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I'm interested in this Thracian from 450 BC; he has a pretty close affinity to R437, and other Italian samples:
https://i.imgur.com/Vn9Msep.png
https://i.imgur.com/lLqqf7K.png
https://www.nature.com/articles/nature25778 (https://www.nature.com/articles/nature25778)
56. Thracian Bulgaria (450 BC) ..... 16.62 - I5769 -
Top 95% match vs all users
https://i.imgur.com/PCGHDNy.jpg
https://i.imgur.com/OBlQ6Y1.jpg
https://i.imgur.com/CXPrKHK.jpg
49. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 13.85 - I3499 -
Ancient GroupModern GroupSimiliar SamplesHaplogroups (NEW!)PCA AncientPCA ModernResearch Link
Scythian Southern Moldova (290 BC) (7.94)
Gallo-Roman (590 AD) (9.094)
Illyrian / Dalmatian (1200 BC) (9.098)
Medieval Iberian (670 AD) (9.27)
Scythian Southern Moldova (270 BC) (9.32)
I'm much closer to these Scythians and Illyrians :
15. Scythian Southern Moldova (270 BC) ..... 9.865 - scy192 -
Top
99% match vs all users
17. Illyrian / Dalmatian (1200 BC) ..... 10.35 - I3313 -
Top
97% match vs all users
Closer yet to this Gallo Roman
9. Gallo-Roman (590 AD) ..... 9.491 - SZ28 - ?
Ancient GroupModern GroupSimiliar SamplesHaplogroups (NEW!)PCA AncientPCA ModernResearch Link
1. North_Italian (5.633)
I think we're just looking at admixed Steppe and Farmer admixed groups.
56. Thracian Bulgaria (450 BC) ..... 16.62 - I5769 -
Top 95% match vs all users
https://i.imgur.com/PCGHDNy.jpg
https://i.imgur.com/OBlQ6Y1.jpg
https://i.imgur.com/CXPrKHK.jpg
From the Moots paper:
Furthermore, qpAdm modeling suggests that Neolithic Italian farmers can be modeled as a two-way mixture of ~5% local hunter-gatherer ancestry and ~95% ancestry of Neolithic farmers from central Anatolia or northern Greece (table S7), who also carry additional CHG (or Neolithic Iranian) ancestry (fig. S12) (14 (https://science.sciencemag.org/content/366/6466/708#ref-14)). These findings point to different or additional source populations involved in the Neolithic transition in Italy compared to central and western Europe.
Citation number 14 is the same study that is referenced for the "Thracian Bulgaria" sample:
https://www.nature.com/articles/nature25778
https://i.imgur.com/93aa1FG.png
From the Moots paper:
Citation number 14 is the same study that is referenced for the "Thracian Bulgaria" sample:
https://www.nature.com/articles/nature25778
https://i.imgur.com/93aa1FG.png
The main European Ancestral Timelapse has 2 Iron Age maps:
BC - Ardea Latin Tribe and Thracian
DC - Romans and (I think R835) Imperial Rome Marche CN
https://i.imgur.com/2k0HbqB.jpg
https://i.imgur.com/t3Izzwx.jpg
My new hidden identity.
I think it's great with the VCF file. He treats me like I'm someone mixed relatively soon. The distances are great but it seems great to support my doctoral thesis.
https://1.bp.blogspot.com/-hvQI1gjMnVA/XeE7xvPl4mI/AAAAAAAABk8/4eirDxWgdrwZJVKBwZcsw5e4UZ7uME2OACLcBGAsYHQ/s640/AlandalusGespids.JPEG
Now we are going to study my first 10 examples of my hidden identity, which is how I titled my doctoral thesis.
https://1.bp.blogspot.com/-lctXX1Y9kU0/XeE7-lyoPCI/AAAAAAAABlA/106SxAlYSsYZMHTL_JHGIdj1CrrA9p0kgCLcBGAsYHQ/s640/CLOSETancient1.JPEG
https://1.bp.blogspot.com/-gqFI2vhqaR4/XeE8B4CXSSI/AAAAAAAABlE/U2deZY40BlsYXA4Bx11A4hNPGYi02j3KQCLcBGAsYHQ/s640/CLOSETancient2.JPEG
https://1.bp.blogspot.com/-k7-683hs4-k/XeE8ErMApjI/AAAAAAAABlI/rlt4lGWUwz07QZAz_vhiFuR88d37U0dSQCLcBGAsYHQ/s640/CLOSETancient3.JPEG
https://1.bp.blogspot.com/-J9yQNv0d5WY/XeE8Ia6kRfI/AAAAAAAABlM/R_4ESacPcfIR_RUOAy90ZP-9cxacsbzVwCLcBGAsYHQ/s640/CLOSETancient4.JPEG
https://1.bp.blogspot.com/-VYhbKOLT3Tk/XeE8PO3zofI/AAAAAAAABlU/T8xX9No16p8xwqmAIJbd55mheQllscfzwCLcBGAsYHQ/s640/CLOSETancient5.JPEG
https://1.bp.blogspot.com/-J-tU2X5OqFY/XeE8SeyEd7I/AAAAAAAABlY/-O3pUco-mzM7DW_t5PWDFQHQcUcUfBRKACLcBGAsYHQ/s640/CLOSETancient6.JPEG
https://1.bp.blogspot.com/-3eF0BNWOHJM/XeE8VqzN61I/AAAAAAAABlc/T9njj1BRvcoaqceirYW6QrWLXtJ_jExYQCLcBGAsYHQ/s640/CLOSETancient7.JPEG
https://1.bp.blogspot.com/-DmHVAAEch1U/XeE8dJ5rAEI/AAAAAAAABlo/yNJ_rPK1BWM_A6m10tdl5Ge2odNIUnoAgCLcBGAsYHQ/s640/CLOSETancient8.JPEG
https://1.bp.blogspot.com/-NAxzXGJVTdA/XeE8hO85i-I/AAAAAAAABlw/3vzG7UOHR2kig-gTqmalt-X7IaGXpzezACLcBGAsYHQ/s640/CLOSETancient9.JPEG
https://1.bp.blogspot.com/-hdL2m3VKCJc/XeE8j4K-M_I/AAAAAAAABl0/BQRu95ut770EyEhYOJxD6EzyKvoYCpoEQCLcBGAsYHQ/s640/CLOSETancient10.JPEG
Segments Mape
https://1.bp.blogspot.com/-5QrQU4-O9xw/XeUoLU1sQVI/AAAAAAAABog/qwmDzBuT8Q4F-1lK1F_8wK84sBDIo9O6wCLcBGAsYHQ/s640/closet11.jpeg
https://1.bp.blogspot.com/-qYoN3K40okA/XeUoOJYgZcI/AAAAAAAABok/G_nL6SYRMY4rGi8-nXpmBWxD6WpYGbNlwCLcBGAsYHQ/s640/closet12.JPEG
https://1.bp.blogspot.com/-5N3NhTCH6DQ/XeUoRvPK6OI/AAAAAAAABoo/E-LFeBFFfksmb00lDsa_cEP2wWZRNFwVACLcBGAsYHQ/s640/CLOSET13.JPEG
https://1.bp.blogspot.com/-F4z49Jk_ARA/XeUoU3QOtiI/AAAAAAAABos/14GljCShYKIVbDJ1AFg66THad1hciXauQCLcBGAsYHQ/s640/CLOSET14.JPEG
https://1.bp.blogspot.com/-2Tg9Q7e7sPs/XeUoZ0Ki5pI/AAAAAAAABow/3_m9FKIMiQ8wPUKf5xgW9_Yh19TpFa_hgCLcBGAsYHQ/s640/CLOSET15.JPEG
https://1.bp.blogspot.com/-DijLpSL25Jc/XeUodXDncMI/AAAAAAAABo4/Uq7AXTgkNoE5YTqQKfegNCXopjfKWb3JgCLcBGAsYHQ/s640/CLOSE16.JPEG
https://1.bp.blogspot.com/-NgpGpjYf6y8/XeUog-_f1LI/AAAAAAAABpA/sHURanNsCBAR84u_8YHaLOrp8-NloywkQCLcBGAsYHQ/s640/CLOSET17.JPEG
https://1.bp.blogspot.com/-a2RkKpwIx1A/XeUWamcfp8I/AAAAAAAABmw/PldepVHD8GgdbEiwlUqxTo3ui7xrc3GhgCLcBGAsYHQ/s640/VISIGODO1.jpeg
https://1.bp.blogspot.com/-fy-SVO3cky8/XeUWf88ilnI/AAAAAAAABm0/QvgwbI6-boca3sM0Mpaa8lIStVKgMJuegCLcBGAsYHQ/s640/VISIGODO2.jpeg
https://1.bp.blogspot.com/-b9sa88Zkf5k/XeUWnYVXvfI/AAAAAAAABm4/oruaf_gbn0kf9UzwF6h1vGgLdyEMQeSzQCLcBGAsYHQ/s640/visigodo3.JPEG
https://1.bp.blogspot.com/-s7iH1hSDwkI/XeUWxcfKxII/AAAAAAAABnE/sDg3JkDHse01qvVkVTuvH-QK3Y9kitIeQCLcBGAsYHQ/s640/VISIGODO4.JPEG
https://1.bp.blogspot.com/-7roTk7nMcq8/XeUW2tclIBI/AAAAAAAABnI/77QtQUzG9wUn-wtqGx8x8HSZGQFrkgLuwCLcBGAsYHQ/s640/VISIGODO5.JPEG
https://1.bp.blogspot.com/-AjlagrzEzEI/XeUW7aA3mVI/AAAAAAAABnQ/ikBdNQiLzIoYzaOhUCvQswfydJSm21k6gCLcBGAsYHQ/s640/VISIGODO6.JPEG
https://1.bp.blogspot.com/-cWADI83Egag/XeUXAmzReUI/AAAAAAAABnU/FBW2ritNO4QbYRDbeN6D_EPrS1nPTThMwCLcBGAsYHQ/s640/VISIGODO7.JPEG
https://1.bp.blogspot.com/-AS6pyqkaJK8/XeUXEhSrwwI/AAAAAAAABnY/-8b7qGvXpuoFdMELakl6noG2tRQTcr9gACLcBGAsYHQ/s640/VISIGODO8.JPEG
https://1.bp.blogspot.com/-3ZwUnC5nDDQ/XeUXJefpoMI/AAAAAAAABng/u8mrNRCYOPM2DAuPgl8Mo64S7bnEaZ6zwCLcBGAsYHQ/s640/VISIGODO9.JPEG
https://1.bp.blogspot.com/-DoWS0owKkF8/XeUXOPrEqsI/AAAAAAAABnk/W7NCUD6OsRspUYpUkHQZLV4vBPvOti3ewCLcBGAsYHQ/s640/VISIGODO10.JPEG
https://1.bp.blogspot.com/-a6LZFU-ZUqw/XeUXTdk--LI/AAAAAAAABns/z09iXDUHyZYYbdCyWs2ZeT_TH_DX0mXbwCLcBGAsYHQ/s640/VISIGODO11.JPEG
https://1.bp.blogspot.com/-jJ4k_aXAonY/XeUXbAaXaWI/AAAAAAAABn0/0SqhUceLf80akYICD6G7EGvpvWzmhMgVQCLcBGAsYHQ/s640/VISIGODO12.JPEG
https://1.bp.blogspot.com/-WoaSrZo3p-g/XeUXgipHRiI/AAAAAAAABn8/4OQo5eUX3GAsAOhSDSPHwmkZc2xfAhGMQCLcBGAsYHQ/s640/VISIGODO13.JPEG
https://1.bp.blogspot.com/-bIGIr1MrlZ4/XeUXlezOYYI/AAAAAAAABoA/5cbWshvngUcfL_Prew0b1kFMirHqUo0_wCLcBGAsYHQ/s640/VISIGODO14.jpg
https://1.bp.blogspot.com/-_RdD2jclP9Y/XeUXrg58Y_I/AAAAAAAABoI/BHfXJ21e9bgulb26y3qWlbUHRYBRy5CbwCLcBGAsYHQ/s640/VISIGODO15.JPEG
https://1.bp.blogspot.com/-ye615-lT0fA/XeUXyAFGiGI/AAAAAAAABoQ/tWtzUDyYLO0u1DbpbtRkf8Tu_Y4OiURtgCLcBGAsYHQ/s640/VISIGODO16.JPEG
https://1.bp.blogspot.com/-wn8a3fZgRlk/XeUunGhO3YI/AAAAAAAABpY/0K74mjZ-4zs3SGuvfbunhSQVcp6_wAHmACLcBGAsYHQ/s640/VISIGODO17.JPEG
https://1.bp.blogspot.com/-YECmj33VHVk/XeCXP4IpZBI/AAAAAAAABkw/QZtUSnOmlNQhn6900paiB9cg6qkmu0mpgCLcBGAsYHQ/s640/dnaLANDmapaMundi.JPEG
I think it's a great tool. Like Russian dolls. It is what it is
https://1.bp.blogspot.com/-TlhLwFUXamU/XeXLGhsvTGI/AAAAAAAABpk/mGcmGqoMK2QzUeABAk8yNCfiCqCjs9ZUQCLcBGAsYHQ/s640/COMPARACI%25C3%2593N2kitsDNAland.JPEG
11655I have a new Deep Dive relative! Trumpington Meadows, eh? Sounds like it is in England and a property of Donald Trump, who, like me, is the male-line descendant of a Lutheran Palatine German immigrant.
Just wondering what’s happening with the leaked PCA ...
anybody? :)
Just wondering what’s happening with the leaked PCA ...
anybody? :)
Hi dear friend Salento. I would like much contribute with something, but I don’t have idea about what is this leaked PCA that you cited. Than, I am waiting anybody too, as you. Cheers ;) :good_job::smile:
Hi dear friend Salento. I would like much contribute with something, but I don’t have idea about what is this leaked PCA that you cited. Than, I am waiting anybody too, as you. Cheers ;) :good_job::smile:
It could be another SECRET Roman PCA,
the purple triangles are Ancient Roman Samples, the Yellow represents modern populations, and the Tarantula ME (Salento) :grin: LOL
https://i.imgur.com/k1HSzXT.jpg
It could be another SECRET Roman PCA,
the purple triangles are Ancient Roman Samples, the Yellow represents modern populations, and the Tarantula ME (Salento) :grin: LOL
https://i.imgur.com/k1HSzXT.jpg
Apparently they have found a member of gens sergia of the oldest Roman families.
To all: I could use some advise in understanding MyTrueAncestry. They list "ancient relatives" with whom I share identified DNA segments. The very first of these is Corded Ware Denmark (2450 BC). Of this they list:
- Rise61: mtDNA: J1c4, Y-DNA: R1a1a1, Total cM=49.85, Largest segment=11.98 cM (17 shared. Sample quality: 17) - Your raw DNA is 74% closer than other matching users
However, when I enter this into the One to One autosomal matching in Gedcom, I get, "No shared DNA segments found." This results with no modifications to the set search settings:
Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 7.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Is this a problem with MyTrueAncestry, Gedcom, or me?
@shissem Change the:
“Minimum segment cM size
to be included in total:
(Leave blank for default value = 7”) to 1
If you still don’t ge anything try Q-Matching One-To-One, (is not free) and do the same thing (change the 7 default value to 1).
Maybe you’ll get something.
@shissem Change the:
“Minimum segment cM size
to be included in total:
(Leave blank for default value = 7”) to 1
If you still don’t ge anything try Q-Matching One-To-One, (is not free) and do the same thing (change the 7 default value to 1).
Maybe you’ll get something.
Salento, thank you for the response. Your first hint did not help (got the same answer), but I will look into Gedcom's Tier 1.
Salento, thank you for the response. Your first hint did not help (got the same answer), but I will look into Gedcom's Tier 1.
Q-Matching One-to-One:
Salento vs Kit M130094 RISE61 Battle Axe Denmark
Total cM: 14.54
Largest segment cM: 4.30
Total segments: 7
Total gap-induced breaks: 4
Max gap: 2.35
........
https://i.imgur.com/3seE6jM.jpg
Salento, again thank you, you're a good man.
I suppose my concern at this point is not so much that I can't get a match on Gedcom for this one sample, but why is there such a mismatch between it and MTA? After all, the MTA gave me Rise6 as my top match. Has anyone else seen this kind of discrepancy?
And yes, I understand this is just an amateur, fun exercise meant more for entertainment than anything else.
https://www.yourdnaportal.com/assets/images/agreeableness.jpg
Agreeableness
rs12934132GG
People with your genotype tend to be more agreeable. Agreeableness is one of the 'big five' personality traits that psychologists use to assess character.SHOW/HIDE REFERENCES
https://1.bp.blogspot.com/-_srGtfZBUxE/XecG6UU00PI/AAAAAAAABp8/l8GTPKa61V8BDD0RoSY3tvhr_IjwP-figCLcBGAsYHQ/s640/PREMIUMeurope150matches.jpeg
https://sbt.blob.core.windows.net/site-images/ela/doctor-jekyll-and-mister-hyde.png
https://1.bp.blogspot.com/-PYiIv3Yi0MY/XecHCRBwskI/AAAAAAAABqA/uuka3WJfunknNbZ-i-jFPJ5H5HfcPap2gCLcBGAsYHQ/s640/MapeEURPEPREMIUMidentidadOculta.JPEG
https://1.bp.blogspot.com/-l4iRp2F2lEw/XecHIAFCAVI/AAAAAAAABqE/bwdb38S7JGoaf089jJgz3uBpe70UWI1yQCLcBGAsYHQ/s640/MAPEPREMIUNeuropeAsiaIDENTIDADoculta.JPEG
... intermediate tendency to be Agreeable:
https://i.imgur.com/cGPzAnZ.jpg
... from the Latin Tribes to the Mausoleum of Augustus:
https://i.imgur.com/G5aPzbo.jpg
https://i.imgur.com/OzolGbk.jpg
https://i.imgur.com/jpkQNHG.jpg
Mausoleo di Augusto:
https://upload.wikimedia.org/wikipedia/commons/thumb/b/b8/Roma-mausoleo_di_augusto.jpg/640px-Roma-mausoleo_di_augusto.jpg
Top 40:
https://i.imgur.com/vf9Qii4.jpg
Roman singer Giulia Penna vs the portrait of the Ancient Roman Domina:
https://aboutcreators.it/wp-content/uploads/2018/03/Giulia-Penna-video-parodia-2015-1024x683.jpg
https://i.imgur.com/kt2hTaO.jpg
... not exactly, but think of a Trojan-Hellenic-Roman dance-song,
Giulia Penna :heart: :grin: ... (in English):
https://youtu.be/E7DzjKjKGnc
Roman singer Giulia Penna vs the portrait of the Ancient Roman Domina:
https://aboutcreators.it/wp-content/uploads/2018/03/Giulia-Penna-video-parodia-2015-1024x683.jpg
https://i.imgur.com/kt2hTaO.jpg
... not exactly, but think of a Trojan-Hellenic-Roman dance-song,
Giulia Penna :heart: :grin: ... (in English):
https://youtu.be/E7DzjKjKGnc
Beautiful woman. Beautiful song. Wonderfully dancing music.
Una bella ragazza italiana ;)
Roman singer Giulia Penna vs the portrait of the Ancient Roman Domina:
https://aboutcreators.it/wp-content/uploads/2018/03/Giulia-Penna-video-parodia-2015-1024x683.jpg
https://i.imgur.com/kt2hTaO.jpg
... not exactly, but think of a Trojan-Hellenic-Roman dance-song,
Giulia Penna :heart: :grin: ... (in English):
https://youtu.be/E7DzjKjKGnc
I don't see her as ancient Roman or Domina. Perhaps nowadays it comes from a well-off family, I think that its origins in ancient Rome were foreign. I think it is a freedom (Liberta).
There's absolutely nothing "foreign" about her look. She looks like every other contestant in the Miss Italy contest , face and body both. It's an extremely common type.
While born in Rome, and the name is common in both Northwestern Italy and Napoli, she looks to me more southern in origin, so I'm quite sure women like her lived in ancient Rome.
https://i.ytimg.com/vi/9bJ5B4k32iY/maxresdefault.jpg
https://i.pinimg.com/736x/b9/66/08/b96608e1b114eaa19877b0cf15e4bdb0.jpg
https://i.pinimg.com/736x/cd/1f/f8/cd1ff8cd9993aeeed64b0a1b1119fd7e--ancient-pompeii-ancient-art.jpg
Now, let's leave "phenotype" for the proper thread and get back on topic, shall we?
3D Sample Analyzes
Single raw :-D
https://i.imgur.com/INZf6Kp.gif
Combined raw :-D
https://i.imgur.com/4o2l8Fy.gif
@Salento. Very cool :good_job:
https://i.imgur.com/Ki23d1s.gif
@Duarte very NICE Carioca colors :)
@Duarte very NICE Carioca colors :)
Thanks Salento :good_job::smile:
my only
Your Outlier Samples.
131. Western-Scythian Black Sea (290 BC) ..... 22.07 - MJ34 -
Top 43% match vs all users
152. Hellenic Seleucid Anatolia (165 BC) ..... 23.45 - MA2198 - ?
Top 87% match vs all users
156. Scythian Ukraine (600 BC) ..... 23.71 - scy010 -
Top 48% match vs all users
169. Germanic Mixed Tribe (505 AD) ..... 24.36 - AED125b - ?
Top 40% match vs all users
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,........... ..........................
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,........... ............................
//////////////////////////////////////
my
Neolithic Age
31. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 14.31 - I3499 -
Top 97% match vs all users
.................................................. ......
my
Early Bronze Age
32. Illyrian / Dalmatian (1600 BC) ..... 14.39 - I4332 -
Top 94% match vs all users
37. Illyrian / Dalmatian (1600 BC) ..... 15.0 - I4331 -
Top 92% match vs all users
.................................................. ........................
my
Late Bronze Age
1. Protovillanovia Martinsicuro (930 BC) ..... 4.076 - R1 -
Top 99% match vs all users
4. Illyrian / Dalmatian (1200 BC) ..... 8.937 - I3313 -
Top 98% match vs all users
51. Thraco-Cimmerian Black Sea (900 BC) ..... 15.89 - MJ12 -
Top 97% match vs all users
................................................
my Iron age.......all around Moltova ......what does this mean
Iron Age
7. Scythian Southern Moldova (290 BC) ..... 10.0 - scy197b - ?
Top 98% match vs all users
17. Scythian Southern Moldova (270 BC) ..... 12.35 - scy192 -
Top 97% match vs all users
24. Scythian Southern Moldova (290 BC) ..... 13.52 - scy300 -
Top 97% match vs all users
30. Scythian Southern Moldova (290 BC) ..... 14.25 - scy305 -
Top 96% match vs all users
40. Scythian Moldova (290 BC) ..... 15.24 - scy311 -
Top 66% match vs all users
..............................................
my
Roman Age
50. Imperial Rome Mausoleo Augusto (500 AD) ..... 15.85 - R33 -
Top 93% match vs all users
52. Thuringii Tribe (420 AD) ..... 15.94 - AED_1108 - ?
Top 71% match vs all users
.................................................. ........
my
Dark Ages
2. Gallo-Roman (590 AD) ..... 7.332 - SZ28 - ?
Top 99% match vs all users
5. Central Roman (590 AD) ..... 9.695 - SZ36 -
Top 98% match vs all users
6. Central Roman (670 AD) ..... 9.874 - CL36 - ?
Top 98% match vs all users
8. Central Roman (590 AD) ..... 10.06 - SZ43 -
Top 98% match vs all users
9. North Roman Warrior (590 AD) ..... 10.11 - NS3c - ?
Top 99% match vs all users
10. Byzantine Roman Warrior (605 AD) ..... 10.63 - NS3b - ?
Top 99% match vs all users
11. Medieval Piedmont (670 AD) ..... 11.18 - CL57 -
Top 96% match vs all users
12. Iberian / Piedmont (670 AD) ..... 11.52 - CL94 -
Top 95% match vs all users
14. Medieval Iberian (670 AD) ..... 11.78 - CL23 -
Top 98% match vs all users
15. Central Roman (590 AD) ..... 11.92 - SZ32 - ?
Top 97% match vs all users
Most of my top 10 matches are Dark Age Germanic Tribesmen, while my top Deep Dive match is Gaelic Settler Viking Iceland; given I have Irish ancestry and a great-great-grandmother whose birth certificate was in English AND Gaelic, that guy could be a very distant cousin.
Top 10 by Era (almost :)
https://i.imgur.com/jubPgBO.gif
Top 10 by Era (almost :)
https://i.imgur.com/jubPgBO.gif
Wonderful, you have never seen someone so Roman. Ampuria brava is wonderful but Torna alta Andalucía will chase you wherever you go and for all eternity.
I have obtained 18 Alpine results, the Alps are a mountain range, when I went to Berlin I crossed it from the sky. I will publish tomorrow, I will retire to my rooms, soon it will dawn once again, hopelessly.
Wonderful, you have never seen someone so Roman. Ampuria brava is wonderful but Torna alta Andalucía will chase you wherever you go and for all eternity.
I have obtained 18 Alpine results, the Alps are a mountain range, when I went to Berlin I crossed it from the sky. I will publish tomorrow, I will retire to my rooms, soon it will dawn once again, hopelessly.
(Timelines) Torna Alta Andalucía is a Señorita, I think, .. 💃🏻 chasing me for all eternity? lol
She’s always in red, and in some case, she’s the only one in red.
... Mañana por la Mañana :)
https://i.imgur.com/tX4b4Qt.jpg
Very cool guys. :good_job: With this new weekend upgrade, these are some of my acquirements:
Ancient relatives - new share identified DNA segmentshttps://i.imgur.com/ZWk3BOc.png
https://i.imgur.com/h97XfUT.png
https://i.imgur.com/Fi3uA36.png
https://i.imgur.com/cdbbSAv.png
https://i.imgur.com/hxEIRnX.png
https://i.imgur.com/06eAP57.png
Since i still cannot link images i am going to post only:
Ancient Populations:
Hellenic Roman + Roman (10.38)
Roman (10.98)
Ancient Greek + Roman (13.25)
Hellenic Roman (14.47)
Ancient Greek (17.59)
1. Central Roman (590 AD) ..... 10.98
Top
98
% match vs all users
2. [Hidden] - upgrade to Footman+ ..... 12.45
Top
97
% match vs all users
3. Central Roman (590 AD) ..... 13.08
Top
93
% match vs all users
4. [Hidden] - upgrade to Footman+ ..... 13.46
Top
95
% match vs all users
5. Tuscan Medieval Villa Magna Italy (905 AD) ..... 13.47
Top
93
% match vs all users
6. [Hidden] - upgrade to Footman+ ..... 13.92
Top
98
% match vs all users
7. Hellenic Roman (590 AD) ..... 14.47
Top
93
% match vs all users
8. [Hidden] - upgrade to Footman+ ..... 15.2
Top
92
% match vs all users
9. Central Roman (670 AD) ..... 15.26
Top
92
% match vs all users
10. [Hidden] - upgrade to Footman+ ..... 15.69
Top
92
% match vs all users
11. Medieval Italy Abbadia SS Plague (1348 AD) ..... 16.33
Top
92
% match vs all users
12. [Hidden] - upgrade to Footman+ ..... 16.53
Top
91
% match vs all users
13. Visigoth Mixed Slav Girona (550 AD) ..... 16.54
Top
80
% match vs all users
14. [Hidden] - upgrade to Footman+ ..... 16.63
Top
92
% match vs all users
15. Roman Imperial Palestrina (100 AD) ..... 16.74
Top
93
% match vs all users
16. [Hidden] - upgrade to Footman+ ..... 16.93
Top
92
% match vs all users
17. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 17.01
Top
95
% match vs all users
18. [Hidden] - upgrade to Footman+ ..... 17.09
Top
92
% match vs all users
19. Central Roman (670 AD) ..... 17.25
Top
90
% match vs all users
20. [Hidden] - upgrade to Footman+ ..... 17.49
Top
89
% match vs all users
Modern populations:
1. Greek_Thessaly (6.550)
2. Bulgarian (9.893)
3. Greek (10.47)
4. Kosovan (10.70)
5. Romanian (11.34)
6. Macedonian (11.40)
7. Central_Greek (12.80)
8. Italian_Abruzzo (13.25)
Since i still cannot link images i am going to post only:
Ancient Populations:
Hellenic Roman + Roman (10.38)
Roman (10.98)
Ancient Greek + Roman (13.25)
Hellenic Roman (14.47)
Ancient Greek (17.59)
1. Central Roman (590 AD) ..... 10.98
Top
98
% match vs all users
2. [Hidden] - upgrade to Footman+ ..... 12.45
Top
97
% match vs all users
3. Central Roman (590 AD) ..... 13.08
Top
93
% match vs all users
4. [Hidden] - upgrade to Footman+ ..... 13.46
Top
95
% match vs all users
5. Tuscan Medieval Villa Magna Italy (905 AD) ..... 13.47
Top
93
% match vs all users
6. [Hidden] - upgrade to Footman+ ..... 13.92
Top
98
% match vs all users
7. Hellenic Roman (590 AD) ..... 14.47
Top
93
% match vs all users
8. [Hidden] - upgrade to Footman+ ..... 15.2
Top
92
% match vs all users
9. Central Roman (670 AD) ..... 15.26
Top
92
% match vs all users
10. [Hidden] - upgrade to Footman+ ..... 15.69
Top
92
% match vs all users
11. Medieval Italy Abbadia SS Plague (1348 AD) ..... 16.33
Top
92
% match vs all users
12. [Hidden] - upgrade to Footman+ ..... 16.53
Top
91
% match vs all users
13. Visigoth Mixed Slav Girona (550 AD) ..... 16.54
Top
80
% match vs all users
14. [Hidden] - upgrade to Footman+ ..... 16.63
Top
92
% match vs all users
15. Roman Imperial Palestrina (100 AD) ..... 16.74
Top
93
% match vs all users
16. [Hidden] - upgrade to Footman+ ..... 16.93
Top
92
% match vs all users
17. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 17.01
Top
95
% match vs all users
18. [Hidden] - upgrade to Footman+ ..... 17.09
Top
92
% match vs all users
19. Central Roman (670 AD) ..... 17.25
Top
90
% match vs all users
20. [Hidden] - upgrade to Footman+ ..... 17.49
Top
89
% match vs all users
Modern populations:
1. Greek_Thessaly (6.550)
2. Bulgarian (9.893)
3. Greek (10.47)
4. Kosovan (10.70)
5. Romanian (11.34)
6. Macedonian (11.40)
7. Central_Greek (12.80)
8. Italian_Abruzzo (13.25)
Interesting that you don't get Tuscan. I've seen other Albanians get it.
Fwiw, their modern populations fit for me, which is really, I guess, just Eurogenes K15, is one of the worst I've gotten.
Interesting that you don't get Tuscan. I've seen other Albanians get it.
Fwiw, their modern populations fit for me, which is really, I guess, just Eurogenes K15, is one of the worst I've gotten.
I don't know here, but in MLDP calculator i do get a Tuscan. Though, i might be wrong in all calculators my Caucasus and North European is slightly higher than the average Albanian.
Mine, Albanian.
Population
Amerindian
-
Ancestor
0.24 Pct
Steppe
16.38 Pct
Indian
-
Arctic
-
Australian
-
Caucasian
37.69 Pct
EastAfrican
-
NorthEastEuropean
15.73 Pct
NearEast
-
Neolithic
29.65 Pct
NorthAfrican
-
Oceanic
-
Siberian
-
SouthEastAsian
0.29 Pct
Subsaharian
-
Admix Results (sorted):
#
Population
Percent
1
Caucasian
37.69
2
Neolithic
29.65
3
Steppe
16.38
4
NorthEastEuropean
15.73
5
SouthEastAsian
0.29
6
Ancestor
0.24
7
Australian
0.02
Single Population Sharing:
#
Population (source)
Distance
1
Greek (Thessaloniki)
5.4
2
Albanian (Albania)
5.84
3
Kosovar (Kosovo)
5.91
4
Greek (Greece)
7.03
5
Italian (Tuscany)
7.4
6
Bulgarian (Bulgaria)
8.03
7
Bulgarian (Bulgaria)
8.06
8
Macedonian (Macedonia)
8.11
9
Greek (Peloponnes)
8.32
10
Gagauz (Gagauzia)
8.7
11
Greek (Macedonia)
9.19
12
Greek (Athens)
9.33
13
Italian (NorthIitaly)
9.44
14
Italian (Abruzzo)
9.74
15
Romanian (Romania)
9.78
16
Romanian (Gorj)
9.88
17
Montenegrian (Montenegro)
10.06
18
Italian (Friul)
10.52
19
Italian (Bergamo)
10.52
20
Serbian (Serbia)
10.69
I don't know here, but in MLDP calculator i do get a Tuscan. Though, i might be wrong in all calculators my Caucasus and North European is slightly higher than the average Albanian.
best to try MLDP K23b
mine below
MDLP K23b Oracle Rev 2014 Sep 16
Admix Results (sorted):
#
Population
Percent
1
European_Early_Farmers
29.06
2
Caucasian
27.92
3
European_Hunters_Gatherers
25.54
4
South_Central_Asian
5.01
5
Near_East
4.20
6
North_African
4.12
7
Ancestral_Altaic
3.19
Finished reading population data. 620 populations found.
23 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Italian_North_ @ 1.616997 ...............gap of 9.0 points , never seen this anywhere
2 Italian_Piedmont_ @ 10.678257
3 Kosovar_ @ 10.711663
4 German-Volga_ @ 10.766364
5 Italian_Bergamo_ @ 11.002331
6 Greek_Northwest_ @ 11.166147
7 Italian_Tuscan_ @ 11.619445
8 French_ @ 12.120668
9 Bulgarian_ @ 13.362151
.................................................. ...........
I see you used ........
MDLP K16 2xOracle and OracleX4 .............................mine below
Admix Results (sorted):
#
Population
Percent
1
Neolithic
30.99
2
Caucasian
27.40
3
Steppe
18.76
4
NorthEastEuropean
18.63
5
NorthAfrican
1.75
6
NearEast
1.63
Finished reading population data. 517 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Italian_Friul @ 5.779080
2 Provencal_Provence @ 5.918087
Mine :)
Neolithic Age
https://mytrueancestry.com/img/NeolithicPattern.jpg
66. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 16.81 - I3499 -
Top
94% match vs all users
Early Bronze Age
https://mytrueancestry.com/img/ScandiaBronze.jpg
67. Illyrian / Dalmatian (1600 BC) ..... 17.03 - I4331 -
Top
89% match vs all users
82. Illyrian / Dalmatian (1600 BC) ..... 18.38 - I4332 -
Top
88% match vs all users
Late Bronze Age
https://mytrueancestry.com/img/GerBronze.jpg
1. Protovillanovia Martinsicuro (930 BC) ..... 5.999 - R1 -
Top
99% match vs all users
11. Illyrian / Dalmatian (1200 BC) ..... 11.75 - I3313 -
Top
94% match vs all users
Iron Age
https://mytrueancestry.com/img/ScandiaIron.jpg
33. Scythian Southern Moldova (290 BC) ..... 14.2 - scy300 -
Top
96% match vs all users
37. Scythian Southern Moldova (270 BC) ..... 14.45 - scy192 -
Top
94% match vs all users
40. Scythian Southern Moldova (290 BC) ..... 14.65 - scy197b - ?
Top
93% match vs all users
78. Scythian Southern Moldova (290 BC) ..... 17.94 - scy305 -
Top
92% match vs all users
81. Latin Tribe Ardea (650 BC) ..... 18.26 - R850 -
Top
94% match vs all users
96. Latin Prenestini Tribe Inland PS (300 BC) ..... 19.67 - R437 -
Top
92% match vs all users
Roman Age
https://mytrueancestry.com/img/ItalyEarlyImperial.jpg
7. Late Roman Empire Crypta Balbi (500 AD) ..... 9.626 - R107 -
Top
99% match vs all users
12. Roman Empire Monterotondo (165 AD) ..... 11.92 - R1540
Top
99% match vs all users
20. Central Roman San Ercolano (100 AD) ..... 12.76 - R117 -
Top
97% match vs all users
21. Central Roman Celio Military Hospital (500 AD) ..... 12.92 - R35 -
Top
98% match vs all users
28. Imperial Rome Empire Via Paisiello (100 AD) ..... 13.74 - R114 -
Top
94% match vs all users
29. Early Medieval Iberia Granada (500 AD) ..... 13.82 - I3981 -
Top
95% match vs all users
30. Imperial Rome Marche CN (165 AD) ..... 13.83 - R835 -
Top
97% match vs all users
35. Central Roman Mausoleo Augusto (500 AD) ..... 14.34 - R32 -
Top
98% match vs all users
41. Imperial Rome Centocelle (200 AD) ..... 14.74 - R51 -
Top
96% match vs all users
42. Late Roman Iberia Granada (500 AD) ..... 14.85 - I3582 -
Top
96% match vs all users
Dark Ages
https://mytrueancestry.com/img/ScandiaVendel.jpg
2. Central Roman (590 AD) ..... 6.512 - SZ43 -
Top
99% match vs all users
3. Central Roman (590 AD) ..... 7.298 - SZ36 -
Top
99% match vs all users
6. Central Roman (670 AD) ..... 8.822 - CL36 - ?
Top
99% match vs all users
8. Byzantine Roman Warrior (605 AD) ..... 9.685 - NS3b - ?
Top
99% match vs all users
9. Central Roman (670 AD) ..... 10.99 - CL121 -
Top
98% match vs all users
10. Gallo-Roman (590 AD) ..... 11.36 - SZ28 - ?
Top
97% match vs all users
15. North Roman Warrior (590 AD) ..... 12.26 - NS3c - ?
Top
97% match vs all users
18. Medieval Iberian (670 AD) ..... 12.69 - CL23 -
Top
97% match vs all users
19. Central Roman (590 AD) ..... 12.75 - SZ32 - ?
Top
96% match vs all users
34. Late Roman Iberia Granada (650 AD) ..... 14.23 - I3575 -
Top
98% match vs all users
Medieval Age
https://mytrueancestry.com/img/NorsePattern.jpg
5. Tuscan Medieval Villa Magna Italy (905 AD) ..... 8.78 - R60 -
Top
99% match vs all users
13. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 12.05 - R64 -
Top
99% match vs all users
14. Medieval Villa Magna Italy (905 AD) ..... 12.06 - R59 -
Top
99% match vs all users
16. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 12.3 - R1290 -
Top
95% match vs all users
22. Medieval Italy Abbadia SS Plague (1348 AD) ..... 13.01 - BSS31
Top
98% match vs all users
23. Iberian Taifa of Valencia (1100 AD) ..... 13.34 - I2515
Top
94% match vs all users
24. Spaniard Cordoba Caliphate (1050 AD) ..... 13.43 - I12515 -
Top
94% match vs all users
25. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 13.44 - R57 -
Top
98% match vs all users
26. Late Medieval Villa Magna Italy (1355 AD) ..... 13.68 - R52 -
Top
99% match vs all users
27. Iberian Taifa of Valencia (1120 AD) ..... 13.7 - I2514
Top
94% match vs all users
Early Modern Period
https://mytrueancestry.com/img/GerHansa.jpg
4. Morisco Italo-Iberian Andalusia (1550 AD) ..... 7.644 - I7424 -
Top
99% match vs all users
17. Tivoli Palace Late Renaissance (1650 AD) ..... 12.36 - R970 -
Top
98% match vs all users
31. Morisco Convert Andalusia (1550 AD) ..... 13.92 - I7425 -
Top
95% match vs all users
46. Marseilles Plague Victim (1721 AD) ..... 15.3 - OBS137 - ?
Top
89% match vs all users
69. Tivoli Palace Late Renaissance (1650 AD) ..... 17.28 - R973 -
Top
93% match vs all users
74. Tivoli Palace Late Renaissance (1650 AD) ..... 17.73 - R969 -
Top
92% match vs all users
... and curious these "outlier samples"
Your Outlier Samples...
(These are the most genetically unique among your broader matching samples)
https://mytrueancestry.com/img/Outlier.jpg
152. Lugii Tribe Iron Age Maslomecz (300 AD) ..... 24.39 - PCA89_Mas2 - ?
Top
64
% match vs all users
171. Western-Scythian Black Sea (290 BC) ..... 25.77 - MJ34 -
Top
31
% match vs all users
172. Bronze Age Armenia (1500 BC) ..... 26.06 - Rise397 -
Top
89
% match vs all users
176. Bell Beaker Haunstetten Germany (1873 BC) ..... 26.57 - UNTA58_153 -
Top
50
% match vs all users
179. Frankish / Hungary (590 AD) ..... 26.76 - SZ38 - ?
Top
29
% match vs all users
184. Scythian Moldova (300 BC) ..... 27.09 - scy301 -
Top
26
% match vs all users
185. Greco-Bactrian Tajikistan (50 BC) ..... 27.11 - I12293 - ?
Top
97
% match vs all users
186. Roman Empire Casale del Dolce (200 AD) ..... 27.17 - R128 -
Top
89
% match vs all users
189. Ostrogoth Frankish Mix (410 AD) ..... 27.35 - STR_328 -
Top
36
% match vs all users
193. Medieval Tyrolian (590 AD) ..... 27.48 - SZ5 -
Top
25
% match vs all users
194. Iron Age Catalan (650 BC) ..... 27.5 - I3776 -
Top
72
% match vs all users
195. Bell Beaker Haunstetten Germany (2273 BC) ..... 27.58 - UNTA85_1343 -
Top
29
% match vs all users
197. Le Mans Revolutionary France (1793 AD) ..... 27.6 - LM_403_T -
Top
33
% match vs all users
198. Germanic Mixed Tribe (505 AD) ..... 27.6 - AED125b - ?
Top
32
% match vs all users
199. Hittite Anatolia (1875 BC) ..... 27.62 - MA2208 -
Top
91
% match vs all users
https://i.imgur.com/Js7entu.png
best to try MLDP K23b
mine below
MDLP K23b Oracle Rev 2014 Sep 16
Admix Results (sorted):
#
Population
Percent
1
European_Early_Farmers
29.06
2
Caucasian
27.92
3
European_Hunters_Gatherers
25.54
4
South_Central_Asian
5.01
5
Near_East
4.20
6
North_African
4.12
7
Ancestral_Altaic
3.19
Finished reading population data. 620 populations found.
23 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Italian_North_ @ 1.616997 ...............gap of 9.0 points , never seen this anywhere
2 Italian_Piedmont_ @ 10.678257
3 Kosovar_ @ 10.711663
4 German-Volga_ @ 10.766364
5 Italian_Bergamo_ @ 11.002331
6 Greek_Northwest_ @ 11.166147
7 Italian_Tuscan_ @ 11.619445
8 French_ @ 12.120668
9 Bulgarian_ @ 13.362151
.................................................. ...........
I see you used ........
MDLP K16 2xOracle and OracleX4 .............................mine below
Admix Results (sorted):
#
Population
Percent
1
Neolithic
30.99
2
Caucasian
27.40
3
Steppe
18.76
4
NorthEastEuropean
18.63
5
NorthAfrican
1.75
6
NearEast
1.63
Finished reading population data. 517 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Italian_Friul @ 5.779080
2 Provencal_Provence @ 5.918087
Here, my MDLP K23b Oracle results:
#
Population
Percent
1
Caucasian
41.78
2
European_Early_Farmers
23.05
3
European_Hunters_Gatherers
21.85
4
South_Central_Asian
4.53
5
Near_East
3.53
6
Ancestral_Altaic
1.9
7
North_African
1.54
8
Melano_Polynesian
0.86
9
East_Siberian
0.73
10
South_East_Asian
0.24
Single Population Sharing:
#
Population (source)
Distance
1
Central_Greek ( )
4.11
2
Greek_Athens ( )
5.32
3
Albanian_Tirana ( )
5.94
4
Greek_Thessaloniki ( )
6.18
5
Greek ( )
6.22
6
Greek_Thessaly ( )
6.79
7
Italian_South ( )
7.05
8
Romanian_Jew ( )
7.66
9
Greek_Peloponnesos ( )
7.89
10
Gagauz ( )
8.07
11
Greek_Macedonia ( )
8.08
12
Sicilian_Center ( )
8.32
13
Greek_Phokaia ( )
8.36
14
Ashkenazi ( )
8.66
15
Kosovar ( )
9.07
16
Greek_Smyrna ( )
9.1
17
Crimean_Tatar_Mountain ( )
9.23
18
Greek_Islands ( )
9.37
19
Cretan ( )
9.7
20
Greek_Northwest ( )
9.84
Mixed Mode Population Sharing:
#
Primary Population (source)
Secondary Population (source)
Distance
1
85%
Kosovar ( )
+
15%
Georgian_Laz ( )
@
2.28
2
84.6%
Kosovar ( )
+
15.4%
Georgian_Tbilisi ( )
@
2.52
3
84.9%
Kosovar ( )
+
15.1%
Georgian_Imereti ( )
@
2.7
4
84.3%
Kosovar ( )
+
15.7%
Georgian_Svan ( )
@
2.82
5
84.2%
Kosovar ( )
+
15.8%
Georgian_Megrelia ( )
@
2.86
6
80.8%
Kosovar ( )
+
19.2%
Turk_Trabzon ( )
@
2.93
7
90.6%
Albanian_Tirana ( )
+
9.4%
Georgian_Laz ( )
@
2.98
8
90.5%
Albanian_Tirana ( )
+
9.5%
Georgian_Imereti ( )
@
2.99
9
90.3%
Albanian_Tirana ( )
+
9.7%
Georgian_Tbilisi ( )
@
2.99
10
90%
Albanian_Tirana ( )
+
10%
Georgian_Megrelia ( )
@
3.05
11
90.1%
Albanian_Tirana ( )
+
9.9%
Georgian_Svan ( )
@
3.06
12
83.7%
Kosovar ( )
+
16.3%
Georgian ( )
@
3.12
13
83.9%
Kosovar ( )
+
16.1%
Adjara ( )
@
3.15
14
89.6%
Albanian_Tirana ( )
+
10.4%
Abkhasian ( )
@
3.15
15
89.7%
Albanian_Tirana ( )
+
10.3%
Georgian ( )
@
3.16
16
83.6%
Kosovar ( )
+
16.4%
Abkhasian ( )
@
3.2
17
90%
Albanian_Tirana ( )
+
10%
Adjara ( )
@
3.29
18
88%
Albanian_Tirana ( )
+
12%
Turk_Trabzon ( )
@
3.36
19
70.1%
Italian_Piedmont ( )
+
29.9%
Georgian_Tbilisi ( )
@
3.61
20
89%
Albanian_Tirana ( )
+
11%
Kakheti ( )
@
3.67
All Outliers are located at the bottom of a 200 samples list,
I guess it’s another way of saying:
“There’s No Chance in Hell that you’re related to them”!
or, am I missing something?
All Outliers are located at the bottom of a 200 samples list,
I guess it’s another way of saying:
“There’s No Chance in Hell that you’re related to them”!
or, am I missing something?
It might mean you line passed through the same lands as these samples but not related
With ancient populations
11667
With modern ones:
11668
I tend to deprecate the K23b, mostly because I cannot see how I could have that large amount of Ancestral Altaic, whatever that is, but then if a northern Italian can get a 3.19, maybe my 4.25 isn't so irrational. Because everything else checks out.
1
European_Hunters_Gatherers
35.97
2
European_Early_Farmers
27.64
3
Caucasian
21.59
4
South_Central_Asian
5.87
5
Ancestral_Altaic
4.25
6
North_African
3.05
Finished reading population data. 620 populations found.
23 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 English_ @ 2.520670
2 Belgian_ @ 3.189655
3 Irish_ @ 3.521570
4 Frisian_ @ 3.740649
5 North_European_ @ 3.763905
6 South_German_ @ 4.837700
7 Dutch_ @ 4.853911
8 German-Volga_ @ 4.944228
9 English_Kent_GBR_ @ 4.947083
10 CEU_ @ 5.183545
11 English_Cornwall_GBR_ @ 5.436276
12 Welsh_ @ 5.771932
13 British_ @ 6.015256
14 Scottish_Argyll_Bute_GBR_ @ 6.884786
15 Norwegian_East_ @ 7.634028
16 Orcadian_ @ 7.697372
17 Norwegian_West_ @ 8.406718
18 Icelandic_ @ 8.414221
19 North_German_ @ 8.852917
20 Dane_ @ 8.975033
Using 2 populations approximation:
1 50% German-Volga_ +50% North_European_ @ 2.036010
Using 3 populations approximation:
1 50% Irish_ +25% Russian_North_ +25% Spanish_Castilla_y_Leon_IBS_ @ 1.491629
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++
1 Irish_ + Irish_ + Russian_North_ + Spanish_Castilla_y_Leon_IBS_ @ 1.491629
2 Dutch_ + Dutch_ + North_German_ + Portugese_ @ 1.505818
3 Dane_ + Dutch_ + Dutch_ + Portugese_ @ 1.535320
4 Dutch_ + Dutch_ + Portugese_ + Swede_ @ 1.568010
5 Frisian_ + Irish_ + Russian_North_ + Spanish_Castilla_y_Leon_IBS_ @ 1.585438
6 English_Cornwall_GBR_ + Irish_ + Kashub_ + Portugese_ @ 1.607059
7 Italian_North_ + North_European_ + North_European_ + Norwegian_East_ @ 1.612856
8 Frisian_ + Irish_ + Russian_Meshtchyora_ + Spanish_Castilla_y_Leon_IBS_ @ 1.635453
9 Frisian_ + German_ + Irish_ + Portugese_ @ 1.638880
10 English_ + Italian_North_ + North_European_ + Norwegian_East_ @ 1.639687
11 Dutch_ + Frisian_ + Portugese_ + Swede_Saami_ @ 1.653451
12 Irish_ + Italian_North_ + North_European_ + Norwegian_East_ @ 1.655633
13 English_Cornwall_GBR_ + Irish_ + Russian_North_ + Spanish_Castilla_y_Leon_IBS_ @ 1.668169
14 Irish_ + Irish_ + Russian_Meshtchyora_ + Spanish_Castilla_y_Leon_IBS_ @ 1.683186
15 German_ + Irish_ + Irish_ + Portugese_ @ 1.690922
16 English_Cornwall_GBR_ + Italian_North_ + Norwegian_East_ + Norwegian_East_ @ 1.691695
17 Irish_ + Irish_ + Russian_North_ + Spanish_Valencia_IBS_ @ 1.700476
18 Dutch_ + Irish_ + Russian_North_ + Spanish_Valencia_IBS_ @ 1.701872
19 Irish_ + Irish_ + Russian_North_ + Spanish_Andalucia_IBS_ @ 1.710152
20 Dutch_ + Irish_ + Russian_North_ + Spanish_Castilla_la_Mancha_IBS_ @ 1.710274
199. Eurasian Steppes Sintashta (2050 BC) ..... 14.23 - Rise386 -
Top 85% match vs all users
Outlier but a new one to me
Mine :)
Neolithic Age
https://mytrueancestry.com/img/NeolithicPattern.jpg
66. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 16.81 - I3499 -
Top
94
% match vs all users
Early Bronze Age
https://mytrueancestry.com/img/ScandiaBronze.jpg
67. Illyrian / Dalmatian (1600 BC) ..... 17.03 - I4331 -
Top
89
% match vs all users
82. Illyrian / Dalmatian (1600 BC) ..... 18.38 - I4332 -
Top
88
% match vs all users
Late Bronze Age
https://mytrueancestry.com/img/GerBronze.jpg
1. Protovillanovia Martinsicuro (930 BC) ..... 5.999 - R1 -
Top
99
% match vs all users
11. Illyrian / Dalmatian (1200 BC) ..... 11.75 - I3313 -
Top
94
% match vs all users
Iron Age
https://mytrueancestry.com/img/ScandiaIron.jpg
33. Scythian Southern Moldova (290 BC) ..... 14.2 - scy300 -
Top
96
% match vs all users
37. Scythian Southern Moldova (270 BC) ..... 14.45 - scy192 -
Top
94
% match vs all users
40. Scythian Southern Moldova (290 BC) ..... 14.65 - scy197b - ?
Top
93
% match vs all users
78. Scythian Southern Moldova (290 BC) ..... 17.94 - scy305 -
Top
92
% match vs all users
81. Latin Tribe Ardea (650 BC) ..... 18.26 - R850 -
Top
94
% match vs all users
96. Latin Prenestini Tribe Inland PS (300 BC) ..... 19.67 - R437 -
Top
92
% match vs all users
Roman Age
https://mytrueancestry.com/img/ItalyEarlyImperial.jpg
7. Late Roman Empire Crypta Balbi (500 AD) ..... 9.626 - R107 -
Top
99
% match vs all users
12. Roman Empire Monterotondo (165 AD) ..... 11.92 - R1540
Top
99
% match vs all users
20. Central Roman San Ercolano (100 AD) ..... 12.76 - R117 -
Top
97
% match vs all users
21. Central Roman Celio Military Hospital (500 AD) ..... 12.92 - R35 -
Top
98
% match vs all users
28. Imperial Rome Empire Via Paisiello (100 AD) ..... 13.74 - R114 -
Top
94
% match vs all users
29. Early Medieval Iberia Granada (500 AD) ..... 13.82 - I3981 -
Top
95
% match vs all users
30. Imperial Rome Marche CN (165 AD) ..... 13.83 - R835 -
Top
97
% match vs all users
35. Central Roman Mausoleo Augusto (500 AD) ..... 14.34 - R32 -
Top
98
% match vs all users
41. Imperial Rome Centocelle (200 AD) ..... 14.74 - R51 -
Top
96
% match vs all users
42. Late Roman Iberia Granada (500 AD) ..... 14.85 - I3582 -
Top
96
% match vs all users
Dark Ages
https://mytrueancestry.com/img/ScandiaVendel.jpg
2. Central Roman (590 AD) ..... 6.512 - SZ43 -
Top
99
% match vs all users
3. Central Roman (590 AD) ..... 7.298 - SZ36 -
Top
99
% match vs all users
6. Central Roman (670 AD) ..... 8.822 - CL36 - ?
Top
99
% match vs all users
8. Byzantine Roman Warrior (605 AD) ..... 9.685 - NS3b - ?
Top
99
% match vs all users
9. Central Roman (670 AD) ..... 10.99 - CL121 -
Top
98
% match vs all users
10. Gallo-Roman (590 AD) ..... 11.36 - SZ28 - ?
Top
97
% match vs all users
15. North Roman Warrior (590 AD) ..... 12.26 - NS3c - ?
Top
97
% match vs all users
18. Medieval Iberian (670 AD) ..... 12.69 - CL23 -
Top
97
% match vs all users
19. Central Roman (590 AD) ..... 12.75 - SZ32 - ?
Top
96
% match vs all users
34. Late Roman Iberia Granada (650 AD) ..... 14.23 - I3575 -
Top
98
% match vs all users
Medieval Age
https://mytrueancestry.com/img/NorsePattern.jpg
5. Tuscan Medieval Villa Magna Italy (905 AD) ..... 8.78 - R60 -
Top
99
% match vs all users
13. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 12.05 - R64 -
Top
99
% match vs all users
14. Medieval Villa Magna Italy (905 AD) ..... 12.06 - R59 -
Top
99
% match vs all users
16. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 12.3 - R1290 -
Top
95
% match vs all users
22. Medieval Italy Abbadia SS Plague (1348 AD) ..... 13.01 - BSS31
Top
98
% match vs all users
23. Iberian Taifa of Valencia (1100 AD) ..... 13.34 - I2515
Top
94
% match vs all users
24. Spaniard Cordoba Caliphate (1050 AD) ..... 13.43 - I12515 -
Top
94
% match vs all users
25. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 13.44 - R57 -
Top
98
% match vs all users
26. Late Medieval Villa Magna Italy (1355 AD) ..... 13.68 - R52 -
Top
99
% match vs all users
27. Iberian Taifa of Valencia (1120 AD) ..... 13.7 - I2514
Top
94
% match vs all users
Early Modern Period
https://mytrueancestry.com/img/GerHansa.jpg
4. Morisco Italo-Iberian Andalusia (1550 AD) ..... 7.644 - I7424 -
Top
99
% match vs all users
17. Tivoli Palace Late Renaissance (1650 AD) ..... 12.36 - R970 -
Top
98
% match vs all users
31. Morisco Convert Andalusia (1550 AD) ..... 13.92 - I7425 -
Top
95
% match vs all users
46. Marseilles Plague Victim (1721 AD) ..... 15.3 - OBS137 - ?
Top
89
% match vs all users
69. Tivoli Palace Late Renaissance (1650 AD) ..... 17.28 - R973 -
Top
93
% match vs all users
74. Tivoli Palace Late Renaissance (1650 AD) ..... 17.73 - R969 -
Top
92
% match vs all users
Thanks for sharing!
Very interesting, more Italians, showing a relatively stronger affinity specifically for the Latins R437 and R850 in the Iron Age.
Thanks for sharing!
Very interesting, more Italians, showing a relatively stronger affinity specifically for the Latins R437 and R850 in the Iron Age.
https://www.youtube.com/watch?v=QRz8uERFQ2g
https://www.youtube.com/watch?v=QRz8uERFQ2g
https://i.imgur.com/Js7entu.png
Thanks for sharing!
Very interesting, more Italians, showing a relatively stronger affinity specifically for the Latins R437 and R850 in the Iron Age.
