PDA

View Full Version : Mytrueancestry.com



Pages : 1 [2] 3 4 5 6 7 8 9 10 11 12 13 14 15

Angela
22-04-19, 15:20
It seems that, in my case, practically all the samples of the ancestral populations are concentrated in the center-east of Europe. Nothing above latitude "Velké Přílepy (Czechia) - 50 ° 9'37" N", nothing below latitude “Dubrovnik (Croatia) - 42 ° 38'25" N" and nothing east of longitude "Tiraspol (Moldova) - 29 ° 38'36”E “.

https://i.imgur.com/ErzH2vx.jpg

https://i.imgur.com/HTrQ5a2.jpg
This fact causes me surprise because it seems to be in line with this:
MDLP K23b Oracle results:

MDLP K23b Oracle Rev 2014 Sep 1

https://i.imgur.com/Xsi0ade.png

The map is a little bit deceiving, Duarte. Those people to whom you're related in the Langobard settlements are "genetically" much further "south" than they are geographically.

The circles are just where they were found.

Duarte
22-04-19, 16:40
The map is a little bit deceiving, Duarte. Those people to whom you're related in the Langobard settlements are "genetically" much further "south" than they are geographically.

The circles are just where they were found.

Thank you, Angela :)
I was so curious that I mounted this worksheet by comparing my data with the data of some of the populations that are listed in the GEDmatch MDLP K23b worksheet:




MDLP K23b Admixture Proportions - Spreadsheet


Population
Me (Duarte)
Portuguese
Spanish_Galicia_IBS
Spanish_Murcia_IBS
Spanish_Baleares_IBS
Spaniard
French


Amerindian
1.19
0.18
0.21
0.32
0.15
0.09
0.21


Ancestral_Altaic
1.73
1.69
2.37
1.82
2.74
1.96
3.94


South_Central_Asian
2.63
3.68
3.40
3.67
3.24
3.73
4.53


Arctic
0.00
0.10
0.18
0.10
0.09
0.15
0.06


South_Indian
0.68
0.54
0.40
0.69
0.39
0.39
0.33


Australoid
1.08
0.12
0.17
0.19
0.12
0.13
0.19


Austronesian
0.00
0.06
0.18
0.25
0.17
0.06
0.10


Caucasian
20.38
19.20
16.89
17.55
23.03
19.25
20.16


Archaic_Human
0.00
0.16
0.14
0.08
0.04
0.08
0.03


East_African
0.68
0.70
0.43
0.75
0.47
0.32
0.11


East_Siberian
0.00
0.18
0.15
0.12
0.14
0.13
0.06


European_Early_Farmers
35.01
38.32
43.05
44.44
40.95
42.93
36.44


Khoisan
0.00
0.17
0.19
0.14
0.13
0.19
0.06


Melano_Polynesian
0.00
0.11
0.11
0.14
0.51
0.15
0.12


Archaic_African
1.33
0.58
0.41
0.41
0.15
0.20
0.03


Near_East
2.94
3.49
4.01
4.63
4.27
3.61
1.71


North_African
5.78
9.11
5.82
6.43
3.58
4.55
1.70


Paleo_Siberian
0.00
0.18
0.12
0.15
0.15
0.14
0.07


African_Pygmy
1.37
0.11
0.17
0.23
0.12
0.15
0.07


South_East_Asian
0.16
0.07
0.08
0.09
0.10
0.07
0.09


Subsaharian
3.84
0.23
0.58
0.34
0.15
0.14
0.03


Tungus-Altaic
0.00
0.05
0.12
0.14
0.12
0.07
0.07


European_Hunters_Gatherers
21.17
20.98
20.82
17.32
19.19
21.51
29.90

Carlos
22-04-19, 20:52
Ahí va el mío.

https://2.bp.blogspot.com/-E6c7UAEoQ08/XLvkQnjXTRI/AAAAAAAAAgg/BUL3qQjAi8MuyUonmwAJuUiiENGH_XxZwCLcBGAs/s1600/mytrueancestry.com_c_main.jpg

https://1.bp.blogspot.com/-6la_e2eVgrs/XL4Fx3NR4AI/AAAAAAAAAh0/2UuVby4AkfoMTEsu1aKT-yvVFZKJJT07QCLcBGAs/s1600/mytrueancestry.com_c_main3.jpg

https://2.bp.blogspot.com/-rxuM0FgEE4M/XL4GCmiDLeI/AAAAAAAAAh4/sUvNr5eKXEQYQ1gcjZPY-DgTybVNTnSBwCLcBGAs/s1600/mytrueancestry.com_c_main.py%2B%252815%2529.png

https://2.bp.blogspot.com/-QbxD7BypVRk/XL4FQUWyQUI/AAAAAAAAAhs/8HuGDk_xBBo9LA1MfTV21Bkd1zl5mj9fACLcBGAs/s1600/mytrueancestry.com_c_mainWHITE.jpg

https://1.bp.blogspot.com/-eZuX6X1U93Q/XLx7n9On19I/AAAAAAAAAhQ/Zy6zxcS11PsH4CikYnN7wc3k3KZNfUw7QCLcBGAs/s1600/mytrueancestry.com_c_mainpoblacionesactuales.jpg
By dna Y get this result. By mitochondrial dna do not get results in this category.
https://2.bp.blogspot.com/-18BdFgrNEIc/XL4d8Op7CvI/AAAAAAAAAiI/XRgE7NmKvPw6M0xTjVGm8AbX6O7m3oyoQCLcBGAs/s1600/mytrueancestry.com_c_mainadnY.jpg

Johane Derite
22-04-19, 20:58
This app is demonstrating however that we are in dire need of samples from south illyria, inland illyria, dardania, epirotes, ancient macedonians, etc. We only have myceneans, and coastal illyrians so far. Also, do we have any etruscan samples yet?

Duarte
22-04-19, 22:12
Ahí va el mío.

https://2.bp.blogspot.com/-E6c7UAEoQ08/XLvkQnjXTRI/AAAAAAAAAgg/BUL3qQjAi8MuyUonmwAJuUiiENGH_XxZwCLcBGAs/s1600/mytrueancestry.com_c_main.jpg

https://1.bp.blogspot.com/-6la_e2eVgrs/XL4Fx3NR4AI/AAAAAAAAAh0/2UuVby4AkfoMTEsu1aKT-yvVFZKJJT07QCLcBGAs/s1600/mytrueancestry.com_c_main3.jpg

https://2.bp.blogspot.com/-rxuM0FgEE4M/XL4GCmiDLeI/AAAAAAAAAh4/sUvNr5eKXEQYQ1gcjZPY-DgTybVNTnSBwCLcBGAs/s1600/mytrueancestry.com_c_main.py%2B%252815%2529.png

https://2.bp.blogspot.com/-QbxD7BypVRk/XL4FQUWyQUI/AAAAAAAAAhs/8HuGDk_xBBo9LA1MfTV21Bkd1zl5mj9fACLcBGAs/s1600/mytrueancestry.com_c_mainWHITE.jpg

https://1.bp.blogspot.com/-eZuX6X1U93Q/XLx7n9On19I/AAAAAAAAAhQ/Zy6zxcS11PsH4CikYnN7wc3k3KZNfUw7QCLcBGAs/s1600/mytrueancestry.com_c_mainpoblacionesactuales.jpg
By dna Y get this result. By mitochondrial dna do not get results in this category.
https://2.bp.blogspot.com/-18BdFgrNEIc/XL4d8Op7CvI/AAAAAAAAAiI/XRgE7NmKvPw6M0xTjVGm8AbX6O7m3oyoQCLcBGAs/s1600/mytrueancestry.com_c_mainadnY.jpg

Hi Carlos,
Map very Similar to mine, except the blue point in northeast of England that you have and I do not have :)

voloh
22-04-19, 22:32
mine, can't post pictures yet:

Scythian + Gallo-Roman (9.097)
Scythian + Gaul (12.64)
Gaul (16.02)
Scythian (16.11)
Gallo-Roman (17.44)

1. Medieval Tyrolian (590 AD) (14.54)
2. [Hidden] - upgrade your account (15.52)
3. Cisalpine Gaul (590 AD) (16.02)
4. [Hidden] - upgrade your account (16.11)
5. Gallo-Roman (590 AD) (17.44)
6. [Hidden] - upgrade your account (17.72)
7. Central Roman (590 AD) (18.05)
8. [Hidden] - upgrade your account (18.08)
9. Illyrian / Dalmatia (1600 BC) (18.45)
10. [Hidden] - upgrade your account (18.45)
11. Medieval Tyrolian (670 AD) (18.69)
12. [Hidden] - upgrade your account (18.88)
13. Iberian / Piedmont (670 AD) (19.1)
14. [Hidden] - upgrade your account (19.57)
15. Medieval Piedmont (670 AD) (19.76)
16. [Hidden] - upgrade your account (19.78)
17. Scythian Moldova (300 BC) (19.86)
18. [Hidden] - upgrade your account (20.09)
19. Central Roman (670 AD) (20.36)
20. [Hidden] - upgrade your account (20.42)

1. Bosnian (7.196)
2. Serbian (9.557)
3. Macedonian (10.13)
4. Romanian (10.47)

Carlos
22-04-19, 22:33
^^
Duarte
Sí, lo había visto. Qué alegría, estamos muy cerca, aunque el Océano Atlántico ha separado nuestros destinos para siempre, el nuestro es imposible.

https://4.bp.blogspot.com/-b3EqrnHWiCc/XL4iXWflOHI/AAAAAAAAAiU/QYTYmApANLkb4VCoKiYt3RFjeIlzjmfCwCLcBGAs/s1600/mytrueancestry.com_c_mainautosomal.py%2B%25286%252 9.png

Duarte
22-04-19, 22:43
This app is demonstrating however that we are in dire need of samples from south illyria, inland illyria, dardania, epirotes, ancient macedonians, etc. We only have myceneans, and coastal illyrians so far. Also, do we have any etruscan samples yet?

Hi Johane,
I do not know how to respond your question about the Etruscan samples because MyTrueAncestry only relate the samples that are related to you (match with you). For example, Carlos exhibited the 60 samples that are relate to him.
The ones that are related to me are the following:
https://i.imgur.com/f9MUzSe.png
https://i.imgur.com/ijW6bgg.png
https://i.imgur.com/bzkdzLY.png

In this topic you will may see that there are tests of Britons and descendants of Britons and you will can see that the ancestral samples displayed to them are others.

Big Hug :)

HYGILI4K
22-04-19, 23:03
I got the Footman features; now my 20 first Archeological matches are revealed:

10952

Does it make sense? Is it possible that my data was corrupted on upload? Where can I find more info on this "Scythian Moldova (270 BC)" sample?

Duarte
22-04-19, 23:35
^^
Duarte
Yes, I had seen it. What a joy, we are very close, although the Atlantic Ocean has separated our destinies forever, ours is impossible.

https://4.bp.blogspot.com/-b3EqrnHWiCc/XL4iXWflOHI/AAAAAAAAAiU/QYTYmApANLkb4VCoKiYt3RFjeIlzjmfCwCLcBGAs/s1600/mytrueancestry.com_c_mainautosomal.py%2B%25286%252 9.png

I think this program does everything for me. And since I do not obtain data from all of Spain with my mitochondrial DNA, I have tried even in the south-west of France and there is no data. Later I will try to see what happens.


Here I have got closer to 3 with Valencia, notice that years ago I was told by an expert in genealogy that my paternal surname being from Malaga I saw that it could come from a Valencian settler and that the surname had become Castilianized, a possibility.

I did not know this functionality Carlos. Very cool :)


mine, can't post pictures yet:

Scythian + Gallo-Roman (9.097)
Scythian + Gaul (12.64)
Gaul (16.02)
Scythian (16.11)
Gallo-Roman (17.44)

1. Medieval Tyrolian (590 AD) (14.54)
2. [Hidden] - upgrade your account (15.52)
3. Cisalpine Gaul (590 AD) (16.02)
4. [Hidden] - upgrade your account (16.11)
5. Gallo-Roman (590 AD) (17.44)
6. [Hidden] - upgrade your account (17.72)
7. Central Roman (590 AD) (18.05)
8. [Hidden] - upgrade your account (18.08)
9. Illyrian / Dalmatia (1600 BC) (18.45)
10. [Hidden] - upgrade your account (18.45)
11. Medieval Tyrolian (670 AD) (18.69)
12. [Hidden] - upgrade your account (18.88)
13. Iberian / Piedmont (670 AD) (19.1)
14. [Hidden] - upgrade your account (19.57)
15. Medieval Piedmont (670 AD) (19.76)
16. [Hidden] - upgrade your account (19.78)
17. Scythian Moldova (300 BC) (19.86)
18. [Hidden] - upgrade your account (20.09)
19. Central Roman (670 AD) (20.36)
20. [Hidden] - upgrade your account (20.42)

1. Bosnian (7.196)
2. Serbian (9.557)
3. Macedonian (10.13)
4. Romanian (10.47)

Cool results voloh :)

Duarte
23-04-19, 00:00
I got the Footman features; now my 20 first Archeological matches are revealed:

10952

Does it make sense? Is it possible that my data was corrupted on upload? Where can I find more info on this "Scythian Moldova (270 BC)" sample?

Yes. This make sense for Iberians.
See below.
My data:
https://i.imgur.com/i8nrvj6.png
https://i.imgur.com/fxqr6JI.png
https://i.imgur.com/LZm2CFJ.png
https://i.imgur.com/zNodyGd.png
https://i.imgur.com/J2UaVAC.png
https://i.imgur.com/f9MUzSe.png

Duarte
23-04-19, 00:19
I got the Footman features; now my 20 first Archeological matches are revealed:

10952

Does it make sense? Is it possible that my data was corrupted on upload? Where can I find more info on this "Scythian Moldova (270 BC)" sample?

Mine again:
Your closest Ancient populations...
https://mytrueancestry.com/img/RomanNorth.jpgGallo-Roman



Gallo-RomansIllyriansScythians


Gallo-Roman (6.896)
Gallo-Roman + Illyrian (7.4)
Scythian + Gallo-Roman (7.682)
Illyrian (11.54)
Scythian (12.23)

5. Scythian Moldova (270 BC) (12.23) - scy192 (http://advances.sciencemag.org/content/4/10/eaat4457):

https://advances.sciencemag.org/content/4/10/eaat4457

HYGILI4K
23-04-19, 00:38
@Duarte

Thank you very much, my friend. I think will install Total War Rome 2 to play as scythians :laughing:

Duarte
23-04-19, 04:34
This app is demonstrating however that we are in dire need of samples from south illyria, inland illyria, dardania, epirotes, ancient macedonians, etc. We only have myceneans, and coastal illyrians so far. Also, do we have any etruscan samples yet?

Dear Johane.
In the group of modern populations of MyTrueAncestry Albanians are not listed, but the Kosovans are listed. In this case they offer the following correlations with modern and ancient populations:

https://i.imgur.com/H4SpYbU.png
https://i.imgur.com/9a6JYSC.png
https://i.imgur.com/FmgCesB.png
https://i.imgur.com/gfQJxng.png

O Neill
23-04-19, 10:53
Are you European?

Distances like that as your closest is strange. Perhaps you should ask them to re-run it.

Thanks i think you could be right.
ill try again when im better had a spell at the hospital and been dosed up with meds.

Ive a strange ancestry anyway With a Ethiopian Great grandad (Mothers grandfather) who was of royal birth.
I get around 11% split between East african and near eastern.

My X2 pat grandfather was born in ireland moves to england 1880s of which ancestry gives me 0% Irish, 23andme mixes in so you cant see it.
So im 90% English of irish decent and 10% East African of Near Eastern decent. I think.

Ive tested myself on ftdna/ ancestry/ 23andme also my mum on ancestry and her brother on 23andme/ancestry.

I may have uploaded one of there kits by mistake but even so they would still be strange results ?

Fatherland
24-04-19, 03:04
It looks like Croatians and Bosnians still sit on a more or less perfect cline between ancient West Balkanic samples and Ukrainians/Russians. I think it wouldn't be far fetched to say that BA West Balkanic populations could have contributed some ancestry to those groups.

https://i.imgur.com/l3vQ8Wu.png

It's the Serbs and the Albanians who can't be derived from that two-way mixture, as both have significantly inflated West Asian (CHG) ancestry.
Albanians are in a perfect cline between Illyrians and Ancient Grecian groups, many of us closer to Illyrian. Makes perfect sense considering our geographic position between this sample and Greece.

Now you should stop being a retard when it comes to Albanians and git gud at deciphering autosomal maps.

Also, we carry the patrilineal legacy of the Illyrian groups, that alone is enough.

You ignorant rat, spreading nonsense, I've seen Gheg Albanians plot near North Italy, that's right next to the Illyrian sample, while hailing far south of that sample GEOGRAPHICALLY.

Take your autistic drivel elsewhere.

markod
24-04-19, 15:51
Albanians are in a perfect cline between Illyrians and Ancient Grecian groups, many of us closer to Illyrian. Makes perfect sense considering our geographic position between this sample and Greece.

Now you should stop being a retard when it comes to Albanians and git gud at deciphering autosomal maps.

Also, we carry the patrilineal legacy of the Illyrian groups, that alone is enough.

You ignorant rat, spreading nonsense, I've seen Gheg Albanians plot near North Italy, that's right next to the Illyrian sample, while hailing far south of that sample GEOGRAPHICALLY.

Take your autistic drivel elsewhere.

2 Bronze Age Dalmatians and 1 Bronze Age Montenegrin were Iberian-like.

1 Bronze Age Pannonian was French-like.

Care to explain where the CHG-shift affecting Serbs, Albanians, Vlachs etc. comes from?

Johane Derite
24-04-19, 16:06
2 Bronze Age Dalmatians and 1 Bronze Age Montenegrin were Iberian-like.

1 Bronze Age Pannonian was French-like.

Care to explain where the CHG-shift affecting Serbs, Albanians, Vlachs etc. comes from?

Slow down, you are basing this certainty on an amatuer run done by tomenable with private commercially tested gedkit samples being compared to results that were done by research labs. Technically its not a fair test since the variables aren't controlled.

Who knows what type of artifacts and skews the data can produce, since its likely different chips entirely were used for that plot (which is quite old, and is missing albanians entirely as a reference) and
these more recent tests.

Has he run a mycenean on this plot? where do they show up? Are they also iberian like

Johane Derite
24-04-19, 16:21
Care to explain where the CHG-shift affecting Serbs, Albanians, Vlachs etc. comes from?

It seems to affect Abruzzo, Tuscans, also. So i want to hear this, since you keep alluding to it, it's obvious you have a theory

Dibran
24-04-19, 16:56
People take this calculator way too literal. Also seem to forget the introduced admixtures pulled Albanians eastward from antiquitous samples. Regardless Albanians predominantly descend from Illyrian and possibly Thracian YDNA paternally. Whilst the base ancestry can be filtered out, the core lineages are all there. Its sensational to assume North Italians and Iberians are ACTUALLY related to Illyrians in any meaningful way or even more than Albanians for that matter.

Theres also the mention of no southern illyrian samples or epirotes which will probably be even closer to Albanians. Rather they have similar admixture levels and probably weren't that ethnically diverse back then. Also it starts to make sense of some of my own South-West Iberian/Sardinian like shift. Which makes more sense to be preserved admixture rather than actual Sardinian or Iberian like ancestry. Over 2 thirds of Albanian YDNA is Paleo-Balkan. Doesn't matter how autosomal shifted. No one is saying Illyrians are Albanians. It cannot be denied that Albanians are from Illyrians.

For example, my cousin is fully Albanian and his wife is Norwegian and partly Swedish. Their son comes out Macedonian and Montenegrin like on calculators. The northern and southern admixtures were more in level with these aforementioned populations. Maybe people need take that into account not to assume similar admixture level is due to actual ancestry from that population, or just having similar admixture. Isn't IBD sharing apparently more conclusive?

Angela
24-04-19, 17:19
@O'Neill,
They would be strange results for any European, imo.

General Comment:

The "Illyrian" samples used in this calculator are clearly representative of admixed Balkan MLN farmers and groups from the steppe. They are indeed less CHG than some Italians and some people in the Balkans.

It doesn't mean they didn't form part of the ethnogenesis of some of those groups.

Some groups, however, are indeed more closely related to them than others. That doesn't mean that "Illyrians", for example, went to Spain. In the case of Italians, people like them may have moved into Northeastern Italy and beyond.

As to CHG/Iran Neo like ancestry, I used to needle some vehement supporters of the Tuscans are descendants of people from Asia Minor who sailed to Italy in the first millennium BC to explain why then people like Albanians and other Balkanites also have high levels.

I think the answer is probably, as we've speculated before, that there was a later movement from the direction of Asia Minor/the Aegean, into southeast, southcentral, and even, to some extent, southwestern Europe.

I fail to understand why it's a problem.

markod
24-04-19, 17:29
Slow down, you are basing this certainty on an amatuer run done by tomenable with private commercially tested gedkit samples being compared to results that were done by research labs. Technically its not a fair test since the variables aren't controlled.

Who knows what type of artifacts and skews the data can produce, since its likely different chips entirely were used for that plot (which is quite old, and is missing albanians entirely as a reference) and
these more recent tests.

Has he run a mycenean on this plot? where do they show up? Are they also iberian like

All analyses I've seen are pretty much in agreement (I think Eurogenes has done all of them), as are the distances to modern populations.

As for the origin of the CHG shift, peninsular Italy was likely settled by Bronze Age Aegeans, perhaps directly from Anatolia. In the Western Balkans I'd think that an Eastern Balkanic origin makes more sense, perhaps from the Transylvanian highlands where the various steppe tribes didn't settle.

Angela
24-04-19, 17:39
Highly speculative and highly unlikely.

Johane Derite
24-04-19, 17:47
All analyses I've seen are pretty much in agreement (I think Eurogenes has done all of them), as are the distances to modern populations.

As for the origin of the CHG shift, peninsular Italy was likely settled by Bronze Age Aegeans, perhaps directly from Anatolia. In the Western Balkans I'd think that an Eastern Balkanic origin makes more sense, perhaps from the Transylvanian highlands where the various steppe tribes didn't settle.

Ah yes, Eurogenes, the most honest reliable guy on the web.

The guy recently wrote a post on J2b and literally went out of his way to find a never before used "L282" mutation to define J2b. The only purpose being obviously
so that people confuse it with J2b2-L283.

He seems to be in agreement with you:

"So how did Y-haplogroup J2b get to Europe? My view for now is that it mostly arrived with a few sailors from the Near East during the Early to Middle Bronze Age"

To build this argument about J2b2-L283 he also just says "J2b" and uses J2b1-M205, which has an entirely different history, and split from L283 16,000 years ago.

Actually getting to understand the past doesn't seem to be the focus, but rather muddying the waters, and intentionally confusing people.

Also this idea about Transylvanian CHG is just not feasible.

http://eurogenes.blogspot.com/2019/03/how-did-y-haplogroup-j2b-get-to-europe.html

Carlos
24-04-19, 17:48
https://es.wikipedia.org/wiki/C%C3%A1ntabros
https://en.wikipedia.org/wiki/Cantabri


(https://es.wikipedia.org/wiki/C%C3%A1ntabros)Origin Spanish wikipedia


Estela Cantabrian Barros (Cantabria). Made of sandstone and with a base pier, its dimensions are 1.70 m in diameter and 0.32 m in thickness.
The study of the archaeological sites in the area where the cantabros are currently believed to be located reveals, on a Neolithic substratum, objects of a characteristic invoice of populations of the Danube region and the funerary culture of Campos de Urnas that could have arrived during the Bronze to settle later, during the second millennium a. C., around the high Ebro.


Both the gentilicios used by some tribes or Cantabrian clans - in particular the one of the orgenomescos / argentomescios? finally displaced to the more montane interior-, as well as equine cults, are similar to those of the Sarmatians and Moesios, Mekhi or Mycenaeans. The latter, of Indo-European language also, came from the regions north of the Danube and migrated to very remote places retaining their original names or variants, according to James P. Mallory. Although the foregoing does not allow to determine with certainty the original origin of these groups, genetic studies conducted in the current population of the region, detect in male genes a percentage mostly affiliated with haplogroup R-SRY2627 of Nordic origin, and to a lesser extent Haplogroup E E-M81 (4) from North Africa. The simultaneous presence of these haplotypes of African origin among the male population is considered original, and the great variety of origin of the mitochondrial haplogroups, among which those usually found in North Africa, suggest several possible successive influxes of Celtic populations close to Illyrians that could come from the Aegean region, Macedonia, Bulgaria, Albania and ancient Thrace where such genes are found today as well. Alternatively, some of these genetic subgroups of such disparate provenances may have reached Cantabria later during the Carthaginian or Roman domination of the Iberian Peninsula, even during the brief Muslim domination of the southern part of the region.


The dominant clan in the most fertile area and access to the high passes, the Plentusians / Plentuish ?, is related to the later culture of La Tène, properly Celtic and coming from the Lower Rhine.4 It could be of the first tribes evicted by Germanic tribes before 300 a. C.5 These are, perhaps, similar in etymology and identity to the Celtiberian Pelendons between the Ebro and Duero Rivers. [Citation needed]


Concanos, coniscos, salaens and other peoples may have been relegated to less favorable grazing areas. Within the tribal community they seem to represent Celtic Hallstatt groups or Paleolithic matrilineal genders related to the Basques, as Joaquín González Echegaray points out.

English wikipedia

OriginsThe ancestors of the Cantabri were thought by the Romans to have migrated to the Iberian Peninsula (https://en.wikipedia.org/wiki/Iberian_Peninsula)around the 4th Century BC, and were said by them to be more mixed than most peninsular Celtic peoples, their eleven or so tribes, assessed by Roman writers according to their names, were supposed to have included Gallic (https://en.wikipedia.org/wiki/Gauls), Celtiberian (https://en.wikipedia.org/wiki/Celtiberians), Indo-Aryan (https://en.wikipedia.org/wiki/Indo-Aryan_peoples), Aquitanian (https://en.wikipedia.org/wiki/Aquitani), and Ligurian (https://en.wikipedia.org/wiki/Liguri) origins.[citation needed (https://en.wikipedia.org/wiki/Wikipedia:Citation_needed)]
A detailed analysis of place-names in ancient Cantabria shows a strong Celtic element along with an almost equally strong "Para-Celtic" element (both Indo-European) and thus disproves the idea of a substantial pre-Indo-European or Basque presence in the region. This supports the earlier view that Untermann (https://en.wikipedia.org/wiki/J%C3%BCrgen_Untermann) considered the most plausible, coinciding with archaeological evidence put forward by Ruiz-Gálvez (https://en.wikipedia.org/w/index.php?title=Luisa_Ruiz-G%C3%A1lvez_Priego&action=edit&redlink=1) in 1998, that the Celtic settlement of the Iberian Peninsula (https://en.wikipedia.org/wiki/Iberian_Peninsula) was made by people who arrived via the Atlantic Ocean (https://en.wikipedia.org/wiki/Atlantic_Ocean) in an area between Brittany (https://en.wikipedia.org/wiki/Brittany) and the mouth of the River Garonne (https://en.wikipedia.org/wiki/Garonne), finally settling along the Galician (https://en.wikipedia.org/wiki/Galicia_(Spain)) and Cantabrian (https://en.wikipedia.org/wiki/Cantabria) coast.

Johane Derite
24-04-19, 17:50
I saw this comment though, which could be relevant here:

"Oh, and what's also in that upcoming Moots' paper, according to Ryukendo, is that central Italy in the EBA was still Sardinian-like up to 1700 BC."

markod
24-04-19, 17:51
Also this idea about Transylvanian CHG is just not feasible.


Why? Iron Age Moldovans and Bulgarians have lots of it, as do modern Romanians.

Johane Derite
24-04-19, 17:56
Why? Iron Age Moldovans and Bulgarians have lots of it, as do modern Romanians.

Because of the Y-dna lineages, which have continuity in the west balkans for the most part.

So unless its mostly female mediated, this picture of Illyrians being entirely iberian like before some mass transylvian migration is not feasible and is being built too early based on only two coastal north west illyrians and a lack of samples from Ancient macedonians, southern illyrians (like enchelae), dardanians, epirotes, etc.

markod
24-04-19, 18:11
Because of the Y-dna lineages, which have continuity in the west balkans for the most part.

So unless its mostly female mediated, this picture of Illyrians being entirely iberian like before some mass transylvian migration is not feasible and is being built too early based on only two coastal north west illyrians and a lack of samples from Ancient macedonians, southern illyrians (like enchelae), dardanians, epirotes, etc.

Not a good argument IMHO, Western Balkan lineages are too bottlenecked. What about BA/IA Montenegro, BA Pannonia? There must have been a turnover.

Macedonians were Eastern Balkanic, but Dardanians might be interesting.

Johane Derite
24-04-19, 18:22
Not a good argument IMHO, Western Balkan lineages are too bottlenecked. What about BA/IA Montenegro, BA Pannonia? There must have been a turnover.

Pannonia is even further north, and the oldest first mentioned as "illyrians" are the Taulanti who held west central albania position, and the enchelae, who were near lake ohrid, and then the Illyrians in epirus like the Bulliounes. Its possible that Dalmatian/Pannonian illyrians were influenced by their north italic Venetic neighbours. Or what if they had Venetic mothers from political marriages, etc. Without samples from inland Illyria, and south illyria, and epirotes,etc its too early to start creating theories about transylvanian migrants.

https://i.imgur.com/NRWRJF8.jpg

markod
24-04-19, 18:30
Pannonia is even further north, and the oldest first mentioned as "illyrians" are the Taulanti who held west central albania position, and the enchelae, who were near lake ohrid, and then the Illyrians in epirus like the Bulliounes. Its possible that Dalmatian/Pannonian illyrians were influenced by their north italic Venetic neighbours. Or what if they had Venetic mothers from political marriages, etc. Without samples from inland Illyria, and south illyria, and epirotes,etc its too early to start creating theories about transylvanian migrants.



We have DNA from kurgans in the Zeta plain, it doesn't get more 'Illyrian' than this. Believe whatever you want.

Johane Derite
24-04-19, 18:33
We have DNA from kurgans in the Zeta plain, it doesn't get more 'Illyrian' than this. Believe whatever you want.

Link? Source? Actually Serbia has many tumuli in Novi Pazar, and also in Central Serbia from Moesian sites. Where are these dna results? Serbia is not very transparent when it comes to archaeology unfortunately.

markod
24-04-19, 19:15
Link? Source? Actually Serbia has many tumuli in Novi Pazar, and also in Central Serbia from Moesian sites. Where are these dna results? Serbia is not very transparent when it comes to archaeology unfortunately.

Actually I mixed things up, the kurgans are from the bay of Kotor. Similar to Iberians and Hungarians respectively:

https://drive.google.com/file/d/0B9o3EYTdM8lQXy1feWVFYWp0WlE/view

Still early Illyrian, although Zeta plain would be earlier still if we go by Greek accounts.

Lukas
24-04-19, 19:42
...............

Johane Derite
24-04-19, 19:42
Actually I mixed things up, the kurgans are from the bay of Kotor. Similar to Iberians and Hungarians respectively:

https://drive.google.com/file/d/0B9o3EYTdM8lQXy1feWVFYWp0WlE/view

Still early Illyrian, although Zeta plain would be earlier still if we go by Greek accounts.

Well Kotor is the coast, and it is still Northern/Dalmatian/Panonnian border zone. We can't build argument on inland illyrians and south illyrians based on that. The coasts were routinely grabbed by conquest, and the first to change over with transfer of power, etc. The first time the term "illyrian" is attested is around around 500-400 BC, and its used for southern and central illyrians. With entry of Romans it becomes applied all the way north north

Lukas
24-04-19, 19:43
Opinion of Vadim Verenich (author of MDLP calcs) about it...



https://anthrogenica.com/showthread.php?16896-My-true-ancestry-Modern-group-to-closest-ancient-Dutch&p=563682&viewfull=1#post563682

So they repeat the same mistake(s) that was already done by the forerunners.
From the results posted above, we can infer that the similarity metrics rely on IBS scores between pseudo-haploid genomes of ancient samples and fully diploid genomes of modern reference groups, which is rather nonsensical.
For the words of wisdom were spelled out:
1) Thou shalt not compare pseudo-haploids against diploids - render unto haploids the things that are haploids, and unto diploids the things that are diploids"
2) Thou shalt not take genomewide ancestry and IBS metrics for estimating ancestry in vain.

Johane Derite
24-04-19, 19:45
Opinion of Vadim Verenich (author of MDLP calcs) about it...

Thanks for this

markod
24-04-19, 20:01
Well Kotor is the coast, and it is still Northern/Dalmatian/Panonnian border zone. We can't build argument on inland illyrians and south illyrians based on that. The coasts were routinely grabbed by conquest, and the first to change over with transfer of power, etc. The first time the term "illyrian" is attested is around around 500-400 BC, and its used for southern and central illyrians. With entry of Romans it becomes applied all the way north north

Hecateaus is the earliest IIRC, and he places them in the southern Dalmatian coastal area, i. e. right where these samples are. The Zeta plain is near the coast as well, and that's where the chiefly kurgans are.

No reason to think these weren't Illyrian.

Johane Derite
24-04-19, 20:10
Hecateaus is the earliest IIRC, and he places them in the southern Dalmatian coastal area, i. e. right where these samples are. The Zeta plain is near the coast as well, and that's where the chiefly kurgans are.

No reason to think these weren't Illyrian.

Correct Hecateus, here is the quote, the first Illyrian tribe we have mentioned with the term Illyrian:

"“Hecataeus in “Europe”. Chelidonians. An Illyrian people. Chelidonians live to the north of (the) Sesarethians”

The Chelidoni are the Taulanti. Chelidon means swallows in greece, dalland means swallow in Albanian.

The Sesarethians were around Lychnidus (lake ohrid) so this also matches taulanti location, north west of lake ohrid, central west Albania

Salento
24-04-19, 20:38
imo

Part of my results related to the Adriatic Sea, show that in a genetic sense, the Illyrian Tribes that migrated to Northeast/Southeast Italy, were closely related to each other.

(assuming I have Illyrian traces)
Adriatic side:
Campania, Puglia, Calabria 36.2%
Tuscany, Emilia Romagna, Umbria 20.1%
Epirus, Central Greece, West Macedonia 9.3%
Northern Italy 4%
Italy, Friuli-Venezia Giulia 1.7%
Goriska, Gorenjska 2.6%
Krapina-Zagorje, Varazdin, Osijek-Baranja 1.8%

zanipolo
24-04-19, 21:07
https://es.wikipedia.org/wiki/C%C3%A1ntabros
https://en.wikipedia.org/wiki/Cantabri


(https://es.wikipedia.org/wiki/C%C3%A1ntabros)Origin Spanish wikipedia


Estela Cantabrian Barros (Cantabria). Made of sandstone and with a base pier, its dimensions are 1.70 m in diameter and 0.32 m in thickness.
The study of the archaeological sites in the area where the cantabros are currently believed to be located reveals, on a Neolithic substratum, objects of a characteristic invoice of populations of the Danube region and the funerary culture of Campos de Urnas that could have arrived during the Bronze to settle later, during the second millennium a. C., around the high Ebro.


Both the gentilicios used by some tribes or Cantabrian clans - in particular the one of the orgenomescos / argentomescios? finally displaced to the more montane interior-, as well as equine cults, are similar to those of the Sarmatians and Moesios, Mekhi or Mycenaeans. The latter, of Indo-European language also, came from the regions north of the Danube and migrated to very remote places retaining their original names or variants, according to James P. Mallory. Although the foregoing does not allow to determine with certainty the original origin of these groups, genetic studies conducted in the current population of the region, detect in male genes a percentage mostly affiliated with haplogroup R-SRY2627 of Nordic origin, and to a lesser extent Haplogroup E E-M81 (4) from North Africa. The simultaneous presence of these haplotypes of African origin among the male population is considered original, and the great variety of origin of the mitochondrial haplogroups, among which those usually found in North Africa, suggest several possible successive influxes of Celtic populations close to Illyrians that could come from the Aegean region, Macedonia, Bulgaria, Albania and ancient Thrace where such genes are found today as well. Alternatively, some of these genetic subgroups of such disparate provenances may have reached Cantabria later during the Carthaginian or Roman domination of the Iberian Peninsula, even during the brief Muslim domination of the southern part of the region.


The dominant clan in the most fertile area and access to the high passes, the Plentusians / Plentuish ?, is related to the later culture of La Tène, properly Celtic and coming from the Lower Rhine.4 It could be of the first tribes evicted by Germanic tribes before 300 a. C.5 These are, perhaps, similar in etymology and identity to the Celtiberian Pelendons between the Ebro and Duero Rivers. [Citation needed]


Concanos, coniscos, salaens and other peoples may have been relegated to less favorable grazing areas. Within the tribal community they seem to represent Celtic Hallstatt groups or Paleolithic matrilineal genders related to the Basques, as Joaquín González Echegaray points out.

English wikipedia

OriginsThe ancestors of the Cantabri were thought by the Romans to have migrated to the Iberian Peninsula (https://en.wikipedia.org/wiki/Iberian_Peninsula)around the 4th Century BC, and were said by them to be more mixed than most peninsular Celtic peoples, their eleven or so tribes, assessed by Roman writers according to their names, were supposed to have included Gallic (https://en.wikipedia.org/wiki/Gauls), Celtiberian (https://en.wikipedia.org/wiki/Celtiberians), Indo-Aryan (https://en.wikipedia.org/wiki/Indo-Aryan_peoples), Aquitanian (https://en.wikipedia.org/wiki/Aquitani), and Ligurian (https://en.wikipedia.org/wiki/Liguri) origins.[citation needed (https://en.wikipedia.org/wiki/Wikipedia:Citation_needed)]
A detailed analysis of place-names in ancient Cantabria shows a strong Celtic element along with an almost equally strong "Para-Celtic" element (both Indo-European) and thus disproves the idea of a substantial pre-Indo-European or Basque presence in the region. This supports the earlier view that Untermann (https://en.wikipedia.org/wiki/J%C3%BCrgen_Untermann) considered the most plausible, coinciding with archaeological evidence put forward by Ruiz-Gálvez (https://en.wikipedia.org/w/index.php?title=Luisa_Ruiz-G%C3%A1lvez_Priego&action=edit&redlink=1) in 1998, that the Celtic settlement of the Iberian Peninsula (https://en.wikipedia.org/wiki/Iberian_Peninsula) was made by people who arrived via the Atlantic Ocean (https://en.wikipedia.org/wiki/Atlantic_Ocean) in an area between Brittany (https://en.wikipedia.org/wiki/Brittany) and the mouth of the River Garonne (https://en.wikipedia.org/wiki/Garonne), finally settling along the Galician (https://en.wikipedia.org/wiki/Galicia_(Spain)) and Cantabrian (https://en.wikipedia.org/wiki/Cantabria) coast.

The only Celtic population connection with Illyrian population first occurred in Noricum ( east Austria ) in the late bronze-age and is part of Halstatt culture ( it is not part of La Tene culture ).
Later celtic invasions into the western Balkans, occurred in the iron-age

Carlos
24-04-19, 21:08
Salento is right. I do not know in which calculator I also got Macedonian. The Illyrians can proceed from the Dorians. Maybe these tools are not super precise but they are quite good and they begin to coincide in many cases. Anyway, if we are now super mixed and these European ancient ethnic groups were also.

I think Albano Rissi could take Ilirio if the genetic test was done. I feel a familiar flow with him, maybe it's about that.

The ancient ethnic groups could be in many places moving through the historic happenings. Equally unlikely is the monopolization of ancient ethnic groups for political or nationalist issues today.

Duarte
25-04-19, 01:53
Salento is right. I do not know in which calculator I also got Macedonian. The Illyrians can proceed from the Dorians. Maybe these tools are not super precise but they are quite good and they begin to coincide in many cases. Anyway, if we are now super mixed and these European ancient ethnic groups were also.

I think Albano Rissi could take Ilirio if the genetic test was done. I feel a familiar flow with him, maybe it's about that.

The ancient ethnic groups could be in many places moving through the historic happenings. Equally unlikely is the monopolization of ancient ethnic groups for political or nationalist issues today.

