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View Full Version : Dodecad Globe 13 Ancient & Modern



Jovialis
07-12-20, 22:10
Christmas update!:

I have 2,441 aDNA coordinates for Dodecad Globe 13, from 41 academic studies.

I have also included the Modern Dodecad Globe 13 populations, with an expanded version for West Eurasians, with the individual HGDP samples.

[Download zip file here] (https://www.mediafire.com/file/izzd02lzxqbl71j/Ancient+&+Modern+Dodecad+Globe+13+[Update+6-9-21].zip/file)
(https://www.mediafire.com/file/v5vgob0p37c72tn/Ancient+&+Modern+Dodecad+Globe+13+(Update+12-25-20).zip/file)
Paste them into Vahaduo source tabs for analysis.

I have arranged them in three different formats.

One for the 3D PCA, all grouped as "aDNA" for clarity.

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

One divided by the study the samples are from.

https://i.imgur.com/yu3oyvt.png

One arranged by individual sample numbers.

https://i.imgur.com/y19YMiP.png

https://i.imgur.com/s7VSHzK.png

Jovialis
07-12-20, 22:24
Here are the samples arranged by their study in the 3D PCA.

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

Salento
07-12-20, 23:25
Dod K13
individual sample arrangement

... Thanks Jovialis :)

https://i.imgur.com/CcjXEXd.gif
https://i.imgur.com/9HuOBvD.gif

Stuvanè
08-12-20, 13:25
My Dod k13 (individual sample arrangement)



Distance to:
Dodecad_Glob_13Stuvanè


4.08461749
I12221:Fernandes_et_al_2020


4.34099067
R1:Antonio_M_et_al_2019


5.09472276
R33:Antonio_M_et_al_2019


5.18898834
I6491:Olalde_et_al_2019


5.19982692
R55:Antonio_M_et_al_2019


5.21557284
scy300:Krzewińska_et_al_2018


5.21999042
scy305:Krzewińska_et_al_2018


5.62549553
scy192:Krzewińska_et_al_2018


5.62836566
I7041:Olalde_et_al._2018


5.67967429
scy197:Krzewińska_et_al_2018


6.18153703
I3499:Mathieson_et_al_2018


6.45676390
I3313:Mathieson_et_al_2018


6.72580850
I4331:Mathieson_et_al_2018


7.03241068
I4332:Mathieson_et_al_2018


7.23624903
R105:Antonio_M_et_al_2019


7.48278691
R36:Antonio_M_et_al_2019


7.69515432
R111:Antonio_M_et_al_2019


7.69551818
I3574:Olalde_et_al_2019


7.72903616
R1285:Antonio_M_et_al_2019


7.79855756
R1283:Antonio_M_et_al_2019


8.25667609
I7043:Olalde_et_al._2018


8.35907890
R120:Antonio_M_et_al_2019


8.41250260
I8475:Olalde_et_al_2019


8.59768574
R1287:Antonio_M_et_al_2019


8.63588444
R474:Antonio_M_et_al_2019









Distance: 0.9094% / 0.90942080
Target: Dodecad_Glob_13Stuvanè | ADC: 0.25x RC


30.4
R55





24.7
R120





23.1
I12221





17.3
R1





2.9
PSS4693





1.6
scy300

Jovialis
08-12-20, 17:35
FYI,

You can obtain your coordinates for Dodecad Globe 13 from Admixture Studio. The calculator is not on GEDmatch or GEDmatch Genesis.