Stuvane number 1 is the same as mine, clearly this adriatic sample is aligned to north-italians and maybe even Dalmatians
Mine :)
Neolithic Age
https://mytrueancestry.com/img/NeolithicPattern.jpg
66. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 16.81 - I3499 -
Top
94
% match vs all users
Early Bronze Age
https://mytrueancestry.com/img/ScandiaBronze.jpg
67. Illyrian / Dalmatian (1600 BC) ..... 17.03 - I4331 -
Top
89
% match vs all users
82. Illyrian / Dalmatian (1600 BC) ..... 18.38 - I4332 -
Top
88
% match vs all users
Late Bronze Age
https://mytrueancestry.com/img/GerBronze.jpg
1. Protovillanovia Martinsicuro (930 BC) ..... 5.999 - R1 -
Top
99
% match vs all users
11. Illyrian / Dalmatian (1200 BC) ..... 11.75 - I3313 -
Top
94
% match vs all users
Iron Age
https://mytrueancestry.com/img/ScandiaIron.jpg
33. Scythian Southern Moldova (290 BC) ..... 14.2 - scy300 -
Top
96
% match vs all users
37. Scythian Southern Moldova (270 BC) ..... 14.45 - scy192 -
Top
94
% match vs all users
40. Scythian Southern Moldova (290 BC) ..... 14.65 - scy197b - ?
Top
93
% match vs all users
78. Scythian Southern Moldova (290 BC) ..... 17.94 - scy305 -
Top
92
% match vs all users
81. Latin Tribe Ardea (650 BC) ..... 18.26 - R850 -
Top
94
% match vs all users
96. Latin Prenestini Tribe Inland PS (300 BC) ..... 19.67 - R437 -
Top
92
% match vs all users
Roman Age
https://mytrueancestry.com/img/ItalyEarlyImperial.jpg
7. Late Roman Empire Crypta Balbi (500 AD) ..... 9.626 - R107 -
Top
99
% match vs all users
12. Roman Empire Monterotondo (165 AD) ..... 11.92 - R1540
Top
99
% match vs all users
20. Central Roman San Ercolano (100 AD) ..... 12.76 - R117 -
Top
97
% match vs all users
21. Central Roman Celio Military Hospital (500 AD) ..... 12.92 - R35 -
Top
98
% match vs all users
28. Imperial Rome Empire Via Paisiello (100 AD) ..... 13.74 - R114 -
Top
94
% match vs all users
29. Early Medieval Iberia Granada (500 AD) ..... 13.82 - I3981 -
Top
95
% match vs all users
30. Imperial Rome Marche CN (165 AD) ..... 13.83 - R835 -
Top
97
% match vs all users
35. Central Roman Mausoleo Augusto (500 AD) ..... 14.34 - R32 -
Top
98
% match vs all users
41. Imperial Rome Centocelle (200 AD) ..... 14.74 - R51 -
Top
96
% match vs all users
42. Late Roman Iberia Granada (500 AD) ..... 14.85 - I3582 -
Top
96
% match vs all users
Dark Ages
https://mytrueancestry.com/img/ScandiaVendel.jpg
2. Central Roman (590 AD) ..... 6.512 - SZ43 -
Top
99
% match vs all users
3. Central Roman (590 AD) ..... 7.298 - SZ36 -
Top
99
% match vs all users
6. Central Roman (670 AD) ..... 8.822 - CL36 - ?
Top
99
% match vs all users
8. Byzantine Roman Warrior (605 AD) ..... 9.685 - NS3b - ?
Top
99
% match vs all users
9. Central Roman (670 AD) ..... 10.99 - CL121 -
Top
98
% match vs all users
10. Gallo-Roman (590 AD) ..... 11.36 - SZ28 - ?
Top
97
% match vs all users
15. North Roman Warrior (590 AD) ..... 12.26 - NS3c - ?
Top
97
% match vs all users
18. Medieval Iberian (670 AD) ..... 12.69 - CL23 -
Top
97
% match vs all users
19. Central Roman (590 AD) ..... 12.75 - SZ32 - ?
Top
96
% match vs all users
34. Late Roman Iberia Granada (650 AD) ..... 14.23 - I3575 -
Top
98
% match vs all users
Medieval Age
https://mytrueancestry.com/img/NorsePattern.jpg
5. Tuscan Medieval Villa Magna Italy (905 AD) ..... 8.78 - R60 -
Top
99
% match vs all users
13. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 12.05 - R64 -
Top
99
% match vs all users
14. Medieval Villa Magna Italy (905 AD) ..... 12.06 - R59 -
Top
99
% match vs all users
16. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 12.3 - R1290 -
Top
95
% match vs all users
22. Medieval Italy Abbadia SS Plague (1348 AD) ..... 13.01 - BSS31
Top
98
% match vs all users
23. Iberian Taifa of Valencia (1100 AD) ..... 13.34 - I2515
Top
94
% match vs all users
24. Spaniard Cordoba Caliphate (1050 AD) ..... 13.43 - I12515 -
Top
94
% match vs all users
25. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 13.44 - R57 -
Top
98
% match vs all users
26. Late Medieval Villa Magna Italy (1355 AD) ..... 13.68 - R52 -
Top
99
% match vs all users
27. Iberian Taifa of Valencia (1120 AD) ..... 13.7 - I2514
Top
94
% match vs all users
Early Modern Period
https://mytrueancestry.com/img/GerHansa.jpg
4. Morisco Italo-Iberian Andalusia (1550 AD) ..... 7.644 - I7424 -
Top
99
% match vs all users
17. Tivoli Palace Late Renaissance (1650 AD) ..... 12.36 - R970 -
Top
98
% match vs all users
31. Morisco Convert Andalusia (1550 AD) ..... 13.92 - I7425 -
Top
95
% match vs all users
46. Marseilles Plague Victim (1721 AD) ..... 15.3 - OBS137 - ?
Top
89
% match vs all users
69. Tivoli Palace Late Renaissance (1650 AD) ..... 17.28 - R973 -
Top
93
% match vs all users
74. Tivoli Palace Late Renaissance (1650 AD) ..... 17.73 - R969 -
Top
92
% match vs all users
we basically have very similar samples in most categories
only my BC samples
1. Protovillanovia Martinsicuro (930 BC) ..... 5.076 - R1 -
Top 99% match vs all users
4. Illyrian / Dalmatian (1200 BC) ..... 8.937 - I3313 -
Top 98% match vs all users
7. Scythian Southern Moldova (290 BC) ..... 10.0 - scy197b - ?
Top 98% match vs all users
17. Scythian Southern Moldova (270 BC) ..... 12.35 - scy192 -
Top 97% match vs all users
24. Scythian Southern Moldova (290 BC) ..... 13.52 - scy300 -
Top 97% match vs all users
30. Scythian Southern Moldova (290 BC) ..... 14.25 - scy305 -
Top 96% match vs all users
31. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 14.31 - I3499 -
Top 97% match vs all users
32. Illyrian / Dalmatian (1600 BC) ..... 14.39 - I4332 -
Top 94% match vs all users
37. Illyrian / Dalmatian (1600 BC) ..... 15.0 - I4331 -
Top 92% match vs all users
40. Scythian Moldova (290 BC) ..... 15.24 - scy311 -
Top 66% match vs all users
Stuvane number 1 is the same as mine, clearly this adriatic sample is aligned to north-italians and maybe even
[email protected], in fact, it's one of those clues that deserves a more detailed examination.
There is certainly a disproportion between the researches that have focused on the North / South genetic cline of the Italians compared to those investigating the West / East cline. I am willing to bet that in that direction there would have been more than interesting results, especially since the Adriatic sea - along it by land or by sailing - was a very important geographical corridor for the population of the Peninsula
Sent from my SM-J730F using Eupedia Forum mobile app (http://r.tapatalk.com/byo?rid=89698)
MTA - Full Detailed Timelinehttps://i.imgur.com/0ovLJ3Y.png
https://i.imgur.com/Iyjn0pV.gif
EASTEUROPID
11-12-19, 02:03
https://uploads.tapatalk-cdn.com/20191211/ba4cd2fad6286aaf4394bb798e848a52.gif
Sent from my iPhone using Tapatalk
Default - 3D PCA Sample Analysis
https://i.imgur.com/XtULHtV.gif
https://i.imgur.com/vh8pXSj.jpg
https://i.imgur.com/nflkNm2.jpg
https://i.imgur.com/tVSG6L6.jpg
... Full Circle
Genographic Project / MTA
https://i.imgur.com/U8IT7jF.jpg
https://i.imgur.com/540mW2U.jpg
https://i.imgur.com/NaXMNFH.jpg
https://i.imgur.com/mD9c0Xk.jpg
https://i.imgur.com/jy9m9nk.jpg
https://i.imgur.com/zZOlIOH.jpg
https://i.imgur.com/yerB2Q7.jpg
https://i.imgur.com/ROOqQlN.jpg
Default - 3D PCA Sample Analysis
https://i.imgur.com/XtULHtV.gif
https://i.imgur.com/vh8pXSj.jpg
https://i.imgur.com/nflkNm2.jpg
https://i.imgur.com/tVSG6L6.jpg
... Full Circle
Genographic Project / MTA
https://i.imgur.com/U8IT7jF.jpg
https://i.imgur.com/540mW2U.jpg
https://i.imgur.com/NaXMNFH.jpg
https://i.imgur.com/mD9c0Xk.jpg
https://i.imgur.com/jy9m9nk.jpg
https://i.imgur.com/zZOlIOH.jpg
https://i.imgur.com/yerB2Q7.jpg
https://i.imgur.com/ROOqQlN.jpg
Thanks Salento.
Most interesting in your data is the demonstration of the convergence of results provided by independent companies. You are an Italian descended from Latins (Romans) and Greeks (Magna Greece). Unquestionable. I believe that critics of the MTA should be aware that the results presented by the company are very consistent. Critics like to focus on mistakes. In fact errors must exist. There are no 100% perfect algorithms.
But we don't forget the hits, which are much more robust. The results of the MTA must be analyzed in the light of our knowledge of our own origin compared with the history of human migrations and occupations over the millennia. We cannot be short-sighted and disregard the correct bias of the results just because one, two or three individuals appear as points outside the curve. Some are scandalized by the centimeters displayed in matches with old samples. And so? It's pure statistics, most likely inspired by GEDmatch's "Q Mathing" (https://www.gedmatch.com/Documents/Qdocs.pdf). Perfectly valid for comparisons with very old and sometimes low quality samples. That's what they got. If anyone knows something better then, let's them introduce it. Science cannot wait for the absolutely perfect tool. The universe is studied through classical physics (Newton), quantum physics (Plank) and relativistic physics (Einstein). Scientists still face the ultimate challenge that is to build a unified field theory (the theory of everything) that describes all interactions in the micro and macrocosmic domains. This does not exist yet, but it does not prevent the universe from being studied and the errors be rectified when found to exist some. Evolution happens through trials and errors and not through inertia.
Cheers :) :good_job::smile:
I have a new bronze-age map marker in south-germany dated as 2385BC but no ID ...........anyone have the sample it represents?
Stuvane number 1 is the same as mine, clearly this adriatic sample is aligned to north-italians and maybe even Dalmatians
Indeed, the R1 Protovillanovan sample has a close affinity to Northern Italians. I recall there was an Albanian that also gets it as his number one (or close to it), back thread.
Initially I had it at number 72, but now R1 doesn't even show up at all. I've noticed Southern Italians have a relatively close affinity to the Latins R437 and R850.
I think it is noteworthy to point out that Stuvane gets 437, and 850, because those samples are the only Latins I've seen Italians (north or south) get thus far.
I wonder if those other "Latin" samples are in fact Etruscans too, which is why they're very similar.
Here's my samples from the Neolthic to the Iron Age:
https://i.imgur.com/Qe1FbWW.png
@Duarte Thanks for your Thoughtful Analysis :) :good_job:
@J
top 10 Late Bronze Age / Iron Age :
https://i.imgur.com/Ks211wt.jpg
https://i.imgur.com/kWY3rQX.jpg
I have a new bronze-age map marker in south-germany dated as 2385BC but no ID ...........anyone have the sample it represents?
Bell Beaker Haunstetten Germany (2385 BC) UNTA58_68Sk1
mtDNA: J1c
Y-DNA: G2a2a1
Etruscans - Gallo Romans - Visigoths
Etruscan (3.586)
Gallo-Roman + Etruscan (3.776)
Visigoth + Etruscan (4.606)
Gallo-Roman (5.687)
Visigoth (6.717)
Modern Populations:
1. Spanish_Cantabria (9.440)
2. Spanish_Cataluna (10.49)
3. Spanish_Castilla_Y_Leon (10.74)
4. Southwest_French (10.94)
5. Spanish_Galicia (11.00)
6. Portuguese (11.22)
7. Spanish_Aragon (12.22)
8. Spanish_Castilla_La_Mancha (12.43)
... it’s on my weird imputed results.
fyi I don’t usually post those results, and if I do, I will say so, ... :)
I have a new bronze-age map marker in south-germany dated as 2385BC but no ID ...........anyone have the sample it represents?
@torzio
https://reich.hms.harvard.edu/sites/reich.hms.harvard.edu/files/inline-files/Mittnik_Science_2019.pdf
https://i.imgur.com/tiwyrMO.jpg
@torzio
https://reich.hms.harvard.edu/sites/reich.hms.harvard.edu/files/inline-files/Mittnik_Science_2019.pdf
https://i.imgur.com/tiwyrMO.jpg
Thanks
He is G2a2a1-L166
part of Lech valley beakers
Split is
Barcin 56.6
Yamnaya 35.4
WHG 8.1
Nothing else.......found with 3 other samples of which 2 are R1b
https://i.postimg.cc/wxZ9Yrn6/bronze-december.png
(https://postimages.org/)https://i.postimg.cc/Qx7h8brc/late-broine-december.png
what is 1563BC now.......?????
(https://postimages.org/)
https://www.nature.com/articles/d41586-019-03046-w?fbclid=IwAR3W23gjFWY6RofxkDF6EydG8IlCVgqISWSCbbs 42R0sXZPsxKD1JHyXm0w
Today they will introduce these samples.
Pax Augusta
13-12-19, 16:24
I wonder if those other "Latin" samples are in fact Etruscans too, which is why they're very similar.
What does it mean? What other "Latin" samples?
They are similar because Etruscans and Latins, as already claimed by archeology, descended by similar prehistoric and protohistoric cultures.
In fact, all the archaeologists (who have a knowledge of etruscology) I have talked to, or who have talked to my friends, have all made the same comment on this study: these results are not at all a surprise.
Thanks
He is G2a2a1-L166
part of Lech valley beakers
Split is
Barcin 56.6
Yamnaya 35.4
WHG 8.1
Nothing else.......found with 3 other samples of which 2 are R1b
https://i.postimg.cc/wxZ9Yrn6/bronze-december.png
(https://postimages.org/)https://i.postimg.cc/Qx7h8brc/late-broine-december.png
what is 1563BC now.......?????
(https://postimages.org/)
@torzio
https://i.imgur.com/5jp1mof.jpg
https://i.imgur.com/d7pQBy2.jpg
https://i.imgur.com/7vFT1ki.jpg
https://i.imgur.com/1ztr1XD.jpg
What does it mean? What other "Latin" samples?
They are similar because Etruscans and Latins, as already claimed by archeology, descended by similar prehistoric and protohistoric cultures.
In fact, all the archaeologists (who have a knowledge of etruscology) I have talked to, or who have talked to my friends, have all made the same comment on this study: these results are not at all a surprise.
My comment is based on my observation that I have only seen Italians get the Latin samples R850 and R437, on this calculator.
What do you (they) think about those samples?
What does it mean? What other "Latin" samples?
They are similar because Etruscans and Latins, as already claimed by archeology, descended by similar prehistoric and protohistoric cultures.
In fact, all the archaeologists (who have a knowledge of etruscology) I have talked to, or who have talked to my friends, have all made the same comment on this study: these results are not at all a surprise.
imho They were very different in Costumi e Cultura.
The language between the two is also very different, so much so, that to this day, no one has been able to translate l’Etrusco.
https://1.bp.blogspot.com/-Y3ptznBHaUc/XfPAQCgm_XI/AAAAAAAABsY/KpVQZKJdVw0M0SfTr4etiYljScjGjEeBwCLcBGAsYHQ/s640/NORTaLPINE1789.JPEG
https://1.bp.blogspot.com/-9QOK3p8KwwM/XfPAUEMrwzI/AAAAAAAABsc/cT2XTC2twZw56A4lVxRuj61GwDjlRuUfwCLcBGAsYHQ/s640/northAlpine1663%252Cjpeg.jpg
https://1.bp.blogspot.com/-L8SlXD0X2WQ/XfPAY0ohHLI/AAAAAAAABsg/PYWWv2mlIJ0Bj0YNfE2ABVSdMb0AhKmNQCLcBGAsYHQ/s640/northAlpine1677.jpeg
https://1.bp.blogspot.com/-fMgm9lrK3Rk/XfPAet6s3XI/AAAAAAAABso/j2dhPCAx5_ARS2JYRG7dQsbZoSKQD8dQACLcBGAsYHQ/s640/NORTHalpine1788.JPEG
https://1.bp.blogspot.com/-Q9EGsDvBfh0/XfPAjCbOLKI/AAAAAAAABsw/qKDHsDuANSk0O2l6s5u8ORpzdsuiYmntwCLcBGAsYHQ/s640/NORTHalpine1815.JPEG
https://1.bp.blogspot.com/-mm_aSN_btmI/XfPApMz2KrI/AAAAAAAABs4/t27Es5uaSUs8BSUVsCRk8bzG51OathdqwCLcBGAsYHQ/s640/nORTHalpineBRONZEAGE1797.JPEG
https://1.bp.blogspot.com/-hral1RQz6hs/XfPArSenriI/AAAAAAAABtA/5I5HhpeN4g8eFEw3Vsf8mtFvc331r0gTACLcBGAsYHQ/s640/NORTHaLPINEsegmento.jpeg
https://1.bp.blogspot.com/-wmxc5sr-Cbc/XfO_17XMO9I/AAAAAAAABsQ/GYvdu3BR_k8iSbX5KfuAHNkhkTA6QTspACEwYBhgL/s640/HighStatus2059.JPEG
https://1.bp.blogspot.com/-luY01Ool3pM/XfDurSc2k4I/AAAAAAAABqc/3OhKKuYZimYLmPYshGQt7ix6N77G5ZgxACLcBGAsYHQ/s640/SegmentosAlpesAITI_43.JPEG
https://1.bp.blogspot.com/-LxofgPeYaks/XfDuxCQbcaI/AAAAAAAABqg/HQq9ZVfKUNs0-EPM28mK0a5Jj6PZAS_7QCLcBGAsYHQ/s640/SegmentosAlpesAITI_98.JPEG
https://1.bp.blogspot.com/-mFuCfRnDqdM/XfDu2xWWQKI/AAAAAAAABqk/7GWTfHC9wd0ldnx3mnDkACaGRXVEmUQZwCLcBGAsYHQ/s640/SegmentosALPESpost_44.JPEG
https://1.bp.blogspot.com/-U3ELHd5OBZ4/XfDu8-Le9RI/AAAAAAAABqs/dGKbqbrzdDwsZ1w30jAl1iLNtzJxdv8_QCLcBGAsYHQ/s640/SegmentosAlpesPost_50.JPEG
https://1.bp.blogspot.com/-adEMXF1MEpM/XfDvBKrjsUI/AAAAAAAABqw/1SOs-qbovnYFNn3Er3_2MebRZydmSP7TwCLcBGAsYHQ/s640/SegmentosAlpineAITI_120.JPEG
https://1.bp.blogspot.com/-8s9trE9S9rs/XfO_VG3ARPI/AAAAAAAABrM/z0FegTOt1-M0ZqmhAo7CNyBEwANtwJq_gCLcBGAsYHQ/s640/1525NorthAlpine.jpeg
https://1.bp.blogspot.com/-ZmpZyUjbYoM/XfO_YdJsKXI/AAAAAAAABrQ/f-qYkV99dyUy1rVAiaU1FwZROP85D6IoACLcBGAsYHQ/s640/1790NorthALPINE.JPEG
https://1.bp.blogspot.com/-fgaAyxO04XY/XfO_dKIf6-I/AAAAAAAABrY/_apB0eW49bINkkWYBzIWOcbIVwNe_Dp1ACLcBGAsYHQ/s640/1792Northalpine.jpeg
https://1.bp.blogspot.com/-1zrON7TKgtQ/XfO_iot70XI/AAAAAAAABrc/B_FlvvuhquEa6lny8W5L-z_EM2wRR7hzACLcBGAsYHQ/s640/bellbeaker1873bc.JPEG
https://1.bp.blogspot.com/-dxjGK3Bm6bM/XfO_lbferiI/AAAAAAAABrg/p7aFa--cjVYluPwgCI9s39XyuWSypqKGACLcBGAsYHQ/s640/BELLbeaker2273BC.JPEG
https://1.bp.blogspot.com/-JsRbii2pZ4g/XfO_q4PBAYI/AAAAAAAABrs/xHvr8iOEfCwcqGYJKY0iY6zT5lDnBncaACLcBGAsYHQ/s640/BRONZEage1966bc.jpeg
https://1.bp.blogspot.com/-WrZuMfT-omE/XfO_tcMHkPI/AAAAAAAABrw/bzGIuhQfhYgRn_0U6HhBvJI9n_ShQnEHQCLcBGAsYHQ/s640/GERMANYbellBEAKER.jpg
https://1.bp.blogspot.com/-Jw9W6iX96zE/XfO_zdAKtoI/AAAAAAAABr4/Qm-W572ilRQJC9OOvO4js_VmTjUohLCHwCLcBGAsYHQ/s640/HighSTATUmounHaunstetten.JPEG
https://1.bp.blogspot.com/-rkZ5VuNsmV4/XfQ7DQ0c2MI/AAAAAAAABtU/GL4-5sHkxzg_9L6vif7T9xDEz0jrjMG8ACLcBGAsYHQ/s640/bronzeageKONINGSBRUNNgERMANY.JPEG
I think I refreshed and got one more. I had heard that The Alps were mountains somewhere in Europe, but I didn't know that there had been life there due to the low temperatures, It must be very cold.
https://www.youtube.com/watch?v=ZBgwxnn45Ho
Jovialis, I've got that R437 and I'm not italian:
83. Latin Prenestini Tribe Inland PS (300 BC) ..... 17.26 - R437 -
Top
94% match vs all users
What do you think about it?
Cultures:
R1 Protovillanovan
https://i.imgur.com/kbXNDft.jpg
R437 R850 Latin
https://i.imgur.com/3VJdGKB.jpg
https://i.imgur.com/ipiFt3W.jpg
Yep, I also have some ancient germanics in my life. :smile:
Your Archaeogenetic Map of Germania - GIF
https://i.imgur.com/7mq9pUN.gif
https://i.imgur.com/b9KqwzK.png
https://i.imgur.com/B9eX2Mc.png
https://i.imgur.com/T1jnTZt.png
i do not know what to make of these timelines anymore.....are they legit
mine below
https://i.postimg.cc/J7ZhrZxF/tline-dec.png
what am I ...a celt, that crossed the alps and married an illyrian !!!!!
I MUST BE A
https://en.wikipedia.org/wiki/Scordisci (https://postimages.org/)
R1548 Roman, R1290 Medieval Italy, R114 Roman, SZ36 / SZ40 Post-Roman, R30 (Central Roman Mausoleo Augusto) Roman ... :grin:
https://i.imgur.com/646sCvH.jpg
https://i.imgur.com/K8qFljd.jpg
https://i.imgur.com/CSzL12N.jpg
https://i.imgur.com/IMUsW6V.jpg
https://i.imgur.com/li514Do.jpg
https://i.imgur.com/4oBmrNl.jpg
Pax Augusta
14-12-19, 03:28
My comment is based on my observation that I have only seen Italians get the Latin samples R850 and R437, on this calculator.
What do you (they) think about those samples?
Frankly, I wouldn't use MTA to draw any conclusions or make any assumptions.
imho They were very different in Costumi e Cultura.
The language between the two is also very different, so much so, that to this day, no one has been able to translate l’Etrusco.
They had obviously different culture but this is more evident later, after the ethnogenesis of both, it's hard to explain. But there are also some differences between Latins and other Italics.
The Etruscan language has been translated, it's difficult to make progress in the knowledge of the Etruscan language because of the type of inscriptions that have survived, which are very repetitive and short and do not allow great improvements. Besides, the literary texts in the Etruscan language didn't survive.
Archaic Latin is also very little attested, even less attested than the Etruscan language. Much of what we know about Latin comes from texts from the IV century BC onwards.
i do not know what to make of these timelines anymore.....are they legit
mine below
https://i.postimg.cc/J7ZhrZxF/tline-dec.png
what am I ...a celt, that crossed the alps and married an illyrian !!!!!
I MUST BE A
(https://postimages.org/)https://en.wikipedia.org/wiki/Scordisci
Well, torzio, who knows. You’re a Celt that crossed the Alps, kidnapped an Illyrian girl and goes to North Italy. On the other hand I am a Celt that crossed the Alps, kidnapped an Illyrian girl and goes to Iberia. Lol. Hugs. :)
It is not a PCA of mine but I would like to know what this PCA suggests? Is it possible, is it credible, is it real, is it imputed?
https://1.bp.blogspot.com/-19HX09asts0/XfRJVHoZKNI/AAAAAAAABtg/RcXH-4JHvYwVpM32QudsfBDuga225YVLwCLcBGAsYHQ/s640/pcaESTRA%25C3%2591A.JPEG
It is not a PCA of mine but I would like to know what this PCA suggests? Is it possible, is it credible, is it real, is it imputed?
https://1.bp.blogspot.com/-19HX09asts0/XfRJVHoZKNI/AAAAAAAABtg/RcXH-4JHvYwVpM32QudsfBDuga225YVLwCLcBGAsYHQ/s640/pcaESTRA%25C3%2591A.JPEG
Hispanic / Latin-American!
(they’re not a race)
or @Duarte’s cousin :grin: ... a mixed great grandchild of ODESSA ?
... from Argentina, Brazil, ... could be :)
https://en.m.wikipedia.org/wiki/ODESSA
fyi ... Hispanic and Latino are often used interchangeably though they actually mean two different things. Hispanic refers to people who speak Spanish and/or are descended from Spanish-speaking populations, while Latino refers to people who are from or descended from people from Latin America ...
Hispanic / Latin-American!
(they’re not a race)
or @Duarte’s cousin :grin: ... a mixed great grandchild of ODESSA ?
... from Argentina, Brazil, ... could be :)
https://en.m.wikipedia.org/wiki/ODESSA
fyi ... Hispanic and Latino are often used interchangeably though they actually mean two different things. Hispanic refers to people who speak Spanish and/or are descended from Spanish-speaking populations, while Latino refers to people who are from or descended from people from Latin America ...
Yes, I agree with Salento. I think that the owner of this charming PCA is a Latin American cousin. :smile:
I prefer do not have a cousin, mixed great grandchild of ODESSA. But in a mixed Brazil, everything is possible. :thinking:
In fact I know some Nazis came to Brazil. Josef Mengele, the doctor and monster from Auschwitz, known as the Angel of Death was one of them. Came to Brazil in 1961 and, with the help of Nazi sympathizers, rececived the name of Peter Hochbichler, an alleged Austrian immigrant. With the help of Nazi sympathetic immigrants he was hired by the Hungarian couple Geza and Gitta Stammer to run their coffee farm. Mengele had no qualms and Geza found out that Mengele and his wife had an affair. That was when the most wanted war criminal of all time was forced to relocate. From then on, he roamed several cities in São Paulo State. He lived in Brazil until February 7, 1979, when he drowned on the paradise beach of Bertioga, coast of the State of São Paulo. It was wanted alive or dead and the reward was $ 3.4 million. His son Rolf Jenckel, now a lawyer in Munich, Germany, has never requested his father's body and his skeleton has been used since 2016 as teaching material in forensic medicine classes at the University of São Paulo - USP. :petrified:
Jovialis, I've got that R437 and I'm not italian:
83. Latin Prenestini Tribe Inland PS (300 BC) ..... 17.26 - R437 -
Top
94% match vs all users
What do you think about it?
I don't know, but I do know I have a relatively close similarity to Southern Albanians. Perhaps that may have something to do with it.
Frankly, I wouldn't use MTA to draw any conclusions or make any assumptions.
They had obviously different culture but this is more evident later, after the ethnogenesis of both, it's hard to explain. But there are also some differences between Latins and other Italics.
The Etruscan language has been translated, it's difficult to make progress in the knowledge of the Etruscan language because of the type of inscriptions that have survived, which are very repetitive and short and do not allow great improvements. Besides, the literary texts in the Etruscan language didn't survive.
Archaic Latin is also very little attested, even less attested than the Etruscan language. Much of what we know about Latin comes from texts from the IV century BC onwards.
But what is your (their) take on those samples though? Even without MTA, I would assume I have a close affinity to R850 and R437, they plot close to southern Italians. Plus, the study models them consistent to what we assume about bronze-age/ iron age southern Italy. (High in Anatolian_N+CHG/IN)
But what is your (their) take on those samples though? Even without MTA I would assumed I would have a close affinity to R850 and R437, they plot close to southern Italians. Plus, the study models them consistent to what we assume about bronze-age/ iron age southern Italy. (High in Anatolian_N+CHG/IN)
Yes R850 has 48% of Anatolian north or as some say Barcin
but this is what one reports says
As a conclusion, individual R850 carries ancestry equal to and very similar to "Copper Age Anatolia", "Greece_Mycenaean", "Anatolia_MLBA" and "Anatolia_IA.SG". So individual R850 has a contitunity of ancestry from Copper Age until the Iron Age of Anatolia and is is very close to Mycenaean from the Aegean. This pattern is not seen in the preceding and other individuals. The study mentions that individual R850 carries more ancestry from the incoming source, showing that he is an Early Iron Age migrant from Anatolian / Aegean region and fits an ancestry pattern of the thesis of "minority migrant elite Etruscans". This pattern is clearly indicating the migration mentioned in the ancient sources made by the Pelasgian population. The Rutuli is also clearly an Etruscan elite group located in the Ardean city (in a region in which the Latins are majority), and probably related to the ancestry of early Iron Age Etruscan kings in Rome (whom became Latinized in the subsequent periods).
The Etruscan female individual R475 carries ~53% ancestry from Late Neolithic Moroccan. Late Neolithic Moroccan ancestry is most likely related to the 3000 BCE, the Neolithic site of Kelif el Boroud (Fregel et al 2018). The individual with id "KEB" belonged to Y-haplogroup T-CTS2214 living on the Atlantic coast. So, although individual R475 is an Etruscan female, the ancestry can also be related to the timeline of Y-haplogroup T . The Late Neolithic site of Kelif el Boroud is also probably related to the Eneolithic / Chalcolithic geographical migration of a population mentioned in the Harney et al 2018 study, the Late Chalcolithic Peqi'in people from the Levant with Y-haplogroup T were hypothesized to come from the earlier Neolithic Northern Anatolian region with specific ancestry from "Anatolia_N" and "Iran_Chl" (this is not seen in the preceding and subsequent Levantine populations). These T people left the Levant through Anatolia and eventually to Iberia, crossing the sea to Morocco. There is no T-CTS2214 in North Africa except in Morocco with the KEB sample. The "Anatolia_N" ancestry among the Peqi'in people is unique.
Although there is no direct historical or genetic information about the origins of Rome, archaeological evidence suggests that in the early Iron Age, it was a small city-state, among many culturally and politically similar Etruscan and Latin neighbors (24–26). Their contact with Greek and Phoenician-Punic colonies is evident in the incorporation of materials not available locally, such as ivory, amber, and ostrich eggshell, and design motifs such as lions, sphinxes, and palmettes, into Etruscan art and culture (3, 6).
The Iron Age individuals exhibit highly variable ancestries, hinting at multiple sources of migration into the region during this period (Figs. 2A and 3B). Although we were able to model eight of the 11 individuals as two-way mixtures of Copper Age central Italians and a Steppe-related population (~24 to 38%) using qpAdm, this model was rejected for the other three individuals (p < 0.001; table S16). Instead, two individuals from Latin sites (R437 and R850) can be modeled as a mixture between local people and an ancient Near Eastern population (best approximated by Bronze Age Armenian or Iron Age Anatolian; tables S17 and S18). An Etruscan individual (R475) carries significant African ancestry identified by f-statistics (|Z-score|>3; fig. S23) and can be modeled with ~53% ancestry from Late Neolithic Moroccan (table S19). Together these results suggest substantial genetic heterogeneity within the Etruscan (n = 3 individuals) and Latin (n = 6) groups. However, using f-statistics, we did not find significant genetic differentiation between the Etruscans and Latins in allele sharing with any preceding or contemporaneous population (|Z-score|<2), although the power to detect subtle genetic differentiation is limited by the small sample size.
An excerpt from the study.
4 of the 6 Latins were similar to Etruscans.
It is a small sample size, so one could look at those 2 "outliers" as accounting for 1/3rd or 33% of the Latin samples.
I think that's significant.
@jovialis: Yes maybe, we can only see if other albanians share.
Deep Dive:
https://i.imgur.com/u29HvsP.gif
Deep Dive:
https://i.imgur.com/u29HvsP.gif
Cool Salento. :good_job::smile:
Pax Augusta
16-12-19, 20:50
But what is your (their) take on those samples though? Even without MTA, I would assume I have a close affinity to R850 and R437, they plot close to southern Italians. Plus, the study models them consistent to what we assume about bronze-age/ iron age southern Italy. (High in Anatolian_N+CHG/IN)
I don't think the MTA is an accurate tool so I don't have any take.
To draw further conclusions we need more samples, and of course also those from southern Italy between Bronze and Iron Age.
It only takes patience, it is useless to spend time now formulating hypotheses without further information. In my opinion.
These Ancient samples found in Italy are a close enough match to the Italians.
I don't see where the problem is.
... 23andme (old v4):
Top 40
https://i.imgur.com/DE9FBEQ.jpg
Deep Dive (cM)
https://i.imgur.com/5ksH8bG.jpg
https://1.bp.blogspot.com/-DyUwzvTc92M/XfmWvLJJAoI/AAAAAAAABts/gi4Wk5Z-rYEZX7Wg8kk9JFZV_PvVvbhhACLcBGAsYHQ/s640/PCAsimpaticona2kits.JPEG
Me and the other
PCA 2 kits
I was able to convert the BAM file of R850 into AncestryDNA format. I tried to upload it to Gedmatch, but it didn't work, but it does on MTA. I'm waiting on the results from the All format file.
Interesting results, it is almost all blue for the Deep dive, but it get's itself as number 17 at 13.22 distance. Keep in mind, this is in Ancestry format:
https://i.imgur.com/S8cR0tU.png
https://i.imgur.com/kjnKCIh.png
https://i.imgur.com/FxMBbll.png
https://i.imgur.com/sj0zFli.png
Cultures:
R1 Protovillanovan
https://i.imgur.com/kbXNDft.jpg
R437 R850 Latin
https://i.imgur.com/3VJdGKB.jpg
https://i.imgur.com/ipiFt3W.jpg
Nin town and area are Liburnian people
https://www.dalmatia-heritage.com/post/liburnian-settlements-aenona
They have loaded samples of the Kingdom of Tartessos. Oh my good !!!
@Jovialis ... got the same error at GedMatch, good at yourdnaportal.
.Bam to Combined
R437 Latin Prenestini Tribe Inland PS 300 BC
https://i.imgur.com/O73znz5.png
https://i.imgur.com/yRjazkQ.jpg
https://i.imgur.com/2eOl3MR.png
https://i.imgur.com/RdtpFRG.png
https://i.imgur.com/s6Qd3MZ.png
Q-Matching 1-to-1 with R1
(Comb. R1 Kit # on Pic)
Total cM: 124.28
Largest segment cM 4.09
Total segments 95
https://i.imgur.com/4B3u1kt.gif
R1 is a Woman, and according to the data results, her parents are NOT related ... Interesting ...
Largest segment = 0.0 cM
Total of segments > 7 cM = 0.0 cM
No shared DNA segments found
No indication that your parents are related.
R1 is a Woman, and according to the data results, her parents are NOT related ... Interesting ...
Largest segment = 0.0 cM
Total of segments > 7 cM = 0.0 cM
No shared DNA segments found
No indication that your parents are related.
Not related , what you mean..
I thought she was born in Liburnia and migrated to Picene lands with one parent....a serf/slave of the house
Not related , what you mean..
I thought she was born in Liburnia and migrated to Picene lands with one parent....a serf/slave of the house
is she part of Your Childhood memories? :grin: LOL
I mean that her parents are not closely related. IE not cousins!
(or maybe, one of them is not a Local)
... R1 Top 10 by Era:
https://i.imgur.com/4bn3ZvU.gif
https://i.imgur.com/ETVlszd.gif
Neolithic Age
https://mytrueancestry.com/img/NeolithicPattern.jpg
32. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 14.31 - I3499 -
Top 98% match vs all users
Early Bronze Age
https://mytrueancestry.com/img/ScandiaBronze.jpg
33. Illyrian / Dalmatian (1600 BC) ..... 14.39 - I4332 -
Top 95% match vs all users
38. Illyrian / Dalmatian (1600 BC) ..... 15.0 - I4331 -
Top 93% match vs all users
93. [Hidden] - upgrade to Zeus ..... 19.25 - OTTM_151ind2 - = Celtic Bavarian woman, mtdna X2b
Top 94% match vs all users
Late Bronze Age
https://mytrueancestry.com/img/GerBronze.jpg
1. Protovillanovia Martinsicuro (930 BC) ..... 5.076 - R1 -
Top 99% match vs all users
4. Illyrian / Dalmatian (1200 BC) ..... 8.937 - I3313 -
Top 98% match vs all users
52. Thraco-Cimmerian Black Sea (900 BC) ..... 15.89 - MJ12 -
Top 97% match vs all users
Iron Age
https://mytrueancestry.com/img/ScandiaIron.jpg
7. Scythian Southern Moldova (290 BC) ..... 10.0 - scy197b - ?
Top 98% match vs all users
17. Scythian Southern Moldova (270 BC) ..... 12.35 - scy192 -
Top 97% match vs all users
24. Scythian Southern Moldova (290 BC) ..... 13.52 - scy300 -
Top 98% match vs all users
31. Scythian Southern Moldova (290 BC) ..... 14.25 - scy305 -
Top 96% match vs all users
41. Scythian Moldova (290 BC) ..... 15.24 - scy311 -
Top 62% match vs all users
65. [Hidden] - upgrade to Zeus ..... 16.7 - DA195 - found in Hungaria woman, mtdna H
Top 92% match vs all users
84. [Hidden] - upgrade to Zeus ..... 18.58 - DA198 - found in Hungaria, G-PF3378, mtdna H7a1
Top 94% match vs all users
94. [Hidden] - upgrade to Zeus ..... 19.26 - scy304 - found in Moldova R1b-Z2103
Top 95% match vs all users
@Torzio R1 top 100:
https://i.imgur.com/GAlNMn8.gif
@Torzio R1 top 100:
https://i.imgur.com/GAlNMn8.gif
yourself, myself and Stuvane all have R1 as the top .................My R1 went from 4 's to 5 ......and other sample took some admixture points via ancient hungaria
yourself, myself and Stuvane all have R1 as the top .................My R1 went from 4 's to 5 ......and other sample took some admixture points via ancient hungaria
not me, not my results!
... those are all the real R1 sample results.
I loaded on MTA the R1 raw-data that Jovialis posted.
I wrote R1 at the top, ...
These are my results:
https://i.imgur.com/tVSG6L6.jpg
https://i.imgur.com/yerB2Q7.jpg
https://i.imgur.com/vh8pXSj.jpg
https://i.imgur.com/nflkNm2.jpg
https://i.imgur.com/PioarOM.jpg
https://i.imgur.com/Pu3DO8j.jpg
https://i.imgur.com/MKlk7kR.jpg
https://i.imgur.com/FrYuqmR.jpg
https://i.imgur.com/kVUyblv.jpg
https://i.imgur.com/v3m67es.jpg
https://i.imgur.com/CrG12OB.jpg
https://i.imgur.com/xnrWogc.jpg
lol what the heck?
https://i.imgur.com/GRKmWkX.jpg
@Torzio R1 top 100:
https://i.imgur.com/GAlNMn8.gif
R1 and I get the same top matches, but I'm closer or the same. Well, except to R1, of course. :)
R1/Me
R1: 4.134-6.241
SZ43: 6.232-3.614
SZ36: 6.714-4.508
CL36: 6.768-6.778
Did you run her for closeness to modern populations?
R1 and I get the same top matches, but I'm closer or the same. Well, except to R1, of course. :)
R1/Me
R1: 4.134-6.241
SZ43: 6.232-3.614
SZ36: 6.714-4.508
CL36: 6.768-6.778
Did you run her for closeness to modern populations?
... GedMatch EUtest V2 K15
Kit Num: AG4512653)
R1 Oracle
Single Population Sharing:
1 North_Italian 6.14
2 Tuscan 6.17
3 Italian_Abruzzo 10.89
4 West_Sicilian 11.02
5 Greek 11.31
6 Spanish_Andalucia 11.34
7 Spanish_Extremadura 11.51
8 Spanish_Murcia 11.59
9 Bulgarian 11.87
10 Portuguese 12.23
Mixed mode
1 59.7% Italian_Abruzzo + 40.3% Southwest_French @2.77
... GedMatch EUtest V2 K15
Kit Num: AG4512653)
R1 Oracle
Single Population Sharing:
1 North_Italian 6.14
2 Tuscan 6.17
3 Italian_Abruzzo 10.89
4 West_Sicilian 11.02
5 Greek 11.31
6 Spanish_Andalucia 11.34
7 Spanish_Extremadura 11.51
8 Spanish_Murcia 11.59
9 Bulgarian 11.87
10 Portuguese 12.23
Mixed mode
1 59.7% Italian_Abruzzo + 40.3% Southwest_French @2.77
dodecad
Kit AG4512653
Admix Results (sorted):
#
Population
Percent
1
Atlantic_Baltic
53.32
2
Southern
26.58
3
West_Asian
17.95
4
Siberian
1.34
5
African
0.81
Single Population Sharing:
#
Population (source)
Distance
1
N_Italian (Dodecad)
3.88
2
O_Italian (Dodecad)
5
3
Bulgarians (Yunusbayev)
5.16
4
Bulgarian (Dodecad)
5.66
5
North_Italian (HGDP)
5.67
6
Romanians (Behar)
5.76
7
Tuscan (HGDP)
7.15
8
TSI30 (Metspalu)
7.29
9
Baleares (1000Genomes)
and myself below
#
Population
Percent
1
Atlantic_Baltic
55.64
2
Southern
26.19
3
West_Asian
17.43
4
South_Asian
0.52
5
African
0.21
Single Population Sharing:
#
Population (source)
Distance
1
N_Italian (Dodecad)
2.53
2
North_Italian (HGDP)
4.96
3
Bulgarians (Yunusbayev)
5.33
4
Romanians (Behar)
5.54
5
Bulgarian (Dodecad)
6.18
6
O_Italian (Dodecad)
6.83
7
TSI30 (Metspalu)
8.82
8
Tuscan (HGDP)
8.83
9
Baleares (1000Genomes)
9.69
my k13
Admix Results (sorted):
#
Population
Percent
1
North_Atlantic
29.84
2
West_Med
22.93
3
East_Med
17.25
4
Baltic
17.03
5
West_Asian
8.43
6
Red_Sea
2.31
7
South_Asian
0.93
8
East_Asian
0.67
9
Sub-Saharan
0.34
10
Oceanian
0.26
Single Population Sharing:
#
Population (source)
Distance
1
North_Italian
5.98
2
Tuscan
9.42
3
Romanian
10.1
4
Bulgarian
11.17
and R1 below
K13 Oracle ref data revised 21 Nov 2013
Kit AG4512653
Admix Results (sorted):
#
Population
Percent
1
North_Atlantic
28.96
2
West_Med
21.67
3
East_Med
19.76
4
Baltic
13.59
5
West_Asian
9.75
6
Red_Sea
3.53
7
Siberian
1.33
8
Amerindian
0.95
9
Oceanian
0.45
Single Population Sharing:
#
Population (source)
Distance
1
North_Italian
5.57
2
Tuscan
6.06
3
Greek_Thessaly
10.44
4
Italian_Abruzzo
11.07
5
Romanian
11.51
6
West_Sicilian
11.88
7
Bulgarian
11.98
Mixed Mode Population Sharing: note, no North-italian is noted in the mixed mode, Tuscan is north-italian + Tuscan
#
Primary Population (source)
Secondary Population (source)
Distance
1
51.6%
Central_Greek
+
48.4%
French
@
2
2
78.2%
Tuscan
+
21.8%
Austrian
@
2.34
3
80.2%
Tuscan
+
19.8%
East_German
@
2.4
4
85.3%
Tuscan
+
14.7%
North_Swedish
@
2.43
5
50.4%
East_Sicilian
+
49.6%
French
@
2.51
6
78.4%
Tuscan
+
21.6%
Hungarian
@
2.53
@Salento,
Interestingly, the only Latin that R1 has a connection to is R437.
Though perhaps to more after 100.
@Salento,
Interestingly, the only Latin that R1 has a connection to is R437.
Though perhaps to more after 100.
I only get 100 samples (normal Zeus) for now :)
Buon Natale a Tutti
🎄
1. Visigoth Iberian Girona (550 AD) ..... 8.765 - I12034 -
Top
99% match vs all users
2. Roman Soldier Germany (300 AD) ..... 9.032 - FN_2
Top
99% match vs all users
3. Roman Soldier Freiham-Nord Germany (300 AD) ..... 9.04 - FN_2
Top
99% match vs all users
4. Iberian / Piedmont (580 AD) ..... 9.106 - CL94 -
Top
98% match vs all users
5. Gallo-Roman Celt Mix Iberia (80 AD) ..... 9.529 - I10866 -
Top
99% match vs all users
6. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 10.09 - I3499 -
Top
99% match vs all users
7. Etruscan Civitavecchia (650 BC) ..... 10.31 - R474 -
Top
99% match vs all users
8. Bell Beaker Haunstetten Germany (2385 BC) ..... 10.35 - UNTA58_68Sk1 -
Top
99% match vs all users
9. Illyrian / Dalmatian (1200 BC) ..... 10.75 - I3313 -
Top
96% match vs all users
10. Gallo-Roman Crypta Balbi (500 AD) ..... 11.21 - R109 -
Top
99% match vs all users
11. Medieval Iberian (580 AD) ..... 11.31 - CL23 -
Top
98% match vs all users
12. High Status Male Haunstetten (2059 BC) ..... 11.38 - POST_44 -
Top
99% match vs all users
13. Late Roman Mix Crypta Balbi (500 AD) ..... 11.46 - R105 -
Top
98% match vs all users
14. Le Mans Revolutionary France (1793 AD) ..... 11.51 - LM_406_T -
Top
98% match vs all users
15. Vasconic-Roman Mix Crypta Balbi (500 AD) ..... 11.54 - R110 -
Top
99% match vs all users
16. Medieval Villa Magna Italy (990 AD) ..... 11.72 - R63 -
Top
99% match vs all users
17. Gallo-Roman Mix Crypta Balbi (500 AD) ..... 11.78 - R108 -
Top
96% match vs all users
18. Late Medieval Cancelleria Basilica (1485 AD) ..... 11.94 - R1221 -
Top
96% match vs all users
19. Bronze Age Spain Cogotas (1290 BC) ..... 12.13 - I12209 -
Top
99% match vs all users
20. Ilergetes Tribe Catalan (600 BC) ..... 12.19 - I4556 -
Top
99% match vs all users
21. North Alpine Bronze Age (1677 BC) ..... 12.2 - AITI_98 -
Top
99% match vs all users
22. Imperial Rome Mausoleo Augusto (500 AD) ..... 12.56 - R33 -
Top
96% match vs all users
23. Iron Age Catalan (620 BC) ..... 12.63 - I12640 -
Top
99% match vs all users
24. Ilergetes Tribe Catalan (440 BC) ..... 12.75 - I12878 -
Top
99% match vs all users
25. North Alpine Bronze Age (1794 BC) ..... 12.9 - AITI_43 -
Top
98% match vs all users
26. Ilergetes Tribe Catalan (200 BC) ..... 13.39 - I3320 -
Top
99% match vs all users
27. Scythian Southern Moldova (290 BC) ..... 13.4 - scy300 -
Top
98% match vs all users
28. Frankish-Gaul / Lombardy Italy (580 AD) ..... 13.4 - CL47b
Top
72% match vs all users
29. Medieval Piedmont (580 AD) ..... 13.45 - CL57 -
Top
90% match vs all users
30. Celtiberian Alemannic Mix (520 AD) ..... 13.46 - STR_535 -
Top
99% match vs all users
31. Early Medieval Andalusia (760 AD) ..... 13.46 - I3585 -
Top
96% match vs all users
32. Celtiberian Mix Tribe Northern Spain (2300 BC) ..... 13.49 - I3238 -
Top
99% match vs all users
33. Roman-Carthago Mix Iberia (80 AD) ..... 13.63 - I8475 -
Top
98% match vs all users
34. Etruscan Civitavecchia (650 BC) ..... 13.64 - R473 -
Top
98% match vs all users
35. Latin Tribe Inland BE (650 BC) ..... 13.81 - R1021 -
Top
99% match vs all users
36. Late Medieval Cancelleria Basilica (1429 AD) ..... 13.84 - R1289 -
Top
99% match vs all users
37. Celtoiberian Outlier Roman Empire VP (100 AD) ..... 13.88 - R116 -
Top
98% match vs all users
38. Western Scythian Outlier Hungary (550 BC) ..... 13.89 - DA198 -
Top
97% match vs all users
39. Gallo-Roman (590 AD) ..... 13.94 - SZ28 - ?
Top
94% match vs all users
40. Illyrian / Dalmatian (1600 BC) ..... 14.01 - I4331 -
Top
94% match vs all users
41. Late Medieval Villa Magna Italy (1355 AD) ..... 14.06 - R55 -
Top
93% match vs all users
42. Vascones Tribe (460 BC) ..... 14.14 - I12879 -
Top
99% match vs all users
43. Illyrian / Dalmatian (1600 BC) ..... 14.25 - I4332 -
Top
95% match vs all users
44. Bronze Age Spain Cogotas (1290 BC) ..... 14.25 - I12208 -
Top
99% match vs all users
45. Boscombe Bowmen Amesbury (2300 BC) ..... 14.27 - I2416-BB -
Top
99% match vs all users
46. Scythian Southern Moldova (290 BC) ..... 14.28 - scy197b - ?
Top
94% match vs all users
47. High Status Burial Mound Haunstetten (2112 BC) ..... 14.38 - POST_50 -
Top
99% match vs all users
48. North Alpine Middle Bronze Age (1563 BC) ..... 14.42 - OTTM_151ind2 -
Top
98% match vs all users
49. Vascones Tribe Vasconia (280 BC) ..... 14.42 - I3759 -
Top
99% match vs all users
50. North Alpine Bronze Age (1797 BC) ..... 14.51 - AITI_66 -
Top
99% match vs all users
51. Portuguese Cordoba Caliphate (1050 AD) ..... 14.55 - I12514 -
Top
93% match vs all users
52. Rugii Tribe Oder-Vistula (135 AD) ..... 14.55 - PCA36 - ?
Top
80% match vs all users
53. Iberian Taifa of Valencia (1200 AD) ..... 14.59 - I2649
Top
95% match vs all users
54. Vascones Tribe Vasconia (280 BC) ..... 14.59 - I3758 -
Top
99% match vs all users
55. Crusader Knight French / Lebanon (1250 AD) ..... 14.61 - SI-40 -
Top
98% match vs all users
56. Iberian Cordoba Caliphate (1050 AD) ..... 14.62 - I7498 -
Top
95% match vs all users
57. Roman Era Girona (80 AD) ..... 14.63 - I8339 -
Top
99% match vs all users
58. Spaniard Cordoba Caliphate (1050 AD) ..... 14.64 - I12515 -
Top
93% match vs all users
59. Thraco-Cimmerian Black Sea (900 BC) ..... 14.67 - MJ12 -
Top
98% match vs all users
60. North Alpine Bronze Age (1752 BC) ..... 14.69 - AITI_120 -
Top
84% match vs all users
61. Late Medieval Cancelleria Basilica (1429 AD) ..... 14.69 - R1287 -
Top
96% match vs all users
62. Basque Carolingian (650 AD) ..... 14.73 - I3777 -
Top
99% match vs all users
63. Ilergetes Outlier Catalan (440 BC) ..... 14.75 - I12410 -
Top
99% match vs all users
64. Bronze Age Northern Spain (1440 BC) ..... 14.78 - I2472 -
Top
99% match vs all users
65. Scythian Southern Moldova (290 BC) ..... 14.87 - scy305 -
Top
96% match vs all users
66. Latin Prenestini Tribe Inland PC (400 BC) ..... 15.05 - R435 -
Top
99% match vs all users
67. Scythian Southern Moldova (270 BC) ..... 15.08 - scy192 -
Top
94% match vs all users
68. Marseilles Plague Victim (1721 AD) ..... 15.24 - OBS137 - ?
Top
90% match vs all users
69. Late Medieval Villa Magna Italy (1355 AD) ..... 15.28 - R61 -
Top
88% match vs all users
70. Iberian Taifa of Valencia (1100 AD) ..... 15.36 - I2515
Top
93% match vs all users
71. Vasconic Tribe (275 BC) ..... 15.38 - I8209 -
Top
99% match vs all users
72. Hispano-Roman-Mehrebi Cordoba Caliphate (950 AD) ..... 15.54 - I7497 -
Top
98% match vs all users
73. Scythian Moldova (290 BC) ..... 15.66 - scy311 -
Top
59% match vs all users
74. Vasconic Tribe Empuries (275 BC) ..... 15.68 - I8214 -
Top
99% match vs all users
75. Italy Bell Beaker (2000 BC) ..... 15.71 - I2478 -
Top
99% match vs all users
76. Basque Carolingian (790 AD) ..... 15.77 - I7673 -
Top
99% match vs all users
77. Villanovan Etruscan Italy VGG (850 BC) ..... 15.88 - R1015 -
Top
98% match vs all users
78. Portuguese Cordoba Caliphate (1050 AD) ..... 15.95 - I12516 -
Top
96% match vs all users
79. Niedertiefenbach Western Germany (3200 BC) ..... 15.96 - Niedertiefenbach1 - ?
Top
99% match vs all users
80. Hispano-Roman Taifa of Valencia (1200 AD) ..... 16.03 - I12644 -
Top
96% match vs all users
81. North Alpine Bronze Age (1790 BC) ..... 16.07 - AITI_78 -
Top
53% match vs all users
82. Medieval France Saint-Laurent-de-la-Cabrerisse (1348 AD) ..... 16.23 - SLC1006 - ?
Top
91% match vs all users
83. Bronze Age Northern Spain (1560 BC) ..... 16.23 - VAD001 -
Top
99% match vs all users
84. Medieval Cancelleria Basilica (1005 AD) ..... 16.3 - R1285 -
Top
96% match vs all users
85. Le Mans Revolutionary France (1793 AD) ..... 16.35 - LM_306_T -
Top
48% match vs all users
86. Tartessian Archaic Andalusia (600 BC) ..... 16.35 - I12171 -
Top
99% match vs all users
87. Roman Villa Granada Spain (300 AD) ..... 16.45 - I3982 -
Top
95% match vs all users
88. Iberian Taifa of Valencia (1200 AD) ..... 16.49 - I2644
Top
95% match vs all users
89. Ostrogoth Mix (495 AD) ..... 16.5 - AEH_1 - ?
Top
96% match vs all users
90. Morisco Convert Andalusia (1550 AD) ..... 16.58 - I7425 -
Top
93% match vs all users
91. Bronze Age Spain Cogotas I (1500 BC) ..... 16.6 - I3493 -
Top
99% match vs all users
92. Iron Age Catalan (680 BC) ..... 16.61 - I12641 -
Top
97% match vs all users
93. Ilergetes Tribe Catalan (280 BC) ..... 16.67 - I3327 -
Top
99% match vs all users
94. Iberian Taifa of Valencia (1120 AD) ..... 16.7 - I2514
Top
91% match vs all users
95. Niedertiefenbach Western Germany (3200 BC) ..... 16.7 - Niedertiefenbach20
Top
99% match vs all users
96. Bell Beaker Haunstetten Germany (1873 BC) ..... 16.73 - UNTA58_153 -
Top
98% match vs all users
97. Scythian Southern Moldova (290 BC) ..... 16.78 - scy304 -
Top
98% match vs all users
98. Carthago-Maghrebi Andalusia (1200 AD) ..... 16.9 - I7457 -
Top
97% match vs all users
99. Protovillanovia Martinsicuro (930 BC) ..... 16.97 - R1 -
Top
89% match vs all users
100. Ilercavones Catalan (200 BC) ..... 17.01 - I3321 -
Top
99% match vs all users
101. Cisalpine Gaul (590 AD) ..... 17.02 - SZ45 -
Top
63% match vs all users
102. Roman Villa Tarragona (350 AD) ..... 17.04 - I6490 -
Top
99% match vs all users
103. Latin Roman Isola Sacra (200 AD) ..... 17.12 - R37 -
Top
99% match vs all users
104. Late Medieval Cancelleria Basilica (1485 AD) ..... 17.17 - R1220 -
Top
52% match vs all users
105. Alemannic Bavaria (450 AD) ..... 17.17 - BIM33
Top
65% match vs all users
106. North Alpine Bronze Age (1815 BC) ..... 17.24 - AITI_72 -
Top
68% match vs all users
107. Ilergetes Tribe Catalan (440 BC) ..... 17.36 - I12877 -
Top
99% match vs all users
108. Frankish-Gaul / Lombardy Italy (580 AD) ..... 17.38 - CL47 - ?
Top
42% match vs all users
109. Bronze Age Koenigsbrunn Germany (2012 BC) ..... 17.44 - OBKR_50 -
Top
99% match vs all users
110. Medieval Ireland Kilteasheen (950 AD) ..... 17.48 - KT09 - ?
Top
69% match vs all users
111. Pre-Roman Girona (280 BC) ..... 17.5 - I3324 -
Top
99% match vs all users
112. Latin Tribe Ardea (650 BC) ..... 17.51 - R851 -
Top
99% match vs all users
113. Early Medieval Iberia Granada (500 AD) ..... 17.58 - I3981 -
Top
93% match vs all users
114. Bronze Age Northern Spain (1440 BC) ..... 17.6 - I1840 -
Top
99% match vs all users
115. Marseilles Plague Victim (1721 AD) ..... 17.64 - OBS116 - ?
Top
47% match vs all users
116. Bronze Age Northern Spain (1560 BC) ..... 17.66 - VAD005 -
Top
99% match vs all users
117. Celtibertian Mix (275 BC) ..... 17.78 - I8203 -
Top
98% match vs all users
118. North Alpine Bronze Age (1788 BC) ..... 17.85 - AITI_40 -
Top
65% match vs all users
119. Roman/Illyrian Celio Military Hospital (500 AD) ..... 17.88 - R36 -
Top
90% match vs all users
120. North Central Lombard (580 AD) ..... 17.94 - CL63 - ?
Top
40% match vs all users
121. Czech Velke Prilepy (2050 BC) ..... 18.08 - Rise577 -
Top
41% match vs all users
122. North Roman Warrior (590 AD) ..... 18.18 - NS3c - ?
Top
90% match vs all users
123. Tartessian Archaic Andalusia (600 BC) ..... 18.28 - I12561 -
Top
99% match vs all users
124. Latin Aristocrat Castel di Decima (800 BC) ..... 18.33 - R1016 -
Top
99% match vs all users
125. Carolingian (790 AD) ..... 18.36 - I7675 -
Top
99% match vs all users
126. Medieval Taifa of Valencia (1200 AD) ..... 18.36 - I12649 -
Top
88% match vs all users
127. Portugal Bronze Age (1600 BC) ..... 18.47 - VO10207
Top
99% match vs all users
128. Scythian Outlier Hungary (550 BC) ..... 18.52 - DA195 -
Top
84% match vs all users
129. North Alpine Middle Bronze Age (1525 BC) ..... 18.54 - OTTM_156 -
Top
99% match vs all users
130. Viking Gaelic Mix Iceland (935 AD) ..... 18.56 - GTE-A1 -
Top
42% match vs all users
131. Niedertiefenbach Western Germany (3200 BC) ..... 18.61 - Niedertiefenbach27 - ?
Top
99% match vs all users
132. Bronze Age Haunstetten Germany (1966 BC) ..... 18.67 - POST_28 -
Top
58% match vs all users
133. North Alpine Bronze Age (1950 BC) ..... 18.67 - AITI_70 -
Top
70% match vs all users
134. Franco Medieval Villa Magna Italy (1215 AD) ..... 18.75 - R62 -
Top
38% match vs all users
135. High Status North Alpine Bronze Age (1789 BC) ..... 18.78 - AITI_119 -
Top
78% match vs all users
136. Medieval Taifa of Valencia (1200 AD) ..... 18.8 - I12645 -
Top
94% match vs all users
137. Carthago Outlier Roman Empire VP (100 AD) ..... 18.85 - R111 -
Top
95% match vs all users
138. Roman Villa Granada Spain (300 AD) ..... 18.86 - I4055 -
Top
93% match vs all users
139. Halstatt Celt (775 BC) ..... 18.89 - DA111 -
Top
93% match vs all users
140. Pre-Indo European Tribe (1440 BC) ..... 18.92 - I2471 -
Top
99% match vs all users
141. Iron Age Catalan (650 BC) ..... 18.96 - I3776 -
Top
99% match vs all users
142. Niedertiefenbach Western Germany (3200 BC) ..... 19.0 - Niedertiefenbach37 - ?
Top
99% match vs all users
143. Pre-Indo European Tribe (1440 BC) ..... 19.01 - I2470 -
Top
99% match vs all users
144. North Alpine Bronze Age (1791 BC) ..... 19.12 - AITI_2 -
Top
56% match vs all users
145. Hispano-Roman Taifa of Valencia (1200 AD) ..... 19.12 - I12647 -
Top
91% match vs all users
146. Bell Beaker Haunstetten Germany (2273 BC) ..... 19.28 - UNTA85_1343 -
Top
42% match vs all users
147. Medieval Hungary / Balkan (1244 AD) ..... 19.38 - DA199 -
Top
43% match vs all users
148. Celtic Briton Gladiator York (250 AD) ..... 19.58 - 6DRIF-22 -
Top
38% match vs all users
149. Visigoth Frankish Girona (550 AD) ..... 19.59 - I12032 -
Top
35% match vs all users
150. Bronze Age Northern Spain (1560 BC) ..... 19.78 - VAD004 -
Top
99% match vs all users
151. Iberian Taifa of Valencia (1200 AD) ..... 19.79 - I2647
Top
90% match vs all users
152. Bronze Age Loma del Puerco (1800 BC) ..... 19.86 - I7162 -
Top
99% match vs all users
153. Thuringii Tribe (420 AD) ..... 19.89 - AED_1108 -
Top
35% match vs all users
154. Central Roman (630 AD) ..... 19.91 - CL36 - ?
Top
83% match vs all users
155. Bell Beaker Southern France (2120 BC) ..... 19.96 - I3874 -
Top
55% match vs all users
156. Swiss Germanic (580 AD) ..... 19.97 - CL102 - ?
Top
32% match vs all users
157. Germanic Mixed Tribe (505 AD) ..... 19.97 - AED513 - ?
Top
44% match vs all users
158. Late Roman Iberia Granada (500 AD) ..... 20.25 - I3582 -
Top
91% match vs all users
159. Immigrant Medieval Denmark (1305 AD) ..... 20.28 - G274 -
Top
99% match vs all users
160. Celtiberian Northern Spain (350 BC) ..... 20.54 - I3757 -
Top
99% match vs all users
161. Niedertiefenbach Western Germany (3200 BC) ..... 20.61 - Niedertiefenbach33 - ?
Top
99% match vs all users
162. Bronze Age Spain Cogotas I (1500 BC) ..... 20.68 - I3490 -
Top
99% match vs all users
163. Bronze Age Amesbury (1450 BC) ..... 20.68 - I2458 -
Top
40% match vs all users
164. Medieval Tyrolian (580 AD) ..... 20.72 - CL53 -
Top
32% match vs all users
165. Visigoth Germanic Girona (550 AD) ..... 20.74 - I12162 -
Top
34% match vs all users
166. Carthago Outlier San Ercolano (500 AD) ..... 21.0 - R121 -
Top
95% match vs all users
167. Iron Age Catalan (600 BC) ..... 21.04 - I12642 -
Top
99% match vs all users
168. Iberia Bronze Age (1600 BC) ..... 21.1 - ATP9 -
Top
99% match vs all users
169. Late Medieval Cancelleria Basilica (1440 AD) ..... 21.18 - R1219 -
Top
40% match vs all users
170. Celtic Medieval Denmark Ribe (1305 AD) ..... 21.39 - G397 -
Top
47% match vs all users
171. Niedertiefenbach Western Germany (3200 BC) ..... 21.41 - Niedertiefenbach21 - ?
Top
99% match vs all users
172. Pre-Roman Girona (280 BC) ..... 21.43 - I3323 -
Top
99% match vs all users
173. High Status Bronze Age Wehringen (1865 BC) ..... 21.48 - WEHR_1586 -
Top
72% match vs all users
174. Medieval Tyrolian (590 AD) ..... 21.49 - SZ18 -
Top
29% match vs all users
175. Bell Beaker Scotland (2145 BC) ..... 21.51 - I5471 -
Top
34% match vs all users
176. Late Roman Iberia Granada (470 AD) ..... 21.51 - I3576 -
Top
88% match vs all users
177. Frankish / Hungary (590 AD) ..... 21.6 - SZ23 -
Top
33% match vs all users
178. Bell Beaker France (2300 BC) ..... 21.61 - I1388 -
Top
99% match vs all users
179. North Alpine Bronze Age (1755 BC) ..... 21.63 - AITI_95 -
Top
99% match vs all users
180. Niedertiefenbach Western Germany (3200 BC) ..... 21.63 - Niedertiefenbach10 - ?
Top
99% match vs all users
181. Greuthungi / Ostrogoth (310 AD) ..... 21.64 - MJ37 -
Top
39% match vs all users
182. Gaelic Settler Viking Iceland (935 AD) ..... 21.66 - ORE-A1 -
Top
38% match vs all users
183. Celtic-Saxon Hinxton (700 AD) ..... 21.66 - HinxtonO2 -
Top
38% match vs all users
184. Morisco Italo-Iberian Andalusia (1550 AD) ..... 21.79 - I7424 -
Top
86% match vs all users
185. Celtic Briton Gladiator York (250 AD) ..... 21.86 - 3DRIF-16 -
Top
35% match vs all users
186. Late Roman Iberia Granada (500 AD) ..... 21.96 - I3581 -
Top
90% match vs all users
187. Central Roman Mausoleo Augusto (500 AD) ..... 22.03 - R32 -
Top
89% match vs all users
188. Justinian Plague Victim (760 AD) ..... 22.06 - LSD021 - ?
Top
87% match vs all users
189. Carthaginian Ibiza (270 BC) ..... 22.1 - MS10614 - ?
Top
97% match vs all users
190. Le Mans Revolutionary France (1793 AD) ..... 22.11 - LM_213_T -
Top
99% match vs all users
191. Central Roman (590 AD) ..... 22.29 - SZ43 -
Top
82% match vs all users
192. Germanic Mixed Tribe (505 AD) ..... 22.35 - AED125b - ?
Top
38% match vs all users
193. Ostrogoth Frankish Mix (410 AD) ..... 22.37 - STR_328 -
Top
48% match vs all users
194. Byzantine Roman Warrior (605 AD) ..... 22.4 - NS3b - ?
Top
80% match vs all users
195. Frankish / Hungary (590 AD) ..... 22.46 - SZ38 - ?
Top
31% match vs all users
196. Alemannic Bavaria (450 AD) ..... 22.47 - BIM_33 -
Top
31% match vs all users
197. Western Scythian Hungary (550 BC) ..... 22.5 - DA194 -
Top
38% match vs all users
198. Proto-Celtic Child Bronze Age Wehringen (1957 BC) ..... 22.53 - WEHR_1415child -
Top
42% match vs all users
199. Medieval Cancelleria Basilica (860 AD) ..... 22.64 - R1283 -
Top
89% match vs all users
200. Germanic Tribe Crypta Balbi (500 AD) ..... 22.72 - R106 -
Top
40% match vs all users
I only get 100 samples (normal Zeus) for now :)
Buon Natale a Tutti
🎄
Merry Christmas Salento, and to all my friends on Eupedia!