Hello Carlos.
I'm not the type that likes to get into polemics, but I'll solidarize with you in your comment. No modern nationality, whether from anywhere place in the world, can self-proclaim itself the only descendant or the only one who is ethnically related to a particular ancestral people. Human Displacements and even the replacement of an entire ancestral population by another had been very common for millennia, and in this sense no one is authorized to say that his people are the only direct descendant of a particular individual or a group of individuals just because their skeletons and skulls were found in your backyard.
Big hug my dear friend :)

Fatherland
25-04-19, 11:10
It seems to affect Abruzzo, Tuscans, also. So i want to hear this, since you keep alluding to it, it's obvious you have a theory
Ghegian Y-lineages are completely Western Balkan. That's what these people can't get through their thick sculls.

LABERIA
25-04-19, 13:17
Ghegian Y-lineages are completely Western Balkan. That's what these people can't get through their thick sculls.

In Albanian we say Geg. The serbs say Ghegian.
Gheg or Geg (Gheg Albanian: gegnisht, Standard Albanian (https://en.wikipedia.org/wiki/Albanian_language): gegë or gegërisht) is one of the two major varieties (https://en.wikipedia.org/wiki/Variety_(linguistics)) of Albanian (https://en.wikipedia.org/wiki/Albanian_language).

Jovialis
25-04-19, 13:18
"So how did Y-haplogroup J2b get to Europe? My view for now is that it mostly arrived with a few sailors from the Near East during the Early to Middle Bronze Age"

http://eurogenes.blogspot.com/2019/03/how-did-y-haplogroup-j2b-get-to-europe.html

:laughing:

Well, at least he's being honest about the time. Way to discount a pivotal event in human history.

Fatherland
25-04-19, 18:40
In Albanian we say Geg. The serbs say Ghegian.
Gheg or Geg (Gheg Albanian: gegnisht, Standard Albanian (https://en.wikipedia.org/wiki/Albanian_language): gegë or gegërisht) is one of the two major varieties (https://en.wikipedia.org/wiki/Variety_(linguistics)) of Albanian (https://en.wikipedia.org/wiki/Albanian_language).
Irrelevant to the discussion.

matty74
25-04-19, 22:09
Thanks for this

To me, it seems that a great majority are amateurs. I can’t see trained geneticists really focusing on the genealogy aspect of the field . What’s his background? I’m just curious, because it appears his training is more or less related to law and philosophy of you check out his CV

Salento
26-04-19, 23:06
Could it be that they found the Iapygians? :)
(Daunians, Peucetians and Messapians?)

Ancient Relatives:
2 Illyrians and a Thracian

https://i.imgur.com/yBHVZq5.jpg
https://i.imgur.com/t9gG6wY.jpg

TardisBlue
26-04-19, 23:21
Premium members: We are proud to announce the "Deep Dive" feature!


- Deep dive checks your ENTIRE raw DNA data against all potential matches on an individual 1-1 basis
(you will need to re-upload your data, as raw data is removed after processing completes)
- This one of a kind feature you will not find anywhere else. Prove your ancestry beyond doubt.
- Discover Ancient Relatives. Compare at the chromosome level with new visual tools.

Great new feature!

https://i.ibb.co/DWLpXp0/Capture-d-cran-2019-04-26-23-24-44.png

https://i.ibb.co/s9Qqqcw/Capture-d-cran-2019-04-26-23-15-14.png
https://i.ibb.co/8gFMYdq/Capture-d-cran-2019-04-26-23-15-19.png
https://i.ibb.co/84dGwC9/Capture-d-cran-2019-04-26-23-15-25.png

Duarte
27-04-19, 00:05
It seems that I have many ancient cousins:)
https://i.imgur.com/Ku0nVsR.jpg
https://i.imgur.com/LpEzC3Y.jpg
https://i.imgur.com/PX7DbFU.png

Jovialis
27-04-19, 01:49
AncestryDNA


https://i.imgur.com/1kRVw0X.png

zanipolo
27-04-19, 01:56
Could it be that they found the Iapygians? :)
(Daunians, Peucetians and Messapians?)

Ancient Relatives:
2 Illyrians and a Thracian

https://i.imgur.com/yBHVZq5.jpg
https://i.imgur.com/t9gG6wY.jpg

is this the recent update on the site?

Salento
27-04-19, 02:10
is this the recent update on the site?
Yes, they call it “Deep Dive”.

Jovialis
27-04-19, 02:17
Hugely different results yielded considering the kind of kit you use. Most surprisingly is that Living DNA, with the least SNPs, yielded the most results, even more so than the superkit! There is an affinity to the Hittite Sample on many different chromosomes. I think the affinity to the Caananite sample is due to the migration from the CHG Admixed Anatolians of blue-eyed people, from the north in the copper age through the Bronze Age. I don't match with Caananite on any of the maps. I think there is an overlapping connection, especially considering my affinity to the copper age Anatolian and Armenian samples. I suggested in another thread, that the Copper age Anatolians, where very much similar to the Bronze-age people who lived there. Then perhaps they would be similar to the ones that went west into the Aegean, central, and western Mediterranean.

https://i.imgur.com/qqNQ5rQ.jpg

Salento
27-04-19, 02:20
AncestryDNA

https://i.imgur.com/ZR3cwqn.jpg

Salento
27-04-19, 02:31
23andme v5

https://i.imgur.com/qJgQw3l.jpg

Carlos
27-04-19, 03:13
https://4.bp.blogspot.com/-G8dxQKG9Yb4/XMOqCmacImI/AAAAAAAAAjk/AdpVfmoszd8NAU4zbIddiC-4T6ADx2xKwCLcBGAs/s1600/DEEP%2BDIVE.jpg

Me Deep Dive

Salento
27-04-19, 03:28
Waiting Game :angry:

LivingDNA coming soon :angry:

maybe Carlos broke their site :grin:

Jovialis
27-04-19, 03:46
Hugely different results yielded considering the kind of kit you use. Most surprisingly is that Living DNA, with the least SNPs, yielded the most results, even more so than the superkit! There is an affinity to the Hittite Sample on many different chromosomes. I think the affinity to the Caananite sample is due to the migration from the CHG Admixed Anatolians of blue-eyed people, from the north in the copper age through the Bronze Age. I don't match with Caananite on any of the maps. I think there is an overlapping connection, especially considering my affinity to the copper age Anatolian and Armenian samples. I suggested in another thread, that the Copper age Anatolians, where very much similar to the Bronze-age people who lived there. Then perhaps they would be similar to the ones that went west into the Aegean, central, and western Mediterranean.



https://i.imgur.com/DBG5QsD.png

davef
27-04-19, 04:13
Im amazed at how much we can really learn from this calculator. It really reveals a lot about people's origins (yes yes it's likely not completely spot on but nothing else is)

Salento
27-04-19, 05:28
LivDNA
https://i.imgur.com/te4pgEA.jpg

matty74
27-04-19, 05:43
https://i.imgur.com/5tcCeMh.png

Are these actual DNA matches or what? I know most of my Norwegian ancestors came from the Jaeren area in Rogaland. My great-grandfather and his family were a seafaring people until they moved to the United States. One line of the family originated in Telemark but ended up in Rogaland as well. From what I understand, there was a lot of sea traffic between Jaeren (near Stavanger) and Ireland/Iceland.

zanipolo
27-04-19, 05:58
i only got 2 samples from Deep Dive

Bell Beaker Poland
2500 BC
Total cM=22.71
Largest segment=15.14 cM (2 shared)


Alemannic Bavaria
450 AD
Total cM=10.49
Largest segment=5.84 cM (2 shared)


1. Gallo-Roman (590 AD) (7.349) - [Upgrade for more details]
2. Medieval Iberian (670 AD) (8.469) - [Upgrade for more details]
3. Illyrian / Dalmatia (1200 BC) (8.971) - [Upgrade for more details]
4. Central Roman (590 AD) (9.665) - [Upgrade for more details]
5. Central Roman (670 AD) (9.851) - [Upgrade for more details]
6. Central Roman (590 AD) (10.03) - [Upgrade for more details]
7. Medieval Piedmont (670 AD) (11.21) - [Upgrade for more details]
8. Iberian / Piedmont (670 AD) (11.57) - [Upgrade for more details]
9. Central Roman (590 AD) (11.91) - [Upgrade for more details]
10. Cisalpine Gaul (590 AD) (12.0) - [Upgrade for more details]
11. Illyrian / Dalmatia (1600 BC) (12.33) - [Upgrade for more details]
12. Thracian Bulgaria (450 BC) (12.33) - [Upgrade for more details]
13. Scythian Moldova (270 BC) (12.35) - [Upgrade for more details]
14. Medieval Tyrolian (590 AD) (14.52) - [Upgrade for more details]
15. Medieval Frank (670 AD) (15.25) - [Upgrade for more details]
16. Hellenic Roman (670 AD) (15.64) - [Upgrade for more details]
17. Roman Soldier Germany (300 BC) (16.26) - [Upgrade for more details]
18. Medieval Hungary / Balkan (1244 AD) (17.39) - [Upgrade for more details]
19. Frankish-Gaul / Lombardy Italy (670 AD) (17.57) - [Upgrade for more details]
20. Medieval Tyrolian (670 AD) (17.58) - [Upgrade for more details]
21. Medieval Tyrolian (590 AD) (17.78) - [Upgrade for more details]
22. Swiss Germanic (670 AD) (19.11) - [Upgrade for more details]
23. Central Roman / Mixed (590 AD) (19.11) - [Upgrade for more details]
24. Roman Soldier Freiham-Nord Germany (300 BC) (21.41) - [Upgrade for more details]
25. Gepid / Goth (450 AD) (21.74) - [Upgrade for more details]
26. Hellenic Roman (590 AD) (21.91) - [Upgrade for more details]
27. Mycenaean (1350 BC) (22.17) - [Upgrade for more details]
28. Crete Armenoi (1370 BC) (22.41) - [Upgrade for more details]
29. Scythian Moldova (300 BC) (22.53) - [Upgrade for more details]
30. Gaulic Gladiator York (250 AD) (23.09) - [Upgrade for more details]
31. Sicily Beaker (2200 BC) (23.1) - [Upgrade for more details]
32. Frankish / Hungary (590 AD) (23.27) - [Upgrade for more details]
33. Scythian Ukraine (600 BC) (23.73) - [Upgrade for more details]
34. Celt / Hungary (590 AD) (23.99) - [Upgrade for more details]
35. Frankish / Hungary (590 AD) (24.29) - [Upgrade for more details]
36. Alemannic Bavaria (450 AD) (24.32) - [Upgrade for more details]
37. Czech Velke Prilepy (0 AD) (24.68) - [Upgrade for more details]
38. Mycenaean (1350 BC) (24.75) - [Upgrade for more details]
39. Bell Beaker Poland (2500 BC) (25.01) - [Upgrade for more details]
40. Hungary Iron Age (800 BC) (25.2) - [Upgrade for more details]

Stuvanè
27-04-19, 08:49
Now i feel a bit king Pithana or Suppiluliuma...

https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-0/p480x480/58701383_2301591520054425_2817850303997542400_n.jp g?_nc_cat=101&_nc_ht=scontent-mxp1-1.xx&oh=d97461f55d52067cd975900945fe5ec9&oe=5D305077
https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-9/58543464_428152817997946_5868862807558062080_n.jpg ?_nc_cat=101&_nc_ht=scontent-mxp1-1.xx&oh=ae64b96ebef8038291a4045ed1fd8cbe&oe=5D2CBC86

Jovialis
27-04-19, 10:46
@ Salento: Interesting, so Living DNA really is a very good raw data version for this feature.

@ Stuvane: How about Hattusili? :)

This documentary is super-old, but this clip is pretty great:

https://youtu.be/vrJ2POaO9s4?t=721

Jovialis
27-04-19, 11:09
@ Salento: Interesting, so Living DNA really is a very good raw data version for this feature.

@ Stuvane: How about Hattusili? :)

This documentary is super-old, but this clip is pretty great:

https://youtu.be/vrJ2POaO9s4?t=721

It also talks about how they spoke the oldest known Indo-European language. Also how the chief god of their pantheon, was a storm god, who was very similar to Zeus, and Jupiter.

Stuvanè
27-04-19, 11:53
It also talks about how they spoke the oldest known Indo-European language. Also how the chief god of their pantheon, was a storm god, who was very similar to Zeus, and Jupiter.

Great, Jovialis. Here we can consult some insights on the matter

https://www.academia.edu/289049/Lycia_-_Crossroads_of_Hittite_and_Greek_Traditions

Jovialis
27-04-19, 11:57
Great, Jovialis. Here we can consult some insights on the matter

https://www.academia.edu/289049/Lycia_-_Crossroads_of_Hittite_and_Greek_Traditions

Great info! Sorry that I'm currently out of votes at the moment.

Jovialis
27-04-19, 12:20
Im amazed at how much we can really learn from this calculator. It really reveals a lot about people's origins (yes yes it's likely not completely spot on but nothing else is)

It also takes some understanding of how these calculators work; it is all very wonky. This is a lot like 23andme's DNA relatives but using only the ancient samples. I get "cousins" that share ancestry from totally unrelated places, exclusive unto them, like Native American.

In fact, on AncestryDNA, people with around 10 cM, have autosomal components that are completely different from mine.

Nevertheless, I do find this to be very interesting and useful. It really makes me inclined to think that the copper age Anatolians are the overlapping population.

https://i.imgur.com/WeXhhXp.jpg

https://i.imgur.com/rLzrc6C.png

This is all consistent with my eurogenes ancient DNA similarity chart, I wonder if the 35 affinity to the Ancient Egyptian mummy is also related to this Anatolian copper age migration. Considering the Anatolian_N and Iranian Farmer in them:

https://i.imgur.com/mPRwQ7x.png

Jovialis
27-04-19, 13:06
I think they also need to make some updates, since some are yielding significantly fewer results. 23andme doesn't reveal any for me currently. However, I hope I won't have to delete, and re-upload my raw data again to see.

Jovialis
27-04-19, 16:23
I uploaded a 23andme format of my Superkit, and it also does not show any results. But 23andme format works for my father fairly well, but for my brother, and mother significantly.

Duarte
27-04-19, 16:32
Data raw from "Family Tree DNA - FTDNA". Same results of MyHeritage. Not surprising. Both companies use the Lab "Gene by Gene" in Houston, Texas, for analisys.

Unfortunately the tests in Brazil through 23AndMe, Ancestry and LivingDNA are practically impossible, since Brazilian legislation imposes severe restrictions on the exit of human biological material from the country due to the fear of genetic piracy. The case of the collection of genetic material of the Karitiana Indians without the knowledge of the government and its subsequent indiscriminate use by companies and laboratories throughout the world generated a national commotion and the consequent creation of the restriction by the government.
Only the companies MyHeritage and FamilyTreeDNA maintains bases in Brazil with structure to meet the requirements of Brazilian legislation. Samples from Brazilians have to be sent to these local bases and from it is that the genetic material is sent to laboratories abroad. The final results of the aforementioned companies may take up to 4 months to be published on the internet, due to the bureaucracy that has to be fulfilled.
https://i.imgur.com/V3qHISC.png
https://i.imgur.com/yxnuVqG.jpg
https://i.imgur.com/1fs2ysk.png
https://i.imgur.com/Rv5T3vb.png
https://imgur.com/V3qHISChttps://i.imgur.com/b1Urdki.png
https://i.imgur.com/upnendM.jpg
https://i.imgur.com/nhkwCSK.jpg
https://i.imgur.com/mDwW55t.jpg
https://i.imgur.com/XnQ1ziO.png

Jovialis
27-04-19, 16:38
Data raw from "Family Tree DNA - FTDNA". Same results of MyHeritage. Not surprising. Both companies use the Lab "Gene by Gene" in Houston, Texas, for analisys.

Unfortunately the tests in Brazil through 23AndMe, Ancestry and LivingDNA are practically impossible, since Brazilian legislation imposes severe restrictions on the exit of human biological material from the country due to the fear of genetic piracy. The case of the collection of genetic material of the Karitiana Indians without the knowledge of the government and its subsequent indiscriminate use by companies and laboratories throughout the world generated a national commotion and the consequent creation of the restriction by the government.
Only the companies MyHeritage and FamilyTreeDNA maintains bases in Brazil with structure to meet the requirements of Brazilian legislation. Samples from Brazilians have to be sent to these local bases and from it is that the genetic material is sent to laboratories abroad. The final results of the aforementioned companies may take up to 4 months to be published on the internet, due to the bureaucracy that has to be fulfilled.
https://i.imgur.com/V3qHISC.png
https://i.imgur.com/E5rbG56.png
https://i.imgur.com/1fs2ysk.png
https://i.imgur.com/Rv5T3vb.png
https://imgur.com/V3qHISChttps://i.imgur.com/b1Urdki.png
https://i.imgur.com/upnendM.jpg
https://i.imgur.com/nhkwCSK.jpg
https://i.imgur.com/mDwW55t.jpg
https://i.imgur.com/XnQ1ziO.png

That's good to know, I ordered FTDNA because it was on sale, and I had a gift card. I wanted it really for the raw data I could download. If they produce the same exact raw data, I might as well skip on Myheritage.

Jovialis
27-04-19, 16:42
http://www.beholdgenealogy.com/blog/?p=2136

Here this blogger also confirms they are exactly the same, line by line.

Salento
27-04-19, 16:44
I think they also need to make some updates, since some are yielding significantly fewer results. 23andme doesn't reveal any for me currently. However, I hope I won't have to delete, and re-upload my raw data again to see.

NG Helix results.
(“Something” has been done right after all to outmatch 23) LOL


https://i.imgur.com/tUF8wF1.jpg

Jovialis
27-04-19, 16:49
I should also note that despite the fact that the 23andme formatted superkit, and AncestryDNA formated superkit, produce the same results for every feature. Except for the Deep dive; one produces a mediocre amount, the other produces none.

Duarte
27-04-19, 16:55
http://www.beholdgenealogy.com/blog/?p=2136

Here this blogger also confirms they are exactly the same, line by line.

Thanks Jovialis :) I believe that you can skip on Myheritage. The two companies produce the same data raw.

Salento
27-04-19, 17:18
MyHeritage has just switched to a custom GSA chip.

just sayin' :satisfied:

Jovialis
27-04-19, 18:19
Dante Labs does whole genome sequencing. They provide the raw data as a VCF file. Currently it is accepted by Gedmatch, as well as Mytrueancestry. Right now, it is only $229. Pretty soon it will be as cheap as the standard genotyping I bet.

http://www.beholdgenealogy.com/blog/?p=2879

Now I know what I want for Christmas.

Jovialis
27-04-19, 18:29
Dante Labs does whole genome sequencing. They provide the raw data as a VCF file. Currently it is accepted by Gedmatch, as well as Mytrueancestry. Right now, it is only $229. Pretty soon it will be as cheap as the standard genotyping I bet.

http://www.beholdgenealogy.com/blog/?p=2879

Now I know what I want for Christmas.

https://i.imgur.com/qsHERZV.png

As a matter of fact, Dante labs is the only one that allows you to utilize the medical add-on.

Jovialis
27-04-19, 19:01
Now i feel a bit king Pithana or Suppiluliuma...

https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-0/p480x480/58701383_2301591520054425_2817850303997542400_n.jp g?_nc_cat=101&_nc_ht=scontent-mxp1-1.xx&oh=d97461f55d52067cd975900945fe5ec9&oe=5D305077
https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-9/58543464_428152817997946_5868862807558062080_n.jpg ?_nc_cat=101&_nc_ht=scontent-mxp1-1.xx&oh=ae64b96ebef8038291a4045ed1fd8cbe&oe=5D2CBC86


https://i.imgur.com/2tOWHsk.png

Here is a PCA posted by Lazaridis on twitter. Below is a zoned in edit I made showing the positions of where the Italian groups land, in the Raveane et al paper. I wonder if they had a sample from Kumtepe_pub, how much I would get.

https://i.imgur.com/96veLd8.png

zanipolo
27-04-19, 19:39
my grandfather's result
.
.
Gaul + Gallo-Roman (4.866)
Gaul + Thracian (5.522)
Gaul (8.086)
Gallo-Roman (8.595)
Thracian (8.85)
.
.
.
Your closest Archaeogenetic matches...
1. Cisalpine Gaul (590 AD) (8.086) - [Upgrade for more details]
2. Gallo-Roman (590 AD) (8.595) - [Upgrade for more details]
3. Iberian / Piedmont (670 AD) (8.602) - [Upgrade for more details]
4. Illyrian / Dalmatia (1600 BC) (8.85) - [Upgrade for more details]
5. Thracian Bulgaria (450 BC) (8.85) - [Upgrade for more details]
6. Illyrian / Dalmatia (1200 BC) (8.857) - [Upgrade for more details]
7. Central Roman (670 AD) (9.77) - [Upgrade for more details]
8. Scythian Moldova (270 BC) (10.44) - [Upgrade for more details]
9. Medieval Tyrolian (590 AD) (10.66) - [Upgrade for more details]
10. Medieval Piedmont (670 AD) (10.93) - [Upgrade for more details]
11. Central Roman (590 AD) (11.0) - [Upgrade for more details]
12. Central Roman (590 AD) (11.04) - [Upgrade for more details]
13. Medieval Hungary / Balkan (1244 AD) (11.32) - [Upgrade for more details]
14. Medieval Iberian (670 AD) (12.1) - [Upgrade for more details]
15. Medieval Frank (670 AD) (12.44) - [Upgrade for more details]
16. Central Roman (590 AD) (12.46) - [Upgrade for more details]
17. Frankish-Gaul / Lombardy Italy (670 AD) (12.53) - [Upgrade for more details]
18. Roman Soldier Germany (300 BC) (13.59) - [Upgrade for more details]
19. Swiss Germanic (670 AD) (13.69) - [Upgrade for more details]
20. Medieval Tyrolian (670 AD) (13.77) - [Upgrade for more details]
21. Medieval Tyrolian (590 AD) (14.48) - [Upgrade for more details]
22. Hellenic Roman (670 AD) (17.72) - [Upgrade for more details]
23. Roman Soldier Freiham-Nord Germany (300 BC) (19.04) - [Upgrade for more details]
24. Frankish / Hungary (590 AD) (19.25) - [Upgrade for more details]
25. Frankish / Hungary (590 AD) (19.26) - [Upgrade for more details]
26. Scythian Moldova (300 BC) (19.34) - [Upgrade for more details]
27. Alemannic Bavaria (450 AD) (19.67) - [Upgrade for more details]
28. Central Roman / Mixed (590 AD) (20.03) - [Upgrade for more details]
29. Gepid / Goth (450 AD) (20.11) - [Upgrade for more details]
30. Hellenic Roman (590 AD) (20.13) - [Upgrade for more details]
31. Celt / Hungary (590 AD) (20.95) - [Upgrade for more details]
32. Gaulic Gladiator York (250 AD) (21.09) - [Upgrade for more details]
33. Halstatt (775 BC) (21.17) - [Upgrade for more details]
34. Czech Velke Prilepy (0 AD) (21.32) - [Upgrade for more details]
35. Bell Beaker Poland (2500 BC) (21.53) - [Upgrade for more details]
36. Mycenaean (1350 BC) (22.21) - [Upgrade for more details]
37. Nordic Lombard (590 AD) (22.42) - [Upgrade for more details]
38. Nordic Lombard (590 AD) (22.5) - [Upgrade for more details]
39. Scythian Ukraine (600 BC) (22.76) - [Upgrade for more details]
40. Germano-Celtic Gladiator York (250 AD) (22.87) - [Upgrade for more details]
.
.
only 1 deep dive
.
Alemannic Bavaria
450 AD
Total cM=29.71
Largest segment=9.05 cM (4 shared)

Lukas
28-04-19, 00:43
Guys, do you really didn';t notice that?:)

This is just biggest bullshit lately on Genetic Internet...

Do you know your one-to-many list on Gematch? What is your highest match (besides close family like parents) for me about 30 cM. And Gedmatch says common ancestor was about 4.5 generation ago.

https://i.postimg.cc/0yC2j0PF/Bez-nazwy-9.png

So what the hell means if you have common 80 cM with sample from Bronze Age Jutland? (It was example from another forum, but here were also posted very high "ancient matches") How many generation ago it was? Go figurehttp://www.theapricity.com/forum/images/smilies/smile.png It is impossible and completely biased result.

https://screenshotscdn.firefoxusercontent.com/images/8fe4d8fb-7b3d-4ec7-ab3c-6f304623d26a.png


Posting it, is like posting random numbers taken from the... Nobody can defend those cM values in two post above. Unless you believe you match 3500 years old sample on the same level as 3rd cousin...

Carlos
28-04-19, 01:20
https://www.youtube.com/watch?v=4Mjc4LMuD6A

Some facial reconstruction of a skull has been done of some of the results that are being put.

italouruguayan
28-04-19, 01:40
My deep dive

Alemannic Bavaria
450 AD
BIM_33
Total cM=47.45
Largest segment=14.55 cM (5 shared)


Crete Armenoi
1370 BC
I9123
Total cM=8.56
Largest segment=8.56 cM (1 shared)


Mycenaean
1350 BC
I9033
Total cM=4.18
Largest segment=4.18 cM (1 shared)

Duarte
28-04-19, 02:30
After all, who can say with certainty what is a bullshit and what is or who is right or wrong? One of the four major autosomal testing companies of the world says I have 1,165 cousins ​​scattered around the world. Below, part of the list of some of the countries where I have cousins:

https://i.imgur.com/reAibVr.jpg

The first one on the list of cousins is a German woman, my first or second cousin, with whom I share 11 segments of DNA totaling 213 cm (3%), the longest being 51.1 cm. Neither I do believe in this, nor She, so much so that we never contact each other:

https://i.imgur.com/BOZIKzI.jpg


Just a genetic coincidence. Genes combine randomly. They play, they fun with us. She and me have only one genetic similarity. She is not my first cousin and neither am I her first cousin. I'm also not a cousin of the other 1,164 people that are on the list.

zanipolo
28-04-19, 03:05
Guys, do you really didn';t notice that?:)

This is just biggest bullshit lately on Genetic Internet...

Do you know your one-to-many list on Gematch? What is your highest match (besides close family like parents) for me about 30 cM. And Gedmatch says common ancestor was about 4.5 generation ago.

https://i.postimg.cc/0yC2j0PF/Bez-nazwy-9.png

So what the hell means if you have common 80 cM with sample from Bronze Age Jutland? (It was example from another forum, but here were also posted very high "ancient matches") How many generation ago it was? Go figurehttp://www.theapricity.com/forum/images/smilies/smile.png It is impossible and completely biased result.

https://screenshotscdn.firefoxusercontent.com/images/8fe4d8fb-7b3d-4ec7-ab3c-6f304623d26a.png


Posting it, is like posting random numbers taken from the... Nobody can defend those cM values in two post above. Unless you believe you match 3500 years old sample on the same level as 3rd cousin...

who has 80cm ?

I have 79cm with a match from 1780

Carlos
28-04-19, 03:17
^^
Me. If you would pay more attention to me and do not go on Sundays to the football game ...

https://www.eupedia.com/forum/threads/38222-Mytrueancestry-com/page13

elghund
28-04-19, 04:13
Modern Populations
1. Welsh (5.566)
2. Southwest_English (7.584)
3. West_German (7.586)
4. South_Dutch (7.637)
5. North_Dutch (8.732)
6. German_Central (8.792)
7. Southeast_English (8.870)
8. Danish (9.015)

Ancient Populations
Saxon + Frank (5.34)
Longobard + Frank (5.622)
Frank (5.95)
Longobard (8.259)
Saxon (8.901)

Deep Dive
Late Medieval Gotlander (https://www.academia.edu/7372018/Foreword_History_of_the_Gotlandic_Merchant_Republi c) 1600 ADTotal cM=17.01 Largest segment=11.21 cM

Archaeogenetic Matches
1. Frankish / Hungary (590 AD) (5.95) - SZ23 (https://www.nature.com/articles/s41467-018-06024-4)
2. Alemannic Bavaria (500 AD) (6.164) - ALH_1 (https://www.pnas.org/content/115/13/3494)
3. Bell Beaker Germany (2500 BC) (7.684) - I0112 (https://www.biorxiv.org/content/10.1101/013433v1)
4. Bell Beaker Southern France (2050 BC) (7.978) - I3875 (https://www.biorxiv.org/content/10.1101/135962v1)
5. Nordic Lombard (670 AD) (8.259) - CL92 (https://www.nature.com/articles/s41467-018-06024-4)
6. Bell Beaker Poland (2500 BC) (8.434) - I4251 (http://biorxiv.org/content/early/2017/05/09/135962)
7. Alemannic Bavaria (450 AD) (8.88) - BIM_33 (https://www.pnas.org/content/115/13/3494)
8. Anglo Saxon (700 AD) (8.901) - Hinxton HS3 (https://www.sanger.ac.uk/news/view/ancient-genomes-reveal-english-are-one-third-anglo-saxon)
9. Colonial American Pennsylvania (1700 AD) (9.002) - Shohola (https://science.sciencemag.org/content/sci/suppl/2018/05/30/360.6392.1024.DC1/aar6851_Scheib_SM.pdf)
10. Nordic Lombard / Winnili (590 AD) (9.168) - SZ16 (https://www.nature.com/articles/s41467-018-06024-4)
11. Late Medieval Gotlander (1600 AD) (9.273) - Unknown (https://www.academia.edu/7372018/Foreword_History_of_the_Gotlandic_Merchant_Republi c)
12. Corded Ware Denmark (2450 BC) (9.493) - Rise61 (https://www.nature.com/articles/nature14507)
13. Viking Sweden (1100 AD) (9.687) - Sigtuna stg021 (https://www.cell.com/current-biology/fulltext/S0960-9822(18)30844-3)
14. Czech Velke Prilepy (0 AD) (9.723) - Rise577 (https://www.nature.com/articles/nature25738)
15. Germano-Celtic Gladiator York (250 AD) (9.967) - 3DRIF-16 (https://www.nature.com/articles/ncomms10326)
16. Frankish / Hungary (590 AD) (9.967) - SZ38 (https://www.nature.com/articles/s41467-018-06024-4)
17. Nordic Lombard (590 AD) (10.18) - SZ15 (https://www.nature.com/articles/s41467-018-06024-4)
18. Halstatt (775 BC) (10.2) - DA112 (https://www.nature.com/articles/s41586-018-0094-2)
19. Celt / Hungary (590 AD) (10.33) - SZ42 (https://www.nature.com/articles/s41467-018-06024-4)
20. Swiss Germanic (670 AD) (10.58) - CL102 (https://www.nature.com/articles/s41467-018-06024-4)
21. Nordic Lombard (590 AD) (10.92) - SZ12 (https://www.nature.com/articles/s41467-018-06024-4)
22. Alemannic Bavaria (425 AD) (11.0) - STR_316 (https://www.pnas.org/content/115/13/3494)
23. Nordic Lombard (590 AD) (11.1) - SZ8 (https://www.nature.com/articles/s41467-018-06024-4)
24. Nordic Lombard (590 AD) (11.27) - SZ14 (https://www.nature.com/articles/s41467-018-06024-4)
25. Alemannic Bavaria (500 AD) (11.45) - AED_249 (https://www.pnas.org/content/115/13/3494)
26. Celtic Gladiator York (250 AD) (11.48) - 6DRIF-21 (https://www.nature.com/articles/ncomms10326)
27. Gaulic Gladiator York (250 AD) (11.49) - 6DRIF-22 (https://www.nature.com/articles/ncomms10326)
28. Bronze Age Celt England (1000 BC) (11.63) - I5383 (https://www.nature.com/articles/nature25738)
29. Nordic Lombard (590 AD) (11.78) - SZ24 (https://www.nature.com/articles/s41467-018-06024-4)
30. Nordic Lombard (590 AD) (11.8) - SZ7 (https://www.nature.com/articles/s41467-018-06024-4)
31. Nordic-Celtic Gladiator York (250 AD) (11.82) - 6DRIF-18 (https://www.nature.com/articles/ncomms10326)
32. Nordic Lombard (670 AD) (12.13) - CL84 (https://www.nature.com/articles/s41467-018-06024-4)
33. Celtic / Hungary (590 AD) (12.31) - SZ11 (https://www.nature.com/articles/s41467-018-06024-4)
34. Bronze Age Germany (1050 BC) (12.32) - I0099 (http://biorxiv.org/content/early/2015/02/10/013433)
35. Viking Sweden (1100 AD) (12.41) - Sigtuna grt036 (https://www.cell.com/current-biology/fulltext/S0960-9822(18)30844-3)
36. Celtic Briton (0 AD) (12.62) - Hinxton 4 (https://www.sanger.ac.uk/news/view/ancient-genomes-reveal-english-are-one-third-anglo-saxon)
37. Nordic Lombard (590 AD) (12.62) - SZ9 (https://www.nature.com/articles/s41467-018-06024-4)
38. Celtic/Viking Iceland (1000 AD) (12.75) - VDP-A6 (http://science.sciencemag.org/content/360/6392/1028)
39. Vandal Chieftain (375 AD) (12.78) - DA119 (http://www.zbsa.eu/research/poprad?set_language=en)
40. Medieval Tyrolian (590 AD) (12.8) - SZ5 (https://www.nature.com/articles/s41467-018-06024-4)
41. Celtic Briton (70 BC) (12.85) - Hinxton 1 (https://www.sanger.ac.uk/news/view/ancient-genomes-reveal-english-are-one-third-anglo-saxon)
42. Nordic Lombard (670 AD) (13.31) - CL145 (https://www.nature.com/articles/s41467-018-06024-4)
43. Alemannic Bavaria (500 AD) (13.31) - AED_106 (https://www.pnas.org/content/115/13/3494)
44. Nordic Lombard (590 AD) (13.68) - SZ22 (https://www.nature.com/articles/s41467-018-06024-4)
45. Medieval Hungary / Balkan (1244 AD) (13.73) - DA199
46. Alemannic Bavaria (500 AD) (13.85) - ALH_10 (https://www.pnas.org/content/115/13/3494)
47. Frankish-Gaul / Lombardy Italy (670 AD) (13.86) - CL47 (https://www.nature.com/articles/s41467-018-06024-4)
48. Ireland Copper Age (1880 BC) (13.94) - Rathlin2 (https://mytrueancestry.com/c/archaicdna.blogspot.com)
49. Medieval Tyrolian (670 AD) (13.94) - CL53 (https://www.nature.com/articles/s41467-018-06024-4)
50. Medieval Tyrolian (590 AD) (13.99) - SZ18 (https://www.nature.com/articles/s41467-018-06024-4)
51. Nordic Lombard (670 AD) (14.02) - CL93 (https://www.nature.com/articles/s41467-018-06024-4)
52. Pict (670 AD) (14.08) - CL83 (https://www.nature.com/articles/s41467-018-06024-4)
53. Bell Beaker Germany (2250 BC) (14.12) - I0806 (https://www.biorxiv.org/content/10.1101/013433v1)
54. Medieval Frank (670 AD) (14.23) - CL63 (https://www.nature.com/articles/s41467-018-06024-4)
55. Nordic Lombard (590 AD) (14.27) - SZ4 (https://www.nature.com/articles/s41467-018-06024-4)
56. Germano-Celtic Gladiator York (250 AD) (14.45) - 6DRIF-3 (https://www.nature.com/articles/ncomms10326)
57. Nordic Lombard (670 AD) (14.55) - CL146 (https://www.nature.com/articles/s41467-018-06024-4)
58. Unetice Bohemia (1800 BC) (14.72) - Rise150 (https://www.nature.com/articles/nature14507)
59. Nordic Lombard (590 AD) (14.8) - SZ2 (https://www.nature.com/articles/s41467-018-06024-4)
60. Anglo Saxon (700 AD) (14.82) - Hinxton HS1

(https://www.sanger.ac.uk/news/view/ancient-genomes-reveal-english-are-one-third-anglo-saxon)

matty74
28-04-19, 05:29
[/FONT]

Yes it's true. Previously they related the ancient samples that came close to the distance of 20. Now they relate the ancient samples that came close near the distance of 30.



After all, who can say with certainty what is a bullshit and what is or who is right or wrong? One of the four major autosomal testing companies of the world says I have 1,165 cousins ​​scattered around the world. Below, part of the list of some of the countries where I have cousins:

The first one on the list of cousins is a German woman, my first or second cousin, with whom I share 11 segments of DNA totaling 213 cm (3%), the longest being 51.1 cm. Neither I do believe in this, nor She, so much so that we never contact each other:



Just a genetic coincidence. Genes combine randomly. They play, they fun with us. She and me have only one genetic similarity. She is not my first cousin and neither am I her first cousin. I'm also not a cousin of the other 1,164 people that are on the list.

I'm curious about this as well. I find it hard to believe I match with that many people in Norway, but almost all of those matches are from the same area of western Norway that my grandfather came from. So, I do find it interesting and somewhat curious but I also understand many of these genetic similarities are also by chance. These below links seem to be all over the map.

https://i.imgur.com/Hq4yNTh.png

So, it matches up with THREE of these locations in the "deep dive" Do I actually share 40cm of DNA with someone from the 1600's? It's possible I suppose but I'm not sure what the relationship would be.

https://i.imgur.com/tEvG4RZ.jpg

https://i.imgur.com/0XeTk6v.png

https://i.imgur.com/VESex4f.png

https://i.imgur.com/Yvx1gMR.png

https://i.imgur.com/UXtW8iK.png

https://i.imgur.com/jYWOWvR.png

Lukas
28-04-19, 11:22
After all, who can say with certainty what is a bullshit and what is or who is right or wrong? One of the four major autosomal testing companies of the world says I have 1,165 cousins ​​scattered around the world. Below, part of the list of some of the countries where I have cousins:

https://i.imgur.com/reAibVr.jpg

The first one on the list of cousins is a German woman, my first or second cousin, with whom I share 11 segments of DNA totaling 213 cm (3%), the longest being 51.1 cm. Neither I do believe in this, nor She, so much so that we never contact each other:




Just a genetic coincidence. Genes combine randomly. They play, they fun with us. She and me have only one genetic similarity. She is not my first cousin and neither am I her first cousin. I'm also not a cousin of the other 1,164 people that are on the list.

You don't understand it or just ********?
You compare matches of real people from MyHeritage with ancient samples from few thousands years?:)

Simply you can't inherit so many cM (50, 60, 80 or more) from ancient samples lived thousand years ago. This is clue of my post.
All those numbers are probably make up randomly for everyone who was sto stupid to pay for it.

Here is post from 23&me forum, not mine but user RandalGibbs.
1 cM by definition is the length of DNA that has a 1% chance of recombination during meiosis. For longer segments you can estimate the chance of recombination in a single generation based on the cM length. For example a 20cM segment has about an 80% chance of remaining intact and a 20% chance of being recombined. (It's not exactly 80/20 because it could have multiple recombinations). If the segment remains intact, there is a 50/50 chance it is passed down. For a 20cM segment of your parent's DNA, there is about a 40% chance you'll get the whole thing, 40% you'll get none of it and 20% it will recombine and you'll only get part of it.Obviously each generation decreases the likelihood of getting an intact segment of over 20cM from an ancestor. I could imagine a segment of that size surviving recombination for many generations, perhaps a few hundred years, but can't see how it would survive for thousands of year.

I wrote a recombination simulator. It is the first step in a project I may never finish to estimate the amount of DNA that should be shared by relatives based not only on the relationship, but by the number of males and females in the relationship path. (There is less recombination in males than females. You get 50% from each set of grandparents, but are likely to have fewer but longer paternal segments while you have more but shorter maternal segments).
I just ran my simulator a few times and the longest segment that it showed surviving 100 generations (roughly 3000 years) was about 7cM. I got quite a few segments 4-6cM and a few over 7cM, but none that were 8cM. I can't see how some of the images above are correct showing a segment over 20cM shared with someone who lived 3000 years, like shown in the first 2 images above (2450BC, 2500BC) That doesn't seem plausible to me.

Salento
28-04-19, 13:50
I could be wrong, but if he is who I think he is, he’s proving not to be a good sport.

He’s afraid of the competition.

Lukas
28-04-19, 14:27
I could be wrong, but if he is who I think he is, he’s proving not to be a good sport.

He’s afraid of the competition.
If you refer to me, I don't make products related to ancient genomes. So it isn't my competitor.

First thing. They use for modern population distances on 99% K15 Eurogenes.
Why K15? Simply compare your single distances (for modern populations) and population ordering on the list, in mytruancestry and K15. Selling people results from free K15 is not good practice, isn't it?

Moreover I simply can't resist if someone deliberately fools people and sell them "upgrades" which shows fake cM values for "ancient matches".