Duarte
08-12-20, 19:22
Thanks Jovialis



Distance to:
Duarte


5.65621782
I12514:Olalde_et_al_2019


6.13415031
I10895:Olalde_et_al_2019


6.24398110
I10866:Olalde_et_al_2019


6.26891538
I10853:Olalde_et_al_2019


6.39570168
I10892:Olalde_et_al_2019


6.55540235
I1313:Olalde_et_al_2019


6.74273683
R110:Antonio_M_et_al_2019


6.89459208
I12516:Olalde_et_al_2019


6.91129510
R109:Antonio_M_et_al_2019


6.92582125
I10852:Olalde_et_al_2019


6.93939479
I3584:Olalde_et_al_2019


6.94108061
I6490:Olalde_et_al_2019


7.29715013
por003:C_Valdiosera_et_al._2018


7.49508506
I3585:Olalde_et_al_2019


7.59223946
ERS88:S_Brunel_et_al._2020


7.61400683
R1289:Antonio_M_et_al_2019


7.67329786
R474:Antonio_M_et_al_2019


7.71966321
R63:Antonio_M_et_al_2019


7.71978627
I4890:Olalde_et_al._2018


7.78762480
I7673:Olalde_et_al_2019


7.79531911
I5524:Olalde_et_al._2018


7.85466740
I7675:Olalde_et_al_2019


7.96866363
R61:Antonio_M_et_al_2019


7.99977500
R473:Antonio_M_et_al_2019


8.00427386
I12649:Olalde_et_al_2019








Distance: 0.6767% / 0.67667683
Target: Duarte | ADC: 0.5x RC



43.3
I10866





24.9
I12648





13.5
I12516





8.1
I7427





5.3
I3574





4.9
I3584










Distance: 0.6133% / 0.61333680
Target: Duarte | ADC: 0.25x RC



37.6
I10866





21.3
I12648





13.4
I12516





11.0
I3584





8.9
I7427





7.7
R474





0.1
I5019

Jovialis
15-12-20, 05:15
https://i.imgur.com/ufaILGq.png

https://i.imgur.com/n6RomDa.png

https://i.imgur.com/7aYjuDw.png

Salento
15-12-20, 06:13
... from the website:

https://i.imgur.com/d8hMqiG.jpg

Salento
15-12-20, 06:27
https://i.imgur.com/SezwjG3.jpg

https://i.imgur.com/NNCZ2nA.jpg

Duarte
16-12-20, 03:18
Iberian samples grouped. Olalde et al’s PCA.

https://i.imgur.com/LNBYcm7.jpg
https://i.imgur.com/icusTYw.jpg

Jovialis
16-12-20, 14:16
https://i.imgur.com/SezwjG3.jpg
https://i.imgur.com/NNCZ2nA.jpg

alas, even Dodecad Globe 13 is not 100% accurate in recreating the PCA from the study, as some samples are a tad out of place. Nevertheless, it is a good approximation.

One day, there will be a calculator that will more accurately project the samples, and I will be there with these files, ready to instantaneously roll out coordinates.

Salento
16-12-20, 17:04
R53 and R54 are related (first cousins or great grandparents, or...), I ran each sample on various calculators, ... more or less relative similar distances from each other, but they’re closer to me than to each other, R54 in particular that just like me, on dodk13 gets R58 as his top sample, ... so out of curiosity, I added on SOURCE couple of extra kits of mine:

https://i.imgur.com/64pJ2nJ.jpg

https://i.imgur.com/tCT956H.jpg

... no close relatives among the 134 ancient Italian individuals (including 127 from central Italian peninsula and 7 from Sardinia). All pairs have kinship coefficients below 0.035, except for R53 and R54, who have an estimated kinship coefficient of 0.0639 corresponding to third-degree relationships (e.g., great- grandparents, first cousins). Both of these two individuals were found in Villa Magna, dated to late Medieval (1280-1430 CE) and inferred to be male ...

https://science.sciencemag.org/content/sci/suppl/2019/11/06/366.6466.708.DC1/aay6826_Antonio_SM.pdf

Salento
16-12-20, 17:45
... the two cousins on my results:

https://i.imgur.com/L0QwuLL.jpg

Jovialis
25-12-20, 16:42
Big update just in time for Christmas! This is my gift to you all.

I have my completed my endeavor. I was able to yield 2441 aDNA samples from 41 academic studies:

Download (https://www.mediafire.com/file/v5vgob0p37c72tn/Ancient+&+Modern+Dodecad+Globe+13+(Update+12-25-20).zip/file)

Duarte
25-12-20, 17:03
Big update just in time for Christmas! This is my gift to you all.