I have R1, R437, and R850 uploaded to MTA, in AncestryDNA format. They are actually a bit closer to themselves, in that format than the WGS combined format.
Here are some interesting observations I've made between these samples in the Regional Archeogenetic map of Ancient Rome:
R1 is only linked to R437, among the Antonio M. et al 2019 Iron Age samples. There is a connection in the Roman Republican period.
R437 is linked to R1 in the Bronze age, and R850 in the Iron Age.
R850 is only linked to R437 in the Roman Republican period.
My speculation is perhaps the Latins were a merger of R1-like, and R850-like admixture.
R1+R850=R437
I can produce GIF of my observations. But I'm a little busy helping with Christmas dinner at the moment, so maybe not today. :smile:
I have R1, R437, and R850 uploaded to MTA, in AncestryDNA format. They are actually a bit closer to themselves, in that format than the WGS combined format.
Here are some interesting observations I've made between these samples in the Regional Archeogenetic map of Ancient Rome:
R1 is only linked to R437, among the Antonio M. et al 2019 Iron Age samples. There is a connection in the Roman Republican period.
R437 is linked to R1 in the Bronze age, and R850 in the Iron Age.
R850 is only linked to R437 in the Roman Republican period.
My speculation is perhaps the Latins were a merger of R1-like, and R850-like admixture.
R1+R850=R437
I can produce GIF of my observations. But I'm a little busy helping with Christmas dinner at the moment, so maybe not today. :smile:
Thanks :)
MTA Kit Comparison
R437 vs R1 (Comb. Format):
https://i.imgur.com/CY3kSSX.jpg
R1 (white) vs Me (Gray):
https://i.imgur.com/AZw8rsF.jpg
R437 vs Me
(... except for 2 dots, we’re almost identical):
https://i.imgur.com/kmSSB44.jpg
Salento vs Me :grin:
https://i.Imgur.com/zZOlIOH.jpg
... GedMatch EUtest V2 K15
Kit Num: AG4512653)
R1 Oracle
Single Population Sharing:
1 North_Italian 6.14
2 Tuscan 6.17
3 Italian_Abruzzo 10.89
4 West_Sicilian 11.02
5 Greek 11.31
6 Spanish_Andalucia 11.34
7 Spanish_Extremadura 11.51
8 Spanish_Murcia 11.59
9 Bulgarian 11.87
10 Portuguese 12.23
Mixed mode
1 59.7% Italian_Abruzzo + 40.3% Southwest_French @2.77
Interesting. I'm close to 5 for both North Italian and Tuscan in Eurogenes.
So much for there's been no continuity in Italy.
I have R1, R437, and R850 uploaded to MTA, in AncestryDNA format. They are actually a bit closer to themselves, in that format than the WGS combined format.
Here are some interesting observations I've made between these samples in the Regional Archeogenetic map of Ancient Rome:
R1 is only linked to R437, among the Antonio M. et al 2019 Iron Age samples. There is a connection in the Roman Republican period.
R437 is linked to R1 in the Bronze age, and R850 in the Iron Age.
R850 is only linked to R437 in the Roman Republican period.
My speculation is perhaps the Latins were a merger of R1-like, and R850-like admixture.
R1+R850=R437
I can produce GIF of my observations. But I'm a little busy helping with Christmas dinner at the moment, so maybe not today. :smile:
https://i.imgur.com/cGOmIUd.jpg
https://i.imgur.com/cGOmIUd.jpg
thanks
i do not know if they are linked or not
but , I get R1 as my #1 choice and the other 2 do not appear in my first 100
thanks
i do not know if they are linked or not
but , I get R1 as my #1 choice and the other 2 do not appear in my first 100
Idk, but R1 gets only R437 in the Republican era, and not to any others from the Iron age samples.
R1 also has a relatively strong affinity to Scythians and Illyrians.
850 has a relatively strong affinity to copper age Anatolia; in the study, it says it can form a clade with it.
Among those three samples, I noticed only 437 has a link to the Sicily Beaker in the Bronze Age.
Another important observation is the link these Iron age samples have to future samples, like the Imperial era. Samples that the study tries to argue changed Rome in the Imperial era.
Well I guess the fact that Latins from the previous eras get those samples too, confounds that narrative.
thanks
i do not know if they are linked or not
but , I get R1 as my #1 choice and the other 2 do not appear in my first 100
R1 get R120 (y T1a2 - T-L446) in the Top 100, what about you ???
R850 (also a y T), R437 and I do Not get R120 in the top 100.
https://www.eupedia.com/forum/threads/38222-Mytrueancestry-com?p=593611&viewfull=1#post593611
R1 get R120 (y T1a2 - T-L446) in the Top 100, what about you ???
R850 (also a y T), R437 and I do Not get R120 in the top 100.
https://www.eupedia.com/forum/threads/38222-Mytrueancestry-com?p=593611&viewfull=1#post593611
R120 .............I do not get in my top 100
CL23 the other T ydna is my #14 ...........................I do not know why they state this as iberian, when he is born in bulgaria, raised in Pannonia and died in Italy ..........maybe his mum is iberian
do you get this below from Sochi russia
52. Thraco-Cimmerian Black Sea (900 BC) ..... 15.89 - MJ12 -
Top 97% match vs all users
Idk, but R1 gets only R437 in the Republican era, and not to any others from the Iron age samples.
R1 also has a relatively strong affinity to Scythians and Illyrians.
850 has a relatively strong affinity to copper age Anatolia; in the study, it says it can form a clade with it.
Among those three samples, I noticed only 437 has a link to the Sicily Beaker in the Bronze Age.
Yes, R1 is very strong with Scythians, Illyrians and Thracians ............I get all Dalmatians and all Scythians ( moldova )
I get zero samples with Anatolia or levant ( except a crusader from 1000AD )
Another interesting observation is that the Latin Prenestini R437 has a relatively strong affinity to the Imperial Prenestini R436; as do I.
R120 .............I do not get in my top 100
CL23 the other T ydna is my #14 ...........................I do not know why they state this as iberian, when he is born in bulgaria, raised in Pannonia and died in Italy ..........maybe his mum is iberian
do you get this below from Sochi russia
52. Thraco-Cimmerian Black Sea (900 BC) ..... 15.89 - MJ12 -
Top 97% match vs all users
I do not, I get this instead:
https://i.imgur.com/zlXnRlC.jpg
https://i.imgur.com/CXPrKHK.jpg
I do not, I get this instead:
https://i.imgur.com/zlXnRlC.jpg
https://i.imgur.com/CXPrKHK.jpg
seems like in MTA......you went to europe via south of the black sea .......and I , north of the black sea
i only get this
32. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 14.31 - I3499 -
Top 98% match vs all users
the sochi one
and one from 900BC
these are the Thracians I get
Yes, R1 is very strong with Scythians, Illyrians and Thracians ............I get all Dalmatians and all Scythians ( moldova )
I get zero samples with Anatolia or levant ( except a crusader from 1000AD )
I do not get any Greek or southern balkans either in anything in MTA .........
I get this in my heritage
Ethnicity EstimateYou have 3 ethnicities
Italian 70.2%
Balkan 15.6%
Irish, Scottish, and Welsh 14.2%
R120 .............I do not get in my top 100
CL23 the other T ydna is my #14 ...........................I do not know why they state this as iberian, when he is born in bulgaria, raised in Pannonia and died in Italy ..........maybe his mum is iberian
do you get this below from Sochi russia
52. Thraco-Cimmerian Black Sea (900 BC) ..... 15.89 - MJ12 -
Top 97% match vs all users
R120 has the following positive SNP's....L131, Y6033, FGC23008, Z19913 and 18 others
he sits here
https://www.yfull.com/branch-info/T-Y6033/#t1-tab
What are your OUTLIERS ......and do they have reflection on your migrational path
Your Outlier Samples...(These are the most genetically unique among your broader matching samples) https://mytrueancestry.com/img/Outlier.jpg
137. Western-Scythian Black Sea (290 BC) ..... 22.07 - MJ34 -
Top 39% match vs all users
162. Ostrogoth Frankish Mix (410 AD) ..... 23.53 - STR_328 -
Top 42% match vs all users
166. Scythian Ukraine (600 BC) ..... 23.71 - scy010 -
Top 46% match vs all users
169. Germanic Lombard (590 AD) ..... 23.96 - SZ42 -
Top 28% match vs all users
My #1 sample, below, slightly increased the Total cM
Protovillanovia Martinsicuro
930 BC
R1
mtDNA: [Upgrade to see] (https://mytrueancestry.com/c/main.py#)
Total cM=88.26
Largest segment=14.43 cM (7 shared. Sample quality: 94) - Your raw DNA is 85% closer than other matching users
Chr. 5
11.3 cM
Chr. 6
26.19 cM
Chr. 7
14.07 cM
Chr. 8
10.67 cM
Chr. 11
11.58 cM
Chr. 20
14.43 cM
Yinwang888
28-12-19, 19:09
I don't understand --- if we can only detect family relations out to 4-5th cousins --- how can true-ancestry claim to detect it so far back? Isn't it more just a case of "you have roughly same ethnicity-make-up as this ancient person"
I don't understand --- if we can only detect family relations out to 4-5th cousins --- how can true-ancestry claim to detect it so far back? Isn't it more just a case of "you have roughly same ethnicity-make-up as this ancient person"
Yes, exactly. I can play in K15 Ancient (http://vahaduo.genetics.ovh/k15ancient-vahaduo.htm) for fun with my results compared to ancients but not to take it seriously that I'm straight descendant of Av2 or Sunghir sample, this is just similarity... The same situation is with MTA results:)
Moreover it was proven many times that especially deep dive is unreliable or at least cM values are few times higher than it should be.
https://1.bp.blogspot.com/-loMYfDNWh38/XgqF56-5hCI/AAAAAAAAB6g/vEDd6yMqIPE8THoNqIf4DjSAmAQ-F4lAACLcBGAsYHQ/s1600/EtruscanCivitavecchiaR74.JPEG
https://1.bp.blogspot.com/-d7MjElHtSXE/XgqF3cBP6tI/AAAAAAAAB6c/sWPzWk-50b8oQoC-ZivwIL3vAlaAkok-wCLcBGAsYHQ/s1600/ETRUSCANcivitavecchiaR473.jpg
https://1.bp.blogspot.com/-xdldwJO7Ta0/XgqFSqdvLCI/AAAAAAAAB6M/V_9gZWzYp_caLdIyxdSj49-C42rlDcjRwCLcBGAsYHQ/s1600/deepdiveetrusca473.jpeg
https://1.bp.blogspot.com/-d3wnDNP4vgA/XgqFXHolLuI/AAAAAAAAB6Q/XiRTnOIvQvUNRYgUZAJEUzwPTehnAYSeACLcBGAsYHQ/s1600/mapdeepdiveR474.jpeg
my Roman Era Iberia:
https://i.imgur.com/Axp8SgR.jpg
Deep Dive Map:
https://i.imgur.com/mWJuzG8.jpg
1. Bell Beaker Haunstetten Germany (2385 BC) ..... 3.586 - UNTA58_68Sk1 -
Top
100
% match vs all users
2. Medieval Villa Magna Italy (990 AD) ..... 4.463 - R63 -
Top
100
% match vs all users
3. Roman Soldier Freiham-Nord Germany (300 AD) ..... 5.479 - FN_2
Top
99
% match vs all users
4. Visigoth Iberian Girona (550 AD) ..... 5.576 - I12034 -
Top
99
% match vs all users
22. Le Mans Revolutionary France (1793 AD) ..... 9.459 - LM_406_T -
Top
99
% match vs all users
The sample R474 is practically me in relation to my own kit.
The Etruscan samples also have stutters in the 200 examples, perhaps there are no segments for the quality of the samples.
81. Tartessian Archaic Andalusia (600 BC) ..... 14.6 - I12561 -
Top
99
% match vs all users
103. Tartessian Archaic Andalusia (600 BC) ..... 16.13 - I12171 -
Top
99
% match vs all users
150. Bronze Age Loma del Puerco (1800 BC) ..... 19.49 - I7162 -
Top
99
% match vs all users
R74
https://1.bp.blogspot.com/-RBCtazViOPY/XgsSV2LOs_I/AAAAAAAAB6w/_ws0s-dd3HABlkRwFn4dUAwRUW-dpMmLACLcBGAsYHQ/s1600/R74etrusco.jpg
Mine
https://1.bp.blogspot.com/-RQDjTdWwbyw/XgsTJQyFrDI/AAAAAAAAB7A/Qnt6fzhQbTYnn9MeiLbFIMnaFAytMzDwwCLcBGAsYHQ/s1600/MINEdonutoDNAY.JPEG
R74 mtDNA
https://1.bp.blogspot.com/-Czgw1vgtxFw/XgsSaGxq-3I/AAAAAAAAB60/t04M2L5hYGII4A8oHhxyJWlxUc1zoESWgCLcBGAsYHQ/s1600/mtdnaR74.JPEG
Mine
https://1.bp.blogspot.com/-z-yfN1CPlvY/XgsT9_ynGsI/AAAAAAAAB7I/33mJIyAqUpAXPmsx3MM-kXFOSvupIKaDwCLcBGAsYHQ/s1600/Minemtdna.JPEG
Sorry romans But nothing is for ever. Maybe you came to believe that it was all over with us but in fact it had just started lol
3. Etruscan Civitavecchia (650 BC) ..... 9.714 - R474 - Similar Samples:
https://i.imgur.com/bZ64OG7.png
Some related to R474 with details:
https://i.imgur.com/OjqdegB.png
https://i.imgur.com/xufGUuG.png
https://i.imgur.com/E7wdeWk.png
my Roman Era Iberia:
https://i.imgur.com/Axp8SgR.jpg
Deep Dive Map:
https://i.imgur.com/mWJuzG8.jpg
Yes, I guess they liked the climate. :) The one from the Roman Villa in Tarragona is intriguing. I like Tarragona, nice city, and nice amphitheater, too. I like Catalonia as a whole a lot, feel very "at home" there.
http://www.catalonia-valencia.com/wp-content/uploads/2014/03/Roman-Amphitheatre-Tarragona.jpg
https://i.imgur.com/1ltWlSV.png
Ah, wait, two other villa ones from the south as well. So, settlers probably, not just merchants or whatever.
@Carlos,
Getting a bit rude, aren't we?
Sorry romans But nothing is for ever. Maybe you came to believe that it was all over with us but in fact it had just started lol
I'm starting to find that these values are wrong. For example, R1548 is supposed to be my number 1 on MTA, but it is far from it. Currently R973 is my number on the Dodecad K12b version I am compiling on mlukas's site.
Northern Italians are actually closer to most Latins and Etruscans samples, than Spaniards:
Example:
Distance to:
IA_Latin_Ardea_R851
2.98306889
IA_Boville_Ernica_R1021
5.54009928
IA_Veio_Grotta_Gramiccia_R1015
6.03394564
IA_Castel_di_Decima_R1016
6.29099356
IA_Civitavecchia_R473
8.21318452
North_Italian
8.35141305
Baleares
8.99323635
IA_Latin_Prenestina_Colombella_R435
10.23018573
N_Italian
11.22772016
Galicia
11.69795281
Spaniards
12.46485459
IA_Civitavecchia_R474
12.50926457
Extremadura
12.55556052
Castilla_Y_Leon
12.62493168
Andalucia
12.85807528
Murcia
12.91240102
Cataluna
13.51998891
Cantabria
13.52852172
Valencia
13.65238807
Spanish
13.82596109
Portuguese
14.50117581
Castilla_La_Mancha
14.70424769
Aragon
15.78121351
IA_Protovillanovan_Martinsicuro_R1
15.92883863
TSI30
16.54642257
Canarias
Distance to:
IA_Civitavecchia_R473
3.27873451
IA_Veio_Grotta_Gramiccia_R1015
5.78160877
North_Italian
5.95183165
IA_Castel_di_Decima_R1016
6.29099356
IA_Latin_Ardea_R851
6.78988218
IA_Boville_Ernica_R1021
8.38279786
N_Italian
8.87318996
Baleares
10.23676218
IA_Latin_Prenestina_Colombella_R435
10.98056465
IA_Civitavecchia_R474
11.14162017
Galicia
12.35530251
Murcia
12.82465984
Extremadura
13.07071153
Spaniards
13.12059831
TSI30
13.36231642
Andalucia
13.40997763
Castilla_Y_Leon
13.81376849
Portuguese
14.28975507
IA_Protovillanovan_Martinsicuro_R1
14.40643953
Cataluna
14.67480494
Spanish
15.05738689
Tuscan
15.22069315
Cantabria
15.23212067
Castilla_La_Mancha
15.39107858
Valencia
16.25906824
Aragon
Distance to:
IA_Boville_Ernica_R1021
2.98306889
IA_Latin_Ardea_R851
5.03751923
IA_Castel_di_Decima_R1016
5.14806760
IA_Veio_Grotta_Gramiccia_R1015
6.75586412
North_Italian
6.78988218
IA_Civitavecchia_R473
8.69822970
N_Italian
9.72521465
Baleares
10.82441684
IA_Latin_Prenestina_Colombella_R435
11.71405566
IA_Civitavecchia_R474
12.72055816
Galicia
13.65209874
Spaniards
13.66606015
Andalucia
13.68447295
Extremadura
13.72961762
TSI30
14.12451061
IA_Protovillanovan_Martinsicuro_R1
14.14446181
Murcia
14.19710534
Castilla_Y_Leon
14.95184938
Cataluna
14.96557049
Portuguese
15.46727513
Tuscan
15.51092518
Spanish
15.51673290
Valencia
15.71011776
Cantabria
16.39121106
Castilla_La_Mancha
16.74619360
Aragon
Distance to:
IA_Castel_di_Decima_R1016
4.01160816
IA_Veio_Grotta_Gramiccia_R1015
5.03751923
IA_Boville_Ernica_R1021
5.15760603
North_Italian
5.95183165
IA_Civitavecchia_R473
6.03394564
IA_Latin_Ardea_R851
7.87889586
N_Italian
8.24389471
Baleares
11.06406345
IA_Civitavecchia_R474
11.32371847
Andalucia
11.42493764
IA_Latin_Prenestina_Colombella_R435
11.42629424
Galicia
11.95574339
Murcia
12.07648128
Extremadura
12.25715301
TSI30
12.59229129
Spaniards
12.99406788
Castilla_Y_Leon
13.45805707
Portuguese
14.10107088
Tuscan
14.26729827
Cataluna
14.31892454
IA_Protovillanovan_Martinsicuro_R1
14.36500609
Spanish
14.53080865
Valencia
14.78261817
Castilla_La_Mancha
14.93880183
Canarias
14.97183356
Cantabria
Distance to:
IA_Veio_Grotta_Gramiccia_R1015
3.27873451
IA_Civitavecchia_R473
4.01160816
IA_Castel_di_Decima_R1016
5.14806760
IA_Boville_Ernica_R1021
5.24512154
North_Italian
5.54009928
IA_Latin_Ardea_R851
8.03976368
N_Italian
8.21257572
Baleares
10.85773457
Galicia
10.87764221
IA_Civitavecchia_R474
10.98685578
IA_Latin_Prenestina_Colombella_R435
11.64063572
Murcia
12.06155048
Extremadura
12.15138675
Andalucia
12.49035628
TSI30
12.74874111
Castilla_Y_Leon
12.84337962
Spaniards
13.02558636
Portuguese
14.10738814
IA_Protovillanovan_Martinsicuro_R1
14.29485922
Spanish
14.48704249
Cataluna
14.48716673
Tuscan
14.59809577
Canarias
15.02812031
Castilla_La_Mancha
15.03589040
Valencia
15.10769340
Cantabria
Distance to:
IA_Civitavecchia_R474
5.40006481
N_Italian
7.56863924
IA_Protovillanovan_Martinsicuro_R1
8.09843195
North_Italian
10.68767982
IA_Latin_Prenestina_Colombella_R435
10.87764221
IA_Veio_Grotta_Gramiccia_R1015
10.98056465
IA_Civitavecchia_R473
11.06406345
IA_Castel_di_Decima_R1016
11.71405566
IA_Boville_Ernica_R1021
12.03535625
LA_Celio_R36
12.08194107
Baleares
12.08642627
O_Italian
12.12151393
TSI30
12.46485459
IA_Latin_Ardea_R851
12.76096000
Galicia
13.43684859
Extremadura
14.08415422
Portuguese
14.15437388
Tuscan
14.17464638
Albanian_North
14.26640459
Albanian_Kosovo
15.65916026
Murcia
15.83631902
Imperial_Monterotondo_R1549
16.08680515
Castilla_Y_Leon
16.25876994
LA_S_Ercolano_Necropolis_Ostia_R118
16.41527642
Cataluna
16.49286816
French
Distance to:
IA_Protovillanovan_Martinsicuro_R1
7.11862346
O_Italian
7.18894985
N_Italian
7.51609606
Albanian_North
7.56863924
IA_Civitavecchia_R474
7.76251248
Albanian_Kosovo
8.94220890
LA_Celio_R36
9.42569891
TSI30
10.32626263
North_Italian
10.61324644
Tuscan
12.67284893
C_Italian
12.72463359
Imperial_Monterotondo_R1549
13.02779337
MA_Tivoli_Palazzo_Cianti_R970
13.46066492
LA_S_Ercolano_Necropolis_Ostia_R121
13.87592880
MA_Villa_Magna_R60
14.10656230
LA_S_Ercolano_Necropolis_Ostia_R118
14.10738814
IA_Veio_Grotta_Gramiccia_R1015
14.12451061
IA_Boville_Ernica_R1021
14.28975507
IA_Civitavecchia_R473
14.31892454
IA_Castel_di_Decima_R1016
15.04893352
Bulgarians
15.06029880
Romanians
15.41974708
Bulgarian
15.78121351
IA_Latin_Ardea_R851
15.89171168
MA_Villa_Magna_R1290
16.03948877
Imperial_Civitanova_Marche_R836
Distance to:
IA_Latin_Prenestina_Selicata_R437
4.59913035
S_Italian_Sicilian
4.83577295
Sicilian
5.37071690
Imperial_Civitanova_Marche_R836
5.58436209
MA_Villa_Magna_R1290
5.75484144
MA_Villa_Magna_R65
5.92564764
MA_Tivoli_Palazzo_Cianti_R973
6.53716299
MA_Villa_Magna_R59
6.57532509
LA_S_Ercolano_Necropolis_Ostia_R118
6.62618291
C_Italian
8.68328855
LA_S_Ercolano_Necropolis_Ostia_R121
9.89564551
MA_Villa_Magna_R60
10.09640530
MA_Tivoli_Palazzo_Cianti_R970
10.16248001
Ashkenazi
10.49031935
Tuscan
10.64005169
Ashkenazy_Jews
11.10535456
LA_Celio_R36
11.26179382
Greek
11.34612709
Greek_Crete
11.40172794
Sephardic_Jews
11.72748055
TSI30
11.99572424
O_Italian
12.17614060
Imperial_Monterotondo_R1548
12.92229856
Morocco_Jews
13.00421086
MA_Villa_Magna_R57
13.37198938
Imperial_Monterotondo_R1549
Distance to:
IA_Latin_Ardea_R850
3.90799181
Greek_Crete
4.90446735
Imperial_Monterotondo_R1548
7.13377179
Ashkenazy_Jews
7.74058137
Sephardic_Jews
7.82175172
Ashkenazi
9.49243910
MA_Villa_Magna_R65
10.15725357
S_Italian_Sicilian
10.43784940
Sicilian
10.88449356
Greek_Cappadocia
11.74901272
MA_Villa_Magna_R59
11.86263040
Cypriots
11.99563671
MA_Tivoli_Palazzo_Cianti_R973
12.08694751
Nusayri_Turkey
12.19292418
Morocco_Jews
13.12759689
Crimean_Tatar_Coast
13.17106678
Turk_West_BlackSea
13.49063008
Turk_Central_West
13.55089296
MA_Villa_Magna_R1290
14.08757609
Imperial_Civitanova_Marche_R836
14.10277987
IA_Latin_Prenestina_Selicata_R437
14.16544387
Greek
14.43175665
Turk_Central_East
14.45064012
Turk_Anatolia
14.88196224
MA_Villa_Magna_R60
15.19421600
Turk_Southwest
The only one that I see is closest to Iberians is R435:
Distance to:
IA_Latin_Prenestina_Colombella_R435
7.26140482
Baleares
7.44595192
Galicia
7.98874208
Cataluna
8.99323635
IA_Latin_Ardea_R851
9.01121523
Spaniards
9.17724359
Extremadura
9.91413133
Castilla_Y_Leon
10.23676218
IA_Civitavecchia_R473
10.27070105
Portuguese
10.32665483
Spanish
10.44412754
French
10.63531852
Cantabria
10.68767982
IA_Civitavecchia_R474
10.82441684
IA_Boville_Ernica_R1021
10.98685578
IA_Veio_Grotta_Gramiccia_R1015
11.10933391
French
11.39798228
Murcia
11.42493764
IA_Castel_di_Decima_R1016
11.60238769
Valencia
11.86962510
Castilla_La_Mancha
12.09465584
North_Italian
12.27742644
N_Italian
12.63263235
Aragon
12.88846771
Andalucia
16.05179118
Canarias
^^
I don't know, every calculator is one is a surprise. They probably all have some truth and everything is not quite right. Next year they will probably have changed again. It would be wonderful if they made each one a custom calculator with our tastes, desires and desires. Look, some have been lucky and have done it.
R1548 rank #1 on MTA, #4 on the most recent Rs (only) on Dod. K12b
(... data limitations - but a small comparison between the two):
https://i.imgur.com/t8jlMsB.jpg
18. Medieval Villa Magna Italy (1100 AD) ..... 12.87 - R65
(R836 N/A)
62. Latin Prenestini Tribe Inland PS (300 BC) ..... 16.85 - R437
1. Hellenic Roman Monterotondo (165 AD) ..... 10.39 - R1548
22. Latin Tribe Ardea (650 BC) ..... 13.51 - R850
(R1549 N/A)
85. Protovillanovia Martinsicuro (930 BC) ..... 18.95 - R1
............
Yes, I guess they liked the climate. :) The one from the Roman Villa in Tarragona is intriguing. I like Tarragona, nice city, and nice amphitheater, too. I like Catalonia as a whole a lot, feel very "at home" there.
http://www.catalonia-valencia.com/wp-content/uploads/2014/03/Roman-Amphitheatre-Tarragona.jpg
https://i.imgur.com/1ltWlSV.png
Ah, wait, two other villa ones from the south as well. So, settlers probably, not just merchants or whatever.
... we should all get our own “Villa” / “Domus Aurea” :grin:
some of these ancient samples had more $$$ and a quasi better standard of living than we do :)
... we should all get our own “Villa” / “Domus Aurea” :grin:
some of these ancient samples had more $$$ and a quasi better standard of living than we do :)
I think Nero's "Golden House" was probably beyond the means of our distant relatives. :)
However, going by the virtual reconstruction of this Roman villa in Spain, I'd be happy to live there...
https://www.youtube.com/watch?v=_MjoaTsI-9c
I'm starting to find that these values are wrong. For example, R1548 is supposed to be my number 1 on MTA, but it is far from it. Currently R973 is my number on the Dodecad K12b version I am compiling on mlukas's site.
Northern Italians are actually closer to most Latins and Etruscans samples, than Spaniards:
Example:
Distance to:
IA_Latin_Ardea_R851
2.98306889
IA_Boville_Ernica_R1021
5.54009928
IA_Veio_Grotta_Gramiccia_R1015
6.03394564
IA_Castel_di_Decima_R1016
6.29099356
IA_Civitavecchia_R473
8.21318452
North_Italian
8.35141305
Baleares
8.99323635
IA_Latin_Prenestina_Colombella_R435
10.23018573
N_Italian
11.22772016
Galicia
11.69795281
Spaniards
12.46485459
IA_Civitavecchia_R474
12.50926457
Extremadura
12.55556052
Castilla_Y_Leon
12.62493168
Andalucia
12.85807528
Murcia
12.91240102
Cataluna
13.51998891
Cantabria
13.52852172
Valencia
13.65238807
Spanish
13.82596109
Portuguese
14.50117581
Castilla_La_Mancha
14.70424769
Aragon
15.78121351
IA_Protovillanovan_Martinsicuro_R1
15.92883863
TSI30
16.54642257
Canarias
Distance to:
IA_Civitavecchia_R473
3.27873451
IA_Veio_Grotta_Gramiccia_R1015
5.78160877
North_Italian
5.95183165
IA_Castel_di_Decima_R1016
6.29099356
IA_Latin_Ardea_R851
6.78988218
IA_Boville_Ernica_R1021
8.38279786
N_Italian
8.87318996
Baleares
10.23676218
IA_Latin_Prenestina_Colombella_R435
10.98056465
IA_Civitavecchia_R474
11.14162017
Galicia
12.35530251
Murcia
12.82465984
Extremadura
13.07071153
Spaniards
13.12059831
TSI30
13.36231642
Andalucia
13.40997763
Castilla_Y_Leon
13.81376849
Portuguese
14.28975507
IA_Protovillanovan_Martinsicuro_R1
14.40643953
Cataluna
14.67480494
Spanish
15.05738689
Tuscan
15.22069315
Cantabria
15.23212067
Castilla_La_Mancha
15.39107858
Valencia
16.25906824
Aragon
Distance to:
IA_Boville_Ernica_R1021
2.98306889
IA_Latin_Ardea_R851
5.03751923
IA_Castel_di_Decima_R1016
5.14806760
IA_Veio_Grotta_Gramiccia_R1015
6.75586412
North_Italian
6.78988218
IA_Civitavecchia_R473
8.69822970
N_Italian
9.72521465
Baleares
10.82441684
IA_Latin_Prenestina_Colombella_R435
11.71405566
IA_Civitavecchia_R474
12.72055816
Galicia
13.65209874
Spaniards
13.66606015
Andalucia
13.68447295
Extremadura
13.72961762
TSI30
14.12451061
IA_Protovillanovan_Martinsicuro_R1
14.14446181
Murcia
14.19710534
Castilla_Y_Leon
14.95184938
Cataluna
14.96557049
Portuguese
15.46727513
Tuscan
15.51092518
Spanish
15.51673290
Valencia
15.71011776
Cantabria
16.39121106
Castilla_La_Mancha
16.74619360
Aragon
Distance to:
IA_Castel_di_Decima_R1016
4.01160816
IA_Veio_Grotta_Gramiccia_R1015
5.03751923
IA_Boville_Ernica_R1021
5.15760603
North_Italian
5.95183165
IA_Civitavecchia_R473
6.03394564
IA_Latin_Ardea_R851
7.87889586
N_Italian
8.24389471
Baleares
11.06406345
IA_Civitavecchia_R474
11.32371847
Andalucia
11.42493764
IA_Latin_Prenestina_Colombella_R435
11.42629424
Galicia
11.95574339
Murcia
12.07648128
Extremadura
12.25715301
TSI30
12.59229129
Spaniards
12.99406788
Castilla_Y_Leon
13.45805707
Portuguese
14.10107088
Tuscan
14.26729827
Cataluna
14.31892454
IA_Protovillanovan_Martinsicuro_R1
14.36500609
Spanish
14.53080865
Valencia
14.78261817
Castilla_La_Mancha
14.93880183
Canarias
14.97183356
Cantabria
Distance to:
IA_Veio_Grotta_Gramiccia_R1015
3.27873451
IA_Civitavecchia_R473
4.01160816
IA_Castel_di_Decima_R1016
5.14806760
IA_Boville_Ernica_R1021
5.24512154
North_Italian
5.54009928
IA_Latin_Ardea_R851
8.03976368
N_Italian
8.21257572
Baleares
10.85773457
Galicia
10.87764221
IA_Civitavecchia_R474
10.98685578
IA_Latin_Prenestina_Colombella_R435
11.64063572
Murcia
12.06155048
Extremadura
12.15138675
Andalucia
12.49035628
TSI30
12.74874111
Castilla_Y_Leon
12.84337962
Spaniards
13.02558636
Portuguese
14.10738814
IA_Protovillanovan_Martinsicuro_R1
14.29485922
Spanish
14.48704249
Cataluna
14.48716673
Tuscan
14.59809577
Canarias
15.02812031
Castilla_La_Mancha
15.03589040
Valencia
15.10769340
Cantabria
Distance to:
IA_Civitavecchia_R474
5.40006481
N_Italian
7.56863924
IA_Protovillanovan_Martinsicuro_R1
8.09843195
North_Italian
10.68767982
IA_Latin_Prenestina_Colombella_R435
10.87764221
IA_Veio_Grotta_Gramiccia_R1015
10.98056465
IA_Civitavecchia_R473
11.06406345
IA_Castel_di_Decima_R1016
11.71405566
IA_Boville_Ernica_R1021
12.03535625
LA_Celio_R36
12.08194107
Baleares
12.08642627
O_Italian
12.12151393
TSI30
12.46485459
IA_Latin_Ardea_R851
12.76096000
Galicia
13.43684859
Extremadura
14.08415422
Portuguese
14.15437388
Tuscan
14.17464638
Albanian_North
14.26640459
Albanian_Kosovo
15.65916026
Murcia
15.83631902
Imperial_Monterotondo_R1549
16.08680515
Castilla_Y_Leon
16.25876994
LA_S_Ercolano_Necropolis_Ostia_R118
16.41527642
Cataluna
16.49286816
French
Distance to:
IA_Protovillanovan_Martinsicuro_R1
7.11862346
O_Italian
7.18894985
N_Italian
7.51609606
Albanian_North
7.56863924
IA_Civitavecchia_R474
7.76251248
Albanian_Kosovo
8.94220890
LA_Celio_R36
9.42569891
TSI30
10.32626263
North_Italian
10.61324644
Tuscan
12.67284893
C_Italian
12.72463359
Imperial_Monterotondo_R1549
13.02779337
MA_Tivoli_Palazzo_Cianti_R970
13.46066492
LA_S_Ercolano_Necropolis_Ostia_R121
13.87592880
MA_Villa_Magna_R60
14.10656230
LA_S_Ercolano_Necropolis_Ostia_R118
14.10738814
IA_Veio_Grotta_Gramiccia_R1015
14.12451061
IA_Boville_Ernica_R1021
14.28975507
IA_Civitavecchia_R473
14.31892454
IA_Castel_di_Decima_R1016
15.04893352
Bulgarians
15.06029880
Romanians
15.41974708
Bulgarian
15.78121351
IA_Latin_Ardea_R851
15.89171168
MA_Villa_Magna_R1290
16.03948877
Imperial_Civitanova_Marche_R836
Distance to:
IA_Latin_Prenestina_Selicata_R437
4.59913035
S_Italian_Sicilian
4.83577295
Sicilian
5.37071690
Imperial_Civitanova_Marche_R836
5.58436209
MA_Villa_Magna_R1290
5.75484144
MA_Villa_Magna_R65
5.92564764
MA_Tivoli_Palazzo_Cianti_R973
6.53716299
MA_Villa_Magna_R59
6.57532509
LA_S_Ercolano_Necropolis_Ostia_R118
6.62618291
C_Italian
8.68328855
LA_S_Ercolano_Necropolis_Ostia_R121
9.89564551
MA_Villa_Magna_R60
10.09640530
MA_Tivoli_Palazzo_Cianti_R970
10.16248001
Ashkenazi
10.49031935
Tuscan
10.64005169
Ashkenazy_Jews
11.10535456
LA_Celio_R36
11.26179382
Greek
11.34612709
Greek_Crete
11.40172794
Sephardic_Jews
11.72748055
TSI30
11.99572424
O_Italian
12.17614060
Imperial_Monterotondo_R1548
12.92229856
Morocco_Jews
13.00421086
MA_Villa_Magna_R57
13.37198938
Imperial_Monterotondo_R1549
Distance to:
IA_Latin_Ardea_R850
3.90799181
Greek_Crete
4.90446735
Imperial_Monterotondo_R1548
7.13377179
Ashkenazy_Jews
7.74058137
Sephardic_Jews
7.82175172
Ashkenazi
9.49243910
MA_Villa_Magna_R65
10.15725357
S_Italian_Sicilian
10.43784940
Sicilian
10.88449356
Greek_Cappadocia
11.74901272
MA_Villa_Magna_R59
11.86263040
Cypriots
11.99563671
MA_Tivoli_Palazzo_Cianti_R973
12.08694751
Nusayri_Turkey
12.19292418
Morocco_Jews
13.12759689
Crimean_Tatar_Coast
13.17106678
Turk_West_BlackSea
13.49063008
Turk_Central_West
13.55089296
MA_Villa_Magna_R1290
14.08757609
Imperial_Civitanova_Marche_R836
14.10277987
IA_Latin_Prenestina_Selicata_R437
14.16544387
Greek
14.43175665
Turk_Central_East
14.45064012
Turk_Anatolia
14.88196224
MA_Villa_Magna_R60
15.19421600
Turk_Southwest
The only one that I see is closest to Iberians is R435:
Distance to:
IA_Latin_Prenestina_Colombella_R435
7.26140482
Baleares
7.44595192
Galicia
7.98874208
Cataluna
8.99323635
IA_Latin_Ardea_R851
9.01121523
Spaniards
9.17724359
Extremadura
9.91413133
Castilla_Y_Leon
10.23676218
IA_Civitavecchia_R473
10.27070105
Portuguese
10.32665483
Spanish
10.44412754
French
10.63531852
Cantabria
10.68767982
IA_Civitavecchia_R474
10.82441684
IA_Boville_Ernica_R1021
10.98685578
IA_Veio_Grotta_Gramiccia_R1015
11.10933391
French
11.39798228
Murcia
11.42493764
IA_Castel_di_Decima_R1016
11.60238769
Valencia
11.86962510
Castilla_La_Mancha
12.09465584
North_Italian
12.27742644
N_Italian
12.63263235
Aragon
12.88846771
Andalucia
16.05179118
Canarias
Very interesting.
The Dodecad calculators usually gave better fits for Italians than Eurogenes did.
I get why my husband gets Ashkenazim in Dodecad as third best fit sometimes: he's close to 850, which is close to Crete, and the Ashkenazi Jews are also close to Crete.
my trentino cousin has had her #1 points lowered and number 10 added
1. Protovillanovia Martinsicuro (930 BC) ..... 4.445 - R1 -
Top 99% match vs all users
2. Central Roman (630 AD) ..... 5.549 - CL36 - ?
Top 99% match vs all users
3. Central Roman (590 AD) ..... 6.369 - SZ43 -
Top 99% match vs all users
4. Central Roman (590 AD) ..... 7.084 - SZ36 -
Top 99% match vs all users
5. Gallo-Roman (590 AD) ..... 7.479 - SZ28 - ?
Top 99% match vs all users
6. North Roman Warrior (590 AD) ..... 8.056 - NS3c - ?
Top 99% match vs all users
7. Tivoli Palace Late Renaissance (1650 AD) ..... 8.27 - R970 -
Top 99% match vs all users
8. Illyrian / Dalmatian (1200 BC) ..... 8.625 - I3313 -
Top 98% match vs all users
9. Scythian Southern Moldova (290 BC) ..... 8.921 - scy197b - ?
Top 99% match vs all users
10. Roman/Illyrian Celio Military Hospital (500 AD) ..... 9.056 - R36 -
Top 99% match vs all users
11. Scythian Southern Moldova (270 BC) ..... 9.109 - scy192 -
Top 99% match vs all users
.................................................. ............
R36
mtDNA: T1a1
Y-DNA: R-Z145
my cousin is mtdna T1a1e
Something more about R474
24. Celtiberian Mix Tribe Northern Spain (2300 BC) ..... 10.19 - I3238 -
Top
99
% match vs all users
49. Celtoiberian Outlier Roman Empire VP (100 AD) ..... 12.36 - R116 -
Top
99
% match vs all users
The 200 samples of R74 are the ones I have, except this one that I had never seen before.
166. Pre-Slav Medieval Poland (1100 AD) ..... 20.72 - PCA157_Mar6 - ?
Top
89
% match vs all users
Some features of R74
SNP: rs9939609 (https://www.snpedia.com/index.php/rs9939609) (TT) - Relevance:7.2
Lower risk of obesity and type-2 diabetes
SNP: gs156a (https://www.snpedia.com/index.php/gs156a) (Positive) - Relevance:5.0
Fast metabolism
SNP: rs2032582 (https://www.snpedia.com/index.php/rs2032582) (AA) - Relevance:1.7
Rare genotype, on a triallelic snp
SNP: rs17070145 (https://www.snpedia.com/index.php/rs17070145) (CC) - Relevance:0.8
Reduced memory abilities
SNP: rs4570625 (https://www.snpedia.com/index.php/rs4570625) (GG) - Relevance:0.7
Maybe: higher scores on anxiety-related personality traits; greater placebo response}}one study of (only) 25 people {{pmid|19052197
SNP: rs1426654 (https://www.snpedia.com/index.php/rs1426654) (AA) - Relevance:0.6
Probably light-skinned, european ancestry
SNP: rs1815739 (https://www.snpedia.com/index.php/rs1815739) (CC) - Relevance:0.6
Better performing muscles. likely sprinter.
SNP: rs334558 (https://www.snpedia.com/index.php/rs334558) (AA) - Relevance:0.5
Later onset of bipolar disorder
SNP: rs821616 (https://www.snpedia.com/index.php/rs821616) (AA) - Relevance:0.4
Cognitive decline in older women
SNP: rs12807809 (https://www.snpedia.com/index.php/rs12807809) (TT) - Relevance:0.3
Schizophrenia
SNP: rs1800860 (https://www.snpedia.com/index.php/rs1800860) (AG) - Relevance:0.3
10% smaller kidneys as newborns
SNP: rs182549 (https://www.snpedia.com/index.php/rs182549) (CC) - Relevance:0.2
Possibly lactose intolerant
SNP: rs10784502 (https://www.snpedia.com/index.php/rs10784502) (TT) - Relevance:0.2
Less intracranial volume?
SNP: rs1569723 (https://www.snpedia.com/index.php/rs1569723) (CC) - Relevance:0.2
Kawasaki disease
SNP: rs2802292 (https://www.snpedia.com/index.php/rs2802292) (GG) - Relevance:0.2
1.5x~2.7x more likely to live to 100.
SNP: rs4870044 (https://www.snpedia.com/index.php/rs4870044) (CC) - Relevance:0.2
Bone mineral density (spine)
SNP: rs7776725 (https://www.snpedia.com/index.php/rs7776725) (TT) - Relevance:0.2
Stronger bones
SNP: rs7183877 (https://www.snpedia.com/index.php/rs7183877) (CC) - Relevance:0.1
Blue eye color if part of blue eye color haplotype
SNP: rs8028689 (https://www.snpedia.com/index.php/rs8028689) (TT) - Relevance:0.1
Blue eye color if part of blue eye color haplotype
SNP: rs7816345 (https://www.snpedia.com/index.php/rs7816345) (CC) - Relevance:0.1
bigger breast size (normal in european)
SNP: rs13208776 (https://www.snpedia.com/index.php/rs13208776) (GG) - Relevance:0.1
Higher risk for generalized vitiligo
SNP: rs3923890 (https://www.snpedia.com/index.php/rs3923890) (AA) - Relevance:0.1
Lower social interaction
SNP: rs4778241 (https://www.snpedia.com/index.php/rs4778241) (AA) - Relevance:0.1
Usually brown eye color
SNP: rs35264875 (https://www.snpedia.com/index.php/rs35264875) (TT) - Relevance:0.1
Blonde hair color
SNP: rs885479 (https://www.snpedia.com/index.php/rs885479) (GG) - Relevance:0.1
Darker skin color
SNP: rs17001266 (https://www.snpedia.com/index.php/rs17001266) (TT) - Relevance:0.1
1.58x increased risk for schizophrenia in males
SNP: rs12416000 (https://www.snpedia.com/index.php/rs12416000) (GG) - Relevance:0.1
Homo sapiens gene (not neanderthal)
SNP: rs4085613 (https://www.snpedia.com/index.php/rs4085613) (TT) - Relevance:0.1
Psoriasis
SNP: rs6060373 (https://www.snpedia.com/index.php/rs6060373) (AA) - Relevance:0.1
Height
SNP: rs6088813 (https://www.snpedia.com/index.php/rs6088813) (AA) - Relevance:0.1
Height
SNP: rs572169 (https://www.snpedia.com/index.php/rs572169) (CC) - Relevance:0.1
Height
SNP: rs1007371 (https://www.snpedia.com/index.php/rs1007371) (TT) - Relevance:0.1
Rare genotype.
SNP: rs4552569 (https://www.snpedia.com/index.php/rs4552569) (CC) - Relevance:0.1
Ankylosing spondylitis
------------------------------------------------------
------------------------------------------------------
Something more about R473
R473
1. Girona Sant Julia de Ramis (1060 AD) ..... 7.925 - I10853 -
Top
99
% match vs all users
5. Carthago-Maghrebi Andalusia (1200 AD) ..... 9.525 - I7457 -
Top
99
% match vs all users
6. Bronze Age Spain Cogotas (1290 BC) ..... 10.11 - I12208 -
Top
99
% match vs all users
15. Bronze Age Spain Cogotas (1290 BC) ..... 10.98 - I12209 -
Top
99
% match vs all users
17. Early Medieval Andalusia (760 AD) ..... 11.16 - I3585 -
Top
97
% match vs all users
23. Visigoth Iberian Girona (550 AD) ..... 11.77 - I12034 -
Top
98
% match vs all users
52. Carthaginian Ibiza (270 BC) ..... 14.1 - MS10614 - ?
Top
99
% match vs all users
88. Bell Beaker France (2300 BC) ..... 16.08 - I1388 -
Top
99
% match vs all users
109. Tartessian Archaic Andalusia (600 BC) ..... 17.41 - I12171 -
Top
99
% match vs all users
200. North Alpine Bronze Age (1790 BC) ..... 24.21 - AITI_78 -
Top
33
% match vs all users
SNP: rs182549 (https://www.snpedia.com/index.php/rs182549) (CC) - Relevance:0.2
Possibly lactose intolerant
SNP: rs900400 (https://www.snpedia.com/index.php/rs900400) (TC) - Relevance:0.2
Birth weight
SNP: rs12913832 (https://www.snpedia.com/index.php/rs12913832) (AG) - Relevance:1.0
Brown eye color
SNP: rs16891982 (https://www.snpedia.com/index.php/rs16891982) (GG) - Relevance:0.8
Generally european; light skin; possibly an increased risk of melanoma}}this snp is associated with skin, hair, and eye colour, and risk of melanoma. individuals with the g;g genotype are generally of european descent and have fair skin.{{pmid auto|pmid=19710684|oa=1
SNP: rs4570625 (https://www.snpedia.com/index.php/rs4570625) (GG) - Relevance:0.7
Maybe: higher scores on anxiety-related personality traits; greater placebo response}}one study of (only) 25 people {{pmid|19052197
SNP: rs12970134 (https://www.snpedia.com/index.php/rs12970134) (AA) - Relevance:0.6
Adult waist 1.8cm larger on average
SNP: rs9652490 (https://www.snpedia.com/index.php/rs9652490) (AA) - Relevance:0.6
~2x increased risk for parkinson's disease, and, essential tremor
SNP: rs1426654 (https://www.snpedia.com/index.php/rs1426654) (AA) - Relevance:0.6
Probably light-skinned, european ancestry
SNP: rs7216389 (https://www.snpedia.com/index.php/rs7216389) (TT) - Relevance:0.6
1.5x increased risk for childhood asthma.
SNP: rs334558 (https://www.snpedia.com/index.php/rs334558) (AA) - Relevance:0.5
Later onset of bipolar disorder
SNP: rs4307059 (https://www.snpedia.com/index.php/rs4307059) (CC) - Relevance:0.5
Reduced autism risk
SNP: rs7647305 (https://www.snpedia.com/index.php/rs7647305) (TC) - Relevance:0.5
Obesity risk
SNP: rs10246939 (https://www.snpedia.com/index.php/rs10246939) (CC) - Relevance:0.4
Can taste bitter
SNP: rs2494732 (https://www.snpedia.com/index.php/rs2494732) (TT) - Relevance:0.4
Lower odds of psychosis
SNP: rs7495174 (https://www.snpedia.com/index.php/rs7495174) (AA) - Relevance:0.3
Blue/gray eyes more likely
SNP: rs610604 (https://www.snpedia.com/index.php/rs610604) (TT) - Relevance:0.2
Psoriasis
SNP: rs6932590 (https://www.snpedia.com/index.php/rs6932590) (TT) - Relevance:0.2
1.1x increased risk for schizophrenia
SNP: rs6435862 (https://www.snpedia.com/index.php/rs6435862) (GG) - Relevance:0.2
2.8x higher risk of aggressive neuroblastoma
SNP: rs12896399 (https://www.snpedia.com/index.php/rs12896399) (GG) - Relevance:0.2
Light hair color
SNP: rs13316193 (https://www.snpedia.com/index.php/rs13316193) (TT) - Relevance:0.2
Slight evidence indicating decreased oxtr expression, higher risk of depression, higher risk of autism spectrum disorder.}}{{pmid|22357335}} the association between oxytocin receptor gene polymorphism (oxtr) and trait empathy.{{pmid|17893705}} association between the oxytocin receptor (oxtr) gene and autism: relationship to vineland adaptive behavior scales and cognition.{{pmid|20346758}} genetics of human social behavior.{{pmid|22285934}} oxytocin and social affiliation in humans.{{pmid|23325323
SNP: rs6812193 (https://www.snpedia.com/index.php/rs6812193) (CC) - Relevance:0.2
Slightly higher risk of developing parkinson's disease for caucasians
SNP: rs2069442 (https://www.snpedia.com/index.php/rs2069442) (GG) - Relevance:0.2
1.9x increased risk of alzheimer's
SNP: rs900400 (https://www.snpedia.com/index.php/rs900400) (TC) - Relevance:0.2
Birth weight
SNP: rs182549 (https://www.snpedia.com/index.php/rs182549) (CC) - Relevance:0.2
Possibly lactose intolerant
SNP: rs10050860 (https://www.snpedia.com/index.php/rs10050860) (CT) - Relevance:0.2
0.71x lower risk for ankylosing spondylitis.
SNP: rs1569723 (https://www.snpedia.com/index.php/rs1569723) (CC) - Relevance:0.2
Kawasaki disease
SNP: rs6604026 (https://www.snpedia.com/index.php/rs6604026) (TC) - Relevance:0.2
1.15x risk of multiple sclerosis
SNP: rs3743930 (https://www.snpedia.com/index.php/rs3743930) (CC) - Relevance:0.2
Some reports of familial mediterranean fever
SNP: rs7776725 (https://www.snpedia.com/index.php/rs7776725) (TT) - Relevance:0.2
Stronger bones
SNP: rs2327832 (https://www.snpedia.com/index.php/rs2327832) (AA) - Relevance:0.1
Celiac disease
SNP: rs326 (https://www.snpedia.com/index.php/rs326) (AA) - Relevance:0.1
Lower hdl cholesterol
SNP: rs17482753 (https://www.snpedia.com/index.php/rs17482753) (GT) - Relevance:0.1
Elevated triglycerides
SNP: rs10958409 (https://www.snpedia.com/index.php/rs10958409) (AA) - Relevance:0.1
1.79x increased aneurysm risk
SNP: rs7183877 (https://www.snpedia.com/index.php/rs7183877) (CC) - Relevance:0.1
Blue eye color if part of blue eye color haplotype
SNP: rs8028689 (https://www.snpedia.com/index.php/rs8028689) (TT) - Relevance:0.1
Blue eye color if part of blue eye color haplotype
SNP: rs3745516 (https://www.snpedia.com/index.php/rs3745516) (AG) - Relevance:0.1
Slightly increased risk of developing primary biliary cirrhosis
SNP: rs394581 (https://www.snpedia.com/index.php/rs394581) (CC) - Relevance:0.1
Higher risk of ra in african and hispanic populations
SNP: rs7816345 (https://www.snpedia.com/index.php/rs7816345) (CC) - Relevance:0.1
bigger breast size (normal in european)
SNP: rs3753841 (https://www.snpedia.com/index.php/rs3753841) (AA) - Relevance:0.1
Glaucoma (primary open-angle)
SNP: rs4236601 (https://www.snpedia.com/index.php/rs4236601) (GG) - Relevance:0.1
Glaucoma (primary open-angle)
SNP: rs3923890 (https://www.snpedia.com/index.php/rs3923890) (AA) - Relevance:0.1
Lower social interaction
SNP: rs2839471 (https://www.snpedia.com/index.php/rs2839471) (TT) - Relevance:0.1
1.6x increased risk for high myopia in japanese (but not chinese)
SNP: rs2024513 (https://www.snpedia.com/index.php/rs2024513) (AA) - Relevance:0.1
1.7x higher risk for schizophrenia (among han chinese)
SNP: rs1635852 (https://www.snpedia.com/index.php/rs1635852) (TC) - Relevance:0.1
Height
SNP: rs6700998 (https://www.snpedia.com/index.php/rs6700998) (GG) - Relevance:0.1
0.83x reduced risk of atopic dermatitis.
SNP: rs1143674 (https://www.snpedia.com/index.php/rs1143674) (AA) - Relevance:0.1
1.3x increased autism riskSNP: rs9883204 (https://www.snpedia.com/index.php/rs9883204) (CC) - Relevance:0.1
SNP: rs12416000 (https://www.snpedia.com/index.php/rs12416000) (GG) - Relevance:0.1
Homo sapiens gene (not neanderthal)
SNP: rs7078160 (https://www.snpedia.com/index.php/rs7078160) (GG) - Relevance:0.1
Orofacial clefts
SNP: rs7107418 (https://www.snpedia.com/index.php/rs7107418) (AG) - Relevance:0.1
Less likely to think cilantro tastes like soap
SNP: rs6591536 (https://www.snpedia.com/index.php/rs6591536) (GA) - Relevance:0.1
More able to detect -ionone (floral) fragrance
SNP: rs34516635 (https://www.snpedia.com/index.php/rs34516635) (GG) - Relevance:0.1
Less longevity for ashkenazi jewish women.