If you don't agree with me please explain how it is possible to have ancient match with few thousands years sample, with cM level equaling some close cousin:) I'm waiting for your scholar opinion...Above I posted opinion of guy more experienced than me in such things.

Carlos
28-04-19, 14:51
Bronze age Jutland Denmark is this case or it is about another individual?

http://sciencenordic.com/sites/default/files/imagecache/620x/skrydstrupkvinden_i_sin_kiste.jpg
http://sciencenordic.com/sites/default/files/imagecache/620x/skrydstrupkvinden_med_oereringe_og_haar_beskaaret. jpg

https://upload.wikimedia.org/wikipedia/commons/thumb/f/fc/Egtvedpiken.jpg/220px-Egtvedpiken.jpg

Analyses suggest that she could have come from south Germany, France, Sweden, or The Czech Republic, and researchers are now trying to pinpoint her exact origins to see just how far she may have travelled.

I have taken 80.11 cM with this beauty of the Bronze Age but how to know if it is for Y DNA or mitochondrial DNA?

Lukas
28-04-19, 14:59
Bronze age Jutland Denmark is this case?

http://sciencenordic.com/sites/default/files/imagecache/620x/skrydstrupkvinden_i_sin_kiste.jpg
Analyses suggest that she could have come from south Germany, France, Sweden, or The Czech Republic, and researchers are now trying to pinpoint her exact origins to see just how far she may have travelled.

I have taken 80 cM with this beauty of the Bronze Age but how to know if it is for Y DNA or mitochondrial DNA?

Not only Bronze Age Jutland. Some people have hilariously high cM values for Alemanns, Myceanians or Scythians. Simply open your one-to-many list on Gedmatch or match list in FTDNA and compare cM values with those living people. And check with whom and how many you have such high matches.

And now calculate generation number which lasted from Brozne or Iron Age... There are all fake results. Not matter where they lived, 50, 100 or 150 generations erased all substantial cM values in common with them.

https://isogg.org/wiki/Autosomal_DNA_statistics (https://isogg.org/wiki/Autosomal_DNA_statistics)
Here table from ISOGG

https://isogg.org/w/images/thumb/b/bf/Shared_cM_version_3.jpg/1000px-Shared_cM_version_3.jpg

And did you really think Jutland sample is someone living today 3rd cousing according to table:)?

Dibran
28-04-19, 15:00
Didnt know there was an update. running mine now.

Carlos
28-04-19, 15:08
The interesting thing would be to compare in Gedmatch my kit with Jutland Bronze Age

How do I know if my match with Age Bronze Denmark is by mitochondrial DNA or by Y DNA?

Salento
28-04-19, 15:25
@mlucas

I ain’t a Scholar of anything.

In case of conflict of interest, Full Disclosure is a must.

People need to know from which angle a criticism is coming from.

Lukas
28-04-19, 15:27
@mlucas

I ain’t a Scholar of anything.

In case of conflict of interest, Full Disclosure is a must.

People need to know from which angle a criticism is coming from.
I criticize openly under mine nick. You could be suspicious if I theoretically create new account and post as sock acting as average user...

Lukas
28-04-19, 15:30
The interesting thing would be to compare in Gedmatch my kit with Jutland Bronze Age

How do I know if my match with Age Bronze Denmark is by mitochondrial DNA or by Y DNA?

In such kind of analysis you can't. No on-line tool gives you percentages or population distances to ancient or modern pops using Y-DNA or mtDNA, please don't talk such things... Only autosomal DNA is used.
BTW if you uploaded for example FTDNA or MyHeritage or Ancestry kit there don't have sex chromosomes snps.

Salento
28-04-19, 15:35
I criticize openly under mine nick. You could be suspicious if I theoretically create new account and post as sock acting as average user...

You should have told @Duarte.
Instead you called us stupid.
Not everyone knows what you do.

Lukas
28-04-19, 15:44
You should have told @Duarte.
Instead you called us stupid.
Not everyone knows what you do.

Ok leaving me aside, my statement about hilarious cM number for ancient matches is still true. Unless someone could give plausible explanation that this website tool creates new method of "matching" which gives you similar number of shared centrimorgans with thousand years old samples, as for some real distant cousins (look on table few posts above).

Simply I don't understand why peopel don't notice that at once. And to be honest first I saw comments about it on Ancestry FB group. There some users started to doubt about those high values. So it isn't only me and first.

TardisBlue
28-04-19, 15:56
Well, searching for info about ancient DNA matches, I stumbled upon a comment (from 2014) on dna-explained (https://dna-explained.com/2014/09/30/ancient-dna-matching-a-cautionary-tale/) by someone who reported sharing a segment as large as 10.6 cM with an ancient sample (F999913 (Clovis Anzick-1)) on Gedmatch, so who knows?

Salento
28-04-19, 16:04
Ok leaving me aside, my statement about hilarious cM number for ancient matches is still true. Unless someone could give plausible explanation that this website tool creates new method of "matching" which gives you similar number of shared centrimorgans with thousand years old samples, as for some real distant cousins (look on table few posts above).

Simply I don't understand why peopel don't notice that at once. And to be honest first I saw comments about it on Ancestry FB group. So it isn't only me and first.

I value your input and contribution and I wish that you and other people who know the subject would Post more often.

Lukas
28-04-19, 16:04
Well, searching for info about ancient DNA matches, I stumbled upon a comment (from 2014) on dna-explained (https://dna-explained.com/2014/09/30/ancient-dna-matching-a-cautionary-tale/) by someone who reported sharing a segment as large as 10.6 cM with an ancient sample (F999913 (Clovis Anzick-1)) on Gedmatch, so who knows?

Very important is if someone check using standard values in one-to-one or Ancient Matches on Gedmatch. If you lower treshold you can match with many samples but it is only for fun, not for real.
Some people could have higher matches with ancients using standard values of checking, but there are exceptions, not rule as for nearly every user using this website, and not in such high amounts (high number of cM and high number of matches, only for amusement of customers).

Duarte
28-04-19, 17:16
If you refer to me, I don't make products related to ancient genomes. So it isn't my competitor.

First thing. They use for modern population distances on 99% K15 Eurogenes.
Why K15? Simply compare your single distances (for modern populations) and population ordering on the list, in mytruancestry and K15. Selling people results from free K15 is not good practice, isn't it?

Moreover I simply can't resist if someone deliberately fools people and sell them "upgrades" which shows fake cM values for "ancient matches".

If you don't agree with me please explain how it is possible to have ancient match with few thousands years sample, with cM level equaling some close cousin:) I'm waiting for your scholar opinion...Above I posted opinion of guy more experienced than me in such things.

Hi Polako.
I recognize. I am a stupid.
https://i.imgur.com/Zk9OsHV.jpg
https://i.imgur.com/CCX0oge.jpg

But, as said Salento, your highness do not needed to offend everybody. It would suffice offend me directly :)
Nice to see that you edited your offensive post.
Congratulations by this act of nobility.
Now, enjoy, and dislike all my posts until my prestige seems China’s flag.
All red :)

Angela
28-04-19, 17:19
Let's separate out the two major "types" of analysis offered.

One is general similarity to ancient samples.

From what I've read here and on other sites, the results are close to what could be obtained if one used G25?

Does Eurogenes charge for access to it?


I haven't paid any money for mytrueancestry, don't know what it costs. Is it extortionate for the service of running something we could run ourselves?


The second "service" is for what I assume is IBD analysis? If that's the case, looking at the results posted above, they are much too high, even if they are totals of many smaller segments.

I think the thing to do, if you've paid for the service, is write to them asking for an explanation.


Just generally speaking, Ralph and Coop were able to track segments back to 2300 BC, but they were very small.

https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555

" Our simulations showed that we have good power to detect long IBD blocks (probability of detection 50% for blocks longer than 2 cM, rising to 98% for blocks longer than 4 cM), and a low false positive rate (discussed further in the Materials and Methods (https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#s4)section). "

Unless they have a good explanation, this is very amateur stuff, and they should quit marketing it as IBD analysis.

I don't care who MLukas is, but if he doesn't stop insulting people he's going to be out of here shortly.

Given his aggressive, boorish behavior, he could very well be Eurogenes, but it's immaterial.

matty74
28-04-19, 18:37
I'm far from an expert on the subject material but this MLukas dude seems to have a lot invested in this topic. What are his qualifications? I'm just curious

zanipolo
28-04-19, 19:50
Eurogenes charge $20 to obtain your G25
This was the charge late last year

Lukas
28-04-19, 20:05
I'm far from an expert on the subject material but this MLukas dude seems to have a lot invested in this topic. What are his qualifications? I'm just curious

Basically Angela post earlier proves what I said. And my posts are related to her second part.
I'm leaving this discussion, leaving also you with my opinions and what is quoted below. Now you can rethink a little or not. It's up to you.

And sorry if someone feels like Duarte. But I don't call him that in my post. What was edited was related to my guess who is real author of this service, but later I decided to remove it. Just it.




https://www.eupedia.com/forum/threads/38222-Mytrueancestry-com?p=574332&viewfull=1#post574332

The second "service" is for what I assume is IBD analysis? If that's the case, looking at the results posted above, they are much too high, even if they are totals of many smaller segments.

I think the thing to do, if you've paid for the service, is write to them asking for an explanation.


Just generally speaking, Ralph and Coop were able to track segments back to 2300 BC, but they were very small.

https://journals.plos.org/plosbiolog...l.pbio.1001555 (https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555)

" Our simulations showed that we have good power to detect long IBD blocks (probability of detection 50% for blocks longer than 2 cM, rising to 98% for blocks longer than 4 cM), and a low false positive rate (discussed further in the Materials and Methods (https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001555#s4)section). "

Unless they have a good explanation, this is very amateur stuff, and they should quit marketing it as IBD analysis.

Regio X
28-04-19, 20:18
It really seems odd.
I prepared a text to post here, but people with similar arguments did it before me. Better this way. :)

@Jovialis
With your AncestryDNA, your longest block shared with RISE397, from Bronze Age Armenia, would have 10.58 cM. The GedMatch kit of RISE397 is supposedly M497255 (https://www.eupedia.com/forum/threads/34338-GEDmatch-list-of-ancient-samples-with-kit-numbers).
Could you try a One-to-one at GedMatch, for comparison?
Thanks in advance.

matty74
28-04-19, 20:20
Are these results more of a case of shared ethnicity or genetic affinity vs actual ancestry?

matty74
28-04-19, 20:23
I will look at this and perhaps try it out and compare.

http://www.lm-genetics.ovh/

Angela
28-04-19, 20:53
I don't do this sort of thing so I have no records for the ancient samples.

Does anyone have a link for a place where the gedmatch kit numbers are listed for the ancient samples not only by number but by place, i.e. Szolad, Collegno, Illyrian?

Duarte
28-04-19, 21:24
I don't do this sort of thing so I have no records for the ancient samples.

Does anyone have a link for a place where the gedmatch kit numbers are listed for the ancient samples not only by number but by place, i.e. Szolad, Collegno, Illyrian?

I do not know, but maybe this can help you, Angela:

https://umap.openstreetmap.fr/en/map/ancient-human-dna_41837#6/51.000/2.000

And this too:


GEDmatch, list of ancient samples with kit numbers.



Here are kit numbers of ancient samples on Gedmatch, from my database. Please post kits with description of samples, and all you know about these samples.

Sorry, I didn't have time to put it in a coherent database.



M825671 I1293 Iran Mesolithic [9100-8600 BC] HV2 J2a-M410>CTS1085


M595455 I1670 Iran Chalcolithic [4839-4617 BC] U3a'c -


M902476 I1662 Iran Chalcolithic [4831-4612 BC] K1a12a J2a-M410>PF5008


M155294 I1674 Iran Chalcolithic [3972-3800 BC] I1c G1-M342>GG372


M873184 I1665 Iran Chalcolithic [3956-3796 BC] U7a -


M381564 F38 Iran EIA [971-832 BC] N1a3a R1b-Z2103>L584>Y23838


T637158 I1955 Iran Late Medieval [1430–1485 AD] U1a1 -





M417230 I1407 Armenia Chalcolithic [4350-3700 BC] H L1a-M27


M133098 I1409 Armenia Chalcolithic [4229-3985 BC] U4a -


M162111 I1632 Armenia Chalcolithic [4230-4000 BC] K1a8 L1a-M27


M734029 I1634 Armenia Chalcolithic [4330-4060 BC] H2a1 L1a-M27


M731608 I1633 Armenia EBA [2619-2410 BC] H1u -


M340653 I1635 Armenia EBA [2619-2465 BC] X2f R1b-M343>L389>V1636


M487536 RISE413 Armenia MBA [1906-1698 BC] T2c1f R1b-M343>L389>P297


M124777 RISE416 Armenia MBA [1643-1445 BC] K1a17a E-M84


M575241 RISE423 Armenia MBA [1402-1211 BC] T2a E-M84>CTS1096 (Y5412-, Y14899-, PF6751-)


M578721 RISE408 Armenia LBA [1209-1009 BC] I5c J2b-M102>L283>CTS3681


M263493 RISE412 Armenia LBA [1193-945 BC] U4c1a -


M062682 RISE396 Armenia LBA [1192-937 BC] H6b -


M497255 RISE397 Armenia LBA [1048-855 BC] T1a2 R1b-Z2103>Z2106>BY3296





M471006 I1705 Jordan EBA [2198-1966 BC] H14a J1-P58>Z2324


M682666 I1730 Jordan EBA [2489-2299 BC] R0a1a J2b-M205>PF7331





M987765 Tep001 Anatolia Early Neolithic [7014 BC] K1a n/a


M830273 Tep003 Anatolia Early Neolithic [7174 BC] N1b1a G2a-P287>P15>PF3159


M300627 Kum4 Anatolia EBA [3500–2800 BC] n/a -





M733797 RISE109 Unetice EBA Poland [1954-1772 BC] U4 -


M453254 RISE154 Unetice EBA Poland [1925-1765 BC] K1a4a1 -


M239638 RISE586 Unetice EBA Czech Republic [?] K1b1a -


M484113 RISE139 Unetice Poland [2135-1923 BC] U2e1f1 n/a


M069028 RISE145 Unetice Poland [2188-1958 BC] H6a1b -





M483824 RISE598 Lithuania LBA [908-485 BC] H2a2 R1a-L62>M417





M669778 RISE1 Corded Ware Poland [2865-2578 BC] K1b1a1 R1b-M343>L754


M191719 RISE431 Corded Ware Proto-Unetice Poland [2286-2048 BC] T2e R1a-M417





M631469 RISE349 Hungary MBA [2034-1748 BC] T2b3 -


M375165 RISE373 Maros Hungary [1886-1696 BC] K1a2a -


M974598 RISE374 Maros Hungary [1866-1619 BC] T2 G2a-P287>P15>PF3177





M130094 RISE61 Battle Axe Denmark [2650-2300 BC] J1c4 R1a-M417>Z284>CTS8401





M370663 I0419 Potapovka [2200-1900 BC] U2e1h R1a-M417>Z93


M630274 I0432 Poltavka outlier [2925-2536 BC] U5a1c R1a-M417>Z94





M214301 RISE595 Montenegro LBA [?] U5a2 -


M836655 RISE596 Montenegro IA [?] X1'2'3 -





M030961 K8 Bulgaria IA [450-400 BC] n/a -


M212372 P192-1 Bulgaria IA [800-500 BC] U3b E-M78>Z1919


M540478 T2G2 Bulgaria IA [850-700 BC] HV(16311) -


M777769 V2 Bulgaria LBA [1500-1100 BC] n/a -





T699825


T135721


T319214








Европа


M040853 Костенки-14 -объединение старого и нового сиквенса


M384220 GoyetQ116-1


M561778 Vestonice16


M225927 el Miron


M236020 Villabruna (WHG) геномы отсюда





M276583 la Brana (WHG) - объединение с новым сиквенсом


M645731 I0017-Motala12 - объединение с новым сиквенсом


M325047 I1507-KO1 (HungaryWHG) - объединение с новым сиквенсом


M600205 Bichon





Африка


M284914 Mota1





EHG и хвалынцы


M643041 I0061 OleniyOstrov - объединение с новым сиквенсом


M218547 I0124 Samara EHG


M340431 I0122 Khvalynsk


M737081 Khvalynsk EHG merged (I0122+I0124+I0433)





M925976 AfontovaGora3+AfontovaGora2





Иран и Ближний Восток -от мезолита до бронзового века (тема):


По одному наиболее качественно прочитанному от каждой группы (натуфийцев объединил, итоговый геном процентов на 80 принадлежит I1072. Hotu загружать не стал, слишком плохо прочитан).





Natufian_merged M041601


I0867-LevantN M115616


I1706-LevantBA M291439


I1290-IranN M967114


I1671-IranLN M937770


I1661-IranChL M124870


I1631-ArmeniaChL M926386


I1658-ArmeniaEBA M536324


I1656-ArmeniaMLBA M182163


I1584-AnatolianChL M091434





M677694 Satsurblia CHG


M603839 M551062 Kotias CHG





Неолит (северо-западная Анатолия):


M897077 I0707 Anatolian EF


M936428 I0709 Anatolian EF


M754279 I0746 Anatolian EF


M411713 I1583 Anatolian EF





Европейский неолит


M572125 I0054 LBK - объединение с новым сиквенсом


M512608 I0100 LBK - объединение с новым сиквенсом


M226800 I0172 EsperstedtMN - объединение с новым сиквенсом


M405327 I1506-NE1 (HungaryEN) - объединение с новым сиквенсом


M923528 I1496-NE6 (HungaryEN) - объединение с новым сиквенсом


M249240 I1495-NE7 (HungaryEN) - объединение с новым сиквенсом


M261272 I1497 CO1 (Hungary MN) - объединение с новым сиквенсом


M641265 I0410 SpainEN - объединение с новым сиквенсом


M471235 I0412 SpainEN - объединение с новым сиквенсом


M815035 I0406 SpainMN - объединение с новым сиквенсом


M979495 I0408 SpainMN - объединение с новым сиквенсом


M547763 I1300 Spain Chalcolithic


M849224 ATP2


M681225 I1502 BR1


M427312 Ballinahatty IrelandNE


M232268 (Rathlin1 IrelandBA)





Шнуровики, ККК и далее


MM107790 I0118 Alberstedt LNBA - объединение с новым сиквенсом


M324645 I0112 BellBeaker - объединение с новым сиквенсом


M224345 I0103 Corded Ware Germany - объединение с новым сиквенсом


M348611 I0104 Corded Ware Germany - объединение с новым сиквенсом


M313201 I0099 HalberstadtLNBA - объединение с новым сиквенсом


M671253 RISE71_Nordic_LN


M370010 Unetice I0047


M425717 I0116 Unetice


M588222 I0164 Unetice


M913021 RISE00_Corded_Estonia





Ямная, Афанасьевская


M828784 RISE511_Afanasyevo


M828815 RISE552_Yamnaya


M655536 I0231 Yamnaya - объединение с новым сиквенсом


M343758 I0443 Yamnaya - объединение с новым сиквенсом


M766878 I0440 Poltavka





Синташтинская, Срубная, Андроновская


M690970 RISE386_Sintashta


M277797 RISE395_Sintashta


M472767 I0232_Srubnaya


M217196 I0430 Srubnaya


M608028 RISE505_Andronovo





M348213 I0247-ScythianIA





Южный Кавказ, бронза


M691697 RISE407_Armenian_LBA


M930063 RISE423_Armenian_MBA





Не палеоДНК:


M116026 RusPinega1


M143348 RusPinega17


M462211 RusPinega20


M515902 RusPinega9


M482183 Saami1


M564203 Saami10


M077607 SaamiKola5


M109244 SaamiKola25



Altai Neanderthal
Denisova Cave, Siberia
F999902
F


50,000 years




Denisova
Denisova Cave, Siberia
F999903
F


30,000 years




Palaeo-Eskimo
Qeqertarsuaq, Greenland
F999906
M
Q1a
D2a1
4,000 years
Palaeo-Eskimo 2000 BC DNA


Clovis-Anzick-1
Montana, North America
F999919
M
Q-Z780
D4h3a
12,500 years
Matches Living people.


Mal’ta
South - Central Siberia
F999914
M
R
U
24,000 years
Matches Living people on X Chromosome.


La Braña-Arintero
León, Spain
F999915
M
C-V183
U5b2c1
7,000 years
Analyzing La Braña-Arintero Ancient DNA


Motala-12
Östergötland, Sweden
F999917
M
I-L460
U2e1
7,000 years
My Analysis of Motala-12 ancient DNA


LBK
Stuttgart, Germany
F999916
F

T2c2
7,500 years
Matches Living people


Loschbour
Loschbour, Luxembourg
F999918
M
I-L460
U5b1a
8,000 years
Matches Living people


Ajvide58
Sweden
F999924
M
I-CTS772
U4d
5000 years
Ajvide58 DNA Analysis


Gökhem2
Sweden
F999934
F

H1c
5000 years
Gökhem2 Ancient DNA Analysis


Hinxton-2
Cambridgshire, UK
F999921
F

H2a2b1
1300 years
Hinxton-2 Analysis


Hinxton-3
Cambridgshire, UK
F999922
F

K1a4a1a2b
1300 years
Hinxton-3 Analysis


Hinxton-4
Cambridgshire, UK
F999925
M
R-DF25
H1ag1
2000 years
Hinxton-4 has X-Matches with living people


Hinxton-5
Cambridgshire, UK
F999926
F

H2a2a1
1300 years
Hinxton5 Ancient DNA Analysis


KO1
Tiszaszőlős-Domaháza, Hungary
F999931
M
I-L68
R3
5650-5780 cal BC
Analysis of Neolithic KO1 genome


NE1
Polgár-Ferenci-hát, Hungary
F999937
F

U5b2c
5070-5310 cal BC
Ancient NE1 Matches living people


NE5
Kompolt - Kigyósér, Hungary
F999927
M
C-F3393
J1c
4990-5210 cal BC
Ancient Hungarian Genome NE5 Analysis


NE6
Apc-Berekalja I., Hungary
F999932
M
C-P255
K1a3a3
4950-5300 cal BC
Analysis of Hungarian genome-NE6


NE7
Apc-Berekalja I., Hungary
F999928
M
I-L1228
N1a
4360-4490 cal BC
Ancient Hungarian genome - NE7


CO1
Apc-Berekalja I., Hungary
F999930
F

H
2700-2900 cal BC
Analysis of Copper age genome CO1


BR2
Ludas-Varjú-dűlő, Hungary
F999933
M
J-M67
K1a1a
1110-1270 cal BC
Ancient BR2 matches living people


IR1
Ludas-Varjú-dűlő, Hungary
F999929
M
N-M231
G2a1
830-980 cal BC
Ancient Hungarian genome - IR1


Ust'-Ishim
Ust'-Ishim, Siberia
F999935
M
K-M526
R
45,000 years
Ust'-Ishim matches with living people!


Kostenki14
European Russia
F999936
M
C-V199
U2
38,700-36,200 years
Kostenki14 Ancient DNA Analysis


RISE00
Sope, Estonia
F999955
F

H5a1
~2000 years




RISE94
Viby, Sweden
F999956
M
K-M1221
K1a2a
4025 years
RISE94 has matches with living people


RISE97
Fredriksberg, Sweden
F999945

CT-Y1580
K2a5
3590 years




RISE98
L Beddinge 56, Sweden
F999941
M
R-M405
K1b1a
3736 years
RISE98 has matches with living people


RISE150
Przeclawice, Poland
F999948


U5a1b1
3469 years
RISE150 has matches with living people


RISE174
Oxie 7, Sweden
F999943


W1
1521 years
RISE174 has matches with living people


RISE395
Bol'shekaraganskii, Russia
F999949
F

U2e1
3540 years
RISE395 has matches with living people


RISE479
Erd 4, Hungary
F999944
M
I-L1228
T2b
~2000 years




RISE493
Sabinka 2, Russia
F999950
M
Q-L712
C4a1c
3214 years
RISE493 has matches with living people


RISE495
Arban 1, Russia, Karasuk, BA
F999958
M
R-F3105
D4j1





RISE496
Arban 1, Russia
F999959
F

U5a1a2a
3070 years

Not Found


RISE497
Arban 1, Russia
F999957

F-P142
A2f2
~2000 years
RISE497 has matches with living people
Not Found


RISE499
Bystrovka, Russia
F999952
F

H5a1
~2000 years




RISE500
Kytmanovo, Russia
F999947
F

U4d1
~2000 years

Not found


RISE502
Bystrovka, Russia
F999960
F

U5a1d
3140 years

Not found


RISE503
Kytmanovo, Russia
F999961


U2e2
3328 years

Not found


RISE504
Kytmanovo, Russia
F999962
M
J-CTS3732
C4a1d
1208 years

Not found


RISE505
Kytmanovo, Russia
F999953


U4a1b
3391 years
RISE505 has matches with living people
Not found


RISE509
Bateni, Russia
F999942
F

T2c
4186 years

Not found


RISE511
Bateni, Russia
F999967
F

J2a2a
4224 years

Not found


RISE523
Kapova cave, Russia
F999966


G2a1
3192 years

Not found


RISE548
Temrta IV, Russia
F999968
M
R-L23
U4
~2000 years




RISE552
Ulan IV, Russia
F999946
M
I-S12195
T2a1a
3940 years
RISE552 has matches with living people


RISE569
Brandysek, Czech Republic
F999954


H1af2
~2000 years




RISE577
Velke Prilepy, Czech Republic
F999951


T2b
~2000 years




RISE601
Verh-Uimon, Russia
F999969
M

M8a1
~2000 years




RISE602
Sary-Bel, Russia
F999965
M
J-M410
C4
~2000 years




Bot15
Rio Doce, Minas Gerais, Brazil
F999963
M
C-PH3092
B4a1a1a
~1600 AD




Bot17
Rio Doce, Minas Gerais, Brazil
F999964
M
C-Z31878
B4a1a1
~1600 AD




Kennewick Man
Kennewick, Washington state, USA
F999970
M
Q-M199
X2a
8358 years











I0795 KAR6 7076 ± 90 years old ..........central Germany ....Gedmatch= M671535





I0797 KAR16a 7087 ± 725 years old..........central Germany ...Gedmatch = M789703





I1707 AG83 9573 ± 39 years old ............Ain Ghazal Jordan....Gedmatch = M632231








43000 Ust'-Ishim 35


-35000 Kostenki14 36


-22000 Mal'ta 14


-2000 Palaeo-Eskimo 6


400 Bot15 Rio Doce/Brazil 63





-11200 Satsurblia CHG M677694


-7700 Kotias CHG M603839


Kotias CHG M411747





-5600 Samara/Russia I0124 EHG M218547


Khvalynsk I0122 EHG M340431


Khvalynsk I0122+I0124+I0433 EHG M737081


-5250 Karelian i0061 EHG M652848


-6000 Loschbour WEHG WEHG 18


-5700 KO1 WEHG? WEHG? M325047


-5000 La Braña WEHG WEHG M276583


-3000 Ajvide58 WEHG WEHG 24





-5714 I0017 Motala12/Suede SHG M645731


-5000 Motala (Suède) SHG SHG 17








-6200 I0707 Anatolian EF M897077


I0709 Anatolian EF M936428


I0746 Anatolian EF M754279


I1583 Anatolian EF M411713








-5100 I0410 Troc3/Espagne neolithique M641265


-5260 I0412 Troc5/Espagne neolithique M471235


-5140 I0054 LBK Néolithique M572125


-5500 LBK Stuttgart Neolithique 16


-5000 I0100 Halberstadt/Germany Neolithic M512608


-5150 NE1 ALP Neolithique M405327


-5150 NE5 late ALP Neolithique 27


-5150 NE6 LBK Neolithique M923528


-4400 NE7 Lengyel Neolithique M249240


-2800 CO1 Baden Neolithique M261272








-3000 Gokhem2 Neolithique farmer Neolithique 34


-3220 I0172 EsperstedtGermany MN M226800


-3750 I0406 La Mina/Espagne MN M815035


-3750 I0408 La Mina/Espagne MN M979495


I1300 Spain Chalcolithic M547763


-3000 ATP2 Spain M849224


I1502 EBA Hungary M681225





-3000 I0443 Yamnaya Yamnaya M343758


I0231 Yamnaya Yamnaya M655536


-2496 RISE 552 Ulan IV Yamnaya M828815


-2700 I0440 Poltavka Yamnaya M766878








2500 I0103 Espersted/Germnay Cordé M224345


2410 I0104 Espersted/Germnay Cordé M348611


-2500 RISE94 Viby/Suède Cordé/Battle Axe F999956


RISE00 Sope/Estonie Cordé M913021


-2400 I0118 Albertsdedt/Germany LN M107790


I0099 Halberstadt LNBA M313201


-2250 I0112 BBC M324645


-2153 Rise 98 L Bedding/Sweden Battle/Nordic F999941


-2109 rise71 Danemark Nordic LN M671253


-1950 RISE97 Estonie Nordic LN F999945


I0116 Unetice M425717


I0164 Unetice M588222


-1980 I0047 Germany Unetice M370010


-1789 Rise 150 Pologne Unetice F999948


Rise577 Czech Unetice F999951


-1500 Rise 479 Vatya/Hungary Vatya F999944


-1477 Rise493 Sabinka/Russia Karasuk F999950


-2000 RISE386 Bulanovo Sintashta M690970


-1858 RISE 395 Bol'Shekaragans Sintashta M277797


-1500 I0430 Srubnaya Russie M217196


-1500 I0232 Srubnaya Russie M472767


-2782 RISE509 Beteni/Russia Afanasievo F999942


Rise 511 Bateni/Russia Afanasievo M828784


-1700 RISE505 Kytmanovo Andronovo M608028


-300 I0247 Scythian Russie M348213


-1200 BR2 Kyjatice Bronze 33


-1070 Rise 496 Arban/Russia 59


-1060 I0099 Halbertsadt/Germany LBA M344778


-1000 Rise500 Kytmanovo Russia 47


-900 IR1 Mezocsat Fer 29


-519 Rise 174 Iron Age Sweden F999943


0 Hinxton4 Fer 25


0 Rise569 Brandysek Czech 54


700 Hinxton2 Anglo-Saxon 21


700 Hinxton3 Anglo-Saxon 22


700 Hinxton5 Anglo-Saxon 26


RISE407 Armenia M691697


RISE423 Armenia M930063





I0806 Bell Beaker, Quedlinburg, Germany (2431-2150 BC)


Y-DNA Haplogroup: R1b1a1a2a1a2a-DF27


GEDmatch Kit Number: T253390





RISE563 Bell Beaker, Osterhofen-Altenmarkt, Germany


Y-DNA Haplogroup: R1b1a1a2a1a2b-U152


GEDmatch Kit Number: T644357





Dnieper-Donets


Dnieper-Donets


Dnieper-Donets





From Tomanable


M343758 / Yamnaya I0443 / 3300-2700 BC


M655536 / Yamnaya I0231 / 2910-2875 BC


M828815 / Yamnaya RISE552 / 2849-2146 BC


F999968 / Yamnaya RISE548 / not reported





M828784 / Afanasievo RISE511 / 2909-2679 BC


F999942 / Afanasievo RISE509 / 2887-2677 BC





M630274 / Poltavka I0432 / 2925-2536 BC


M766878 / Poltavka I0440 / 2885-2665 BC





F999946 / Catacomb RISE552 / 2849-2146 BC





M370663 / Potapovka I0419 / 2200-1900 BC





M608028 / Andronovo RISE505 / 1746-1626 BC


F999961 / Andronovo RISE503 / 1727-1511 BC


F999947 / Andronovo RISE500 / not reported





M690970 / Sintashta RISE386 / 2298-2045 BC


M277797 / Sintashta RISE395 / 1960-1756 BC





M235073 / Srubnaya I0354 / 2016-1692 BC


M472767 / Srubnaya I0232 / 1850-1200 BC


M217196 / Srubnaya I0430 / 1850-1600 BC


M328175 / Srubnaya I0423 / 1850-1200 BC





Z378359 / Trzciniec PL_N17 / 1953-1880 BC




Czechs 2kya


Kit F999954


Kit F999951





Ancient Polish


RISE145 (Poland, 2188-1958 BC, Unetice culture) - GEDmatch M069028


RISE139 (Poland, 2135-1923 BC, Unetice culture) - GEDmatch M484113


PL_N17 (Poland, 1953-1880 BC, Early Bronze Age) - GEDmatch Z378359


RISE598 (Lithuania, 908-485 BC, Late Bronze Age) - GEDmatch M483824




M070872 Kowalewko_22 , 100-300 AD
Very poor quality


M218986 Kowalewko_51 looks partly biased
a little better






M279138 Niemcza_18 ???, Niemcza 900-1000 AD
very poor






M518184 Mas_5, Maslomecz 200-400AD
very poor






T533353 mar7, Markowice 1000-1200AD
a bit better






T855386 Kow_26, biased but trend is very NW-Euro
very poor






Sowinki SI 21 19 1000AD-1100AD



Gniezno GO 2 2 1000AD-1200AD



Łegowo LO 9 8 1000AD-1200AD























T457572, Vasilyevka 3, Ukraine Mesolithic






Latvia M001884, HG1, low quality



Latvia, Zvejnieki , R1b1a1a, Z229669, HG3, 7kya






Latvian, MN1, T332765, Zvej26







Latvian, LN1, T400485, Zvej28















Good reference for some samples:
http://arshba.ru/ancient-western-eurasian-dna-of-the-copper-and-bronze-ages-t1147.html

Dibran
28-04-19, 21:55
My results. Deep matches comes out way more accurate since the Roman falls off. Looks like we’re roman like but dna matches show Thracian and Illyrian.
https://i.postimg.cc/50Qqpx4G/BA519-D0-B-279-A-4694-87-C4-407-E045-B693-D.jpg
https://i.postimg.cc/SR0LvwjK/4639408-A-2-E85-4-C3-B-B991-69-F25-B7-D2-E17.jpg
https://i.postimg.cc/tJhdQ2VN/1-DCF1008-92-CE-4-DBA-9-A13-E86968-A35974.jpg

Angela
28-04-19, 23:37
I do not know, but maybe this can help you, Angela:

https://umap.openstreetmap.fr/en/map/ancient-human-dna_41837#6/51.000/2.000

And this too:

Thanks very much, Duarte. The only ones I'm missing now in which I'm interested are the Szolad samples. If anyone knows where I can get them, I'd appreciate it.

Looking at the hundreds and hundreds of samples, it would take me a week to run each sample and record my scores. It would definitely be worth it to me to pay a company like mytrueancestry.com to do it for me, so long as it wasn't extortionate. I'd say add a good 30.00 to the 20.00 fee Eurogenes charges, and it would be a fair price.

Regio X
29-04-19, 01:29
Well, I didn't buy the feature, so I don't know how much I would supposedly share with some ancients. Still, out of curiosity, I decided to compare my kit in Genesis with the Illyrian 1200 BC (kit SZ6386770), my closest archaeogenetic match according to MyTrueAncestry.

Setting
Minimum segment cM to be included in total = 1.0 cM

Results - 23andMe v4
Largest segment = 2.1 cM
Total Half-Match segments (HIR) = 2.1 cM (0.059 Pct)
1 shared segments found for this comparison.
286055 SNPs used for this comparison.
53.596 Pct SNPs are full identical

Results - FTDNA
Largest segment = 1.3 cM
Total Half-Match segments (HIR) = 2.5 cM (0.069 Pct)
2 shared segments found for this comparison.
288405 SNPs used for this comparison.
54.641 Pct SNPs are full identical

Regio X
29-04-19, 02:15
ED: Duarte made a better job below.

Salento
29-04-19, 02:21
Well, I didn't buy the feature, so I don't know how much I would supposedly share with some ancients. Still, out of curiosity, I decided to compare my kit in Genesis with the Illyrian 1200 BC (kit SZ6386770), my closest archaeogenetic match according to MyTrueAncestry.

Setting
Minimum segment cM to be included in total = 1.0 cM

Results - 23andMe v4
Largest segment = 2.1 cM
Total Half-Match segments (HIR) = 2.1 cM (0.059 Pct)
1 shared segments found for this comparison.
286055 SNPs used for this comparison.
53.596 Pct SNPs are full identical

Results - FTDNA
Largest segment = 1.3 cM
Total Half-Match segments (HIR) = 2.5 cM (0.069 Pct)
2 shared segments found for this comparison.
288405 SNPs used for this comparison.
54.641 Pct SNPs are full identical

Assuming is the same 1200 BC Illyrian.
Full Unredacted Version:


https://i.imgur.com/t9gG6wY.jpg

Regio X
29-04-19, 02:23
@Jovialis
With your AncestryDNA, your longest block shared with RISE397, from Bronze Age Armenia, would have 10.58 cM. The GedMatch kit of RISE397 is supposedly M497255 (https://www.eupedia.com/forum/threads/34338-GEDmatch-list-of-ancient-samples-with-kit-numbers).
Could you try a One-to-one at GedMatch, for comparison?
Thanks in advance.I just used One-to-many DNA Comparison from GedMatch and not a single one individual showed up as a M497255 match, even selecting the threshold of the largest segment as 3 cM.

Curiously, at Genesis some Illyrian 1200 BC matches showed up.

Regio X
29-04-19, 02:26
Assuming is the same 1200 BC Illyrian.
Full Unredacted Version:


https://i.imgur.com/t9gG6wY.jpgOk. Now please open Genesis and check your kit against this very Illyrian 1200 BC (kit SZ6386770) using One-to-one. The idea is to compare the results of MyTrueAncestry and Genesis-GedMatch's.

Duarte
29-04-19, 02:29
Thanks very much, Duarte. The only ones I'm missing now in which I'm interested are the Szolad samples. If anyone knows where I can get them, I'd appreciate it.

Looking at the hundreds and hundreds of samples, it would take me a week to run each sample and record my scores. It would definitely be worth it to me to pay a company like mytrueancestry.com to do it for me, so long as it wasn't extortionate. I'd say add a good 30.00 to the 20.00 fee Eurogenes charges, and it would be a fair price.