I have my completed my endeavor. I was able to yield 2441 aDNA samples from 41 academic studies:

Download (https://www.mediafire.com/file/v5vgob0p37c72tn/Ancient+&+Modern+Dodecad+Globe+13+(Update+12-25-20).zip/file)

Many thanks Jovialis. You are a gentleman. A very Merry Christmas to you too. I am disabled to vote in this moment, but I am very happy with your gift. Later I will check it carefully.

Jovialis
25-12-20, 17:04
Thank you Duarte! You as well, Merry Christmas!

Palermo Trapani
25-12-20, 21:02
Big update just in time for Christmas! This is my gift to you all.

I have my completed my endeavor. I was able to yield 2441 aDNA samples from 41 academic studies:

Download (https://www.mediafire.com/file/v5vgob0p37c72tn/Ancient+&+Modern+Dodecad+Globe+13+(Update+12-25-20).zip/file)

Thanks Jovialis, already upvoted, Merry Christmas and Thanks for your hard work.

Merry Christmas to you Duarte as well and when Salento shows up Buon Natale as well (that goes to Jovialis as well!)

Duarte
25-12-20, 21:12
Thanks Jovialis, already upvoted, Merry Christmas and Thanks for your hard work.

Merry Christmas to you Duarte as well and when Salento shows up Buon Natale as well (that goes to Jovialis as well!)

God bless all. Thank you PTrapani:good_job:

Jovialis
25-12-20, 21:12
Thanks, Buon Natale Palermo!

Salento
26-12-20, 01:57
Merry Christmas to All ... :)

Jovialis
26-12-20, 17:38
Here are the studies I was able to obtain aDNA from:



Population genomics of Bronze Age Eurasia
https://web.archive.org/web/20200423055125/https://genetic-genealogy-tools.blogspot.com/ (https://web.archive.org/web/20200423055125/https:/genetic-genealogy-tools.blogspot.com/)


Ancient Rome: A genetic crossroads of Europe and the Mediterranean
https://www.ebi.ac.uk/ena/browser/view/PRJEB32566


Late Pleistocene human genome suggests a local origin for the first farmers of central Anatolia
https://www.ebi.ac.uk/ena/browser/view/PRJEB24794


Ancient DNA sheds light on the genetic origins of early Iron Age Philistines
https://www.ebi.ac.uk/ena/browser/view/PRJEB31035


The genetic history of Ice Age Europe
https://www.ebi.ac.uk/ena/browser/view/PRJEB13123


Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation
https://www.ebi.ac.uk/ena/browser/view/PRJEB27215


Ancient genomes suggest the eastern Pontic-Caspian steppe as the source of western Iron Age nomads
https://www.ebi.ac.uk/ena/browser/view/PRJEB27628


Ancient Fennoscandian genomes reveal origin and spread of Siberian ancestry in Europe
https://www.ebi.ac.uk/ena/browser/view/PRJEB29360


Genomic insights into the origin of farming in the ancient Near East
https://www.ebi.ac.uk/ena/browser/view/PRJEB14455


Genetic origins of the Minoans and Mycenaeans
https://www.ebi.ac.uk/ena/browser/view/PRJEB20914


The genomic history of southeastern Europe
https://www.ebi.ac.uk/ena/browser/view/PRJEB22652


The genomic history of the Iberian Peninsula over the past 8000 years
https://www.ebi.ac.uk/ena/browser/view/PRJEB30874


Genome flux and stasis in a five millennium transect of European prehistory
https://web.archive.org/web/20200423055125/https://genetic-genealogy-tools.blogspot.com/ (https://web.archive.org/web/20200423055125/https:/genetic-genealogy-tools.blogspot.com/)


Ancient Fennoscandian genomes reveal origin and spread of Siberian ancestry in Europe
https://www.ebi.ac.uk/ena/browser/view/PRJEB29360


Ancient genomes reveal social and genetic structure of Late Neolithic Switzerland
https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP250694


Genomic History of Neolithic to Bronze Age Anatolia, Northern Levant, and Southern Caucasus
https://www.ebi.ac.uk/ena/browser/view/PRJEB37213


Massive migration from the steppe was a source for Indo-European languages in Europe
https://www.ebi.ac.uk/ena/browser/view/PRJEB8448