SNP: rs17646946 (https://www.snpedia.com/index.php/rs17646946) (AA) - Relevance:0.1
Straighter curl
SNP: rs11803731 (https://www.snpedia.com/index.php/rs11803731) (TT) - Relevance:0.1
Curlier hair
SNP: rs6570507 (https://www.snpedia.com/index.php/rs6570507) (AA) - Relevance:0.1
Height
SNP: rs3748816 (https://www.snpedia.com/index.php/rs3748816) (AA) - Relevance:0.1
Celiac diseaseSNP: rs7561317 (https://www.snpedia.com/index.php/rs7561317) (GG) - Relevance:0.1
WeightSNP: rs572169 (https://www.snpedia.com/index.php/rs572169) (TT) - Relevance:0.1
Height
SNP: rs6859 (https://www.snpedia.com/index.php/rs6859) (AG) - Relevance:0.1
Alzheimer's diseaseSNP: rs3126085 (https://www.snpedia.com/index.php/rs3126085) (GG) - Relevance:0.1
Atopic dermatitisSNP: rs4085613 (https://www.snpedia.com/index.php/rs4085613) (TG) - Relevance:0.1
PsoriasisSNP: rs7522462 (https://www.snpedia.com/index.php/rs7522462) (GG) - Relevance:0.1
Multiple sclerosisSNP: rs11584383 (https://www.snpedia.com/index.php/rs11584383) (TT) - Relevance:0.1
Crohn's diseaseSNP: rs1518111 (https://www.snpedia.com/index.php/rs1518111) (TT) - Relevance:0.1
Behcet's disease
SNP: rs229527 (https://www.snpedia.com/index.php/rs229527) (AA) - Relevance:0.0
Vitiligo
My new results:
5. Girona Sant Julia de Ramis (880 AD) ..... 9.193 - I10895 -
Top
99
% match vs all users
10. Girona Sant Julia de Ramis (1060 AD) ..... 10.71 - I10852
Top
99
% match vs all users
18. Girona Sant Julia de Ramis (1060 AD) ..... 11.65 - I10851
Top
99
% match vs all users
38. Girona Sant Julia de Ramis (1060 AD) ..... 13.64 - I10853
Top
97
% match vs all users
70. Girona Sant Julia de Ramis (990 AD) ..... 15.05 - I10892 -
Top
98
% match vs all users
91. Tartessian Archaic Andalusia (600 BC) ..... 16.35 - I12171 -
Top
99
% match vs all users
107. Roman Villa Tarragona (350 AD) ..... 17.04 - I6490
Top
99
% match vs all users
118. Early Medieval Iberia Granada (500 AD) ..... 17.58 - I3981 -
Top
93
% match vs all users
128. Tartessian Archaic Andalusia (600 BC) ..... 18.28 - I12561 -
op
99
% match vs all users
153. Girona Sant Julia de Ramis (1115 AD) ..... 19.49 - I10897
Top
99
% match vs all users
92. Roman Villa Granada Spain (300 AD) ..... 16.45 - I3982 -
Top
95% match vs all users
Me
https://1.bp.blogspot.com/-dvzkCW9zscg/XhIxTbnmBII/AAAAAAAAB_g/LWXwBKS7rccbqOSCXZcw8lLx0EMnqPtAQCLcBGAsYHQ/s1600/MineWheel.JPEG
https://1.bp.blogspot.com/-jyk9S9Vkg-8/XhIw80-FnJI/AAAAAAAAB-s/b1bOishEEq0yQY8RwbjiHCQjmGsIZxLhgCLcBGAsYHQ/s1600/ETRUSCANcIVITAVECCHIAR474.JPEG
https://1.bp.blogspot.com/-JuDAuZEFDrM/XhIw6ZVio1I/AAAAAAAAB-o/Mue2RsNu_B0I0RcBUJ1UohesWoC4Dr6swCLcBGAsYHQ/s1600/ETRUSCANcivitavecchiaR473.JPEG
https://1.bp.blogspot.com/-dWrmECSRXcc/XhIxCsWhRhI/AAAAAAAAB-4/lI0KYzuu4_Mi97hFeNs56llpxsx916bEACLcBGAsYHQ/s1600/hISPANOromanTaifaValenciaI12644.jpeg
Me
https://1.bp.blogspot.com/-dvzkCW9zscg/XhIxTbnmBII/AAAAAAAAB_g/LWXwBKS7rccbqOSCXZcw8lLx0EMnqPtAQCLcBGAsYHQ/s1600/MineWheel.JPEG
https://1.bp.blogspot.com/-jyk9S9Vkg-8/XhIw80-FnJI/AAAAAAAAB-s/b1bOishEEq0yQY8RwbjiHCQjmGsIZxLhgCLcBGAsYHQ/s1600/ETRUSCANcIVITAVECCHIAR474.JPEG
https://1.bp.blogspot.com/-JuDAuZEFDrM/XhIw6ZVio1I/AAAAAAAAB-o/Mue2RsNu_B0I0RcBUJ1UohesWoC4Dr6swCLcBGAsYHQ/s1600/ETRUSCANcivitavecchiaR473.JPEG
https://1.bp.blogspot.com/-dWrmECSRXcc/XhIxCsWhRhI/AAAAAAAAB-4/lI0KYzuu4_Mi97hFeNs56llpxsx916bEACLcBGAsYHQ/s1600/hISPANOromanTaifaValenciaI12644.jpeg
You know who it is.
https://1.bp.blogspot.com/-nzBnxgS625c/XhIw3n2rJZI/AAAAAAAAB-k/xovJ0mFKZ9Idvt7IfnJN9OJA_WKdRcUlACLcBGAsYHQ/s1600/DNAlandMINE.JPEG
These are the ancestral populations that make up your ethnicity, all of them grouped on a pie chart. See my resumed most recent MTA results:
Your closest Ancient populations...
https://i.imgur.com/aFhuKll.jpghttps://i.imgur.com/E8FlDDr.jpg
Cheers:)
Viking + Celt (2.149)
Viking Danish + Vandal (3.46)
Celt (5.432)
Vandal (5.617)
Saxon (5.708)
Viking Danish (6.759)
Viking (7.302)
https://i.imgur.com/Es28KKx.png
1170711708
I get so much Roman mostly for the samples from Hungary.....how we know they are Roman? At that time borders were protected by soldiers from Illyricani.
Sent from my iPhone using Eupedia Forum (http://r.tapatalk.com/byo?rid=89698)
Mine11711
Sent from my SM-J730F using Eupedia Forum mobile app (http://r.tapatalk.com/byo?rid=89698)
1170711708
I get so much Roman mostly for the samples from Hungary.....how we know they are Roman? At that time borders were protected by soldiers from Illyricani.
Sent from my iPhone using Eupedia Forum (http://r.tapatalk.com/byo?rid=89698)
I'm not sure who they were. All we know is that Szolad was part of an area in Pannonia which remained "Romanized" for a long time, and then was also under Byzantine rule for a time.
"Pannonia (https://en.wikipedia.org/wiki/Pannonia), a province of the Western Roman empire (https://en.wikipedia.org/wiki/Western_Roman_empire), was devastated by the barbarian invasions (Huns (https://en.wikipedia.org/wiki/Huns), Gepids (https://en.wikipedia.org/wiki/Gepids), Avars, etc.). Only a few thousand Romanized Pannonians survived the onslaughts,[dubious (https://en.wikipedia.org/wiki/Wikipedia:Accuracy_dispute#Disputed_statement) – discuss (https://en.wikipedia.org/wiki/Talk:Keszthely_culture)] mainly around Lake Pelso (now lake Balaton (https://en.wikipedia.org/wiki/Lake_Balaton)) in small fortified villages such as Keszthely.
https://upload.wikimedia.org/wikipedia/commons/thumb/b/b1/Roman_provinces_of_Illyricum%2C_Macedonia%2C_Dacia %2C_Moesia%2C_Pannonia_and_Thracia.jpg/300px-Roman_provinces_of_Illyricum%2C_Macedonia%2C_Dacia %2C_Moesia%2C_Pannonia_and_Thracia.jpg (https://en.wikipedia.org/wiki/File:Roman_provinces_of_Illyricum,_Macedonia,_Daci a,_Moesia,_Pannonia_and_Thracia.jpg)
Roman Pannonia and surrounding areas
The Romanic population from Pannonia (https://en.wikipedia.org/wiki/Pannonia) created the Keszthely culture that evolved mainly during the 6th-7th centuries. Its artifacts were made in the workshops of Roman origin located mainly in the fortified settlements of Keszthely-Fenékpuszta and Sopianae (modern Pécs (https://en.wikipedia.org/wiki/P%C3%A9cs)). "
"Under the Avars, the Roman castle of Fenékpuszta near Keszthely and the surroundings were not occupied, so the original Romanized inhabitants lived on undisturbed. They paid food and artisan goods for peace from the Avars. After 568 new Christian (https://en.wikipedia.org/wiki/Christians) Romanized Pannonians arrived here, probably from the destroyed Aquincum (https://en.wikipedia.org/wiki/Aquincum) (modern Budapest). The Keszthely-Fenékpuszta fortress became the centre of a 30 km diameter area, where the people buried their dead adorned with jewellery and clothing of Byzantine origin. They rebuilt the fortress basilica, where the principals of the community were buried, while their relatives found their final resting places next to the nearby horreum (granary). In 626, the Avars were seriously defeated under Constantinople (https://en.wikipedia.org/wiki/Constantinople), which was followed by a civil war. The leaders of the Keszthely-Fenékpuszta community had supported those who were later defeated. That was why the Avars besieged and then destroyed the fortress of Fenékpuszta. They made the rest of the Romanized population move into the territory of the town centre. The Christian Romanized population was subjected to military suppression. The cemeteries of the 7th and 8th centuries entombed both Avars and Christians, but they were buried separately. The different religions did not allow them to mix even after death. The Christian Romanized populace, which spoke its own Romance Pannonian language (https://en.wikipedia.org/wiki/Pannonian_Romance), was cut from the outer world and created a unique, characteristic material culture, which we know from the artifacts of the cemeteries near Keszthely. These finds have been termed Keszthely culture. At that time, Keszthely was the center of the Pannonian region, because the area of Lake Balaton was crossed by roads connecting the Danube (https://en.wikipedia.org/wiki/Danube) and the Mediterranean (https://en.wikipedia.org/wiki/Mediterranean)."
https://en.wikipedia.org/wiki/Keszthely_culture
The Langobards were late arrivals and stayed for only one generation.
The Byzantines didn't arrive until after the date of these burials, but perhaps the arrivals after 568 were from further south rather than Budapest?
It's undeniable that some of the samples are Greek like, and even island Greek like, while others are Tuscan like.
I'm very close to SZ36 and I'm part Tuscan. Stuvane is also very close to him and he's from the Romagna. I'm not surprised that Albanians are getting hits with them. They're coming up on my calculator results quite often.
My results:
1. Central Roman (590 AD) ..... 3.614 - SZ43 -
Top
99% match vs all users
2. Central Roman (630 AD) ..... 4.508 - CL36 - ?
Top
99% match vs all users
3. Tuscan Medieval Villa Magna Italy (905 AD) ..... 5.964 - R60 -
Top
99% match vs all users
4. Protovillanovia Martinsicuro (930 BC) ..... 6.241 - R1 -
Top
99% match vs all users
5. Central Roman (590 AD) ..... 6.771 - SZ36 -
Top
99% match vs all users
The two Szolad samples to which I'm closest are a mixture of TSI Tuscan, IBS Spanish, and a minority British component. I wish they'd used something other than 1000 Genomes, but it's undeniable some of them are extremely close to modern Italians.
Pretty close to Albanians, as well it appears.
Were the Avars Slavs? Or a Slavicized group? From what I've read, the Longobards didn't stay in Pannonia very long but given its location, it's not surprising that different groups passed through the area.
These are the ancestral populations that make up your ethnicity, all of them grouped on a pie chart. See my resumed most recent MTA results:
Your closest Ancient populations...
https://i.imgur.com/aFhuKll.jpg
https://i.imgur.com/E8FlDDr.jpg
Cheers:)
It is not possible to get rid of this fresh
mine
https://1.bp.blogspot.com/-wumi1O8NdFM/XhIyRl_p5zI/AAAAAAAACAE/X3xAaKFqGOcyfwu257bn__65qQTbfNShQCLcBGAsYHQ/s640/meCOMPOSICION.JPEG
Mine
https://1.bp.blogspot.com/-dvzkCW9zscg/XhIxTbnmBII/AAAAAAAAB_g/LWXwBKS7rccbqOSCXZcw8lLx0EMnqPtAQCLcBGAsYHQ/s640/MineWheel.JPEG
I have reloaded and I get this
https://1.bp.blogspot.com/-zwx95svoABM/XhM4r0VRSPI/AAAAAAAACAQ/uHHJSKw2QBo-urUWLscZ4mpl3ygZtmDJgCLcBGAsYHQ/s1600/minewheel2020.jpeg
https://1.bp.blogspot.com/-NASefykuY1Y/XhIxGQ_8KPI/AAAAAAAAB-8/Ypz9m5OKLQMPf3Ci6hwSo_9-_b5iItjqwCLcBGAsYHQ/s640/IBERIANelArgarBronzeAGEI8136.JPEG
https://1.bp.blogspot.com/-4lc07xABwhk/XhIwwj1XbcI/AAAAAAAAB-c/_-w0eld2bCQGOC6M0weISZ_KyeqBfT6zwCLcBGAsYHQ/s640/BronzeAgeLomadelPuercoI7162.JPEG
https://1.bp.blogspot.com/-dTO1jQaOok4/XhIwzST9imI/AAAAAAAAB-g/va31EYqlF-IxFaVCcXI_j_4m_vnbAgBUwCLcBGAsYHQ/s640/BronzeAgeSpainCogotasI12208.JPEG
https://1.bp.blogspot.com/-X7CK0IFHfy0/XhIxVraRGKI/AAAAAAAAB_k/lC3dzyoHqg0SEsSStJUSZ11zORF3B315gCLcBGAsYHQ/s640/VasconesTribeI12879.JPEG
It would be necessary to see the wheel of a modern Basque.
Compressed values in older Iberians gain more ground to the Iberian until they reach the current era, some new contributions, others that disappear, many nomenclatures for basically the same, I don't know very well how to interpret it.
I'm not sure who they were. All we know is that Szolad was part of an area in Pannonia which remained "Romanized" for a long time, and then was also under Byzantine rule for a time.
"Pannonia (https://en.wikipedia.org/wiki/Pannonia), a province of the Western Roman empire (https://en.wikipedia.org/wiki/Western_Roman_empire), was devastated by the barbarian invasions (Huns (https://en.wikipedia.org/wiki/Huns), Gepids (https://en.wikipedia.org/wiki/Gepids), Avars, etc.). Only a few thousand Romanized Pannonians survived the onslaughts,[dubious (https://en.wikipedia.org/wiki/Wikipedia:Accuracy_dispute#Disputed_statement) – discuss (https://en.wikipedia.org/wiki/Talk:Keszthely_culture)] mainly around Lake Pelso (now lake Balaton (https://en.wikipedia.org/wiki/Lake_Balaton)) in small fortified villages such as Keszthely.
https://upload.wikimedia.org/wikipedia/commons/thumb/b/b1/Roman_provinces_of_Illyricum%2C_Macedonia%2C_Dacia %2C_Moesia%2C_Pannonia_and_Thracia.jpg/300px-Roman_provinces_of_Illyricum%2C_Macedonia%2C_Dacia %2C_Moesia%2C_Pannonia_and_Thracia.jpg (https://en.wikipedia.org/wiki/File:Roman_provinces_of_Illyricum,_Macedonia,_Daci a,_Moesia,_Pannonia_and_Thracia.jpg)
Roman Pannonia and surrounding areas
The Romanic population from Pannonia (https://en.wikipedia.org/wiki/Pannonia) created the Keszthely culture that evolved mainly during the 6th-7th centuries. Its artifacts were made in the workshops of Roman origin located mainly in the fortified settlements of Keszthely-Fenékpuszta and Sopianae (modern Pécs (https://en.wikipedia.org/wiki/P%C3%A9cs)). "
"Under the Avars, the Roman castle of Fenékpuszta near Keszthely and the surroundings were not occupied, so the original Romanized inhabitants lived on undisturbed. They paid food and artisan goods for peace from the Avars. After 568 new Christian (https://en.wikipedia.org/wiki/Christians) Romanized Pannonians arrived here, probably from the destroyed Aquincum (https://en.wikipedia.org/wiki/Aquincum) (modern Budapest). The Keszthely-Fenékpuszta fortress became the centre of a 30 km diameter area, where the people buried their dead adorned with jewellery and clothing of Byzantine origin. They rebuilt the fortress basilica, where the principals of the community were buried, while their relatives found their final resting places next to the nearby horreum (granary). In 626, the Avars were seriously defeated under Constantinople (https://en.wikipedia.org/wiki/Constantinople), which was followed by a civil war. The leaders of the Keszthely-Fenékpuszta community had supported those who were later defeated. That was why the Avars besieged and then destroyed the fortress of Fenékpuszta. They made the rest of the Romanized population move into the territory of the town centre. The Christian Romanized population was subjected to military suppression. The cemeteries of the 7th and 8th centuries entombed both Avars and Christians, but they were buried separately. The different religions did not allow them to mix even after death. The Christian Romanized populace, which spoke its own Romance Pannonian language (https://en.wikipedia.org/wiki/Pannonian_Romance), was cut from the outer world and created a unique, characteristic material culture, which we know from the artifacts of the cemeteries near Keszthely. These finds have been termed Keszthely culture. At that time, Keszthely was the center of the Pannonian region, because the area of Lake Balaton was crossed by roads connecting the Danube (https://en.wikipedia.org/wiki/Danube) and the Mediterranean (https://en.wikipedia.org/wiki/Mediterranean)."
https://en.wikipedia.org/wiki/Keszthely_culture
The Langobards were late arrivals and stayed for only one generation.
The Byzantines didn't arrive until after the date of these burials, but perhaps the arrivals after 568 were from further south rather than Budapest?
It's undeniable that some of the samples are Greek like, and even island Greek like, while others are Tuscan like.
I'm very close to SZ36 and I'm part Tuscan. Stuvane is also very close to him and he's from the Romagna. I'm not surprised that Albanians are getting hits with them. They're coming up on my calculator results quite often.
My results:
1. Central Roman (590 AD) ..... 3.614 - SZ43 -
Top
99% match vs all users
2. Central Roman (630 AD) ..... 4.508 - CL36 - ?
Top
99% match vs all users
3. Tuscan Medieval Villa Magna Italy (905 AD) ..... 5.964 - R60 -
Top
99% match vs all users
4. Protovillanovia Martinsicuro (930 BC) ..... 6.241 - R1 -
Top
99% match vs all users
5. Central Roman (590 AD) ..... 6.771 - SZ36 -
Top
99% match vs all users
The two Szolad samples to which I'm closest are a mixture of TSI Tuscan, IBS Spanish, and a minority British component. I wish they'd used something other than 1000 Genomes, but it's undeniable some of them are extremely close to modern Italians.
Pretty close to Albanians, as well it appears.
11713
The Vlachs (Aromanian) large presence in South Albanian probably explain my strong connection to these samples, but I am not sure how to explain yours.? Can you shed some light on that? I think is very interesting?
Sent from my iPhone using Eupedia Forum (http://r.tapatalk.com/byo?rid=89698)
11713
The Vlachs (Aromanian) large presence in South Albanian probably explain my strong connection to these samples, but I am not sure how to explain yours.? Can you shed some light on that? I think is very interesting?
Sent from my iPhone using Eupedia Forum (http://r.tapatalk.com/byo?rid=89698)
It isn't at all easy to answer, Blevins.
Two hypotheses turn around my head or they have been proposed to me: we are talking about groups of individuals of mixed origin more or less recent in historical age (mediterranean + continental = i.e. Romans assimilated to the local Pannonian and / or Lombard populations merged with Romans / provincials ), or it must be assumed that in some areas of continental Europe inhabited local populations whose ancestral quotas previously inherited - and before mixing completely with Germanic or Slavic populations - were completely similar to those of the autosomal of a current northern/central Italian.
Needless to deny that this second hypothesis would be extremely interesting to investigate.
It isn't at all easy to answer, Blevins.
Two hypotheses turn around my head or they have been proposed to me: we are talking about groups of individuals of mixed origin more or less recent in historical age (mediterranean + continental = i.e. Romans assimilated to the local Pannonian and / or Lombard populations merged with Romans / provincials ), or it must be assumed that in some areas of continental Europe inhabited local populations whose ancestral quotas previously inherited - and before mixing completely with Germanic or Slavic populations - were completely similar to those of the autosomal of a current northern/central Italian.
Needless to deny that this second hypothesis would be extremely interesting to investigate.
I bet on your hypothesis
https://1.bp.blogspot.com/-a0IC76KhBFw/XhNcy7A1H8I/AAAAAAAACAc/LFX_Nk-gqb8EWJRvnEPxP4p-76wndTeSwCLcBGAsYHQ/s1600/lliryandamlamtianname.jpeg
https://1.bp.blogspot.com/-ss19xBBtzl8/XhNkRUkKbXI/AAAAAAAACCY/uE3bIadwQeM-siITKsvffYaOtvFECWdbwCLcBGAsYHQ/s1600/IBERIA1.JPEG
https://1.bp.blogspot.com/-lgEQEuW10CI/XhNkAUo1-hI/AAAAAAAACB8/UabG_d1Ki6QbzoPmteKlBcEMdRt15USBwCLcBGAsYHQ/s1600/ironage.jpeg
https://1.bp.blogspot.com/-aRvVZRyjFXw/XhNkUAMo1mI/AAAAAAAACCg/c9dJibZGUMISNCg0ARWZZJAWuHqYNUdUACLcBGAsYHQ/s1600/IBERIA2.JPEG
https://1.bp.blogspot.com/-ttqTiiJit3c/XhNkadq0_8I/AAAAAAAACCo/kY12N1tUsA0jUfGQ0TG0GwnmWS27wBMggCLcBGAsYHQ/s1600/IBERIA4.JPEG
https://1.bp.blogspot.com/-TLa-RY-a0es/XhNjJxnxsaI/AAAAAAAACBA/w_g9lcWllTIQoY88_xANcf2KIsUVCHFKACLcBGAsYHQ/s1600/illyrio75.jpeg
I bet on your hypothesis
https://1.bp.blogspot.com/-a0IC76KhBFw/XhNcy7A1H8I/AAAAAAAACAc/LFX_Nk-gqb8EWJRvnEPxP4p-76wndTeSwCLcBGAsYHQ/s1600/lliryandamlamtianname.jpeg
https://1.bp.blogspot.com/-ss19xBBtzl8/XhNkRUkKbXI/AAAAAAAACCY/uE3bIadwQeM-siITKsvffYaOtvFECWdbwCLcBGAsYHQ/s1600/IBERIA1.JPEG
https://1.bp.blogspot.com/-lgEQEuW10CI/XhNkAUo1-hI/AAAAAAAACB8/UabG_d1Ki6QbzoPmteKlBcEMdRt15USBwCLcBGAsYHQ/s1600/ironage.jpeg
https://1.bp.blogspot.com/-aRvVZRyjFXw/XhNkUAMo1mI/AAAAAAAACCg/c9dJibZGUMISNCg0ARWZZJAWuHqYNUdUACLcBGAsYHQ/s1600/IBERIA2.JPEG
https://1.bp.blogspot.com/-ttqTiiJit3c/XhNkadq0_8I/AAAAAAAACCo/kY12N1tUsA0jUfGQ0TG0GwnmWS27wBMggCLcBGAsYHQ/s1600/IBERIA4.JPEG
https://1.bp.blogspot.com/-TLa-RY-a0es/XhNjJxnxsaI/AAAAAAAACBA/w_g9lcWllTIQoY88_xANcf2KIsUVCHFKACLcBGAsYHQ/s1600/
[email protected],
I still can't put my hand on the fire, but this persistent and common occurrence in our timelines of Iberian, Italic / Etruscan and Illyrian individuals make me suspect that in protohistoric Europe - at least in the middle continental area - fairly homogeneous populations had originated
11716
Sent from my SM-J730F using Eupedia Forum mobile app (http://r.tapatalk.com/byo?rid=89698)
It isn't at all easy to answer, Blevins.
Two hypotheses turn around my head or they have been proposed to me: we are talking about groups of individuals of mixed origin more or less recent in historical age (mediterranean + continental = i.e. Romans assimilated to the local Pannonian and / or Lombard populations merged with Romans / provincials ), or it must be assumed that in some areas of continental Europe inhabited local populations whose ancestral quotas previously inherited - and before mixing completely with Germanic or Slavic populations - were completely similar to those of the autosomal of a current northern/central Italian.
Needless to deny that this second hypothesis would be extremely interesting to investigate.
That's it in a nutshell. :)
I don't know if even more samples will clear it up.
11713
The Vlachs (Aromanian) large presence in South Albanian probably explain my strong connection to these samples, but I am not sure how to explain yours.? Can you shed some light on that? I think is very interesting?
Sent from my iPhone using Eupedia Forum (http://r.tapatalk.com/byo?rid=89698)
I agree with Stuvane as to the options.
I also agree that it may be that the steppe admixed populations which were in central Europe, the northern Balkans, and also went into Italy and Iberia were pretty similar. However, we have in Szolad some definitely "Greek like" even Island Greek like samples, so these were, it would seem to me, from the "colonization" period, or they arrived afterwards, but still before the conquest by the Byzantines going by the dates. Whether there were also arrivals from parts of the Italian peninsula I have no idea.
I can also tell you that based on not just mytrueancestry but the gedmatch calculators, I'm closer to the Illyrian/Dalmatian samples and Scythian Moldova samples than I am to the vast majority of Imperial samples. That's been a big surprise.
As for the Vlachs, you would know much more about that than I do. I can tell you, though, that the Albanians who show up on my lists at the gedmatch thread are, first, Kosovans, and second, Albania north.
Other northern and central Italians may get different results.
I share more cm and similarity with Illyrian samples than Thracian(despite getting this in closest). Not sure what their algorithms are. Here are my updated results:
https://i.postimg.cc/zv7BXYtx/mag1.png
https://i.postimg.cc/nrk21Mrp/time.png
https://i.postimg.cc/y6pCBNnw/mag2.png
Romans- 43.6%
Hellenic Romans- 12.1%
Roman Hispania- 10.2%
Ancient Greek- 7.98%
Illyrian- 5.64%
Minoan- 4.85%
Thracian- 4.46%
Gallo-Roman- 3.59%
Phillistine- 2.84%
Hittite- 2.72%
Gaul- 1.9%
1. Central Roman (590 AD) ..... 7.129 - SZ32 - ?
Top 99% match vs all users
2. Tivoli Palace Late Renaissance (1650 AD) ..... 9.299 - R969 -
Top 99% match vs all users
3. Central Roman (590 AD) ..... 9.724 - SZ36 -
Top 98% match vs all users
4. Latin Prenestini Tribe Inland PS (300 BC) ..... 11.49 - R437 -
Top 99% match vs all users
5. Mycenaean (1350 BC) ..... 11.56 - I9033 -
Top 99% match vs all users
6. Late Roman Empire Crypta Balbi (500 AD) ..... 11.95 - R107 -
Top 98% match vs all users
7. Tuscan Medieval Villa Magna Italy (905 AD) ..... 12.16 - R60 -
Top 97% match vs all users
8. Tuscan Late Medieval Villa Magna Italy (1355 AD) ..... 12.17 - R54 -
Top 98% match vs all users
9. Central Roman (590 AD) ..... 12.3 - SZ43 -
Top 97% match vs all users
10. Imperial Rome Cluana Ancona (165 AD) ..... 12.31 - R835 -
Top 98% match vs all users
11. Thracian Bulgaria (450 BC) ..... 12.46 - I5769 -
Top 99% match vs all users
12. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 12.73 - R1290 -
Top 97% match vs all users
13. Tivoli Palace Late Renaissance (1650 AD) ..... 12.81 - R973 -
Top 99% match vs all users
14. Roman Imperial Palestrina (100 AD) ..... 12.92 - R436 -
Top 97% match vs all users
15. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 13.06 - R57 -
Top 98% match vs all users
16. Central Roman (630 AD) ..... 13.07 - CL36 - ?
Top 95% match vs all users
17. Hellenic Roman Marcellino (400 AD) ..... 13.08 - R136 -
Top 96% match vs all users
18. Central Roman Casale del Dolce (200 AD) ..... 13.74 - R125 -
Top 98% match vs all users
19. Central Roman Mausoleo Augusto (500 AD) ..... 13.88 - R32 -
Top 99% match vs all users
20. Central Roman San Ercolano (100 AD) ..... 13.9 - R117 -
Top 97% match vs all users
21. Central Roman / Mixed (590 AD) ..... 13.94 - SZ19 -
Top 97% match vs all users
22. Hellenic Roman (590 AD) ..... 13.97 - SZ40 - ?
Top 96% match vs all users
23. Hellenic Roman Monterotondo (165 AD) ..... 14.04 - R1548 -
Top 96% match vs all users
24. Medieval Taifa of Valencia (1200 AD) ..... 14.08 - I12649 -
Top 95% match vs all users
25. North Roman Warrior (590 AD) ..... 14.1 - NS3c - ?
Top 95% match vs all users
26. Roman Villa Tarragona (350 AD) ..... 14.26 - I6491 -
Top 95% match vs all users
27. Medieval Villa Magna Italy (1100 AD) ..... 14.34 - R65 -
Top 96% match vs all users
28. Central Roman (580 AD) ..... 14.4 - CL121 -
Top 95% match vs all users
29. Imperial Rome Centocelle (282 AD) ..... 14.61 - R47 -
Top 97% match vs all users
30. Imperial Rome Centocelle (200 AD) ..... 14.68 - R49 -
Top 97% match vs all users
31. Tivoli Palace Late Renaissance (1650 AD) ..... 14.79 - R970 -
Top 96% match vs all users
32. Tuscan Late Medieval Villa Magna Italy (1355 AD) ..... 14.88 - R56 -
Top 96% match vs all users
33. Roman/Illyrian Celio Military Hospital (500 AD) ..... 14.97 - R36 -
Top 94% match vs all users
34. Late Roman Iberia Granada (470 AD) ..... 15.07 - I3576 -
Top 97% match vs all users
35. Central Roman Celio Military Hospital (500 AD) ..... 15.09 - R35 -
Top 97% match vs all users
36. Protovillanovia Martinsicuro (930 BC) ..... 15.42 - R1 -
Top 92% match vs all users
37. Medieval Italy Abbadia SS Plague (1348 AD) ..... 15.48 - BSS31
Top 95% match vs all users
38. Scythian Southern Moldova (290 BC) ..... 15.54 - scy197b - ?
Top 93% match vs all users
39. Scythian Southern Moldova (270 BC) ..... 15.68 - scy192 -
Top 94% match vs all users
40. Late Roman Iberia Granada (500 AD) ..... 15.74 - I3575 -
Top 97% match vs all users
41. Gallo-Roman (590 AD) ..... 15.76 - SZ28 - ?
Top 92% match vs all users
42. Sicily Beaker (2200 BC) ..... 15.94 - I4930 -
Top 99% match vs all users
43. Byzantine Roman Warrior (605 AD) ..... 16.14 - NS3b - ?
Top 94% match vs all users
44. Crusader Knight Tuscan / Lebanon (1250 AD) ..... 16.2 - SI-53 -
Top 98% match vs all users
45. Medieval Villa Magna Italy (1100 AD) ..... 16.3 - R58 -
Top 96% match vs all users
46. Imperial Rome ANAS (200 AD) ..... 16.5 - R69 -
Top 97% match vs all users
47. Imperial Rome Centocelle (200 AD) ..... 16.62 - R51 -
Top 96% match vs all users
48. Marseilles Plague Victim (1721 AD) ..... 16.69 - OBS137 - ?
Top 87% match vs all users
49. Hellenic Roman Marcellino (400 AD) ..... 16.74 - R133 -
Top 96% match vs all users
50. Imperial Rome Empire Via Paisiello (100 AD) ..... 16.76 - R114 -
Top 94% match vs all users
51. Late Medieval Villa Magna Italy (1355 AD) ..... 16.78 - R52 -
Top 97% match vs all users
52. Iberian Taifa of Valencia (1200 AD) ..... 16.85 - I2647
Top 94% match vs all users
53. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 17.16 - R64 -
Top 95% match vs all users
54. Roman Mix San Ercolano (500 AD) ..... 17.43 - R118 -
Top 96% match vs all users
55. Medieval Cancelleria Basilica (860 AD) ..... 17.59 - R1283 -
Top 95% match vs all users
56. Roman Villa Granada Spain (350 AD) ..... 17.75 - I3983 -
Top 95% match vs all users
57. Illyrian / Dalmatian (1600 BC) ..... 17.77 - I4332 -
Top 90% match vs all users
58. Medieval Villa Magna Italy (905 AD) ..... 17.88 - R59 -
Top 96% match vs all users
59. Late Roman Iberia Granada (500 AD) ..... 17.98 - I3582 -
Top 93% match vs all users
60. Roman Empire Monterotondo (165 AD) ..... 18.11 - R1540
Top 92% match vs all users
https://i.postimg.cc/zBnMhz1F/mag3.png
https://i.postimg.cc/qMbkqLwM/cm1.png
https://i.postimg.cc/MHn9DqCL/cm2.png
https://i.postimg.cc/jjdqS105/cm3.png
https://i.postimg.cc/sDdVhxdb/cm4.png
https://i.postimg.cc/JhnmLBZH/cm5.png
https://i.postimg.cc/J0gHNL8P/cm6.png
https://i.postimg.cc/X7RyX4Qv/cm7.png
https://i.postimg.cc/LXQJSpJ2/cm8.png
https://i.postimg.cc/9QHrC1QR/cm9.png
https://i.postimg.cc/QNRpKQMs/cm10.png
https://i.postimg.cc/kgy8HLvX/cm11.png
I share more cm and similarity with Illyrian samples than Thracian(despite getting this in closest). Not sure what their algorithms are. Here are my updated results:
https://i.postimg.cc/zv7BXYtx/mag1.png
https://i.postimg.cc/nrk21Mrp/time.png
https://i.postimg.cc/y6pCBNnw/mag2.png
Romans- 43.6%
Hellenic Romans- 12.1%
Roman Hispania- 10.2%
Ancient Greek- 7.98%
Illyrian- 5.64%
Minoan- 4.85%
Thracian- 4.46%
Gallo-Roman- 3.59%
Phillistine- 2.84%
Hittite- 2.72%
Gaul- 1.9%
1. Central Roman (590 AD) ..... 7.129 - SZ32 - ?
Top 99% match vs all users
2. Tivoli Palace Late Renaissance (1650 AD) ..... 9.299 - R969 -
Top 99% match vs all users
3. Central Roman (590 AD) ..... 9.724 - SZ36 -
Top 98% match vs all users
4. Latin Prenestini Tribe Inland PS (300 BC) ..... 11.49 - R437 -
Top 99% match vs all users
5. Mycenaean (1350 BC) ..... 11.56 - I9033 -
Top 99% match vs all users
6. Late Roman Empire Crypta Balbi (500 AD) ..... 11.95 - R107 -
Top 98% match vs all users
7. Tuscan Medieval Villa Magna Italy (905 AD) ..... 12.16 - R60 -
Top 97% match vs all users
8. Tuscan Late Medieval Villa Magna Italy (1355 AD) ..... 12.17 - R54 -
Top 98% match vs all users
9. Central Roman (590 AD) ..... 12.3 - SZ43 -
Top 97% match vs all users
10. Imperial Rome Cluana Ancona (165 AD) ..... 12.31 - R835 -
Top 98% match vs all users
11. Thracian Bulgaria (450 BC) ..... 12.46 - I5769 -
Top 99% match vs all users
12. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 12.73 - R1290 -
Top 97% match vs all users
13. Tivoli Palace Late Renaissance (1650 AD) ..... 12.81 - R973 -
Top 99% match vs all users
14. Roman Imperial Palestrina (100 AD) ..... 12.92 - R436 -
Top 97% match vs all users
15. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 13.06 - R57 -
Top 98% match vs all users
16. Central Roman (630 AD) ..... 13.07 - CL36 - ?
Top 95% match vs all users
17. Hellenic Roman Marcellino (400 AD) ..... 13.08 - R136 -
Top 96% match vs all users
18. Central Roman Casale del Dolce (200 AD) ..... 13.74 - R125 -
Top 98% match vs all users
19. Central Roman Mausoleo Augusto (500 AD) ..... 13.88 - R32 -
Top 99% match vs all users
20. Central Roman San Ercolano (100 AD) ..... 13.9 - R117 -
Top 97% match vs all users
21. Central Roman / Mixed (590 AD) ..... 13.94 - SZ19 -
Top 97% match vs all users
22. Hellenic Roman (590 AD) ..... 13.97 - SZ40 - ?
Top 96% match vs all users
23. Hellenic Roman Monterotondo (165 AD) ..... 14.04 - R1548 -
Top 96% match vs all users
24. Medieval Taifa of Valencia (1200 AD) ..... 14.08 - I12649 -
Top 95% match vs all users
25. North Roman Warrior (590 AD) ..... 14.1 - NS3c - ?
Top 95% match vs all users
26. Roman Villa Tarragona (350 AD) ..... 14.26 - I6491 -
Top 95% match vs all users
27. Medieval Villa Magna Italy (1100 AD) ..... 14.34 - R65 -
Top 96% match vs all users
28. Central Roman (580 AD) ..... 14.4 - CL121 -
Top 95% match vs all users
29. Imperial Rome Centocelle (282 AD) ..... 14.61 - R47 -
Top 97% match vs all users
30. Imperial Rome Centocelle (200 AD) ..... 14.68 - R49 -
Top 97% match vs all users
31. Tivoli Palace Late Renaissance (1650 AD) ..... 14.79 - R970 -
Top 96% match vs all users
32. Tuscan Late Medieval Villa Magna Italy (1355 AD) ..... 14.88 - R56 -
Top 96% match vs all users
33. Roman/Illyrian Celio Military Hospital (500 AD) ..... 14.97 - R36 -
Top 94% match vs all users
34. Late Roman Iberia Granada (470 AD) ..... 15.07 - I3576 -
Top 97% match vs all users
35. Central Roman Celio Military Hospital (500 AD) ..... 15.09 - R35 -
Top 97% match vs all users
36. Protovillanovia Martinsicuro (930 BC) ..... 15.42 - R1 -
Top 92% match vs all users
37. Medieval Italy Abbadia SS Plague (1348 AD) ..... 15.48 - BSS31
Top 95% match vs all users
38. Scythian Southern Moldova (290 BC) ..... 15.54 - scy197b - ?
Top 93% match vs all users
39. Scythian Southern Moldova (270 BC) ..... 15.68 - scy192 -
Top 94% match vs all users
40. Late Roman Iberia Granada (500 AD) ..... 15.74 - I3575 -
Top 97% match vs all users
41. Gallo-Roman (590 AD) ..... 15.76 - SZ28 - ?
Top 92% match vs all users
42. Sicily Beaker (2200 BC) ..... 15.94 - I4930 -
Top 99% match vs all users
43. Byzantine Roman Warrior (605 AD) ..... 16.14 - NS3b - ?
Top 94% match vs all users
44. Crusader Knight Tuscan / Lebanon (1250 AD) ..... 16.2 - SI-53 -
Top 98% match vs all users
45. Medieval Villa Magna Italy (1100 AD) ..... 16.3 - R58 -
Top 96% match vs all users
46. Imperial Rome ANAS (200 AD) ..... 16.5 - R69 -
Top 97% match vs all users
47. Imperial Rome Centocelle (200 AD) ..... 16.62 - R51 -
Top 96% match vs all users
48. Marseilles Plague Victim (1721 AD) ..... 16.69 - OBS137 - ?
Top 87% match vs all users
49. Hellenic Roman Marcellino (400 AD) ..... 16.74 - R133 -
Top 96% match vs all users
50. Imperial Rome Empire Via Paisiello (100 AD) ..... 16.76 - R114 -
Top 94% match vs all users
51. Late Medieval Villa Magna Italy (1355 AD) ..... 16.78 - R52 -
Top 97% match vs all users
52. Iberian Taifa of Valencia (1200 AD) ..... 16.85 - I2647
Top 94% match vs all users
53. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 17.16 - R64 -
Top 95% match vs all users
54. Roman Mix San Ercolano (500 AD) ..... 17.43 - R118 -
Top 96% match vs all users
55. Medieval Cancelleria Basilica (860 AD) ..... 17.59 - R1283 -
Top 95% match vs all users
56. Roman Villa Granada Spain (350 AD) ..... 17.75 - I3983 -
Top 95% match vs all users
57. Illyrian / Dalmatian (1600 BC) ..... 17.77 - I4332 -
Top 90% match vs all users
58. Medieval Villa Magna Italy (905 AD) ..... 17.88 - R59 -
Top 96% match vs all users
59. Late Roman Iberia Granada (500 AD) ..... 17.98 - I3582 -
Top 93% match vs all users
60. Roman Empire Monterotondo (165 AD) ..... 18.11 - R1540
Top 92% match vs all users
https://i.postimg.cc/zBnMhz1F/mag3.png
https://i.postimg.cc/qMbkqLwM/cm1.png
https://i.postimg.cc/MHn9DqCL/cm2.png
https://i.postimg.cc/jjdqS105/cm3.png
https://i.postimg.cc/sDdVhxdb/cm4.png
https://i.postimg.cc/JhnmLBZH/cm5.png
https://i.postimg.cc/J0gHNL8P/cm6.png
https://i.postimg.cc/X7RyX4Qv/cm7.png
https://i.postimg.cc/LXQJSpJ2/cm8.png
https://i.postimg.cc/9QHrC1QR/cm9.png
https://i.postimg.cc/QNRpKQMs/cm10.png
https://i.postimg.cc/kgy8HLvX/cm11.png
This will show you the makeup of the Szolad samples to which you're closest. Red is TSI Tuscan, Blue is IBS Spain, which is a combination of Catalan and Andalusian samples, and Grey is Great Britain or generally Northwest European "like".
https://i.imgur.com/WFQRSnU.png
Their algorithm puts me much closer to Szolad than gedmatch calculators do, but further from Illyrians, Scythians, Thracians etc. (I get a distance of 6 with those tools), so they're NOT just a rip off of K15.
1. Central Roman (590 AD) ..... 3.614 - SZ43 -
Top
99% match vs all users
2. Central Roman (630 AD) ..... 4.508 - CL36 - ?
Top
99% match vs all users
3. Tuscan Medieval Villa Magna Italy (905 AD) ..... 5.964 - R60 -
Top
99% match vs all users
4. Protovillanovia Martinsicuro (930 BC) ..... 6.241 - R1 -
Top
99% match vs all users
5. Central Roman (590 AD) ..... 6.771 - SZ36 -
Top
99% match vs all users
6. Late Roman Empire Crypta Balbi (500 AD) ..... 8.391 - R107 -
Top
99% match vs all users
7. Tivoli Palace Late Renaissance (1650 AD) ..... 8.474 - R970 -
Top
99% match vs all users
8. Roman Empire Monterotondo (165 AD) ..... 8.697 - R1540
Top
99% match vs all users
9. Roman/Illyrian Celio Military Hospital (500 AD) ..... 9.44 - R36 -
Top
99% match vs all users
10. Medieval Italy Abbadia SS Plague (1348 AD) ..... 9.528 - BSS31
Top
99% match vs all users
11. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 9.549 - R1290 -
Top
99% match vs all users
12. Imperial Rome Cluana Ancona (165 AD) ..... 9.561 - R835 -
Top
99% match vs all users
13. Gallo-Roman (590 AD) ..... 9.698 - SZ28 - ?
Top
99% match vs all users
14. Central Roman (580 AD) ..... 9.734 - CL121 -
Top
99% match vs all users
15. Scythian Southern Moldova (270 BC) ..... 10.06 - scy192 -
Top
99% match vs all users
This will show you the makeup of the Szolad samples to which you're closest. Red is TSI Tuscan, Blue is IBS Spain, which is a combination of Catalan and Andalusian samples, and Grey is Great Britain or generally Northwest European "like".
https://i.imgur.com/WFQRSnU.png
Their algorithm puts me much closer to Szolad than gedmatch calculators do, but further from Illyrians, Scythians, Thracians etc. (I get a distance of 6 with those tools), so they're NOT just a rip off of K15.
1. Central Roman (590 AD) ..... 3.614 - SZ43 -
Top
99
% match vs all users
2. Central Roman (630 AD) ..... 4.508 - CL36 - ?
Top
99
% match vs all users
3. Tuscan Medieval Villa Magna Italy (905 AD) ..... 5.964 - R60 -
Top
99
% match vs all users
4. Protovillanovia Martinsicuro (930 BC) ..... 6.241 - R1 -
Top
99
% match vs all users
5. Central Roman (590 AD) ..... 6.771 - SZ36 -
Top
99
% match vs all users
6. Late Roman Empire Crypta Balbi (500 AD) ..... 8.391 - R107 -
Top
99
% match vs all users
7. Tivoli Palace Late Renaissance (1650 AD) ..... 8.474 - R970 -
Top
99
% match vs all users
8. Roman Empire Monterotondo (165 AD) ..... 8.697 - R1540
Top
99
% match vs all users
9. Roman/Illyrian Celio Military Hospital (500 AD) ..... 9.44 - R36 -
Top
99
% match vs all users
10. Medieval Italy Abbadia SS Plague (1348 AD) ..... 9.528 - BSS31
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99
% match vs all users
11. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 9.549 - R1290 -
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99
% match vs all users
12. Imperial Rome Cluana Ancona (165 AD) ..... 9.561 - R835 -
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99
% match vs all users
13. Gallo-Roman (590 AD) ..... 9.698 - SZ28 - ?
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99
% match vs all users
14. Central Roman (580 AD) ..... 9.734 - CL121 -
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99
% match vs all users
15. Scythian Southern Moldova (270 BC) ..... 10.06 - scy192 -
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99
% match vs all users
for correction
A population assignment analysis (PAA) that estimates uncertainty in genetic ancestry assignment finds that individuals with high CEU + GBR ancestry are assigned to countries from all over modern central, northern, and northwest Europe (Supplementary Note 10 (https://www.nature.com/articles/s41467-018-06024-4#MOESM1), Supplementary Figure 50 (https://www.nature.com/articles/s41467-018-06024-4#MOESM1), Supplementary Data 4 (https://www.nature.com/articles/s41467-018-06024-4#MOESM6)). We refer to this as central/northern ancestry as it is generally difficult to distinguish this with more precision given the resolution of our data.
as you see below....they combined 2 to get the blue
https://i.postimg.cc/Gmg3rBz7/lombard-samples.png (https://postimages.org/)
If the combine TSI+IBS the result = Balkan .............as per what is stated in other papers
This will show you the makeup of the Szolad samples to which you're closest. Red is TSI Tuscan, Green is IBS Spain, which is a combination of Catalan and Andalusian samples, and Blue is generally Northwest European "like".
https://i.imgur.com/WFQRSnU.png
Their algorithm puts me much closer to Szolad than gedmatch calculators do, but further from Illyrians, Scythians, Thracians etc. (I get a distance of 6 with those tools), so they're NOT just a rip off of K15.
1. Central Roman (590 AD) ..... 3.614 - SZ43 -
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99
% match vs all users
2. Central Roman (630 AD) ..... 4.508 - CL36 - ?
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99
% match vs all users
3. Tuscan Medieval Villa Magna Italy (905 AD) ..... 5.964 - R60 -
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99
% match vs all users
4. Protovillanovia Martinsicuro (930 BC) ..... 6.241 - R1 -
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99
% match vs all users
5. Central Roman (590 AD) ..... 6.771 - SZ36 -
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99
% match vs all users
6. Late Roman Empire Crypta Balbi (500 AD) ..... 8.391 - R107 -
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99
% match vs all users
7. Tivoli Palace Late Renaissance (1650 AD) ..... 8.474 - R970 -
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99
% match vs all users
8. Roman Empire Monterotondo (165 AD) ..... 8.697 - R1540
Top
99
% match vs all users
9. Roman/Illyrian Celio Military Hospital (500 AD) ..... 9.44 - R36 -
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99
% match vs all users
10. Medieval Italy Abbadia SS Plague (1348 AD) ..... 9.528 - BSS31
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99
% match vs all users
11. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 9.549 - R1290 -
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99
% match vs all users
12. Imperial Rome Cluana Ancona (165 AD) ..... 9.561 - R835 -
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99
% match vs all users
13. Gallo-Roman (590 AD) ..... 9.698 - SZ28 - ?
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99
% match vs all users
14. Central Roman (580 AD) ..... 9.734 - CL121 -
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99
% match vs all users
15. Scythian Southern Moldova (270 BC) ..... 10.06 - scy192 -
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99
% match vs all users
Sorry, Dibran, I screwed up the color code. Red is TSI like, Green is IBS like, and Blue is Northwest European like. It would have been clearer if they hadn't limited themselves to 1000 genomes. Or maybe Amorim saw this was actually MORE clear. :)
Here is what I mean about the Illyrian/Dalmatian samples. In gedmatch ancient calculations I'm at about 6 from all these people.
18. Illyrian / Dalmatian (1200 BC) ..... 10.28 - I3313 -
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97% match vs all users
36. Scythian Southern Moldova (290 BC) ..... 12.23 - scy197b - ?
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96% match vs all users
37. Illyrian / Dalmatian (1600 BC) ..... 12.43 - I4331 -
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96% match vs all users
43. Scythian Southern Moldova (290 BC) ..... 12.98 - scy300 -
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98% match vs all users
I share more cm and similarity with Illyrian samples than Thracian(despite getting this in closest). Not sure what their algorithms are. ^
I do not understand it either. In the breakdown, I have almost two times more Illyrian than Thracian but Illyrians do not even appear among my closest ancient populations.
Are you using the pay option in mytrueancestrue to get additional information?
I do not understand it either. In the breakdown, I have almost two times more Illyrian than Thracian but Illyrians do not even appear among my closest ancient populations.
If you read the history of alexanders father philip, it is stated that the illyrians got down south circa 350bc.......the thracians where there with the dardanians, paeonians etc, since the bronze age
Tutkun Arnaut
08-01-20, 01:36
If you read the history of alexanders father philip, it is stated that the illyrians got down south circa 350bc.......the thracians where there with the dardanians, paeonians etc, since the bronze age
They came with a bus? I have not read that story!
Ancient Sample Breakdown:
https://i.imgur.com/ZXBo7hp.jpg
https://i.imgur.com/H2lvWkv.jpg
https://i.imgur.com/BhWFLUW.jpg
https://i.imgur.com/71LG3Kc.jpg
https://i.imgur.com/oEevhne.jpg
https://i.imgur.com/TCD9tpZ.jpg
https://i.imgur.com/ImrZLxo.jpg
https://i.imgur.com/WbOdGNd.jpg
https://i.imgur.com/rf8IFam.jpg
https://i.imgur.com/OrMgjIB.jpg
https://i.imgur.com/zmpWieH.jpg
Kit: Iberian El Argar Bronze Age (I8136) (https://mytrueancestry.com/c/main.py#)