Szólád individuals, Hungary 6th century AD

Kit Number: Z710290 (144,254 SNPs)
Name: SZ1
1 Bulgarian @ 7.056118
1 Hungarian_Budapest + Italian_Tuscan + Sicilian_Center + Tatar-Lithuanian @ 3.165586

Kit Number: Z206864 (141,022 SNPs)
Name: SZ2
1 Swede_Saami @ 5.016747
1 Irish + Irish + Lithuanian + Swede_Saami @ 2.069724

Kit Number: Z151393 (144,387 SNPs)
Name: SZ3
1 German-Volga @ 5.759760
1 English_Kent_GBR + French + Frisian + Romanian @ 2.896801

Kit Number: Z298465 (144,323 SNPs)
Name: SZ4
1 Norwegian_East @ 2.850477
1 Icelandic + Kashub + Scottish_Argyll_Bute_GBR + Welsh @ 1.751419

Kit Number: Z878724 (6,535 SNPs)
Name: SZ6
1 Montenegrian @ 7.069643
1 French_South + Iraqi_Jew + Kashub + Pole @ 3.289279

Kit Number: Z855720 (140,771 SNPs)
Name: SZ5
1 German-Volga @ 4.005778
1 Icelandic + Icelandic + Maltese + Swede @ 1.673600

Kit Number: Z117741 (94,510 SNPs)
Name: SZ7
1 North_German @ 5.064991
1 Frisian + Irish + Moksha + Slovenian @ 2.549737

Kit Number: Z560831 (23,774 SNPs)
Name: SZ8
1 Dutch @ 7.236287
1 Basque_French + Kuban_cossack + Lithuanian + Tajik_Pomiri_Rushan @ 5.783740

Kit Number: Z891841 (103,519 SNPs)
Name: SZ9
1 Icelandic @ 3.325612
1 Basque_French + Latvian + Russian_Center + Scottish_Argyll_Bute_GBR @ 2.479438

Kit Number: Z589316 (144,121 SNPs)
Name: SZ11
1 Irish @ 3.262401
1 Frisian + Irish + North_German + Scottish_Argyll_Bute_GBR @ 1.573416

Kit Number: Z862010 (64,600 SNPs)
Name: SZ12
1 Austrian @ 3.794653
1 Croat + Frisian + Frisian + Kashub @ 1.542849

Kit Number: Z236800 (103,610 SNPs)
Name: SZ13
1 Dutch @ 3.986703
1 Irish + Irish + Scottish_Argyll_Bute_GBR + Swede_Saami @ 2.550477

Kit Number: Z200736 (43,914 SNPs)
Name: SZ14
1 Irish @ 4.603542
1 Azov_Greek + Basque_French + Icelandic + Latvian @ 3.754672

Kit Number: Z253968 (144,267 SNPs)
Name: SZ15
1 Dutch @ 4.185629
1 Icelandic + Macedonian + Norwegian_West + Norwegian_West @ 2.757054

Kit Number: Z054110 (81,309 SNPs)
Name: SZ16
1 Swede_Saami @ 4.861366
1 Belgian + Frisian + Moksha + Swede_Saami @ 2.455374

Kit Number: Z019700 (90,500 SNPs)
Name: SZ18
1 German-Volga @ 7.772106
1 Assyrian_Iraqi + Irish + Latvian + Portugese @ 1.117310

Kit Number: Z886825 (1,322 SNPs)
Name: SZ20
1 Icelandic @ 6.759129
1 Orcadian + Orcadian + Orcadian + Tatar_Mishar @ 4.864956

Kit Number: Z947904 (96,401 SNPs)
Name: SZ19
1 Italian_Abruzzo @ 7.377185
1 Greek_Macedonia + Sardinian + Sicilian_Center + Sicilian_Center @ 3.155044

Kit Number: Z569816 (87,701 SNPs)
Name: SZ22
1 Dutch @ 5.217050
1 Basque_Spanish + Estonian + Latvian + Stalskoe_Kumyk @ 3.678942

Kit Number: Z530540 (90,192 SNPs)
Name: SZ23
1 German-Volga @ 3.971430
1 Greek_Smyrna + Norwegian_East + Norwegian_West + Scottish_Argyll_Bute_GBR @ 1.248870

Kit Number: Z306476 (55,527 SNPs)
Name: SZ24
1 South_German @ 3.000075
1 Bosnian + Irish + Kashub + Spanish_Valencia_IBS @ 2.063246

Kit Number: Z201314 (29,806 SNPs)
Name: SZ25
1 German_East @ 12.342562
1 Kumyk + Orcadian + Swede + Tatar_Kryashen @ 5.584211

Kit Number: Z732151 (95,631 SNPs)
Name: SZ27
1 Italian_North @ 5.959258
1 Frisian + German_East + Spanish_Pais_Vasco_IBS + Turk_Trabzon @ 2.216417

Kit Number: Z888816 (96,924 SNPs)
Name: SZ28
1 Italian_Piedmont @ 6.745403
1 Croat_BH + Kosovar + Kosovar + Sardinian @ 2.744360

Kit Number: Z298008 (56,392 SNPs)
Name: SZ30
1 CEU @ 4.990139
1 Basque_French + Finnish-East + German_East + Swede_Saami @ 2.854803

Kit Number: Z250394 (14,673 SNPs)
Name: SZ31
1 Greek_Macedonia @ 5.351642
1 Druze + Gagauz + Gagauz + Greek_Thessaly @ 4.796592

Kit Number: Z261020 (98,828 SNPs)
Name: SZ32
1 Italian_Abruzzo @ 4.228703
1 Greek_Macedonia + Greek_Phokaia + Greek_Smyrna + Spanish_Pais_Vasco_IBS @ 2.410945

Kit Number: Z629675 (855 SNPs)
Name: SZ35
1 German_East @ 37.495682
1 BedouinB + Finn + Icelandic + Mozabite @ 18.362967

Kit Number: Z961044 (139,104 SNPs)
Name: SZ36
1 Greek_Peloponnesos @ 6.068368
1 Christian_Arabs_Israel + Italian_South + Lithuanian + Sardinian @ 1.551272

Kit Number: Z450920 (46,652 SNPs)
Name: SZ37
1 Greek_Northwest @ 4.626865
1 Iraqi_Jew + Pole + Romanian + Sardinian @ 2.734642

Kit Number: Z453129 (92,775 SNPs)
Name: SZ38
1 German-Volga @ 4.628473
1 Finn_West + Maltese + Norwegian_West + Orcadian @ 2.582427

Kit Number: Z129947 (92,910 SNPs)
Name: SZ40
1 Sicilian_Agrigento @ 3.101774
1 French_Jew + Italian_South + Lebanese_Druze + Spanish_Galicia_IBS @ 1.881770

Kit Number: Z887416 (4,406 SNPs)
Name: SZ41
1 Austrian @ 9.484020
1 Finn_West + Russian-Upper-Volga + Serb_Serbia + Spanish_Baleares_IBS @ 8.337543

Kit Number: Z156535 (105,572 SNPs)
Name: SZ42
1 German-Volga @ 5.279166
1 Basque_Spanish + Frisian + Kabardin + Lithuanian @ 2.065954

Kit Number: Z817510 (144,438 SNPs)
Name: SZ43
1 Italian_Tuscan @ 4.030470
1 Greek_Macedonia + Greek_Macedonia + Sardinian + Serb_Serbia @ 1.924982

Kit Number: T331118 (144,361 SNPs)
Name: SZ44
1 Italian_North @ 6.493385
1 Assyrian_Arzni + Basque_Spanish + Estonian + South_German @ 1.942307

Kit Number: T963830 (144,360 SNPs)
Name: SZ45
1 Italian_North @ 6.465716
1 Armenian + Basque_Spanish + Kuban_cossack + North_European @ 1.924803

https://www.theapricity.com/forum/showthread.php?259299-Sz%F3l%E1d-Longobard-associated-period-cemetery-GEDmatch-results

SZ1, Bronze Age; SZ2, SZ3, SZ4, SZ5, SZ7, SZ8, SZ9, SZ11, SZ12, SZ13, SZ14, SZ15, SZ16, SZ18, SZ19, SZ22, SZ23, SZ24, SZ27B, SZ28, SZ30, SZ32, SZ36, SZ37, SZ38, SZ40, SZ42, SZ43, SZ45, Longobard, 410-600 AD; AV1, AV2, Avar(?), 540-640 AD


https://i.imgur.com/lwU40bv.jpg
Full articles. I hope that this can help you, Angela:

https://www.nature.com/articles/s41467-018-06024-4
https://doi.org/10.1038/s41467-018-06024-4

SZ1:
mtDNA: J1b
Y-DNA: R1a1a1b2a2a(Z2123)

SZ2:
mtDNA: T1a1
Y-DNA: R1b1a1a2a1a1c2b2a1b1a(L130)

SZ3:
mtDNA: H18
Y-DNA: I2a2a1b2a2(S390)

SZ4:
mtDNA: H1c9
Y-DNA: R1b1a2a1a1b(Z16)

SZ5:
mtDNA: J2b1
Y-DNA: R1b1a1a2a1a2a1b(CTS1595)

SZ7:
mtDNA: T2e
Y-DNA: I2a2a1b2a2a2(ZS20)

SZ8:
mtDNA: M5b'c

SZ9:
mtDNA: J1b1a1d

SZ11:
mtDNA: K2a3a
Y-DNA: R1b1a1a2a1a1c2b2b1a1a1(Z351)

SZ12:
mtDNA: W6
Y-DNA: I2a2a1(CTS9183)

SZ13:
mtDNA: N1b1b1
Y-DNA: I2a2a1b2a2a2(ZS20)

SZ14:
mtDNA: I3
Y-DNA: I2a2a1(CTS9183)

SZ15:
mtDNA: H1c1
Y-DNA: R1a1a1b1a3a(S200)

SZ16:
mtDNA: U4b1b
Y-DNA: R1b1a2a1a1c(Z381)

SZ18:
mtDNA: H13a1a2
Y-DNA: E1b1b1a1b2(CTS2817)

SZ19:
mtDNA: HV9c

SZ22:
mtDNA: N1b1b1
Y-DNA: I2a2a1b2a2a2(ZS20)

SZ23:
mtDNA: H13a1a2
Y-DNA: R1b1a2a1a1c(Z381)

SZ24:
mtDNA: U4b
Y-DNA: I2a2a1(CTS9183)

SZ27B:
mtDNA: N1a1a1a1
Y-DNA: R1b1a1a2a1a2(S116)

SZ28:
mtDNA: H3b5

SZ30:
mtDNA: H13a

SZ32:
mtDNA: H74

SZ36:
mtDNA: U4c2a
Y-DNA: T1a1a(PF5620)

SZ37:
mtDNA: H66a
Y-DNA: R1b1a1a2a1a2(S116)

SZ38:
mtDNA: HV0

SZ40:
mtDNA: T2

SZ42:
mtDNA: K2a6
Y-DNA: R1b1a1a2a1a2(S116)

Angela
29-04-19, 02:43
Are you referring to the kit numbers?
If so... From Genesis:
AV0: ?
AV1: PE7910098
AV2: FP8983383
Source: https://www.eupedia.com/forum/threads/36870-Avar-(in-fact-Slavic-)-Women-from-Szolad-(Hungary)-on-GEDmatch

Yes, I want to track down the kit numbers, but not these two samples, rather, the ones with which so many southern Europeans have gotten a lot of similarity; the ones Duarte posted about.

It will have to wait until tomorrow, though.

Salento
29-04-19, 04:47
Ok. Now please open Genesis and check your kit against this very Illyrian 1200 BC (kit SZ6386770) using One-to-one. The idea is to compare the results of MyTrueAncestry and Genesis-GedMatch's.

https://i.imgur.com/t9gG6wY.jpg
1200 BC Illyrian vs 2019 AD Salento :)

Largest segment = 1.2 cM

Total Half-Match segments (HIR) = 1.2 cM (0.034 Pct)

1 shared segments found for this comparison.

287564 SNPs used for this comparison.

54.213 Pct SNPs are full identical

Comparison took 0.291 seconds.
CPU time used: 0.038 cpu seconds.

https://i.imgur.com/LySHPXb.jpg

Carlos
29-04-19, 11:20
My result so high of 80.11 coincide with this man.MyTrueAncestry tells me that it belonged to the haplogroups haplogroups F-P146 and I.

https://amtdb.org/records/946 (https://amtdb.org/records/946)
RISE47



identifier
RISE47


alternative_identifiers
N 358 grave 3 skeleton 8


country
Denmark


continent
Europe


region
Scandinavia


culture
Nordic_BA


epoch
Bronze Age


group
BASC


comment
-


latitude
56.97


longitude
9.55


sex
M


site
Sebber skole


site_detail
-


mt_hg
I


ychr_hg
R1b1a1a2


year_from
-1499


year_to
-1324


date_detail
1499-1324 calBCE (3153±26 BP, OxA-28258)


bp
3153±26


c14_lab_code
OxA-28258


c14_sample_tag
True


c14_layer_tag
-


avg_coverage
-


sequence_source
<NA>


FASTA
download (https://amtdb.org/static/data/fasta/RISE47.fa)


Metadata
download


references
Allentoft et al. 2015. Population genomics of Bronze Age Eurasia. Nature, 522(7555), 167-172. (link (https://dx.doi.org/10.1038/nature14507), data (https://www.ebi.ac.uk/ena/data/view/PRJEB9021))


ychr_snps
R1:CTS2680:14424045C->T, R:L1347:22818334C->T, R1b1a:L754:22889018G->A, R1b1a:A702:10038192G->A,

Salento
29-04-19, 14:39
NG Helix + X chr
Full Unredacted:

https://i.imgur.com/cFyF2ER.jpg

Duarte
29-04-19, 14:44
Below, my best match with ancient samples, according Archaic DNA matches of GEDmatch.
It will be that Mr. mlukas think that my results, mainly the first one result, are a bullshit?

1) F999918 (Loschbour, Lux.)
Largest segment = 5.3 cM
Total of segments > 1 cM = 24.0 cM
9 matching segments

651432 SNPs used for this comparison.

Comparison took 0.18067 seconds.



Chr
Start Location
End Location
Centimorgans (cM)
SNPs


2
199,959,143
202,251,081
1.6
523






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


3
121,007,341
124,168,803
2.0
639






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


5
168,130,883
170,215,669
5.3
772






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


7
93,351,349
94,969,903
1.7
539






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


11
64,694,957
67,174,778
1.7
535


11
73,572,624
76,549,817
2.9
690






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


12
46,523,554
49,661,585
1.9
621






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


14
33,819,263
36,259,816
2.4
509






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


19
34,138,106
36,511,670
4.4
587



2) F999937 (NE1, Hungary)
Largest segment = 4.2 cM
Total of segments > 1 cM = 27.9 cM
11 matching segments

641142 SNPs used for this comparison.

Comparison took 0.24602 seconds.



Chr
Start Location
End Location
Centimorgans (cM)
SNPs


1
169,174,798
170,862,247
1.3
626







Chr
Start Location
End Location
Centimorgans (cM)
SNPs


2
162,348,971
165,446,177
2.0
522


2
168,913,845
170,340,174
3.4
513





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


3
79,268,774
85,601,270
1.6
815





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


5
141,746,135
143,033,710
2.6
514





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


6
79,513,941
82,460,020
1.2
536


6
164,686,566
166,543,907
4.2
588






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


7
8,572,785
10,482,754
3.9
639





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


8
17,456,625
18,665,612
2.6
704





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


10
115,771,517
118,305,395
3.3
586





3) F999916 (LBK, Stuttgart)
Largest segment = 3.9 cM
Total of segments > 1 cM = 19.9 cM
9 matching segments

647360 SNPs used for this comparison.

Comparison took 0.18539 seconds.



Chr
Start Location
End Location
Centimorgans (cM)
SNPs


1
96,887,637
98,992,304
1.6
893






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


2
66,153,166
67,862,763
2.2
541






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


3
48,385,378
53,971,519
1.8
915






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


5
136,514,492
141,052,063
2.9
770






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


7
139,186,936
141,179,403
2.5
565







Chr
Start Location
End Location
Centimorgans (cM)
SNPs


8
62,167,326
64,668,264
1.7
502





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


10
73,126,274
76,119,819
1.6
511






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


11
37,476,118
40,466,640
1.9
524






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


20
19,342,130
20,932,510
3.9
550






4) F999933 (BR2, Hungary)
Largest segment = 2.9 cM
Total of segments > 1 cM = 13.4 cM
6 matching segments

644040 SNPs used for this comparison.

Comparison took 0.17078 seconds.



Chr
Start Location
End Location
Centimorgans (cM)
SNPs


1
95,792,176
97,665,446
1.0
630





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


2
122,860,984
126,194,258
2.9
700





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


6
52,642,890
54,727,622
2.8
649


6
100,699,314
103,759,084
2.2
513





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


12
30,313,333
32,133,446
1.7
510






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


20
37,338,845
40,017,334
2.7
583

Regio X
29-04-19, 14:45
All interested here should read this:
https://isogg.org/wiki/Identical_by_descent


1200 BC Illyrian vs 2019 AD Salento :)
Largest segment = 1.2 cM
Total Half-Match segments (HIR) = 1.2 cM (0.034 Pct)
1 shared segments found for this comparison.
287564 SNPs used for this comparison.
54.213 Pct SNPs are full identical
Comparison took 0.291 seconds.
CPU time used: 0.038 cpu seconds.
https://i.imgur.com/LySHPXb.jpgI prefer to believe it's a misunderstanding, at the best scenario.
Still, I think they own you guys an explanation on what they're doing. The feature of similarities with ancient samples seems nice, even if it's based on K15, but I'm not really sure about this another one.

Lukas
29-04-19, 14:48
1200 BC Illyrian vs 2019 AD Salento :)

Mytruancestry

https://i.imgur.com/t9gG6wY.jpg
Gedmatch

https://i.imgur.com/LySHPXb.jpg




This is what I suggested since the begining:) So everyone can see now the true matches with those ancients.

Lukas
29-04-19, 15:14
Below, my best match with ancient samples, according Archaic DNA matches of GEDmatch.
It will be that Mr. mlukas think that my results, mainly the first one result, are a bullshit?

1

















You must find for comparison those sample which you have as matches from MTA, like Salento with Illyrian above, to check real shared segments on Gedmatch and MTA.

For some reason they don't give you Loschbour, LBK, NE1 or BR2 samples, interesting why btw.

Regio X
29-04-19, 15:22
All interested here should read this:
https://isogg.org/wiki/Identical_by_descent

This is interesting, but not sure it's enough for explaining the results:
"The companies' matching algorithms do not treat the paternal and maternal chromosomes separately. Consequently consecutive SNP results for a short segment of DNA may appear to be half-identical in two individuals when in actuality the DNA sequences are not identical because the SNPs match on opposing chromosomes or because of errors in the matching algorithms. False matches can be the result of pseudosegments (matching alleles zig-zagging backwards and forwards between the maternal side and the paternal side), compound segments and fuzzy boundaries.[5][6] For a good illustration and explanation of a pseudosegment (also known as a spurious segment, an erroneous segment or a phantom segment) see Don Worth's diagram."
(...)
"False positive matches are more likely to be seen in unphased data (phasing is the process of assigning alleles to the mother or the father.) The highest degree of accuracy is achieved by using the phased data from a two-parent/one child trio, where the error rate for phasing is only 0.01%. In the absence of trio data it is possible to phase data by inference using samples from reference populations. This is known as statistical phasing, computational phasing or algorithm-based phasing. AncestryDNA is currently the only company to phase all the customer data prior to matching. Ancestry uses a proprietary phasing algorithm known as Underdog." (...)

Apparently a bit outdated article though, 'cause Ancestry is not the only one.

From the 23andMe Ancestry Composition guide (https://www.23andme.com/en-int/ancestry-composition-guide/):
"Recall wrinkle #2 above. For each customer, we measure a set of genotypes (pairs of alleles). But what we really want is a pair of haplotypes for each chromosome. That is, we want to figure out the series of alleles present on each of your two copies of, for example, chromosome 7: one you received from your mother and one you received from your father. To do so, we first build a very large "phasing reference panel" using data from hundreds of thousands of customers. We then use Eagle (Loh et al., 2016) to phase these individuals jointly. Eagle uses sophisticated statistics and a very clever algorithm to do this." (...)

Salento
29-04-19, 15:23
This is what I suggested since the begining:) So everyone can see now the true matches with those ancients.

imho

In all fairness, since they are not involved in this debate yet, we should give them the benefit of the doubt.

If they're listening, they’re welcome to join and make their case. :)

Duarte
29-04-19, 15:54
The type of sample doesn't matter.
What matters is that:
You said:


Guys, do you really didn';t notice that?:)

This is just biggest bullshit lately on Genetic Internet...

Do you know your one-to-many list on Gematch? What is your highest match (besides close family like parents) for me about 30 cM. And Gedmatch says common ancestor was about 4.5 generation ago.

https://i.postimg.cc/0yC2j0PF/Bez-nazwy-9.png

So what the hell means if you have common 80 cM with sample from Bronze Age Jutland? (It was example from another forum, but here were also posted very high "ancient matches") How many generation ago it was? Go figurehttp://www.theapricity.com/forum/images/smilies/smile.png It is impossible and completely biased result.

https://screenshotscdn.firefoxusercontent.com/images/8fe4d8fb-7b3d-4ec7-ab3c-6f304623d26a.png


Posting it, is like posting random numbers taken from the... Nobody can defend those cM values in two post above. Unless you believe you match 3500 years old sample on the same level as 3rd cousin...

And I say that:


Below, my best match with ancient samples, according Archaic DNA matches of GEDmatch.
It will be that Mr. mlukas think that my results, mainly the first one result, are a bullshit?

1) F999918 (Loschbour, Lux.)
Largest segment = 5.3 cM
Total of segments > 1 cM = 24.0 cM
9 matching segments

651432 SNPs used for this comparison.

Comparison took 0.18067 seconds.



Chr
Start Location
End Location
Centimorgans (cM)
SNPs


2
199,959,143
202,251,081
1.6
523






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


3
121,007,341
124,168,803
2.0
639






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


5
168,130,883
170,215,669
5.3
772






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


7
93,351,349
94,969,903
1.7
539






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


11
64,694,957
67,174,778
1.7
535


11
73,572,624
76,549,817
2.9
690






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


12
46,523,554
49,661,585
1.9
621






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


14
33,819,263
36,259,816
2.4
509






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


19
34,138,106
36,511,670
4.4
587



2) F999937 (NE1, Hungary)
Largest segment = 4.2 cM
Total of segments > 1 cM = 27.9 cM
11 matching segments

641142 SNPs used for this comparison.

Comparison took 0.24602 seconds.



Chr
Start Location
End Location
Centimorgans (cM)
SNPs


1
169,174,798
170,862,247
1.3
626







Chr
Start Location
End Location
Centimorgans (cM)
SNPs


2
162,348,971
165,446,177
2.0
522


2
168,913,845
170,340,174
3.4
513





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


3
79,268,774
85,601,270
1.6
815





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


5
141,746,135
143,033,710
2.6
514





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


6
79,513,941
82,460,020
1.2
536


6
164,686,566
166,543,907
4.2
588






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


7
8,572,785
10,482,754
3.9
639





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


8
17,456,625
18,665,612
2.6
704





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


10
115,771,517
118,305,395
3.3
586





3) F999916 (LBK, Stuttgart)
Largest segment = 3.9 cM
Total of segments > 1 cM = 19.9 cM
9 matching segments

647360 SNPs used for this comparison.

Comparison took 0.18539 seconds.



Chr
Start Location
End Location
Centimorgans (cM)
SNPs


1
96,887,637
98,992,304
1.6
893






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


2
66,153,166
67,862,763
2.2
541






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


3
48,385,378
53,971,519
1.8
915






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


5
136,514,492
141,052,063
2.9
770






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


7
139,186,936
141,179,403
2.5
565







Chr
Start Location
End Location
Centimorgans (cM)
SNPs


8
62,167,326
64,668,264
1.7
502





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


10
73,126,274
76,119,819
1.6
511






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


11
37,476,118
40,466,640
1.9
524






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


20
19,342,130
20,932,510
3.9
550






4) F999933 (BR2, Hungary)
Largest segment = 2.9 cM
Total of segments > 1 cM = 13.4 cM
6 matching segments

644040 SNPs used for this comparison.

Comparison took 0.17078 seconds.



Chr
Start Location
End Location
Centimorgans (cM)
SNPs


1
95,792,176
97,665,446
1.0
630





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


2
122,860,984
126,194,258
2.9
700





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


6
52,642,890
54,727,622
2.8
649


6
100,699,314
103,759,084
2.2
513





Chr
Start Location
End Location
Centimorgans (cM)
SNPs


12
30,313,333
32,133,446
1.7
510






Chr
Start Location
End Location
Centimorgans (cM)
SNPs


20
37,338,845
40,017,334
2.7
583




Who is wrong and who is right, Mr. mlukas? :)

Jovialis
29-04-19, 17:31
It really seems odd.
I prepared a text to post here, but people with similar arguments did it before me. Better this way. :)

@Jovialis
With your AncestryDNA, your longest block shared with RISE397, from Bronze Age Armenia, would have 10.58 cM. The GedMatch kit of RISE397 is supposedly M497255 (https://www.eupedia.com/forum/threads/34338-GEDmatch-list-of-ancient-samples-with-kit-numbers).
Could you try a One-to-one at GedMatch, for comparison?
Thanks in advance.

Here is the comparison:

https://i.imgur.com/k1XQf5k.png

Angela
29-04-19, 17:40
Here is the comparison:

https://i.imgur.com/k1XQf5k.png

Jovialis, could you set it to 1? Let's see the total for any that show up.

Just generally, even on gedmatch it makes no sense for people to get such big segments with "real" ancients like Loschbour, bigger than with more proximate samples.

I'm not comfortable with this heated criticism either. It's not like the MDLP results are so great. My fits there are terrible, and I know exactly where my ancestors have been for the last 600 years. I think this is a very complicated topic, and I don't see any clear cut "winner" in terms of results.

Ed. "It says no shared segments, however chromosome 21 does seem to have a lot of green base pairs with a full match. Chromosome 21 is where it said I have the cMs with it. I'm not sure how to interpret that."

A different algorithm, I guess, but I don't know. As I said, maybe lower the threshold.

Jovialis
29-04-19, 17:40
Here is the comparison:

https://i.imgur.com/k1XQf5k.png

It says no shared segments, however chromosome 21 does seem to have a lot of green base pairs with a full match. Chromosome 21 is where it said I have the cMs with it. I'm not sure how to interpret that.

Jovialis
29-04-19, 17:56
Jovialis, could you set it to 1? Let's see the total for any that show up.

Just generally, even on gedmatch it makes no sense for people to get such big segments with "real" ancients like Loschbour, bigger than with more proximate samples.

I'm not comfortable with this heated criticism either. It's not like the MDLP results are so great. My fits there are terrible, and I know exactly where my ancestors have been for the last 600 years. I think this is a very complicated topic, and I don't see any clear cut "winner" in terms of results.

Ed. "It says no shared segments, however chromosome 21 does seem to have a lot of green base pairs with a full match. Chromosome 21 is where it said I have the cMs with it. I'm not sure how to interpret that."

A different algorithm, I guess, but I don't know. As I said, maybe lower the threshold.

Here it is with 1 cM threshold:

https://i.imgur.com/bOjSw3z.png

Salento
29-04-19, 18:02
I noticed that they don't include the X chr.

Does anybody know if Gedmatch calculates the X chr. in the standard Admixture Utilities?

EDITED:

never mind, I just looked at it, the Answer is NO.

i guess we’re all getting incomplete results when we run 23andme, Ancestry, ...

Am I wrong?

Angela
29-04-19, 18:54
Here is it is with 1 cM threshold:

https://i.imgur.com/bOjSw3z.png

Well, there you go. They're doing something different.

They should issue a white paper explaining their method.

Regio X
29-04-19, 19:53
I noticed that they don't include the X chr.
Does anybody know if Gedmatch calculates the X chr. in the standard Admixture Utilities?
EDITED:
never mind, I just looked at it, the Answer is NO.
i guess we’re all getting incomplete results when we run 23andme, Ancestry, ...
Am I wrong?There are One-to-one Autosomal and One-to-one X. You can try them both, separately.

@All
It may be also a matter of Settings. The defaults for GedMatch and Genesis seem different from each other, meaning different results? No time to try them.

Duarte
29-04-19, 20:29
There are One-to-one Autosomal and One-to-one X. You can try them both, separately.

@All
It may be also a matter of Settings. The defaults for GedMatch and Genesis seem different from each other, meaning different results? No time to try them.

I need to do a visit to Loschbour to leave some flowers on the grave :)

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 5.3 cM

Total Half-Match segments (HIR) = 224.8 cM (6.268 Pct)

140 shared segments found for this comparison.

611151 SNPs used for this comparison.

54.485 Pct SNPs are full identical

Comparison took 0.296 seconds.
CPU time used: 0.079 cpu seconds.

Ver: Mar 26 2019 01:00:34



Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



1

5,088,617

5,684,301

1.3

235



1

42,269,458

43,976,157

1.4

320



1

50,835,606

53,217,335

1.1

252



1

66,825,944

67,672,765

1.2

207



1

80,251,910

81,316,894

1.0

259



1

92,925,390

94,509,226

1.3

268



1

102,308,337

103,610,579

1.1

223



1

106,967,482

108,139,636

1.2

270



1

109,357,456

110,307,263

1.2

225



1

211,201,592

212,670,865

1.1

287



1

214,425,225

215,361,603

1.2

239



1

215,848,587

216,688,839

1.6

216



1

218,348,909

220,454,111

1.6

452



1

238,650,133

239,567,065

1.9

269







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



2

18,674

1,377,042

1.7

315



2

38,762,291

40,493,990

1.3

384



2

113,953,508

115,487,457

1.9

239



2

125,499,930

127,120,893

1.7

233



2

133,368,556

134,624,276

1.9

378



2

151,885,556

153,464,499

1.2

309



2

161,784,214

164,441,667

1.7

377



2

184,701,773

186,317,662

1.2

234



2

194,990,534

196,664,766

1.1

234



2

200,250,898

202,542,836

1.7

458



2

237,720,634

238,721,240

1.3

269







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



3

25,146,601

26,582,570

2.0

311



3

31,511,691

32,303,140

1.3

210



3

39,817,494

41,019,888

1.1

210



3

55,801,004

57,021,793

1.5

254



3

103,174,143

104,864,415

1.1

347



3

119,524,651

122,686,113

2.0

565



3

182,433,424

183,572,790

2.2

233







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



4

5,080,052

5,743,512

2.0

207



4

159,317,442

160,905,205

1.1

202







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



5

1,962,256

2,564,145

2.3

251



5

6,708,483

7,859,523

2.2

330



5

72,601,498

73,432,001

1.2

235



5

89,368,792

90,799,333

1.3

254



5

95,949,002

97,929,333

1.6

361



5

100,302,925

101,946,798

1.1

253



5

111,139,696

113,134,734

1.6

458



5

147,188,475

148,216,692

1.1

243



5

151,435,875

152,992,110

1.2

270



5

166,618,942

167,402,174

1.5

201



5

168,198,305

170,283,091

5.3

752







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



6

15,279,490

16,080,109

1.3

220



6

24,053,169

24,926,730

1.6

297



6

34,041,306

35,473,252

1.2

279



6

52,050,493

52,745,061

1.1

225



6

53,961,513

55,144,102

1.1

239



6

97,234,433

99,230,880

1.5

238



6

100,247,048

101,801,581

1.3

232



6

139,962,127

142,283,198

1.2

260



6

147,503,799

148,771,965

2.4

357



6

150,637,477

151,161,836

1.1

201







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



7

2,115,163

2,946,141

1.3

208



7

8,780,037

9,334,068

1.4

252



7

37,929,694

38,692,014

1.2

245



7

62,517,629

66,689,729

1.4

312



7

68,656,780

70,144,987

1.7

206



7

71,115,769

73,141,464

1.8

243



7

93,513,413

95,131,967

1.7

474



7

109,910,153

111,500,553

1.2

280



7

122,986,940

124,397,026

1.3

247



7

145,145,326

146,569,874

1.5

201







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



8

18,212,931

18,787,795

1.3

327



8

25,536,691

26,600,068

1.7

339



8

29,873,603

31,072,165

1.4

210



8

50,654,234

52,496,221

1.2

269



8

53,885,194

55,269,485

1.1

251



8

121,009,824

122,497,385

1.2

297







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



9

329,830

847,292

1.5

258



9

11,578,233

12,829,714

1.7

358



9

23,738,335

24,864,882

1.2

204



9

76,228,755

77,809,291

1.8

285



9

109,838,977

110,573,303

1.7

265



9

114,919,707

116,386,438

2.3

344



9

121,320,294

122,319,889

1.8

234







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



10

8,245,150

8,919,297

1.9

287



10

16,706,766

17,334,935

1.3

250



10

20,611,613

22,284,878

1.3

375



10

22,961,707

24,584,036

1.7

328



10

65,452,546

67,211,369

1.1

328



10

81,175,250

82,411,802

1.9

247



10

83,259,758

84,444,585

1.3

309



10

85,715,152

87,154,121

1.2

335



10

94,502,244

95,431,535

1.4

355



10

100,242,195

101,790,389

1.3

336



10

122,530,844

123,094,884

1.4

207







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



11

5,671,623

6,304,710

1.4

204



11

14,255,818

15,942,032

1.6

343



11

59,612,859

60,750,048

1.4

270



11

64,938,381

67,418,202

1.8

425



11

73,894,976

76,872,169

3.0

651



11

86,650,282

87,667,815

1.1

239







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



12

4,417,127

5,056,535

1.9

230



12

18,684,104

19,701,039

1.5

234



12

21,408,845

22,146,930

1.1

288



12

28,978,861

29,736,480

1.3

216



12

31,085,405

32,242,179

1.2

298



12

48,237,303

51,375,318

2.1

551



12

63,275,017

64,401,412

1.1

244



12

117,571,041

118,328,555

2.0

302



12

124,980,586

125,795,991

2.6

258







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



13

22,343,925

22,804,312

1.4

252



13

26,700,284

27,498,549

2.0

246



13

35,140,690

36,200,686

1.4

206



13

71,118,979

72,330,504

1.6

283



13

96,132,701

97,526,225

1.1

220







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



14

34,749,512

37,190,065

2.4

484



14

67,291,186

69,136,881

1.1

377



14

78,800,072

80,805,243

2.3

448



14

98,267,909

99,020,763

1.8

214







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



15

32,309,184

33,477,222

3.3

266



15

33,929,082

34,667,075

1.9

237



15

35,086,366

36,041,183

1.8

205



15

45,425,864

46,595,789

1.4

233



15

68,881,524

69,936,082

2.1

200







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



16

8,313,272

8,870,618

1.5

202



16

12,237,623

13,247,355

3.1

367



16

14,379,836

16,277,685

1.8

342



16

20,109,653

21,610,804

2.2

238



16

71,459,146

72,910,403

1.2

204



16

89,350,038

90,163,275

1.0

209







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



17

7,017,420

7,721,030

1.4

200



17

18,856,896

20,855,951

1.2

223



17

50,212,182

51,319,040

1.1

201







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



18

8,793,236

9,814,639

3.0

331



18

35,058,664

37,876,759

2.2

533



18

54,056,577

55,236,342

1.3

269







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



19

29,446,266

31,819,830

4.4

544







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



20

5,783,694

6,410,854

1.9

203



20

8,419,818

9,259,371

1.9

258



20

19,058,878

19,985,970

2.8

367



20

37,713,976

40,317,262

2.5

518







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



21

32,528,960

33,507,584

1.7

256



21

36,223,627

36,854,998

1.6

208



21

43,816,548

44,574,541

1.6

260







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



22

32,830,958

33,456,090

1.1

228



22

48,578,966

49,027,559

3.2

225

zanipolo
29-04-19, 20:41
I need to do a visit to Loschbour to leave some flowers on the grave :)

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 5.3 cM

Total Half-Match segments (HIR) = 224.8 cM (6.268 Pct)

140 shared segments found for this comparison.

611151 SNPs used for this comparison.

54.485 Pct SNPs are full identical

Comparison took 0.296 seconds.
CPU time used: 0.079 cpu seconds.

Ver: Mar 26 2019 01:00:34



Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



1

5,088,617

5,684,301

1.3

235



1

42,269,458

43,976,157

1.4

320



1

50,835,606

53,217,335

1.1

252



1

66,825,944

67,672,765

1.2

207



1

80,251,910

81,316,894

1.0

259



1

92,925,390

94,509,226

1.3

268



1

102,308,337

103,610,579

1.1

223



1

106,967,482

108,139,636

1.2

270



1

109,357,456

110,307,263

1.2

225



1

211,201,592

212,670,865

1.1

287



1

214,425,225

215,361,603

1.2

239



1

215,848,587

216,688,839

1.6

216



1

218,348,909

220,454,111

1.6

452



1

238,650,133

239,567,065

1.9

269







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



2

18,674

1,377,042

1.7

315



2

38,762,291

40,493,990

1.3

384



2

113,953,508

115,487,457

1.9

239



2

125,499,930

127,120,893

1.7

233



2

133,368,556

134,624,276

1.9

378



2

151,885,556

153,464,499

1.2

309



2

161,784,214

164,441,667

1.7

377



2

184,701,773

186,317,662

1.2

234



2

194,990,534

196,664,766

1.1

234



2

200,250,898

202,542,836

1.7

458



2

237,720,634

238,721,240

1.3

269







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



3

25,146,601

26,582,570

2.0

311



3

31,511,691

32,303,140

1.3

210



3

39,817,494

41,019,888

1.1

210



3

55,801,004

57,021,793

1.5

254



3

103,174,143

104,864,415

1.1

347



3

119,524,651

122,686,113

2.0

565



3

182,433,424

183,572,790

2.2

233







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



4

5,080,052

5,743,512

2.0

207



4

159,317,442

160,905,205

1.1

202







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



5

1,962,256

2,564,145

2.3

251



5

6,708,483

7,859,523

2.2

330



5

72,601,498

73,432,001

1.2

235



5

89,368,792

90,799,333

1.3

254



5

95,949,002

97,929,333

1.6

361



5

100,302,925

101,946,798

1.1

253



5

111,139,696

113,134,734

1.6

458



5

147,188,475

148,216,692

1.1

243



5

151,435,875

152,992,110

1.2

270



5

166,618,942

167,402,174

1.5

201



5

168,198,305

170,283,091

5.3

752







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



6

15,279,490

16,080,109

1.3

220



6

24,053,169

24,926,730

1.6

297



6

34,041,306

35,473,252

1.2

279



6

52,050,493

52,745,061

1.1

225



6

53,961,513

55,144,102

1.1

239



6

97,234,433

99,230,880

1.5

238



6

100,247,048

101,801,581

1.3

232



6

139,962,127

142,283,198

1.2

260



6

147,503,799

148,771,965

2.4

357



6

150,637,477

151,161,836

1.1

201







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



7

2,115,163

2,946,141

1.3

208



7

8,780,037

9,334,068

1.4

252



7

37,929,694

38,692,014

1.2

245



7

62,517,629

66,689,729

1.4

312



7

68,656,780

70,144,987

1.7

206



7

71,115,769

73,141,464

1.8

243



7

93,513,413

95,131,967

1.7

474



7

109,910,153

111,500,553

1.2

280



7

122,986,940

124,397,026

1.3

247



7

145,145,326

146,569,874

1.5

201







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



8

18,212,931

18,787,795

1.3

327



8

25,536,691

26,600,068

1.7

339



8

29,873,603

31,072,165

1.4

210



8

50,654,234

52,496,221

1.2

269



8

53,885,194

55,269,485

1.1

251



8

121,009,824

122,497,385

1.2

297







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



9

329,830

847,292

1.5

258



9

11,578,233

12,829,714

1.7

358



9

23,738,335

24,864,882

1.2

204



9

76,228,755

77,809,291

1.8

285



9

109,838,977

110,573,303

1.7

265



9

114,919,707

116,386,438

2.3

344



9

121,320,294

122,319,889

1.8

234







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



10

8,245,150

8,919,297

1.9

287



10

16,706,766

17,334,935

1.3

250



10

20,611,613

22,284,878

1.3

375



10

22,961,707

24,584,036

1.7

328



10

65,452,546

67,211,369

1.1

328



10

81,175,250

82,411,802

1.9

247



10

83,259,758

84,444,585

1.3

309



10

85,715,152

87,154,121

1.2

335



10

94,502,244

95,431,535

1.4

355



10

100,242,195

101,790,389

1.3

336



10

122,530,844

123,094,884

1.4

207







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



11

5,671,623

6,304,710

1.4

204



11

14,255,818

15,942,032

1.6

343



11

59,612,859

60,750,048

1.4

270



11

64,938,381

67,418,202

1.8

425



11

73,894,976

76,872,169

3.0

651



11

86,650,282

87,667,815

1.1

239







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



12

4,417,127

5,056,535

1.9

230



12

18,684,104

19,701,039

1.5

234



12

21,408,845

22,146,930

1.1

288



12

28,978,861

29,736,480

1.3

216



12

31,085,405

32,242,179

1.2

298



12

48,237,303

51,375,318

2.1

551



12

63,275,017

64,401,412

1.1

244



12

117,571,041

118,328,555

2.0

302



12

124,980,586

125,795,991

2.6

258







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



13

22,343,925

22,804,312

1.4

252



13

26,700,284

27,498,549

2.0

246



13

35,140,690

36,200,686

1.4

206



13

71,118,979

72,330,504

1.6

283



13

96,132,701

97,526,225

1.1

220







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



14

34,749,512

37,190,065

2.4

484



14

67,291,186

69,136,881

1.1

377



14

78,800,072

80,805,243

2.3

448



14

98,267,909

99,020,763

1.8

214







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



15

32,309,184

33,477,222

3.3

266



15

33,929,082

34,667,075

1.9

237



15

35,086,366

36,041,183

1.8

205



15

45,425,864

46,595,789

1.4

233



15

68,881,524

69,936,082

2.1

200







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



16

8,313,272

8,870,618

1.5

202



16

12,237,623

13,247,355

3.1

367



16

14,379,836

16,277,685

1.8

342



16

20,109,653

21,610,804

2.2

238



16

71,459,146

72,910,403

1.2

204



16

89,350,038

90,163,275

1.0

209







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



17

7,017,420

7,721,030

1.4

200



17

18,856,896

20,855,951

1.2

223



17

50,212,182

51,319,040

1.1

201







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



18

8,793,236

9,814,639

3.0

331



18

35,058,664

37,876,759

2.2

533



18

54,056,577

55,236,342

1.3

269







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



19

29,446,266

31,819,830

4.4

544







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



20

5,783,694

6,410,854

1.9

203



20

8,419,818

9,259,371

1.9

258



20

19,058,878

19,985,970

2.8

367



20

37,713,976

40,317,262

2.5

518







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



21

32,528,960

33,507,584

1.7

256



21

36,223,627

36,854,998

1.6

208



21

43,816,548

44,574,541

1.6

260







Chr

B37 Start Pos'n

B37 End Pos'n

Centimorgans (cM)

SNPs



22

32,830,958

33,456,090

1.1

228



22

48,578,966

49,027,559

3.2

225




i have full orange bars for NE1, BR2 and Stuttagart when I use archaic in gedmatch, .................yet have zero SNP for them when I compare ................is there a different method you use

Duarte
29-04-19, 21:11
i have full orange bars for NE1, BR2 and Stuttagart when I use archaic in gedmatch, .................yet have zero SNP for them when I compare ................is there a different method you use

I just compare the Kit F999918 with my Genesis GEDmatch kit. Standard adjusts. Nothing more. Nothing diferent or special.