Genomic Evidence Establishes Anatolia as the Source of the European Neolithic Gene Pool
https://www.ebi.ac.uk/ena/browser/view/PRJEB12155


Ancient genomes from present-day France unveil 7,000 years of its demographic history
https://www.ebi.ac.uk/ena/browser/view/PRJEB36529


The Beaker Phenomenon and the Genomic Transformation of Northwest Europe
https://www.ebi.ac.uk/ena/browser/view/PRJEB23635


Genomic analysis of pre-conquest human remains from the Canary Islands reveal close affinity to modern North Africans
https://www.ebi.ac.uk/ena/browser/view/PRJEB86458


Early farmers from across Europe descended directly from Neolithic Aegeans
https://www.ebi.ac.uk/ena/browser/view/PRJEB11848


An early modern human from Romania with a recent Neanderthal ancestor
https://www.ebi.ac.uk/ena/browser/view/PRJEB8987


Early Neolithic genomes from the eastern Fertile Crescent
https://www.ebi.ac.uk/ena/browser/view/PRJEB14180


Interactions between earliest Linearbandkeramik farmers and central European hunter gatherers at the dawn of European Neolithization
https://www.ebi.ac.uk/ena/browser/view/PRJEB33001


Genomics of Mesolithic Scandinavia
https://www.ebi.ac.uk/ena/browser/view/PRJEB21940


The Demographic Development of the First Farmers in Anatolia
https://www.ebi.ac.uk/ena/browser/view/PRJEB14675


Ancestry and demography and descendants of Iron Age nomads of the Eurasian Steppe
https://www.ebi.ac.uk/ena/browser/view/PRJEB18686


Four millennia of Iberian biomolecular prehistory illustrate the impact of prehistoric migrations at the far end of Eurasia
https://www.ebi.ac.uk/ena/browser/view/PRJEB23467


Genomic and strontium isotope variation reveal immigration patterns in a Viking Age town
https://www.ebi.ac.uk/ena/browser/view/PRJEB27220


The genomic ancestry of the Scandinavian Battle Axe culture and its relation to the broader Corded Ware horizon
https://www.ebi.ac.uk/ena/browser/view/PRJEB32786


The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean
https://www.ebi.ac.uk/ena/browser/view/PRJEB35980


Ancient genomes indicate population replacement in Early Neolithic Britain
https://www.ebi.ac.uk/ena/browser/view/PRJEB31249


Ancient human genome-wide data from a 3000-year interval in the Caucasus corresponds with eco-geographic regions
https://www.ebi.ac.uk/ena/browser/view/PRJEB29603


Genome-wide patterns of selection in 230 ancient Eurasians
https://www.ebi.ac.uk/ena/browser/view/PRJEB11450


Parallel paleogenomic transects reveal complex genetic history of early European farmers
https://www.ebi.ac.uk/ena/browser/view/PRJEB22629


Population genomic analysis of elongated skulls reveals extensive female-biased immigration in Early Medieval Bavaria
https://www.ebi.ac.uk/ena/browser/view/PRJEB23079


Ancient genomes link early farmers from Atapuerca in Spain to modern-day Basques
https://www.ebi.ac.uk/ena/browser/view/PRJEB9783


Shifts in the genetic landscape of the western Eurasian Steppe associated with the beginning and end of the Scythian dominance
https://www.ebi.ac.uk/ena/browser/view/PRJEB32764


Megalithic tombs in western and northern Neolithic Europe were linked to a kindred society
https://www.ebi.ac.uk/ena/browser/view/PRJEB31045


The arrival of Siberian ancestry connecting the Eastern Baltic to Uralic speakers further east
https://www.ebi.ac.uk/ena/browser/view/PRJEB31893

Jovialis
26-12-20, 17:40
Here are the studies I am unable to get aDNA from. The columns on the right indicate the reason:



New insights into the Tyrolean Iceman's origin and phenotype as inferred by whole-genome sequencing
https://www.ebi.ac.uk/ena/browser/view/PRJEB2830
1
*Unclear sample arrangement