1. Iberia Bronze Age (1600 BC) ..... 2.635 - ATP9 -
Top
100% match vs all users
2. Bronze Age Spain Cogotas I (1500 BC) ..... 5.226 - I3490 -
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100% match vs all users
3. Bell Beaker France (2300 BC) ..... 5.349 - I1388 -
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100% match vs all users
4. Bronze Age Northern Spain (1560 BC) ..... 5.35 - VAD004 -
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100% match vs all users
5. Bronze Age Loma del Puerco (1800 BC) ..... 5.879 - I7162 -
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100% match vs all users
6. Pre-Indo European Tribe (1440 BC) ..... 5.939 - I2470 -
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100% match vs all users
7. Pre-Roman Girona (280 BC) ..... 7.424 - I3323 -
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100% match vs all users
8. Niedertiefenbach Western Germany (3200 BC) ..... 7.88 - Niedertiefenbach21 - ?
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100% match vs all users
9. Pre-Indo European Tribe (1440 BC) ..... 7.881 - I2471 -
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99% match vs all users
10. Iberian / Ilergetes Tribe (550 BC) ..... 9.33 - I3322 -
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100% match vs all users
11. Roman Villa Tarragona (350 AD) ..... 9.521 - I6490 -
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99% match vs all users
12. Bronze Age Northern Spain (1560 BC) ..... 9.711 - VAD005 -
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99% match vs all users
13. Ilercavones Catalan (200 BC) ..... 9.747 - I3321 -
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99% match vs all users
14. Iberia (2750 BC) ..... 10.73 - I1274 -
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99% match vs all users
15. Niedertiefenbach Western Germany (3200 BC) ..... 11.04 - Niedertiefenbach20
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99% match vs all users
16. North Alpine Middle Bronze Age (1525 BC) ..... 11.54 - OTTM_156 -
Top
99% match vs all users
17. North Alpine Bronze Age (1755 BC) ..... 11.73 - AITI_95 -
Top
100% match vs all users
18. Niedertiefenbach Western Germany (3200 BC) ..... 11.88 - Niedertiefenbach40 - ?
Top
99% match vs all users
19. Bronze Age Northern Spain (1560 BC) ..... 11.89 - VAD001 -
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99% match vs all users
20. Ilergetes Tribe Catalan (440 BC) ..... 12.52 - I12878 -
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99% match vs all users
21. Bronze Age Northern Spain (1440 BC) ..... 12.83 - I1840 -
Top
99% match vs all users
22. Ilergetes Tribe Catalan (200 BC) ..... 13.17 - I3320 -
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99% match vs all users
23. Ilergetes Tribe Catalan (280 BC) ..... 13.34 - I3327 -
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99% match vs all users
24. Iberia (2750 BC) ..... 13.53 - I1281 -
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99% match vs all users
25. Tartessian Archaic Andalusia (600 BC) ..... 13.61 - I12171 -
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99% match vs all users
26. Portugal Bronze Age (1600 BC) ..... 13.62 - VO10207
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99% match vs all users
27. Bronze Age Northern Spain (1440 BC) ..... 14.02 - I2472 -
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99% match vs all users
28. Bronze Age Spain Cogotas I (1500 BC) ..... 14.05 - I3493 -
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99% match vs all users
29. Latin Tribe Inland BE (650 BC) ..... 14.32 - R1021 -
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99% match vs all users
30. Niedertiefenbach Western Germany (3200 BC) ..... 14.64 - Niedertiefenbach33 - ?
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99% match vs all users
31. Ilergetes Outlier Catalan (440 BC) ..... 14.72 - I12410 -
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99% match vs all users
32. Bronze Age Valencia Lloma de Betxi (1841 BC) ..... 14.82 - I3997 -
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99% match vs all users
33. Late Medieval Cancelleria Basilica (1429 AD) ..... 14.87 - R1289 -
Top
99% match vs all users
34. Neolithic North Portugal (2450 BC) ..... 14.99 - LD1174 - ?
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99% match vs all users
35. Niedertiefenbach Western Germany (3200 BC) ..... 15.23 - Niedertiefenbach10 - ?
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99% match vs all users
36. Bronze Age Spain Cogotas (1290 BC) ..... 15.51 - I12208 -
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99% match vs all users
37. Bronze Age Spain Cogotas (1290 BC) ..... 15.56 - I12209 -
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99% match vs all users
38. Ilergetes Tribe Catalan (600 BC) ..... 15.66 - I4556 -
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98% match vs all users
39. Latin Aristocrat Castel di Decima (800 BC) ..... 16.43 - R1016 -
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99% match vs all users
40. Neolithic Ireland (3200 BC) ..... 16.63 - Ballynahatty - ?
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99% match vs all users
41. Neolithic Orkney Islands (3220 BC) ..... 16.71 - I7554 -
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99% match vs all users
42. Niedertiefenbach Western Germany (3200 BC) ..... 16.86 - Niedertiefenbach37 - ?
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99% match vs all users
43. Roman Era Girona (80 AD) ..... 17.13 - I8339 -
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99% match vs all users
44. Carthago Mix Iberia (2600 BC) ..... 17.21 - CMOL53 - ?
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99% match vs all users
45. Trumpington Meadows Bronze Age (2705 BC) ..... 17.38 - TRM102 -
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99% match vs all users
46. Trumpington Meadows Bronze Age (2705 BC) ..... 17.41 - TRM101 -
Top
99% match vs all users
47. Niedertiefenbach Western Germany (3200 BC) ..... 17.52 - Niedertiefenbach27 - ?
Top
99% match vs all users
48. Neolithic Ireland (3200 BC) ..... 17.6 - BallynahattyB
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99% match vs all users
49. Etruscan Civitavecchia (650 BC) ..... 17.78 - R473 -
Top
96% match vs all users
50. Girona Sant Julia de Ramis (1115 AD) ..... 17.85 - I10897 -
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99% match vs all users
51. Basque Carolingian (790 AD) ..... 17.92 - I7673 -
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99% match vs all users
52. Iberia (2750 BC) ..... 17.99 - I1280 -
Top
99% match vs all users
53. Ilergetes Tribe Catalan (440 BC) ..... 18.0 - I12877 -
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99% match vs all users
54. Italy Bell Beaker (2000 BC) ..... 18.1 - I2478 -
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99% match vs all users
55. Portugal Lorga de Dine (2450 BC) ..... 18.14 - LD270
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99% match vs all users
56. Ancient Spain Lucena (2950 BC) ..... 18.14 - LU339
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99% match vs all users
57. Vasconic-Roman Mix Crypta Balbi (500 AD) ..... 18.38 - R110 -
Top
96% match vs all users
58. Neolithic Orkney Islands (3250 BC) ..... 18.49 - I2636 -
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99% match vs all users
59. Latin Tribe Ardea (650 BC) ..... 18.63 - R851 -
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99% match vs all users
60. Basque Carolingian (650 AD) ..... 18.67 - I3777 -
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98% match vs all users
61. Vascones Tribe (460 BC) ..... 18.96 - I12879 -
Top
97% match vs all users
62. Le Mans Revolutionary France (1793 AD) ..... 19.0 - LM_213_T -
Top
99% match vs all users
63. Neolithic Arran Island (3400 BC) ..... 19.09 - I2988 -
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99% match vs all users
64. Iberia (2750 BC) ..... 19.24 - I1300 -
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99% match vs all users
65. Roman-Carthago Mix Iberia (80 AD) ..... 19.27 - I8475 -
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96% match vs all users
66. North Alpine Bronze Age (1677 BC) ..... 19.42 - AITI_98 -
Top
94% match vs all users
67. Celtiberian Northern Spain (350 BC) ..... 19.43 - I3757 -
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99% match vs all users
68. Neolithic Portugal (3500 BC) ..... 19.56 - MC337
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99% match vs all users
69. Roman Villa Tarragona (350 AD) ..... 19.7 - I6492 -
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99% match vs all users
70. Villanovan Etruscan Italy VGG (850 BC) ..... 19.91 - R1015 -
Top
96% match vs all users
71. Vascones Tribe Vasconia (280 BC) ..... 19.97 - I3759 -
Top
94% match vs all users
72. Gallo-Roman Crypta Balbi (500 AD) ..... 20.2 - R109 -
Top
94% match vs all users
73. Neolithic Morocco (3760 BC) ..... 20.22 - KEB6 - ?
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99% match vs all users
74. Niedertiefenbach Western Germany (3200 BC) ..... 20.35 - Niedertiefenbach1 - ?
Top
98% match vs all users
75. Vascones Tribe Vasconia (280 BC) ..... 20.37 - I3758 -
Top
94% match vs all users
76. Roman Soldier Freiham-Nord Germany (300 AD) ..... 20.71 - FN_2
Top
47% match vs all users
77. Vasconic Tribe Empuries (275 BC) ..... 20.73 - I8214 -
Top
94% match vs all users
78. Girona Sant Julia de Ramis (1060 AD) ..... 20.9 - I10853 -
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93% match vs all users
79. Carthaginian Ibiza (270 BC) ..... 21.04 - MS10614 - ?
Top
98% match vs all users
80. Tartessian Archaic Andalusia (600 BC) ..... 21.26 - I12561 -
Top
98% match vs all users
81. Latin Prenestini Tribe Inland PC (400 BC) ..... 21.36 - R435 -
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91% match vs all users
82. Neolithic Scotland (3220 BC) ..... 21.43 - I7554 -
Top
99% match vs all users
83. Celtiberian Mix Tribe Northern Spain (2300 BC) ..... 21.43 - I3238 -
Top
85% match vs all users
84. Girona Sant Julia de Ramis (990 AD) ..... 21.47 - I10892 -
Top
94% match vs all users
85. Bronze Age Koenigsbrunn Germany (2012 BC) ..... 21.52 - OBKR_50 -
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95% match vs all users
86. Carthago-Maghrebi Andalusia (1200 AD) ..... 21.64 - I7457 -
Top
94% match vs all users
87. Visigoth Iberian Girona (550 AD) ..... 21.69 - I12034 -
Top
71% match vs all users
88. Girona Sant Julia de Ramis (880 AD) ..... 21.71 - I10895 -
Top
73% match vs all users
89. Iberia (2750 BC) ..... 21.75 - I1303 -
Top
99% match vs all users
90. Vasconic Tribe (275 BC) ..... 21.83 - I8209 -
Top
79% match vs all users
91. Hispano-Roman-Mehrebi Cordoba Caliphate (950 AD) ..... 21.84 - I7497 -
Top
94% match vs all users
92. Carolingian (790 AD) ..... 21.96 - I7675 -
Top
96% match vs all users
93. Etruscan Civitavecchia (650 BC) ..... 22.06 - R474 -
Top
85% match vs all users
94. Late Roman Mix Crypta Balbi (500 AD) ..... 22.29 - R105 -
Top
86% match vs all users
95. Grotta Continenza Neolithic Italy (5200 BC) ..... 22.29 - R6 -
Top
99% match vs all users
96. Italy Copper Age (3250 BC) ..... 22.44 - Rise487 -
Top
99% match vs all users
97. Girona Sant Julia de Ramis (1060 AD) ..... 22.44 - I10851 -
Top
77% match vs all users
98. High Status Male Haunstetten (2059 BC) ..... 22.5 - POST_44 -
Top
66% match vs all users
99. Crusader Knight French / Lebanon (1250 AD) ..... 22.72 - SI-40 -
Top
90% match vs all users
100. Italy Copper Age (2800 BC) ..... 23.04 - Rise489 -
Top
99% match vs all users
101. High Status Burial Mound Haunstetten (2112 BC) ..... 23.06 - POST_50 -
Top
85% match vs all users
102. Immigrant Medieval Denmark (1305 AD) ..... 23.18 - G274 -
Top
96% match vs all users
103. Boscombe Bowmen Amesbury (2300 BC) ..... 23.37 - I2416-BB -
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75% match vs all users
104. Bell Beaker Haunstetten Germany (2385 BC) ..... 23.63 - UNTA58_68Sk1 -
Top
67% match vs all users
105. Girona Sant Julia de Ramis (1060 AD) ..... 23.72 - I10852 -
Top
53% match vs all users
106. North Alpine Bronze Age (1797 BC) ..... 23.81 - AITI_66 -
Top
53% match vs all users
107. Pre-Roman Girona (280 BC) ..... 23.81 - I3324 -
Top
93% match vs all users
108. Western Scythian Outlier Hungary (550 BC) ..... 23.89 - DA198 -
Top
88% match vs all users
109. Medieval Villa Magna Italy (990 AD) ..... 23.97 - R63 -
Top
59% match vs all users
110. Carthago-Iberian-Mehrebi Cordoba Caliphate (950 AD) ..... 24.04 - I7500 -
Top
96% match vs all users
111. Latin Roman Isola Sacra (200 AD) ..... 24.11 - R37 -
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90% match vs all users
112. Italy Copper Age (1900 BC) ..... 24.19 - Rise486 -
Top
99% match vs all users
113. Iron Age Catalan (620 BC) ..... 24.3 - I12640 -
Top
61% match vs all users
114. Medieval Cancelleria Basilica (1005 AD) ..... 24.36 - R1285 -
Top
90% match vs all users
115. Carthago-Maghrebi Andalusia (1400 AD) ..... 24.36 - I8146 -
Top
98% match vs all users
116. Gallo-Roman Celt Mix Iberia (80 AD) ..... 24.46 - I10866 -
Top
41% match vs all users
117. North Alpine Middle Bronze Age (1563 BC) ..... 24.69 - OTTM_151ind2 -
Top
76% match vs all users
118. Roman Soldier Germany (300 AD) ..... 25.02 - FN_2
Top
47% match vs all users
119. Scythian Southern Moldova (290 BC) ..... 25.08 - scy300 -
Top
85% match vs all users
120. Bronze Age Sardinia SC (2200 BC) ..... 25.5 - R28 -
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99% match vs all users
121. Celtoiberian Outlier Roman Empire VP (100 AD) ..... 25.57 - R116 -
Top
37% match vs all users
122. Iron Age Catalan (600 BC) ..... 25.57 - I12642 -
Top
94% match vs all users
123. Carthaginian Roman (275 BC) ..... 25.9 - I8204 -
Top
93% match vs all users
124. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 26.06 - I3499 -
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72% match vs all users
125. Scythian Southern Moldova (290 BC) ..... 26.1 - scy305 -
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66% match vs all users
126. Imperial Rome Mausoleo Augusto (500 AD) ..... 26.23 - R33 -
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52% match vs all users
127. North Alpine Bronze Age (1794 BC) ..... 26.37 - AITI_43 -
Top
33% match vs all users
128. Celtibertian Mix (275 BC) ..... 26.65 - I8203 -
Top
42% match vs all users
129. Le Mans Revolutionary France (1793 AD) ..... 26.66 - LM_406_T -
Top
31% match vs all users
130. Neolithic Germany (3200 BC) ..... 26.66 - I0172 -
Top
98% match vs all users
131. Early Medieval Andalusia (760 AD) ..... 26.74 - I3585 -
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73% match vs all users
132. Halstatt Celt (775 BC) ..... 27.15 - DA111 -
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46% match vs all users
133. Carthago Outlier Roman Empire VP (100 AD) ..... 27.2 - R111 -
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84% match vs all users
134. Roman Villa Granada Spain (300 AD) ..... 27.52 - I3982 -
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80% match vs all users
135. Iron Age Catalan (680 BC) ..... 27.58 - I12641 -
Top
37% match vs all users
136. Bell Beaker Haunstetten Germany (1873 BC) ..... 27.73 - UNTA58_153 -
Top
39% match vs all users
137. Late Medieval Cancelleria Basilica (1429 AD) ..... 27.76 - R1287 -
Top
68% match vs all users
138. Hispano-Roman Taifa of Valencia (1200 AD) ..... 27.84 - I12644 -
Top
77% match vs all users
139. Iberian Cordoba Caliphate (1050 AD) ..... 27.85 - I7498 -
Top
57% match vs all users
140. Gallo-Roman Mix Crypta Balbi (500 AD) ..... 27.87 - R108 -
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27% match vs all users
141. Viking Sweden - Basque Female (1100 AD) ..... 28.02 - bns023 -
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84% match vs all users
142. Iberia (2750 BC) ..... 28.04 - I1314 -
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99% match vs all users
143. Medieval Iberian (580 AD) ..... 28.1 - CL23 -
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47% match vs all users
144. Bronze Age Sardinia SC (1950 BC) ..... 28.28 - R22 -
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99% match vs all users
145. Bronze Age Sardinia SC (2200 BC) ..... 28.28 - R25 -
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99% match vs all users
146. Carthago Outlier San Ercolano (500 AD) ..... 28.29 - R121 -
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85% match vs all users
147. Iron Age Catalan (650 BC) ..... 28.35 - I3776 -
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64% match vs all users
148. North Alpine Bronze Age (1752 BC) ..... 28.67 - AITI_120 -
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32% match vs all users
149. Ripa Biance Neolithic Italy (5300 BC) ..... 28.69 - R19 -
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99% match vs all users
150. High Status North Alpine Bronze Age (1789 BC) ..... 28.77 - AITI_119 -
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36% match vs all users
151. Carthago Outlier Roman Empire VP (100 AD) ..... 29.04 - R113 -
Top
87% match vs all users
152. Iberian Taifa of Valencia (1200 AD) ..... 29.05 - I2644
Top
72% match vs all users
153. Portuguese Cordoba Caliphate (1050 AD) ..... 29.09 - I12516 -
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41% match vs all users
154. Ostrogoth Mix (495 AD) ..... 29.15 - AEH_1 - ?
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49% match vs all users
155. Italy Bell Beaker (2000 BC) ..... 29.17 - I2477 -
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99% match vs all users
156. Iberian / Piedmont (580 AD) ..... 29.43 - CL94 -
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21% match vs all users
157. Late Medieval Cancelleria Basilica (1485 AD) ..... 29.5 - R1221 -
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25% match vs all users
158. Etruscan Civitavecchia (650 BC) ..... 29.61 - R475 -
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91% match vs all users
159. Thraco-Cimmerian Black Sea (900 BC) ..... 29.7 - MJ12 -
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43% match vs all users
160. Scythian Southern Moldova (290 BC) ..... 29.86 - scy197b - ?
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32% match vs all users
161. Bronze Age Sardinia SC (2200 BC) ..... 30.04 - R29 -
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99% match vs all users
162. North Alpine Bronze Age (1788 BC) ..... 30.08 - AITI_40 -
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31% match vs all users
163. Illyrian / Dalmatian (1200 BC) ..... 30.09 - I3313 -
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21% match vs all users
164. Celtiberian Alemannic Mix (520 AD) ..... 30.1 - STR_535 -
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32% match vs all users
165. Ancient Gotlander Outlier (2750 BC) ..... 30.21 - Gok4 -
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97% match vs all users
166. Illyrian / Dalmatian (1600 BC) ..... 30.24 - I4331 -
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24% match vs all users
167. Medieval Taifa of Valencia (1200 AD) ..... 30.31 - I12646 -
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96% match vs all users
168. North Alpine Bronze Age (1950 BC) ..... 30.41 - AITI_70 -
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32% match vs all users
169. Medieval Sardinia (1300 AD) ..... 30.47 - Geridu2568-1 -
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89% match vs all users
170. Gallo-Roman (590 AD) ..... 30.48 - SZ28 - ?
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30% match vs all users
171. Scythian Southern Moldova (270 BC) ..... 30.59 - scy192 -
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38% match vs all users
172. Illyrian / Dalmatian (1600 BC) ..... 30.64 - I4332 -
Top
23% match vs all users
173. Rugii Tribe Oder-Vistula (135 AD) ..... 30.67 - PCA36 - ?
Top
26% match vs all users
174. Late Medieval Villa Magna Italy (1355 AD) ..... 30.78 - R55 -
Top
22% match vs all users
175. Aristocrat Iron Age Thrace (425 BC) ..... 30.88 - K8 -
Top
97% match vs all users
176. Monte San Biagio BB Copper Italy (3000 BC) ..... 30.95 - R1014 -
Top
99% match vs all users
177. Bronze Age Sardinia SC (2200 BC) ..... 31.0 - R26 -
Top
99% match vs all users
178. Portuguese Cordoba Caliphate (1050 AD) ..... 31.11 - I12514 -
Top
21% match vs all users
179. Bronze Age Haunstetten Germany (1966 BC) ..... 31.14 - POST_28 -
Top
30% match vs all users
180. Bell Beaker Southern France (2120 BC) ..... 31.24 - I3874 -
Top
32% match vs all users
181. Vucedol Bronze Age Croatia (2740 BC) ..... 31.32 - I2792 -
Top
99% match vs all users
182. Spaniard Cordoba Caliphate (1050 AD) ..... 31.36 - I12515 -
Top
23% match vs all users
183. Scythian Southern Moldova (290 BC) ..... 31.46 - scy304 -
Top
31% match vs all users
184. Early Medieval Iberia Granada (500 AD) ..... 31.56 - I3981 -
Top
49% match vs all users
185. Alemannic Bavaria (450 AD) ..... 31.58 - BIM33
Top
24% match vs all users
186. North Alpine Bronze Age (1791 BC) ..... 31.6 - AITI_2 -
Top
28% match vs all users
187. High Status Bronze Age Wehringen (1865 BC) ..... 31.65 - WEHR_1586 -
Top
31% match vs all users
188. Late Medieval Villa Magna Italy (1355 AD) ..... 31.7 - R61 -
Top
21% match vs all users
189. Iberian Taifa of Valencia (1100 AD) ..... 31.79 - I2515
Top
23% match vs all users
190. Guanche Canary Islands (1100 AD) ..... 32.04 - gun008 -
Top
93% match vs all users
191. Grotta Continenza Copper Italy (2910 BC) ..... 32.07 - R4 -
Top
99% match vs all users
192. Carthago-Roman San Ercolano (500 AD) ..... 32.1 - R120 -
Top
76% match vs all users
193. Ripa Biance Neolithic Italy (5275 BC) ..... 32.18 - R17 -
Top
99% match vs all users
194. Medieval Ireland Kilteasheen (950 AD) ..... 32.44 - KT09 - ?
Top
23% match vs all users
195. Frankish-Gaul / Lombardy Italy (580 AD) ..... 32.55 - CL47b
Top
21% match vs all users
196. Iberian Taifa of Valencia (1120 AD) ..... 32.59 - I2514
Top
20% match vs all users
197. Late Roman Iberia Granada (500 AD) ..... 32.6 - I3582 -
Top
51% match vs all users
198. Iberian Taifa of Valencia (1200 AD) ..... 32.62 - I2649
Top
19% match vs all users
199. Ripa Biance Neolithic Italy (5250 BC) ..... 32.67 - R16 -
Top
99% match vs all users
200. North Alpine Bronze Age (1790 BC) ..... 32.84 - AITI_78 -
Top
23% match vs all users
https://1.bp.blogspot.com/-VrNMRUKCAcM/XgY1ReXsDKI/AAAAAAAAB04/fsxr5SlyAg4obvgP6ZJJ38pRU1LmcQxTACLcBGAsYHQ/s640/elARGARsegmentos.jpeg
https://1.bp.blogspot.com/-eV75R28WXeA/XgY1UuCH2WI/AAAAAAAAB08/5-LMcvxeDKgH-Drfunu8T_p2tE710Zk8wCLcBGAsYHQ/s640/elargarsegmentos2.jpeg
https://1.bp.blogspot.com/-k1I_QAbmRGQ/XgY1XtYVHYI/AAAAAAAAB1A/YAXMNhi96dIpX7qd8ZqwNNKysyWKQESlQCLcBGAsYHQ/s640/elargarsegmentos3.jpeg
https://1.bp.blogspot.com/-dXZbPyd1IwU/XhX60aYRhTI/AAAAAAAACJA/pZpnBKMuBH4z2iPrTfuvizTuKo5SCqmJwCLcBGAsYHQ/s1600/IBERIANelArgarBronzeAGEI8136.JPEG
Ilirio, latin, hispanic roman, Basque, must be Iberian I think and rooster, Celtic must be the bell beaker and Carthaginian some African entries in Iberia otherwise it is anachronistic.
Anothers kits from Iberia:
https://1.bp.blogspot.com/-4lc07xABwhk/XhIwwj1XbcI/AAAAAAAAB-c/_-w0eld2bCQGOC6M0weISZ_KyeqBfT6zwCLcBGAsYHQ/s640/BronzeAgeLomadelPuercoI7162.JPEG
https://1.bp.blogspot.com/-X7CK0IFHfy0/XhIxVraRGKI/AAAAAAAAB_k/lC3dzyoHqg0SEsSStJUSZ11zORF3B315gCLcBGAsYHQ/s640/VasconesTribeI12879.JPEG
https://1.bp.blogspot.com/-nOB7TZHUy5I/XhIxYVjOnuI/AAAAAAAAB_o/toaFcGCfDNAz6XCVfv3xomI6579WAvH-wCLcBGAsYHQ/s640/VASCONEStribeVasconiaI3758.JPEG
Could you identify segments or a pack of genes from El Argar or La Loma del Puerco and even without Iberians give them a unique nomenclature and find where those segments or pack are to have our own nationalist nomenclature actually being the Iberian group? Because if it is done with others you can also fragment the Iberian into thousands of Iberians making them different when they are not so much.
Are you using the pay option in mytrueancestrue to get additional information?
I did yea. Just for the King Level. Was 20 dollars one I got it. I refuse to upgrade to these other packages for 100 plus dollars. Pure theft.
my trentino cousin has had her #1 points lowered and number 10 added
1. Protovillanovia Martinsicuro (930 BC) ..... 4.445 - R1 -
Top 99% match vs all users
2. Central Roman (630 AD) ..... 5.549 - CL36 - ?
Top 99% match vs all users
3. Central Roman (590 AD) ..... 6.369 - SZ43 -
Top 99% match vs all users
4. Central Roman (590 AD) ..... 7.084 - SZ36 -
Top 99% match vs all users
5. Gallo-Roman (590 AD) ..... 7.479 - SZ28 - ?
Top 99% match vs all users
6. North Roman Warrior (590 AD) ..... 8.056 - NS3c - ?
Top 99% match vs all users
7. Tivoli Palace Late Renaissance (1650 AD) ..... 8.27 - R970 -
Top 99% match vs all users
8. Illyrian / Dalmatian (1200 BC) ..... 8.625 - I3313 -
Top 98% match vs all users
9. Scythian Southern Moldova (290 BC) ..... 8.921 - scy197b - ?
Top 99% match vs all users
10. Roman/Illyrian Celio Military Hospital (500 AD) ..... 9.056 - R36 -
Top 99% match vs all users
11. Scythian Southern Moldova (270 BC) ..... 9.109 - scy192 -
Top 99% match vs all users
.................................................. ............
R36
mtDNA: T1a1
Y-DNA: R-Z145
my cousin is mtdna T1a1e
i do not seem to have SZ1 in MTA ....while below I do , ..........R1 and I3313 are correct though
red circle = main
orange is next
then yellow
green
and blue last
https://i.postimg.cc/QxZ9rSpC/iron-age-me.png (https://postimg.cc/6Tz5rrbx)
New very old results
23. Cueva de la Paloma Spain (2350 BC) ..... 12.17
Top
98% match vs all users
33. Iberian Settlement Catalonia Spain (250 BC) ..... 13.44 - I3496 -
Top
99% match vs all users
53. Cueva de la Paloma Spain (2350 BC) ..... 14.36 - I3243
Top
99% match vs all users
110. El Sotillo Basque Country (1555 BC) ..... 17.03 - I1977 -
Top
99% match vs all users
180. Oxford Infirmiary (1790 AD) ..... 21.25 - CSD
Top
46% match vs all users
Ancient Sample Breakdown:
My Breakdown if there were only Basque-Iberian samples in MTA
https://1.bp.blogspot.com/-wWfk5HDyfPA/XhpZJtw75rI/AAAAAAAACJw/9pk2Dmn-qywm3Tl37j8pqrGUXKnJdyX6wCLcBGAsYHQ/s1600/vasco%25C3%25ADberos.jpeg
News results of El Argar
Kit: Iberian El Argar Bronze Age (I8136) (https://mytrueancestry.com/c/main.py#)
29. Cueva de la Paloma Spain (3250 BC) ..... 14.07 - I3214 -
Top
99
% match vs all users
44. Cueva de la Paloma Spain (2350 BC) ..... 16.87 - I3243 -
Top
99
% match vs all users
49. Iberian Settlement Catalonia Spain (250 BC) ..... 17.44 - I3496
Top
98
% match vs all users
63. Cova de la Guineu Spain (2950 BC) ..... 18.96 - I10285
Top
99
% match vs all users
65. Cova de la Guineu Spain (2950 BC) ..... 18.97 - I10277 -
Top
99
% match vs all users
76. Cova de la Guineu Spain (2950 BC) ..... 20.07 - I10284 -
Top
99
% match vs all users
99. Cova de la Guineu Spain (2950 BC) ..... 21.98 - I10280
Top
99
% match vs all users
101. El Sotillo Basque Country (1555 BC) ..... 22.2 - I1977 -
Top
97
% match vs all users
107. Cueva de la Paloma Spain (2350 BC) ..... 22.61 - I3239 -
Top
85
% match vs all users
110. Cova de la Guineu Spain (2950 BC) ..... 23.05 - I10287
Top
99
% match vs all users
142. Cova de la Guineu Spain (2950 BC) ..... 27.11 - I10278 -
Top
99
% match vs all users
173. El Sotillo Basque Country (875 BC) ..... 30.05 - I2469 -
Top
81
% match vs all users
New results for:
Kit: Bronze Age Loma del Puerco (I7162) (https://mytrueancestry.com/c/main.py#)
28. Cueva de la Paloma Spain (3250 BC) ..... 13.46 - I3214 -
Top
99
% match vs all users
45. Iberian Settlement Catalonia Spain (250 BC) ..... 15.49 - I3496
Top
99
% match vs all users
46. Cueva de la Paloma Spain (2350 BC) ..... 15.77 - I3243 -
Top
99
% match vs all users
82. El Sotillo Basque Country (1555 BC) ..... 19.36 - I1977
Top
99
% match vs all users
85. Cueva de la Paloma Spain (2350 BC) ..... 19.4 - I3239
Top
93
% match vs all users
86. Cova de la Guineu Spain (2950 BC) ..... 19.43 - I10277
Top
99
% match vs all users
89. Cova de la Guineu Spain (2950 BC) ..... 19.61 - I10285 -
Top
99
% match vs all users
91. Cova de la Guineu Spain (2950 BC) ..... 19.77 - I10284 -
Top
99
% match vs all users
120. Cova de la Guineu Spain (2950 BC) ..... 22.31 - I10280
Top
99
% match vs all users
135. Cova de la Guineu Spain (2950 BC) ..... 23.65 - I10287
Top
99
% match vs all users
169. Cova de la Guineu Spain (2950 BC) ..... 27.37 - I10278 -
Top
99
% match vs all users
197. El Sotillo Basque Country (875 BC) ..... 29.43 - I2469 -
Top
86
% match vs all users
Very old samples. The Iberia populations are very related. Cogotas also gets all the others. I have obtained the same less Cova de la guineu.
----------------------
My strangest imputes:
1. Ancient Malaysia (2330 BC) ..... 29.13 - Ma911 -
3. Gepid / Goth (450 AD) ..... 31.74 - Vim2
4. Hunnic Tian Shan (475 AD) ..... 32.22 - DA65
6. Turkic (768 AD) ..... 34.92 - DA228
7. Iron Age NW China (135 AD) ..... 35.15 - SRZ_M819
9. Ancient Mongolia (250 BC) ..... 35.86 - DA41
10. Cimmerian Odessa (900 BC) ..... 36.59 - cim358
12. Hellenic Ottoman (1500 AD) ..... 36.69 - MA2196
17. Finnic Sarmatian Warrior (605 AD) ..... 37.99 - NS12a
19. Early Sarmatian Russia (300 BC) ..... 38.34 - I0247 -
21. Cimmerian Moldova (900 BC) ..... 38.59 - cim359 -
28. Guanche Canary Islands (960 AD) ..... 39.83 - gun005 -
29. Kimak Turkic Tribe (800 AD) ..... 40.08 - DA87 -
34. Skeleton Lake Mixed Worshipper (870 AD) ..... 40.52 - I2872
35. Russia Verh-Uimon (1 AD) ..... 40.59 - Rise601
37. Greco-Bactrian Tajikistan (50 BC) ..... 40.81 - I12293
43. Shimomotoyama Rock Shelter Japan (200 AD) ..... 41.16 - Shimomotoyama2
48. Iron Age Sarmatian (350 BC) ..... 41.32 - I0575
52. Hunnic Tien Shan (180 AD) ..... 41.49 - DA101
54. Eastern Scythian Kazakhstan (650 BC) .....
58. Eurasian Steppes Central Saka (700 BC) ..... 41.91 - DA13
59. Mongol Ottoman (1500 AD) ..... 41.93 - MA2195b
62. Hunnic Bulan-Koba (1 AD) ..... 42.23 - Rise602 -
66. Kushan Ksirov Tajikistan (20 BC) ..... 42.3 - I12294
67. Skeleton Lake Alan Outlier Worshipper (830 AD) ..... 42.31 - I6944
77. Siberia Karasuk (1400 BC) ..... 42.63 - Rise499b -
87. Ancient Japan / Jomon (620 BC) ..... 42.88 - IK002
90. Medieval Ghaznavid Mosque (1120 AD) ..... 43.05 - I2959
91. Sarmatian Russia (140 AD) ..... 43.11 - chy002
94. Eurasian Steppes (1500 BC) ..... 43.15 - DA231
95. Ancient Laos (5900 BC) ..... 43.19 - La368
100. Eastern Scythian Kazakhstan (650 BC) ..... 43.3 - MJ54
104. Germanic Medieval Denmark (1270 AD) ..... 43.38 - G119
105. Mycenaean (1350 BC) ..... 43.4 - I9033
108. Pontic Greek (300 AD) ..... 43.56 - Ker1
109. Aral Sea Karasuk (1480 BC) ..... 43.58 - Rise493
111. Sarmatian Russia (140 AD) ..... 43.73 - chy001
114. Hellenic Roman Marcellino (400 AD) ..... 43.94 - R136
117. Bell Beaker Salisbury (2200 BC) ..... 44.01 - I6777
121. Saidu Sharif Buddhist Monastery (400 BC) ..... 44.11 - I6893
125. Hunnic Scythian Steppes (650 BC) ..... 44.2 - MJ42
132. Kenya Kokurmatakore PIA (600 AD) ..... 44.32 - I8904
135. Crete Armenoi (1370 BC) ..... 44.48 - I9123
137. Middle Sarmatian Urals (266 BC) ..... 44.59 - MJ44
148. Shimomotoyama Rock Shelter Japan (200 AD) ..... 44.85 - Shimomotoyama3
154. Andaman Islander (1800 AD) ..... 45.03 - Andaman -
155. Early-Alan Mix Tajikistan (100 BC) ..... 45.04 - I12260 -
157. Iron Age Sarmatian (20 BC) ..... 45.07 - DA30
166. Cimmerian Odessa (900 BC) ..... 45.18 - cim357
167. Torna Alta Andalusia (1550 AD) ..... 45.23 - I3808
169. Roman Imperial Palestrina (100 AD) ..... 45.33 - R436
171. Siberia Andronovo (1500 BC) ..... 45.34 - Rise500
172. Roman Empire Monterotondo (165 AD) ..... 45.35 - R1540
173. Imperial Rome Cluana Ancona (165 AD) ..... 45.37 - R835 -
179. Caucasus Outlier Medieval Denmark (1250 AD) ..... 45.54 - G117
180. Fennoscandia Mix Finland (550 AD) ..... 45.58 - DA237 -
183. Hellenic Roman / Cretan (580 AD) ..... 45.66 - CL38
186. Fennoscandia Finland (550 AD) ..... 45.71 - JK1968
189. Bell Beaker Oxford (2150 BC) ..... 45.78 - I2443
192. Skeleton Lake Pathan/Sindhi Worshipper (860 AD) ..... 45.89 - I3349
193. Bronze Age Netherlands (1775 BC) ..... 45.92 - I4070 -
195. Bronze Age Armenia (1500 BC) ..... 45.92 - Rise397
198. Proto-Hungarian Conqueror (800 AD) ..... 45.98 - K3per12
199. Czech Bilina_N_Baalberge CWC (3600 BC) ..... 46.0 - I6696 -
Kit: Medieval Villa Magna Italy (R63) (https://mytrueancestry.com/c/main.py#)
1. Etruscan Civitavecchia (650 BC) ..... 4.463 - R474 -
Top
100
% match vs all users
2. Girona Sant Julia de Ramis (1060 AD) ..... 4.727 - I10852 -
Top
100
% match vs all users
3. Bell Beaker Haunstetten Germany (2385 BC) ..... 4.743 - UNTA58_68Sk1 -
Top
100
% match vs all users
4. Gallo-Roman Crypta Balbi (500 AD) ..... 4.989 - R109 -
Top
100
% match vs all users
5. Cueva de la Paloma Spain (2350 BC) ..... 5.24 - I3239 -
Top
100
% match vs all users
6. Roman Soldier Freiham-Nord Germany (300 AD) ..... 5.456 - FN_2
Top
99
% match vs all users
7. Girona Sant Julia de Ramis (1060 AD) ..... 5.576 - I10851 -
Top
100
% match vs all users
8. Visigoth Iberian Girona (550 AD) ..... 5.682 - I12034 -
Top
99
% match vs all users
9. High Status Burial Mound Haunstetten (2112 BC) ..... 5.784 - POST_50 -
Top
100
% match vs all users
10. High Status Male Haunstetten (2059 BC) ..... 6.485 - POST_44 -
Top
99
% match vs all users
11. North Alpine Bronze Age (1794 BC) ..... 6.564 - AITI_43 -
Top
99
% match vs all users
12. Le Mans Revolutionary France (1793 AD) ..... 6.673 - LM_406_T -
Top
99
% match vs all users
13. Roman Soldier Germany (300 AD) ..... 7.311 - FN_2
Top
99
% match vs all users
14. Girona Sant Julia de Ramis (880 AD) ..... 8.427 - I10895 -
Top
99
% match vs all users
15. Celtiberian Mix Tribe Northern Spain (2300 BC) ..... 8.68 - I3238 -
Top
99
% match vs all users
16. Gallo-Roman Mix Crypta Balbi (500 AD) ..... 8.902 - R108 -
Top
99
% match vs all users
17. Latin Roman Isola Sacra (200 AD) ..... 9.188 - R37 -
Top
100
% match vs all users
18. Ilergetes Tribe Catalan (600 BC) ..... 9.217 - I4556 -
Top
99
% match vs all users
19. Iberian Settlement Catalonia Spain (250 BC) ..... 9.352 - I3496 -
Top
99
% match vs all users
20. Pre-Roman Girona (280 BC) ..... 9.705 - I3324 -
Top
100
% match vs all users
21. Bronze Age Spain Cogotas (1290 BC) ..... 9.82 - I12209 -
Top
99
% match vs all users
22. Imperial Rome Mausoleo Augusto (500 AD) ..... 9.854 - R33 -
Top
98
% match vs all users
23. Bronze Age Spain Cogotas (1290 BC) ..... 9.956 - I12208 -
Top
99
% match vs all users
24. Vasconic-Roman Mix Crypta Balbi (500 AD) ..... 10.02 - R110 -
Top
99
% match vs all users
25. Cueva de la Paloma Spain (2350 BC) ..... 10.25 - I3243 -
Top
99
% match vs all users
26. El Sotillo Basque Country (1555 BC) ..... 10.26 - I1977 -
Top
100
% match vs all users
27. Latin Prenestini Tribe Inland PC (400 BC) ..... 10.43 - R435 -
Top
99
% match vs all users
28. Late Medieval Villa Magna Italy (1355 AD) ..... 10.44 - R61 -
Top
98
% match vs all users
29. Latin Tribe Inland BE (650 BC) ..... 10.46 - R1021 -
Top
99
% match vs all users
30. North Alpine Bronze Age (1815 BC) ..... 10.53 - AITI_72 -
Top
99
% match vs all users
31. Girona Sant Julia de Ramis (1060 AD) ..... 10.68 - I10853 -
Top
99
% match vs all users
32. Late Medieval Cancelleria Basilica (1485 AD) ..... 10.71 - R1221 -
Top
97
% match vs all users
33. Gallo-Roman Celt Mix Iberia (80 AD) ..... 10.87 - I10866 -
Top
98
% match vs all users
34. Villanovan Etruscan Italy VGG (850 BC) ..... 10.94 - R1015 -
Top
99
% match vs all users
35. Medieval France Saint-Laurent-de-la-Cabrerisse (1348 AD) ..... 11.02 - SLC1006 - ?
Top
98
% match vs all users
36. Ilergetes Outlier Catalan (440 BC) ..... 11.04 - I12410 -
Top
99
% match vs all users
37. Niedertiefenbach Western Germany (3200 BC) ..... 11.2 - Niedertiefenbach1 - ?
Top
100
% match vs all users
38. Celtoiberian Outlier Roman Empire VP (100 AD) ..... 11.23 - R116 -
Top
99
% match vs all users
39. Celtibertian Mix (275 BC) ..... 11.33 - I8203 -
Top
99
% match vs all users
40. North Alpine Bronze Age (1677 BC) ..... 11.58 - AITI_98 -
Top
99
% match vs all users
41. Late Medieval Villa Magna Italy (1355 AD) ..... 11.67 - R55 -
Top
96
% match vs all users
42. Portuguese Cordoba Caliphate (1050 AD) ..... 11.74 - I12514 -
Top
96
% match vs all users
43. Iron Age Catalan (620 BC) ..... 11.86 - I12640 -
Top
99
% match vs all users
44. Iron Age Catalan (680 BC) ..... 11.89 - I12641 -
Top
99
% match vs all users
45. Latin Tribe Ardea (650 BC) ..... 11.91 - R851 -
Top
99
% match vs all users
46. Portuguese Cordoba Caliphate (1050 AD) ..... 11.96 - I12516 -
Top
98
% match vs all users
47. North Alpine Bronze Age (1797 BC) ..... 11.96 - AITI_66 -
Top
99
% match vs all users
48. Etruscan Civitavecchia (650 BC) ..... 12.01 - R473 -
Top
99
% match vs all users
49. Bronze Age Northern Spain (1440 BC) ..... 12.05 - I2472 -
Top
99
% match vs all users
50. Illyrian / Dalmatian (1600 BC) ..... 12.11 - I4332 -
Top
97
% match vs all users
51. Iberian / Piedmont (580 AD) ..... 12.19 - CL94 -
Top
95
% match vs all users
52. Roman Era Girona (80 AD) ..... 12.31 - I8339 -
Top
99
% match vs all users
53. Late Medieval Cancelleria Basilica (1429 AD) ..... 12.44 - R1289 -
Top
99
% match vs all users
54. North Alpine Middle Bronze Age (1563 BC) ..... 12.66 - OTTM_151ind2 -
Top
99
% match vs all users
55. Illyrian / Dalmatian (1600 BC) ..... 12.69 - I4331 -
Top
96
% match vs all users
56. Western Scythian Outlier Hungary (550 BC) ..... 12.71 - DA198 -
Top
98
% match vs all users
57. Vascones Tribe Vasconia (280 BC) ..... 12.78 - I3759 -
Top
99
% match vs all users
58. Iberian Cordoba Caliphate (1050 AD) ..... 12.84 - I7498 -
Top
96
% match vs all users
59. North Alpine Bronze Age (1950 BC) ..... 13.04 - AITI_70 -
Top
99
% match vs all users
60. Frankish-Gaul / Lombardy Italy (580 AD) ..... 13.05 - CL47b
Top
75
% match vs all users
61. Vasconic Tribe Empuries (275 BC) ..... 13.19 - I8214 -
Top
99
% match vs all users
62. Ilergetes Tribe Catalan (440 BC) ..... 13.59 - I12878 -
Top
99
% match vs all users
63. Late Roman Mix Crypta Balbi (500 AD) ..... 13.64 - R105 -
Top
97
% match vs all users
64. Alemannic Bavaria (450 AD) ..... 13.8 - BIM33
Top
92
% match vs all users
65. North Alpine Bronze Age (1790 BC) ..... 13.82 - AITI_78 -
Top
70
% match vs all users
66. Bronze Age Northern Spain (1560 BC) ..... 13.84 - VAD001 -
Top
99
% match vs all users
67. Latin Aristocrat Castel di Decima (800 BC) ..... 13.85 - R1016 -
Top
99
% match vs all users
68. Tartessian Archaic Andalusia (600 BC) ..... 13.88 - I12561 -
Top
99
% match vs all users
69. Vasconic Tribe (275 BC) ..... 13.88 - I8209 -
Top
99
% match vs all users
70. Iberian Taifa of Valencia (1200 AD) ..... 13.9 - I2649
Top
96
% match vs all users
71. Ilergetes Tribe Catalan (200 BC) ..... 13.9 - I3320 -
Top
99
% match vs all users
72. Rugii Tribe Oder-Vistula (135 AD) ..... 13.9 - PCA36 - ?
Top
86
% match vs all users
73. Bronze Age Haunstetten Germany (1966 BC) ..... 14.06 - POST_28 -
Top
93
% match vs all users
74. Niedertiefenbach Western Germany (3200 BC) ..... 14.21 - Niedertiefenbach27 - ?
Top
99
% match vs all users
75. Boscombe Bowmen Amesbury (2300 BC) ..... 14.35 - I2416-BB -
Top
99
% match vs all users
76. Bronze Age Northern Spain (1440 BC) ..... 14.49 - I1840 -
Top
99
% match vs all users
77. Franco Medieval Villa Magna Italy (1215 AD) ..... 14.56 - R62 -
Top
52
% match vs all users
78. Thraco-Cimmerian Black Sea (900 BC) ..... 14.68 - MJ12 -
Top
98
% match vs all users
79. Scythian Southern Moldova (290 BC) ..... 14.69 - scy197b - ?
Top
94
% match vs all users
80. High Status North Alpine Bronze Age (1789 BC) ..... 14.7 - AITI_119 -
Top
98
% match vs all users
81. North Alpine Bronze Age (1752 BC) ..... 14.79 - AITI_120 -
Top
83
% match vs all users
82. Basque Carolingian (650 AD) ..... 14.85 - I3777 -
Top
99
% match vs all users
83. Crusader Knight French / Lebanon (1250 AD) ..... 14.92 - SI-40 -
Top
98
% match vs all users
84. Niedertiefenbach Western Germany (3200 BC) ..... 15.05 - Niedertiefenbach37 - ?
Top
99
% match vs all users
85. Scythian Outlier Hungary (550 BC) ..... 15.06 - DA195 -
Top
96
% match vs all users
86. Germanic Mixed Tribe (505 AD) ..... 15.18 - AED513 - ?
Top
85
% match vs all users
87. Vascones Tribe Vasconia (280 BC) ..... 15.23 - I3758 -
Top
99
% match vs all users
88. Vascones Tribe (460 BC) ..... 15.29 - I12879 -
Top
99
% match vs all users
89. Ilercavones Catalan (200 BC) ..... 15.43 - I3321 -
Top
99
% match vs all users
90. North Alpine Bronze Age (1788 BC) ..... 15.47 - AITI_40 -
Top
82
% match vs all users
91. Early Medieval Andalusia (760 AD) ..... 15.58 - I3585 -
Top
95
% match vs all users
92. Portugal Bronze Age (1600 BC) ..... 15.62 - VO10207
Top
99
% match vs all users
93. Spaniard Cordoba Caliphate (1050 AD) ..... 15.74 - I12515 -
Top
92
% match vs all users
94. Scythian Southern Moldova (270 BC) ..... 15.75 - scy192 -
Top
94
% match vs all users
95. Carolingian (790 AD) ..... 15.76 - I7675 -
Top
99
% match vs all users
96. Late Medieval Cancelleria Basilica (1485 AD) ..... 15.77 - R1220 -
Top
59
% match vs all users
97. Le Mans Revolutionary France (1793 AD) ..... 15.8 - LM_306_T -
Top
50
% match vs all users
98. Bronze Age Spain Cogotas I (1500 BC) ..... 15.81 - I3493 -
Top
99
% match vs all users
99. Roman Villa Granada Spain (300 AD) ..... 15.88 - I4055 -
Top
96
% match vs all users
100. Greuthungi / Ostrogoth (310 AD) ..... 15.97 - MJ37 -
Top
65
% match vs all users
101. Girona Sant Julia de Ramis (990 AD) ..... 15.99 - I10892 -
Top
97
% match vs all users
102. Ilergetes Tribe Catalan (280 BC) ..... 16.02 - I3327 -
Top
99
% match vs all users
103. Illyrian / Dalmatian (1200 BC) ..... 16.29 - I3313 -
Top
89
% match vs all users
104. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 16.33 - I3499 -
Top
95
% match vs all users
105. Tartessian Archaic Andalusia (600 BC) ..... 16.49 - I12171 -
Top
99
% match vs all users
106. Iberian Taifa of Valencia (1120 AD) ..... 16.5 - I2514
Top
92
% match vs all users
107. Late Medieval Cancelleria Basilica (1429 AD) ..... 16.54 - R1287 -
Top
94
% match vs all users
108. Iberian Taifa of Valencia (1100 AD) ..... 16.54 - I2515
Top
91
% match vs all users
109. Marseilles Plague Victim (1721 AD) ..... 16.62 - OBS116 - ?
Top
56
% match vs all users
110. Hispano-Roman Taifa of Valencia (1200 AD) ..... 16.64 - I12647 -
Top
94
% match vs all users
111. Carthago-Maghrebi Andalusia (1200 AD) ..... 16.85 - I7457 -
Top
97
% match vs all users
112. Bronze Age Northern Spain (1560 BC) ..... 16.86 - VAD005 -
Top
99
% match vs all users
113. Roman-Carthago Mix Iberia (80 AD) ..... 16.86 - I8475 -
Top
97
% match vs all users
114. Basque Carolingian (790 AD) ..... 16.95 - I7673 -
Top
99
% match vs all users
115. Scythian Southern Moldova (290 BC) ..... 16.98 - scy305 -
Top
94
% match vs all users
116. Gallo-Roman (590 AD) ..... 17.03 - SZ28 - ?
Top
90
% match vs all users
117. Medieval Taifa of Valencia (1200 AD) ..... 17.18 - I12649 -
Top
90
% match vs all users
118. Niedertiefenbach Western Germany (3200 BC) ..... 17.24 - Niedertiefenbach33 - ?
Top
99
% match vs all users
119. Niedertiefenbach Western Germany (3200 BC) ..... 17.29 - Niedertiefenbach20
Top
99
% match vs all users
120. El Sotillo Basque Country (875 BC) ..... 17.38 - I2469 -
Top
99
% match vs all users
121. Italy Bell Beaker (2000 BC) ..... 17.39 - I2478 -
Top
99
% match vs all users
122. Medieval Cancelleria Basilica (1005 AD) ..... 17.61 - R1285 -
Top
96
% match vs all users
123. Ilergetes Tribe Catalan (440 BC) ..... 17.63 - I12877 -
Top
99
% match vs all users
124. Medieval Taifa of Valencia (1200 AD) ..... 17.67 - I12645 -
Top
95
% match vs all users
125. Iberian Taifa of Valencia (1200 AD) ..... 17.83 - I2647
Top
93
% match vs all users
126. Medieval Hungary / Balkan (1244 AD) ..... 17.84 - DA199 -
Top
55
% match vs all users
127. Roman/Illyrian Celio Military Hospital (500 AD) ..... 18.06 - R36 -
Top
90
% match vs all users
128. Visigoth Frankish Girona (550 AD) ..... 18.06 - I12032 -
Top
37
% match vs all users
129. Hispano-Roman Taifa of Valencia (1200 AD) ..... 18.06 - I12644 -
Top
94
% match vs all users
130. Post Medieval Ellwangen Germany (1550 AD) ..... 18.09 - ELW098A_549O
Top
99
% match vs all users
131. Hispano-Roman-Mehrebi Cordoba Caliphate (950 AD) ..... 18.22 - I7497 -
Top
96
% match vs all users
132. Alemanni Celtic Warrior (605 AD) ..... 18.26 - NS10 - ?
Top
81
% match vs all users
133. Scythian Moldova (290 BC) ..... 18.26 - scy311 -
Top
40
% match vs all users
134. Scythian Southern Moldova (290 BC) ..... 18.4 - scy300 -
Top
94
% match vs all users
135. Pre-Slav Medieval Poland (1100 AD) ..... 18.47 - PCA157_Mar6 - ?
Top
97
% match vs all users
136. Bell Beaker Southern France (2120 BC) ..... 18.59 - I3874 -
Top
62
% match vs all users
137. Germanic Tribe Crypta Balbi (500 AD) ..... 18.65 - R106 -
Top
47
% match vs all users
138. North Alpine Bronze Age (1791 BC) ..... 18.66 - AITI_2 -
Top
58
% match vs all users
139. Czech Velke Prilepy (2050 BC) ..... 18.69 - Rise577 -
Top
39
% match vs all users
140. Roman Villa Granada Spain (300 AD) ..... 18.76 - I3982 -
Top
94
% match vs all users
141. Oxford Infirmiary (1790 AD) ..... 18.8 - CSD - ?
Top
52
% match vs all users
142. Iberian Taifa of Valencia (1200 AD) ..... 18.81 - I2644
Top
93
% match vs all users
143. Bronze Age Koenigsbrunn Germany (2012 BC) ..... 18.89 - OBKR_50 -
Top
98
% match vs all users
144. Marseilles Plague Victim (1721 AD) ..... 18.93 - OBS137 - ?
Top
80
% match vs all users
145. Roman Villa Tarragona (350 AD) ..... 18.94 - I6490 -
Top
99
% match vs all users
146. Early Medieval Iberia Granada (500 AD) ..... 18.95 - I3981 -
Top
91
% match vs all users
147. Medieval Piedmont (580 AD) ..... 18.96 - CL57 -
Top
59
% match vs all users
148. Niedertiefenbach Western Germany (3200 BC) ..... 18.96 - Niedertiefenbach10 - ?
Top
99
% match vs all users
149. Medieval Iberian (580 AD) ..... 19.05 - CL23 -
Top
90
% match vs all users
150. Frankish-Gaul / Lombardy Italy (580 AD) ..... 19.2 - CL47 - ?
Top
34
% match vs all users
151. Halstatt Celt (775 BC) ..... 19.32 - DA111 -
Top
91
% match vs all users
152. Viking Gaelic Mix Iceland (935 AD) ..... 19.38 - GTE-A1 -
Top
40
% match vs all users
153. North Alpine Bronze Age (1755 BC) ..... 19.45 - AITI_95 -
Top
99
% match vs all users
154. Late Medieval Cancelleria Basilica (1440 AD) ..... 19.52 - R1219 -
Top
42
% match vs all users
155. Swiss Germanic (580 AD) ..... 19.54 - CL102 - ?
Top
33
% match vs all users
156. Medieval Taifa of Valencia (1200 AD) ..... 19.56 - I12648 -
Top
44
% match vs all users
157. Pre-Indo European Tribe (1440 BC) ..... 19.66 - I2470 -
Top
99
% match vs all users
158. Western Scythian Hungary (550 BC) ..... 19.69 - DA194 -
Top
41
% match vs all users
159. Cisalpine Gaul (590 AD) ..... 19.93 - SZ45 -
Top
40
% match vs all users
160. Bronze Age Northern Spain (1560 BC) ..... 19.97 - VAD004 -
Top
99
% match vs all users
161. North Alpine Middle Bronze Age (1525 BC) ..... 20.07 - OTTM_156 -
Top
99
% match vs all users
162. Pre-Indo European Tribe (1440 BC) ..... 20.13 - I2471 -
Top
99
% match vs all users
163. Ostrogoth Mix (495 AD) ..... 20.14 - AEH_1 - ?
Top
92
% match vs all users
164. Carthago Outlier Roman Empire VP (100 AD) ..... 20.15 - R111 -
Top
94
% match vs all users
165. Cueva de la Paloma Spain (3250 BC) ..... 20.17 - I3214 -
Top
99
% match vs all users
166. Bronze Age Valencia Lloma de Betxi (1841 BC) ..... 20.17 - I3997 -
Top
99
% match vs all users
167. Bell Beaker Haunstetten Germany (1873 BC) ..... 20.31 - UNTA58_153 -
Top
87
% match vs all users
168. North Roman Warrior (590 AD) ..... 20.49 - NS3c - ?
Top
86
% match vs all users
169. Bronze Age Amesbury (1450 BC) ..... 20.52 - I2458 -
Top
39
% match vs all users
170. Pre-Roman Girona (280 BC) ..... 20.53 - I3323 -
Top
99
% match vs all users
171. Germanic Medieval Cancelleria Basilica (1429 AD) ..... 20.62 - R1288 -
Top
44
% match vs all users
172. North Central Lombard (580 AD) ..... 20.63 - CL63 - ?
Top
30
% match vs all users
173. Celtic-Mix Visigoth Girona Spain (550 AD) ..... 20.75 - I12164 -
Top
48
% match vs all users
174. Protovillanovia Martinsicuro (930 BC) ..... 20.8 - R1 -
Top
82
% match vs all users
175. Visigoth Germanic Girona (550 AD) ..... 20.84 - I12162 -
Top
34
% match vs all users
176. Niedertiefenbach Western Germany (3200 BC) ..... 20.89 - Niedertiefenbach21 - ?
Top
99
% match vs all users
177. Frankish / Hungary (590 AD) ..... 20.94 - SZ23 -
Top
33
% match vs all users
178. Morisco Convert Andalusia (1550 AD) ..... 21.04 - I7425 -
Top
86
% match vs all users
179. Bell Beaker Southern France (2050 BC) ..... 21.2 - I3875 -
Top
40
% match vs all users
180. Late Roman Iberia Granada (500 AD) ..... 21.24 - I3582 -
Top
89
% match vs all users
181. Bronze Age Haunstetten Germany (1975 BC) ..... 21.31 - POST_35 -
Top
44
% match vs all users
182. Bronze Age Loma del Puerco (1800 BC) ..... 21.32 - I7162 -
Top
99
% match vs all users
183. Bell Beaker France (2300 BC) ..... 21.36 - I1388 -
Top
99
% match vs all users
184. Bell Beaker Scotland (2145 BC) ..... 21.52 - I5471 -
Top
33
% match vs all users
185. Medieval Cambridge Plague Victim (1350 AD) ..... 21.57 - NMA003A
Top
58
% match vs all users
186. Proto-Celtic Child Bronze Age Wehringen (1957 BC) ..... 21.59 - WEHR_1415child -
Top
44
% match vs all users
187. Viking Saxon Iceland (1104 AD) ..... 21.67 - TSK-A26 -
Top
38
% match vs all users
188. Saxon Settler Viking Iceland (935 AD) ..... 21.72 - GRS-A1 -
Top
38
% match vs all users
189. Medieval Cancelleria Basilica (860 AD) ..... 21.75 - R1283 -
Top
90
% match vs all users
190. Late Roman Iberia Granada (470 AD) ..... 21.84 - I3576 -
Top
88
% match vs all users
191. Viking Gaelic Mix Iceland (935 AD) ..... 21.91 - NTR-A2 -
Top
47
% match vs all users
192. Celtiberian Alemannic Mix (520 AD) ..... 21.96 - STR_535 -
Top
81
% match vs all users
193. Bronze Age Dagger Koenigsbrunn (2046 BC) ..... 22.04 - OBKR_80 -
Top
37
% match vs all users
194. Bronze Age Spain Cogotas I (1500 BC) ..... 22.07 - I3490 -
Top
99
% match vs all users
195. Celtiberian Northern Spain (350 BC) ..... 22.11 - I3757 -
Top
99
% match vs all users
196. Celtic Medieval Denmark Ribe (1305 AD) ..... 22.13 - G397 -
Top
45
% match vs all users
197. Iberia Bronze Age (1600 BC) ..... 22.15 - ATP9 -
Top
99
% match vs all users
198. Celtic Briton Gladiator York (250 AD) ..... 22.2 - 6DRIF-22 -
Top
33
% match vs all users
199. Nordic Lombard (590 AD) ..... 22.2 - SZ8 -
Top
43
% match vs all users
200. Western Scythian Mix Hungary (550 BC) ..... 22.22 - DA197 -
Top
37
% match vs all users
https://1.bp.blogspot.com/-a6cWTbJeQZM/XiGzdFrAbyI/AAAAAAAACNU/SZFZIUMIkHYWVtkJuYW263XB940bq5dtACLcBGAsYHQ/s1600/PCAmodern.jpeg
Mine
https://1.bp.blogspot.com/-6c7W_U-GZJ4/XiG16zyzhwI/AAAAAAAACNg/Qn70AgsiV5A7VN8j2Q_kxYTW1hFOTF-oQCLcBGAsYHQ/s1600/PCAmodernM%25C3%258DAenero2019.jpeg
At the moment the samples with which I get more snp in this case at 400 snp
https://1.bp.blogspot.com/-PYItAmtBfJE/XiGubpgcYHI/AAAAAAAACNA/ndIVrbXjt-QM3vdTftIlDDgTZke5sLbGwCLcBGAsYHQ/s1600/MedievalVillaMagnaItalyANDImperialRomeMausoleo400s np%252Cjpeg.jpg
and 300 snp
https://1.bp.blogspot.com/-TQz32849zH8/XiGueykR8bI/AAAAAAAACNE/_gAf2oW2qusxl-NkcOIqvnGGKSpfaerPgCLcBGAsYHQ/s1600/NeolithicIrelandBallynahatty300snp.jpg
New Deep Dive for me
https://1.bp.blogspot.com/-fs-jKaXJW_k/XiHVg8OnRhI/AAAAAAAACQA/FPHeiU1AJvQL1WR9BAzY8H5r5jN415kuQCLcBGAsYHQ/s1600/IberianSttlementCataloniaSpainI3496.JPEG
https://1.bp.blogspot.com/-dmXFU07ZgR0/XiHXIF57-8I/AAAAAAAACSo/JTxJTg4eEekwKS4A6oz28QakIm-E4fMtwCLcBGAsYHQ/s1600/SantJuliadeRamisI10853.JPEG
https://1.bp.blogspot.com/-wAyIOF6xS2Q/XiHXL1Ko6DI/AAAAAAAACSw/PGmTX_nSrPAnk-jFKGqZ1Jw-8H4e58R_ACLcBGAsYHQ/s1600/SantJuliadeRamisI10895.JPEG
https://1.bp.blogspot.com/-iE6qVN_6Rnc/XiHYB3GH_TI/AAAAAAAACUM/7X-dVvr9vv0YZdDI7dksXQWrMpUSoyQ2QCLcBGAsYHQ/s1600/VisigothGermanicGironaI12152.JPEG
Comparation between my kit and Kit: Medieval Villa Magna Italy (R63) (https://mytrueancestry.com/c/main.py#)
https://1.bp.blogspot.com/-e7Jx7D-Oo7c/XiJdFuRy7dI/AAAAAAAACVA/wPq-pKz84NcGbDHSNo-l4z0l9GTlNjPUwCLcBGAsYHQ/s1600/comparationYOwhithVillaMagnaR63.JPEG
I see that we agree in La Cueva de la Paloma, Visigoth, Gallo-Roman, Le Mans revolutionary, Etruscan and Cógotas (Vettones).
https://mytrueancestry.com/img/TrophyGold.png You are the #1 top match to this sample! :)
You are #1 among 895 other users who also have a deep dive match with this sample. This makes your relationship to this individual very unique. Full research for this sample is activated for you regardless of your access level ...
https://i.imgur.com/Rx0phiY.gif
MTA - most recent results.