Salento
29-04-19, 21:19
There are One-to-one Autosomal and One-to-one X. You can try them both, separately.

@All
It may be also a matter of Settings. The defaults for GedMatch and Genesis seem different from each other, meaning different

results? No time to try them.

:thinking:just guessing

If the Autosomal results of a mainstream company is based on the totality of 22 plus the X chr. versus just 22 chr. of a third party site, the 2 results are incomparable.

In general, if both parents are ethnically equal and are from the same area, there won't be much difference in the results, regardless of X chr.

All Mix people will get only partial results if the X chromosome is not in the calculator.

just guessing, :smile:

Regio X
29-04-19, 21:43
@Duarte
ahah Boa! Será você um primo distante do Vanderlei Luxemburgo? ;-)

Fellow, Loschbour is from Mesolithic, so it doesn't seem likely a "true" shared segment as large as that. Anyway, Settings do matter, apparently. I guess GedMatch results and Genesis' will be more similar to each other if you set Genesis' minimum segment threshold to 500 SNPs? If you put more than that, it could even affect the Largest segment size, I guess, depending on how many you choose.
I assume GedMatch/Genesis are, say, somewhat"flexible", and MyTrueAncestry may be even more, which could perhaps explain those "discrepancies", instead they're informing some dishonest random results. Still, it doesn't smell realistic to me. Particularly, I like the similarity tool they created, as I alrrady said. It's nice. But not really this IBD matching tool. In my opinion.

@Salento
Settings/criteria of each company also matter for comparisons. We saw that phasing is also important.
Now, if you wanna totals in GedMatch, you can just sum Autosomal results and X's, after run the tools separately. And that's it.

Salento
29-04-19, 22:08
deleted.....

Duarte
29-04-19, 22:19
@Regio X
HA HA HA. Creio que eu e ele temos o Luxemburgo em comum. Mas ele é um homem do futebol, e ganha muito mais dinheiro do que eu :))

zanipolo
30-04-19, 02:24
Basilicata was founded by the normans

Regio X
30-04-19, 03:16
@Salento
Settings/criteria of each company also matter for comparisons. We saw that phasing is also important.About the criteria used by companies... This is from Oct 2017, but it's still a good reference:
https://isogg.org/wiki/Autosomal_DNA_match_thresholds

zanipolo
30-04-19, 07:06
I just compare the Kit F999918 with my Genesis GEDmatch kit. Standard adjusts. Nothing more. Nothing diferent or special.
does not work for me , even though I have full orange bar ................used normal and genesis
it is a bad comparison this gedmatch with truancestry

matty74
30-04-19, 09:27
Was just playing around. Set for 2 CM

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit * (**) [Migration - F2 - A] and M564203 (Saami 10) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
11,745,459
12,868,237
3.2
201


1
26,722,384
29,765,644
2.1
208


1
92,177,938
95,086,778
2.4
323


1
100,292,904
102,315,214
2.1
252


1
105,395,113
107,930,365
2.5
234


1
211,383,129
213,834,509
2.6
291


2
12,177,253
13,338,190
2.5
211


2
107,768,018
113,848,574
4.8
573


2
172,955,011
174,707,728
2.3
311


2
218,799,554
220,792,262
3.4
219


2
233,929,510
235,120,419
2.6
289


3
63,445,205
64,468,933
2.0
211


3
133,618,581
134,945,866
2.4
227


4
84,883,128
88,848,691
3.5
420


4
151,406,414
154,014,175
2.9
249


5
150,656,548
152,206,046
2.0
203


7
29,083,262
30,994,911
4.1
368


7
90,867,295
93,435,670
2.4
237


8
137,524,151
139,062,339
3.2
234


9
2,682,322
3,943,449
3.0
249


9
107,720,025
109,957,950
2.7
323


10
8,416,256
10,594,364
3.3
375


10
30,094,779
32,045,932
3.2
309


11
21,443,083
23,136,879
3.0
213


11
24,407,108
26,366,279
2.2
246


12
15,115,101
17,392,449
3.5
278


12
48,039,874
52,396,544
3.9
458


12
120,001,334
122,807,369
2.1
249


13
74,090,415
77,389,129
4.9
580


16
49,896,680
51,325,928
2.9
201


16
55,907,811
57,134,338
2.3
208


18
4,253,242
5,432,584
4.1
220


18
36,934,371
39,472,381
2.2
287


19
11,164,790
13,680,764
2.9
287


20
58,624,890
59,635,795
5.1
269



Largest segment = 5.1 cM

Total Half-Match segments (HIR) = 103.6 cM (2.891 Pct)

35 shared segments found for this comparison.

371288 SNPs used for this comparison.

46.285 Pct SNPs are full identical

Comparison took 0.037 seconds.
CPU time used: 0.016 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
30-04-19, 09:29
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit * (**) [Migration - F2 - A] and M482183 (Saami 1) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
63,546,715
65,097,263
2.3
248


1
230,809,434
232,232,335
2.0
270


3
54,871,826
56,527,268
2.7
285


3
172,661,239
174,646,603
3.2
268


4
4,363,642
5,419,685
2.6
204


4
14,384,751
15,930,961
2.9
227


4
139,570,038
140,975,013
2.2
241


4
172,367,126
175,125,617
2.4
293


4
179,404,023
180,933,174
2.6
223


5
14,700,035
16,610,057
3.1
209


5
113,296,006
115,233,116
2.1
238


5
137,754,808
141,049,407
2.4
255


6
24,735,308
28,466,988
2.4
629


8
5,912,591
6,828,241
2.7
347


8
52,497,178
54,312,886
3.0
225


8
57,135,889
58,844,022
2.2
226


9
15,362,057
16,658,915
2.2
245


9
26,127,824
27,349,580
2.0
262


9
81,331,339
82,474,979
2.0
216


9
126,520,068
128,965,556
2.1
265


10
13,978,235
15,235,954
3.1
337


10
29,586,483
31,289,921
3.9
346


10
127,010,681
128,025,384
2.7
200


12
76,600,231
79,004,798
3.4
368


12
102,127,262
104,129,802
2.6
253


13
46,360,678
47,700,334
2.8
234


13
107,885,801
108,818,885
3.1
230


15
38,188,807
39,482,575
2.5
239


20
12,007,223
13,205,338
2.3
224


20
57,031,757
57,944,370
2.4
208


21
34,510,880
35,823,779
2.1
224



Largest segment = 3.9 cM

Total Half-Match segments (HIR) = 79.4 cM (2.215 Pct)

31 shared segments found for this comparison.

371288 SNPs used for this comparison.

46.273 Pct SNPs are full identical

Comparison took 0.019 seconds.
CPU time used: 0.015 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
30-04-19, 09:34
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit * (*) [Migration - F2 - A] and M343758 (I0443 Yamnaya) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
169,580,885
171,623,833
2.2
232



Largest segment = 2.2 cM

Total Half-Match segments (HIR) = 2.2 cM (0.061 Pct)

1 shared segments found for this comparison.

279223 SNPs used for this comparison.

53.273 Pct SNPs are full identical

Comparison took 0.015 seconds.
CPU time used: 0.013 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
30-04-19, 09:49
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit (*) (*) [Migration - F2 - A] and LP4532362 (84001 Sigtuna 10-12 century) [-]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


15
61,394,875
62,660,554
2.1
213



Largest segment = 2.1 cM

Total Half-Match segments (HIR) = 2.1 cM (0.059 Pct)

1 shared segments found for this comparison.

386326 SNPs used for this comparison.

52.548 Pct SNPs are full identical

Comparison took 0.046 seconds.
CPU time used: 0.019 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
30-04-19, 09:54
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit * (*) [Migration - F2 - A] and LV6799082 (kal009 Sigtuna 10-12 century) [-]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


6
25,257,580
32,740,895
3.1
264



Largest segment = 3.1 cM

Total Half-Match segments (HIR) = 3.1 cM (0.087 Pct)

1 shared segments found for this comparison.

57722 SNPs used for this comparison.

56.124 Pct SNPs are full identical

Comparison took 0.012 seconds.
CPU time used: 0.006 cpu seconds.

matty74
30-04-19, 10:04
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit A (*) [Migration - F2 - A] and F999916 (LBK, Stuttgart, 7ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
11,017,551
12,189,561
3.2
245


2
131,123,264
133,615,057
3.4
226


2
228,526,100
229,995,411
2.3
246


3
61,495
1,420,284
2.7
350


3
64,242,106
65,530,833
2.0
328


4
154,452,248
155,951,509
2.0
254


5
108,031,617
110,485,574
2.1
316


7
130,872,884
131,815,310
2.6
200


10
423,555
1,515,126
2.4
204


10
72,131,939
72,960,558
2.4
244


11
60,107,660
62,246,596
2.7
358


11
71,281,562
74,044,976
2.1
279


11
129,785,615
130,956,627
3.4
244


12
20,043,429
21,315,415
2.3
293


12
65,018,137
66,992,513
2.3
263


13
92,968,290
94,982,174
3.2
328


14
90,918,435
92,352,114
2.5
258


15
47,690,050
49,375,215
2.0
275


15
68,698,192
70,072,205
2.7
217


15
99,615,560
100,746,908
2.2
206


17
4,862,962
5,900,527
2.6
219


19
17,158,694
18,168,674
3.1
214


20
936,079
1,886,493
2.7
258


21
33,354,764
34,499,426
2.3
219


21
36,669,447
37,866,090
3.2
216



Largest segment = 3.4 cM

Total Half-Match segments (HIR) = 64.1 cM (1.788 Pct)

25 shared segments found for this comparison.

442324 SNPs used for this comparison.

51.849 Pct SNPs are full identical

Comparison took 0.039 seconds.
CPU time used: 0.019 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
30-04-19, 10:07
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit A (*) [Migration - F2 - A] and F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
11,783,484
13,176,463
3.6
247


5
116,207,953
118,645,320
2.2
358


6
2,914,609
3,797,857
2.5
216


6
17,283,321
19,455,877
2.8
319


6
104,351,361
106,328,676
2.5
313


9
8,169,707
8,810,447
2.0
219


9
15,309,928
16,658,915
2.2
315


10
80,880,900
82,405,254
2.3
265


10
92,078,697
94,785,223
2.3
330


10
126,788,191
127,859,150
2.8
234


13
96,087,296
98,315,257
2.3
273


14
55,233,098
56,963,072
2.7
308


16
86,076,078
86,554,024
2.0
267


20
58,031,774
58,888,125
3.3
227


21
27,832,331
28,712,788
2.6
244


21
33,221,021
34,509,155
2.6
260


22
45,117,434
45,892,433
2.7
236



Largest segment = 3.6 cM

Total Half-Match segments (HIR) = 43.1 cM (1.202 Pct)

17 shared segments found for this comparison.

445002 SNPs used for this comparison.

52.077 Pct SNPs are full identical

Comparison took 0.054 seconds.
CPU time used: 0.021 cpu seconds.

matty74
30-04-19, 10:15
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit (*) [Migration - F2 - A] and T661186 (Nanna B Magnusdottir) [Migration - F2 - T]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
9,533,238
11,489,678
3.3
265


1
157,252,102
158,729,713
2.2
255


1
245,316,219
246,136,870
2.5
247


2
26,385,849
29,266,459
2.3
349


2
228,568,652
230,100,791
2.4
242


3
3,431,858
4,376,030
3.2
226


3
26,116,590
27,866,326
2.0
215


3
143,447,722
145,341,579
2.0
207


4
40,739,635
41,805,686
2.1
210


5
116,200,854
118,058,065
2.0
255


7
90,109,586
92,616,518
2.2
267


7
97,312,449
99,527,977
2.2
235


7
142,986,684
145,768,267
2.7
288


9
2,472,410
3,573,936
2.8
261


9
101,678,273
104,563,211
2.9
348


9
109,521,257
110,571,327
2.3
250


9
115,885,060
116,949,449
2.4
256


10
30,902,048
33,561,788
2.2
347


11
4,953,022
5,933,112
2.5
290


11
112,658,438
114,095,614
2.5
295


11
122,204,543
123,079,780
2.3
204


12
11,748,120
12,739,125
3.6
275


12
12,746,585
13,574,028
2.5
227


12
14,264,871
16,299,842
2.9
269


12
106,332,204
107,838,392
2.6
210


12
124,325,977
125,427,751
2.7
271


13
75,389,261
77,101,905
2.2
306


15
85,671,379
87,443,651
2.2
347


17
55,747,876
57,403,952
2.0
201


18
65,645,842
66,900,419
2.5
252


18
73,815,707
74,709,361
3.1
222


20
10,386,013
11,501,142
2.6
223


20
45,722,939
46,785,769
3.1
210


21
16,352,281
18,023,205
3.6
309


21
18,046,904
19,167,479
3.0
212


21
27,903,769
28,712,788
2.4
204



Largest segment = 3.6 cM

Total Half-Match segments (HIR) = 91.6 cM (2.554 Pct)

36 shared segments found for this comparison.

418724 SNPs used for this comparison.

52.598 Pct SNPs are full identical

Comparison took 0.017 seconds.
CPU time used: 0.015 cpu seconds.

Duarte
30-04-19, 13:08
Selected adjust:

Minimum segment threshold size to be included in total = 500 SNPs
Minimum segment cM to be included in total = 2.0 cM


https://i.imgur.com/FG3Hipr.png
https://i.imgur.com/bTYsAvs.png
https://i.imgur.com/sC7oYje.png
https://i.imgur.com/HDCXO8I.png

I do not knew who were this guy. Now that I know who he is, I think that we are seemed. Loved his tan skin :)

https://i.imgur.com/da8zMz3.jpg

Salento
30-04-19, 21:39
Basilicata was founded by the normans
They ruled it for a while, not founded it.
https://en.m.wikipedia.org/wiki/Basilicata

@Duarte

https://i.imgur.com/aqtBmj8.jpg

Duarte
30-04-19, 22:33
They ruled it for a while, not founded.

https://en.m.wikipedia.org/wiki/Basilicata

@Duarte

https://i.imgur.com/aqtBmj8.jpg

LMAO. It’s my older brother. He loves to trip. It’s a cool guy. He posts everything on Instagram, like this pic. He's an exhibitionist. LOL. Good job Salento. Loved this :)

Salento
30-04-19, 23:46
LMAO. It’s my older brother. He loves to trip. It’s a cool guy. He posts everything on Instagram, like this pic. He's an exhibitionist. LOL. Good job Salento. Loved this :)

Congrats, you’re an Uncle.

It seems that in his travels you Bro got “busy” and left a child behind.

Now he’s all grown up.

They call him: The Rock! lol :grin:


https://vignette.wikia.nocookie.net/spooky-crew9672/images/0/0f/235135_v9_ba.jpg/revision/latest?cb=20190326025741

going back to topic now. :)

LABERIA
30-04-19, 23:56
They ruled it for a while, not founded it.
https://en.m.wikipedia.org/wiki/Basilicata

@Duarte

https://i.imgur.com/aqtBmj8.jpg

Look at his teeth. Many years ago, a friend of mine who worked with arceologists during excavations in the city of Apollonia in southwestern Albania told me that he was impressed that the skulls they found had almost all the teeth.

Salento
01-05-19, 00:15
Look at his teeth. Many years ago, a friend of mine who worked with arceologists during excavations in the city of Apollonia in southwestern Albania told me that he was impressed that the skulls they found had almost all the teeth.

the pic is fake. lol

I manipulated the original image:

https://lh3.googleusercontent.com/proxy/7x-cE30frTaKBIJu6FftgsoEvaICYDYzWHoXWKhfknI9eN0GttrEE EhcsOVwd6yg6lRc7prmK7gNDJRjmKWIaGX8pOppqgfLlsE1fBb zdc8gnEErFG5Aiq5BzSm27i48KGZsJNI8vN0HrCwAsGDzuGIWm BI8m78S9gpgDQOxQyOIc0BrYGWQDP1cBY_DNbf1vJELx44ZCCu Lf69yoG9QRMJaABbk5QmQHw=s0-d

Angela
01-05-19, 00:48
Ah...gentlemen, I have news. I only ran Loschbour because I don't have the time to run them one by one, but...

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34

F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


Largest segment = 5.4 cM

Total Half-Match segments (HIR) = 376.1 cM (10.488 Pct)

244 shared segments found for this comparison.

854322 SNPs used for this comparison.

54.269 Pct SNPs are full identical

Am I doing this right?

NE1 Hungary:
Largest segment = 3.8 cM

Total Half-Match segments (HIR) = 487.9 cM (13.605 Pct)

BR 2 Hungary
Largest segment = 3.4 cM

Total Half-Match segments (HIR) = 462.3 cM (12.890 Pct)

I don't know which one I'm closest to because I can't run them all one by one.

This seems very strange.

Btw, they don't seem to have the Collegno ones.

Duarte
01-05-19, 01:27
Ah...gentlemen, I have news. I only ran Loschbour because I don't have the time to run them one by one, but...

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

Software Version Mar 26 2019 01:00:34

F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


Largest segment = 5.4 cM

Total Half-Match segments (HIR) = 376.1 cM (10.488 Pct)

244 shared segments found for this comparison.

854322 SNPs used for this comparison.

54.269 Pct SNPs are full identical

Am I doing this right?

NE1 Hungary:
Largest segment = 3.8 cM

Total Half-Match segments (HIR) = 487.9 cM (13.605 Pct)

BR 2 Hungary
Largest segment = 3.4 cM

Total Half-Match segments (HIR) = 462.3 cM (12.890 Pct)

I don't know which one I'm closest to because I can't run them all one by one.

This seems very strange.

Btw, they don't seem to have the Collegno ones.






Well, Angela. You're a cousin of Loschbour’s man too. Salento, who is the group's artist, could make a female version of Loschbour's wife. I already know with who I look like. Now it's you that need to know what was the appearance of Loschbour’s woman. LOL. It's good to laugh a little, to ease the tension of all heated debates. LOL :)

Salento
01-05-19, 02:19
Well, Angela. You're a cousin of Loschbour’s man too. Salento, who is the group's artist, could make a female version of Loschbour's wife. I already know with who I look like. Now it's you that need to know what was the appearance of Loschbour’s woman. LOL. It's good to laugh a little, to ease the tension of all heated debates. LOL :)

You just reminded me, ... they are testing for Leonardo DNA.

Leonardo Da Vinci's 'hair' to undergo DNA testing

https://www.cnn.com/style/article/leonardo-da-vinci-hair-lock-intl-scli/index.html

Angela
01-05-19, 02:39
You just reminded me, ... they are testing for Leonardo DNA.

Leonardo Da Vinci's 'hair' to undergo DNA testing

https://www.cnn.com/style/article/leonardo-da-vinci-hair-lock-intl-scli/index.html

After we saw what when on with King Richard III's ydna I'm not too sure we can count on it. There could definitely be one or more NPEs in there.

Still, if they have a paper line of males descending from Leonardo DaVinci's brother, and that brother and Leonardo and that brother supposedly shared the same father, then they know what Y line is at the top of the list.

I wonder what it is?

If those bones are not autosomally pretty "Tuscan", they should know already that it can't be him.

Anyway, sorry for the off topic. If people want to discuss we can do it on the famous people y thread if there is one.

Petrarch supposedly is some form of J2, but who knows. I think they're doing the supposed remains of Caravaggio too.

Jovialis
01-05-19, 02:40
Ah...gentlemen, I have news. I only ran Loschbour because I don't have the time to run them one by one, but...

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

Software Version Mar 26 2019 01:00:34

F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


Largest segment = 5.4 cM

Total Half-Match segments (HIR) = 376.1 cM (10.488 Pct)

244 shared segments found for this comparison.

854322 SNPs used for this comparison.

54.269 Pct SNPs are full identical

Am I doing this right?

NE1 Hungary:
Largest segment = 3.8 cM

Total Half-Match segments (HIR) = 487.9 cM (13.605 Pct)

BR 2 Hungary
Largest segment = 3.4 cM

Total Half-Match segments (HIR) = 462.3 cM (12.890 Pct)

I don't know which one I'm closest to because I can't run them all one by one.

This seems very strange.

Btw, they don't seem to have the Collegno ones.






These are mine, using my AncestryDNA, 23andme, and LivingDNA raw data, as one superkit, via the new Gedmatch merging tool:

F999918 (Loschbour, Lux., 8ky)


Largest segment = 2.9 cM


Total Half-Match segments (HIR) = 109.2 cM (3.044 Pct)


69 shared segments found for this comparison.


501734 SNPs used for this comparison.


51.319 Pct SNPs are full identical




////////////


F999937 (NE1 Polgár-Ferenci-hát, Hungary 5070-5310 cal BC)


Largest segment = 5.1 cM


Total Half-Match segments (HIR) = 243.5 cM (6.789 Pct)


134 shared segments found for this comparison.


494744 SNPs used for this comparison.


52.834 Pct SNPs are full identical


////////////


F999933 (BR2 Ludas-Varjú-dűlő, Hungary 1110-1270 cal BC)


Largest segment = 5.4 cM


Total Half-Match segments (HIR) = 214.4 cM (5.978 Pct)


123 shared segments found for this comparison.


496784 SNPs used for this comparison.


52.483 Pct SNPs are full identical

Angela
01-05-19, 02:44
These are mine, using a AncestryDNA, 23andme, and LivingDNA, as one superkit, via the gedmatch merging tool:

F999918 (Loschbour, Lux., 8ky)


Largest segment = 2.9 cM


Total Half-Match segments (HIR) = 109.2 cM (3.044 Pct)


69 shared segments found for this comparison.


501734 SNPs used for this comparison.


51.319 Pct SNPs are full identical




////////////


F999937 (NE1 Polgár-Ferenci-hát, Hungary 5070-5310 cal BC)


Largest segment = 5.1 cM


Total Half-Match segments (HIR) = 243.5 cM (6.789 Pct)


134 shared segments found for this comparison.


494744 SNPs used for this comparison.


52.834 Pct SNPs are full identical


////////////


F999933 (BR2 Ludas-Varjú-dűlő, Hungary 1110-1270 cal BC)


Largest segment = 5.4 cM


Total Half-Match segments (HIR) = 214.4 cM (5.978 Pct)


123 shared segments found for this comparison.


496784 SNPs used for this comparison.


52.483 Pct SNPs are full identical

Well, that's interesting. Why am I so matchy/matchy, at least with these people? I never match anyone, practically. My relatives page on 23andme is sad. :)

I guess I should do the gedmatch one on some of the more recent ones, but they're going to be much less, which doesn't make a lot of sense. Roman solder, for example, was 2.61 or something.

As for overall similarity on the calculators, I don't get closer than about a 4.

Angela
01-05-19, 04:06
The kit numbers for the samples also covered by this service are now not up on gedmatch.LBK

These are up, and I still don't get it. We shouldn't be getting numbers like this for such old samples, should we?

Stuttgart
Largest segment = 4.4 cM

Total Half-Match segments (HIR) = 506.9 cM (14.134 Pct)

326 shared segments found for this comparison.

848896 SNPs used for this comparison.

55.494 Pct SNPs are full identical

Well, it's going to take quite something to beat that. :) I guess I should be the EEF poster girl; the one with the EHG or Indo-European mtDna. :)

NE6:
Largest segment = 1.2 cM

Total Half-Match segments (HIR) = 2.3 cM (0.063 Pct)


Greek Neolithic: Revenia
Largest segment = 1.6 cM

Total Half-Match segments (HIR) = 1.6 cM (0.043 Pct)

1 shared segments found for this comparison.

463765 SNPs used for this comparison.


Greek Neolithic Klei
M572712

Doesn't work

Bar31
Largest segment = 1.6 cM

Total Half-Match segments (HIR) = 5.4 cM (0.151 Pct)

4 shared segments found for this comparison.

631768 SNPs used for this comparison.

54.693 Pct SNPs are full identical


Neolithic Ganj Dareh-Iran
Largest segment = 1.9 cM

Total Half-Match segments (HIR) = 2.9 cM (0.081 Pct)

2 shared segments found for this comparison.

570281 SNPs used for this comparison.

53.213 Pct SNPs are full identical


Iran WCI 9465-9092 ybp
Largest segment = 4.4 cM

Total Half-Match segments (HIR) = 107.9 cM (3.008 Pct)

69 shared segments found for this comparison.

661486 SNPs used for this comparison.

54.110 Pct SNPs are full identical


Bon 002 Early PPN
Largest segment = 1.7 cM

Total Half-Match segments (HIR) = 3.7 cM (0.103 Pct)

3 shared segments found for this comparison.

623602 SNPs used for this comparison.

54.875 Pct SNPs are full identical

Levant PPNB 0

(*Bon002 depth>=2 Early PPN Central Anatolia Boncuklu 8279-7977 BC

Largest segment = 1.9 cM

Total Half-Match segments (HIR) = 10.6 cM (0.296 Pct)

7 shared segments found for this comparison.

537574 SNPs used for this comparison.

55.303 Pct SNPs are full identical


Bar8 Anatolian Neolithic, Barcin, 6212-6030 BCE (8222-8040 ybp

Largest segment = 2.5 cM

Total Half-Match segments (HIR) = 70.6 cM (1.969 Pct)

51 shared segments found for this comparison.

658827 SNPs used for this comparison.

55.551 Pct SNPs are full identical


KOI Hungary:
Largest segment = 1.9 cM

Total Half-Match segments (HIR) = 6.9 cM (0.193 Pct)

5 shared segments found for this comparison.

447037 SNPs used for this comparison.

58.160 Pct SNPs are full identical

NE5: 0

NE7:
Total Half-Match segments (HIR) = 6.3 cM (0.176 Pct)

4 shared segments found for this comparison.

370214 SNPs used for this comparison.

CO1:
Largest segment = 2.0 cM

Total Half-Match segments (HIR) = 2.0 cM (0.054 Pct)

1 shared segments found for this comparison.

393433 SNPs used for this comparison.

59.132 Pct SNPs are full identical

German Bell Beaker Rise 569- 0

Remedello Rise 489
Largest segment = 2.5 cM

Total Half-Match segments (HIR) = 2.5 cM (0.070 Pct)

1 shared segments found for this comparison.

275539 SNPs used for this comparison.

59.538 Pct SNPs are full identical

Funnel Beaker: N18
Largest segment = 1.3 cM

Total Half-Match segments (HIR) = 1.3 cM (0.036 Pct)

1 shared segments found for this comparison.

502990 SNPs used for this comparison.

52.346 Pct SNPs are full identical


Funnel Beaker F19
Largest segment = 3.0 cM

Total Half-Match segments (HIR) = 6.7 cM (0.186 Pct)

3 shared segments found for this comparison.

517903 SNPs used for this comparison.

52.188 Pct SNPs are full identical

Too many steppe samples; I don't know which ones to do.

I bet the Sicily Beaker one is down too, right?

Duarte
01-05-19, 04:16
You just reminded me, ... they are testing for Leonardo DNA.

Leonardo Da Vinci's 'hair' to undergo DNA testing

https://www.cnn.com/style/article/leonardo-da-vinci-hair-lock-intl-scli/index.html

Very cool.
Hope that this data of his DNA is in the public domain, since he is a historical celebrity and may have descendants still alive. Hope that someone can do an upload to the GEDmatch, that would generate a specific Kit to him. As Leonardo da Vinci is from Tuscany, 1452 - 1519 AD, the possibility of Italians like you, Angela, Jovialis, Regio X, among others, having many machs with him is high. In my case, must would do a comparsion with DNA data of Luiz Vaz de Camões. Unfortunately, I not must have be many matchs with Da Vinci :(

In sequence, I post my TOP 4 ancient ancestors, according to GEDmatch Genesis:
GEDmatch® Genesis One-to-one Autosomal Comparison

1) Comparing Kit [FTDNA] and F999937 (NE1, Hungary, 7.2ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 5.3 cM
Total Half-Match segments (HIR) = 358.9 cM (10.008 Pct)
211 shared segments found for this comparison.
602316 SNPs used for this comparison.
54.730 Pct SNPs are full identical
Comparison took 0.275 seconds.
CPU time used: 0.058 cpu seconds.

2) Comparing Kit [FTDNA] and F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 5.3 cM
Total Half-Match segments (HIR) = 224.8 cM (6.268 Pct)
140 shared segments found for this comparison.
611154 SNPs used for this comparison.
54.485 Pct SNPs are full identical
Comparison took 0.315 seconds.
CPU time used: 0.064 cpu seconds.

3) Comparing Kit [FTDNA] and F999933 (BR2, Hungary, 3.2ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 4.4 cM
Total Half-Match segments (HIR) = 306.0 cM (8.532 Pct)
187 shared segments found for this comparison.
604922 SNPs used for this comparison.
54.775 Pct SNPs are full identical
Comparison took 0.302 seconds.

4) Comparing Kit [FTDNA] and F999916 (LBK, Stuttgart, 7ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 4.0 cM
Total Half-Match segments (HIR) = 305.1 cM (8.507 Pct)
181 shared segments found for this comparison.
607322 SNPs used for this comparison.
54.700 Pct SNPs are full identical
Comparison took 0.271 seconds.
CPU time used: 0.054 cpu seconds.

Salento
01-05-19, 04:51
@Duarte I’m way smarter than Leonardo, I have a Google Machine, I know everything!
LOL


Combined by GedMatch $$$ (Anc 23 Liv)


Kit F999918 (Loschbour, Lux., 8ky)

Largest segment = 3.6 cM

Total Half-Match segments (HIR) = 98.6 cM (2.749 Pct)

54 shared segments found for this comparison.

487950 SNPs used for this comparison.

51.420 Pct SNPs are full identical

~~~~~~~~~~~

Kit F999937 (NE1, Hungary, 7.2ky)

Largest segment = 4.8 cM

Total Half-Match segments (HIR) = 208.6 cM (5.817 Pct)

113 shared segments found for this comparison.

481157 SNPs used for this comparison.

52.666 Pct SNPs are full identical

~~~~~~~~~~~~

Kit F999933 (BR2, Hungary, 3.2ky)

Largest segment = 3.9 cM

Total Half-Match segments (HIR) = 181.3 cM (5.056 Pct)

103 shared segments found for this comparison.

483232 SNPs used for this comparison.

52.442 Pct SNPs are full identical

~~~~~~~~~

Duarte
01-05-19, 05:00
Well, that's interesting. Why am I so matchy/matchy, at least with these people? I never match anyone, practically. My relatives page on 23andme is sad. :)

I guess I should do the gedmatch one on some of the more recent ones, but they're going to be much less, which doesn't make a lot of sense. Roman solder, for example, was 2.61 or something.

As for overall similarity on the calculators, I don't get closer than about a 4.

Yes, I agree with you. It is very strange that matches with such old samples are much larger than those with more recent samples. Look at my case and the Roman soldier:

Comparing Kit [FTDNA] and Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE) [Migration - F2 - Z]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.

Largest segment = 1.8 cM

Total Half-Match segments (HIR) = 8.3 cM (0.232 Pct)

6 shared segments found for this comparison.

560252 SNPs used for this comparison.

55.293 Pct SNPs are full identical

Comparison took 0.278 seconds.
CPU time used: 0.052 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
01-05-19, 05:05
Where are you getting these kit numbers? Is there a minimum we should be setting comparisons at?

Duarte
01-05-19, 05:28
Where are you getting these kit numbers? Is there a minimum we should be setting comparisons at?

Hi matty,

The GEDmatch’s number kits of ancient samples I search for Google. In the Genesis GEDmatch calculator I use the default settings, by setting a minimum segment in Centimeters (cM) to be included in total equivalent to 1.0 cM. Just to remember, in cases of comparison with very old samples the recommended cut-off line is 0.5 cM. We can then consider that 1 cM is already a very high cut-off line for comparisons with old samples.

matty74
01-05-19, 05:41
Thank you...I'll try again with those samples

davef
01-05-19, 05:51
@Duarte I’m way smarter than Leonardo, I have a Google Machine, I know everything!
LOL


Combined by GedMatch $$$ (Anc 23 Liv)


Kit F999918 (Loschbour, Lux., 8ky)

Largest segment = 3.6 cM

Total Half-Match segments (HIR) = 98.6 cM (2.749 Pct)

54 shared segments found for this comparison.

487950 SNPs used for this comparison.

51.420 Pct SNPs are full identical

~~~~~~~~~~~

Kit F999937 (NE1, Hungary, 7.2ky)

Largest segment = 4.8 cM

Total Half-Match segments (HIR) = 208.6 cM (5.817 Pct)

113 shared segments found for this comparison.

481157 SNPs used for this comparison.

52.666 Pct SNPs are full identical

~~~~~~~~~~~~

Kit F999933 (BR2, Hungary, 3.2ky)

Largest segment = 3.9 cM

Total Half-Match segments (HIR) = 181.3 cM (5.056 Pct)

103 shared segments found for this comparison.

483232 SNPs used for this comparison.

52.442 Pct SNPs are full identical

~~~~~~~~~




lol you said Google machine :)

Salento
01-05-19, 06:19
One-to-One vs Q matching One-to-One

1-to-1

Kit F999916 (LBK, Stuttgart, 7ky)

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.

Largest segment = 4.8 cM

Total Half-Match segments (HIR) = 347.4 cM (9.685 Pct)

206 shared segments found for this comparison.

622064 SNPs used for this comparison.

55.363 Pct SNPs are full identical

~~~~~~~~

Q-Matching 1-to-1

Kit F999916 (LBK, Stuttgart, 7ky)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.

Total cM: 514.56
Largest segment cM: 6.18
Total segments: 315
Total gap-induced breaks: 0

davef
01-05-19, 06:19
How could anyone be that related to people who died 1000+ years ago? I was always in doubt that anyone (including me :) ) would reach cousin level relatedness with these people but i stand corrected. Time for me to bash pigs with clubs or pick beans lol :p

Salento
01-05-19, 06:26
How could anyone be that related to people who died 1000+ years ago? I was always in doubt that anyone (including me :) ) would reach cousin level relatedness with these people but i stand corrected. Time for me to bash pigs with clubs or pick beans lol :p

probably 1000+ years of incest, Obviously :laughing:

matty74
01-05-19, 06:40
Did I do this correctly?

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit A* (*) [Migration - F2 - A] and M828784 (RISE511_Afanasyevo) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


3
16,428,593
18,603,113
1.6
209


12
121,065,277
122,817,507
1.0
202


14
42,977,815
46,151,282
2.2
243



Largest segment = 2.2 cM

Total Half-Match segments (HIR) = 4.8 cM (0.133 Pct)

3 shared segments found for this comparison.

357296 SNPs used for this comparison.

52.785 Pct SNPs are full identical

Comparison took 0.027 seconds.
CPU time used: 0.017 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
01-05-19, 06:42
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit A* (*) [Migration - F2 - A] and M343758 (I0443 Yamnaya) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
169,580,885
171,623,833
2.2
232


10
73,319,089
76,131,244
1.8
207



Largest segment = 2.2 cM

Total Half-Match segments (HIR) = 4.0 cM (0.112 Pct)

2 shared segments found for this comparison.

279223 SNPs used for this comparison.

53.273 Pct SNPs are full identical

Comparison took 0.026 seconds.
CPU time used: 0.014 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
01-05-19, 06:44
WTF does this mean? Or am I putting in the wrong numbers? I found the Gedmatch kits on this link:

https://www.eupedia.com/forum/archive/index.php/t-34338.html

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit * (*Matty74) [Migration - F2 - A] and M109244 (Saami Kola 25) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
84,996,604
86,069,153
1.1
220


1
92,099,741
94,607,607
1.9
293


1
160,029,212
161,653,708
3.4
242


1
204,166,082
207,276,379
4.1
454


1
234,433,886
235,760,817
2.9
217


1
236,684,794
238,015,491
4.3
280


2
40,082,054
41,818,847
1.3
256


2
52,549,472
53,860,097
1.2
245


2
62,662,704
65,056,358
1.2
223


2
85,471,980
87,430,727
1.9
208


2
122,349,120
127,473,880
5.1
520


2
174,928,385
177,111,819
2.6
224


2
196,442,418
200,126,137
2.8
313


3
3,142,943
4,025,152
3.5
209


3
25,472,040
27,614,316
2.8
234


3
66,868,609
69,000,370
2.3
298


3
73,837,141
76,084,525
2.5
207


3
107,316,938
109,027,157
1.3
215


3
122,751,953
124,441,237
2.0
235


3
141,712,708
143,313,963
2.7
231


3
149,151,571
150,675,977
2.5
241


3
190,877,111
192,298,277
3.1
212


4
21,392,977
22,979,347
1.0
205


4
24,269,622
25,675,203
3.1
245


4
29,802,167
31,739,254
1.8
228


4
42,673,312
44,859,761
1.4
217


4
132,961,058
135,989,375
1.8
216


4
152,777,262
154,427,319
3.2
233


4
167,698,563
170,462,979
3.2
348


4
181,519,492
182,522,272
2.5
221


4
182,727,134
183,709,536
3.1
236


5
77,284,789
79,028,586
2.4
220


5
107,073,806
108,644,218
1.4
206


5
132,008,644
133,796,095
1.8
291


7
63,966,166
68,681,198
2.6
372


7
86,702,671
88,794,199
1.2
247


7
131,522,786
132,805,848
2.2
219


7
134,965,925
136,569,416
1.5
224


8
4,491,502
4,987,979
1.4
204


8
74,291,106
76,044,206
1.2
246


8
134,215,112
135,307,548
2.3
319


9
12,922,330
14,313,712
2.9
306


9
16,084,769
16,936,082
1.7
242


9
30,955,393
33,113,322
1.9
294


9
71,862,129
74,229,859
1.4
333


9
78,892,526
79,778,247
2.0
208


9
82,200,253
84,250,605
2.6
358


10
20,638,885
24,278,748
2.9
412


10
29,586,483
30,641,430
2.6
223


10
33,788,915
35,195,406
1.1
212


10
53,252,315
55,147,591
2.6
354


10
58,504,123
60,759,141
1.8
230


11
4,460,348
5,264,146
1.7
218


11
7,597,280
8,369,415
1.5
229


11
86,414,282
88,033,661
1.7
275


11
122,204,076
123,367,686
3.0
239


12
2,145,507
3,140,979
2.7
204


12
24,441,358
25,482,128
1.9
217


12
49,226,743
52,326,956
2.6
282


12
67,021,637
68,150,122
2.2
222


12
92,214,658
93,502,188
1.7
204


12
128,245,614
128,923,273
3.6
203


13
34,029,692
35,367,231
1.6
215


13
91,978,455
93,740,906
1.7
214


14
42,242,938
44,619,813
1.7
238


14
51,992,858
53,289,281
1.3
246


14
69,053,079
70,409,157
1.7
260


14
82,075,469
83,998,310
1.6
257


15
79,835,141
81,017,619
1.3
219


15
91,919,792
93,100,409
4.1
328


16
52,392,483
54,000,792
2.7
213


16
60,483,967
62,643,120
1.9
213


16
82,378,044
82,820,866
1.1
204


16
87,869,640
90,037,828
2.9
205


18
40,058,395
42,329,076
1.0
226


19
32,472,010
35,012,367
4.2
388


19
56,588,096
58,774,071
4.4
377


20
10,454,074
12,354,280
3.5
335


20
46,845,066
48,119,430
1.7
209


22
21,344,884
23,379,985
4.8
205


22
39,268,785
41,268,925
1.6
210


22
45,897,997
47,369,660
2.3
275



Largest segment = 5.1 cM

Total Half-Match segments (HIR) = 187.1 cM (5.220 Pct)

82 shared segments found for this comparison.

371288 SNPs used for this comparison.

46.313 Pct SNPs are full identical

Comparison took 0.035 seconds.
CPU time used: 0.017 cpu seconds.

Ver: Mar 26 2019 01:00:34

Duarte
01-05-19, 14:21
@ Salento
Here in Brazil when someone have not sure about some theme is said: Ask Dr. Google. Maybe he has the answer. You said Google Machine. It's the same thing . LOL.

@ matty
I'm as confused as you are. I am waiting for the scholars to manifest and bring some light to everything that has been seen and said in this thread. Unfortunately, this thread is inconclusive :)

Salento
01-05-19, 14:58
Yes, I agree with you. It is very strange that matches with such old samples are much larger than those with more recent samples. Look at my case and the Roman soldier:

Comparing Kit [FTDNA] and Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE) [Migration - F2 - Z]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.

Largest segment = 1.8 cM

Total Half-Match segments (HIR) = 8.3 cM (0.232 Pct)

6 shared segments found for this comparison.

560252 SNPs used for this comparison.

55.293 Pct SNPs are full identical

Comparison took 0.278 seconds.
CPU time used: 0.052 cpu seconds.

Ver: Mar 26 2019 01:00:34

Kit Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE)

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
193,942,375
195,222,580
1.1
217


6
39,354,375
40,319,394
1.8
235


7
3,718,051
4,371,785
1.3
213


9
46,587
739,913
1.2
312


9
16,355,626
16,898,603
1.1
203


12
131,576,002
132,176,454
1.5
223



Largest segment = 1.8 cM

Total Half-Match segments (HIR) = 7.9 cM (0.219 Pct)

6 shared segments found for this comparison.

611070 SNPs used for this comparison.

53.806 Pct SNPs are full identical

~~~~~~~~~~~

Q matching

Kit Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


1
52,418,140
53,591,463
178
1.05
20.0


1
120,051,446
145,634,490
171
1.76
4.0


1
160,141,636
160,738,146
138
1.65
5.0


1
193,938,944
195,224,639
215
1.02
28.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
21,259,612
22,056,486
161
1.05
5.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


3
2,273,611
2,608,506
122
1.38
1.0


3
182,159,427
182,878,838
143
1.34
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
7,830,141
8,392,223
174
1.19
0.0


6
39,349,530
40,321,473
235
1.77
22.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


7
3,710,751
4,372,595
213
1.32
6.0


7
91,280,470
92,652,339
157
1.25
5.0


7
129,973,222
130,678,154
147
1.48
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


8
52,998,935
53,691,001
140
1.20
12.0


8
103,018,338
103,542,538
130
1.06
6.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


9
257,973
741,307
276
1.19
33.0


9
16,354,904
16,903,446
203
1.09
10.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
43,993,985
45,958,333
292
1.41
5.0


12
54,185,879
55,041,275
174
1.40
3.0


12
114,850,094
115,383,818
180
1.15
4.0


12
127,414,787
127,865,176
142
1.63
5.0


12
131,575,390
132,182,209
222
1.47
10.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


13
108,397,711
108,747,731
130
1.05
1.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
187,509
878,324
151
2.73
3.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


17
4,699,947
5,415,287
137
1.52
4.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


20
9,289,826
9,649,074
137
1.03
15.0


20
19,355,809
19,707,269
152
1.24
0.0






Total cM: 35.44
Largest segment cM: 2.73
Total segments: 26
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 33.00
Q-score: 28.00
Q-score: 22.00
Q-score: 20.00
Q-score: 15.00
Q-score: 12.00
Q-score: 10.00
Q-score: 6.00
Q-score: 5.00
Q-score: 4.00

Duarte
01-05-19, 15:07
Kit Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE)

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
193,942,375
195,222,580
1.1
217


6
39,354,375
40,319,394
1.8
235


7
3,718,051
4,371,785
1.3
213


9
46,587
739,913
1.2
312


9
16,355,626
16,898,603
1.1
203


12
131,576,002
132,176,454
1.5
223



Largest segment = 1.8 cM

Total Half-Match segments (HIR) = 7.9 cM (0.219 Pct)

6 shared segments found for this comparison.