ANGSD: Analysis of Next Generation Sequencing Data
?
?
*Cannot locate samples


Ancient admixture in human history
?
?
*Cannot locate samples


A Late Bronze Age II clay coffin from Tel Shaddudin the Central Jezreel Valley, Israel: context andhistorical implications
?
?
*Cannot locate samples


Testing support for the northern and southern dispersal routes out of Africa: an analysis of Levantine and southern Arabian populations
?
?
*Cannot locate samples


Ancient DNA of Phoenician remains indicates discontinuity in the settlement history of Ibiza
accession numbers: MH43585-43559
?
Author to upload bams


Upper Palaeolithic genomes reveal deep roots of modern Eurasians
https://www.ebi.ac.uk/ena/browser/view/PRJEB11364
3
BAMs do not work with WGSextract


The Neolithic Transition in the Baltic Was Not Driven by Admixture with Early European Farmers
https://www.ebi.ac.uk/ena/browser/view/PRJEB18067
9
BAMs do not work with WGSextract


The genetic history of admixture across inner Eurasia
https://www.ebi.ac.uk/ena/browser/view/PRJEB31152
6
BAMs do not work with WGSextract


Paleogenomic Evidence for Multi-generational Mixing between Neolithic Farmers and Mesolithic Hunter-Gatherers in the Lower Danube Basin
https://www.ebi.ac.uk/ena/browser/view/PRJEB20616
6
BAMs do not work with WGSextract


Extensive farming in Estonia started through a sex-biased migration from the Steppe
https://www.ebi.ac.uk/ena/browser/view/PRJEB21037
9
BAMs do not work with WGSextract


Genomic signals of migration and continuity in Britain before the Anglo-Saxons
https://www.ebi.ac.uk/ena/browser/view/PRJEB11004
14
BAMs do not work with WGSextract


The population genomics of archaeological transition in west Iberia: Investigation of ancient substructure using imputation and haplotype-based methods
https://www.ebi.ac.uk/ena/browser/view/PRJEB14737
14
BAMs do not work with WGSextract


A western route of prehistoric human migration from Africa into the Iberian Peninsula
https://www.ebi.ac.uk/ena/browser/view/PRJEB29189
21
BAMs do not work with WGSextract


The first horse herders and the impact of early Bronze Age steppe expansions into Asia
https://www.ebi.ac.uk/ena/browser/view/PRJEB26349
111
BAMs do not work with WGSextract


Paleogenomics. Genomic structure in Europeans dating back at least 36,200 years
https://www.ebi.ac.uk/ena/browser/view/PRJEB7618
1
BAMs do not work with WGSextract


Unraveling ancestry, kinship, and violence in a Late Neolithic mass grave
https://www.ebi.ac.uk/ena/browser/view/PRJEB28451
24
BAMs do not work with WGSextract


Kinship-based social inequality in Bronze Age Europe
https://www.ebi.ac.uk/ena/browser/view/PRJEB34400
104
BAMs do not work with WGSextract


137 ancient human genomes from across the Eurasian steppes
https://www.ebi.ac.uk/ena/browser/view/PRJEB20658
137
BAMs do not work with WGSextract


Ancient genomes from Iceland reveal the making of a human population
https://www.ebi.ac.uk/ena/browser/view/PRJEB26760
27
BAMs do not work with WGSextract


Deep genome sequencing for diverse human populations from around the world
https://www.ebi.ac.uk/ena/browser/view/PRJEB9586
116
Files too big


Understanding 6th-century barbarian social organization and migration through paleogenomics
https://www.ebi.ac.uk/ena/browser/view/PRJEB27220
53
No FTP BAMs


Neolithic and Bronze Age migration to Ireland and establishment of the insular Atlantic genome
https://www.ebi.ac.uk/ena/browser/view/PRJEB11995
28
No FTP BAMs


A genomic Neolithic time transect of hunter-farmer admixture in central Poland
https://www.ebi.ac.uk/ena/browser/view/PRJNA318237
17
No FTP BAMs


Ancient genomes from North Africa evidence prehistoric migrations to the Maghreb from both the Levant and Europe
https://www.ebi.ac.uk/ena/browser/view/PRJEB22699
23
No FTP BAMs