https://i.imgur.com/TqTJEe6.png
https://i.imgur.com/B6HoyCU.png
https://i.imgur.com/A0bogN3.png
https://i.imgur.com/GCD1Yem.png
https://i.imgur.com/FesWZSS.png
I have not any match 100%. :useless::grin::smile:
Kit: Medieval Villa Magna Italy (R63) (https://mytrueancestry.com/c/main.py#)Medical Analysis
SNP: rs12979860 (https://www.snpedia.com/index.php/rs12979860) (CC) - Relevance:9.2
~80% of such hepatitis c patients respond to treatmentSNP: rs9939609 (https://www.snpedia.com/index.php/rs9939609) (TA) - Relevance:7.2
1.3x risk for t2d; obesity riskSNP: gs153 (https://www.snpedia.com/index.php/gs153) (Positive) - Relevance:5.0
Ultra fast metabolismSNP: gs156a (https://www.snpedia.com/index.php/gs156a) (Positive) - Relevance:5.0
Fast metabolismSNP: rs6983267 (https://www.snpedia.com/index.php/rs6983267) (GT) - Relevance:3.2
1.3x risk of prostate cancer; aspirin reduces risk of colorectal cancerSNP: rs738409 (https://www.snpedia.com/index.php/rs738409) (CC) - Relevance:2.9
Higher odds of alcoholic liver disease, increased liver fatSNP: rs1042522 (https://www.snpedia.com/index.php/rs1042522) (CC) - Relevance:2.8
Live 3 years longer. chemotherapy is more effective.SNP: rs8050136 (https://www.snpedia.com/index.php/rs8050136) (CA) - Relevance:2.7
1.2x increased risk for t2d in some populationsSNP: rs7412 (https://www.snpedia.com/index.php/rs7412) (CC) - Relevance:2.4
More likely to gain weight if taking olanzapineSNP: rs17782313 (https://www.snpedia.com/index.php/rs17782313) (CC) - Relevance:2.2
Adults likely to be 0.44 bmi units higherSNP: rs1061170 (https://www.snpedia.com/index.php/rs1061170) (CT) - Relevance:2.1
2.5x risk for amd; higher mortality among nonagenariansSNP: rs13266634 (https://www.snpedia.com/index.php/rs13266634) (CC) - Relevance:2.0
Increased risk for type-2 diabetesSNP: rs671 (https://www.snpedia.com/index.php/rs671) (GG) - Relevance:1.8
Alcohol flush: normal, doesn\'t flush. normal hangovers. normal risk of alcoholism. normal risk of esophageal cancer. disulfiram is effective for alcoholism.SNP: rs2032582 (https://www.snpedia.com/index.php/rs2032582) (AA) - Relevance:1.7
Rare genotype, on a triallelic snpSNP: rs53576 (https://www.snpedia.com/index.php/rs53576) (GG) - Relevance:1.6
Optimistic and empathetic; handle stress well}}the one in four subjects who inherited a variation in this allele called g/g were significantly better at accurately reading the emotions of others by observing their faces than were the remaining three-quarters of subjects, who had inherited either a pair of a's or an a and a g from their parents at this site. compared to the three-fourths with a/a or a/g variations, the g/g individuals were also less likely to startle when blasted by a loud noise, or to become stressed at the prospect of such a noise. and by their own reports, the g/g subjects were mellower and more attuned to other people than were the a/as or a/gs. [http://latimesblogs.latimes.com/booster_shots/2009/11/do-these-genes-make-my-heart-seem-big-study-finds-a-gene-for-empathy-.html news]-------effect on parental sensitivitycontrolling for maternal education, depression and marital discord, oxtr [f(1,152)=4.32, p=0.04, partial n2=0.03]gene was significantly associated with maternal sensitivity. mothers with oxtr aa or ag genotypes were less sensitive than mothers with the gg genotype. the genetic difference accounts for 3% influence on variation in sensitive parenting. [bakermans-kranenburg mj, van ijzendoorn mh. oxytocin receptor (oxtr) and serotonin transporter (5-htt) genes associated with observed parenting. soc cogn affect neurosci. 2008 jun;3(2):128-34.]in another study, heart rate responses of 40 healthy females without children were measured during the presentation of three episodes of infant cry sounds. participants with the presumably more efficient variant of the oxytonergic system gene (oxtr gg) had more pronounced physiological reactivity to repeated cry sounds, except when they showed more symptoms of depression.[riem mm, pieper s, out d, bakermans-kranenburg mj, van ijzendoorn mh. oxytocin receptor gene and depressive symptoms associated with physiological reactivity to infant crying. soc cogn affect neurosci. 2010 apr 16.][http://newsroom.ucla.edu/portal/ucla/ucla-life-scientists-discover-215259.aspx optimism]yet another study ({{pmid|19934046|oa=1SNP: rs1800562 (https://www.snpedia.com/index.php/rs1800562) (GG) - Relevance:1.3
Not a c282y hemochromatosis carrier.SNP: rs7566605 (https://www.snpedia.com/index.php/rs7566605) (CC) - Relevance:1.3
Mixed evidence of increased obesity risk, may suppress excercise effects in menSNP: rs1799983 (https://www.snpedia.com/index.php/rs1799983) (TG) - Relevance:1.3
Increased risk of preeclampsiaSNP: rs3184504 (https://www.snpedia.com/index.php/rs3184504) (TT) - Relevance:1.3
Increased risk for celiac diseaseSNP: rs10811661 (https://www.snpedia.com/index.php/rs10811661) (TT) - Relevance:1.3
1.2x increased risk for type-2 diabetesSNP: rs16944 (https://www.snpedia.com/index.php/rs16944) (AA) - Relevance:1.2
Increased risk for osteoarthritisSNP: rs4402960 (https://www.snpedia.com/index.php/rs4402960) (GT) - Relevance:1.2
1.2x increased risk for type-2 diabetes, ~1x risk for gestational diabetesSNP: rs401681 (https://www.snpedia.com/index.php/rs401681) (CC) - Relevance:1.1
~1.2x increased risk for several types of cancerSNP: rs4939827 (https://www.snpedia.com/index.php/rs4939827) (TT) - Relevance:1.1
1x risk for colorectal cancerSNP: rs6897932 (https://www.snpedia.com/index.php/rs6897932) (CC) - Relevance:1.1
1.5x increased risk for multiple sclerosisSNP: rs12913832 (https://www.snpedia.com/index.php/rs12913832) (AA) - Relevance:1.0
Brown eye color, 80% of the timeSNP: rs599839 (https://www.snpedia.com/index.php/rs599839) (AA) - Relevance:1.0
1.4x increased risk for heart diseaseSNP: rs6311 (https://www.snpedia.com/index.php/rs6311) (CC) - Relevance:0.9
3.6x increased risk of sexual dysfunction when taking ssri antidepressants.SNP: rs5219 (https://www.snpedia.com/index.php/rs5219) (TT) - Relevance:0.8
2.5x increased risk for type-2 diabetesSNP: rs17070145 (https://www.snpedia.com/index.php/rs17070145) (CC) - Relevance:0.8
Reduced memory abilitiesSNP: rs9340799 (https://www.snpedia.com/index.php/rs9340799) (AA) - Relevance:0.8
Women have lower risk of endometriosis but normal risk for endometrial cancer, and more cognitive impairment with age.SNP: rs9923231 (https://www.snpedia.com/index.php/rs9923231) (CT) - Relevance:0.8
Reduced warfarin dose if treated for vteSNP: rs2200733 (https://www.snpedia.com/index.php/rs2200733) (CC) - Relevance:0.8
0.86x decreased risk of atrial fibrillationSNP: rs1042713 (https://www.snpedia.com/index.php/rs1042713) (GA) - Relevance:0.8
1.3x increased risk that pediatric inhaler use may make asthma worseSNP: rs7756992 (https://www.snpedia.com/index.php/rs7756992) (AG) - Relevance:0.8
1.3x increased risk for type-2 diabetesSNP: rs1799971 (https://www.snpedia.com/index.php/rs1799971) (AG) - Relevance:0.8
Stronger cravings for alcohol. if alcoholic, naltrexone treatment 2x more successfulSNP: rs2230199 (https://www.snpedia.com/index.php/rs2230199) (GC) - Relevance:0.8
1.6x+ risk of armdSNP: rs16891982 (https://www.snpedia.com/index.php/rs16891982) (GG) - Relevance:0.8
Generally european; light skin; possibly an increased risk of melanoma}}this snp is associated with skin, hair, and eye colour, and risk of melanoma. individuals with the g;g genotype are generally of european descent and have fair skin.{{pmid auto|pmid=19710684|oa=1SNP: rs5186 (https://www.snpedia.com/index.php/rs5186) (AC) - Relevance:0.7
~1.4x increased risk of hypertensionSNP: rs4343 (https://www.snpedia.com/index.php/rs4343) (GG) - Relevance:0.7
Usually the ace alu deletion; better strength vs endurance;SNP: rs4570625 (https://www.snpedia.com/index.php/rs4570625) (GG) - Relevance:0.7
Maybe: higher scores on anxiety-related personality traits; greater placebo response}}one study of (only) 25 people {{pmid|19052197SNP: rs1048661 (https://www.snpedia.com/index.php/rs1048661) (GG) - Relevance:0.7
Possibly higher glaucoma risk?SNP: rs7517847 (https://www.snpedia.com/index.php/rs7517847) (GG) - Relevance:0.7
0.65x reduced risk for crohn's diseaseSNP: rs7923837 (https://www.snpedia.com/index.php/rs7923837) (GA) - Relevance:0.7
1.6x risk for t2dSNP: rs10889677 (https://www.snpedia.com/index.php/rs10889677) (CC) - Relevance:0.7
1x increased risk for certain autoimmune diseases; 2.3x increased risk for graves diseaseSNP: rs505922 (https://www.snpedia.com/index.php/rs505922) (TT) - Relevance:0.7
Blood type oSNP: rs6280 (https://www.snpedia.com/index.php/rs6280) (CC) - Relevance:0.7
Better response to olanzapineSNP: rs266729 (https://www.snpedia.com/index.php/rs266729) (CG) - Relevance:0.7
0.73x decreased risk for colorectal cancerSNP: rs1143679 (https://www.snpedia.com/index.php/rs1143679) (GA) - Relevance:0.6
1.78x increased risk for sleSNP: rs12970134 (https://www.snpedia.com/index.php/rs12970134) (AA) - Relevance:0.6
Adult waist 1.8cm larger on averageSNP: rs889312 (https://www.snpedia.com/index.php/rs889312) (CC) - Relevance:0.6
Very slightly higher risk for breast cancerSNP: rs9652490 (https://www.snpedia.com/index.php/rs9652490) (AA) - Relevance:0.6
~2x increased risk for parkinson's disease, and, essential tremorSNP: rs2943641 (https://www.snpedia.com/index.php/rs2943641) (CC) - Relevance:0.6
Increased risk for type 2 diabetesSNP: rs1042714 (https://www.snpedia.com/index.php/rs1042714) (GC) - Relevance:0.6
Complex; see details for increased risksSNP: rs2275913 (https://www.snpedia.com/index.php/rs2275913) (GA) - Relevance:0.6
1.4x increased gastric cancer risk. increased risk of acute graft-versus-host disease after unrelated bone marrow transplantationSNP: rs1426654 (https://www.snpedia.com/index.php/rs1426654) (AA) - Relevance:0.6
Probably light-skinned, european ancestrySNP: rs17576 (https://www.snpedia.com/index.php/rs17576) (GG) - Relevance:0.6
Higher risk for lung cancer, and copd in smokers; normal risk for miSNP: rs763361 (https://www.snpedia.com/index.php/rs763361) (TT) - Relevance:0.6
Increased risk for multiple autoimmune diseasesSNP: rs5498 (https://www.snpedia.com/index.php/rs5498) (AG) - Relevance:0.6
0.6x decreased risk for diabetic nephropathy in females with type-1 diabetes; 1.9x increased malaria riskSNP: rs334558 (https://www.snpedia.com/index.php/rs334558) (AA) - Relevance:0.5
Later onset of bipolar disorderSNP: rs174546 (https://www.snpedia.com/index.php/rs174546) (CT) - Relevance:0.5
TriglyceridesSNP: rs3025058 (https://www.snpedia.com/index.php/rs3025058) (AA) - Relevance:0.5
5a/5a; higher mi risk?SNP: rs7578597 (https://www.snpedia.com/index.php/rs7578597) (TT) - Relevance:0.5
Type 2 diabetesSNP: rs13387042 (https://www.snpedia.com/index.php/rs13387042) (AA) - Relevance:0.5
1.24x increased risk for breast cancerSNP: rs7138803 (https://www.snpedia.com/index.php/rs7138803) (GG) - Relevance:0.5
Body mass indexSNP: rs3761847 (https://www.snpedia.com/index.php/rs3761847) (GA) - Relevance:0.5
1.32 x risk of rheumatoid arthritis.SNP: rs703842 (https://www.snpedia.com/index.php/rs703842) (AA) - Relevance:0.5
Multiple sclerosisSNP: rs356219 (https://www.snpedia.com/index.php/rs356219) (GG) - Relevance:0.5
1.6x increased risk for parkinson's diseaseSNP: rs4307059 (https://www.snpedia.com/index.php/rs4307059) (CC) - Relevance:0.5
Reduced autism riskSNP: rs1800947 (https://www.snpedia.com/index.php/rs1800947) (CC) - Relevance:0.5
Lower crp levelsSNP: rs7647305 (https://www.snpedia.com/index.php/rs7647305) (CC) - Relevance:0.5
Obesity riskSNP: rs762551 (https://www.snpedia.com/index.php/rs762551) (CA) - Relevance:0.5
Carrier of one cyp1a2*1f allele; slow caffeine metabolizer.SNP: rs12708716 (https://www.snpedia.com/index.php/rs12708716) (AG) - Relevance:0.5
1.2x risk of type-1 diabetesSNP: rs8176719 (https://www.snpedia.com/index.php/rs8176719) (TT) - Relevance:0.4
Likely to be of blood type oSNP: rs9934438 (https://www.snpedia.com/index.php/rs9934438) (AA) - Relevance:0.4
Coumadin resistanceSNP: rs5882 (https://www.snpedia.com/index.php/rs5882) (AA) - Relevance:0.4
Faster aging. increased risk for dementia. less good cholesterol.SNP: rs17465637 (https://www.snpedia.com/index.php/rs17465637) (CC) - Relevance:0.4
1.34x higher risk for myocardial infarctionSNP: rs5370 (https://www.snpedia.com/index.php/rs5370) (TT) - Relevance:0.4
Possibly lower hdl cholesterol in womenSNP: rs2237895 (https://www.snpedia.com/index.php/rs2237895) (AA) - Relevance:0.4
Type 2 diabetesSNP: rs1535 (https://www.snpedia.com/index.php/rs1535) (AG) - Relevance:0.4
4+ iq points for breastfeedingSNP: rs2815752 (https://www.snpedia.com/index.php/rs2815752) (AA) - Relevance:0.4
Body mass indexSNP: rs7927894 (https://www.snpedia.com/index.php/rs7927894) (CC) - Relevance:0.4
0.83x lower risk of atopic dermatitis.SNP: rs225014 (https://www.snpedia.com/index.php/rs225014) (CC) - Relevance:0.4
Hypothyroid patients might benefit from combination t4/t3 therapy (?)SNP: rs402710 (https://www.snpedia.com/index.php/rs402710) (CC) - Relevance:0.4
Common, but higher lung cancer risk ?SNP: rs6887695 (https://www.snpedia.com/index.php/rs6887695) (GG) - Relevance:0.4
1.4x increased risk of psoriasis, psoriatic arthritisSNP: rs1800972 (https://www.snpedia.com/index.php/rs1800972) (GG) - Relevance:0.4
Reduced risk for crohns disease; reduced risk for maternal hiv transmissionSNP: rs12248560 (https://www.snpedia.com/index.php/rs12248560) (TT) - Relevance:0.4
Cyp2c19*17 ultra fast metabolizer; drug metabolism effects; also 0.77x decreased breast cancer riskSNP: rs4444235 (https://www.snpedia.com/index.php/rs4444235) (TT) - Relevance:0.4
Colorectal cancerSNP: rs12980275 (https://www.snpedia.com/index.php/rs12980275) (AA) - Relevance:0.4
Lipid levels in hepatitis C treatmentSNP: rs2071746 (https://www.snpedia.com/index.php/rs2071746) (TT) - Relevance:0.4
May be part of gs124SNP: rs1470579 (https://www.snpedia.com/index.php/rs1470579) (CC) - Relevance:0.4
1.2x increased risk for type-2 diabetesSNP: rs4961 (https://www.snpedia.com/index.php/rs4961) (GT) - Relevance:0.4
1.8x increased risk for high blood pressureSNP: rs3764650 (https://www.snpedia.com/index.php/rs3764650) (TG) - Relevance:0.4
Late onset?SNP: rs5065 (https://www.snpedia.com/index.php/rs5065) (AA) - Relevance:0.4
1.12x risk on diuretic; if hypertensive, better outcome when treated with calcium channel blocker than with diureticSNP: rs965513 (https://www.snpedia.com/index.php/rs965513) (AA) - Relevance:0.4
3.5x increased thyroid cancer riskSNP: rs12143842 (https://www.snpedia.com/index.php/rs12143842) (CT) - Relevance:0.4
4.4ms qt interval duration increase on averageSNP: rs10246939 (https://www.snpedia.com/index.php/rs10246939) (TC) - Relevance:0.4
Can taste bitterSNP: rs1495741 (https://www.snpedia.com/index.php/rs1495741) (GG) - Relevance:0.4
Nat2 rapid metabolizer (predicted)SNP: rs3817198 (https://www.snpedia.com/index.php/rs3817198) (TT) - Relevance:0.4
Breast cancerSNP: rs6259 (https://www.snpedia.com/index.php/rs6259) (GG) - Relevance:0.4
Best inverse correlation between tea-drinking, soy-consuming premenopausal women and risk of endometrial cancerSNP: rs4633 (https://www.snpedia.com/index.php/rs4633) (CT) - Relevance:0.4
Higher risk for endometrial cancerSNP: rs13361189 (https://www.snpedia.com/index.php/rs13361189) (TC) - Relevance:0.4
1.3x increased risk for crohn's diseaseSNP: rs613872 (https://www.snpedia.com/index.php/rs613872) (GT) - Relevance:0.4
~5 fold higher risk for fuchs\' dystrophy, a corneal disorderSNP: rs7341475 (https://www.snpedia.com/index.php/rs7341475) (GG) - Relevance:0.4
1.58x increased schizophrenia risk for womenSNP: rs10883365 (https://www.snpedia.com/index.php/rs10883365) (GA) - Relevance:0.4
1.2x increased risk for developing crohn's diseaseSNP: rs2494732 (https://www.snpedia.com/index.php/rs2494732) (TT) - Relevance:0.4
Lower odds of psychosisSNP: rs4072037 (https://www.snpedia.com/index.php/rs4072037) (CC) - Relevance:0.4
Magnesium levelsSNP: rs2251746 (https://www.snpedia.com/index.php/rs2251746) (CC) - Relevance:0.4
Lowest ige levels
I will put it in several parts because it does not load it completely.
Kit: Medieval Villa Magna Italy (R63) (https://mytrueancestry.com/c/main.py#)
SNP: rs10505477 (https://www.snpedia.com/index.php/rs10505477) (AG) - Relevance:0.4
Colorectal cancerSNP: rs17822931 (https://www.snpedia.com/index.php/rs17822931) (CC) - Relevance:0.4
Wet earwax. normal body odour. normal colostrum.SNP: rs9642880 (https://www.snpedia.com/index.php/rs9642880) (GG) - Relevance:0.3
Slightly lower risk of bladder cancer.SNP: rs2420946 (https://www.snpedia.com/index.php/rs2420946) (TC) - Relevance:0.3
1.20x risk for breast cancerSNP: rs2304256 (https://www.snpedia.com/index.php/rs2304256) (CA) - Relevance:0.3
1.6x increased risk for sleSNP: rs2383207 (https://www.snpedia.com/index.php/rs2383207) (AG) - Relevance:0.3
Increased risk for heart diseaseSNP: rs10838738 (https://www.snpedia.com/index.php/rs10838738) (GG) - Relevance:0.3
Body mass indexSNP: rs7294919 (https://www.snpedia.com/index.php/rs7294919) (TT) - Relevance:0.3
Average hippocampal volumeSNP: rs7529229 (https://www.snpedia.com/index.php/rs7529229) (TT) - Relevance:0.3
2.5x lower risk for multiple myeloma versus ccSNP: rs7539542 (https://www.snpedia.com/index.php/rs7539542) (CC) - Relevance:0.3
0.51x decreased breast cancer riskSNP: rs872071 (https://www.snpedia.com/index.php/rs872071) (GG) - Relevance:0.3
~1.5x increased risk for chronic lymphocytic leukemiaSNP: rs4977756 (https://www.snpedia.com/index.php/rs4977756) (GA) - Relevance:0.3
1.2x higher risk for glioma developmentSNP: rs4553808 (https://www.snpedia.com/index.php/rs4553808) (AG) - Relevance:0.3
Possibly lower risk for myasthenia gravisSNP: rs31489 (https://www.snpedia.com/index.php/rs31489) (CC) - Relevance:0.3
Increased risk for lung cancer and emphysema}}{{pmid auto|pmid=21622582|title=the tert-clptm1l locus for lung cancer predisposes to bronchial obstruction and emphysemaSNP: rs12807809 (https://www.snpedia.com/index.php/rs12807809) (TT) - Relevance:0.3
SchizophreniaSNP: rs6060369 (https://www.snpedia.com/index.php/rs6060369) (CC) - Relevance:0.3
0.88cm tallerSNP: rs3020314 (https://www.snpedia.com/index.php/rs3020314) (CT) - Relevance:0.3
0.64x reduced lymphoma riskSNP: rs689 (https://www.snpedia.com/index.php/rs689) (TT) - Relevance:0.3
Type 1 diabetes autoantibodiesSNP: rs9300039 (https://www.snpedia.com/index.php/rs9300039) (CC) - Relevance:0.3
>1.5x risk for t2dSNP: rs6564851 (https://www.snpedia.com/index.php/rs6564851) (TG) - Relevance:0.3
Higher beta-carotene levelsSNP: rs1049296 (https://www.snpedia.com/index.php/rs1049296) (CC) - Relevance:0.3
C1 subtype of transferrin; common in clinvarSNP: rs356220 (https://www.snpedia.com/index.php/rs356220) (TT) - Relevance:0.3
Increased risk of parkinson's diseaseSNP: rs3846662 (https://www.snpedia.com/index.php/rs3846662) (AG) - Relevance:0.3
LDL cholesterolSNP: rs1800860 (https://www.snpedia.com/index.php/rs1800860) (AA) - Relevance:0.3
10% smaller kidneys as newbornsSNP: rs11218350 (https://www.snpedia.com/index.php/rs11218350) (TT) - Relevance:0.3
0.83x risk for alzheimersSNP: rs28940580 (https://www.snpedia.com/index.php/rs28940580) (CC) - Relevance:0.3
Can be ignored for nowSNP: rs9834312 (https://www.snpedia.com/index.php/rs9834312) (GG) - Relevance:0.3
TallerSNP: rs4775041 (https://www.snpedia.com/index.php/rs4775041) (GG) - Relevance:0.3
Highest phosphatidylethanolamine valuesSNP: rs11249433 (https://www.snpedia.com/index.php/rs11249433) (GG) - Relevance:0.3
Breast cancerSNP: rs6687758 (https://www.snpedia.com/index.php/rs6687758) (AA) - Relevance:0.3
Colorectal cancerSNP: rs63751449 (https://www.snpedia.com/index.php/rs63751449) (TT) - Relevance:0.3
Lynch syndrome; hereditary nonpolyposis colorectal cancer-1SNP: rs63749811 (https://www.snpedia.com/index.php/rs63749811) (TT) - Relevance:0.3
Lynch syndrome; hereditary nonpolyposis colorectal cancer (hnpcc1)SNP: rs3774426 (https://www.snpedia.com/index.php/rs3774426) (CC) - Relevance:0.3
Better response to certain calcium channel blockersSNP: rs1837253 (https://www.snpedia.com/index.php/rs1837253) (TT) - Relevance:0.3
Reduced risk (0.73) for late-onset (adult) asthmaSNP: rs2546890 (https://www.snpedia.com/index.php/rs2546890) (AA) - Relevance:0.3
Higher risk of multiple sclerosisSNP: rs7794745 (https://www.snpedia.com/index.php/rs7794745) (TT) - Relevance:0.3
Slightly increased risk for autismSNP: rs896854 (https://www.snpedia.com/index.php/rs896854) (TC) - Relevance:0.3
Type 2 diabetesSNP: rs1805388 (https://www.snpedia.com/index.php/rs1805388) (AA) - Relevance:0.3
Reduced risk of multiple myelomaSNP: rs7495174 (https://www.snpedia.com/index.php/rs7495174) (AA) - Relevance:0.3
Blue/gray eyes more likelySNP: rs13333226 (https://www.snpedia.com/index.php/rs13333226) (AA) - Relevance:0.3
Common but slightly higher risk for hypertensionSNP: rs8050894 (https://www.snpedia.com/index.php/rs8050894) (CG) - Relevance:0.3
Average warfarin response (~5 mg/day)SNP: rs4464148 (https://www.snpedia.com/index.php/rs4464148) (CC) - Relevance:0.3
1.35x increased risk for colorectal cancerSNP: rs8170 (https://www.snpedia.com/index.php/rs8170) (GG) - Relevance:0.3
Breast cancerSNP: rs440446 (https://www.snpedia.com/index.php/rs440446) (GG) - Relevance:0.3
Increased risk in men for biliary conditionsSNP: rs610604 (https://www.snpedia.com/index.php/rs610604) (TT) - Relevance:0.2
PsoriasisSNP: rs4917014 (https://www.snpedia.com/index.php/rs4917014) (GG) - Relevance:0.2
Systemic lupus erythematosusSNP: rs1800858 (https://www.snpedia.com/index.php/rs1800858) (GG) - Relevance:0.2
May predispose somehow to hirschsprung diseaseSNP: rs231362 (https://www.snpedia.com/index.php/rs231362) (AG) - Relevance:0.2
Type 2 diabetesSNP: rs4355801 (https://www.snpedia.com/index.php/rs4355801) (GG) - Relevance:0.2
Bone mineral densitySNP: rs12608932 (https://www.snpedia.com/index.php/rs12608932) (AA) - Relevance:0.2
Amyotrophic lateral sclerosisSNP: rs4925386 (https://www.snpedia.com/index.php/rs4925386) (CC) - Relevance:0.2
Colorectal cancerSNP: rs1410996 (https://www.snpedia.com/index.php/rs1410996) (GA) - Relevance:0.2
Age-related macular degenerationSNP: rs6435862 (https://www.snpedia.com/index.php/rs6435862) (GG) - Relevance:0.2
2.8x higher risk of aggressive neuroblastomaSNP: rs17388568 (https://www.snpedia.com/index.php/rs17388568) (GA) - Relevance:0.2
1.3x risk of type-1 diabetesSNP: rs7837688 (https://www.snpedia.com/index.php/rs7837688) (GG) - Relevance:0.2
1.7x increased risk for prostate cancerSNP: rs1954787 (https://www.snpedia.com/index.php/rs1954787) (CC) - Relevance:0.2
~10% more likely to respond to citalopramSNP: rs1012053 (https://www.snpedia.com/index.php/rs1012053) (CA) - Relevance:0.2
0.625x reduced risk of bipolar disorde
Kit: Medieval Villa Magna Italy (R63) (https://mytrueancestry.com/c/main.py#)
SNP: rs602662 (https://www.snpedia.com/index.php/rs602662) (GG) - Relevance:0.2
Lower vitamin b12 levelsSNP: rs2180439 (https://www.snpedia.com/index.php/rs2180439) (CC) - Relevance:0.2
Reduced risk of male pattern baldness.SNP: rs7014346 (https://www.snpedia.com/index.php/rs7014346) (AA) - Relevance:0.2
Colorectal cancerSNP: rs7850258 (https://www.snpedia.com/index.php/rs7850258) (AA) - Relevance:0.2
Slightly lower odds of developing primary hypothyroidism.SNP: rs3793784 (https://www.snpedia.com/index.php/rs3793784) (GC) - Relevance:0.2
1.5x risk for armdSNP: rs12896399 (https://www.snpedia.com/index.php/rs12896399) (GG) - Relevance:0.2
Light hair colorSNP: rs11634397 (https://www.snpedia.com/index.php/rs11634397) (GG) - Relevance:0.2
Type 2 diabetesSNP: rs8042680 (https://www.snpedia.com/index.php/rs8042680) (AA) - Relevance:0.2
Type 2 diabetesSNP: rs4785763 (https://www.snpedia.com/index.php/rs4785763) (AC) - Relevance:0.2
1.5x higher risk for melanomaSNP: rs1160312 (https://www.snpedia.com/index.php/rs1160312) (GG) - Relevance:0.2
Reduced risk of baldness.SNP: rs2250889 (https://www.snpedia.com/index.php/rs2250889) (CC) - Relevance:0.2
1.69x higher risk for lung cancerSNP: rs509749 (https://www.snpedia.com/index.php/rs509749) (AA) - Relevance:0.2
Common; slight increase in sle riskSNP: rs1061147 (https://www.snpedia.com/index.php/rs1061147) (CC) - Relevance:0.2
Reduced 0.34x risk of age related macular degeneration.SNP: rs6691170 (https://www.snpedia.com/index.php/rs6691170) (GG) - Relevance:0.2
Colorectal cancerSNP: rs10210302 (https://www.snpedia.com/index.php/rs10210302) (TT) - Relevance:0.2
1.8x riskSNP: rs13316193 (https://www.snpedia.com/index.php/rs13316193) (TT) - Relevance:0.2
Slight evidence indicating decreased oxtr expression, higher risk of depression, higher risk of autism spectrum disorder.}}{{pmid|22357335}} the association between oxytocin receptor gene polymorphism (oxtr) and trait empathy.{{pmid|17893705}} association between the oxytocin receptor (oxtr) gene and autism: relationship to vineland adaptive behavior scales and cognition.{{pmid|20346758}} genetics of human social behavior.{{pmid|22285934}} oxytocin and social affiliation in humans.{{pmid|23325323SNP: rs6812193 (https://www.snpedia.com/index.php/rs6812193) (CC) - Relevance:0.2
Slightly higher risk of developing parkinson's disease for caucasiansSNP: rs10260404 (https://www.snpedia.com/index.php/rs10260404) (TC) - Relevance:0.2
1.20x risk of developing alsSNP: rs1793004 (https://www.snpedia.com/index.php/rs1793004) (GG) - Relevance:0.2
0.89x decreased risk for crohn's diseaseSNP: rs931127 (https://www.snpedia.com/index.php/rs931127) (AA) - Relevance:0.2
2.15x more likely positive lymph nodeSNP: rs7101429 (https://www.snpedia.com/index.php/rs7101429) (AA) - Relevance:0.2
Higher alzheimer's risk if apoe4 also presentSNP: rs974819 (https://www.snpedia.com/index.php/rs974819) (CC) - Relevance:0.2
Coronary heart diseaseSNP: rs17580 (https://www.snpedia.com/index.php/rs17580) (TT) - Relevance:0.2
A slightly reduced functionality form of alpha-1 antitrypsin deficiencySNP: rs1676486 (https://www.snpedia.com/index.php/rs1676486) (AG) - Relevance:0.2
1.4x risk for ldhSNP: rs243021 (https://www.snpedia.com/index.php/rs243021) (GG) - Relevance:0.2
Type 2 diabetesSNP: rs766432 (https://www.snpedia.com/index.php/rs766432) (AA) - Relevance:0.2
Beta thalassemia/hemoglobin E diseaseSNP: rs2056202 (https://www.snpedia.com/index.php/rs2056202) (CC) - Relevance:0.2
Common but increased risk of autismSNP: rs1554483 (https://www.snpedia.com/index.php/rs1554483) (GG) - Relevance:0.2
1.8x higher risk for obesity if in haplotypeSNP: rs10069690 (https://www.snpedia.com/index.php/rs10069690) (CT) - Relevance:0.2
Breast cancerSNP: rs865686 (https://www.snpedia.com/index.php/rs865686) (GG) - Relevance:0.2
Breast cancerSNP: rs1537415 (https://www.snpedia.com/index.php/rs1537415) (GG) - Relevance:0.2
2x increased risk for periodontitisSNP: rs11169552 (https://www.snpedia.com/index.php/rs11169552) (CC) - Relevance:0.2
Colorectal cancerSNP: rs7172432 (https://www.snpedia.com/index.php/rs7172432) (AA) - Relevance:0.2
Type 2 diabetesSNP: rs2165241 (https://www.snpedia.com/index.php/rs2165241) (TC) - Relevance:0.2
4.4x increased risk of exfoliation glaucomaSNP: rs4939883 (https://www.snpedia.com/index.php/rs4939883) (CC) - Relevance:0.2
Associated with higher hdl cholesterolSNP: rs12044852 (https://www.snpedia.com/index.php/rs12044852) (CC) - Relevance:0.2
>1.24x riskSNP: rs1126497 (https://www.snpedia.com/index.php/rs1126497) (TT) - Relevance:0.2
1.4x increased risk for breast cancerSNP: rs182549 (https://www.snpedia.com/index.php/rs182549) (CC) - Relevance:0.2
Possibly lactose intolerantSNP: rs6445975 (https://www.snpedia.com/index.php/rs6445975) (GG) - Relevance:0.2
Disease risk associatedSNP: rs4864548 (https://www.snpedia.com/index.php/rs4864548) (GG) - Relevance:0.2
1.8x higher risk for obesity if in haplotypeSNP: rs5335 (https://www.snpedia.com/index.php/rs5335) (GG) - Relevance:0.2
>1.19x risk for hypertensionSNP: rs4730751 (https://www.snpedia.com/index.php/rs4730751) (AA) - Relevance:0.2
For kidney donors, 2x more likely to result in allograft rejectionSNP: rs2383208 (https://www.snpedia.com/index.php/rs2383208) (AA) - Relevance:0.2
Type 2 diabetesSNP: rs11246226 (https://www.snpedia.com/index.php/rs11246226) (CC) - Relevance:0.2
Decreased risk of schizophrenia in limited studySNP: rs10784502 (https://www.snpedia.com/index.php/rs10784502) (CC) - Relevance:0.2
Better intracranial volume. 2 teaspoons increased cranial capacity and higher IQSNP: rs4344 (https://www.snpedia.com/index.php/rs4344) (GG) - Relevance:0.2
Faster responderSNP: rs4654748 (https://www.snpedia.com/index.php/rs4654748) (CC) - Relevance:0.2
2.90 ng/ml lower vitamin b6 blood concentration|allele1=c|allele2=cSNP: rs2802292 (https://www.snpedia.com/index.php/rs2802292) (TT) - Relevance:0.2
Less likely to live to 100.SNP: rs7853989 (https://www.snpedia.com/index.php/rs7853989) (GG) - Relevance:0.2
Not blood group bSNP: rs4253208 (https://www.snpedia.com/index.php/rs4253208) (GG) - Relevance:0.2
Possible cockayne syndrome, type bSNP: rs11045585 (https://www.snpedia.com/index.php/rs11045585) (AA) - Relevance:0.2
24% chance (lower than average) of docetaxel-induced leukopenia/neutropeniaSNP: rs1047781 (https://www.snpedia.com/index.php/rs1047781) (AA) - Relevance:0.2
Abh blood group "secretor" status if japaneseSNP: rs7538876 (https://www.snpedia.com/index.php/rs7538876) (AA) - Relevance:0.2
1.28x increased basal cell carcinoma risk.SNP: rs10735781 (https://www.snpedia.com/index.php/rs10735781) (GC) - Relevance:0.2
1.11x riskSNP: rs3738919 (https://www.snpedia.com/index.php/rs3738919) (CC) - Relevance:0.2
1.94x risk of developing rheumatoid arthritisSNP: rs2952768 (https://www.snpedia.com/index.php/rs2952768) (TC) - Relevance:0.2
Slightly less drug dependence, decreased effectiveness of analgesicsSNP: rs3775948 (https://www.snpedia.com/index.php/rs3775948) (GG) - Relevance:0.2
Slightly higher risk for goutSNP: rs1800462 (https://www.snpedia.com/index.php/rs1800462) (CC) - Relevance:0.2
Incapable of detoxifyingSNP: rs793862 (https://www.snpedia.com/index.php/rs793862) (AG) - Relevance:0.2
Increased dyslexia riskSNP: rs17584499 (https://www.snpedia.com/index.php/rs17584499) (CC) - Relevance:0.2
Type 2 diabetesSNP: rs7127900 (https://www.snpedia.com/index.php/rs7127900) (GG) - Relevance:0.2
Prostate cancerSNP: rs11037909 (https://www.snpedia.com/index.php/rs11037909) (TT) - Relevance:0.2
1.47x type ii diabetes riskSNP: rs1495377 (https://www.snpedia.com/index.php/rs1495377) (GC) - Relevance:0.2
1.3x risk type-2 diabetesSNP: rs1545843 (https://www.snpedia.com/index.php/rs1545843) (AA) - Relevance:0.2
1.4x increased risk for depression (for those under 55)SNP: rs6495446 (https://www.snpedia.com/index.php/rs6495446) (CC) - Relevance:0.2
2.5x increased risk for chronic kidney diseaseSNP: rs3743930 (https://www.snpedia.com/index.php/rs3743930) (CC) - Relevance:0.2
Some reports of familial mediterranean feverSNP: rs1864163 (https://www.snpedia.com/index.php/rs1864163) (GG) - Relevance:0.2
Associated with higher hdl cholesterolSNP: rs4359 (https://www.snpedia.com/index.php/rs4359) (TT) - Relevance:0.2
Faster responderSNP: rs6700125 (https://www.snpedia.com/index.php/rs6700125) (TC) - Relevance:0.2
1.2x increased risk for alsSNP: rs1514175 (https://www.snpedia.com/index.php/rs1514175) (AG) - Relevance:0.2
Body mass indexSNP: rs4112788 (https://www.snpedia.com/index.php/rs4112788) (GG) - Relevance:0.2
PsoriasisSNP: rs7349332 (https://www.snpedia.com/index.php/rs7349332) (CC) - Relevance:0.2
Straighter hair; commonSNP: rs6458307 (https://www.snpedia.com/index.php/rs6458307) (CC) - Relevance:0.2
1.4x riskSNP: rs4870044 (https://www.snpedia.com/index.php/rs4870044) (TT) - Relevance:0.2
Bone mineral density (spine)SNP: rs748404 (https://www.snpedia.com/index.php/rs748404) (TT) - Relevance:0.2
Slightly increased risk (1.25) for lung cancerSNP: rs2241423 (https://www.snpedia.com/index.php/rs2241423) (GG) - Relevance:0.2
Body mass indexSNP: rs12444979 (https://www.snpedia.com/index.php/rs12444979) (CC) - Relevance:0.2
Body mass indexSNP: rs8055236 (https://www.snpedia.com/index.php/rs8055236) (GG) - Relevance:0.2
Common, but 2.2x higher risk for heart diseaseSNP: rs10423928 (https://www.snpedia.com/index.php/rs10423928) (TT) - Relevance:0.2
Two-hour glucose challengeSNP: rs5746059 (https://www.snpedia.com/index.php/rs5746059) (AA) - Relevance:0.1
Slightly higher fat massSNP: rs2205960 (https://www.snpedia.com/index.php/rs2205960) (GT) - Relevance:0.1
Systemic lupus erythematosusSNP: rs28997576 (https://www.snpedia.com/index.php/rs28997576) (CC) - Relevance:0.1
Probably increased risk of breast cancer
Kit: Medieval Villa Magna Italy (R63) (https://mytrueancestry.com/c/main.py#)
SNP: rs10513789 (https://www.snpedia.com/index.php/rs10513789) (TT) - Relevance:0.1
Very common. normal risk of parkinson's disease.SNP: rs27388 (https://www.snpedia.com/index.php/rs27388) (AA) - Relevance:0.1
Increased risk of developing schizophreniaSNP: rs2327832 (https://www.snpedia.com/index.php/rs2327832) (AA) - Relevance:0.1
Celiac diseaseSNP: rs2073963 (https://www.snpedia.com/index.php/rs2073963) (GG) - Relevance:0.1
Increased risk of baldnessSNP: rs326 (https://www.snpedia.com/index.php/rs326) (AA) - Relevance:0.1
Lower hdl cholesterolSNP: rs10958409 (https://www.snpedia.com/index.php/rs10958409) (GA) - Relevance:0.1
1.37x increased aneurysm riskSNP: rs12340895 (https://www.snpedia.com/index.php/rs12340895) (CG) - Relevance:0.1
Increased odds (2 fold?) of developing v617f-positive mpnSNP: rs10984447 (https://www.snpedia.com/index.php/rs10984447) (AA) - Relevance:0.1
>1.17x increased risk for multiple sclerosisSNP: rs1800169 (https://www.snpedia.com/index.php/rs1800169) (GG) - Relevance:0.1
Greater relative benefit of iloperidone to schizophrenicsSNP: rs7931342 (https://www.snpedia.com/index.php/rs7931342) (TG) - Relevance:0.1
Prostate cancerSNP: rs4585 (https://www.snpedia.com/index.php/rs4585) (TT) - Relevance:0.1
Slightly poorer (0.75x) response to metformin in type 2 diabeticsSNP: rs11842874 (https://www.snpedia.com/index.php/rs11842874) (AA) - Relevance:0.1
Common but +17% risk osteoarthritis }}risk 1.17 [1.111.23], p = 2.1 108 {{pmid|21871595SNP: rs7183877 (https://www.snpedia.com/index.php/rs7183877) (CC) - Relevance:0.1
Blue eye color if part of blue eye color haplotypeSNP: rs17367504 (https://www.snpedia.com/index.php/rs17367504) (GG) - Relevance:0.1
Reduction in blood pressureSNP: rs2077119 (https://www.snpedia.com/index.php/rs2077119) (TG) - Relevance:0.1
0.91x decreased risk for t2dSNP: rs4833103 (https://www.snpedia.com/index.php/rs4833103) (AC) - Relevance:0.1
0.75x decreased risk for non-hodgkin's lymphomaSNP: rs12500426 (https://www.snpedia.com/index.php/rs12500426) (AC) - Relevance:0.1
Prostate cancerSNP: rs12653946 (https://www.snpedia.com/index.php/rs12653946) (TT) - Relevance:0.1
Prostate cancerSNP: rs10096633 (https://www.snpedia.com/index.php/rs10096633) (CC) - Relevance:0.1
TriglyceridesSNP: rs7816345 (https://www.snpedia.com/index.php/rs7816345) (CC) - Relevance:0.1
bigger breast size (normal in european)SNP: rs7027989 (https://www.snpedia.com/index.php/rs7027989) (AA) - Relevance:0.1
1.26x increased myocardial infarction riskSNP: rs1412829 (https://www.snpedia.com/index.php/rs1412829) (AA) - Relevance:0.1
Glioma (high-grade)SNP: rs224136 (https://www.snpedia.com/index.php/rs224136) (CC) - Relevance:0.1
Crohn's diseaseSNP: rs7091565 (https://www.snpedia.com/index.php/rs7091565) (TT) - Relevance:0.1
1.26x risk of sarcoidosisSNP: rs4474514 (https://www.snpedia.com/index.php/rs4474514) (AA) - Relevance:0.1
>3x increased testicular cancer risk for menSNP: rs1522305 (https://www.snpedia.com/index.php/rs1522305) (GG) - Relevance:0.1
Slightly increased risk for schizophreniaSNP: rs4773144 (https://www.snpedia.com/index.php/rs4773144) (GG) - Relevance:0.1
Coronary heart diseaseSNP: rs4794067 (https://www.snpedia.com/index.php/rs4794067) (CC) - Relevance:0.1
2.1x risk for aspirin induced asthma. but possibly lower risk of lupus and intractable graves\' disease.SNP: rs6690993 (https://www.snpedia.com/index.php/rs6690993) (AA) - Relevance:0.1
0.7x decreased risk for alsSNP: rs3753841 (https://www.snpedia.com/index.php/rs3753841) (GG) - Relevance:0.1
Glaucoma (primary open-angle)SNP: rs2144300 (https://www.snpedia.com/index.php/rs2144300) (TT) - Relevance:0.1
HDL cholesterolSNP: rs17672135 (https://www.snpedia.com/index.php/rs17672135) (TT) - Relevance:0.1
1.3x riskSNP: rs10192566 (https://www.snpedia.com/index.php/rs10192566) (CG) - Relevance:0.1
If diabetic, better response to rosiglitazoneSNP: rs2310173 (https://www.snpedia.com/index.php/rs2310173) (TT) - Relevance:0.1
Ulcerative colitisSNP: rs6718526 (https://www.snpedia.com/index.php/rs6718526) (CC) - Relevance:0.1
1.9x risk of type-2 diabetesSNP: rs4276227 (https://www.snpedia.com/index.php/rs4276227) (CC) - Relevance:0.1
1.5x riskSNP: rs6797312 (https://www.snpedia.com/index.php/rs6797312) (AA) - Relevance:0.1
2x higher stroke risk in caucasian womenSNP: rs7679673 (https://www.snpedia.com/index.php/rs7679673) (CA) - Relevance:0.1
Prostate cancerSNP: rs7659604 (https://www.snpedia.com/index.php/rs7659604) (CT) - Relevance:0.1
1.4x riskSNP: rs7439293 (https://www.snpedia.com/index.php/rs7439293) (GA) - Relevance:0.1
Increased risk of coronary heart disease; better response to statinsSNP: rs10036748 (https://www.snpedia.com/index.php/rs10036748) (CC) - Relevance:0.1
Systemic lupus erythematosusSNP: rs2076295 (https://www.snpedia.com/index.php/rs2076295) (TT) - Relevance:0.1
Common/normal (higher levels of dsp expression)SNP: rs4712653 (https://www.snpedia.com/index.php/rs4712653) (TT) - Relevance:0.1
2x increased risk for neuroblastomaSNP: rs9295536 (https://www.snpedia.com/index.php/rs9295536) (CA) - Relevance:0.1
Possible increased risk for neuroblastomaSNP: rs7753394 (https://www.snpedia.com/index.php/rs7753394) (CC) - Relevance:0.1
1.5x risk of crohn's diseaseSNP: rs13208776 (https://www.snpedia.com/index.php/rs13208776) (GG) - Relevance:0.1
Higher risk for generalized vitiligoSNP: rs7787082 (https://www.snpedia.com/index.php/rs7787082) (GG) - Relevance:0.1
7x less likely to respond to certain antidepressantsSNP: rs10248420 (https://www.snpedia.com/index.php/rs10248420) (AA) - Relevance:0.1
7x less likely to respond to certain antidepressantsSNP: rs705381 (https://www.snpedia.com/index.php/rs705381) (TC) - Relevance:0.1
Less likely to gain weight if taking risperidoneSNP: rs4986782 (https://www.snpedia.com/index.php/rs4986782) (AA) - Relevance:0.1
Slow acetylator = higher risk of smoking-induced lung cancerSNP: rs13702 (https://www.snpedia.com/index.php/rs13702) (TT) - Relevance:0.1
HDL Cholesterol - Triglycerides (HDLC-TG)SNP: rs495828 (https://www.snpedia.com/index.php/rs495828) (GG) - Relevance:0.1
Venous thromboembolismSNP: rs6601764 (https://www.snpedia.com/index.php/rs6601764) (CC) - Relevance:0.1
1.52x increased risk of developing crohn's diseaseSNP: rs12184413 (https://www.snpedia.com/index.php/rs12184413) (TT) - Relevance:0.1
0.7x decreased risk for breast cancerSNP: rs10772420 (https://www.snpedia.com/index.php/rs10772420) (GG) - Relevance:0.1
Less intense perception of quinineSNP: rs3782179 (https://www.snpedia.com/index.php/rs3782179) (CC) - Relevance:0.1
9x lower odds of testicular cancerSNP: rs10774625 (https://www.snpedia.com/index.php/rs10774625) (AA) - Relevance:0.1
Retinal vascular caliberSNP: rs767603 (https://www.snpedia.com/index.php/rs767603) (CC) - Relevance:0.1
0.63x reduced risk for intracranial aneurysmSNP: rs11622475 (https://www.snpedia.com/index.php/rs11622475) (CC) - Relevance:0.1
1.5x risk of bipolar disorderSNP: rs4778241 (https://www.snpedia.com/index.php/rs4778241) (AC) - Relevance:0.1
Usually brown eye colorSNP: rs8042374 (https://www.snpedia.com/index.php/rs8042374) (GG) - Relevance:0.1
Lung cancerSNP: rs12597511 (https://www.snpedia.com/index.php/rs12597511) (CT) - Relevance:0.1
Slightly higher blood pressureSNP: rs16953002 (https://www.snpedia.com/index.php/rs16953002) (GG) - Relevance:0.1
Slightly lower risk of melanoma in individuals with low bmiSNP: rs4792311 (https://www.snpedia.com/index.php/rs4792311) (AA) - Relevance:0.1
Increased risk of prostate cancerSNP: rs11650354 (https://www.snpedia.com/index.php/rs11650354) (TT) - Relevance:0.1
8x risk for allergic asthmaSNP: rs1058396 (https://www.snpedia.com/index.php/rs1058396) (GG) - Relevance:0.1
Jk(a+/b-) kidd blood group, barring other variantsSNP: rs58920878 (https://www.snpedia.com/index.php/rs58920878) (GG) - Relevance:0.1
Slight (~2x) increase in colorectal cancer riskSNP: rs11881940 (https://www.snpedia.com/index.php/rs11881940) (TT) - Relevance:0.1
1.9x risk of miSNP: rs16990018 (https://www.snpedia.com/index.php/rs16990018) (AA) - Relevance:0.1
Prp codon 171 asn - non-pathogenic variantSNP: rs9574 (https://www.snpedia.com/index.php/rs9574) (CC) - Relevance:0.1
Epcr h1 diplotype; reduced risk of vte?SNP: rs12469063 (https://www.snpedia.com/index.php/rs12469063) (GG) - Relevance:0.1
Increased risk of developing restless legs syndromeSNP: rs7671167 (https://www.snpedia.com/index.php/rs7671167) (CC) - Relevance:0.1
Chronic obstructive pulmonary diseaseSNP: rs17021918 (https://www.snpedia.com/index.php/rs17021918) (CT) - Relevance:0.1
Prostate cancerSNP: rs2188962 (https://www.snpedia.com/index.php/rs2188962) (CT) - Relevance:0.1
Crohn's diseaseSNP: rs1334710 (https://www.snpedia.com/index.php/rs1334710) (GG) - Relevance:0.1
Increased riskSNP: rs7757037 (https://www.snpedia.com/index.php/rs7757037) (GA) - Relevance:0.1
0.68x decreased risk for bipolar disorderSNP: rs548234 (https://www.snpedia.com/index.php/rs548234) (TT) - Relevance:0.1
Systemic lupus erythematosusSNP: rs9364554 (https://www.snpedia.com/index.php/rs9364554) (CC) - Relevance:0.1
Prostate cancerSNP: rs1635852 (https://www.snpedia.com/index.php/rs1635852) (CC) - Relevance:0.1
HeightSNP: rs1334512 (https://www.snpedia.com/index.php/rs1334512) (GG) - Relevance:0.1
0.37x decreased risk for severe malariaSNP: rs11556924 (https://www.snpedia.com/index.php/rs11556924) (TT) - Relevance:0.1
Coronary heart diseaseSNP: rs9298506 (https://www.snpedia.com/index.php/rs9298506) (AA) - Relevance:0.1
Higher risk aneurysmSNP: rs1412444 (https://www.snpedia.com/index.php/rs1412444) (TT) - Relevance:0.1
Coronary heart diseaseSNP: rs3731566 (https://www.snpedia.com/index.php/rs3731566) (GG) - Relevance:0.1
Higher bp if rs4961(t) carrierSNP: rs9525638 (https://www.snpedia.com/index.php/rs9525638) (TT) - Relevance:0.1
Weaker bonesSNP: rs9302752 (https://www.snpedia.com/index.php/rs9302752) (CC) - Relevance:0.1
LeprosySNP: rs17445836 (https://www.snpedia.com/index.php/rs17445836) (GG) - Relevance:0.1
Multiple sclerosisSNP: rs885479 (https://www.snpedia.com/index.php/rs885479) (GG) - Relevance:0.1
Darker skin colorSNP: rs8069176 (https://www.snpedia.com/index.php/rs8069176) (GG) - Relevance:0.1
If 4 years old or younger, ~3x increased asthma risk if exposed to smokeSNP: rs3810291 (https://www.snpedia.com/index.php/rs3810291) (AA) - Relevance:0.1
Body mass indexSNP: rs17001266 (https://www.snpedia.com/index.php/rs17001266) (TT) - Relevance:0.1
1.58x increased risk for schizophrenia in malesSNP: rs1321172 (https://www.snpedia.com/index.php/rs1321172) (GG) - Relevance:0.1
>1.08x riskSNP: rs11162922 (https://www.snpedia.com/index.php/rs11162922) (AA) - Relevance:0.1
2x riskSNP: rs6680578 (https://www.snpedia.com/index.php/rs6680578) (TA) - Relevance:0.1
1.11x riskSNP: rs11164838 (https://www.snpedia.com/index.php/rs11164838) (CC) - Relevance:0.1
>1.11x riskSNP: rs6700998 (https://www.snpedia.com/index.php/rs6700998) (TT) - Relevance:0.1
1.2x increased risk of atopic dermatitis.SNP: rs4845618 (https://www.snpedia.com/index.php/rs4845618) (GT) - Relevance:0.1
1.7x increased melanoma riskSNP: rs4537545 (https://www.snpedia.com/index.php/rs4537545) (CC) - Relevance:0.1
C-reactive proteinSNP: rs28930069 (https://www.snpedia.com/index.php/rs28930069) (GG) - Relevance:0.1
Hypokalemic periodic paralysis riskSNP: rs2291834 (https://www.snpedia.com/index.php/rs2291834) (CC) - Relevance:0.1
Very slightly higher risk for myocardial infarctionSNP: rs9282671 (https://www.snpedia.com/index.php/rs9282671) (AA) - Relevance:0.1
Small chance of slightly increasing risk for a form of glaucomaSNP: rs2953145 (https://www.snpedia.com/index.php/rs2953145) (GC) - Relevance:0.1
1.8x riskSNP: rs12487066 (https://www.snpedia.com/index.php/rs12487066) (CC) - Relevance:0.1
>1.09x increased risk for multiple sclerosisSNP: rs9818870 (https://www.snpedia.com/index.php/rs9818870) (CC) - Relevance:0.1
Coronary heart diseaseSNP: rs6807362 (https://www.snpedia.com/index.php/rs6807362) (CC) - Relevance:0.1
Increased autism riskSNP: rs9851967 (https://www.snpedia.com/index.php/rs9851967) (TT) - Relevance:0.1
0.88x risk of vitiligo in chineseSNP: rs28936383 (https://www.snpedia.com/index.php/rs28936383) (GG) - Relevance:0.1
Limb-girdle muscular dystrophy-dystroglycanopathySNP: rs6896702 (https://www.snpedia.com/index.php/rs6896702) (TT) - Relevance:0.1
Increased risk of developing parkinson's diseaseSNP: rs17244841 (https://www.snpedia.com/index.php/rs17244841) (AA) - Relevance:0.1
More responsive to statin treatmentSNP: rs2544677 (https://www.snpedia.com/index.php/rs2544677) (GC) - Relevance:0.1
1.3x risk of type-1 diabetesSNP: rs17166496 (https://www.snpedia.com/index.php/rs17166496) (CC) - Relevance:0.1
1.1x risk for type-1 diabetesSNP: rs6897876 (https://www.snpedia.com/index.php/rs6897876) (CC) - Relevance:0.1
Slight increase in testicular cancer risk for menSNP: rs13153971 (https://www.snpedia.com/index.php/rs13153971) (CC) - Relevance:0.1
1.58x higher risk of asthma.SNP: rs9394492 (https://www.snpedia.com/index.php/rs9394492) (CC) - Relevance:0.1
<0.76x risk for restless legsSNP: rs9387522 (https://www.snpedia.com/index.php/rs9387522) (AA) - Relevance:0.1
Increased risk of cocaine induced paranoia.SNP: rs11983225 (https://www.snpedia.com/index.php/rs11983225) (TT) - Relevance:0.1
7x less likely to respond to certain antidepressantsSNP: rs445 (https://www.snpedia.com/index.php/rs445) (CC) - Relevance:0.1
White blood cell typesSNP: rs11767557 (https://www.snpedia.com/index.php/rs11767557) (TT) - Relevance:0.1
Alzheimer's disease (late onset)SNP: rs9333649 (https://www.snpedia.com/index.php/rs9333649) (CC) - Relevance:0.1
Associated with long qt syndromeSNP: rs6997709 (https://www.snpedia.com/index.php/rs6997709) (GG) - Relevance:0.1
1.5x higher risk for hypertensionSNP: rs1800546 (https://www.snpedia.com/index.php/rs1800546) (CC) - Relevance:0.1
0.35x reduced risk of hereditary fructose intolerance.SNP: rs4979462 (https://www.snpedia.com/index.php/rs4979462) (TT) - Relevance:0.1
Increased risk of developing primary biliary cirrhosisSNP: rs2283123 (https://www.snpedia.com/index.php/rs2283123) (CT) - Relevance:0.1
Decreased risk of schizophrenia in limited studySNP: rs61735045 (https://www.snpedia.com/index.php/rs61735045) (AA) - Relevance:0.1
Likely to be a benign variantSNP: rs12416000 (https://www.snpedia.com/index.php/rs12416000) (GG) - Relevance:0.1
Homo sapiens gene (not neanderthal)SNP: rs911541 (https://www.snpedia.com/index.php/rs911541) (GG) - Relevance:0.1
1.48x increased risk of alzheimer'sSNP: rs7078160 (https://www.snpedia.com/index.php/rs7078160) (GG) - Relevance:0.1
Orofacial cleftsSNP: rs3819331 (https://www.snpedia.com/index.php/rs3819331) (TT) - Relevance:0.1
Lower risk of autismSNP: rs61749393 (https://www.snpedia.com/index.php/rs61749393) (CC) - Relevance:0.1
Von willebrand disease, type 2bSNP: rs61749392 (https://www.snpedia.com/index.php/rs61749392) (CC) - Relevance:0.1
Von willebrand disease, type 2bSNP: rs1805762 (https://www.snpedia.com/index.php/rs1805762) (CC) - Relevance:0.1
>1.23x risk for hypertensionSNP: rs9739493 (https://www.snpedia.com/index.php/rs9739493) (TC) - Relevance:0.1
Higher risk for hypertensionSNP: rs10492519 (https://www.snpedia.com/index.php/rs10492519) (AG) - Relevance:0.1
Slightly increased risk of developing prostate cancerSNP: rs28940871 (https://www.snpedia.com/index.php/rs28940871) (GG) - Relevance:0.1
23andme = tay-sachs disease likely, but on other platforms this may be the normal formSNP: rs2398162 (https://www.snpedia.com/index.php/rs2398162) (AA) - Relevance:0.1
1.3x riskSNP: rs34516635 (https://www.snpedia.com/index.php/rs34516635) (GG) - Relevance:0.1
Less longevity for ashkenazi jewish women.SNP: rs1344484 (https://www.snpedia.com/index.php/rs1344484) (TT) - Relevance:0.1
1.5x riskSNP: rs16947078 (https://www.snpedia.com/index.php/rs16947078) (GG) - Relevance:0.1
8x risk for allergic asthmaSNP: rs736839 (https://www.snpedia.com/index.php/rs736839) (CC) - Relevance:0.1
Common, increased risk for sickle cell leg ulcersSNP: rs7250581 (https://www.snpedia.com/index.php/rs7250581) (GG) - Relevance:0.1
1.4x riskSNP: rs11803731 (https://www.snpedia.com/index.php/rs11803731) (AA) - Relevance:0.1
Straighter hairSNP: rs673548 (https://www.snpedia.com/index.php/rs673548) (GA) - Relevance:0.1
Metabolic syndromeSNP: rs6544713 (https://www.snpedia.com/index.php/rs6544713) (CC) - Relevance:0.1
LDL cholesterolSNP: rs10201872 (https://www.snpedia.com/index.php/rs10201872) (CC) - Relevance:0.1
Multiple sclerosisSNP: rs6050 (https://www.snpedia.com/index.php/rs6050) (TT) - Relevance:0.1
FibrinogenSNP: rs4975616 (https://www.snpedia.com/index.php/rs4975616) (AA) - Relevance:0.1
Lung cancerSNP: rs6905288 (https://www.snpedia.com/index.php/rs6905288) (GG) - Relevance:0.1
Waist-hip ratioSNP: rs881858 (https://www.snpedia.com/index.php/rs881858) (AA) - Relevance:0.1
Chronic kidney diseaseSNP: rs1456893 (https://www.snpedia.com/index.php/rs1456893) (AA) - Relevance:0.1
Crohn's diseaseSNP: rs11190140 (https://www.snpedia.com/index.php/rs11190140) (TC) - Relevance:0.1
Crohn's diseaseSNP: rs381815 (https://www.snpedia.com/index.php/rs381815) (CT) - Relevance:0.1
Systolic blood pressureSNP: rs179247 (https://www.snpedia.com/index.php/rs179247) (AA) - Relevance:0.1
Slight increase (1.4x) in risk for graves diseaseSNP: rs7193343 (https://www.snpedia.com/index.php/rs7193343) (CC) - Relevance:0.1
Atrial fibrillationSNP: rs7202877 (https://www.snpedia.com/index.php/rs7202877) (TT) - Relevance:0.1
Type 1 diabetesSNP: rs1424233 (https://www.snpedia.com/index.php/rs1424233) (TC) - Relevance:0.1
Obesity
Kit: Medieval Villa Magna Italy (R63) (https://mytrueancestry.com/c/main.py#)
This sample really has a great lot of relevance.