611070 SNPs used for this comparison.

53.806 Pct SNPs are full identical

We have a cousin who fought to conquer Alemannia. Have Caesar :)

Salento
01-05-19, 15:20
We have a cousin who fought to conquer Alemannia. Have Caesar :)

Strangely we both score 1.8 cM, he’s one of your top matches at MyTrueAnc., but he’s not one of mine.

Duarte
01-05-19, 15:35
Strangely we both score 1.8 cM, he’s one of your top matches at MyTrueAnc., but he’s not one of mine.

I agree. Very strange :petrified:

matty74
01-05-19, 15:43
I have some matches but not as many segments as you two:

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit A**** (**) [Migration - F2 - A] and Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE) [Migration - F2 - Z]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


3
132,610,752
133,698,349
2.0
202


8
74,272,171
75,689,462
1.1
212


11
23,420,155
24,736,493
2.0
210



Largest segment = 2.0 cM

Total Half-Match segments (HIR) = 5.1 cM (0.141 Pct)

3 shared segments found for this comparison.

405726 SNPs used for this comparison.

52.368 Pct SNPs are full identical

Comparison took 0.033 seconds.
CPU time used: 0.020 cpu seconds.

Ver: Mar 26 2019 01:00:34

matty74
01-05-19, 15:46
For some reason the SNPs didn’t copy over

Migration - F2 - A] and Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE) [Migration - F2 - Z]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


3
132,610,752
133,698,349
2.0
202


8
74,272,171
75,689,462
1.1
212


11
23,420,155
24,736,493
2.0
210



Largest segment = 2.0 cM

Total Half-Match segments (HIR) = 5.1 cM (0.141 Pct)

3 shared segments found for this comparison.

405726 SNPs used for this comparison.

52.368 Pct SNPs are full identical

Comparison took 0.033 seconds.
CPU time used: 0.020 cpu seconds.

Ver: Mar 26 2019 01:00:34

Duarte
01-05-19, 15:55
@Salento
@matty

I believe that this Roman soldier was a pervert. He was not killed in battle, but by some betrayed husband. It seems that our ancestor grandmoms liked a man in uniform. LOL :)

matty74
01-05-19, 16:03
Sounds like my paternal grandfather! He was quite the guy

How often were these Roman troopers of Germanic extraction?

EDIT: I just ran his Gedmatch. He’s clearly of Italian/Iberian origin

matty74
01-05-19, 16:21
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Comparing Kit * (*) [Migration - F2 - A] and Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE) [Migration - F2 - Z]


Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
151,918,816
153,386,833
157
1.10
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


3
26,872,883
27,868,849
121
1.04
0.0


3
132,610,596
133,699,345
202
2.03
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
74,184,144
75,482,902
148
2.33
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
34,332,179
35,685,490
150
1.09
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
23,416,345
24,739,804
210
1.97
2.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
20,985,903
21,680,363
148
1.19
0.0


12
78,929,673
80,662,602
153
2.38
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


18
64,866,869
65,550,147
156
1.23
1.0






Total cM: 14.35
Largest segment cM: 2.38
Total segments: 9
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 2.00
Q-score: 1.00
Q-score: 0.00

Comparison took 1.016 seconds.
CPU time used: 0.997 cpu seconds.

bigsnake49
01-05-19, 17:22
You're just an old fashioned girl, Angela :laughing:!

Regio X
01-05-19, 17:23
Strangely we both score 1.8 cM, he’s one of your top matches at MyTrueAnc., but he’s not one of mine.

I agree. Very strange :petrified:Not so strange. It's possible you're closer to one in ancestry and to another one in IBD segments sharing, depending on the individual and criteria used. In an "extreme" example, let's say you're Portuguese and your wife is Chinese. You'd share lots of segments, and very large ones, with your child, right? Still, you'd be closer to any other Portuguese in "ancestry" than to your child, who would be 50% Chinese.

As for the other issue, here is my opinion, or my guess. It really seems a matter of criteria, but just MyTrueAncestry can explain exactly what it's done. We saw that there are lots of false positives segments in unphased data - especially in segments smaller than 5 cM -, different allowances of error rate etc. I wonder if when MyTrueAncestry reports you share x cM with Loschbour, it's like it's reporting that the related segment is, say, WHG-like? Not sure, of course. This hypothesis could be checked running One-to-one against some other ancient WHG, but the problem is the coverage. We're not sure the correspondant segment will be available for comparisons in this another WHG individual.
Anyway, as we could see already, it's not possible to share that large segments, real ones, with people who lived so far in the past. So, again, it seems to me just a matter of knowing what the company is doing, and what info they want to transmit to the customers with this tool. So... What is the use? How to interpret the results (according to them)?

Duarte
01-05-19, 18:03
Not so strange. It's possible you're closer to one in ancestry and to another one in IBD segments sharing, depending on the individual and criteria used. In an "extreme" example, let's say you're Portuguese and your wife is Chinese. You'd share lots of segments, and very large ones, with your child, right? Still, you'd be closer to any other Portuguese in "ancestry" than to your child, who would be 50% Chinese.

As for the other issue, here is my opinion, or my guess. It really seems a matter of criteria, but just MyTrueAncestry can explain exactly what it's done. We saw that there are lots of false positives segments in unphased data - especially in segments smaller than 5 cM -, different allowances of error rate etc. I wonder if when MyTrueAncestry reports you share x cM with Loschbour, it's like it's reporting that the related segment is, say, WHG-like? Not sure, of course. This hypothesis could be checked running One-to-one against some other ancient WHG, but the problem is the coverage. We're not sure the correspondant segment will be available for comparisons in this another WHG individual.
Anyway, as we could see already, it's not possible to share that large segments, real ones, with people who lived so far in the past. So, again, it seems to me just a matter of knowing what the company is doing, and what info they want to transmit to the customers with this tool. So... What is the use? How to interpret the results (according to them)?

Thanks for the clarification Regio X.
Unfortunately, at the current stage of the discussions, we have a lot more doubts and questions to ask than answers. We do not know the methodology of MyTrueAncestry and we are still beating headlong with the information that are being returned by Genesis GEDmatch.


More one comparison Genesis GEDmatch with the Roman Soldier:
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Software Version Mar 30 2019 00
Comparing Kit [FTDNA] and Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE) [Migration - F2 - Z]


Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.

Individual marker indications:


Base Pairs with Full Match



Base Pairs with Half Match



Base Pairs with No Match




Validity of segments:


Match



No Match







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


1
11,919,271
12,605,011
132
1.99
6.0


1
35,239,992
36,182,139
111
1.05
3.0


1
114,857,644
115,876,503
219
1.03
8.0


1
170,187,309
171,371,998
361
1.22
49.0






SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_EB4566.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


3
67,073,768
68,065,679
173
1.19
10.0


3
181,958,418
182,946,304
160
1.82
5.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_BB23C5.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
116,222,219
117,114,675
161
1.36
7.0


5
141,859,640
142,398,857
148
1.47
15.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_9C9868.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
10,836,938
11,618,167
176
1.51
2.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_D34872.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


7
50,241,536
51,024,118
161
1.04
2.0


7
91,289,228
92,653,680
181
1.25
4.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_70DC50.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


9
331,490
883,226
250
1.52
19.0


9
16,364,612
16,903,446
170
1.07
1.0


9
117,054,195
117,699,745
187
1.08
11.0


9
130,829,564
131,772,389
134
1.60
6.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_E95CFE.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


10
135,656
778,318
101
1.65
3.0


10
8,534,953
8,919,297
128
1.01
3.0


10
61,854,292
63,420,938
288
1.52
25.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_289449.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
96,162,383
97,110,269
156
1.12
0.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_7558EB.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
78,847,304
79,951,566
155
1.81
13.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_AE1F28.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
50,450,040
51,000,977
117
1.20
2.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_287CCC.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


17
47,047,868
47,977,040
165
1.52
8.0


17
50,479,404
51,900,047
242
1.16
24.0


17
65,307,830
66,170,047
145
1.64
0.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_DB58B9.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


18
57,572,762
58,533,764
212
1.83
17.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_FED7AA.gif







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


22
24,147,056
25,094,393
127
1.75
2.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_Z061309_7141F1.gif






Total cM: 36.42
Largest segment cM: 1.99
Total segments: 26
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 49.00
Q-score: 25.00
Q-score: 24.00
Q-score: 19.00
Q-score: 17.00
Q-score: 15.00
Q-score: 13.00
Q-score: 11.00
Q-score: 10.00
Q-score: 8.00

Comparison took 1.071 seconds.
CPU time used: 1.037 cpu seconds.

Ver: Mar 30 2019 00

Angela
01-05-19, 18:11
Not so strange. It's possible you're closer to one in ancestry and to another one in IBD segments sharing, depending on the individual and criteria used. In an "extreme" example, let's say you're Portuguese and your wife is Chinese. You'd share lots of segments, and very large ones, with your child, right? Still, you'd be closer to any other Portuguese in "ancestry" than to your child, who would be 50% Chinese.
As for the other issue, here is my opinion, or my guess. It really seems a matter of criteria, but just MyTrueAncestry can explain exactly what it's done. We saw that there are lots of false positives segments in unphased data - especially in segments smaller than 5 cM -, different allowances of error rate etc. I wonder if when MyTrueAncestry reports you share x cM with Loschbour, it's like it's reporting that the related segment is, say, WHG-like? Not sure, of course. This hypothesis could be checked running One-to-one against some other ancient WHG, but the problem is the coverage. We're not sure the correspondant segment will be available for comparisons in this another WHG individual.
Anyway, as we could see already, it's not possible to share that large segments, real ones, with people who lived so far in the past. So, again, it seems to me just a matter of knowing what the company is doing, and what info they want to transmit to the customers with this tool. So... What is the use? How to interpret the results (according to them)?



Loschbour 1 cM, 200-400
Largest segment = 5.3 cM
Total of segments > 1 cM = 477.8 cM

I cM default value of 500
Largest segment = 3.6 cM
Total of segments > 1 cM = 46.4 cM

Has anyone ever asked these guys to check that their decimal points are in the right place????

Duarte
01-05-19, 18:38
GEDmatch® Genesis One-to-one
Autosomal Q-Matching Entry Form

This utility allows you to make detailed comparisons of 2 DNA kits using advanced matching algorithms. You can specify segment thresholds in centimorgans down to 1 cm. It is highly advised that the lower you go, the higher you set the precision parameter, or you will get many false matches for the small segments.



ABOUT Q MATCHING:

https://genesis.gedmatch.com/Documents/Qdocs.pdf

Duarte
01-05-19, 19:43
Loschbour 1 cM, 200-400
Largest segment = 5.3 cM
Total of segments > 1 cM = 477.8 cM

I cM default value of 500
Largest segment = 3.6 cM
Total of segments > 1 cM = 46.4 cM

Has anyone ever asked these guys to check that their decimal points are in the right place????

OMG!!!!!
Look at the data below. I agree with you, Angela. Someone must explain something. MyTrueAncestry ? Genesis Gedmatch? Some scholar? I'm lost.
I'll give some time in my comments in this thread so I will not be more stunned than I already am ....
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Software Version Mar 30 2019 00
Comparing Kit [FTDNA] and F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]
Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.
Individual marker indications:


Base Pairs with Full Match



Base Pairs with Half Match



Base Pairs with No Match



Validity of segments:


Match



No Match






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


1
800,007
1,781,220
132
3.25
8.0


1
5,088,062
5,684,788
234
1.26
11.0


1
25,424,889
26,483,381
144
1.28
11.0


1
31,424,889
32,256,086
164
1.53
0.0


1
35,384,605
36,757,801
145
1.13
8.0


1
42,261,889
43,978,837
320
1.37
43.0


1
50,822,880
53,218,380
252
1.08
35.0


1
63,845,218
64,538,961
147
1.09
3.0


1
66,823,134
67,676,922
207
1.16
6.0


1
80,251,768
81,317,902
258
1.02
17.0


1
92,890,344
94,510,673
268
1.30
18.0


1
102,306,723
103,612,069
223
1.04
26.0


1
106,967,467
108,139,975
270
1.14
22.0


1
109,356,524
110,307,440
224
1.20
15.0


1
147,795,939
150,961,254
176
1.15
11.0


1
182,565,274
183,932,632
255
1.49
3.0


1
203,334,114
203,982,102
150
1.16
0.0


1
211,191,894
212,675,482
286
1.07
24.0


1
214,420,058
215,362,207
239
1.21
26.0


1
215,848,062
216,690,332
216
1.59
0.0


1
218,347,150
220,454,174
450
1.59
63.0


1
238,645,291
239,570,932
268
1.90
25.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_EB4566.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
90,138
1,378,060
303
1.69
12.0


2
12,181,825
12,673,361
181
1.15
4.0


2
30,210,861
30,945,896
195
1.37
2.0


2
38,759,797
40,494,866
383
1.33
51.0


2
113,948,159
115,490,198
238
1.84
22.0


2
120,261,891
121,135,655
109
1.12
0.0


2
125,491,192
127,123,647
232
1.66
23.0


2
129,915,151
132,336,954
341
3.18
3.0


2
133,367,209
134,626,686
378
1.85
24.0


2
135,017,074
136,522,710
232
1.21
9.0


2
151,874,500
153,464,580
309
1.18
34.0


2
161,784,195
164,441,947
375
1.69
62.0


2
184,694,169
186,338,274
234
1.17
12.0


2
194,296,294
196,664,879
271
1.17
21.0


2
200,243,869
202,543,510
457
1.72
60.0


2
217,935,431
218,714,686
196
1.79
2.0


2
218,939,630
219,903,258
173
1.72
6.0


2
237,715,095
238,721,315
269
1.27
30.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_BB23C5.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


3
25,143,427
26,588,441
310
2.05
24.0


3
31,510,258
32,304,103
210
1.32
7.0


3
39,814,559
41,021,263
210
1.10
12.0


3
55,797,526
57,031,469
254
1.51
27.0


3
103,173,919
104,869,523
347
1.05
35.0


3
114,134,268
115,239,407
166
1.31
5.0


3
119,524,166
122,688,170
563
1.95
7.0


3
141,647,298
142,756,907
172
1.79
0.0


3
149,972,433
150,707,804
177
1.02
3.0


3
172,564,677
173,153,693
103
1.30
1.0


3
182,432,644
183,575,770
232
2.20
11.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_9C9868.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


4
5,078,789
5,743,781
207
2.00
8.0


4
25,976,544
27,087,570
187
2.60
8.0


4
62,276,356
63,735,874
193
1.36
5.0


4
69,177,138
70,350,357
138
1.10
2.0


4
83,059,714
84,013,292
183
1.53
0.0


4
85,056,551
86,294,733
169
1.31
0.0


4
90,458,283
91,420,358
122
1.01
9.0


4
100,588,306
101,728,821
192
1.19
3.0


4
147,529,209
148,510,474
154
1.09
4.0


4
159,314,091
160,907,341
201
1.15
4.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_D34872.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
1,957,109
2,564,243
251
2.30
12.0


5
6,704,848
7,859,702
329
2.20
29.0


5
14,028,309
14,764,934
192
1.05
18.0


5
15,589,171
16,508,674
182
1.59
12.0


5
31,928,322
32,733,418
198
1.74
11.0


5
38,176,521
38,777,383
160
1.67
1.0


5
38,848,503
39,632,634
198
1.08
22.0


5
53,282,979
54,252,825
284
1.02
18.0


5
66,288,624
67,130,616
184
1.06
14.0


5
72,591,905
73,433,727
234
1.22
9.0


5
74,558,893
75,305,574
136
1.35
8.0


5
82,053,933
82,859,485
177
1.35
5.0


5
89,367,209
90,805,092
254
1.30
31.0


5
95,948,868
97,929,966
361
1.55
40.0


5
100,277,256
101,953,047
253
1.12
22.0


5
109,492,649
110,492,586
161
1.02
7.0


5
111,136,199
113,135,019
457
1.58
61.0


5
136,475,061
140,544,992
529
2.02
8.0


5
147,183,694
148,221,473
243
1.04
30.0


5
151,426,516
152,993,589
268
1.23
14.0


5
166,608,309
167,407,738
201
1.57
10.0


5
168,197,826
170,319,789
750
5.42
98.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_70DC50.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
12,750,933
13,568,642
177
1.29
2.0


6
15,276,772
16,081,474
220
1.26
11.0


6
24,052,526
24,931,083
296
1.58
25.0


6
34,034,441
35,476,442
279
1.18
24.0


6
52,050,353
52,753,034
225
1.04
12.0


6
53,960,803
55,153,427
239
1.07
20.0


6
83,276,413
85,705,312
435
1.06
3.0


6
97,234,008
99,233,448
238
1.50
12.0


6
100,243,997
101,805,148
232
1.28
10.0


6
139,958,370
142,287,111
260
1.20
19.0


6
147,501,449
148,772,470
357
2.36
35.0


6
155,444,724
156,107,830
191
1.03
4.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_E95CFE.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


7
8,772,150
9,334,567
252
1.43
24.0


7
37,926,758
38,695,210
245
1.16
13.0


7
62,510,311
66,726,274
312
1.40
16.0


7
68,653,387
70,145,442
205
1.73
10.0


7
71,114,444
73,146,039
243
1.83
16.0


7
93,510,823
95,138,755
474
1.70
80.0


7
97,489,911
98,411,980
148
1.11
7.0


7
106,500,358
107,585,473
169
1.52
4.0


7
109,900,921
111,509,224
280
1.16
12.0


7
122,978,928
124,400,705
247
1.32
2.0


7
130,673,153
131,295,088
167
1.89
3.0


7
137,021,176
137,851,317
186
1.79
3.0


7
145,141,776
146,571,183
200
1.52
10.0


7
150,353,227
150,890,241
191
1.29
5.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_289449.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


8
657,650
1,178,457
177
1.12
2.0


8
18,212,381
18,789,374
327
1.29
38.0


8
25,534,668
26,601,394
338
1.64
32.0


8
27,886,903
28,682,594
185
1.79
7.0


8
29,866,972
31,076,640
210
1.38
11.0


8
41,846,687
47,824,371
221
1.08
22.0


8
50,653,706
52,497,178
269
1.18
15.0


8
53,885,043
55,269,940
251
1.12
37.0


8
81,944,983
82,896,400
182
1.09
0.0


8
120,994,394
122,498,253
297
1.22
21.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_7558EB.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


9
329,462
847,547
257
1.42
33.0


9
1,686,322
2,120,825
176
1.53
7.0


9
8,857,079
9,196,661
189
1.15
0.0


9
11,574,930
12,830,070
358
1.66
26.0


9
16,364,925
16,942,901
184
1.16
7.0


9
23,737,627
24,868,290
204
1.24
12.0


9
76,224,560
77,812,173
285
1.81
22.0


9
109,827,660
110,587,368
265
1.74
12.0


9
114,917,202
116,387,254
344
2.35
33.0


9
121,318,471
122,333,861
234
1.76
6.0


9
125,253,682
126,113,594
172
1.16
0.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_AE1F28.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


10
8,237,770
8,926,204
287
1.93
23.0


10
16,705,277
17,340,342
249
1.28
20.0


10
20,608,914
22,295,747
375
1.24
72.0


10
22,954,831
24,584,362
328
1.71
48.0


10
65,445,150
67,213,589
328
1.02
23.0


10
73,537,388
75,647,491
314
1.35
0.0


10
81,175,236
82,414,719
247
1.87
22.0


10
83,253,644
84,452,076
309
1.33
42.0


10
85,711,308
87,157,775
334
1.23
41.0


10
94,500,111
95,440,286
355
1.41
35.0


10
100,242,039
101,798,346
335
1.34
25.0


10
119,587,413
120,242,187
191
1.78
18.0


10
122,530,485
123,095,186
206
1.33
12.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_287CCC.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
5,669,228
6,311,226
204
1.41
1.0


11
14,254,606
15,955,113
342
1.61
31.0


11
23,574,446
24,372,661
171
1.21
9.0


11
59,611,362
60,751,569
270
1.36
9.0


11
64,937,683
67,419,855
424
1.80
61.0


11
73,882,260
76,873,620
650
2.94
111.0


11
86,648,099
87,668,824
238
1.11
9.0


11
126,414,087
127,049,090
192
1.73
7.0


11
129,415,217
130,080,017
171
1.52
2.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_DB58B9.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
4,416,304
5,060,270
229
1.88
6.0


12
12,252,078
12,900,512
173
2.55
3.0


12
18,681,767
19,702,516
233
1.42
20.0


12
21,404,321
22,149,939
287
1.08
33.0


12
28,978,308
29,748,233
216
1.36
6.0


12
31,085,341
32,242,251
296
1.18
17.0


12
48,236,623
51,375,969
548
2.03
59.0


12
63,271,387
64,402,510
244
1.06
13.0


12
78,852,008
79,747,487
139
1.52
3.0


12
95,161,375
95,804,191
161
1.59
5.0


12
116,219,715
116,844,438
161
1.02
1.0


12
117,567,564
118,332,037
302
1.96
12.0


12
124,973,786
125,797,855
258
2.64
10.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_FED7AA.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


13
22,336,739
22,805,796
252
1.43
21.0


13
26,700,180
27,502,147
246
2.03
14.0


13
30,898,216
31,447,375
169
1.70
2.0


13
35,135,179
36,202,269
205
1.40
2.0


13
37,293,677
37,942,699
151
1.10
3.0


13
71,118,371
72,331,984
283
1.57
19.0


13
96,132,624
97,533,432
220
1.05
14.0


13
105,627,453
106,110,895
168
1.74
0.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_7141F1.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


14
25,591,902
26,140,012
159
1.03
0.0


14
34,744,710
37,190,198
483
2.44
57.0


14
37,278,322
38,111,870
159
1.23
5.0


14
54,164,706
54,839,896
153
1.02
3.0


14
57,298,333
58,126,187
195
1.47
13.0


14
67,268,008
69,139,662
376
1.05
42.0


14
72,561,999
73,156,606
216
1.00
24.0


14
78,799,653
80,805,839
446
2.27
5.0


14
86,993,557
88,008,255
187
1.17
2.0


14
98,266,772
99,021,317
214
1.74
11.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_371EFA.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


15
27,464,258
27,969,566
163
2.18
4.0


15
32,303,657
33,478,518
266
3.34
11.0


15
33,927,764
34,871,296
237
2.33
12.0


15
35,085,201
36,043,491
205
1.78
11.0


15
45,425,055
46,605,049
233
1.41
9.0


15
68,878,577
69,938,058
199
2.14
10.0


15
70,490,464
71,581,554
200
2.09
15.0


15
81,126,907
82,176,429
198
2.19
0.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_62A9E2.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
8,310,880
8,873,493
202
1.59
0.0


16
12,232,547
13,249,626
367
3.13
35.0


16
14,377,573
16,278,446
342
1.78
33.0


16
20,106,198
21,620,547
238
2.22
19.0


16
22,871,312
23,724,753
166
1.42
4.0


16
50,725,193
51,276,862
144
1.25
1.0


16
71,458,581
72,911,739
204
1.14
6.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_25E145.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


17
18,855,611
20,865,013
222
1.19
24.0


17
47,481,514
48,184,377
164
1.54
11.0


17
50,211,542
51,327,037
201
1.05
13.0


17
53,453,103
54,124,970
185
1.22
11.0


17
58,218,881
59,379,738
127
1.09
8.0


17
75,306,521
75,768,225
172
1.45
1.0


17
76,630,164
77,145,797
144
2.80
1.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_FF007B.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


18
8,792,476
9,814,778
330
2.99
30.0


18
9,986,752
10,395,219
190
1.68
1.0


18
28,363,540
29,580,394
364
1.08
5.0


18
35,055,998
37,876,933
530
2.13
2.0


18
54,052,170
55,236,427
269
1.29
32.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_F062C1.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


19
12,616,492
13,590,331
192
1.52
19.0


19
29,436,748
31,820,493
544
4.38
72.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_C00853.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


20
5,782,559
6,411,203
203
1.83
3.0


20
8,415,399
9,263,806
257
1.91
22.0


20
19,058,288
19,992,313
366
2.76
40.0


20
37,710,775
40,326,112
515
2.53
6.0


20
53,612,140
54,379,143
198
1.14
15.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_D127F7.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


21
32,527,137
33,514,887
255
1.70
13.0


21
36,222,560
36,856,927
208
1.53
0.0


21
43,815,876
44,577,524
259
1.57
9.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_76231A.gif





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


22
22,333,218
23,258,231
93
2.48
1.0


22
32,828,343
33,459,131
228
1.09
11.0


22
48,567,467
49,027,661
225
3.29
2.0





SNP Density:


https://genesis.gedmatch.com/gifs/Q_ZR5632056_F999918_96E9E7.gif



Total cM: 349.56
Largest segment cM: 5.42
Total segments: 223
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 111.00
Q-score: 98.00
Q-score: 80.00
Q-score: 72.00
Q-score: 63.00
Q-score: 62.00
Q-score: 61.00
Q-score: 60.00
Q-score: 59.00
Q-score: 57.00

Comparison took 1.097 seconds.
CPU time used: 1.037 cpu seconds.

Ver: Mar 30 2019 00

Duarte
01-05-19, 20:39
I'm sorry Mr. Q, but I don't believe in you. Do what? :))

GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0I
Comparing Kit [FTDNA] and F999937 (NE1, Hungary, 7.2ky) [GEDmatch Xfer]
Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.

Total cM: 519.45
Largest segment cM: 5.30
Total segments: 321
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 102.00
Q-score: 80.00
Q-score: 77.00
Q-score: 73.00
Q-score: 70.00
Q-score: 68.00
Q-score: 63.00
Q-score: 58.00
Q-score: 55.00
Q-score: 51.00

Comparison took 1.157 seconds.
CPU time used: 1.098 cpu seconds.

Salento
01-05-19, 23:49
Q matching 1/1

Kit F999937 (NE1, Hungary, 7.2ky)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.

Total cM: 567.36
Largest segment cM: 4.23
Total segments: 363
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 134.00
Q-score: 120.00
Q-score: 118.00
Q-score: 116.00
Q-score: 107.00
Q-score: 94.00
Q-score: 90.00
Q-score: 88.00
Q-score: 87.00
Q-score: 86.00

Duarte
02-05-19, 00:26
Q matching 1/1

Kit F999937 (NE1, Hungary, 7.2ky)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.

Total cM: 567.36
Largest segment cM: 4.23
Total segments: 363
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 134.00
Q-score: 120.00
Q-score: 118.00
Q-score: 116.00
Q-score: 107.00
Q-score: 94.00
Q-score: 90.00
Q-score: 88.00
Q-score: 87.00
Q-score: 86.00

Hi cousin.
How have you been? Everything is going all right by here. Hope all is all right with you too. LOL.
Cool results, Salento, or better, cousin:)) :grin:

matty74
02-05-19, 00:39
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Software Version Mar 30
Comparing Kit (*) [Migration - F2 - A] and F999937 (NE1, Hungary, 7.2ky) [GEDmatch Xfer]


Precision: 30.0
cM threshold: 2.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


1
11,013,286
12,184,423
240
3.21
14.0


1
56,760,177
57,987,253
289
2.13
14.0


1
61,377,247
62,506,473
251
2.22
12.0


1
116,000,680
117,435,020
227
2.05
12.0


1
150,799,755
153,743,234
356
2.25
39.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
169,933,741
171,224,155
225
2.55
0.0


2
199,148,418
202,383,316
354
2.48
33.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


4
17,228,017
19,821,565
289
2.70
11.0


4
40,953,139
42,193,350
214
2.31
9.0


4
152,773,713
154,448,872
265
3.21
10.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
17,745,762
19,847,373
283
2.14
12.0


5
178,773,041
180,015,141
221
2.32
4.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
14,456,739
15,747,582
229
2.38
12.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


7
15,042,959
16,700,447
318
2.32
11.0


7
82,014,592
83,431,203
230
2.03
8.0


7
145,206,498
146,969,399
210
2.10
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


8
73,000,452
74,197,195
237
2.46
1.0


8
81,195,187
83,516,216
307
2.60
21.0


8
101,992,193
103,195,988
276
2.87
19.0


8
106,837,240
109,595,712
337
2.26
13.0


8
122,182,310
123,487,582
209
2.40
5.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


9
1,082,544
1,999,277
346
3.07
16.0


9
12,139,870
13,919,776
421
2.92
52.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


10
72,294,836
72,991,095
214
2.06
13.0


10
116,114,636
117,929,704
246
2.18
4.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
20,264,424
21,094,330
213
2.30
13.0


11
78,857,223
80,381,669
380
2.72
2.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
20,624,924
22,161,969
314
2.46
29.0


12
54,471,280
56,815,922
305
3.08
19.0


12
101,215,827
102,982,626
295
2.27
17.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


14
91,147,939
92,340,901
188
2.02
0.0


14
99,053,964
99,666,400
201
2.11
4.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


15
28,179,306
30,160,474
237
4.67
12.0


15
34,385,784
35,422,674
192
2.24
2.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
50,523,194
51,499,412
202
2.14
8.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


17
34,420,079
36,022,817
205
2.09
6.0


17
54,278,715
55,150,205
166
2.39
3.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


18
12,289,151
13,884,009
283
2.49
13.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


20
42,077,436
43,275,001
246
2.55
11.0


20
54,333,756
55,111,371
178
2.18
3.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


21
36,522,993
38,089,097
291
3.94
18.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


22
27,900,255
29,653,611
284
2.76
21.0






Total cM: 105.65
Largest segment cM: 4.67
Total segments: 42
Total gap-induced breaks: 1
Max gap: 2.04
..... gap: 7007415-8106406 (tel:7007415-8106406) on chromosome 8
Top 10 Q scores:
Q-score: 52.00
Q-score: 39.00
Q-score: 33.00
Q-score: 29.00
Q-score: 21.00
Q-score: 19.00
Q-score: 18.00
Q-score: 17.00
Q-score: 16.00
Q-score: 14.00

Comparison took 0.862 seconds.
CPU time used: 0.844 cpu seconds.

Ver: Mar 30

Duarte
02-05-19, 00:51
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Software Version Mar 30
Comparing Kit (*) [Migration - F2 - A] and F999937 (NE1, Hungary, 7.2ky) [GEDmatch Xfer]


Precision: 30.0
cM threshold: 2.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


1
11,013,286
12,184,423
240
3.21
14.0


1
56,760,177
57,987,253
289
2.13
14.0


1
61,377,247
62,506,473
251
2.22
12.0


1
116,000,680
117,435,020
227
2.05
12.0


1
150,799,755
153,743,234
356
2.25
39.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
169,933,741
171,224,155
225
2.55
0.0


2
199,148,418
202,383,316
354
2.48
33.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


4
17,228,017
19,821,565
289
2.70
11.0


4
40,953,139
42,193,350
214
2.31
9.0


4
152,773,713
154,448,872
265
3.21
10.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
17,745,762
19,847,373
283
2.14
12.0


5
178,773,041
180,015,141
221
2.32
4.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
14,456,739
15,747,582
229
2.38
12.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


7
15,042,959
16,700,447
318
2.32
11.0


7
82,014,592
83,431,203
230
2.03
8.0


7
145,206,498
146,969,399
210
2.10
0.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


8
73,000,452
74,197,195
237
2.46
1.0


8
81,195,187
83,516,216
307
2.60
21.0


8
101,992,193
103,195,988
276
2.87
19.0


8
106,837,240
109,595,712
337
2.26
13.0


8
122,182,310
123,487,582
209
2.40
5.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


9
1,082,544
1,999,277
346
3.07
16.0


9
12,139,870
13,919,776
421
2.92
52.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


10
72,294,836
72,991,095
214
2.06
13.0


10
116,114,636
117,929,704
246
2.18
4.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
20,264,424
21,094,330
213
2.30
13.0


11
78,857,223
80,381,669
380
2.72
2.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
20,624,924
22,161,969
314
2.46
29.0


12
54,471,280
56,815,922
305
3.08
19.0


12
101,215,827
102,982,626
295
2.27
17.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


14
91,147,939
92,340,901
188
2.02
0.0


14
99,053,964
99,666,400
201
2.11
4.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


15
28,179,306
30,160,474
237
4.67
12.0


15
34,385,784
35,422,674
192
2.24
2.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
50,523,194
51,499,412
202
2.14
8.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


17
34,420,079
36,022,817
205
2.09
6.0


17
54,278,715
55,150,205
166
2.39
3.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


18
12,289,151
13,884,009
283
2.49
13.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


20
42,077,436
43,275,001
246
2.55
11.0


20
54,333,756
55,111,371
178
2.18
3.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


21
36,522,993
38,089,097
291
3.94
18.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


22
27,900,255
29,653,611
284
2.76
21.0






Total cM: 105.65
Largest segment cM: 4.67
Total segments: 42
Total gap-induced breaks: 1
Max gap: 2.04
..... gap: 7007415-8106406 (tel:7007415-8106406) on chromosome 8
Top 10 Q scores:
Q-score: 52.00
Q-score: 39.00
Q-score: 33.00
Q-score: 29.00
Q-score: 21.00
Q-score: 19.00
Q-score: 18.00
Q-score: 17.00
Q-score: 16.00
Q-score: 14.00

Comparison took 0.862 seconds.
CPU time used: 0.844 cpu seconds.

Ver: Mar 30

Hi matty.
The world is a enormous family.
This is great. :grin:

Salento
02-05-19, 01:52
Hi cousin.
How have you been? Everything is going all right by here. Hope all is all right with you too. LOL.
Cool results, Salento, or better, cousin:)) :grin:

I’m doing just fine Cugino.

I was looking at some other members’ results, I think I found a Brother from another Mother! lol 😀

Duarte
02-05-19, 02:18
I’m doing just fine Cugino.
I was looking at some other members’ results, I think I found a Brother from another Mother! lol ������

:grin::grin::grin::cool-v:



Altai Neanderthal
Denisova Cave, Siberia
F999902
F


50,000 years



GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Comparing [FTDNA] and F999902 (Altai N., Siberia, 50ky) [GEDmatch
Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
100,308,021
101,176,180
231
1.28
6.0




Total cM: 1.28
Largest segment cM: 1.28
Total segments: 1
Total gap-induced breaks: 1
Max gap: 2.04
..... gap: ... on chromosome.....

Comparison took 0.967 seconds.
CPU time used: 0.964 cpu seconds.

matty74
02-05-19, 02:59
@Duarte, I followed your instructions and ran the One-to-One "Q" matching test vs that Saami/Kola kit I ran last night. I'm not sure what my relationship is with this person, but I assume we share some genetic affinity, just not clear as to how much.

GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Software Version Mar 30 2019
Comparing Kit - (*) [Migration - F2 - A] and M109244 (Saami Kola 25) [Migration - V3 - M]


Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.
Total cM: 242.80
Largest segment cM: 5.13
Total segments: 114
Total gap-induced breaks: 1
Max gap: 2.04
..... gap: 7007415-8094406 on chromosome 8
Top 10 Q scores:
Q-score: 58.00
Q-score: 35.00
Q-score: 31.00
Q-score: 26.00
Q-score: 25.00
Q-score: 24.00
Q-score: 22.00
Q-score: 21.00
Q-score: 19.00
Q-score: 17.00

Comparison took 0.845 seconds.
CPU time used: 0.844 cpu seconds.

matty74
02-05-19, 03:06
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit - (*) [Migration - F2 - A] and M077607 (Saami Kola 5) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.

Largest segment = 5.0 cM

Total Half-Match segments (HIR) = 175.0 cM (4.881 Pct)

82 shared segments found for this comparison.

371288 SNPs used for this comparison.

46.491 Pct SNPs are full identical

Comparison took 0.047 seconds.
CPU time used: 0.017 cpu seconds.

matty74
02-05-19, 03:08
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Software Version Mar 30 2019
Comparing Kit - (*) [Migration - F2 - A] and M077607 (Saami Kola 5) [Migration - V3 - M]


Precision: 30.0
cM threshold: 2.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.