Continuity and Admixture in the Last Five Millennia of Levantine History from Ancient Canaanite and Present-Day Lebanese Genome Sequences
https://www.ebi.ac.uk/ena/browser/view/PRJEB21330
100
No FTP BAMs


A Transient Pulse of Genetic Admixture from the Crusaders in the Near East Identified from Ancient Genome Sequences
https://www.ebi.ac.uk/ena/browser/view/PRJEB31618
116
No FTP BAMs


The genetic prehistory of the Baltic Sea region
https://www.ebi.ac.uk/ena/browser/view/PRJNA421333
80
No FTP BAMs


Ancient Genomes Reveal Yamnaya-Related Ancestry and a Potential Source of Indo-European Speakers in Iron Age Tianshan
https://www.ebi.ac.uk/ena/browser/view/PRJEB32336
10
No FTP BAMs


A Common Genetic Origin for Early Farmers from Mediterranean Cardial and Central European LBK Cultures
https://www.ebi.ac.uk/ena/browser/view/PRJNA280812
12
No FTP BAMs


Derived immune and ancestral pigmentation alleles in a 7,000-year-old Mesolithic European
https://www.ebi.ac.uk/ena/browser/view/PRJNA230689
1
No FTP BAMs


Iron Age and Anglo-Saxon genomes from East England reveal British migration history (Hinxton)
https://www.ebi.ac.uk/ena/browser/view/PRJEB4604 (https://www.ebi.ac.uk/ena/browser/view/PRJEB4604)
92
No FTP BAMs


Iron Age and Anglo-Saxon genomes from East England reveal British migration history (Linton and Oakington)
https://www.ebi.ac.uk/ena/browser/view/PRJEB6915
18
No FTP BAMs


Genomic diversity and admixture differs for Stone-Age Scandinavian foragers and farmers
https://www.ebi.ac.uk/ena/browser/view/PRJEB6090
35
No FTP BAMs


Ancient Egyptian mummy genomes suggest an increase of Sub-Saharan African ancestry in post-Roman periods
https://www.ebi.ac.uk/ena/browser/view/PRJEB15464
93
Raw data files are too small

lacreme
26-12-20, 18:39
amazing ! thank you very much for your hard work! but aren't these (the ancients at least) already on the vahaduo global k13 page ?

anyway, the top50 lists of a Greek friend and his mother (with the latter having a possible big influence from a west asian Greek pop like Cappadocians and/or Pontics, that's probably why she has quite bigger distances in general)