SNP: rs2290400 (https://www.snpedia.com/index.php/rs2290400) (TT) - Relevance:0.1
Type 1 diabetesSNP: rs11672691 (https://www.snpedia.com/index.php/rs11672691) (GG) - Relevance:0.1
1.39x increased risk for pcsm in patients with prostate cancerSNP: rs3748816 (https://www.snpedia.com/index.php/rs3748816) (AA) - Relevance:0.1
Celiac diseaseSNP: rs7528419 (https://www.snpedia.com/index.php/rs7528419) (AA) - Relevance:0.1
Lipoprotein-associated phospholipase A2 activity and massSNP: rs7561317 (https://www.snpedia.com/index.php/rs7561317) (AG) - Relevance:0.1
WeightSNP: rs2877716 (https://www.snpedia.com/index.php/rs2877716) (CC) - Relevance:0.1
Two-hour glucose challengeSNP: rs12504628 (https://www.snpedia.com/index.php/rs12504628) (TT) - Relevance:0.1
Pulmonary functionSNP: rs2853677 (https://www.snpedia.com/index.php/rs2853677) (GG) - Relevance:0.1
Lung adenocarcinomaSNP: rs4552569 (https://www.snpedia.com/index.php/rs4552569) (TT) - Relevance:0.1
Ankylosing spondylitisSNP: rs2206734 (https://www.snpedia.com/index.php/rs2206734) (CC) - Relevance:0.1
Body mass indexSNP: rs3093024 (https://www.snpedia.com/index.php/rs3093024) (GG) - Relevance:0.1
Rheumatoid arthritisSNP: rs301 (https://www.snpedia.com/index.php/rs301) (TT) - Relevance:0.1
Metabolic syndrome (bivariate traits)SNP: rs1016343 (https://www.snpedia.com/index.php/rs1016343) (CC) - Relevance:0.1
Prostate cancerSNP: rs17095355 (https://www.snpedia.com/index.php/rs17095355) (CC) - Relevance:0.1
Biliary atresiaSNP: rs6499640 (https://www.snpedia.com/index.php/rs6499640) (GA) - Relevance:0.1
WeightSNP: rs9891119 (https://www.snpedia.com/index.php/rs9891119) (AA) - Relevance:0.1
Multiple sclerosisSNP: rs6859 (https://www.snpedia.com/index.php/rs6859) (AA) - Relevance:0.1
Alzheimer's diseaseSNP: rs11581062 (https://www.snpedia.com/index.php/rs11581062) (GG) - Relevance:0.1
Multiple sclerosisSNP: rs3126085 (https://www.snpedia.com/index.php/rs3126085) (GG) - Relevance:0.1
Atopic dermatitisSNP: rs4085613 (https://www.snpedia.com/index.php/rs4085613) (GG) - Relevance:0.1
PsoriasisSNP: rs7579899 (https://www.snpedia.com/index.php/rs7579899) (GG) - Relevance:0.1
Renal cell carcinomaSNP: rs1420101 (https://www.snpedia.com/index.php/rs1420101) (CT) - Relevance:0.1
Eosinophil countsSNP: rs2272127 (https://www.snpedia.com/index.php/rs2272127) (CC) - Relevance:0.1
Associated with herpes and schizophreniaSNP: rs347685 (https://www.snpedia.com/index.php/rs347685) (AA) - Relevance:0.1
Chronic kidney diseaseSNP: rs734553 (https://www.snpedia.com/index.php/rs734553) (GG) - Relevance:0.1
Uric acid levelsSNP: rs874040 (https://www.snpedia.com/index.php/rs874040) (GG) - Relevance:0.1
Rheumatoid arthritisSNP: rs1501908 (https://www.snpedia.com/index.php/rs1501908) (GC) - Relevance:0.1
LDL cholesterolSNP: rs28936670 (https://www.snpedia.com/index.php/rs28936670) (GG) - Relevance:0.1
Reversed normalSNP: rs3093023 (https://www.snpedia.com/index.php/rs3093023) (GG) - Relevance:0.1
Rheumatoid arthritisSNP: rs4731702 (https://www.snpedia.com/index.php/rs4731702) (TT) - Relevance:0.1
HDL cholesterolSNP: rs17582416 (https://www.snpedia.com/index.php/rs17582416) (TG) - Relevance:0.1
Crohn's diseaseSNP: rs7395662 (https://www.snpedia.com/index.php/rs7395662) (GG) - Relevance:0.1
HDL cholesterolSNP: rs1059513 (https://www.snpedia.com/index.php/rs1059513) (TT) - Relevance:0.1
IgE levelsSNP: rs12368653 (https://www.snpedia.com/index.php/rs12368653) (GG) - Relevance:0.1
Multiple sclerosisSNP: rs4982731 (https://www.snpedia.com/index.php/rs4982731) (CC) - Relevance:0.1
Possible higher risk of childhood acute lymphoblastic leukemiaSNP: rs11636232 (https://www.snpedia.com/index.php/rs11636232) (CC) - Relevance:0.1
Darker eye colorSNP: rs7200786 (https://www.snpedia.com/index.php/rs7200786) (GG) - Relevance:0.1
Multiple sclerosisSNP: rs9938149 (https://www.snpedia.com/index.php/rs9938149) (CC) - Relevance:0.1
Central corneal thicknessSNP: rs7238078 (https://www.snpedia.com/index.php/rs7238078) (TT) - Relevance:0.1
Multiple sclerosisSNP: rs1077667 (https://www.snpedia.com/index.php/rs1077667) (CC) - Relevance:0.1
Multiple sclerosisSNP: rs8102137 (https://www.snpedia.com/index.php/rs8102137) (CC) - Relevance:0.1
Bladder cancerSNP: rs6088813 (https://www.snpedia.com/index.php/rs6088813) (CC) - Relevance:0.1
HeightSNP: rs1012068 (https://www.snpedia.com/index.php/rs1012068) (TT) - Relevance:0.1
Chronic Hepatitis C infectionSNP: rs864537 (https://www.snpedia.com/index.php/rs864537) (AA) - Relevance:0.1
Celiac disease and Rheumatoid arthritisSNP: rs1427407 (https://www.snpedia.com/index.php/rs1427407) (GG) - Relevance:0.1
F-cell distributionSNP: rs9834970 (https://www.snpedia.com/index.php/rs9834970) (TC) - Relevance:0.1
Bipolar disorderSNP: rs4635969 (https://www.snpedia.com/index.php/rs4635969) (GG) - Relevance:0.1
Testicular germ cell cancerSNP: rs3806932 (https://www.snpedia.com/index.php/rs3806932) (GG) - Relevance:0.1
Eosinophilic esophagitis (pediatric)SNP: rs11984041 (https://www.snpedia.com/index.php/rs11984041) (CC) - Relevance:0.1
StrokeSNP: rs7805747 (https://www.snpedia.com/index.php/rs7805747) (GG) - Relevance:0.1
Chronic kidney diseaseSNP: rs1015213 (https://www.snpedia.com/index.php/rs1015213) (CC) - Relevance:0.1
Glaucoma (primary open-angle)SNP: rs3793917 (https://www.snpedia.com/index.php/rs3793917) (CC) - Relevance:0.1
Age-related macular degenerationSNP: rs1021188 (https://www.snpedia.com/index.php/rs1021188) (TT) - Relevance:0.1
Bone mineral densitySNP: rs3894194 (https://www.snpedia.com/index.php/rs3894194) (AA) - Relevance:0.1
AsthmaSNP: rs4648356 (https://www.snpedia.com/index.php/rs4648356) (CC) - Relevance:0.1
Multiple sclerosisSNP: rs4660293 (https://www.snpedia.com/index.php/rs4660293) (AA) - Relevance:0.1
HDL cholesterolSNP: rs560426 (https://www.snpedia.com/index.php/rs560426) (TT) - Relevance:0.1
Orofacial cleftsSNP: rs1335532 (https://www.snpedia.com/index.php/rs1335532) (AA) - Relevance:0.1
Multiple sclerosisSNP: rs2274910 (https://www.snpedia.com/index.php/rs2274910) (CC) - Relevance:0.1
Crohn's diseaseSNP: rs1011731 (https://www.snpedia.com/index.php/rs1011731) (GG) - Relevance:0.1
Waist-hip ratioSNP: rs9286879 (https://www.snpedia.com/index.php/rs9286879) (AA) - Relevance:0.1
Crohn's diseaseSNP: rs2786098 (https://www.snpedia.com/index.php/rs2786098) (GG) - Relevance:0.1
AsthmaSNP: rs28937591 (https://www.snpedia.com/index.php/rs28937591) (GG) - Relevance:0.1
Deafness expectedSNP: rs6732426 (https://www.snpedia.com/index.php/rs6732426) (CC) - Relevance:0.1
Curlier hairSNP: rs12478601 (https://www.snpedia.com/index.php/rs12478601) (CC) - Relevance:0.1
Polycystic ovary syndromeSNP: rs7595037 (https://www.snpedia.com/index.php/rs7595037) (CT) - Relevance:0.1
Multiple sclerosisSNP: rs1007371 (https://www.snpedia.com/index.php/rs1007371) (TT) - Relevance:0.1
Rare genotype.SNP: rs6710518 (https://www.snpedia.com/index.php/rs6710518) (TT) - Relevance:0.1
Bone mineral densitySNP: rs7578326 (https://www.snpedia.com/index.php/rs7578326) (AG) - Relevance:0.1
Type 2 diabetesSNP: rs10934853 (https://www.snpedia.com/index.php/rs10934853) (CC) - Relevance:0.1
Prostate cancer
Kit: Medieval Villa Magna Italy (R63) (https://mytrueancestry.com/c/main.py#)
SNP: rs3796619 (https://www.snpedia.com/index.php/rs3796619) (AA) - Relevance:0.1
Recombination rate (males)SNP: rs2082412 (https://www.snpedia.com/index.php/rs2082412) (AA) - Relevance:0.1
PsoriasisSNP: rs2731672 (https://www.snpedia.com/index.php/rs2731672) (CC) - Relevance:0.1
Activated partial thromboplastin timeSNP: rs11755527 (https://www.snpedia.com/index.php/rs11755527) (CC) - Relevance:0.1
Type 1 diabetesSNP: rs1055144 (https://www.snpedia.com/index.php/rs1055144) (CC) - Relevance:0.1
Waist-hip ratioSNP: rs730497 (https://www.snpedia.com/index.php/rs730497) (GG) - Relevance:0.1
Glycated hemoglobin levelsSNP: rs2282978 (https://www.snpedia.com/index.php/rs2282978) (CC) - Relevance:0.1
HeightSNP: rs1454292 (https://www.snpedia.com/index.php/rs1454292) (CC) - Relevance:0.1
Curlier hairSNP: rs4410871 (https://www.snpedia.com/index.php/rs4410871) (CC) - Relevance:0.1
Multiple sclerosisSNP: rs1913517 (https://www.snpedia.com/index.php/rs1913517) (AA) - Relevance:0.1
Systemic lupus erythematosusSNP: rs11228565 (https://www.snpedia.com/index.php/rs11228565) (GG) - Relevance:0.1
Prostate cancerSNP: rs614367 (https://www.snpedia.com/index.php/rs614367) (CC) - Relevance:0.1
Breast cancerSNP: rs7396835 (https://www.snpedia.com/index.php/rs7396835) (CC) - Relevance:0.1
Quantitative traitsSNP: rs4238010 (https://www.snpedia.com/index.php/rs4238010) (GG) - Relevance:0.1
Highly correlated risk factor for major depressive disorder.SNP: rs2650000 (https://www.snpedia.com/index.php/rs2650000) (CC) - Relevance:0.1
Metabolic traitsSNP: rs626277 (https://www.snpedia.com/index.php/rs626277) (AA) - Relevance:0.1
Chronic kidney diseaseSNP: rs4788084 (https://www.snpedia.com/index.php/rs4788084) (CC) - Relevance:0.1
Type 1 diabetesSNP: rs28937908 (https://www.snpedia.com/index.php/rs28937908) (TT) - Relevance:0.1
No callSNP: rs280519 (https://www.snpedia.com/index.php/rs280519) (GG) - Relevance:0.1
PsoriasisSNP: rs11538758 (https://www.snpedia.com/index.php/rs11538758) (CC) - Relevance:0.1
Prp codon p105 - non-pathogenic formSNP: rs28933385 (https://www.snpedia.com/index.php/rs28933385) (GG) - Relevance:0.1
Prion protein codon 200 (e) - non pathogenic variantSNP: rs6102059 (https://www.snpedia.com/index.php/rs6102059) (CC) - Relevance:0.1
LDL cholesterolSNP: rs2828520 (https://www.snpedia.com/index.php/rs2828520) (GG) - Relevance:0.1
1.35x major depressive disorder risk
“If you ain't first you're last” (Ricky Bobby) :grin:
... from the North Roman Warrior to the Minoan ...
https://i.imgur.com/Y7YDb3a.jpg
https://i.imgur.com/wm5ib5P.jpg
https://i.imgur.com/kT6XxTq.jpg
https://i.imgur.com/L3gN10f.jpg
https://i.imgur.com/dtpvTp2.jpg
https://i.imgur.com/DH3IrcQ.jpg
https://mytrueancestry.com/img/TrophyGold.png You are the #1 top match to this sample! :)
You are #1 among 895 other users who also have a deep dive match with this sample. This makes your relationship to this individual very unique. Full research for this sample is activated for you regardless of your access level ...
https://i.imgur.com/Rx0phiY.gif
You always get the glory
I only have
Late Medieval Villa Magna Italy
1355 AD
R52
mtDNA: T1a1Y-DNA: G-PF3239
https://mytrueancestry.com/img/TrophyGold.png You are the #2 top match to this sample!
My paternal grandfather was mtdna T1a1e
and this below
Illyrian / Dalmatian
1600 BC
I4331
mtDNA: I1a1Y-DNA: J2b2a
https://mytrueancestry.com/img/TrophyAward.png You are a top 99% match to this sample! This makes your relationship to this individual exceptional.
and lastly
Central Roman
590 AD
SZ32
mtDNA: H74 ?
https://mytrueancestry.com/img/TrophyAward.png You are a top 99% match to this sample! This makes your relationship to this individual exceptional.
You always get the glory
I only have
Late Medieval Villa Magna Italy
1355 AD
R52
mtDNA: T1a1Y-DNA: G-PF3239
https://mytrueancestry.com/img/TrophyGold.png You are the #2 top match to this sample!
My paternal grandfather was mtdna T1a1e
and this below
Illyrian / Dalmatian
1600 BC
I4331
mtDNA: I1a1Y-DNA: J2b2a
https://mytrueancestry.com/img/TrophyAward.png You are a top 99% match to this sample! This makes your relationship to this individual exceptional.
and lastly
Central Roman
590 AD
SZ32
mtDNA: H74 ?
https://mytrueancestry.com/img/TrophyAward.png You are a top 99% match to this sample! This makes your relationship to this individual exceptional.
congrats:)
There’s obviously a hierarchy difference between SNPs chain and Distance,
they don't necessarily go together.
some more:
https://i.imgur.com/QhnTDPD.jpg
https://i.imgur.com/J1esezG.jpg
https://i.imgur.com/gYARBda.jpg
https://i.imgur.com/Hryppq6.jpg
https://i.imgur.com/Kftl5wq.jpg
https://i.imgur.com/8XG36QZ.jpg
https://i.imgur.com/OFFnFta.jpg
https://i.imgur.com/X4Q1uaL.jpg
congrats:)
There’s obviously a hierarchy difference between SNPs chain and Distance,
they don't necessarily go together.
some more:
https://i.imgur.com/QhnTDPD.jpg
https://i.imgur.com/J1esezG.jpg
https://i.imgur.com/gYARBda.jpg
https://i.imgur.com/Hryppq6.jpg
https://i.imgur.com/Kftl5wq.jpg
https://i.imgur.com/8XG36QZ.jpg
https://i.imgur.com/OFFnFta.jpg
https://i.imgur.com/X4Q1uaL.jpg
what I presented is all I have for me on MTA
It’s important to interpret some of the SNPs chains.
in my case:
it’s possible that the North Roman Warrior carries some of my Southern European DNA, and that I carry some in common Ancient DNA with a Minoan.
That doesn’t make me a Gaul or a Minoan,
I just have an old genetic relation, and that’s it :)
Edit ...
deep dive map
https://i.imgur.com/0cQ0t07.jpg
1. Hellenic Roman Monterotondo (165 AD) ..... 10.39 - R1548 -
Top
98
% match vs all users
2. Tuscan Medieval Cancelleria Basilica (1350 AD) ..... 10.88 - R1290 -
Top
98
% match vs all users
3. Imperial Rome Empire Via Paisiello (100 AD) ..... 11.19 - R114 -
Top
98
% match vs all users
4. Imperial Rome Centocelle (200 AD) ..... 11.31 - R49 -
Top
99
% match vs all users
5. Central Roman (590 AD) ..... 11.62 - SZ36 -
Top
97
% match vs all users
6. Tuscan Late Medieval Villa Magna Italy (1355 AD) ..... 11.81 - R56 -
Top
99
% match vs all users
7. Hellenic Roman (590 AD) ..... 11.97 - SZ40 - ?
Top
97
% match vs all users
8. Medieval Villa Magna Italy (1100 AD) ..... 11.97 - R58 -
Top
99
% match vs all users
9. Late Roman Empire Crypta Balbi (500 AD) ..... 12.03 - R107 -
Top
98
% match vs all users
10. Hellenic Roman Casale del Dolce (145 AD) ..... 12.04 - R123 -
Top
98
% match vs all users
11. Hellenic Roman Marcellino (400 AD) ..... 12.08 - R136-
Top
97
% match vs all users
12. Tuscan Medieval Villa Magna Italy (905 AD) ..... 12.3 - R60 -
Top
97
% match vs all users
13. Central Roman San Ercolano (100 AD) ..... 12.42 - R117 -
Top
98
% match vs all users
14. Central Roman (580 AD) ..... 12.48 - CL121 -
Top
97
% match vs all users
15. Hellenic Roman ANAS (200 AD) ..... 12.53 - R73 -
Top
97
% match vs all users
16. Central Roman / Mixed (590 AD) ..... 12.57 - SZ19 -
Top
98
% match vs all users
17. Torna Alta Andalusia (1550 AD) ..... 12.69 - I3808 -
Top
99
% match vs all users
18. Medieval Villa Magna Italy (1100 AD) ..... 12.87 - R65 -
Top
97
% match vs all users
19. Imperial Rome Centocelle (190 AD) ..... 13.01 - R50 -
Top
98
% match vs all users
20. Central Roman Mausoleo Augusto (500 AD) ..... 13.12- R30 -
Top
98
% match vs all users
https://1.bp.blogspot.com/-pR4h_hyQbek/XiRH47gjBmI/AAAAAAAACVM/_ry1OcmK9_s9R4sGdUKDHNeVh4KrnCPiACLcBGAsYHQ/s1600/BronzeAgeSpainCogotasI12208.JPEG
https://1.bp.blogspot.com/-m50vz-VPRCA/XiRH_QUCz4I/AAAAAAAACVQ/uQCsFIVJg_8rzaJfzxEV-qcO1NrhUUt5ACLcBGAsYHQ/s1600/IlergetesTribeCatalanI3336.jpeg
https://1.bp.blogspot.com/-9fAMWcsi1gA/XiRIGdKZdrI/AAAAAAAACVU/bWt2On-8o_ESFRKk6armG_91FZyy4LSvgCLcBGAsYHQ/s1600/IberianSettlementCataloniaSpainI3496.JPEG
https://1.bp.blogspot.com/-aO2UbjM7-Mw/XiRILJVndcI/AAAAAAAACVc/7Uhrre9lv70BnViS0O78hJ4qT6P9m-SzgCLcBGAsYHQ/s1600/HighStatusMaleHaunstettenPOST-44.JPEG
https://1.bp.blogspot.com/-1lnj4JUXvqM/XiRISV2X-uI/AAAAAAAACVk/U2Ljc96NjHwE1DGqjfzegSC5bbXJ64x-wCLcBGAsYHQ/s1600/NorthAlpineBronzeAgeAITI-120.JPEG
https://1.bp.blogspot.com/-pTq44f1WBQQ/XiRIW_628gI/AAAAAAAACVs/cC60SYEj2W8Fl9fUm_U4LYPapZOJ6wV5ACLcBGAsYHQ/s1600/NeolithicIrelandBallythany.jpg
https://1.bp.blogspot.com/-OB85ex8-AoY/XiRIaG9v6oI/AAAAAAAACVw/b9ElxBVx7BknaBidYLKI5UdpiW5aLwLcACLcBGAsYHQ/s1600/ScythianSourthernMoldobascy197b.jpeg
https://1.bp.blogspot.com/-uok5gpRT-H8/XiRIkvyVONI/AAAAAAAACV8/HU769zEBrFAUKgxxflOsTLfRagWYQ2TKACLcBGAsYHQ/s1600/ImperialMausoleoAugustoR33.jpg
https://1.bp.blogspot.com/-IbVts3g249A/XiRIpTmHhzI/AAAAAAAACWE/wYFEoZKmOwY5zFleoWUymrCTFBDTcxPPgCLcBGAsYHQ/s1600/LateRomanMixCryptaBalbiR105.JPEG
I have excepcional and unique relationship with two individuals. I do not had see this. Cool.
https://i.imgur.com/fYh7xj4.jpg
https://i.imgur.com/31w7r7j.jpg
https://i.imgur.com/OtuXbwS.jpg
Duarte I also have Illercavones. Who was going to tell me when the first time and the only one I was and the state in Lleida I was there on the stage of the Principal Theater of Lleida at the premiere of a movie where I had a small role, the truth is that via the people much prettier than layetanos. Cogotas already knew it and I knew it because I said long ago that a brother of my maternal grandfather carved some bulls in wood and they are nailed to Guisando's bulls. The iberian settlemen as the town where I live already gives me an attack, I have asked but they have not answered me yet.
I have excepcional and unique relationship with two individuals. I do not had see this. Cool.
I have with one! NOICE! :cool-v:
https://imgur.com/a/OPaSaERhttps://imgur.com/a/OPaSaERhttps://i.imgur.com/WKB24j6.png
I am #1 match to Trumpington Meadows Bronze Age in England!
I am #1 match to Trumpington Meadows Bronze Age in England!
The old kits that I created from Iberia de El Argar, La loma del puerco, Cogotas, ilergetes, e.t.c selected Trumpington or what it means that Trumpington would get them.
Nice, guys. :)
Only two show up and I don't completely understand either one, but I'll give it my best shot.
https://i.imgur.com/uE5dA6D.png
https://i.imgur.com/HZ4qeis.png
I quite understand that in terms of modern populations, both of these ancient samples plot somewhere near Toscana. The question is "why"?
We don't really know anything about the Crete Armenoi sample other than to say it's not from the Minoan period but rather later, and she's an outlier as far as Minoans are concerned.
As for Scythian Moldova, why a "Tuscan" like individual is a member of an Iron Age pastoral group with origins on the steppes I don't know. Perhaps it's a similar situation to that in Iron Age Thrace, where there were "Tuscan like", broadly speaking, individuals, and also in late Empire/Early Medieval Antiquity, along with some more northwestern leaning Tuscans.
Is it that there were still populations much like those on the northern part of the Italian peninsula spread all over Central Europe, the Balkans, and even into Moldova?
From the paper...
" Between 700 and 300 BCE, the Scythians, representing mobile pastoral nomads of a new militaristic type (1 (https://advances.sciencemag.org/content/4/10/eaat4457#ref-1)), dominated the Pontic-Kazakh steppe, occupying an area from the Altai to the Carpathian Mountains. Their decline began around 300 BCE and was caused by intensifying hostile relations with the Macedonians in the West and the invasion of the Sarmatians from the East. The Sarmatians and the Scythians are thought to have coexisted for a few centuries, but eventually, the former group prevailed (2 (https://advances.sciencemag.org/content/4/10/eaat4457#ref-2)), resulting in the Scythian downfall. The Sarmatians are believed to comprise a number of groups of similar nomadic background (8 (https://advances.sciencemag.org/content/4/10/eaat4457#ref-8)), and they became the politically most influential force within the eastern fringes of the Roman Empire at the time. Their decline (~400 CE) was associated with the attack of the Goths and the subsequent invasion of the Huns (8 (https://advances.sciencemag.org/content/4/10/eaat4457#ref-8))."
"The Scythians reported in this study, from the core Scythian territory in the North Pontic steppe (12 (https://advances.sciencemag.org/content/4/10/eaat4457#ref-12)), showed high intragroup diversity. In the PCA, they are positioned as four visually distinct groups compared to the gradient of present-day populations (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457#F1)): (i) A group of three individuals (scy009, scy010, and scy303) showed genetic affinity to north European populations, hereafter referred to as a north European (NE) cluster. (ii) A group of four individuals (scy192, scy197, scy300, and scy305) showed genetic similarities to southern European populations, hereafter referred to as a south European (SE) cluster. (iii) A group of three individuals (scy006, scy011, and scy193) located between the genetic variation of Mordovians and populations of the North Caucasus, hereafter referred to as a steppe cluster (SC). In addition, one Srubnaya-Alakulskaya individual (kzb004), the most recent Cimmerian (cim357), and all Sarmatians fell within this cluster."
"Scythians belonging to the SE cluster were closer to Hungarian Bronze Age and Iron Age individuals including Vatya and Maros. " This doesn't at all surprise me. Other studies have shown the tie between Italians (and I) and the Hungarian Bronze Age and Maros as well.
"Some of the Scythians of the western Pontic-Caspian steppe lacked the SA and the East Eurasian components altogether and instead were more similar to a Montenegro Iron Age individual (3 (https://advances.sciencemag.org/content/4/10/eaat4457#ref-3)), possibly indicating assimilation of the earlier local groups by the Scythians. "
https://advances.sciencemag.org/content/4/10/eaat4457
Wouldn�t it be cool if the Moderators made a map; based on MyTrueAncestry samples?
It would be awesome to compare how accurate Tacitus and Livy was. : D
Here is my Admixture.
28% Celt
72% Germanic
22.5% Danish Viking
14.5% Frankish
8.5% Suebi
8.5% Saxon
12.5% Viking (6.5% Norseman, 6% Swedes)
5.5% East Germanic (2% Visigoth, 2% Vandal, 1.5% Ostrogoth)
Now that I am looking for my father in a simile like a stolen child and I will not stop until I get it. I know that everything is autosomal but it must also be there somewhere. So I had already noticed this sample and I will create the kit.
https://1.bp.blogspot.com/-OB85ex8-AoY/XiRIaG9v6oI/AAAAAAAACVw/b9ElxBVx7BknaBidYLKI5UdpiW5aLwLcACLcBGAsYHQ/s1600/ScythianSourthernMoldobascy197b.jpeg
I have seen something and it has several Deep Dive from Egypt and Cluana Ancona and more... I have to go to the blog all the files and then publish them here, web of work.
italouruguayan
20-01-20, 01:15
Mine....
Hispano-Roman Taifa of Valencia
1200 AD
I12647
mtDNA: H1ak1
You are a top 96% match to this sample! This makes your relationship to this individual exceptional.
Shared DNA: (Sample Quality: 33)
3 SNP chains (min. 60 SNPs) / 17.72 cM
Largest segment=158 SNPs / 7.59 cM
Your raw DNA is 96% closer than other matching users
Iberian Cordoba Caliphate
1050 AD
I7498
mtDNA: H3a1Y-DNA: E1b1b1a1b1a
You are a top 98% match to this sample! This makes your relationship to this individual exceptional.
Shared DNA: (Sample Quality: 34)
3 SNP chains (min. 60 SNPs) / 12.24 cM
Largest segment=287 SNPs / 6.06 cM
Your raw DNA is 98% closer than other matching users
Ostrogoth Mix
495 AD
AEH_1
mtDNA: H5 ?
You are a top 97% match to this sample! This makes your relationship to this individual exceptional.
Shared DNA: (Sample Quality: 8)
2 SNP chains (min. 60 SNPs) / 4.9 cM
Largest segment=376 SNPs / 2.81 cM
Your raw DNA is 97% closer than other matching users
https://1.bp.blogspot.com/-uok5gpRT-H8/XiRIkvyVONI/AAAAAAAACV8/HU769zEBrFAUKgxxflOsTLfRagWYQ2TKACLcBGAsYHQ/s1600/ImperialMausoleoAugustoR33.jpg
1. Spanish_Cataluna (7.155)
2. Spanish_Murcia (7.269)
3. Spanish_Castilla_Y_Leon (7.528)
4. Spanish_Valencia (7.691)
5. Portuguese (8.220)
6. Spanish_Extremadura (8.433)
7. Spanish_Andalucia (8.449)
8. Spanish_Castilla_La_Mancha (8.936)
https://1.bp.blogspot.com/-iQ7sTyWpCtc/XiT9MunKXgI/AAAAAAAACWY/6YQe0wsW-XY372-o8dEX1fuNYkM2Klw_ACLcBGAsYHQ/s1600/imperialmausoleo.jpeg
https://1.bp.blogspot.com/-IbVts3g249A/XiRIpTmHhzI/AAAAAAAACWE/wYFEoZKmOwY5zFleoWUymrCTFBDTcxPPgCLcBGAsYHQ/s1600/LateRomanMixCryptaBalbiR105.JPEG
1. Spanish_Aragon (5.017)
2. Spanish_Valencia (6.046)
3. Spanish_Castilla_La_Mancha (6.695)
4. Spanish_Andalucia (7.904)
5. Southwest_French (8.076)
6. Spanish_Cantabria (8.328)
7. Spanish_Murcia (8.987)
8. Spanish_Castilla_Y_Leon (9.225)
https://1.bp.blogspot.com/-pGqbaL6-bLg/XiT9qeizgVI/AAAAAAAACWk/LyEqvntDHk0q2IdJNeYdZB41VzcF6zlsQCLcBGAsYHQ/s1600/Image%2B1.png
These two men are classified in MTA as Roman culture.
These samples of who could be treated?
... updates ...
https://i.imgur.com/JCpWPj2.jpg
https://i.imgur.com/lGTBr86.jpg
Edit: ‘cause of dynamic hierarchy
https://i.imgur.com/v0PfQUW.jpg
https://i.imgur.com/tdajOOn.jpg
Good morning to all buddies with the wishes of a nice and productive week.
@Carlos @HYGILI4K. Very cool, guys.
Duarte I also have Illercavones. Who was going to tell me when the first time and the only one I was and the state in Lleida I was there on the stage of the Principal Theater of Lleida at the premiere of a movie where I had a small role, the truth is that via the people much prettier than layetanos. Cogotas already knew it and I knew it because I said long ago that a brother of my maternal grandfather carved some bulls in wood and they are nailed to Guisando's bulls. The iberian settlemen as the town where I live already gives me an attack, I have asked but they have not answered me yet.
I have with one! NOICE! :cool-v:
https://imgur.com/a/OPaSaERhttps://imgur.com/a/OPaSaERhttps://i.imgur.com/WKB24j6.png
My two special relashionships: A Celt and an Iberian. Am I a Cetiberian? Coincidence or not, only Carlos' oracle can answer. LOL. Morning, Carlos :)
https://i.imgur.com/9nGFEah.png
https://i.imgur.com/H8SDkYV.png
^^
Yes, we are Celtiberians; although people don't want to recognize it lol
Look at the Celtiberian helmets they found in Aragon, my paternal grandmother was Cortés who is an Aragonese surname that emigrates to Extremadura and Andalusia.
https://est.zetaestaticos.com/aragon/img/noticias/1/400/1400588_1.jpg
(https://mytrueancestry.com/c/main.py#)
https://1.bp.blogspot.com/-mDzM3v7bG7Q/XiXMlZHkXpI/AAAAAAAACW0/Z5ZZviCTBbw-362evwZkOT89MvrdGe8QQCLcBGAsYHQ/s1600/logotipo.jpg
My match with Scy
https://1.bp.blogspot.com/-RcdpnmGK45Q/XiXNLwfOXiI/AAAAAAAACXg/7dNQ9LUJEyYllvXfQn6TeKppaevEmwxUQCLcBGAsYHQ/s1600/TodosMisEscitas.jpeg
Match of the scy197b kit with Egypt
https://1.bp.blogspot.com/-N52wdelQbog/XiXPAaVKJmI/AAAAAAAACYs/eSEPRCYO61oJtRleNUvF5QA8W6YDDGIAACLcBGAsYHQ/s1600/EgiptoPtolemaic.jpeg
https://1.bp.blogspot.com/-PYj3tWtnhIk/XiXSTa0ekRI/AAAAAAAACcY/IE5G_KgA2P8b7sN7QOZXvKrHypiumZN1wCLcBGAsYHQ/s1600/Egiptoultimoperiro.jpeg
My comparation with scy197b.
https://1.bp.blogspot.com/-VpDYyMyWvpk/XiXRORxQHyI/AAAAAAAACbo/KD-M195YZlgAOaHPoFbC65wmAAGotPAVgCLcBGAsYHQ/s1600/Comparacionmikitconscy197b.jpeg
Mi comparation imputes with scy197b
https://1.bp.blogspot.com/-TnozdyH2k18/XiXRTbbbeKI/AAAAAAAACbw/iQUo04Xd9DkuPLidPrrcwusNgzBykzJxgCLcBGAsYHQ/s1600/comparacionMyImputedwhithscy197b.jpeg
Perhaps in me and Egypt, philistina or ancient Greece is almost erased footprint, but in this sample of exceptional match with me it was still preserved.
https://1.bp.blogspot.com/-sK2LijcSpB4/XiXOE_EAspI/AAAAAAAACYE/WWEOXhu1OxIZXZLFdInVoEiVqEp8bO8HQCLcBGAsYHQ/s640/mapeEuropetimelapse.jpeg
Comparing the map above and the result of my Juan graph, I see some consistency with the results of scy197b.
https://1.bp.blogspot.com/-RbJv3DGuZk4/Xhr1jmqDncI/AAAAAAAACKs/PrcCPKoD2R0ZonafFVlP_PSB0eZQRgB3ACLcBGAsYHQ/s640/MDSplot.jpeg
https://1.bp.blogspot.com/-DxvECvL4lo0/XiYXV-i-TSI/AAAAAAAACck/sFiDX25ql5UbhwdU8QYOyTQZHZ1ivk97wCLcBGAsYHQ/s1600/CycladesSerbia.jpeg
Deep Dive scy197b
https://1.bp.blogspot.com/-mqHqgMu96YE/XiYdbqV3WfI/AAAAAAAACcw/c-Dmjm3AsfEJLLGGlsWHXOQvjInFXG-RQCLcBGAsYHQ/s1600/DeepDiveEuropa.jpeg
My Deep Dive
https://1.bp.blogspot.com/-eawf63zPTY0/XiYeVrspkQI/AAAAAAAACc8/j5x5wli1iYIIRIS8s9rqXSMpHWmQbedTwCLcBGAsYHQ/s1600/deepdiveEnero2020.jpeg
^^
Yes, we are Celtiberians; although people don't want to recognize it lol
Look at the Celtiberian helmets they found in Aragon, my paternal grandmother was Cortés who is an Aragonese surname that emigrates to Extremadura and Andalusia.
https://est.zetaestaticos.com/aragon/img/noticias/1/400/1400588_1.jpg
(https://mytrueancestry.com/c/main.py#)
That's it Carlos. Beautiful and very well designed helmets. A people who knew how to defend themselves when necessary. The aracle of truth never lies. If he said we are cetiiberian, then it is because we are.
I still only get
Your Top 10 Archaeogenetic matches by Era...(Smaller numbers mean closer matches to you, up to 10 samples per era) Neolithic Age
https://mytrueancestry.com/img/NeolithicPattern.jpg
32. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 14.31 - I3499 -
Top 98% match vs all users
Early Bronze Age
https://mytrueancestry.com/img/ScandiaBronze.jpg
33. Illyrian / Dalmatian (1600 BC) ..... 14.39 - I4332 -
Top 95% match vs all users
38. Illyrian / Dalmatian (1600 BC) ..... 15.0 - I4331 -
Top 93% match vs all users
93. - upgrade to Zeus ..... 19.25 - OTTM_151ind2 -
Top 94% match vs all users
[h=3]Late Bronze Age
https://mytrueancestry.com/img/GerBronze.jpg
1. Protovillanovia Martinsicuro (930 BC) ..... 5.076 - R1 -
Top 99% match vs all users
4. Illyrian / Dalmatian (1200 BC) ..... 8.937 - I3313 -
Top 98% match vs all users
52. Thraco-Cimmerian Black Sea (900 BC) ..... 15.89 - MJ12 -
Top 97% match vs all users
can someone tell me about this sample
- OTTM_151ind2 -
what my father gets .................it is his only ancient match
Scythian Moldova
scy301 (300 BC)
mtDNA Haplogroup: U5b2a3
Y-DNA Haplogroup: R1b1a1a2
Deep Dive Match! 55% closer than others who share this deep dive sample
Genetic Distance: 19.344
Sample Match! 52% closer than others users
Carlos Oracle (Deep Studies)
https://1.bp.blogspot.com/-ImrJYP7mTPE/XiXMw2XirFI/AAAAAAAACW8/SFwXalLNZgELMTInyRVmIo5f3gpAU4xvgCLcBGAsYHQ/s1600/ancientsampleBreakdown.jpeg
Scy197b
https://1.bp.blogspot.com/-v2jmR_AsuK4/XiXM4A7kKeI/AAAAAAAACXI/AgIeeICDeOUiaZGQteqRIhv1-VyaOseNACLcBGAsYHQ/s1600/mtDNAsmmaryforJ.JPEG
Scy187b
https://1.bp.blogspot.com/-gnviYDYIPkU/XiXM1Dp91TI/AAAAAAAACXA/XKLPlcXieA0RXqLeVhP_PnvTpxq6wxc5ACLcBGAsYHQ/s1600/YdnaSummaryforE.JPEG
Me
https://1.bp.blogspot.com/-OuktTuLU4pw/XidLgay4x-I/AAAAAAAACdk/p2Xbsm3MgJIodS1xh_2WmPDdPgHMfhevgCLcBGAsYHQ/s1600/Tirol.jpeg
https://1.bp.blogspot.com/-EbFJs3SJ0M0/XidLbhbW12I/AAAAAAAACdg/2ASqL0YfvuMyqSIZsOC_wKzmCkP-O40DgCLcBGAsYHQ/s1600/Multivariatestatisticssection.jpeg
I think I'm going to create the Medieval Tyrolian SZ18 kit. (I know and I have in mind that there were Ladinos in Bolzano but the problem is that my ear only tolerates going east in derived Latin : Spanish, Italian and French and that fact is very significant for myself in my study of my father's search.)
I will wait imagine that they are overflowed
https://1.bp.blogspot.com/-kDVNCF4uBrI/XidWCNvDg9I/AAAAAAAACdw/oTqE1Q5SaGAmy0RVpqOK-JyB8vE0itczgCLcBGAsYHQ/s1600/kitimposiblecrearkit.jpeg
Carlos Oracle (Deep Studies)
https://1.bp.blogspot.com/-ImrJYP7mTPE/XiXMw2XirFI/AAAAAAAACW8/SFwXalLNZgELMTInyRVmIo5f3gpAU4xvgCLcBGAsYHQ/s1600/ancientsampleBreakdown.jpeg
Scy197b
https://1.bp.blogspot.com/-v2jmR_AsuK4/XiXM4A7kKeI/AAAAAAAACXI/AgIeeICDeOUiaZGQteqRIhv1-VyaOseNACLcBGAsYHQ/s1600/mtDNAsmmaryforJ.JPEG
Scy187b
https://1.bp.blogspot.com/-gnviYDYIPkU/XiXM1Dp91TI/AAAAAAAACXA/XKLPlcXieA0RXqLeVhP_PnvTpxq6wxc5ACLcBGAsYHQ/s1600/YdnaSummaryforE.JPEG
Me
https://1.bp.blogspot.com/-OuktTuLU4pw/XidLgay4x-I/AAAAAAAACdk/p2Xbsm3MgJIodS1xh_2WmPDdPgHMfhevgCLcBGAsYHQ/s1600/Tirol.jpeg
https://1.bp.blogspot.com/-EbFJs3SJ0M0/XidLbhbW12I/AAAAAAAACdg/2ASqL0YfvuMyqSIZsOC_wKzmCkP-O40DgCLcBGAsYHQ/s1600/Multivariatestatisticssection.jpeg
I think I'm going to create the Medieval Tyrolian SZ18 kit. (I know and I have in mind that there were Ladinos in Bolzano but the problem is that my ear only tolerates going east in derived Latin : Spanish, Italian and French and that fact is very significant for myself in my study of my father's search.)
I will wait imagine that they are overflowed
https://1.bp.blogspot.com/-kDVNCF4uBrI/XidWCNvDg9I/AAAAAAAACdw/oTqE1Q5SaGAmy0RVpqOK-JyB8vE0itczgCLcBGAsYHQ/s1600/kitimposiblecrearkit.jpeg
SZ18 is
SZ18:
mtDNA: H13a1a2
Y-DNA: E1b1b1a1b2(CTS2817)
Do they really mark this sample as Ladini from the alps ?
and I would like to see what scy197b is
as I only found
scy197:
mtDNA: U5a1a1
Y-DNA: R1b1a1a2
others found with scy197 are
scy300:
mtDNA: H5b
scy301:
mtDNA: U5b2a3
Y-DNA: R1b1a1a2
scy303:
mtDNA: U5a1a2b
scy305:
mtDNA: U5a2b
Y-DNA: R1b1a1a2
scy311:
mtDNA: T2b
The new ............Deep Dive Breakdown for me is
Genetic Closeness = Gallo-Roman
Total SNP = Gallo-Roman
Longest SNP = Illyrian
.............................................
I have no links with the new Trojans or Minoans added or any other Anatolians ( inc. Byzantines )
Oldest samples that match myself
32. Proto Thracian/Illyrian Vucedol (2775 BC) ..... 14.31 - I3499 -
Top 98% match vs all users
I3499
mtDNA: T2e
Y-DNA: R1b1a1a2a2
33. Illyrian / Dalmatian (1600 BC) ..... 14.39 - I4332 -
Top 95% match vs all user
I4332
mtDNA: W3a1
38. Illyrian / Dalmatian (1600 BC) ..... 15.0 - I4331 -
Top 93% match vs all users
I4331
mtDNA: I1a1
Y-DNA: J2b2a
93. [Hidden] - upgrade to Zeus ..... 19.25 - OTTM_151ind2 -
Top 94% match vs
OTTM_151ind2
mtDNA: X2b+226
1. Protovillanovia Martinsicuro (930 BC) ..... 5.076 - R1 -
Top 99% match vs all users
R1
mtDNA: U5a2b
4. Illyrian / Dalmatian (1200 BC) ..... 8.937 - I3313 -
Top 98% match vs all users
I3313
mtDNA: HV0e
52. Thraco-Cimmerian Black Sea (900 BC) ..... 15.89 - MJ12 -
Top 97% match vs all use
MJ-12:
mtDNA: H35
.................................................. ....
my father data has same as above plus
https://www.biorxiv.org/content/10.1101/135962v1
https://www.biorxiv.org/content/10.1101/135962v1.full.pdf
E09538=UNTA58_68Sk1
mtDNA: J1c
Y-DNA: G2a2a1a2a1a
UNTA58_147, UNTA58_153, UNTA85_1412, Straubing(Early Bronze Age), 2031–1776 calBC
https://science.sciencemag.org/content/early/2019/10/09/science.aax6219
DOI: 10.1126/science.aax6219
https://reich.hms.harvard.edu/sites/reich.hms.harvard.edu/files/inline-files/Mittnik_Science_2019.pdf
SZ18 is
SZ18:
mtDNA: H13a1a2
Y-DNA: E1b1b1a1b2(CTS2817)
Do they really mark this sample as Ladini from the alps ?
and I would like to see what scy197b is
as I only found
scy197:
mtDNA: U5a1a1
Y-DNA: R1b1a1a2
others found with scy197 are
scy300:
mtDNA: H5b
scy301:
mtDNA: U5b2a3
Y-DNA: R1b1a1a2
scy303:
mtDNA: U5a1a2b
scy305:
mtDNA: U5a2b
Y-DNA: R1b1a1a2
scy311:
mtDNA: T2b
He still doesn't let me create the SZ18 kit. The scy197b is a Scythian from Moldova
Download Powerpoint (https://advances.sciencemag.org/highwire/powerpoint/207658)
Fig. 1 Radiocarbon ages and geographical locations of the ancient samples used in this study.Figure panels presented counterclockwise: (A) Bar plot visualizing approximate timeline of presented and previously published individuals. (B) Map showing the locations of ancient individuals sequenced in this study and the locations of previously published ancient individuals used in comparative analyses. (C) Principal component analysis (PCA) plot visualizing 35 Bronze Age and Iron Age individuals presented in this study and in published ancient individuals (table S5) in relation to modern reference panel from the Human Origins data set (41 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-41)).
RESULTSWe produced genome-wide sequence data with genome coverage between 0.01× and 2.9× per individual for 35 Bronze Age and Iron Age individuals from the Pontic-Caspian steppe from four chronologically sequential cultural groups, which comprise Srubnaya-Alakulskaya individuals (n = 13), Cimmerians (n = 3), Scythians (n = 14), and Sarmatians (n = 5), with radiocarbon dates between ca. 1900 BCE and 400 CE (Fig. 1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1), A and B; tables S1 to S3; and fig. S1, A and B). All DNA libraries displayed damage patterns typical of ancient DNA (fig. S2) (14 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-14)). To ensure data integrity, we calculated mitochondrial DNA (mtDNA)–based contamination levels using distribution of private polymorphisms in mtDNA (15 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-15)) and a Bayesian likelihood method (16 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-16)). The former yielded point estimates of contamination between 0 and 10% [95% confidence intervals (CIs) between 0 and 17%], and the latter method revealed that all individuals carried sequences with >89% probability of being authentic (table S4). Thus, we included all sequenced individuals in the downstream analyses.
Late Bronze Age (LBA) Srubnaya-Alakulskaya individuals carried mtDNA haplogroups associated with Europeans or West Eurasians (17 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-17)) including H, J1, K1, T2, U2, U4, and U5 (table S3). In contrast, the Iron Age nomads (Cimmerians, Scythians, and Sarmatians) additionally carried mtDNA haplogroups associated with Central Asia and the Far East (A, C, D, and M) (table S3) (11 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-11), 18 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-18)). The absence of East Asian mitochondrial lineages in the more eastern and older Srubnaya-Alakulskaya population suggests that the appearance of East Asian haplogroups in the steppe populations might be associated with the Iron Age nomads, starting with the Cimmerians. The Y chromosome haplogroup variation in 17 of 18 males was limited to two major haplogroup lineages within the macrohaplogroup “R” (table S3). The Srubnaya-Alakulskaya individuals carried the Y haplogroup R1a, which showed a major expansion during the Bronze Age (19 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-19)). It has previously been found in Bronze Age individuals from the Krasnoyarsk Kurgan in Siberia (20 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-20)). The Iron Age nomads mostly carried the R1b Y haplogroup, which is characteristic of the Yamnaya of the Russian steppe (4 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-4)). An exception was a Cimmerian individual (cim358) who carried the Q1* lineage associated with the east (table S3).
Genetic relationships between Eurasian steppe nomads and present-day populationsPCA on the autosomal genomic data (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1) and table S5) revealed the following: (i) Srubnaya-Alakulskaya individuals exhibited genetic affinity to northern and northeastern present-day Europeans (fig. S3), and these results were also consistent with outgroup f3 statistics (table S6 and fig. S4A). (ii) The Cimmerian individuals, representing the time period of transition from Bronze to Iron Age, were not homogeneous regarding their genetic similarities to present-day populations according to the PCA. F3 statistics confirmed the heterogeneity of these individuals in comparison with present-day populations (table S6 and figs. S3 and S4C). (iii) The Scythians reported in this study, from the core Scythian territory in the North Pontic steppe (12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)), showed high intragroup diversity. In the PCA, they are positioned as four visually distinct groups compared to the gradient of present-day populations (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1)): (i) A group of three individuals (scy009, scy010, and scy303) showed genetic affinity to north European populations, hereafter referred to as a north European (NE) cluster. (ii) A group of four individuals (scy192, scy197, scy300, and scy305) showed genetic similarities to southern European populations, hereafter referred to as a south European (SE) cluster. (iii) A group of three individuals (scy006, scy011, and scy193) located between the genetic variation of Mordovians and populations of the North Caucasus, hereafter referred to as a steppe cluster (SC). In addition, one Srubnaya-Alakulskaya individual (kzb004), the most recent Cimmerian (cim357), and all Sarmatians fell within this cluster. In contrast to the Scythians, and despite being from opposite ends of the Pontic-Caspian steppe, the five Sarmatians grouped close together in this cluster. (iv) A group of three Scythians (scy301, scy304, and scy311) formed a discrete group
(?to=&body=Ancient%20genomes%20suggest%20the%20eastern%2 0Pontic-Caspian%20steppe%20as%20the%20source%20of%20wester n%20Iron%20Age%20nomads%20-%20https://advances.sciencemag.org/content/4/10/eaat4457&subject=Ancient%20genomes%20suggest%20the%20easter n%20Pontic-Caspian%20steppe%20as%20the%20source%20of%20wester n%20Iron%20Age%20nomads)
RESEARCH ARTICLEANTHROPOLOGY
Ancient genomes suggest the eastern Pontic-Caspian steppe as the source of western Iron Age nomads
[*=left]Maja Krzewińska1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-1),* (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#f n-1),† (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#c orresp-1),
[*=left]Gülşah Merve Kılınç1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-1),* (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#f n-1),† (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#c orresp-1),
[*=left]Anna Juras2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-2),
[*=left]Dilek Koptekin3 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-3),
[*=left]Maciej Chyleński4 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-4),
[*=left]Alexey G. Nikitin5 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-5),
[*=left]Nikolai Shcherbakov6 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-6),
[*=left]Iia Shuteleva6 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-6),7 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-7),
[*=left]Tatiana Leonova6 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-6),
[*=left]Liudmila Kraeva8 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-8),
[*=left]Flarit A. Sungatov9 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-9),
[*=left]Alfija N. Sultanova9 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-9),
[*=left]Inna Potekhina10 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-10),
[*=left]Sylwia Łukasik2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-2),
[*=left]Marta Krenz-Niedbała2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-2),
[*=left]Love Dalén11 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-11),
[*=left]Vitaly Sinika12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-12),13 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-13),
[*=left]Mattias Jakobsson14 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-14),15 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-15),16 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-16),
[*=left]Jan Storå17 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-17) and
[*=left]Anders Götherström1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-1),† (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#c orresp-1)
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Science Advances 03 Oct 2018:
Vol. 4, no. 10, eaat4457
DOI: 10.1126/sciadv.aat4457
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AbstractFor millennia, the Pontic-Caspian steppe was a connector between the Eurasian steppe and Europe. In this scene, multidirectional and sequential movements of different populations may have occurred, including those of the Eurasian steppe nomads. We sequenced 35 genomes (low to medium coverage) of Bronze Age individuals (Srubnaya-Alakulskaya) and Iron Age nomads (Cimmerians, Scythians, and Sarmatians) that represent four distinct cultural entities corresponding to the chronological sequence of cultural complexes in the region. Our results suggest that, despite genetic links among these peoples, no group can be considered a direct ancestor of the subsequent group. The nomadic populations were heterogeneous and carried genetic affinities with populations from several other regions including the Far East and the southern Urals. We found evidence of a stable shared genetic signature, making the eastern Pontic-Caspian steppe a likely source of western nomadic groups.
INTRODUCTIONThe Pontic-Caspian steppe (PCS), stretching from the southern Urals to the western North Pontic lands, was the stage of various demographic changes in the past, and several of those remain unknown. During the Bronze and Iron Age, the area was inhabited by a succession of nomadic populations that had significant impact on the cultural development of both Asia and Europe (1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-1), 2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-2)). Possibly the best known of these groups is the Yamnaya. Recent genomic studies have revealed cross-continental Early Bronze Age migrations (~3000 BCE) of the nomadic people associated with the Yamnaya horizon (3 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-3), 4 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-4)). The migration introduced the Caucasus genetic component to the genetic landscape of Europe. In Central Europe, Yamnaya ancestry first appeared among people from the Corded Ware complex and has since been found in many subsequent ancient and present-day populations. However, the Pontic-Caspian steppe was critical not only for Early Bronze Age Yamnaya migrations but also because of succeeding movements and population transformations that took place in the developed classical stage of the Late Bronze and Iron Ages between 1800 BCE and 400 CE. This period covered the development of the Srubnaya and Alakulskaya Cultures (~1800–1200 BCE), associated with small settlement sites distributed from the Urals to the Dnieper valley (1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-1)). From around 1000 BCE, pre-Scythian nomadic populations started to appear in the western Pontic-Caspian steppe including the Cimmerians known from historical sources (5 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-5)). Despite regional variation and local peculiarities, the Cimmerians were not associated with any uniform type of archaeological material culture (6 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-6)). In the seventh century BCE, they were succeeded by the Scythians, who plausibly pushed the Cimmerians into Asia Minor (7 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-7)). Between 700 and 300 BCE, the Scythians, representing mobile pastoral nomads of a new militaristic type (1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-1)), dominated the Pontic-Kazakh steppe, occupying an area from the Altai to the Carpathian Mountains. Their decline began around 300 BCE and was caused by intensifying hostile relations with the Macedonians in the West and the invasion of the Sarmatians from the East. The Sarmatians and the Scythians are thought to have coexisted for a few centuries, but eventually, the former group prevailed (2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-2)), resulting in the Scythian downfall. The Sarmatians are believed to comprise a number of groups of similar nomadic background (8 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-8)), and they became the politically most influential force within the eastern fringes of the Roman Empire at the time. Their decline (~400 CE) was associated with the attack of the Goths and the subsequent invasion of the Huns (8 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-8)).
The genomic structure of the Bronze and Iron Age (1800 BCE–400 CE) populations in the Pontic-Caspian steppe has not been fully resolved. While earlier genomic studies have suggested close links between the Srubnaya and the central European Late Neolithic and Bronze Age populations (9 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-9)), our knowledge of the genetic origins of the Cimmerians is limited. Genetic analyses of maternal lineages of Scythians suggest a mixed origin and an east-west admixture gradient across the Eurasian steppe (10 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-10)–12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)). The genomics of two early Scythian Aldy-Bel individuals (13 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-13)) showed genetic affinities to eastern populations of Central Asia (12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)). However, population interactions and the origin of Scythians of the Pontic-Caspian steppe remain poorly understood. Similarly, little is known about the origins and genetic affinities of the Sarmatians. Genomic studies suggest that the latter group may have been genetically similar to the eastern Yamnaya and Poltavka Bronze Age groups (12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)). To investigate the demographic dynamics in the Pontic-Caspian steppe, we generated and analyzed genomes of the Late Bronze and Iron Age individuals from the region (Fig. 1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1), A and B).
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Fig. 1 Radiocarbon ages and geographical locations of the ancient samples used in this study.Figure panels presented counterclockwise: (A) Bar plot visualizing approximate timeline of presented and previously published individuals. (B) Map showing the locations of ancient individuals sequenced in this study and the locations of previously published ancient individuals used in comparative analyses. (C) Principal component analysis (PCA) plot visualizing 35 Bronze Age and Iron Age individuals presented in this study and in published ancient individuals (table S5) in relation to modern reference panel from the Human Origins data set (41 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-41)).
RESULTSWe produced genome-wide sequence data with genome coverage between 0.01× and 2.9× per individual for 35 Bronze Age and Iron Age individuals from the Pontic-Caspian steppe from four chronologically sequential cultural groups, which comprise Srubnaya-Alakulskaya individuals (n = 13), Cimmerians (n = 3), Scythians (n = 14), and Sarmatians (n = 5), with radiocarbon dates between ca. 1900 BCE and 400 CE (Fig. 1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1), A and B; tables S1 to S3; and fig. S1, A and B). All DNA libraries displayed damage patterns typical of ancient DNA (fig. S2) (14 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-14)). To ensure data integrity, we calculated mitochondrial DNA (mtDNA)–based contamination levels using distribution of private polymorphisms in mtDNA (15 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-15)) and a Bayesian likelihood method (16 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-16)). The former yielded point estimates of contamination between 0 and 10% [95% confidence intervals (CIs) between 0 and 17%], and the latter method revealed that all individuals carried sequences with >89% probability of being authentic (table S4). Thus, we included all sequenced individuals in the downstream analyses.
Late Bronze Age (LBA) Srubnaya-Alakulskaya individuals carried mtDNA haplogroups associated with Europeans or West Eurasians (17 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-17)) including H, J1, K1, T2, U2, U4, and U5 (table S3). In contrast, the Iron Age nomads (Cimmerians, Scythians, and Sarmatians) additionally carried mtDNA haplogroups associated with Central Asia and the Far East (A, C, D, and M) (table S3) (11 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-11), 18 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-18)). The absence of East Asian mitochondrial lineages in the more eastern and older Srubnaya-Alakulskaya population suggests that the appearance of East Asian haplogroups in the steppe populations might be associated with the Iron Age nomads, starting with the Cimmerians. The Y chromosome haplogroup variation in 17 of 18 males was limited to two major haplogroup lineages within the macrohaplogroup “R” (table S3). The Srubnaya-Alakulskaya individuals carried the Y haplogroup R1a, which showed a major expansion during the Bronze Age (19 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-19)). It has previously been found in Bronze Age individuals from the Krasnoyarsk Kurgan in Siberia (20 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-20)). The Iron Age nomads mostly carried the R1b Y haplogroup, which is characteristic of the Yamnaya of the Russian steppe (4 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-4)). An exception was a Cimmerian individual (cim358) who carried the Q1* lineage associated with the east (table S3).
Genetic relationships between Eurasian steppe nomads and present-day populationsPCA on the autosomal genomic data (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1) and table S5) revealed the following: (i) Srubnaya-Alakulskaya individuals exhibited genetic affinity to northern and northeastern present-day Europeans (fig. S3), and these results were also consistent with outgroup f3 statistics (table S6 and fig. S4A). (ii) The Cimmerian individuals, representing the time period of transition from Bronze to Iron Age, were not homogeneous regarding their genetic similarities to present-day populations according to the PCA. F3 statistics confirmed the heterogeneity of these individuals in comparison with present-day populations (table S6 and figs. S3 and S4C). (iii) The Scythians reported in this study, from the core Scythian territory in the North Pontic steppe (12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)), showed high intragroup diversity. In the PCA, they are positioned as four visually distinct groups compared to the gradient of present-day populations (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1)): (i) A group of three individuals (scy009, scy010, and scy303) showed genetic affinity to north European populations, hereafter referred to as a north European (NE) cluster. (ii) A group of four individuals (scy192, scy197, scy300, and scy305) showed genetic similarities to southern European populations, hereafter referred to as a south European (SE) cluster. (iii) A group of three individuals (scy006, scy011, and scy193) located between the genetic variation of Mordovians and populations of the North Caucasus, hereafter referred to as a steppe cluster (SC). In addition, one Srubnaya-Alakulskaya individual (kzb004), the most recent Cimmerian (cim357), and all Sarmatians fell within this cluster. In contrast to the Scythians, and despite being from opposite ends of the Pontic-Caspian steppe, the five Sarmatians grouped close together in this cluster. (iv) A group of three Scythians (scy301, scy304, and scy311) formed a discrete group
https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI
The scy197b was a Scythian from Moldova no more no less.
He still doesn't let me create the SZ18 kit. The scy197b is a Scythian from Moldova
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Fig. 1 Radiocarbon ages and geographical locations of the ancient samples used in this study.Figure panels presented counterclockwise: (A) Bar plot visualizing approximate timeline of presented and previously published individuals. (B) Map showing the locations of ancient individuals sequenced in this study and the locations of previously published ancient individuals used in comparative analyses. (C) Principal component analysis (PCA) plot visualizing 35 Bronze Age and Iron Age individuals presented in this study and in published ancient individuals (table S5) in relation to modern reference panel from the Human Origins data set (41 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-41)).
RESULTS
We produced genome-wide sequence data with genome coverage between 0.01× and 2.9× per individual for 35 Bronze Age and Iron Age individuals from the Pontic-Caspian steppe from four chronologically sequential cultural groups, which comprise Srubnaya-Alakulskaya individuals (n = 13), Cimmerians (n = 3), Scythians (n = 14), and Sarmatians (n = 5), with radiocarbon dates between ca. 1900 BCE and 400 CE (Fig. 1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1), A and B; tables S1 to S3; and fig. S1, A and B). All DNA libraries displayed damage patterns typical of ancient DNA (fig. S2) (14 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-14)). To ensure data integrity, we calculated mitochondrial DNA (mtDNA)–based contamination levels using distribution of private polymorphisms in mtDNA (15 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-15)) and a Bayesian likelihood method (16 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-16)). The former yielded point estimates of contamination between 0 and 10% [95% confidence intervals (CIs) between 0 and 17%], and the latter method revealed that all individuals carried sequences with >89% probability of being authentic (table S4). Thus, we included all sequenced individuals in the downstream analyses.
Late Bronze Age (LBA) Srubnaya-Alakulskaya individuals carried mtDNA haplogroups associated with Europeans or West Eurasians (17 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-17)) including H, J1, K1, T2, U2, U4, and U5 (table S3). In contrast, the Iron Age nomads (Cimmerians, Scythians, and Sarmatians) additionally carried mtDNA haplogroups associated with Central Asia and the Far East (A, C, D, and M) (table S3) (11 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-11), 18 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-18)). The absence of East Asian mitochondrial lineages in the more eastern and older Srubnaya-Alakulskaya population suggests that the appearance of East Asian haplogroups in the steppe populations might be associated with the Iron Age nomads, starting with the Cimmerians. The Y chromosome haplogroup variation in 17 of 18 males was limited to two major haplogroup lineages within the macrohaplogroup “R” (table S3). The Srubnaya-Alakulskaya individuals carried the Y haplogroup R1a, which showed a major expansion during the Bronze Age (19 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-19)). It has previously been found in Bronze Age individuals from the Krasnoyarsk Kurgan in Siberia (20 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-20)). The Iron Age nomads mostly carried the R1b Y haplogroup, which is characteristic of the Yamnaya of the Russian steppe (4 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-4)). An exception was a Cimmerian individual (cim358) who carried the Q1* lineage associated with the east (table S3).
Genetic relationships between Eurasian steppe nomads and present-day populations
PCA on the autosomal genomic data (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1) and table S5) revealed the following: (i) Srubnaya-Alakulskaya individuals exhibited genetic affinity to northern and northeastern present-day Europeans (fig. S3), and these results were also consistent with outgroup f3 statistics (table S6 and fig. S4A). (ii) The Cimmerian individuals, representing the time period of transition from Bronze to Iron Age, were not homogeneous regarding their genetic similarities to present-day populations according to the PCA. F3 statistics confirmed the heterogeneity of these individuals in comparison with present-day populations (table S6 and figs. S3 and S4C). (iii) The Scythians reported in this study, from the core Scythian territory in the North Pontic steppe (12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)), showed high intragroup diversity. In the PCA, they are positioned as four visually distinct groups compared to the gradient of present-day populations (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1)): (i) A group of three individuals (scy009, scy010, and scy303) showed genetic affinity to north European populations, hereafter referred to as a north European (NE) cluster. (ii) A group of four individuals (scy192, scy197, scy300, and scy305) showed genetic similarities to southern European populations, hereafter referred to as a south European (SE) cluster. (iii) A group of three individuals (scy006, scy011, and scy193) located between the genetic variation of Mordovians and populations of the North Caucasus, hereafter referred to as a steppe cluster (SC). In addition, one Srubnaya-Alakulskaya individual (kzb004), the most recent Cimmerian (cim357), and all Sarmatians fell within this cluster. In contrast to the Scythians, and despite being from opposite ends of the Pontic-Caspian steppe, the five Sarmatians grouped close together in this cluster. (iv) A group of three Scythians (scy301, scy304, and scy311) formed a discrete group
RESEARCH ARTICLEANTHROPOLOGY
Ancient genomes suggest the eastern Pontic-Caspian steppe as the source of western Iron Age nomads
[*=left]Maja Krzewińska1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-1),* (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#f n-1),† (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#c orresp-1),
[*=left]Gülşah Merve Kılınç1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-1),* (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#f n-1),† (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#c orresp-1),
[*=left]Anna Juras2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-2),
[*=left]Dilek Koptekin3 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-3),
[*=left]Maciej Chyleński4 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-4),
[*=left]Alexey G. Nikitin5 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-5),
[*=left]Nikolai Shcherbakov6 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-6),
[*=left]Iia Shuteleva6 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-6),7 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-7),
[*=left]Tatiana Leonova6 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-6),
[*=left]Liudmila Kraeva8 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-8),
[*=left]Flarit A. Sungatov9 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-9),
[*=left]Alfija N. Sultanova9 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-9),
[*=left]Inna Potekhina10 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-10),
[*=left]Sylwia Łukasik2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-2),
[*=left]Marta Krenz-Niedbała2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-2),
[*=left]Love Dalén11 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-11),
[*=left]Vitaly Sinika12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-12),13 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-13),
[*=left]Mattias Jakobsson14 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-14),15 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-15),16 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-16),
[*=left]Jan Storå17 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-17) and
[*=left]Anders Götherström1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#a ff-1),† (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#c orresp-1)
See all authors and affiliations
Science Advances 03 Oct 2018:
Vol. 4, no. 10, eaat4457
DOI: 10.1126/sciadv.aat4457
Article (https://advances.sciencemag.org/content/4/10/eaat4457)
Figures & Data (https://advances.sciencemag.org/content/4/10/eaat4457/tab-figures-data)
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Abstract
For millennia, the Pontic-Caspian steppe was a connector between the Eurasian steppe and Europe. In this scene, multidirectional and sequential movements of different populations may have occurred, including those of the Eurasian steppe nomads. We sequenced 35 genomes (low to medium coverage) of Bronze Age individuals (Srubnaya-Alakulskaya) and Iron Age nomads (Cimmerians, Scythians, and Sarmatians) that represent four distinct cultural entities corresponding to the chronological sequence of cultural complexes in the region. Our results suggest that, despite genetic links among these peoples, no group can be considered a direct ancestor of the subsequent group. The nomadic populations were heterogeneous and carried genetic affinities with populations from several other regions including the Far East and the southern Urals. We found evidence of a stable shared genetic signature, making the eastern Pontic-Caspian steppe a likely source of western nomadic groups.