Total cM: 129.31
Largest segment cM: 5.03
Total segments: 46
Total gap-induced breaks: 1
Max gap: 2.04
..... gap: 7007415-8094406 on chromosome 8
Top 10 Q scores:
Q-score: 32.00
Q-score: 31.00
Q-score: 23.00
Q-score: 22.00
Q-score: 21.00
Q-score: 20.00
Q-score: 19.00
Q-score: 18.00
Q-score: 17.00
Q-score: 16.00

Comparison took 0.815 seconds.
CPU time used: 0.814 cpu seconds.

matty74
02-05-19, 03:10
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0Software Version Mar 30 2019
Comparing Kit - (*) [Migration - F2 - A] and F999935 (Ust-Ishim,Siberia, 45ky) [GEDmatch Xfer]


Precision: 30.0
cM threshold: 2.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
4,485,192
5,361,397
167
2.51
0.0


2
219,259,844
220,656,956
185
2.25
11.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


3
172,564,788
174,092,928
247
2.69
13.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


4
40,739,635
41,883,483
226
2.27
7.0


4
187,693,326
188,961,336
238
3.09
5.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
73,992,406
75,479,786
182
2.65
1.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
12,409,416
14,144,207
318
2.71
22.0


6
42,407,020
43,794,144
201
3.21
12.0


6
147,993,054
149,066,468
272
2.38
6.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


7
43,229,414
45,190,414
251
2.66
3.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


8
18,656,805
19,733,568
349
2.13
21.0


8
29,341,206
31,076,640
275
2.22
13.0


8
126,672,930
128,289,591
328
2.96
6.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


9
100,305,698
102,383,474
374
2.25
42.0


9
121,468,282
122,623,813
214
2.04
12.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


10
30,090,748
31,102,222
268
2.27
2.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
4,423,035
5,539,134
331
2.91
30.0


12
10,925,439
12,010,736
171
2.15
3.0


12
78,723,899
80,572,243
205
2.66
14.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


13
41,992,286
44,380,753
436
3.37
36.0


13
73,996,850
75,183,579
275
2.23
18.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


14
31,167,434
32,895,633
258
3.76
8.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


15
87,436,369
88,475,356
199
2.16
8.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
4,404,620
5,794,312
300
2.81
19.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


17
56,233,034
59,374,625
239
2.56
30.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


20
58,098,827
59,179,783
278
4.56
16.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


22
49,065,116
49,660,492
229
3.66
0.0






Total cM: 73.14
Largest segment cM: 4.56
Total segments: 27
Total gap-induced breaks: 1
Max gap: 2.04
..... gap: 7007415-8106406 on chromosome 8
Top 10 Q scores:
Q-score: 42.00
Q-score: 36.00
Q-score: 30.00
Q-score: 22.00
Q-score: 21.00
Q-score: 19.00
Q-score: 18.00
Q-score: 16.00
Q-score: 14.00
Q-score: 13.00

Comparison took 0.938 seconds.
CPU time used: 0.936 cpu seconds.

Salento
02-05-19, 03:33
Neanderthal

one to one

Kit F999902 (Altai N., Siberia, 50ky)

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


6
31,320,810
32,594,328
1.1
201



Largest segment = 1.1 cM

Total Half-Match segments (HIR) = 1.1 cM (0.031 Pct)

1 shared segments found for this comparison.