INTRODUCTION
The Pontic-Caspian steppe (PCS), stretching from the southern Urals to the western North Pontic lands, was the stage of various demographic changes in the past, and several of those remain unknown. During the Bronze and Iron Age, the area was inhabited by a succession of nomadic populations that had significant impact on the cultural development of both Asia and Europe (1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-1), 2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-2)). Possibly the best known of these groups is the Yamnaya. Recent genomic studies have revealed cross-continental Early Bronze Age migrations (~3000 BCE) of the nomadic people associated with the Yamnaya horizon (3 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-3), 4 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-4)). The migration introduced the Caucasus genetic component to the genetic landscape of Europe. In Central Europe, Yamnaya ancestry first appeared among people from the Corded Ware complex and has since been found in many subsequent ancient and present-day populations. However, the Pontic-Caspian steppe was critical not only for Early Bronze Age Yamnaya migrations but also because of succeeding movements and population transformations that took place in the developed classical stage of the Late Bronze and Iron Ages between 1800 BCE and 400 CE. This period covered the development of the Srubnaya and Alakulskaya Cultures (~1800–1200 BCE), associated with small settlement sites distributed from the Urals to the Dnieper valley (1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-1)). From around 1000 BCE, pre-Scythian nomadic populations started to appear in the western Pontic-Caspian steppe including the Cimmerians known from historical sources (5 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-5)). Despite regional variation and local peculiarities, the Cimmerians were not associated with any uniform type of archaeological material culture (6 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-6)). In the seventh century BCE, they were succeeded by the Scythians, who plausibly pushed the Cimmerians into Asia Minor (7 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-7)). Between 700 and 300 BCE, the Scythians, representing mobile pastoral nomads of a new militaristic type (1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-1)), dominated the Pontic-Kazakh steppe, occupying an area from the Altai to the Carpathian Mountains. Their decline began around 300 BCE and was caused by intensifying hostile relations with the Macedonians in the West and the invasion of the Sarmatians from the East. The Sarmatians and the Scythians are thought to have coexisted for a few centuries, but eventually, the former group prevailed (2 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-2)), resulting in the Scythian downfall. The Sarmatians are believed to comprise a number of groups of similar nomadic background (8 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-8)), and they became the politically most influential force within the eastern fringes of the Roman Empire at the time. Their decline (~400 CE) was associated with the attack of the Goths and the subsequent invasion of the Huns (8 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-8)).
The genomic structure of the Bronze and Iron Age (1800 BCE–400 CE) populations in the Pontic-Caspian steppe has not been fully resolved. While earlier genomic studies have suggested close links between the Srubnaya and the central European Late Neolithic and Bronze Age populations (9 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-9)), our knowledge of the genetic origins of the Cimmerians is limited. Genetic analyses of maternal lineages of Scythians suggest a mixed origin and an east-west admixture gradient across the Eurasian steppe (10 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-10)–12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)). The genomics of two early Scythian Aldy-Bel individuals (13 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-13)) showed genetic affinities to eastern populations of Central Asia (12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)). However, population interactions and the origin of Scythians of the Pontic-Caspian steppe remain poorly understood. Similarly, little is known about the origins and genetic affinities of the Sarmatians. Genomic studies suggest that the latter group may have been genetically similar to the eastern Yamnaya and Poltavka Bronze Age groups (12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)). To investigate the demographic dynamics in the Pontic-Caspian steppe, we generated and analyzed genomes of the Late Bronze and Iron Age individuals from the region (Fig. 1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1), A and B).
https://advances.sciencemag.org/content/advances/4/10/eaat4457/F1.medium.gif (https://advances.sciencemag.org/content/advances/4/10/eaat4457/F1.large.jpg?width=800&height=600&carousel=1)
Download high-res image (https://advances.sciencemag.org/content/advances/4/10/eaat4457/F1.large.jpg?download=true)
Open in new tab (https://advances.sciencemag.org/content/advances/4/10/eaat4457/F1.large.jpg)
Download Powerpoint (https://advances.sciencemag.org/highwire/powerpoint/207658)
Fig. 1 Radiocarbon ages and geographical locations of the ancient samples used in this study.Figure panels presented counterclockwise: (A) Bar plot visualizing approximate timeline of presented and previously published individuals. (B) Map showing the locations of ancient individuals sequenced in this study and the locations of previously published ancient individuals used in comparative analyses. (C) Principal component analysis (PCA) plot visualizing 35 Bronze Age and Iron Age individuals presented in this study and in published ancient individuals (table S5) in relation to modern reference panel from the Human Origins data set (41 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-41)).
RESULTS
We produced genome-wide sequence data with genome coverage between 0.01× and 2.9× per individual for 35 Bronze Age and Iron Age individuals from the Pontic-Caspian steppe from four chronologically sequential cultural groups, which comprise Srubnaya-Alakulskaya individuals (n = 13), Cimmerians (n = 3), Scythians (n = 14), and Sarmatians (n = 5), with radiocarbon dates between ca. 1900 BCE and 400 CE (Fig. 1 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1), A and B; tables S1 to S3; and fig. S1, A and B). All DNA libraries displayed damage patterns typical of ancient DNA (fig. S2) (14 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-14)). To ensure data integrity, we calculated mitochondrial DNA (mtDNA)–based contamination levels using distribution of private polymorphisms in mtDNA (15 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-15)) and a Bayesian likelihood method (16 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-16)). The former yielded point estimates of contamination between 0 and 10% [95% confidence intervals (CIs) between 0 and 17%], and the latter method revealed that all individuals carried sequences with >89% probability of being authentic (table S4). Thus, we included all sequenced individuals in the downstream analyses.
Late Bronze Age (LBA) Srubnaya-Alakulskaya individuals carried mtDNA haplogroups associated with Europeans or West Eurasians (17 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-17)) including H, J1, K1, T2, U2, U4, and U5 (table S3). In contrast, the Iron Age nomads (Cimmerians, Scythians, and Sarmatians) additionally carried mtDNA haplogroups associated with Central Asia and the Far East (A, C, D, and M) (table S3) (11 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-11), 18 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-18)). The absence of East Asian mitochondrial lineages in the more eastern and older Srubnaya-Alakulskaya population suggests that the appearance of East Asian haplogroups in the steppe populations might be associated with the Iron Age nomads, starting with the Cimmerians. The Y chromosome haplogroup variation in 17 of 18 males was limited to two major haplogroup lineages within the macrohaplogroup “R” (table S3). The Srubnaya-Alakulskaya individuals carried the Y haplogroup R1a, which showed a major expansion during the Bronze Age (19 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-19)). It has previously been found in Bronze Age individuals from the Krasnoyarsk Kurgan in Siberia (20 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-20)). The Iron Age nomads mostly carried the R1b Y haplogroup, which is characteristic of the Yamnaya of the Russian steppe (4 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-4)). An exception was a Cimmerian individual (cim358) who carried the Q1* lineage associated with the east (table S3).
Genetic relationships between Eurasian steppe nomads and present-day populations
PCA on the autosomal genomic data (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1) and table S5) revealed the following: (i) Srubnaya-Alakulskaya individuals exhibited genetic affinity to northern and northeastern present-day Europeans (fig. S3), and these results were also consistent with outgroup f3 statistics (table S6 and fig. S4A). (ii) The Cimmerian individuals, representing the time period of transition from Bronze to Iron Age, were not homogeneous regarding their genetic similarities to present-day populations according to the PCA. F3 statistics confirmed the heterogeneity of these individuals in comparison with present-day populations (table S6 and figs. S3 and S4C). (iii) The Scythians reported in this study, from the core Scythian territory in the North Pontic steppe (12 (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#r ef-12)), showed high intragroup diversity. In the PCA, they are positioned as four visually distinct groups compared to the gradient of present-day populations (Fig. 1C (https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI#F 1)): (i) A group of three individuals (scy009, scy010, and scy303) showed genetic affinity to north European populations, hereafter referred to as a north European (NE) cluster. (ii) A group of four individuals (scy192, scy197, scy300, and scy305) showed genetic similarities to southern European populations, hereafter referred to as a south European (SE) cluster. (iii) A group of three individuals (scy006, scy011, and scy193) located between the genetic variation of Mordovians and populations of the North Caucasus, hereafter referred to as a steppe cluster (SC). In addition, one Srubnaya-Alakulskaya individual (kzb004), the most recent Cimmerian (cim357), and all Sarmatians fell within this cluster. In contrast to the Scythians, and despite being from opposite ends of the Pontic-Caspian steppe, the five Sarmatians grouped close together in this cluster. (iv) A group of three Scythians (scy301, scy304, and scy311) formed a discrete group
https://advances.sciencemag.org/content/4/10/eaat4457?fbclid=IwAR2kB2rFjt-HpIgDmLzl9qnQ5EDwi9LLivZu5p3Jx2NgiOxGk2nX8MZIVeI
The scy197b was a Scythian from Moldova no more no less.
thanks
I asked , because I only go to one site which gives me the markers and the official papers ..................but it updates only 6 times a year
https://umap.openstreetmap.fr/en/map/ancient-human-dna_41837#6/51.000/2.000
Palermo Trapani
26-01-20, 04:20
I went ahead and did a quick run. I am getting Ancient Greece and Roman, which based on the runs I did using the samples Duarte and Jovialis put together, not surprising. For modern populations not bad but West Sicilian is #4 which is where all my ancestors came from. But overall a really neat tool.
Your closest Ancient populations...
https://mytrueancestry.com/img/Mycenaean.jpgAncient Greek
https://mytrueancestry.com/img/RomanCentral.jpgRoman
Ancient GreeksRomansHellenic RomansThraciansRoman Hispania
Ancient Greek + Roman (3.268)
Hellenic Roman + Roman (3.806)
Ancient Greek + Hellenic Roman (4.592)
Hellenic Roman + Thracian (4.796)
Hellenic Roman + Roman Hispania (5.612)
Hellenic Roman (8.394)
Roman (8.842)
Ancient Greek (10.44)
Thracian (10.85)
Roman Hispania (14.17)
Your closest genetic modern populations...
Info (https://mytrueancestry.com/c/main.py#)
1. East_Sicilian (5.638)
2. South_Italian (5.703)
3. Central_Greek (6.399)
4. West_Sicilian (6.457)
5. Italian_Abruzzo (7.737)
6. Italian_Jewish (8.336)
7. Greek_Islands (8.757)
8. Greek_Crete (8.838)
My R437 rw, Jovialis R1 and R850 rw
https://i.imgur.com/W9KY9B3.gif
https://i.imgur.com/Rf2vkoN.gif
https://i.imgur.com/eZ27djO.gif
Palermo Trapani
26-01-20, 05:34
Salento: What level is that to do those comparisons. I signed up for Level 4, and I think it is a good investment for what I paid. Can I do those comparisons with Level 4. Just started doing some analysis as I just paid a few minutes ago. Thanks in advance.
Salento: What level is that to do those comparisons. I signed up for Level 4, and I think it is a good investment for what I paid. Can I do those comparisons with Level 4. Just started doing some analysis as I just paid a few minutes ago. Thanks in advance.
You need Olympus to create default Ancient Kits,
I have Zeus, a step below, ... so I uploaded the RawData of the Ancient Kits above instead :)
My Byzantine matches:
83. Byzantine Empire Troy (1300 AD) ..... 19.27 - ByzantineNod1
95. Byzantine Roman Warrior (605 AD) ..... 20.38 - NS3b
Palermo Trapani
26-01-20, 07:05
You need Olympus to create default Ancient Kits,
I have Zeus, a step below, ... so I uploaded the RawData of the Ancient Kits above instead :)
Miei Complimenti Salento!
https://1.bp.blogspot.com/-bndKfBQ3w_w/Xi2EwfjCGlI/AAAAAAAACf0/KiE1xkMpkr8dhqc2UelsUMnQrwUH0HxqgCLcBGAsYHQ/s1600/MIO1.JPEG
https://1.bp.blogspot.com/-pPS1s3ADC2k/Xi2E1UKLTrI/AAAAAAAACf4/cAuaPusqDMgC9F7VSf0Vr-X6LDO_oms8ACLcBGAsYHQ/s1600/MIO3.JPEG
https://1.bp.blogspot.com/-tRsHStD_FcI/Xi2E5m8cwsI/AAAAAAAACf8/MdneYASsAIUeqFSMeS20RX_y4oPwl7YwQCLcBGAsYHQ/s1600/M%25C3%258DO.JPEG
https://1.bp.blogspot.com/-48o3e_t8XSc/Xi2eBNOwLcI/AAAAAAAACgc/Hs635GZp6EM18cZjoNMjL0MwOlAlJBbtACLcBGAsYHQ/s1600/miogalloroman.jpeg
https://1.bp.blogspot.com/-LBtFGM67cA4/Xi2eKND0ThI/AAAAAAAACgg/N7Nl4jwl1XUgrKRoCtrz6HN943S7_fktACLcBGAsYHQ/s1600/MIOgaloroman2.jpeg
https://1.bp.blogspot.com/-UCHw09kHVek/Xi2eNfmXpPI/AAAAAAAACgk/VAnkH_zmyREI9lRI2RHjJfknKnkhMRdsgCLcBGAsYHQ/s1600/miogaloromancripta.jpeg
https://1.bp.blogspot.com/-_tTL-hThmdw/Xi2ePfbAmvI/AAAAAAAACgo/8Mx1Y9SStZYwWgz234ZwV6o48FV7gpN1QCLcBGAsYHQ/s1600/MIOgironaSANTJULIADEremis.jpeg
https://1.bp.blogspot.com/-QwUBq_J-QcY/Xi2eRuwbrRI/AAAAAAAACgw/3Owbh0w8yK4XaeQjzO4xCV4NeMC6qssJgCLcBGAsYHQ/s1600/MIOiberianPiedmont.jpeg
https://1.bp.blogspot.com/-njQS0oqeK34/Xi2eUY-NvXI/AAAAAAAACg0/FzkzWox3w6ExvH1Oqveos6DdlAgILXgWgCLcBGAsYHQ/s1600/MIOnorthalpinebronze.jpeg
https://1.bp.blogspot.com/-l8PAaVjMrGE/Xi2eWnX865I/AAAAAAAACg4/5farsN3dhWg0V7k9StxyQ--LatTapSeOACLcBGAsYHQ/s1600/MIOsantJuliadeRamis.jpeg
https://1.bp.blogspot.com/--yFTyjN3PUo/Xi2eYwrzsfI/AAAAAAAACg8/YogQin3uEps3VfXN8zAH4EnwOV7kS_ziACLcBGAsYHQ/s1600/MIOvasconic.jpeg
Roman Hispania does not appear. The highest peaks coincide with Visigoths, Gallo-Roman late Roma, medieval, late medieval with older correspondences on par with Cogotas, Etruscans, North Alpine. During Al-Andalus it seems that I endure the body of my ancestral Iberia mix well. I have the impression that it is the fifth century that influences my composition by altering it at the end of Rome. I don't know if I'm right but it's the impression I have and Medieval Late Medieval.
Palermo Trapani
31-01-20, 05:24
My Byzantine matches:
83. Byzantine Empire Troy (1300 AD) ..... 19.27 - ByzantineNod1
95. Byzantine Roman Warrior (605 AD) ..... 20.38 - NS3b
Salento: Those,based on My True Ancestry's definitions, are both good matches. <=10 is defined as this is your ancient ancestry and <=20 this person is part of your ancestral link.
Salento: Those,based on My True Ancestry's definitions, are both good matches. <=10 is defined as this is your ancient ancestry and <=20 this person is part of your ancestral link.
No, they’re not,
Nº 83 and 95 out of 100.
Palermo Trapani
31-01-20, 21:17
So a distance score of 19.37 and 20.38, even though your #83 and 95 out of 100 closest matches, would still indicate some genetic affinity and relationship? or I am misinterpreting or overstating the genetic affinity between you and those 2 Byzantine Greeks.
my sister's result for deep dive breakdown
https://i.postimg.cc/nL0Dv7Cj/sonia.png (https://postimages.org/)
my father is very similar except top is scythian and bottom is Illyrian
So a distance score of 19.37 and 20.38, even though your #83 and 95 out of 100 closest matches, would still indicate some genetic affinity and relationship? or I am misinterpreting or overstating the genetic affinity between you and those 2 Byzantine Greeks.
I don’t know, but according to what others say any distance over 5 is too far.
my 10 - 11 ... distance matches were criticized for been too far, now, imagine 19 or 20, ....
Palermo Trapani
31-01-20, 23:44
Salento: My interpretation was based on MyTrueAncestry's definitions. For Ancient Populations, they noted that a score of <=10 indicates this is part of your Ancient ancestry. A score of <=20 indicates a population that you are related to and I think for a score of <=30, then one that you could be related to. For Modern populations, <=5 is a population that is like a Match, <=10 is one that you have a close relation to and <=15 indicates one that you are probably related to. I have wondered what is a clear methodology for interpreting these genetic distances used from these calculators and have not been able to find an article from a Statistics Journal that has run these models and come up with a way to define them. MyTrueAncestry is the first site that has provided some definitions for interpreting the Distance numbers, maybe there are others, but that is the first one I have seen. I both modern and Deep Ancestry dives and then clicked the Info which described how to interpret the distances. So that was the context I made my post #223 above.
Definitions for Modern Populations
What do these numbers mean?
Genetic distance measures how close you are to a given modern population. Many modern populations are surprisingly close to another, which is often due to true common ancestry.
5 means you are close to this population
10 means you could fit into this population
15 means a related population
Definitions for Ancient Populations
What do these numbers mean?
Genetic distance measures how close you are to a given sample.
10 means this is your ancient ancestry
20 means this is part of your ancestral link
30 means possibly related to your ancestry
The info button displays detailed sample information - a green circle around the info button reveals a Sample Spotlight.
Salento: My interpretation was based on MyTrueAncestry's definitions. For Ancient Populations, they noted that a score of <=10 indicates this is part of your Ancient ancestry. A score of <=20 indicates a population that you are related to and I think for a score of <=30, then one that you could be related to. For Modern populations, <=5 is a population that is like a Match, <=10 is one that you have a close relation to and <=15 indicates one that you are probably related to. I have wondered what is a clear methodology for interpreting these genetic distances used from these calculators and have not been able to find an article from a Statistics Journal that has run these models and come up with a way to define them. MyTrueAncestry is the first site that has provided some definitions for interpreting the Distance numbers, maybe there are others, but that is the first one I have seen. I both modern and Deep Ancestry dives and then clicked the Info which described how to interpret the distances. So that was the context In made my post #223 above.
The distances I mentioned were about MTA, I already said what mods and users stated about my MTA 10 / 11 distances. ... too far! regardless the MTA info.
Palermo Trapani
01-02-20, 00:28
Salento: Ok, so the rule of thumb for ancient populations is <=10 to considered a close match for an Ancient population and thus considered something worth posting and opening up for discussion. I will try and go with that as best I can if that is the protocol used for Ancients vs. ones own DNA comparisons. Thanks.
Salento: Ok, so the rule of thumb for ancient populations is <=10 to considered a close match for an Ancient population and thus considered something worth posting and opening up for discussion. I will try and go with that as best I can if that is the protocol used for Ancients vs. ones own DNA comparisons. Thanks.
If we follow protocol we won’t have much to show.
the latest samples I posted were on the 19 distance range, lol
keep posting :)
Some curious things in the difference in the treatment of some perirodo and others
94. Tartessian Archaic Andalusia (600 BC) ..... 16.35 - I12171 -
The necropolis of La Angorilla is located near Sevilla Spain and dates from the 8th to 6th century BC. The tombs present rectangular shape and are oriented in a west-east direction, a feature common amongst the necropolis of the Phoenician archaic period in the Iberian Peninsula.
22. Bronze Age Spain Cogotas (1290 BC) ..... 12.13 - I12209 -
La Requejada is a site located on a terrace of the river Duero in Castilla y Leon Spain. As with other Cogotas I sites, nearby were numerous structures filled with refuse material (ceramic shards, animal bones, ashes).
This individual was an infantile male.
64. Roman Era Girona (80 AD) ..... 14.63 - I8339
Empuries is a major Ancient Greek and Ancient Roman archaeological site in Girona Province, on the Mediterranean coast of the Spanish region of Catalonia.
It comprises the ruins of the Ancient Greek colony of Emporion established by colonists from the Ionian Greek city of Phocaea in Anatolia in the first half of the 6th century BC, and the ruins of an Ancient Roman fortified camp turned into a town in the 1st century BC, the earliest traces of Roman presence in the area. At the beginning of the Roman imperial period, the Greek and Roman towns were integrated into municipium Emporiae.
Archaeological structures in the vicinity of Empuries include remains from as early as the Neolithic, through the Final Bronze Age and the Early Iron Age, and the again in the Late Antiquity and Medieval Period, even though the Roman city was abandoned in the 3rd century AD.
Even though the first archaeological excavations of Empuries began in 1908, the Greek and Roman ruins and their respective burial sites had already been looted repeatedly. The fact that human remains had not been preserved in most of the tombs and graves limited the anthropological information about the site until new discoveries began to be made in the 1980s.
The remains of a total of 24 people discovered since then have been genetically analyzed revealing previously unattainable information about life in Empuries during the Antiquity period.
The construction of a new visitor center led to rescue excavations in 2010, which exposed a necropolis of tombs south of the Ancient Greek town. The necropolis is dated to between 500 BC and 350 BC based on the remains of ten people.
Further digs revealed that the area even further to the south was used as a cemetery in the Roman period, with pit burials and tombs covered with tegulae (Roman tiles) from the 2nd century AD. The remains of five people recovered from them were dated to between 100 AD and 200 AD. Those of a sixth person are dated to between 43 BC and 51 AD, and those of a seventh person - to between 57 AD and 208 AD.
112. Roman Villa Tarragona (350 AD) ..... 17.04 - I6490
The Mas Gassol archaeological site in Catalonia, Spain comprises the ruins of an Ancient Roman countryside villa (villa rustica), with a small necropolis. The Roman remains in question are dated to the period between 200 AD and 500 AD. It is located near the town of Alcover, Tarragona Province, 18 km away from the city of Tarragona (Tarraco), at the foot of the Prades Mountains, at an altitude of 235 m above sea level. Tarragona itself is known as the earliest Roman settlement on the Iberian Peninsula, founded back in 218 BC. Subsequently, it developed into the capital of the Roman province of Hispania Citerior (197-27 BC) and then Hispania Tarraconensis (27 BC-476 AD).
Roman Tarragonas hinterland (called Ager Tarraconensis) was dotted with numerous countryside villas specialized in farming and livestock breeding.
Mas Gassol countryside villa featured a landowners residence as well as what is described as a farming management center. The villa necropolis, which was in use in the 3rd 5th century AD, was found to have a total of six graves containing the remains of 10 people - 8 adults and 2 children.
Five of the graves in question were built of tegulae (Roman tiles) and limestone slabs, with material derived from the area. Three of those contained the remains of more than one person: two adults in two of those, and two adults and one child in the third one.
The sixth grave was a burial in a wooden coffin which proved to be the resting place of a child who was aged 5 or 6.
The deceased buried in the six graves in the Mas Gassol necropolis was laid to rest with their heads pointing northwest, looking in the direction of the rising of the sun.
The landscape around Mas Gassol can be seen here (https://mytrueancestry.com/c/main.py#). Human teeth from the Roman graves (https://mytrueancestry.com/c/main.py#) at Mas Gassol have been used in a wide-ranging research on the genomic history of the Iberian Peninsula.
149. Roman Villa Granada Spain (300 AD) ..... 18.86 - I4055
The Roman villa of Camino de Ronda-Plaza Einstein is in the city of Granada (Spain) with a necropolis dated to the 3rd and 4th centuries. Nearby artifacts include common ware with comb-incised decoration and Africa TSA type tableware.
That's all they have to say about the vettones and that's all they have to say nothing more and nothing less than the Tartessos Kingdom.
The Tarraconense had a seat in the Roman Senate, I think not, La Bética and the conventus gaditanus did have both seats in the Roman Senate.
But please, very badly done in this regard.
https://www.diariodecadiz.es/resources/images/0000599420.jpg
With reserved seats in RomeTwo researchers from the University of Cádiz travel to the Italian capital to analyze two inscriptions with the word 'Gaditanorum' in the stands of the Colosseum · They have been documented since 1939
In fact, both inscriptions are published in the epigraphic catalogs, a corpus of Roman inscriptions called CIL (Corpus Inscripcionum Latinarum), specifically in the volume dedicated to Rome: "They are collected, but have not had significance because from Rome it looks like a something far away, but we are very interested because it verifies that there are very intense relations between the two cities, even long after the Balbo era, which is the peak of relations between Gades and the capital of the empire. that in Cádiz there were very wealthy families who could reserve seats in the cavea, in the privileged area of the Colosseum. " They were seats, in short, intended for senators or privileged groups of Roman society.
"And it is the only inscription in the entire coliseum concerning the reservation of seats for citizens of a municipality. There is no other inscription that speaks of cities that had a reserved place in the colosseum, which does not mean that no there would be, but none have been preserved, "says Bernal.
The inscriptions can be contemplated at the moment in the colosseum, in an area of the amphitheater that is restored and that can be visited; in fact it is the only area in the stands that is restored.
Darío Bernal confirms the importance of Gades among the cities that formed the Roman Empire, an importance based on trade, in the economy: "It was a fundamental seaport in the commercial relations between the Mediterranean and the Italian Peninsula, with oil, flax, the salting of fish, and this allowed the oligarchy, the great Cadiz families, to promote themselves to this point, "explains the UCA professor.
https://www.diariodecadiz.es/ocio/asientos-reservados-Roma_0_381562208.html
And so I could continue with The Kingdom of Tartessos and Cogotas, but well they will see what they do in the treatment they give to different cultures e.t.c.
https://i.imgur.com/oOJtOiP.png
Well-constituted boys who eat seafood, I had to be there.
https://1.bp.blogspot.com/-KU0O7pKhecs/XjWxiDm8pVI/AAAAAAAACnY/HRs7EMjcEnk995BL9VCVL0lrAiJv47FbACLcBGAsYHQ/s1600/vikingmassacre.jpg
https://1.bp.blogspot.com/-KU0O7pKhecs/XjWxiDm8pVI/AAAAAAAACnY/HRs7EMjcEnk995BL9VCVL0lrAiJv47FbACLcBGAsYHQ/s1600/vikingmassacre.jpg
https://1.bp.blogspot.com/-tZPzg5BU90U/XjWxqiVi0HI/AAAAAAAACng/h5gtixQR7Yk79U5O5gByDzD1cGwBHBk8QCLcBGAsYHQ/s1600/vikingmasacre3.jpeg
https://1.bp.blogspot.com/-mEoDb5IKrDs/XjWxnUACfII/AAAAAAAACnc/NFm-WqEZaZQNzQNfK9DJZSl4_ZUvd7Q4gCLcBGAsYHQ/s1600/vikingmasacre2.jpeg
Palermo Trapani
03-02-20, 18:17
If we follow protocol we won’t have much to show.
the latest samples I posted were on the 19 distance range, lol
keep posting :)
Ok, will do, Cheers.
Now we are going to study one of my Deep Dives
Does it make you?
I knew it, well let's go there. After having published in other threads tons of straw bales of wet paper that has not served for anything, we fly to the little that we have minimally decent.
https://1.bp.blogspot.com/-rlrjcD7D00A/XiHX0PZVJbI/AAAAAAAACTw/mcRrPPrXHwI1-GYPdBbFw0-Kvai-LKM0ACLcBGAsYHQ/s1600/VasconesTribeVasconiaI3759.JPEG
https://1.bp.blogspot.com/-cAAF8gC2OH0/Xi96FiKcoeI/AAAAAAAACis/el8BUlsKdechveAr_L46lk-52_nZqydGwCLcBGAsYHQ/s1600/vasconesVasconia.jpeg
https://1.bp.blogspot.com/-tFiapV3vRHg/Xj12U6Kq9KI/AAAAAAAACwY/VOHeDnLb7cc7vEiAjQlxkk3sZoYlk0D8QCLcBGAsYHQ/s1600/closestancient.jpeg
https://1.bp.blogspot.com/-j89jlU571oA/Xj7Rlmc7BII/AAAAAAAACzk/XIpV6OnFnBwKkQ8sHWPMCPSdqdCIjouqwCLcBGAsYHQ/s1600/breakdown2o.jpg
https://1.bp.blogspot.com/-xwbxs7EJpyM/Xj12g-51INI/AAAAAAAACwk/gWUjgAWVFx4fXS6mDDmkun9IFoaz19c9ACLcBGAsYHQ/s1600/deepdivemape.jpeg
https://1.bp.blogspot.com/-xrH93VyRUxI/Xj12sUE-8HI/AAAAAAAACww/yZEh4HlzzC0H67AjsltKeiEPYvNFeTL6ACLcBGAsYHQ/s1600/premiumeurope.jpeg
https://1.bp.blogspot.com/-CdcOieQZGr8/Xj12x1siSWI/AAAAAAAACw4/GZYGRoqhe0g6g3kRFGXz92TzjF6qCtYGwCLcBGAsYHQ/s1600/timeline25samples.jpeg
https://1.bp.blogspot.com/-e9ShFSuVSIQ/Xj122XR5wKI/AAAAAAAACw8/i28JQ4AUoTksViXQp6R8ihN-GYMonubsQCLcBGAsYHQ/s1600/timeline100samples.jpeg
https://1.bp.blogspot.com/-a45sDmE8nDU/Xj127nDD3iI/AAAAAAAACxA/EYIsXETLqq4mgZW_-09NWgGMZTSriPWVgCLcBGAsYHQ/s1600/timeline200samples.jpeg
https://1.bp.blogspot.com/-yTxp2-sKJlY/Xj7TKEEnkSI/AAAAAAAACzw/74XxmgW3eogea55QDEA9-hVbwKomAIujACLcBGAsYHQ/s1600/breakdowntelara%25C3%25B1a2o.jpeg
https://1.bp.blogspot.com/-wP9tySOmwWY/Xj13G3fKADI/AAAAAAAACxM/XmzwGj_h3Zosm8TZa4MOMxPBFfEWkVdeACLcBGAsYHQ/s1600/ydistribution.jpeg
https://1.bp.blogspot.com/-DsZO8kiLR5w/Xj13JrvmO1I/AAAAAAAACxQ/1TaY4Itfxpsp5CesUH6F_KNFpZVZIboYACLcBGAsYHQ/s1600/mtdistribution.jpeg
https://1.bp.blogspot.com/-JdOS7dR-mVU/Xj13SYxLtZI/AAAAAAAACxU/eHFug6o_HGYC7Gs9omHf_RpeVFkC0a5xgCLcBGAsYHQ/s1600/alpinebronzeage.jpeg
https://1.bp.blogspot.com/-eyceSFAizkI/Xj13Vs0Ks8I/AAAAAAAACxY/JPrLkqvd97I6_-ENqNn0-YVevcqKs7apwCLcBGAsYHQ/s1600/bronzeagespaincogotas.jpeg
https://1.bp.blogspot.com/-LOZG4RWBmTA/Xj13YgQICAI/AAAAAAAACxg/k7Qxw9wlSjgW65NnuiGWyqyS6cAjcI8zACLcBGAsYHQ/s1600/bronzeagespaincogotas2.jpeg
https://1.bp.blogspot.com/-8ogyJmHbrJw/Xj13bdjUb2I/AAAAAAAACxo/32uIqM96e0wK-WAxu_hp_s2oF3UdL--LgCLcBGAsYHQ/s1600/celtiberiannorternspain.jpeg
https://1.bp.blogspot.com/-vq0klFhePtY/Xj13eU_FswI/AAAAAAAACxs/ZL_n1oWSHvYlyZ1DYpN8IRWKwBoLlfkrACLcBGAsYHQ/s1600/galloroman.jpeg
https://1.bp.blogspot.com/-HXzU7nMuK3Q/Xj13gzrb5VI/AAAAAAAACxw/gn7fXl_Euh4hYa4Dp8phOh8xVDprjfA_ACLcBGAsYHQ/s1600/galoroman.jpeg
https://1.bp.blogspot.com/-O39VXaUnIm8/Xj13jpL9XMI/AAAAAAAACx4/6sR9m3p9N-YnwMPOdhcN0KdJKSvBQuJiwCLcBGAsYHQ/s1600/galoromancrypta.jpeg
https://1.bp.blogspot.com/-LpHPIKH_Sfg/Xj13mmDHNLI/AAAAAAAACyA/erN9GuxlPI85d8iUi20EyTx75U9gYGXiQCLcBGAsYHQ/s1600/iberianilergetes.jpeg
https://1.bp.blogspot.com/-oI0lzcfu90k/Xj13pHk7clI/AAAAAAAACyE/PdHLgrADreYaTIaoBTvL-rJwTapB2TjxACLcBGAsYHQ/s1600/ilergetesOutliercatalan.jpeg
https://1.bp.blogspot.com/-ju129DYsYL0/Xj13sR6FTuI/AAAAAAAACyI/J15T4Trce-wYi2IgBNOLO3tOgBrpPknBQCLcBGAsYHQ/s1600/irelandcooper.jpeg
https://1.bp.blogspot.com/-uAp3TZxxDSc/Xj131fdR8iI/AAAAAAAACyY/V-cpa20pOik4I0hXDcjTZvmPwUfNCC5rwCLcBGAsYHQ/s1600/settlerviking.jpeg
https://1.bp.blogspot.com/-FgpPfWjPnas/Xj134GmnXvI/AAAAAAAACyg/-k-bO3ZUxuIluofY-ezrGdE2F6h0e8OjwCLcBGAsYHQ/s1600/Westerngermany.jpeg
https://1.bp.blogspot.com/-skwNVmE-_UQ/Xj2CUtDoH8I/AAAAAAAACy8/KhxISvXsGUAYKDR7zN5h4YJwJd1ba809wCLcBGAsYHQ/s1600/outliersamples.jpeg
https://1.bp.blogspot.com/-JpB-P6tIelk/Xj2CK07W-1I/AAAAAAAACy4/ON2zCnhUcQ4jbwhvcDfQY6nJYHI2x5bywCLcBGAsYHQ/s1600/Eras.jpeg
1+2=3
2+1=3
let me know if I am wrong ........but the timeline below , once you move the middle bar to BC times includes/adds others
https://i.postimg.cc/wjLW35f8/my-ancestral.png (https://postimages.org/)
so I assume only the Orange bars are for me and they are the only ones that appear on the default...it this correct
Red and blue bars are not mine ??!!
11795
Does anybody know what time in history the Ancient Swedes settled in the British Isles or France; becides the England Runes? I�m not seeing anything online and I�m hoping that there is some history material in another language :)
11795
Does anybody know what time in history the Swedish Vikings settled in the British Isles or France; becides the England Runes? I�m not seeing anything online and I�m hoping that there is some history material in another language :)
the invasions started in the 9th century
My sister got her ancestry results back yesterday. Some interesting matches on MTA as well
Myself:
Viking + Celt (2.149)
Viking Danish + Vandal (3.46)
Celt + Saxon (3.622)
Celt + Vandal (3.737)
Viking + Saxon (3.995)
Celt (5.432)
Vandal (5.617)
Saxon (5.708)
Viking Danish (6.759)
Viking (7.302)
Sibling:
Viking Danish + Saxon (4.993)
Celt + Saxon (5.59)
Celt + Frank (5.921)
Celt (6.036)
Viking Danish + Celt (6.145)
Saxon + Frank (6.61)
Viking Danish (8.702)
Frank (9.124)
Saxon (9.39)
Viking Icelandic (10.83)
Myself:
Your closest Archaeogenetic matches...(Smaller numbers mean closer matches to you)Info (https://mytrueancestry.com/c/main.py#)
1. Celtic Mix Lombard (580 AD) ..... 4.462 - CL83 - ?
Top
99 % match vs all users
2. Early Bronze Age Thames (1800 BC) ..... 5.02 - I5377 -
Top
96 % match vs all users
3. Scotland Late Bronze Age (900 BC) ..... 5.297 - I2860 -
Top
96 % match vs all users
4. St Marys Coffin Maryland (1683 AD) ..... 5.432 - I2097 -
Top
98 % match vs all users
5. Bronze Age Celt England (1000 BC) ..... 5.435 - I5383 -
Top
99 % match vs all users
6. Medieval Upper Bavaria Germany (1068 AD) ..... 5.441 - Petersberg -
Top
99 % match vs all users
7. Lugii Tribe Iron Age Maslomecz (300 AD) ..... 5.617 - PCA100_Mas13 - ?
Top
99 % match vs all users
8. Bell Beaker England (2100 BC) ..... 5.646 - I2452 -
Top
97 % match vs all users
9. Saxon Hinxton (720 AD) ..... 5.708 - HinxtonO1 -
Top
90 % match vs all users
10. Merovingian Noble (605 AD) ..... 5.739 - NS1 -
Top
98 % match vs all users
11. Celto-Germanic Medieval Denmark (1270 AD) ..... 5.82 - G21 -
Top
96 % match vs all users
12. Scotland Late Bronze Age (900 BC) ..... 5.824 - I2859 -
Top
97 % match vs all users
13. Nordic Lombard (590 AD) ..... 5.968 - SZ15 -
Top
92 % match vs all users
14. Celtic Briton (1 AD) ..... 6.111 - Hinxton 4
Top
96 % match vs all users
15. Celt Hinxton Iron Age (45 BC) ..... 6.127 - HI2 -
Top
93 % match vs all users
16. Bell Beaker England (2150 BC) ..... 6.262 - I1767 -
Top
85 % match vs all users
17. Late Iron Age Linton Cambridgeshire (205 BC) ..... 6.463 - Linton -
Top
89 % match vs all users
18. North Alpine Bronze Age (1812 BC) ..... 6.524 - AITI_50 -
Top
98 % match vs all users
19. Bronze Age Scotland (1450 BC) ..... 6.54 - I2573 -
Top
98 % match vs all users
20. Post Viking Denmark Odense (1250 AD) ..... 6.759 - G48 -
Top
87 % match vs all users
21. Celtic-Saxon Hinxton Iron Age (67 BC) ..... 6.788 - HI1 -
Top
84 % match vs all users
22. Viking Celtic Boat Burial Iceland (925 AD) ..... 6.814 - VDP-A6 -
Top
93 % match vs all users
23. Nordic-Celtic Gladiator York (250 AD) ..... 6.864 - 6DRIF-18 -
Top
92 % match vs all users
24. Bronze Age Amesbury (1450 BC) ..... 7.094 - I2458 -
Top
87 % match vs all users
25. Anglo Saxon (780 AD) ..... 7.242 - Hinxton HS3 -
Top
95 % match vs all users
26. Late Medieval Gotlander (1600 AD) ..... 7.253 - Unknown
Top
91 % match vs all users
27. Bronze Age Orkney Islands (1750 BC) ..... 7.281 - I2981 -
Top
86 % match vs all users
28. Viking Norse Iceland (935 AD) ..... 7.302 - SSJ-A2 -
Top
98 % match vs all users
29. Medieval Norway Sankt Nikolai B (1448 AD) ..... 7.33 - OSL9B -
Top
91 % match vs all users
30. Nordic Lombard (580 AD) ..... 7.336 - CL92 -
Top
99 % match vs all users
31. Viking Saxon Iceland (1104 AD) ..... 7.341 - TSK-A26 -
Top
93 % match vs all users
32. Middle Bronze Age England (1575 BC) ..... 7.369 - I7573 -
Top
97 % match vs all users
33. Young Merovingian Noble (605 AD) ..... 7.389 - NS6 -
Top
85 % match vs all users
34. Bell Beaker Southern France (2050 BC) ..... 7.498 - I3875 -
Top
90 % match vs all users
35. Nordic Lombard (590 AD) ..... 7.624 - SZ12 -
Top
92 % match vs all users
36. Nordic Lombard (580 AD) ..... 7.653 - CL146 -
Top
96 % match vs all users
37. Nordic Lombard (590 AD) ..... 7.677 - SZ14 -
Top
95 % match vs all users
38. Philip Calvert Coffin Maryland (1683 AD) ..... 7.69 - 2099 -
Top
98 % match vs all users
39. Food Vessel Scotland (1900 BC) ..... 7.723 - I5515 -
Top
96 % match vs all users
40. Viking Norse Iceland (935 AD) ..... 7.729 - KNS-A1 -
Top
97 % match vs all users
41. Bell Beaker Scotland (2100 BC) ..... 7.749 - I2568 -
Top
85 % match vs all users
42. Bronze Age Scotland (1450 BC) ..... 7.886 - I2653 -
Top
90 % match vs all users
43. Saxon Germanic Empuries (275 BC) ..... 7.932 - I8206 -
Top
98 % match vs all users
44. Alemannic Saxon Bavaria (485 AD) ..... 7.98 - AED_249 -
Top
96 % match vs all users
45. Medieval Denmark Revshale (1315 AD) ..... 8.031 - G154
Top
95 % match vs all users
46. Celtic Briton Gladiator York (250 AD) ..... 8.042 - 6DRIF-23 -
Top
95 % match vs all users
47. Alemannic Frankish Bavaria (465 AD) ..... 8.052 - NW_255
Top
97 % match vs all users
48. Nordic Lombard (580 AD) ..... 8.06 - CL84 -
Top
94 % match vs all users
49. Gaelic Settler Viking Iceland (935 AD) ..... 8.087 - ORE-A1 -
Top
86 % match vs all users
50. High Status Male Haunstetten (1946 BC) ..... 8.103 - POST_6 -
Top
85 % match vs all users
51. Ireland Copper Age (1880 BC) ..... 8.115 - Rathlin2 -
Top
96 % match vs all users
52. Norwegian Viking Iceland (1000 AD) ..... 8.134 - STT-A2 -
Top
90 % match vs all users
53. Nordic Lombard (590 AD) ..... 8.141 - SZ4 -
Top
96 % match vs all users
54. Viking Celtic Mix Sweden (990 AD) ..... 8.149 - 97029 -
Top
97 % match vs all users
55. Post Viking Denmark Tirup (1200 AD) ..... 8.265 - G300 -
Top
85 % match vs all users
56. Colonial American Pennsylvania (1700 AD) ..... 8.268 - Shohola -
Top
85 % match vs all users
57. Late Medieval Icelandic Murderer (1678 AD) ..... 8.333 - KOV-A2 -
Top
84 % match vs all users
58. Cambridgeshire Iron Age (205 BC) ..... 8.341 - 15594A -
Top
83 % match vs all users
59. Alemannic Bavaria (500 AD) ..... 8.342 - ALH_1 -
Top
85 % match vs all users
60. Bronze Age Scottish Islands (2350 BC) ..... 8.411 - I5367 -
Top
94 % match vs all users
61. Viking Gaelic Mix Iceland (935 AD) ..... 8.439 - GTE-A1 -
Top
83 % match vs all users
62. Saxon Settler Viking Iceland (935 AD) ..... 8.476 - GRS-A1 -
Top
93 % match vs all users
63. Iron Age Melton England (85 BC) ..... 8.506 - M1489 -
Top
98 % match vs all users
64. Vandal Chieftain (375 AD) ..... 8.557 - DA119
Top
97 % match vs all users
65. Proto-Celtic Bronze Age Wehringen (2240 BC) ..... 8.585 - WEHR_1192SkA -
Top
93 % match vs all users
66. Celtic Briton Gladiator York (250 AD) ..... 8.623 - 6DRIF-3 -
Top
89 % match vs all users
67. Early Bronze Age Hexham (1900 BC) ..... 8.634 - I2609 -
Top
96 % match vs all users
68. Early Bronze Age Northern England (1750 BC) ..... 8.688 - I6680 -
Top
85 % match vs all users
69. Viking Celtic Mix Sweden (1100 AD) ..... 8.727 - Sigtuna grt035
Top
98 % match vs all users
70. Viking Sweden (1100 AD) ..... 8.796 - stg021 - ?
Top
88 % match vs all users
71. Viking Celtic Mix Sweden (1100 AD) ..... 8.8 - 84035 -
Top
92 % match vs all users
72. Anglo Saxon Oakington (470 AD) ..... 8.802 - OakO4 -
Top
86 % match vs all users
73. Viking Norse Iceland (935 AD) ..... 8.836 - DKS-A1 -
Top
99 % match vs all users
74. Nordic Lombard (590 AD) ..... 8.875 - SZ7 -
Top
91 % match vs all users
75. Celtic Briton (70 BC) ..... 8.877 - Hinxton 1
Top
88 % match vs all users
76. Medieval Denmark (1250 AD) ..... 8.889 - G24 -
Top
82 % match vs all users
77. Nordic Lombard (590 AD) ..... 8.898 - SZ22 -
Top
96 % match vs all users
78. Medieval Netherlands Plague (1359 AD) ..... 8.946 - Ber37 - ?
Top
89 % match vs all users
79. Frankish / Hungary (590 AD) ..... 8.962 - SZ23 -
Top
67 % match vs all users
80. Viking Sweden (1100 AD) ..... 8.977 - Sigtuna stg021 -
Top
87 % match vs all users
81. Alemannic Bavaria (500 AD) ..... 9.007 - ALH_10 -
Top
94 % match vs all users
82. Medieval Netherlands Plague II (1360 AD) ..... 9.022 - Ber45 - ?
Top
71 % match vs all users
83. Bell Beaker Cambridge (2075 BC) ..... 9.036 - I3255 -
Top
88 % match vs all users
84. Gaelic Settler Viking Iceland (935 AD) ..... 9.058 - SSG-A2 -
Top
76 % match vs all users
85. Viking Denmark Revshale (1100 AD) ..... 9.065 - G43 -
Top
98 % match vs all users
86. Viking Celtic Mix Sweden (990 AD) ..... 9.093 - 97002 -
Top
99 % match vs all users
87. Medieval Denmark (1270 AD) ..... 9.133 - G149 -
Top
91 % match vs all users
88. Ireland Copper Age (1880 BC) ..... 9.21 - Rathlin2B -
Top
96 % match vs all users
89. Viking Gaelic Child Iceland (935 AD) ..... 9.338 - YGS-B2 -
Top
98 % match vs all users
90. Merovingian Noble (605 AD) ..... 9.365 - NS12b -
Top
95 % match vs all users
91. Viking Denmark Revshale (1080 AD) ..... 9.381 - Revshale16 -
Top
81 % match vs all users
92. Danish-Celtic Medieval Denmark (1270 AD) ..... 9.407 - G730 -
Top
95 % match vs all users
93. Celtic Medieval Denmark (1250 AD) ..... 9.411 - G973 -
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89 % match vs all users
94. Bronze Age Dagger Koenigsbrunn (2046 BC) ..... 9.476 - OBKR_80 -
Top
78 % match vs all users
95. Frankish / Hungary (590 AD) ..... 9.499 - SZ38 - ?
Top
66 % match vs all users
96. Viking Gaelic Mix Iceland (935 AD) ..... 9.554 - SSG-A4 -
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95 % match vs all users
97. Czech Velke Prilepy (2050 BC) ..... 9.572 - Rise577 -
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74 % match vs all users
98. Western Scythian Hungary (550 BC) ..... 9.617 - DA194 -
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94 % match vs all users
99. Bell Beaker Germany (2500 BC) ..... 9.659 - I0112 -
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85 % match vs all users
100. Merovingian Lord (605 AD) ..... 9.659 - NS9 -
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98 % match vs all users
Female Sibling Kit:
Your closest Archaeogenetic matches...(Smaller numbers mean closer matches to you)Info (https://mytrueancestry.com/c/main.py#)
1. Celtic Medieval Denmark (1250 AD) ..... 5.041 - G973 -
Top
99 % match vs all users
2. Celtic Briton Gladiator York (250 AD) ..... 5.203 - 6DRIF-3 -
Top
99 % match vs all users
3. Bell Beaker England (2150 BC) ..... 5.375 - I1767 -
Top
91 % match vs all users
4. Celtic Briton Gladiator York (250 AD) ..... 5.382 - 6DRIF-23 -
Top
99 % match vs all users
5. Early Bronze Age Northern England (1750 BC) ..... 5.39 - I6680 -
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98 % match vs all users
6. Scotland Late Bronze Age (900 BC) ..... 5.746 - I2860 -
Top
95 % match vs all users
7. Viking Celtic Boat Burial Iceland (925 AD) ..... 5.773 - VDP-A6 -
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97 % match vs all users
8. Celt Hinxton Iron Age (45 BC) ..... 6.036 - HI2 -
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93 % match vs all users
9. Celt Medieval Denmark Odense (1164 AD) ..... 6.537 - G427 -
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98 % match vs all users
10. Celtic Briton (1 AD) ..... 6.625 - Hinxton 4
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94 % match vs all users
11. Celtic Mix Lombard (580 AD) ..... 6.637 - CL83 - ?
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96 % match vs all users
12. Gaelic Settler Viking Iceland (935 AD) ..... 7.428 - SSG-A2 -
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87 % match vs all users
13. Food Vessel Scotland (1900 BC) ..... 7.511 - I5515 -
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97 % match vs all users
14. Bronze Age Celt England (1000 BC) ..... 7.621 - I5383 -
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89 % match vs all users
15. Bell Beaker England (2100 BC) ..... 7.789 - I2452 -
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86 % match vs all users
16. St Marys Coffin Maryland (1683 AD) ..... 7.885 - I2097 -
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89 % match vs all users
17. Early Bronze Age Thames (1800 BC) ..... 8.127 - I5377 -
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75 % match vs all users
18. Viking Gaelic Mix Iceland (935 AD) ..... 8.159 - GTE-A1 -
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85 % match vs all users
19. Gaelic Settler Viking Iceland (935 AD) ..... 8.186 - ORE-A1 -
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85 % match vs all users
20. Young Merovingian Noble (605 AD) ..... 8.279 - NS6 -
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78 % match vs all users
21. Medieval Denmark (1270 AD) ..... 8.377 - G149 -
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95 % match vs all users
22. Bronze Age Amesbury (1450 BC) ..... 8.413 - I2458 -
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77 % match vs all users
23. Nordic Lombard (590 AD) ..... 8.439 - SZ15 -
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74 % match vs all users
24. Bronze Age Orkney Islands (1750 BC) ..... 8.465 - I2981 -
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77 % match vs all users
25. Viking Denmark Revshale (1080 AD) ..... 8.702 - Revshale16 -
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86 % match vs all users
26. Nordic Lombard (590 AD) ..... 8.749 - SZ12 -
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83 % match vs all users
27. Scotland Late Bronze Age (900 BC) ..... 8.974 - I2859 -
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79 % match vs all users
28. Bell Beaker Cambridge (2075 BC) ..... 9.048 - I3255 -
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88 % match vs all users
29. Frankish / Hungary (590 AD) ..... 9.124 - SZ38 - ?
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70 % match vs all users
30. Nordic Lombard (590 AD) ..... 9.198 - SZ14 -
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85 % match vs all users
31. Alemannic Frankish Bavaria (465 AD) ..... 9.218 - NW_255
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93 % match vs all users
32. Celtic Gladiator York (250 AD) ..... 9.36 - 6DRIF-21 -
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82 % match vs all users
33. Saxon Hinxton (720 AD) ..... 9.39 - HinxtonO1 -
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59 % match vs all users
34. Danish-Celtic Medieval Denmark (1270 AD) ..... 9.511 - G730 -
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94 % match vs all users
35. Celto-Germanic Medieval Denmark (1270 AD) ..... 9.551 - G21 -
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69 % match vs all users
36. Celtic-Saxon Hinxton Iron Age (67 BC) ..... 9.597 - HI1 -
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61 % match vs all users
37. Post Viking Denmark Odense (1250 AD) ..... 9.65 - G48 -
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62 % match vs all users
38. Bronze Age Golden Boy Amesbury (1515 BC) ..... 9.674 - I2639 -
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97 % match vs all users
39. Celtic Medieval Denmark (1250 AD) ..... 9.835 - G658 -
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87 % match vs all users
40. Bell Beaker Amesbury (2250 BC) ..... 9.869 - I2418 -
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92 % match vs all users
41. Middle Bronze Age England (1575 BC) ..... 9.885 - I7573 -
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84 % match vs all users
42. Post Viking Denmark Tirup (1200 AD) ..... 9.928 - G300 -
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70 % match vs all users
43. Nordic-Celtic Gladiator York (250 AD) ..... 10.05 - 6DRIF-18 -
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75 % match vs all users
44. Viking Celtic Mix Sweden (1100 AD) ..... 10.05 - 84035 -
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85 % match vs all users
45. Nordic Lombard (590 AD) ..... 10.07 - SZ22 -
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91 % match vs all users
46. Bronze Age Scottish Islands (2350 BC) ..... 10.09 - I5367 -
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84 % match vs all users
47. Nordic Lombard (590 AD) ..... 10.09 - SZ4 -
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88 % match vs all users
48. Bronze Age Scotland (1450 BC) ..... 10.1 - I2573 -
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80 % match vs all users
49. Medieval Netherlands Plague II (1360 AD) ..... 10.17 - Ber45 - ?
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61 % match vs all users
50. Czech Velke Prilepy (2050 BC) ..... 10.18 - Rise577 -
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70 % match vs all users
51. High Status Male Haunstetten (1946 BC) ..... 10.2 - POST_6 -
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68 % match vs all users
52. Bronze Age Scotland (1450 BC) ..... 10.21 - I2653 -
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75 % match vs all users
53. Medieval Netherlands Plague (1359 AD) ..... 10.21 - Ber37 - ?
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80 % match vs all users
54. Late Medieval Gotlander (1600 AD) ..... 10.23 - Unknown
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65 % match vs all users
55. Bronze Age Hebrides Islands (1350 BC) ..... 10.35 - I2655 -
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88 % match vs all users
56. Celtic-Saxon Hinxton (700 AD) ..... 10.41 - HinxtonO2 -
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83 % match vs all users
57. Early Bronze Age Hexham (1900 BC) ..... 10.46 - I2609 -
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88 % match vs all users
58. Celtic Briton (70 BC) ..... 10.48 - Hinxton 1
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78 % match vs all users
59. Philip Calvert Coffin Maryland (1683 AD) ..... 10.5 - 2099 -
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86 % match vs all users
60. Celtic Briton Gladiator York (250 AD) ..... 10.5 - 3DRIF-16 -
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69 % match vs all users
61. Late Iron Age Linton Cambridgeshire (205 BC) ..... 10.51 - Linton -
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60 % match vs all users
62. Alemannic Bavaria (500 AD) ..... 10.56 - ALH_10 -
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84 % match vs all users
63. Viking Celtic Mix Sweden (990 AD) ..... 10.59 - 97029 -
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86 % match vs all users
64. Viking Denmark Odense (1058 AD) ..... 10.64 - G507 -
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83 % match vs all users
65. Medieval Upper Bavaria Germany (1068 AD) ..... 10.71 - Petersberg -
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71 % match vs all users
66. Celtic Mix Medieval Denmark (1250 AD) ..... 10.74 - G1044 -
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98 % match vs all users
67. Germanic Lombard (590 AD) ..... 10.75 - SZ11 -
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79 % match vs all users
68. North Alpine Bronze Age (1812 BC) ..... 10.78 - AITI_50 -
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75 % match vs all users
69. Viking Celtic Mix Sweden (990 AD) ..... 10.81 - 97002 -
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97 % match vs all users
70. Bell Beaker Augsburg (2215 BC) ..... 10.82 - HUGO_168 -
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86 % match vs all users
71. Viking Gaelic Boat Burial Iceland (925 AD) ..... 10.83 - VDP-A7 -
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87 % match vs all users
72. Bell Beaker Ely England (2165 BC) ..... 10.9 - I2453 -
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94 % match vs all users
73. Proto-Celtic Bronze Age Wehringen (2240 BC) ..... 10.98 - WEHR_1192SkA -
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76 % match vs all users
74. Bronze Age Netherlands (1775 BC) ..... 11.03 - I4070 -
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94 % match vs all users
75. Ireland Copper Age (1880 BC) ..... 11.07 - Rathlin2 -
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80 % match vs all users
76. Bronze Age Wales (1650 BC) ..... 11.08 - I1775 -
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91 % match vs all users
77. Bell Beaker Amesbury (2150 BC) ..... 11.1 - I5512 -
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74 % match vs all users
78. Nordic Lombard (580 AD) ..... 11.15 - CL146 -
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80 % match vs all users
79. Frankish / Hungary (590 AD) ..... 11.16 - SZ23 -
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52 % match vs all users
80. Lugii Tribe Iron Age Maslomecz (300 AD) ..... 11.26 - PCA100_Mas13 - ?
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69 % match vs all users
81. Anglo Saxon (780 AD) ..... 11.44 - Hinxton HS3 -
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62 % match vs all users
82. Battle Axe Sweden (1945 BC) ..... 11.46 - Rise97 -
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90 % match vs all users
83. Bronze Age Scotland (1450 BC) ..... 11.46 - I2654 -
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88 % match vs all users
84. Medieval Denmark Revshale (1315 AD) ..... 11.47 - G154
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80 % match vs all users
85. Viking Gaelic Mix Iceland (935 AD) ..... 11.47 - SSG-A4 -
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86 % match vs all users
86. Visigoth Germanic Girona (550 AD) ..... 11.49 - I12162 -
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54 % match vs all users
87. Bell Beaker Amesbury (2250 BC) ..... 11.52 - I2566 -
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80 % match vs all users
88. Celtic-Alemannic Tribe (505 AD) ..... 11.56 - Alh3a -
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93 % match vs all users
89. Ireland Copper Age (1950 BC) ..... 11.56 - Rathlin1 -
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87 % match vs all users
90. Bell Beaker Poland (2400 BC) ..... 11.56 - I4353
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94 % match vs all users
91. Alemannic Saxon Bavaria (485 AD) ..... 11.62 - AED_249 -
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71 % match vs all users
92. Merovingian Noble (605 AD) ..... 11.64 - NS1 -
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67 % match vs all users
93. Anglo Saxon Oakington (470 AD) ..... 11.67 - OakO4 -
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63 % match vs all users
94. North Sea Medieval Denmark (1270 AD) ..... 11.71 - G314 -
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69 % match vs all users
95. Bell Beaker England (2150 BC) ..... 11.74 - I5382 -
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76 % match vs all users
96. Saxon Settler Viking Iceland (935 AD) ..... 11.75 - GRS-A1 -
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69 % match vs all users
97. Cambridgeshire Iron Age (205 BC) ..... 11.78 - 15594A -
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56 % match vs all users
98. Celtic-Alemannic Tribe (420 AD) ..... 11.79 - AED432b - ?
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94 % match vs all users
99. Unetice Bohemia (1800 BC) ..... 11.8 - Rise150 -
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83 % match vs all users
100. Late Medieval Icelandic Murderer (1678 AD) ..... 11.82 - KOV-A2 -
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56 % match vs all users
after many months a new bronze-age marker for myself Rise480
https://i.postimg.cc/vBTwjMRz/new-feb20.png
part of this paper
https://www.researchgate.net/publication/278327861_Population_genomics_of_Bronze_Age_Eurasi a (https://postimages.org/)
My sister new ancient match ..........................new one is the bottm one
Proto Thracian/Illyrian Vucedol (2775 BC) ..... 12.91 - I3499 -
Bell Beaker Haunstetten Germany (2385 BC) ..... 16.49 - UNTA58_68Sk1 -
.................................................. ..........................
her oldest outlier is
168. Corded Ware Estonia (2460 BC) ..... 22.37 - Rise595 -
Top 98 % match vs all users
I think I found Spartacus Mother. LOL :grin:
Maybe, I3313 Illyrian / Dalmatian 1200 BC is the Matriarch of some of the Thracians.
https://i.imgur.com/madvXz6.jpg
R1 (combined) Deep Dive:
https://i.imgur.com/B65zMIx.jpg
https://i.imgur.com/xzRL73R.gif
R1 Top 40 Map:
https://i.imgur.com/XJukBAd.jpg
R1 Timeline:
https://i.imgur.com/ySzd515.jpg
R1 (combined) Deep Dive:
https://i.imgur.com/B65zMIx.jpg
https://i.imgur.com/xzRL73R.gif
R1 Top 40 Map:
https://i.imgur.com/XJukBAd.jpg
R1 Timeline:
https://i.imgur.com/ySzd515.jpg
from the paper where the R1 sample came from
https://i.postimg.cc/hjftrRMF/r1-sample.png (https://postimages.org/)
clearly what most are saying in different threads R1 was associated also with Liburnians from Nin ...............where was she born ?
I am worried they have put a lot of samples of Ampurias Greek, Roman, Nazari period, post-Reconquest and Carolingiansand I had a tremendous anxiety attack. Obviously I had a lot of results. These people do not realize that there are countries with a lot of history and this suddenly cannot be done. When it is recovered I will start publishing, I'm younger today, thanks.
... more of my Chrome :)
https://i.imgur.com/bTJqUPG.jpg
https://i.imgur.com/c8Oq99p.jpg
https://i.imgur.com/DCo6P5J.jpg
https://i.imgur.com/VEIYJk4.jpg
... from above.
All connected at the same position:
R850 and R437 (Latins), CL36 (Italian ... ), CL25 (Calabrese), ;) R436 (Paisà) Imperial Romans, Medieval and Renaissance Italians, a Cretan, a Minoan and a Mycenaean.
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