630515 SNPs used for this comparison.

47.147 Pct SNPs are full identical

~~~~~~~~~~~

Q-Matching one to one

Kit F999902 (Altai N., Siberia, 50ky)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
31,234,381
32,611,641
200
1.18
29.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


13
73,108,279
73,752,356
140
1.21
4.0



Total cM: 2.39
Largest segment cM: 1.21
Total segments: 2
Total gap-induced breaks: 1
Max gap: 2.04
..... gap: ...... on chromosome ...(edited .. Priv.)
Top 10 Q scores:
Q-score: 29.00
Q-score: 4.00

Salento
02-05-19, 05:58
Some Archaic Matches
(from the legacy GedM, old IMG, now I get an error.)

https://i.imgur.com/1uwrDfm.jpg

Duarte
02-05-19, 13:17
@Duarte, I followed your instructions and ran the One-to-One "Q" matching test vs that Saami/Kola kit I ran last night. I'm not sure what my relationship is with this person, but I assume we share some genetic affinity, just not clear as to how much.

GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0

Software Version Mar 30 2019
Comparing Kit - (*) [Migration - F2 - A] and M109244 (Saami Kola 25) [Migration - V3 - M]


Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.
Total cM: 242.80
Largest segment cM: 5.13
Total segments: 114
Total gap-induced breaks: 1
Max gap: 2.04
..... gap: 7007415-8094406 on chromosome 8
Top 10 Q scores:
Q-score: 58.00
Q-score: 35.00
Q-score: 31.00
Q-score: 26.00
Q-score: 25.00
Q-score: 24.00
Q-score: 22.00
Q-score: 21.00
Q-score: 19.00
Q-score: 17.00

Comparison took 0.845 seconds.
CPU time used: 0.844 cpu seconds.

Ancient DNA shows the Sámi and Finns share identical Siberian genes November 27, 2018 , University of Helsinki (http://www.helsinki.fi/)

https://i.imgur.com/LRuE5mC.jpg

The first study on the DNA of the ancient inhabitants of Finland has been published, with results indicating that an abundance of genes reached Finland all the way from Siberia.

Genetic material from Siberia has been found in the inhabitants of the Kola Peninsula from as far back as approximately 4,000 years ago, later spreading also to Finland. The study also corroborates the assumption that people genetically similar to the Sámi lived much further south in Finland than today even during the Iron Age.
The genetic samples (https://phys.org/tags/genetic+samples/) compared in the study were collected from human bones found in a 3,500-year-old burial place in the Kola Peninsula and the 1,500-year-old lake burial site at Levänluhta in South Ostrobothnia, Finland. All of the samples contained identical Siberian genes.


Siberian origin remains perceptible
The ancient DNA has also been compared to modern populations. Siberian origins are still visible in the Sámi, Finns and other populations of the Finno-Ugric language family.
"However, it has been mixed up with the European genome. Of all European populations, modern Sámi are the most evident representatives of the Siberian genome. As for the title of the modern people with the largest Siberian genetic component, that privilege goes to the Nganasan people living in northern Siberia," says Päivi Onkamo, head of the SUGRIGE project at the Universities of Helsinki and Turku.
The results make it possible to hypothesise that the living habits, languages and culture of ancient Siberians and the communities that inhabited Finland in the Bronze and Iron Ages may have been in active contact with each other, regardless of the long distance between them. Part of the population (https://phys.org/tags/population/) may have travelled extensively, trading and moving from one settlement to another according to seasonal changes.

https://i.imgur.com/7fFJRHx.jpg

The deceased in the Levänluhta site most closely resemble the Sámi
The project succeeded in mapping out the entire genome from the bones of eleven individuals. From the Kola Peninsula, the bones of six individuals were collected from a 3,500-year-old burial place, while those of two individuals were found from another location dating back to the 18th and 19th century. In the case of the bones found in the Levänluhta site in South Ostrobothnia, the entire genome was mapped for three individuals.


Levänluhta is one of the oldest burial sites in Finland with preserved human bones (https://phys.org/tags/human+bones/). The deceased were buried in a lake located at the spot, which explains why the bones have been so well preserved.
The study indicates that the local people were more closely related to today's Sámi than to Finns.
"A population genetically similar to the Sámi has at one time inhabited Finland further south than could be concluded from the settlements of the modern Sámi populations," says Kerttu Majander, a researcher at the University of Helsinki and the Max Planck Institute for the Science of Human History in Germany.



"According to another recently published study, the influence of the Sámi has been observed in the names of the Levänluhta region," adds Dr. Anna Wessman at the University of Helsinki, project manager of the Levänluhta project .

https://phys.org/news/2018-11-ancient-dna-smi-finns-identical.html

Duarte
02-05-19, 13:34
Some Archaic Matches
(from the legacy GedM, old IMG, now I get an error.)

https://i.imgur.com/1uwrDfm.jpg

Compare with that in Genesis.
There may be matches with some samples:



Altai Neanderthal
Denisova Cave, Siberia
F999902
F


50,000 years




Denisova
Denisova Cave, Siberia
F999903
F


30,000 years




Palaeo-Eskimo
Qeqertarsuaq, Greenland
F999906
M
Q1a
D2a1
4,000 years
Palaeo-Eskimo 2000 BC DNA


Clovis-Anzick-1
Montana, North America
F999919
M
Q-Z780
D4h3a
12,500 years
Matches Living people.


Mal’ta
South - Central Siberia
F999914
M
R
U
24,000 years
Matches Living people on X Chromosome.


La Braña-Arintero
León, Spain
F999915
M
C-V183
U5b2c1
7,000 years
Analyzing La Braña-Arintero Ancient DNA


Motala-12
Östergötland, Sweden
F999917
M
I-L460
U2e1
7,000 years
My Analysis of Motala-12 ancient DNA


LBK
Stuttgart, Germany
F999916
F

T2c2
7,500 years
Matches Living people


Loschbour
Loschbour, Luxembourg
F999918
M
I-L460
U5b1a
8,000 years
Matches Living people


Ajvide58
Sweden
F999924
M
I-CTS772
U4d
5000 years
Ajvide58 DNA Analysis


Gökhem2
Sweden
F999934
F

H1c
5000 years
Gökhem2 Ancient DNA Analysis


Hinxton-2
Cambridgshire, UK
F999921
F

H2a2b1
1300 years
Hinxton-2 Analysis


Hinxton-3
Cambridgshire, UK
F999922
F

K1a4a1a2b
1300 years
Hinxton-3 Analysis


Hinxton-4
Cambridgshire, UK
F999925
M
R-DF25
H1ag1
2000 years
Hinxton-4 has X-Matches with living people


Hinxton-5
Cambridgshire, UK
F999926
F

H2a2a1
1300 years
Hinxton5 Ancient DNA Analysis


KO1
Tiszaszőlős-Domaháza, Hungary
F999931
M
I-L68
R3
5650-5780 cal BC
Analysis of Neolithic KO1 genome


NE1
Polgár-Ferenci-hát, Hungary
F999937
F

U5b2c
5070-5310 cal BC
Ancient NE1 Matches living people


NE5
Kompolt - Kigyósér, Hungary
F999927
M
C-F3393
J1c
4990-5210 cal BC
Ancient Hungarian Genome NE5 Analysis


NE6
Apc-Berekalja I., Hungary
F999932
M
C-P255
K1a3a3
4950-5300 cal BC
Analysis of Hungarian genome-NE6


NE7
Apc-Berekalja I., Hungary
F999928
M
I-L1228
N1a
4360-4490 cal BC
Ancient Hungarian genome - NE7


CO1
Apc-Berekalja I., Hungary
F999930
F

H
2700-2900 cal BC
Analysis of Copper age genome CO1


BR2
Ludas-Varjú-dűlő, Hungary
F999933
M
J-M67
K1a1a
1110-1270 cal BC
Ancient BR2 matches living people


IR1
Ludas-Varjú-dűlő, Hungary
F999929
M
N-M231
G2a1
830-980 cal BC
Ancient Hungarian genome - IR1


Ust'-Ishim
Ust'-Ishim, Siberia
F999935
M
K-M526
R
45,000 years
Ust'-Ishim matches with living people!


Kostenki14
European Russia
F999936
M
C-V199
U2
38,700-36,200 years
Kostenki14 Ancient DNA Analysis


RISE00
Sope, Estonia
F999955
F

H5a1
~2000 years




RISE94
Viby, Sweden
F999956
M
K-M1221
K1a2a
4025 years
RISE94 has matches with living people


RISE97
Fredriksberg, Sweden
F999945

CT-Y1580
K2a5
3590 years




RISE98
L Beddinge 56, Sweden
F999941
M
R-M405
K1b1a
3736 years
RISE98 has matches with living people


RISE150
Przeclawice, Poland
F999948


U5a1b1
3469 years
RISE150 has matches with living people


RISE174
Oxie 7, Sweden
F999943


W1
1521 years
RISE174 has matches with living people


RISE395
Bol'shekaraganskii, Russia
F999949
F

U2e1
3540 years
RISE395 has matches with living people


RISE479
Erd 4, Hungary
F999944
M
I-L1228
T2b
~2000 years




RISE493
Sabinka 2, Russia
F999950
M
Q-L712
C4a1c
3214 years
RISE493 has matches with living people


RISE495
Arban 1, Russia, Karasuk, BA
F999958
M
R-F3105
D4j1





RISE496
Arban 1, Russia
F999959
F

U5a1a2a
3070 years

Not Found


RISE497
Arban 1, Russia
F999957

F-P142
A2f2
~2000 years
RISE497 has matches with living people
Not Found


RISE499
Bystrovka, Russia
F999952
F

H5a1
~2000 years




RISE500
Kytmanovo, Russia
F999947
F

U4d1
~2000 years

Not found


RISE502
Bystrovka, Russia
F999960
F

U5a1d
3140 years

Not found


RISE503
Kytmanovo, Russia
F999961


U2e2
3328 years

Not found


RISE504
Kytmanovo, Russia
F999962
M
J-CTS3732
C4a1d
1208 years

Not found


RISE505
Kytmanovo, Russia
F999953


U4a1b
3391 years
RISE505 has matches with living people
Not found


RISE509
Bateni, Russia
F999942
F

T2c
4186 years

Not found


RISE511
Bateni, Russia
F999967
F

J2a2a
4224 years

Not found


RISE523
Kapova cave, Russia
F999966


G2a1
3192 years

Not found


RISE548
Temrta IV, Russia
F999968
M
R-L23
U4
~2000 years




RISE552
Ulan IV, Russia
F999946
M
I-S12195
T2a1a
3940 years
RISE552 has matches with living people


RISE569
Brandysek, Czech Republic
F999954


H1af2
~2000 years




RISE577
Velke Prilepy, Czech Republic
F999951


T2b
~2000 years




RISE601
Verh-Uimon, Russia
F999969
M

M8a1
~2000 years




RISE602
Sary-Bel, Russia
F999965
M
J-M410
C4
~2000 years




Bot15
Rio Doce, Minas Gerais, Brazil
F999963
M
C-PH3092
B4a1a1a
~1600 AD




Bot17
Rio Doce, Minas Gerais, Brazil
F999964
M
C-Z31878
B4a1a1
~1600 AD




Kennewick Man
Kennewick, Washington state, USA
F999970
M
Q-M199
X2a
8358 years





You can see more ancestral samples here:



GEDmatch, list of ancient samples with kit numbers.



Here are kit numbers of ancient samples on Gedmatch, from my database. Please post kits with description of samples, and all you know about these samples.

Sorry, I didn't have time to put it in a coherent database.



M825671 I1293 Iran Mesolithic [9100-8600 BC] HV2 J2a-M410>CTS1085


M595455 I1670 Iran Chalcolithic [4839-4617 BC] U3a'c -


M902476 I1662 Iran Chalcolithic [4831-4612 BC] K1a12a J2a-M410>PF5008


M155294 I1674 Iran Chalcolithic [3972-3800 BC] I1c G1-M342>GG372


M873184 I1665 Iran Chalcolithic [3956-3796 BC] U7a -


M381564 F38 Iran EIA [971-832 BC] N1a3a R1b-Z2103>L584>Y23838


T637158 I1955 Iran Late Medieval [1430–1485 AD] U1a1 -





M417230 I1407 Armenia Chalcolithic [4350-3700 BC] H L1a-M27


M133098 I1409 Armenia Chalcolithic [4229-3985 BC] U4a -


M162111 I1632 Armenia Chalcolithic [4230-4000 BC] K1a8 L1a-M27


M734029 I1634 Armenia Chalcolithic [4330-4060 BC] H2a1 L1a-M27


M731608 I1633 Armenia EBA [2619-2410 BC] H1u -


M340653 I1635 Armenia EBA [2619-2465 BC] X2f R1b-M343>L389>V1636


M487536 RISE413 Armenia MBA [1906-1698 BC] T2c1f R1b-M343>L389>P297


M124777 RISE416 Armenia MBA [1643-1445 BC] K1a17a E-M84


M575241 RISE423 Armenia MBA [1402-1211 BC] T2a E-M84>CTS1096 (Y5412-, Y14899-, PF6751-)


M578721 RISE408 Armenia LBA [1209-1009 BC] I5c J2b-M102>L283>CTS3681


M263493 RISE412 Armenia LBA [1193-945 BC] U4c1a -


M062682 RISE396 Armenia LBA [1192-937 BC] H6b -


M497255 RISE397 Armenia LBA [1048-855 BC] T1a2 R1b-Z2103>Z2106>BY3296





M471006 I1705 Jordan EBA [2198-1966 BC] H14a J1-P58>Z2324


M682666 I1730 Jordan EBA [2489-2299 BC] R0a1a J2b-M205>PF7331





M987765 Tep001 Anatolia Early Neolithic [7014 BC] K1a n/a


M830273 Tep003 Anatolia Early Neolithic [7174 BC] N1b1a G2a-P287>P15>PF3159


M300627 Kum4 Anatolia EBA [3500–2800 BC] n/a -





M733797 RISE109 Unetice EBA Poland [1954-1772 BC] U4 -


M453254 RISE154 Unetice EBA Poland [1925-1765 BC] K1a4a1 -


M239638 RISE586 Unetice EBA Czech Republic [?] K1b1a -


M484113 RISE139 Unetice Poland [2135-1923 BC] U2e1f1 n/a


M069028 RISE145 Unetice Poland [2188-1958 BC] H6a1b -





M483824 RISE598 Lithuania LBA [908-485 BC] H2a2 R1a-L62>M417





M669778 RISE1 Corded Ware Poland [2865-2578 BC] K1b1a1 R1b-M343>L754


M191719 RISE431 Corded Ware Proto-Unetice Poland [2286-2048 BC] T2e R1a-M417





M631469 RISE349 Hungary MBA [2034-1748 BC] T2b3 -


M375165 RISE373 Maros Hungary [1886-1696 BC] K1a2a -


M974598 RISE374 Maros Hungary [1866-1619 BC] T2 G2a-P287>P15>PF3177





M130094 RISE61 Battle Axe Denmark [2650-2300 BC] J1c4 R1a-M417>Z284>CTS8401





M370663 I0419 Potapovka [2200-1900 BC] U2e1h R1a-M417>Z93


M630274 I0432 Poltavka outlier [2925-2536 BC] U5a1c R1a-M417>Z94





M214301 RISE595 Montenegro LBA [?] U5a2 -


M836655 RISE596 Montenegro IA [?] X1'2'3 -





M030961 K8 Bulgaria IA [450-400 BC] n/a -


M212372 P192-1 Bulgaria IA [800-500 BC] U3b E-M78>Z1919


M540478 T2G2 Bulgaria IA [850-700 BC] HV(16311) -


M777769 V2 Bulgaria LBA [1500-1100 BC] n/a -





T699825


T135721


T319214








Европа


M040853 Костенки-14 -объединение старого и нового сиквенса


M384220 GoyetQ116-1


M561778 Vestonice16


M225927 el Miron


M236020 Villabruna (WHG) геномы отсюда





M276583 la Brana (WHG) - объединение с новым сиквенсом


M645731 I0017-Motala12 - объединение с новым сиквенсом


M325047 I1507-KO1 (HungaryWHG) - объединение с новым сиквенсом


M600205 Bichon





Африка


M284914 Mota1





EHG и хвалынцы


M643041 I0061 OleniyOstrov - объединение с новым сиквенсом


M218547 I0124 Samara EHG


M340431 I0122 Khvalynsk


M737081 Khvalynsk EHG merged (I0122+I0124+I0433)





M925976 AfontovaGora3+AfontovaGora2





Иран и Ближний Восток -от мезолита до бронзового века (тема):


По одному наиболее качественно прочитанному от каждой группы (натуфийцев объединил, итоговый геном процентов на 80 принадлежит I1072. Hotu загружать не стал, слишком плохо прочитан).





Natufian_merged M041601


I0867-LevantN M115616


I1706-LevantBA M291439


I1290-IranN M967114


I1671-IranLN M937770


I1661-IranChL M124870


I1631-ArmeniaChL M926386


I1658-ArmeniaEBA M536324


I1656-ArmeniaMLBA M182163


I1584-AnatolianChL M091434





M677694 Satsurblia CHG


M603839 M551062 Kotias CHG





Неолит (северо-западная Анатолия):


M897077 I0707 Anatolian EF


M936428 I0709 Anatolian EF


M754279 I0746 Anatolian EF


M411713 I1583 Anatolian EF





Европейский неолит


M572125 I0054 LBK - объединение с новым сиквенсом


M512608 I0100 LBK - объединение с новым сиквенсом


M226800 I0172 EsperstedtMN - объединение с новым сиквенсом


M405327 I1506-NE1 (HungaryEN) - объединение с новым сиквенсом


M923528 I1496-NE6 (HungaryEN) - объединение с новым сиквенсом


M249240 I1495-NE7 (HungaryEN) - объединение с новым сиквенсом


M261272 I1497 CO1 (Hungary MN) - объединение с новым сиквенсом


M641265 I0410 SpainEN - объединение с новым сиквенсом


M471235 I0412 SpainEN - объединение с новым сиквенсом


M815035 I0406 SpainMN - объединение с новым сиквенсом


M979495 I0408 SpainMN - объединение с новым сиквенсом


M547763 I1300 Spain Chalcolithic


M849224 ATP2


M681225 I1502 BR1


M427312 Ballinahatty IrelandNE


M232268 (Rathlin1 IrelandBA)





Шнуровики, ККК и далее


MM107790 I0118 Alberstedt LNBA - объединение с новым сиквенсом


M324645 I0112 BellBeaker - объединение с новым сиквенсом


M224345 I0103 Corded Ware Germany - объединение с новым сиквенсом


M348611 I0104 Corded Ware Germany - объединение с новым сиквенсом


M313201 I0099 HalberstadtLNBA - объединение с новым сиквенсом


M671253 RISE71_Nordic_LN


M370010 Unetice I0047


M425717 I0116 Unetice


M588222 I0164 Unetice


M913021 RISE00_Corded_Estonia





Ямная, Афанасьевская


M828784 RISE511_Afanasyevo


M828815 RISE552_Yamnaya


M655536 I0231 Yamnaya - объединение с новым сиквенсом


M343758 I0443 Yamnaya - объединение с новым сиквенсом


M766878 I0440 Poltavka





Синташтинская, Срубная, Андроновская


M690970 RISE386_Sintashta


M277797 RISE395_Sintashta


M472767 I0232_Srubnaya


M217196 I0430 Srubnaya


M608028 RISE505_Andronovo





M348213 I0247-ScythianIA





Южный Кавказ, бронза


M691697 RISE407_Armenian_LBA


M930063 RISE423_Armenian_MBA





Не палеоДНК:


M116026 RusPinega1


M143348 RusPinega17


M462211 RusPinega20


M515902 RusPinega9


M482183 Saami1


M564203 Saami10


M077607 SaamiKola5


M109244 SaamiKola25



Altai Neanderthal
Denisova Cave, Siberia
F999902
F


50,000 years




Denisova
Denisova Cave, Siberia
F999903
F


30,000 years




Palaeo-Eskimo
Qeqertarsuaq, Greenland
F999906
M
Q1a
D2a1
4,000 years
Palaeo-Eskimo 2000 BC DNA


Clovis-Anzick-1
Montana, North America
F999919
M
Q-Z780
D4h3a
12,500 years
Matches Living people.


Mal’ta
South - Central Siberia
F999914
M
R
U
24,000 years
Matches Living people on X Chromosome.


La Braña-Arintero
León, Spain
F999915
M
C-V183
U5b2c1
7,000 years
Analyzing La Braña-Arintero Ancient DNA


Motala-12
Östergötland, Sweden
F999917
M
I-L460
U2e1
7,000 years
My Analysis of Motala-12 ancient DNA


LBK
Stuttgart, Germany
F999916
F

T2c2
7,500 years
Matches Living people


Loschbour
Loschbour, Luxembourg
F999918
M
I-L460
U5b1a
8,000 years
Matches Living people


Ajvide58
Sweden
F999924
M
I-CTS772
U4d
5000 years
Ajvide58 DNA Analysis


Gökhem2
Sweden
F999934
F

H1c
5000 years
Gökhem2 Ancient DNA Analysis


Hinxton-2
Cambridgshire, UK
F999921
F

H2a2b1
1300 years
Hinxton-2 Analysis


Hinxton-3
Cambridgshire, UK
F999922
F

K1a4a1a2b
1300 years
Hinxton-3 Analysis


Hinxton-4
Cambridgshire, UK
F999925
M
R-DF25
H1ag1
2000 years
Hinxton-4 has X-Matches with living people


Hinxton-5
Cambridgshire, UK
F999926
F

H2a2a1
1300 years
Hinxton5 Ancient DNA Analysis


KO1
Tiszaszőlős-Domaháza, Hungary
F999931
M
I-L68
R3
5650-5780 cal BC
Analysis of Neolithic KO1 genome


NE1
Polgár-Ferenci-hát, Hungary
F999937
F

U5b2c
5070-5310 cal BC
Ancient NE1 Matches living people


NE5
Kompolt - Kigyósér, Hungary
F999927
M
C-F3393
J1c
4990-5210 cal BC
Ancient Hungarian Genome NE5 Analysis


NE6
Apc-Berekalja I., Hungary
F999932
M
C-P255
K1a3a3
4950-5300 cal BC
Analysis of Hungarian genome-NE6


NE7
Apc-Berekalja I., Hungary
F999928
M
I-L1228
N1a
4360-4490 cal BC
Ancient Hungarian genome - NE7


CO1
Apc-Berekalja I., Hungary
F999930
F

H
2700-2900 cal BC
Analysis of Copper age genome CO1


BR2
Ludas-Varjú-dűlő, Hungary
F999933
M
J-M67
K1a1a
1110-1270 cal BC
Ancient BR2 matches living people


IR1
Ludas-Varjú-dűlő, Hungary
F999929
M
N-M231
G2a1
830-980 cal BC
Ancient Hungarian genome - IR1


Ust'-Ishim
Ust'-Ishim, Siberia
F999935
M
K-M526
R
45,000 years
Ust'-Ishim matches with living people!


Kostenki14
European Russia
F999936
M
C-V199
U2
38,700-36,200 years
Kostenki14 Ancient DNA Analysis


RISE00
Sope, Estonia
F999955
F

H5a1
~2000 years




RISE94
Viby, Sweden
F999956
M
K-M1221
K1a2a
4025 years
RISE94 has matches with living people


RISE97
Fredriksberg, Sweden
F999945

CT-Y1580
K2a5
3590 years




RISE98
L Beddinge 56, Sweden
F999941
M
R-M405
K1b1a
3736 years
RISE98 has matches with living people


RISE150
Przeclawice, Poland
F999948


U5a1b1
3469 years
RISE150 has matches with living people


RISE174
Oxie 7, Sweden
F999943


W1
1521 years
RISE174 has matches with living people


RISE395
Bol'shekaraganskii, Russia
F999949
F

U2e1
3540 years
RISE395 has matches with living people


RISE479
Erd 4, Hungary
F999944
M
I-L1228
T2b
~2000 years




RISE493
Sabinka 2, Russia
F999950
M
Q-L712
C4a1c
3214 years
RISE493 has matches with living people


RISE495
Arban 1, Russia, Karasuk, BA
F999958
M
R-F3105
D4j1





RISE496
Arban 1, Russia
F999959
F

U5a1a2a
3070 years

Not Found


RISE497
Arban 1, Russia
F999957

F-P142
A2f2
~2000 years
RISE497 has matches with living people
Not Found


RISE499
Bystrovka, Russia
F999952
F

H5a1
~2000 years




RISE500
Kytmanovo, Russia
F999947
F

U4d1
~2000 years

Not found


RISE502
Bystrovka, Russia
F999960
F

U5a1d
3140 years

Not found


RISE503
Kytmanovo, Russia
F999961


U2e2
3328 years

Not found


RISE504
Kytmanovo, Russia
F999962
M
J-CTS3732
C4a1d
1208 years

Not found


RISE505
Kytmanovo, Russia
F999953


U4a1b
3391 years
RISE505 has matches with living people
Not found


RISE509
Bateni, Russia
F999942
F

T2c
4186 years

Not found


RISE511
Bateni, Russia
F999967
F

J2a2a
4224 years

Not found


RISE523
Kapova cave, Russia
F999966


G2a1
3192 years

Not found


RISE548
Temrta IV, Russia
F999968
M
R-L23
U4
~2000 years




RISE552
Ulan IV, Russia
F999946
M
I-S12195
T2a1a
3940 years
RISE552 has matches with living people


RISE569
Brandysek, Czech Republic
F999954


H1af2
~2000 years




RISE577
Velke Prilepy, Czech Republic
F999951


T2b
~2000 years




RISE601
Verh-Uimon, Russia
F999969
M

M8a1
~2000 years




RISE602
Sary-Bel, Russia
F999965
M
J-M410
C4
~2000 years




Bot15
Rio Doce, Minas Gerais, Brazil
F999963
M
C-PH3092
B4a1a1a
~1600 AD




Bot17
Rio Doce, Minas Gerais, Brazil
F999964
M
C-Z31878
B4a1a1
~1600 AD




Kennewick Man
Kennewick, Washington state, USA
F999970
M
Q-M199
X2a
8358 years











I0795 KAR6 7076 ± 90 years old ..........central Germany ....Gedmatch= M671535





I0797 KAR16a 7087 ± 725 years old..........central Germany ...Gedmatch = M789703





I1707 AG83 9573 ± 39 years old ............Ain Ghazal Jordan....Gedmatch = M632231








43000 Ust'-Ishim 35


-35000 Kostenki14 36


-22000 Mal'ta 14


-2000 Palaeo-Eskimo 6


400 Bot15 Rio Doce/Brazil 63





-11200 Satsurblia CHG M677694


-7700 Kotias CHG M603839


Kotias CHG M411747





-5600 Samara/Russia I0124 EHG M218547


Khvalynsk I0122 EHG M340431


Khvalynsk I0122+I0124+I0433 EHG M737081


-5250 Karelian i0061 EHG M652848


-6000 Loschbour WEHG WEHG 18


-5700 KO1 WEHG? WEHG? M325047


-5000 La Braña WEHG WEHG M276583


-3000 Ajvide58 WEHG WEHG 24





-5714 I0017 Motala12/Suede SHG M645731


-5000 Motala (Suède) SHG SHG 17








-6200 I0707 Anatolian EF M897077


I0709 Anatolian EF M936428


I0746 Anatolian EF M754279


I1583 Anatolian EF M411713








-5100 I0410 Troc3/Espagne neolithique M641265


-5260 I0412 Troc5/Espagne neolithique M471235


-5140 I0054 LBK Néolithique M572125


-5500 LBK Stuttgart Neolithique 16


-5000 I0100 Halberstadt/Germany Neolithic M512608


-5150 NE1 ALP Neolithique M405327


-5150 NE5 late ALP Neolithique 27


-5150 NE6 LBK Neolithique M923528


-4400 NE7 Lengyel Neolithique M249240


-2800 CO1 Baden Neolithique M261272








-3000 Gokhem2 Neolithique farmer Neolithique 34


-3220 I0172 EsperstedtGermany MN M226800


-3750 I0406 La Mina/Espagne MN M815035


-3750 I0408 La Mina/Espagne MN M979495


I1300 Spain Chalcolithic M547763


-3000 ATP2 Spain M849224


I1502 EBA Hungary M681225





-3000 I0443 Yamnaya Yamnaya M343758


I0231 Yamnaya Yamnaya M655536


-2496 RISE 552 Ulan IV Yamnaya M828815


-2700 I0440 Poltavka Yamnaya M766878








2500 I0103 Espersted/Germnay Cordé M224345


2410 I0104 Espersted/Germnay Cordé M348611


-2500 RISE94 Viby/Suède Cordé/Battle Axe F999956


RISE00 Sope/Estonie Cordé M913021


-2400 I0118 Albertsdedt/Germany LN M107790


I0099 Halberstadt LNBA M313201


-2250 I0112 BBC M324645


-2153 Rise 98 L Bedding/Sweden Battle/Nordic F999941


-2109 rise71 Danemark Nordic LN M671253


-1950 RISE97 Estonie Nordic LN F999945


I0116 Unetice M425717


I0164 Unetice M588222


-1980 I0047 Germany Unetice M370010


-1789 Rise 150 Pologne Unetice F999948


Rise577 Czech Unetice F999951


-1500 Rise 479 Vatya/Hungary Vatya F999944


-1477 Rise493 Sabinka/Russia Karasuk F999950


-2000 RISE386 Bulanovo Sintashta M690970


-1858 RISE 395 Bol'Shekaragans Sintashta M277797


-1500 I0430 Srubnaya Russie M217196


-1500 I0232 Srubnaya Russie M472767


-2782 RISE509 Beteni/Russia Afanasievo F999942


Rise 511 Bateni/Russia Afanasievo M828784


-1700 RISE505 Kytmanovo Andronovo M608028


-300 I0247 Scythian Russie M348213


-1200 BR2 Kyjatice Bronze 33


-1070 Rise 496 Arban/Russia 59


-1060 I0099 Halbertsadt/Germany LBA M344778


-1000 Rise500 Kytmanovo Russia 47


-900 IR1 Mezocsat Fer 29


-519 Rise 174 Iron Age Sweden F999943


0 Hinxton4 Fer 25


0 Rise569 Brandysek Czech 54


700 Hinxton2 Anglo-Saxon 21


700 Hinxton3 Anglo-Saxon 22


700 Hinxton5 Anglo-Saxon 26


RISE407 Armenia M691697


RISE423 Armenia M930063





I0806 Bell Beaker, Quedlinburg, Germany (2431-2150 BC)


Y-DNA Haplogroup: R1b1a1a2a1a2a-DF27


GEDmatch Kit Number: T253390





RISE563 Bell Beaker, Osterhofen-Altenmarkt, Germany


Y-DNA Haplogroup: R1b1a1a2a1a2b-U152


GEDmatch Kit Number: T644357





Dnieper-Donets


Dnieper-Donets


Dnieper-Donets





From Tomanable


M343758 / Yamnaya I0443 / 3300-2700 BC


M655536 / Yamnaya I0231 / 2910-2875 BC


M828815 / Yamnaya RISE552 / 2849-2146 BC


F999968 / Yamnaya RISE548 / not reported





M828784 / Afanasievo RISE511 / 2909-2679 BC


F999942 / Afanasievo RISE509 / 2887-2677 BC





M630274 / Poltavka I0432 / 2925-2536 BC


M766878 / Poltavka I0440 / 2885-2665 BC





F999946 / Catacomb RISE552 / 2849-2146 BC





M370663 / Potapovka I0419 / 2200-1900 BC





M608028 / Andronovo RISE505 / 1746-1626 BC


F999961 / Andronovo RISE503 / 1727-1511 BC


F999947 / Andronovo RISE500 / not reported





M690970 / Sintashta RISE386 / 2298-2045 BC


M277797 / Sintashta RISE395 / 1960-1756 BC





M235073 / Srubnaya I0354 / 2016-1692 BC


M472767 / Srubnaya I0232 / 1850-1200 BC


M217196 / Srubnaya I0430 / 1850-1600 BC


M328175 / Srubnaya I0423 / 1850-1200 BC





Z378359 / Trzciniec PL_N17 / 1953-1880 BC




Czechs 2kya


Kit F999954


Kit F999951





Ancient Polish


RISE145 (Poland, 2188-1958 BC, Unetice culture) - GEDmatch M069028


RISE139 (Poland, 2135-1923 BC, Unetice culture) - GEDmatch M484113


PL_N17 (Poland, 1953-1880 BC, Early Bronze Age) - GEDmatch Z378359


RISE598 (Lithuania, 908-485 BC, Late Bronze Age) - GEDmatch M483824




M070872 Kowalewko_22 , 100-300 AD
Very poor quality


M218986 Kowalewko_51 looks partly biased
a little better






M279138 Niemcza_18 ???, Niemcza 900-1000 AD
very poor






M518184 Mas_5, Maslomecz 200-400AD
very poor






T533353 mar7, Markowice 1000-1200AD
a bit better






T855386 Kow_26, biased but trend is very NW-Euro
very poor






Sowinki SI 21 19 1000AD-1100AD



Gniezno GO 2 2 1000AD-1200AD



Łegowo LO 9 8 1000AD-1200AD























T457572, Vasilyevka 3, Ukraine Mesolithic






Latvia M001884, HG1, low quality



Latvia, Zvejnieki , R1b1a1a, Z229669, HG3, 7kya






Latvian, MN1, T332765, Zvej26







Latvian, LN1, T400485, Zvej28















Good reference for some samples:
http://arshba.ru/ancient-western-eurasian-dna-of-the-copper-and-bronze-ages-t1147.html

Duarte
02-05-19, 15:17
This is La Brana man (Spain), a cousin of Loschbour man (Luxembourg) :

https://i.imgur.com/OrPWk9Z.png

GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0
Software Version Mar 30 2019 00
Comparing [FTDNA] and M276583 (la Brana WHG) [Migration - V3 - M]


Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


1
11,919,271
13,822,397
232
4.04
1.0


1
39,041,234
40,044,713
156
1.65
6.0


1
181,612,041
182,388,872
143
1.18
2.0


1
218,813,701
220,454,174
266
1.20
2.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
72,251,751
74,122,223
176
2.34
10.0


2
199,795,231
201,247,479
158
1.01
8.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


3
31,695,245
32,358,666
181
1.08
0.0


3
55,791,368
56,924,711
195
1.44
0.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


4
71,068,489
72,422,691
158
1.35
13.0







Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
8,522,181
9,249,231
155
1.45
4.0


5
139,335,948
140,877,905
194
1.83
6.0


5
150,016,115
150,483,825
113
1.13
3.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


6
34,074,463
35,417,791
214
1.09
2.0


6
42,940,673
43,581,935
114
1.61
7.0


6
105,402,083
106,189,232
152
1.26
7.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


8
50,653,706
52,497,178
205
1.18
8.0


8
82,225,697
83,329,097
156
1.04
9.0


8
102,552,777
103,346,407
172
1.88
0.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


9
130,847,209
131,768,191
129
1.56
13.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


10
21,510,840
23,140,731
178
1.11
7.0


10
24,780,659
25,672,136
149
1.03
7.0


10
61,847,439
63,237,913
226
1.37
8.0


10
73,708,100
75,525,999
186
1.03
7.0


10
81,037,229
82,241,930
201
1.86
8.0


10
117,597,417
118,315,835
167
1.29
7.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
23,247,163
24,210,175
178
1.47
2.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
2,605,386
3,231,116
134
1.70
0.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


14
77,007,380
77,426,077
110
1.01
2.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
14,471,261
16,046,257
120
1.33
1.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


19
10,668,452
11,908,397
235
1.25
6.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


20
56,367,949
56,715,643
123
1.53
2.0






Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


21
31,528,217
32,462,981
135
1.03
12.0



Total cM: 46.33
Largest segment cM: 4.04
Total segments: 32
Total gap-induced breaks: 2
Max gap: 2.16
..... gap: … on chromosome …
Top 10 Q scores:
Q-score: 13.00
Q-score: 12.00
Q-score: 10.00
Q-score: 9.00
Q-score: 8.00
Q-score: 7.00
Q-score: 6.00
Q-score: 4.00
Q-score: 3.00
Q-score: 2.00

Comparison took 0.955 seconds.
CPU time used: 0.911 cpu seconds.

matty74
02-05-19, 16:23
https://i.imgur.com/UysGzOw.png

Duarte
02-05-19, 20:42
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0
Comparing Kit [FTDNA] and M107790 (I0118 Alberstedt LNBA) [Migration - V3 - M]

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.





Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



1

16,123,199

17,681,277

169

1.95

11.0



1

48,967,002

52,717,821

263

1.08

23.0



1

95,317,464

96,688,818

204

1.02

1.0



1

120,145,883

147,205,770

221

2.68

16.0



1

182,474,704

183,273,751

79

1.06

4.0








Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



2

3,685,046

4,882,122

232

3.55

11.0



2

10,156,725

11,756,260

324

4.37

23.0



2

29,619,971

30,872,606

260

2.13

14.0



2

236,837,395

237,690,418

120

1.05

6.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



3

46,150,400

48,724,599

183

1.08

3.0



3

149,893,873

150,690,566

122

1.13

4.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



4

118,157,777

119,833,292

163

1.08

7.0










Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



5

36,626,929

37,901,942

128

1.63

9.0



5

99,897,866

101,592,742

129

1.09

4.0



5

114,893,223

115,788,104

129

1.60

3.0



5

149,589,647

150,412,140

127

2.07

1.0



5

171,687,711

172,361,688

142

2.05

4.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



6

52,534,645

53,467,311

167

1.60

13.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



8

139,301,947

140,611,843

285

4.00

26.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



10

116,643,844

117,861,297

125

1.56

1.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



11

34,595,608

35,329,615

156

1.50

0.0



11

122,619,330

123,157,134

129

1.55

0.0



11

129,553,078

130,308,879

134

1.78

3.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



12

26,591,898

28,246,745

270

1.35

9.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



13

77,416,504

78,802,963

174

1.21

3.0



13

104,722,829

105,568,086

157

2.60

3.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



14

76,957,341

77,727,984

181

1.61

22.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



15

35,077,050

36,061,729

126

1.83

2.0








Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



16

52,522,717

53,897,352

161

2.23

0.0








Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



20

38,905,823

40,579,421

197

1.72

11.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



21

35,681,842

36,433,963

165

1.61

6.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



22

25,217,890

26,394,724

218

3.27

13.0




Total cM: 60.03
Largest segment cM: 4.37
Total segments: 32
Total gap-induced breaks: 4
Max gap: 2.19
..... gap: …on chromosome
Top 10 Q scores:
Q-score: 26.00
Q-score: 23.00
Q-score: 22.00
Q-score: 16.00
Q-score: 14.00
Q-score: 13.00
Q-score: 11.00
Q-score: 9.00
Q-score: 7.00
Q-score: 6.00
Comparison took 0.928 seconds.
CPU time used: 0.861 cpu seconds.

Duarte
02-05-19, 21:14
GEDmatch® Genesis Q-Matching One-to-One Comparison - V1.0
Comparing Kit [FTDNA] and F999941 (RISE98,Sweden,3.7ky) [GEDmatch Xfer]

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.




Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



1

6,461,530

7,156,082

157

1.42

5.0



1

9,677,853

10,808,587

205

1.56

15.0



1

11,909,514

12,599,575

135

2.01

0.0



1

17,895,744

18,490,551

238

2.22

10.0



1

26,770,999

28,261,902

169

1.03

12.0



1

37,193,645

37,957,376

157

1.37

5.0



1

38,733,788

39,438,889

163

1.38

0.0



1

147,013,362

150,742,700

203

1.47

24.0



1

188,694,491

190,362,935

155

1.06

1.0



1

217,456,447

218,556,297

197

1.26

14.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



2

85,970,703

87,052,934

190

1.04

16.0



2

108,780,731

109,937,740

198

1.09

6.0



2

119,811,352

121,145,352

222

1.45

15.0



2

122,003,073

124,801,531

416

3.16

38.0



2

132,298,468

133,731,788

193

2.04

5.0



2

135,219,539

136,836,365

168

1.13

9.0



2

201,489,836

202,828,666

212

1.10

9.0



2

218,284,524

219,903,258

322

3.11

5.0



2

238,746,880

239,636,856

182

2.43

12.0



2

239,964,748

241,586,810

456

4.85

4.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



3

25,513,628

26,588,441

165

1.56

4.0



3

62,620,131

63,183,030

139

1.16

5.0



3

65,793,390

66,600,918

146

1.44

3.0



3

137,419,421

138,843,870

177

1.05

0.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



5

8,522,181

9,209,831

153

1.37

4.0



5

29,928,839

31,028,731

142

1.63

2.0



5

54,468,921

55,706,469

188

1.05

12.0



5

89,951,112

91,155,218

157

1.01

3.0



5

128,732,672

132,032,806

374

1.10

45.0



5

139,360,590

141,073,166

256

2.19

32.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



6

811,952

1,397,839

181

2.03

2.0



6

14,628,648

15,519,885

170

1.66

8.0



6

16,700,833

17,675,246

195

2.34

12.0



6

39,905,615

40,617,312

178

1.38

0.0



6

42,277,196

43,265,231

158

2.07

5.0



6

151,596,949

152,229,850

168

1.59

0.0



6

167,279,331

167,817,656

136

1.82

0.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



7

98,021,211

99,557,217

237

1.19

31.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



8

34,892,197

36,789,591

130

1.12

12.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



9

2,989,907

3,962,983

249

2.16

16.0



9

23,953,634

24,878,417

120

1.04

1.0



9

116,866,605

117,348,466

203

1.01

4.0



9

131,406,739

132,109,628

160

1.49

0.0



9

132,522,269

133,289,174

178

2.17

9.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



10

26,116,844

27,011,863

163

1.31

3.0



10

45,274,144

48,340,623

182

1.47

11.0



10

73,538,164

74,912,004

210

1.30

2.0



10

118,834,991

119,533,345

191

1.60

8.0



10

122,530,485

122,975,633

127

1.03

5.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



11

23,532,600

24,210,175

115

1.03

5.0



11

65,546,857

67,196,237

252

1.15

27.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



12

12,331,327

13,123,769

195

3.02

0.0



12

44,216,504

46,558,765

265

1.79

6.0



12

116,213,801

117,078,442

219

1.59

7.0



12

127,490,326

128,046,871

170

2.07

13.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



13

32,663,172

33,787,573

248

1.82

10.0



13

43,491,957

44,274,730

193

1.65

1.0



13

50,194,394

51,398,466

200

1.08

1.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



14

35,936,786

37,089,931

178

1.13

13.0



14

57,022,205

57,525,402

134

1.13

0.0



14

61,693,062

63,181,642

326

1.74

47.0



14

65,340,410

66,963,249

232

1.30

19.0



14

72,561,999

73,220,020

220

1.10

12.0



14

97,200,671

98,062,489

199

2.47

1.0



14

102,404,741

104,194,278

260

1.25

25.0



14

105,277,209

107,274,052

123

3.20

2.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



15

26,114,658

26,611,779

145

2.05

2.0



15

28,374,012

29,760,516

137

3.40

2.0



15

47,330,986

48,097,117

160

1.00

1.0



15

48,542,556

49,733,746

164

1.20

15.0







Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



16

2,063,481

2,969,856

139

1.43

2.0



16

54,819,870

55,404,755

169

1.23

1.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



17

53,596,618

54,130,749

128

1.01

7.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



18

10,143,877

10,813,345

239

2.27

11.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



20

6,939,579

7,471,137

107

1.51

0.0



20

9,278,451

9,765,020

158

1.45

2.0



20

55,437,711

56,120,030

233

1.88

32.0






Chr

B37 Start Pos'n

B37 End Pos'n

SNPs

Centimorgans (cM)

Q



22

18,258,382

18,961,782

144

2.86

1.0




Total cM: 129.32
Largest segment cM: 4.85
Total segments: 78
Total gap-induced breaks: 1
Max gap: 2.03
..... gap: … on chromosome
Top 10 Q scores:
Q-score: 47.00
Q-score: 45.00
Q-score: 38.00
Q-score: 32.00
Q-score: 31.00
Q-score: 27.00
Q-score: 25.00
Q-score: 24.00
Q-score: 19.00
Q-score: 16.00

Comparison took 0.964 seconds.
CPU time used: 0.916 cpu seconds.

Carlos
02-05-19, 21:47
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0Software Version Mar 26 2019 01:00:34
Comparing Kit Carlos [FTDNA] Z302274 (Halstat Celt) (DA111) [Migration - F2 - Z]

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.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
776,546
13,176,463
29.1
1,460


1
13,775,122
120,526,982
120.0
11,656


1
149,815,536
249,202,567
128.6
11,410


2
18,856
87,108,211
110.1
10,344


2
95,439,005
243,044,147
151.8
14,097


3
61,495
90,439,303
109.8
10,069


3
93,548,479
197,811,684
114.1
10,003


4
75,174
8,706,113
21.1
1,015


4
9,423,250
49,067,067
45.0
3,845


4
52,728,324
190,915,650
146.4
12,330


5
81,437
46,349,193
67.1
4,858


5
49,462,228
68,826,788
14.6
1,877


5
70,755,853
180,693,127
126.9
11,226


6
204,072
58,719,796
84.0
9,093


6
61,972,502
170,890,603
110.0
11,419


7
44,935
57,878,853
77.0
7,107


7
75,066,554
159,119,486
100.9
8,051


8
191,076
7,007,415
16.4
1,745


8
12,603,472
43,657,438
38.7
3,861


8
46,944,913
146,264,714
105.4
9,431


9
204,201
38,771,831
64.0
5,697


9
71,033,538
141,018,423
100.3
8,126


10
135,853
39,088,829
63.1
5,453


10
51,532,751
135,431,451
106.1
10,026


11
198,510
50,668,400
68.9
5,932


11
55,026,160
134,931,635
92.0
8,876


12
199,532
34,826,574
58.3
4,414


12
38,132,172
133,777,645
117.5
10,395


13
19,280,540
115,090,019
131.7
11,879


14
20,362,820
106,199,579
123.4
9,922


15
22,755,185
28,506,450
16.5
708


15
30,958,935
82,573,325
66.2
5,281


15
83,221,392
102,397,317
44.9
2,615


16
107,275
16,291,099
36.4
2,246


16
18,801,583
32,137,965
18.4
1,198


16
46,584,098
90,163,275
74.0
5,483


17
15,463
22,242,355
52.3
2,561


17
25,346,692
81,029,271
84.4
5,566


18
139,767
14,994,970
47.2
2,127


18
18,570,235
78,015,180
82.2
7,087


19
267,039
24,461,655
48.1
2,294


19
27,862,694
59,094,136
62.8
3,399


20
69,094
26,271,193
53.3
3,678


20
29,540,629
62,912,463
61.1
4,012


21
14,796,635
48,100,155
69.6
4,383


22
17,012,935
51,181,759
79.9
4,142



Largest segment = 151.8 cM

Total Half-Match segments (HIR) = 3539.7 cM (98.707 Pct)
Estimated number of generations to MRCA = 1.0

46 shared segments found for this comparison.

294975 SNPs used for this comparison.

58.665 Pct SNPs are full identical

Comparison took 0.025 seconds.
CPU time used: 0.016 cpu seconds.

I have finally found the kit of an ancestor that I have obtained in MyTrueAncestry. I have no idea what I have done but there is this result. I do not know if it is the last post on the page but I will not be waiting, anyway we participate here but this is read by millions of people who do not participate but they watch us and they are watching everything, I know what they are there, you can feel his presence.

Salento
02-05-19, 22:34
I've been looking for the Kits’ Number of these Ancient people for a while.

If someone knows them, please share it, thanks :)

from MDLP K11
Using 4 populations approximation:
++++++

1 Armenia_MLBA + Bell_Beaker + British_Roman + Tyrolean_Iceman_EN @ 2.321840

2 Armenia_MLBA + Bell_Beaker + British_Roman + Europe_EN @ 2.443927

3 Armenia_LBA + Bell_Beaker + British_Roman + Hungary_EN @ 2.601341

Duarte
03-05-19, 00:02
GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

Software Version Mar 26 2019 01:00:34
Comparing Kit Carlos [FTDNA] Z302274 (Halstat Celt) (DA111) [Migration - F2 - Z]

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.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
776,546
13,176,463
29.1
1,460


1
13,775,122
120,526,982
120.0
11,656


1
149,815,536
249,202,567
128.6
11,410


2
18,856
87,108,211
110.1
10,344


2
95,439,005
243,044,147
151.8
14,097


3
61,495
90,439,303
109.8
10,069


3
93,548,479
197,811,684
114.1
10,003


4
75,174
8,706,113
21.1
1,015


4
9,423,250
49,067,067
45.0
3,845


4
52,728,324
190,915,650
146.4
12,330


5
81,437
46,349,193
67.1
4,858


5
49,462,228
68,826,788
14.6
1,877


5
70,755,853
180,693,127
126.9
11,226


6
204,072
58,719,796
84.0
9,093


6
61,972,502
170,890,603
110.0
11,419


7
44,935
57,878,853
77.0
7,107


7
75,066,554
159,119,486
100.9
8,051


8
191,076
7,007,415
16.4
1,745


8
12,603,472
43,657,438
38.7
3,861


8
46,944,913
146,264,714
105.4
9,431


9
204,201
38,771,831
64.0
5,697


9
71,033,538
141,018,423
100.3
8,126


10
135,853
39,088,829
63.1
5,453


10
51,532,751
135,431,451
106.1
10,026


11
198,510
50,668,400
68.9
5,932


11
55,026,160
134,931,635
92.0
8,876


12
199,532
34,826,574
58.3
4,414


12
38,132,172
133,777,645
117.5
10,395


13
19,280,540
115,090,019
131.7
11,879


14
20,362,820
106,199,579
123.4
9,922


15
22,755,185
28,506,450
16.5
708


15
30,958,935
82,573,325
66.2
5,281


15
83,221,392
102,397,317
44.9
2,615


16
107,275
16,291,099
36.4
2,246


16
18,801,583
32,137,965
18.4
1,198


16
46,584,098
90,163,275
74.0
5,483


17
15,463
22,242,355
52.3
2,561


17
25,346,692
81,029,271
84.4
5,566


18
139,767
14,994,970
47.2
2,127


18
18,570,235
78,015,180
82.2
7,087


19
267,039
24,461,655
48.1
2,294


19
27,862,694
59,094,136
62.8
3,399


20
69,094
26,271,193
53.3
3,678


20
29,540,629
62,912,463
61.1
4,012


21
14,796,635
48,100,155
69.6
4,383


22
17,012,935
51,181,759
79.9
4,142



Largest segment = 151.8 cM

Total Half-Match segments (HIR) = 3539.7 cM (98.707 Pct)
Estimated number of generations to MRCA = 1.0

46 shared segments found for this comparison.

294975 SNPs used for this comparison.

58.665 Pct SNPs are full identical

Comparison took 0.025 seconds.
CPU time used: 0.016 cpu seconds.

I have finally found the kit of an ancestor that I have obtained in MyTrueAncestry. I have no idea what I have done but there is this result. I do not know if it is the last post on the page but I will not be waiting, anyway we participate here but this is read by millions of people who do not participate but they watch us and they are watching everything, I know what they are there, you can feel his presence.

Dear friend Carlos,
If these your calculations are correct, this ancient Celt man is your twin brother homozygous or is, probably, a system bug. See below the comparison of my kits: FTDNA x MyHeritage. It’s Me compared with Myself :)

https://i.imgur.com/ViTDKbw.jpg
https://i.imgur.com/fV3Mq8r.jpg
https://i.imgur.com/ux5GXKc.jpg
https://i.imgur.com/fygg59X.jpg
https://i.imgur.com/EJxKNcw.jpg
https://i.imgur.com/QRzIygz.jpg

Duarte
03-05-19, 02:16
I've been looking for the Kits’ Number of these Ancient people for a while.

If someone knows them, please share it, thanks :)

from MDLP K11
Using 4 populations approximation:
++++++

1 Armenia_MLBA + Bell_Beaker + British_Roman + Tyrolean_Iceman_EN @ 2.321840

2 Armenia_MLBA + Bell_Beaker + British_Roman + Europe_EN @ 2.443927

3 Armenia_LBA + Bell_Beaker + British_Roman + Hungary_EN @ 2.601341

Something. Maybe can help you, I don’t know:

Hungary EN/NE:


NE1
Polgár-Ferenci-hát, Hungary
F999937
F

U5b2c
5070-5310 cal BC
Ancient NE1 Matches living people


NE5
Kompolt - Kigyósér, Hungary
F999927
M
C-F3393
J1c
4990-5210 cal BC
Ancient Hungarian Genome NE5 Analysis


NE6
Apc-Berekalja I., Hungary
F999932
M
C-P255
K1a3a3
4950-5300 cal BC
Analysis of Hungarian genome-NE6


NE7
Apc-Berekalja I., Hungary
F999928
M
I-L1228
N1a
4360-4490 cal BC
Ancient Hungarian



RISE423, Armenia MBA (1402–1211 BC), M930063
1 Georgian_Jew + Kabardin + Tabassaran + Tabassaran @ 3.223544

I1656, Armenia MLBA (1501–1402 BC), M182163
1 Azeri_Dagestan + Dargin_Urkarah + Greek_Smyrna + Kurd @ 5.455067

BELL BEAKER:
I0806 Bell Beaker, Quedlinburg, Germany (2431-2150 BC)
Y-DNA Haplogroup: R1b1a1a2a1a2a-DF27
GEDmatch Kit Number: T253390

And this:

RISE563 Bell Beaker, Osterhofen-Altenmarkt, Germany
Y-DNA Haplogroup: R1b1a1a2a1a2b-U152
GEDmatch Kit Number: T644357

British Roman Era:
Hinxton-4
Cambridgshire, UK
F999925
M
R-DF25
H1ag1
2000 years

Tyrolean Iceman is Ötzi. No Kit available in GEDmatch.

Carlos
03-05-19, 02:24
https://2.bp.blogspot.com/-q1e08FZgToI/XMuHcteCuNI/AAAAAAAAAk4/iHGyF_ueFdIrE4hNpk_7Lp6rQi9fk81dwCLcBGAs/s1600/genesis.gedmatch.com_fcgi-bin_onetoone.cgi%2B%25281%2529.png

In this case above is my hidden kit and the old man's kit. In his example are his two kits.



Size (in SNPs) of Mismatch-Bunching
limit. (Leave blank for default
mismatch eval window / 2)




In this box I have put 0.1

Salento
03-05-19, 03:14
Something. Maybe can help you, I don’t know:

Hungary EN/NE:


NE1
Polgár-Ferenci-hát, Hungary
F999937
F

U5b2c
5070-5310 cal BC
Ancient NE1 Matches living people


NE5
Kompolt - Kigyósér, Hungary
F999927
M
C-F3393
J1c
4990-5210 cal BC
Ancient Hungarian Genome NE5 Analysis


NE6
Apc-Berekalja I., Hungary
F999932
M
C-P255
K1a3a3
4950-5300 cal BC
Analysis of Hungarian genome-NE6


NE7
Apc-Berekalja I., Hungary
F999928
M
I-L1228
N1a
4360-4490 cal BC
Ancient Hungarian



RISE423, Armenia MBA (1402–1211 BC), M930063
1 Georgian_Jew + Kabardin + Tabassaran + Tabassaran @ 3.223544

I1656, Armenia MLBA (1501–1402 BC), M182163
1 Azeri_Dagestan + Dargin_Urkarah + Greek_Smyrna + Kurd @ 5.455067

BELL BEAKER:
I0806 Bell Beaker, Quedlinburg, Germany (2431-2150 BC)
Y-DNA Haplogroup: R1b1a1a2a1a2a-DF27
GEDmatch Kit Number: T253390

And this:

RISE563 Bell Beaker, Osterhofen-Altenmarkt, Germany
Y-DNA Haplogroup: R1b1a1a2a1a2b-U152
GEDmatch Kit Number: T644357

British Roman Era:
Hinxton-4
Cambridgshire, UK
F999925
M
R-DF25
H1ag1
2000 years

Tyrolean Iceman is Ötzi. No Kit available in GEDmatch.



Thank you Duarte. :)

too bad there isn't any Ötzi Kit, it would have been very interesting running a 1/1 Comparison with the Iceman.

Duarte
03-05-19, 03:52
https://2.bp.blogspot.com/-q1e08FZgToI/XMuHcteCuNI/AAAAAAAAAk4/iHGyF_ueFdIrE4hNpk_7Lp6rQi9fk81dwCLcBGAs/s1600/genesis.gedmatch.com_fcgi-bin_onetoone.cgi%2B%25281%2529.png

In this case above is my hidden kit and the old man's kit. In his example are his two kits.


Size (in SNPs) of Mismatch-Bunching
limit. (Leave blank for default
mismatch eval window / 2)



In this box I have put 0.1

I not know what happened dear friend, but the results are not consistent. They indicate that the Celtic is their identical twin. Check out chromosome 1 and you'll find that there are much more regions where there are no mach in the top row (red color), than regions with where there are match (green color). The bottom bar could not be all blue, indicating a complete match of your chromosome with the Celtic’s chromosome. Even if, by hypothesis, we admit that the algorithm is correct, the final result is very far from anything that could be called logic. Just to reason by extremes: It's the same as saying that you're a clone of the Celtic man. Something went very wrong. What was, I do not know. Big hug my dear friend. Try to run again leaving all boxes blank or just fill with the number 1 only the box that requests the minimum size that should be considered in centimeters, otherwise the number 7 will be selected automatically.

Salento
03-05-19, 04:03
From MDLP k11
1 Armenia_MLBA + Bell_Beaker + British_Roman + Tyrolean_Iceman_EN @ 2.321840

maybe he’s the Brits-Roman as above:

Kit F999925 (Hinxton-4, UK, 2ky)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


1
9,510,150
10,484,416
162
1.16
31.0


1
35,373,374
36,789,546
166
1.18
40.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
148,453,079
149,858,734
192
1.32
18.0


2
219,187,603
219,912,758
139
1.26
17.0


2
239,211,380
239,638,300
122
1.33
5.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


3
25,548,555
26,258,075
146
1.06
16.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


4
33,116,246
34,534,283
133
1.05
20.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
4,803,549
5,161,189
125
1.30
6.0


5
74,328,068
74,988,369
116
1.24
2.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


7
6,213,396
7,129,858
140
1.43
6.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
19,057,767
19,427,092
141
1.25
10.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
946,878
1,524,144
118
1.48
0.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


15
65,564,595
66,333,100
120
1.13
7.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
5,628,300
5,848,496
121
1.02
3.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


17
13,801,591
14,110,852
125
1.65
5.0


17
75,761,949
76,160,881
114
1.33
5.0



Total cM: 20.21
Largest segment cM: 1.65
Total segments: 16
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 40.00
Q-score: 31.00
Q-score: 20.00
Q-score: 18.00
Q-score: 17.00
Q-score: 16.00
Q-score: 10.00
Q-score: 7.00
Q-score: 6.00
Q-score: 5.00

zanipolo
03-05-19, 05:32
Can you remove one of your samples and add another one

Salento
03-05-19, 05:45
Can you remove one of your samples and add another one

... Who’re you talking to?

https://i.imgur.com/EogjlIQ.jpg

Duarte
03-05-19, 11:09
From MDLP k11
1 Armenia_MLBA + Bell_Beaker + British_Roman + Tyrolean_Iceman_EN @ 2.321840

maybe he’s the Brits-Roman as above:

Kit F999925 (Hinxton-4, UK, 2ky)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.



Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


1
9,510,150
10,484,416
162
1.16
31.0


1
35,373,374
36,789,546
166
1.18
40.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


2
148,453,079
149,858,734
192
1.32
18.0


2
219,187,603
219,912,758
139
1.26
17.0


2
239,211,380
239,638,300
122
1.33
5.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


3
25,548,555
26,258,075
146
1.06
16.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


4
33,116,246
34,534,283
133
1.05
20.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


5
4,803,549
5,161,189
125
1.30
6.0


5
74,328,068
74,988,369
116
1.24
2.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


7
6,213,396
7,129,858
140
1.43
6.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


11
19,057,767
19,427,092
141
1.25
10.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


12
946,878
1,524,144
118
1.48
0.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


15
65,564,595
66,333,100
120
1.13
7.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


16
5,628,300
5,848,496
121
1.02
3.0





Chr
B37 Start Pos'n
B37 End Pos'n
SNPs
Centimorgans (cM)
Q


17
13,801,591
14,110,852
125
1.65
5.0


17
75,761,949
76,160,881
114
1.33
5.0



Total cM: 20.21
Largest segment cM: 1.65
Total segments: 16
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 40.00
Q-score: 31.00
Q-score: 20.00
Q-score: 18.00
Q-score: 17.00
Q-score: 16.00
Q-score: 10.00
Q-score: 7.00
Q-score: 6.00
Q-score: 5.00

There are many match of an ancient British with a modern Italian. It is really possible that this Breton has DNA from the Italian peninsula, or vice versa, it is really possible that you have Breton blood, and this second hypothesis is more plausible if we consider that Romanized Bretons may have gone to Italy in the Roman period.

Duarte
03-05-19, 12:37
Can you remove one of your samples and add another one


... Who’re you talking to?

https://i.imgur.com/EogjlIQ.jpgHello Salento.
I believe zanipolo is referring to the post below, and not to your post :)



https://2.bp.blogspot.com/-q1e08FZgToI/XMuHcteCuNI/AAAAAAAAAk4/iHGyF_ueFdIrE4hNpk_7Lp6rQi9fk81dwCLcBGAs/s1600/genesis.gedmatch.com_fcgi-bin_onetoone.cgi%2B%25281%2529.png

In this case above is my hidden kit and the old man's kit. In his example are his two kits.


Size (in SNPs) of Mismatch-Bunching
limit. (Leave blank for default
mismatch eval window / 2)


In this box I have put 0.1

Duarte
03-05-19, 13:50
https://2.bp.blogspot.com/-q1e08FZgToI/XMuHcteCuNI/AAAAAAAAAk4/iHGyF_ueFdIrE4hNpk_7Lp6rQi9fk81dwCLcBGAs/s1600/genesis.gedmatch.com_fcgi-bin_onetoone.cgi%2B%25281%2529.png

In this case above is my hidden kit and the old man's kit. In his example are his two kits.


Size (in SNPs) of Mismatch-Bunching
limit. (Leave blank for default
mismatch eval window / 2)


In this box I have put 0.1








Size (in SNPs) of Mismatch-Bunching
limit. (Leave blank for default
mismatch eval window / 2)
0.1


















Do not do it the way above, Carlos:
Field should be blank.
If You do so, the result will be the same highlighted below, my Kit with LBK Stuttgart. Genesis would do the same with any other old sample:

Kit [FTDNA] and F999916 (LBK, Stuttgart, 7ky) [GEDmatch Xfer]

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.




Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


1
752,566
13,176,463
29.1
3,190


1
13,775,122
120,526,982
120.0
24,229


1
149,815,536
249,198,060
128.6
23,293



(...)



Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs


22
17,073,066
51,181,759
79.9
8,899



Largest segment = 151.8 cM

Total Half-Match segments (HIR) = 3559.7 cM (99.255 Pct)
Estimated number of generations to MRCA = 1.0

46 shared segments found for this comparison.

607322 SNPs used for this comparison.

54.700 Pct SNPs are full identical

Comparison took 0.359 seconds.
CPU time used: 0.060 cpu seconds.

zanipolo
03-05-19, 20:19
... Who’re you talking to?

https://i.imgur.com/EogjlIQ.jpg

can you remove a sample in trueancestry and place another person if you have paid for more than the free test

i have my grandfather and my father......i want to remove my grandfather and test my sample

Salento
03-05-19, 21:31
can you remove a sample in trueancestry and place another person if you have paid for more than the free test

i have my grandfather and my father......i want to remove my grandfather and test my sample

Yes you can.

Delete your Grandfather, and upload your Raw-Data. Wait for your results.

After that, if you want, delete your data, and put back your Grandfather again.

Somehow the Site works better with Chrome (browser) on my PC.

i also think they’re updating the site.

zanipolo
03-05-19, 23:21
my grandfather's result
.
.
Gaul + Gallo-Roman (4.866)
Gaul + Thracian (5.522)
Gaul (8.086)
Gallo-Roman (8.595)
Thracian (8.85)
.
.
.
Your closest Archaeogenetic matches...
1. Cisalpine Gaul (590 AD) (8.086) - [Upgrade for more details]
2. Gallo-Roman (590 AD) (8.595) - [Upgrade for more details]
3. Iberian / Piedmont (670 AD) (8.602) - [Upgrade for more details]
4. Illyrian / Dalmatia (1600 BC) (8.85) - [Upgrade for more details]
5. Thracian Bulgaria (450 BC) (8.85) - [Upgrade for more details]
6. Illyrian / Dalmatia (1200 BC) (8.857) - [Upgrade for more details]
7. Central Roman (670 AD) (9.77) - [Upgrade for more details]
8. Scythian Moldova (270 BC) (10.44) - [Upgrade for more details]
9. Medieval Tyrolian (590 AD) (10.66) - [Upgrade for more details]
10. Medieval Piedmont (670 AD) (10.93) - [Upgrade for more details]
11. Central Roman (590 AD) (11.0) - [Upgrade for more details]
12. Central Roman (590 AD) (11.04) - [Upgrade for more details]
13. Medieval Hungary / Balkan (1244 AD) (11.32) - [Upgrade for more details]
14. Medieval Iberian (670 AD) (12.1) - [Upgrade for more details]
15. Medieval Frank (670 AD) (12.44) - [Upgrade for more details]
16. Central Roman (590 AD) (12.46) - [Upgrade for more details]
17. Frankish-Gaul / Lombardy Italy (670 AD) (12.53) - [Upgrade for more details]
18. Roman Soldier Germany (300 BC) (13.59) - [Upgrade for more details]
19. Swiss Germanic (670 AD) (13.69) - [Upgrade for more details]
20. Medieval Tyrolian (670 AD) (13.77) - [Upgrade for more details]
21. Medieval Tyrolian (590 AD) (14.48) - [Upgrade for more details]
22. Hellenic Roman (670 AD) (17.72) - [Upgrade for more details]
23. Roman Soldier Freiham-Nord Germany (300 BC) (19.04) - [Upgrade for more details]
24. Frankish / Hungary (590 AD) (19.25) - [Upgrade for more details]
25. Frankish / Hungary (590 AD) (19.26) - [Upgrade for more details]
26. Scythian Moldova (300 BC) (19.34) - [Upgrade for more details]
27. Alemannic Bavaria (450 AD) (19.67) - [Upgrade for more details]
28. Central Roman / Mixed (590 AD) (20.03) - [Upgrade for more details]
29. Gepid / Goth (450 AD) (20.11) - [Upgrade for more details]
30. Hellenic Roman (590 AD) (20.13) - [Upgrade for more details]
31. Celt / Hungary (590 AD) (20.95) - [Upgrade for more details]
32. Gaulic Gladiator York (250 AD) (21.09) - [Upgrade for more details]
33. Halstatt (775 BC) (21.17) - [Upgrade for more details]
34. Czech Velke Prilepy (0 AD) (21.32) - [Upgrade for more details]
35. Bell Beaker Poland (2500 BC) (21.53) - [Upgrade for more details]
36. Mycenaean (1350 BC) (22.21) - [Upgrade for more details]
37. Nordic Lombard (590 AD) (22.42) - [Upgrade for more details]
38. Nordic Lombard (590 AD) (22.5) - [Upgrade for more details]
39. Scythian Ukraine (600 BC) (22.76) - [Upgrade for more details]
40. Germano-Celtic Gladiator York (250 AD) (22.87) - [Upgrade for more details]
.
.
only 1 deep dive
.
Alemannic Bavaria
450 AD
Total cM=29.71
Largest segment=9.05 cM (4 shared)
grandfather above and mine below
Your closest Archaeogenetic matches...
1. Cisalpine Gaul (590 AD) (8.252) - [Upgrade for more details]
2. Gallo-Roman (590 AD) (8.921) - [Upgrade for more details]
3. Illyrian / Dalmatia (1200 BC) (9.498) - [Upgrade for more details]
4. Iberian / Piedmont (670 AD) (9.723) - [Upgrade for more details]
5. Medieval Piedmont (670 AD) (9.779) - [Upgrade for more details]
6. Medieval Iberian (670 AD) (10.35) - [Upgrade for more details]
7. Illyrian / Dalmatia (1600 BC) (11.38) - [Upgrade for more details]
8. Thracian Bulgaria (450 BC) (11.38) - [Upgrade for more details]
9. Central Roman (670 AD) (12.07) - [Upgrade for more details]
10. Medieval Tyrolian (590 AD) (12.14) - [Upgrade for more details]
11. Medieval Frank (670 AD) (12.81) - [Upgrade for more details]
12. Central Roman (590 AD) (12.95) - [Upgrade for more details]
13. Medieval Tyrolian (670 AD) (13.2) - [Upgrade for more details]
14. Scythian Moldova (270 BC) (13.26) - [Upgrade for more details]
15. Central Roman (590 AD) (13.43) - [Upgrade for more details]
16. Central Roman (590 AD) (13.71) - [Upgrade for more details]
17. Medieval Hungary / Balkan (1244 AD) (13.83) - [Upgrade for more details]
18. Frankish-Gaul / Lombardy Italy (670 AD) (14.31) - [Upgrade for more details]
19. Swiss Germanic (670 AD) (15.0) - [Upgrade for more details]
20. Roman Soldier Germany (300 BC) (15.09) - [Upgrade for more details]
21. Medieval Tyrolian (590 AD) (15.13) - [Upgrade for more details]
22. Scythian Moldova (300 BC) (17.79) - [Upgrade for more details]
23. Hellenic Roman (670 AD) (18.69) - [Upgrade for more details]
24. Celt / Hungary (590 AD) (19.96) - [Upgrade for more details]
25. Scythian Ukraine (600 BC) (20.01) - [Upgrade for more details]
26. Roman Soldier Freiham-Nord Germany (300 BC) (20.08) - [Upgrade for more details]
27. Alemannic Bavaria (450 AD) (20.16) - [Upgrade for more details]
28. Gaulic Gladiator York (250 AD) (20.24) - [Upgrade for more details]
29. Frankish / Hungary (590 AD) (20.39) - [Upgrade for more details]
30. Frankish / Hungary (590 AD) (20.46) - [Upgrade for more details]
31. Bell Beaker Scotland (2145 BC) (20.69) - [Upgrade for more details]
32. Bell Beaker Poland (2500 BC) (20.79) - [Upgrade for more details]
33. Hungary Iron Age (800 BC) (20.8) - [Upgrade for more details]
34. Czech Velke Prilepy (0 AD) (21.38) - [Upgrade for more details]
35. Gepid / Goth (450 AD) (21.78) - [Upgrade for more details]
36. Germano-Celtic Gladiator York (250 AD) (22.24) - [Upgrade for more details]
37. Halstatt (775 BC) (22.36) - [Upgrade for more details]
38. Celtic Gladiator York (250 AD) (22.38) - [Upgrade for more details]
39. Central Roman / Mixed (590 AD) (23.02) - [Upgrade for more details]
40. Crete Armenoi (1370 BC) (23.32) - [Upgrade for more details]
.
.
deep dive
Alemannic Bavaria
450 AD
Total cM=10.82
Largest segment=5.56 cM (5 shared. Sample quality: 9)
.
.
Illyrian / Dalmatia
1200 BC
Total cM=1.66
Largest segment=1.66 cM (1 shared. Sample quality: 40)

.................................................. .................................

my father was updated to

Roman + Illyrian (4.913)
Gallo-Roman + Roman (6.367)
Gallo-Roman (7.349)
Illyrian (7.471)
Roman (9.665)

..
Roman Soldier Freiham-Nord Germany
300 BC
Total cM=4.36
Largest segment=4.36 cM (1 shared. Sample quality: 81)
.
Mycenaean
1350 BC
Total cM=1.83
Largest segment=1.83 cM (1 shared. Sample quality: 9)
.
Germano-Celtic Gladiator York
250 AD
Total cM=1.24
Largest segment=1.24 cM (1 shared. Sample quality: 18)

Duarte
04-05-19, 01:06
For general knowledge:

MyTrueAncestry.com has changed the "Deep Dive" functionality algorithm and the numbers that are now appearing look more realistic. I recommend everyone to review their numbers since they are probably going to be downgraded in "Deep Dive". Look at my case.

Before:

https://i.imgur.com/Ku0nVsR.jpg
https://i.imgur.com/LpEzC3Y.jpg
https://i.imgur.com/PX7DbFU.png
Now:

https://i.imgur.com/4z1N8ul.jpg
https://i.imgur.com/vQ7Ixdt.jpg
https://i.imgur.com/tObolzn.jpg

Lukas
04-05-19, 10:44
For general knowledge:

MyTrueAncestry.com has changed the "Deep Dive" functionality algorithm and the numbers that are now appearing look more realistic. I recommend everyone to review their numbers since they are probably going to be downgraded in "Deep Dive". Look at my case.





So Duarte.... who was right since the begining?:) Even Mytruancestry now finally must reduce cM values and must admit they were utterly wrong:)

But still some of those values are somewhat too big, unless they checked them in lowest treshold on something like Gedmatch one-to-one tool.



Also I'm interested how they explain their total fail with those very high matches? Of course it isn't question to Duarte, but general.

Duarte
04-05-19, 12:54
So Duarte.... who was right since the begining?:) Even Mytruancestry now finally must reduce cM values and must admit they were utterly wrong:)

But still some of those values are somewhat too big, unless they checked them in lowest treshold on something like Gedmatch one-to-one tool.



Also I'm interested how they explain their total fail with those very high matches? Of course it isn't question to Duarte, but general.

Hello mlukas,

I'm not acknowledging that you're 100% correct. As you yourself say, in your understanding, matches are still very high. They have corrected the algorithm and now the results are more consistent with Genesis GEDmach in the default selections. In that sense, if they should explain, Genesis GEDmatch should also :)

Big hug and have a nice weekend :good_job:

Duarte
04-05-19, 14:52
My case.
MyTrueAncestry.com X Genesis GEDmatch:

https://i.imgur.com/c1a958Y.jpg

https://i.imgur.com/ubVxWKD.jpg

Angela
04-05-19, 16:36
@MLukas,
It would be very nice if you re-uploaded all the Collegno and Szolad samples which you removed. Thanks in advance.

It still remains to be explained by someone at gedmatch why we get such incredibly high matches with really old samples like Loschbour, LBK, NE1, BR2, and others.

The fact that mytrueancestry made such an egregious error is concerning, as is the fact it all seems to be based on work by Eurogenes, which is always suspect until proven otherwise imho. (On the K15 upon which it seems to be based my closest fits are a 5 and a 6, perhaps the worst fits I've ever gotten on any calculator, and I know my ancestry for the last 500 years at least. MDLP is much better.)

I'll stick with my free version even if it's just for fun.

Duarte
04-05-19, 17:26
There are two new functionalities in MyTrueAncestry.com: The "Deep Dive Euro Map" and the "Deep Dive Asia Map".
Also, data in the Archaelogical Maps (Europe and Asia), was actualizized.
See some of my data below. I recomend that all who payed for the service, do the same.

https://i.imgur.com/Rb5kPbA.png
https://i.imgur.com/2ZzSGC6.png

https://i.imgur.com/Zm5b718.png
https://i.imgur.com/SIMrXmQ.png

https://i.imgur.com/RJs9BCy.png

https://i.imgur.com/yx2xVe1.png
https://i.imgur.com/ObfN9AM.png

matty74
04-05-19, 23:22
https://i.imgur.com/5tcCeMh.png

Seems to be a slight change from the new update at the bottom:

https://i.imgur.com/etZMlCp.png

Duarte
05-05-19, 00:32
https://i.imgur.com/5tcCeMh.png

Seems to be a slight change from the new update at the bottom:

https://i.imgur.com/etZMlCp.png
In your case the mainly matches are with more recent samples (1600 AD and 1000 AD, high quality: 89). The quality of sample Bell Beaker (2050 BC ) is 35, much more low. Big Hug :)

Lukas
05-05-19, 00:34
@MLukas,
It would be very nice if you re-uploaded all the Collegno and Szolad samples which you removed. Thanks in advance.
.

I removed them few months ago because as there didn't have full snps number they were marked as damaged by Gedmatch after migration to Genesis.

Uploading all takes much time. Maybe just upload those which are most popular in people results?

Duarte
05-05-19, 00:35
E-Mail received now from MyAncestry.com:

https://i.imgur.com/2hAEq3w.jpg

Angela
05-05-19, 02:41
I removed them few months ago because as there didn't have full snps number they were marked as damaged by Gedmatch after migration to Genesis.

Uploading all takes much time. Maybe just upload those which are most popular in people results?

Thank you for your response, MLukas.

Anything you can do would be great. :)

Salento
05-05-19, 06:30
Deep-Dive Map:
https://i.imgur.com/tazMbeB.jpg

Archaeological Map:
https://i.imgur.com/y1VTNBl.jpg

Premium Map:
https://i.imgur.com/ny2l6FF.jpg

Duarte
05-05-19, 13:45
Deep-Dive Map:
https://i.imgur.com/tazMbeB.jpg

Archaeological Map:
https://i.imgur.com/y1VTNBl.jpg

Premium Map:
https://i.imgur.com/ny2l6FF.jpg

ILLYRIAM/DALMATIA 1200 BC - I1333 - Genesis GEDmatch - mine:

https://i.imgur.com/ccLPJG0.jpg
https://i.imgur.com/H51LqFe.jpg

THRACIAN BULGARIA 450 BC - I5769 - Genesis GEDmatch - mine:

https://i.imgur.com/ldzgtpY.jpg
https://i.imgur.com/pHBhGl0.jpg