Distance to:
Chris


3.21121472
R64:Antonio_M_et_al_2019


3.57491259
R57:Antonio_M_et_al_2019


3.68766864
R836:Antonio_M_et_al_2019


3.79159597
R436:Antonio_M_et_al_2019


4.24333595
R973:Antonio_M_et_al_2019


4.30155786
R65:Antonio_M_et_al_2019


4.45313373
R1544:Antonio_M_et_al_2019


4.71823060
R54:Antonio_M_et_al_2019


4.80814933
R49:Antonio_M_et_al_2019


5.03709242
R117:Antonio_M_et_al_2019


5.13353679
R835:Antonio_M_et_al_2019


5.14076843
R136:Antonio_M_et_al_2019


5.28363511
R53:Antonio_M_et_al_2019


5.34635390
R58:Antonio_M_et_al_2019


5.90803690
R52:Antonio_M_et_al_2019


6.20847002
R131:Antonio_M_et_al_2019


6.23215853
R59:Antonio_M_et_al_2019


6.40630939
R47:Antonio_M_et_al_2019


6.46419369
R122:Antonio_M_et_al_2019


6.60056816
STR502b:KR_Veeramah_et_al._2018


6.68869943
R970:Antonio_M_et_al_2019


6.73218390
R32:Antonio_M_et_al_2019


6.85363407
R114:Antonio_M_et_al_2019


6.88179482
R35:Antonio_M_et_al_2019


7.02950923
R56:Antonio_M_et_al_2019


7.21467255
R1548:Antonio_M_et_al_2019


7.23346390
R118:Antonio_M_et_al_2019


7.29195447
R60:Antonio_M_et_al_2019


7.30406051
R1290:Antonio_M_et_al_2019


7.43123812
R121:Antonio_M_et_al_2019


7.46420123
R125:Antonio_M_et_al_2019


7.47283748
R137:Antonio_M_et_al_2019


7.58721293
R50:Antonio_M_et_al_2019


7.70285012
R969:Antonio_M_et_al_2019


7.94594236
R1549:Antonio_M_et_al_2019


8.58492865
R51:Antonio_M_et_al_2019


8.61013356
R437:Antonio_M_et_al_2019


8.71775774
R113:Antonio_M_et_al_2019


9.01173124
R69:Antonio_M_et_al_2019


9.06444703
R30:Antonio_M_et_al_2019


9.46790368
R107:Antonio_M_et_al_2019


9.70455563
R850:Antonio_M_et_al_2019


10.01113880
R36:Antonio_M_et_al_2019


10.33894095
R123:Antonio_M_et_al_2019


10.47804371
R133:Antonio_M_et_al_2019


10.56867541
R1545:Antonio_M_et_al_2019


10.67855327
R1283:Antonio_M_et_al_2019


10.82845788
R115:Antonio_M_et_al_2019


11.21325555
R34:Antonio_M_et_al_2019


11.32976611
AEHIb:KR_Veeramah_et_al._2018








Distance to:
Chris_Mom


2.87167199
R1548:Antonio_M_et_al_2019


5.24008588
R114:Antonio_M_et_al_2019


5.41761940
R50:Antonio_M_et_al_2019


6.40588011
R136:Antonio_M_et_al_2019


6.43958073
R436:Antonio_M_et_al_2019


6.70587802
R1544:Antonio_M_et_al_2019


6.78897636
R850:Antonio_M_et_al_2019


7.19549859
R53:Antonio_M_et_al_2019


7.40632838
STR502b:KR_Veeramah_et_al._2018


7.44746266
R1545:Antonio_M_et_al_2019


7.53745978
R64:Antonio_M_et_al_2019


7.56463482
R123:Antonio_M_et_al_2019


7.61334355
R65:Antonio_M_et_al_2019


7.75233513
R137:Antonio_M_et_al_2019


7.95448930
R115:Antonio_M_et_al_2019


8.03191135
R51:Antonio_M_et_al_2019


8.60324357
R30:Antonio_M_et_al_2019


8.63240986
R125:Antonio_M_et_al_2019


8.67361516
R128:Antonio_M_et_al_2019


8.68377222
R54:Antonio_M_et_al_2019


8.77722621
R1543:Antonio_M_et_al_2019


8.96292921
R34:Antonio_M_et_al_2019


9.01214181
R117:Antonio_M_et_al_2019


9.02131919
R133:Antonio_M_et_al_2019


9.13192203
R66:Antonio_M_et_al_2019


9.32612996
R58:Antonio_M_et_al_2019


9.48902524
R57:Antonio_M_et_al_2019


9.49352938
R39:Antonio_M_et_al_2019


9.66421751
R973:Antonio_M_et_al_2019


9.72639193
R69:Antonio_M_et_al_2019


9.84931470
R134:Antonio_M_et_al_2019


10.03665781
R836:Antonio_M_et_al_2019


10.06340897
TIT003:Skourtanioti_et_al_2020


10.10539955
R49:Antonio_M_et_al_2019


10.16548572
R35:Antonio_M_et_al_2019


10.18058937
I8205:Olalde_et_al_2019


10.34281393
R81:Antonio_M_et_al_2019


10.34383875
I1631:Lazaridis_et_al_2016


10.50172843
I1634:Lazaridis_et_al_2016


10.60666771
R47:Antonio_M_et_al_2019


10.73297256
I1632:Lazaridis_et_al_2016


10.80243954
I12223:Fernandes_et_al_2020


11.07870028
R56:Antonio_M_et_al_2019


11.25611834
R835:Antonio_M_et_al_2019


11.36892695
R52:Antonio_M_et_al_2019


11.42575599
R40:Antonio_M_et_al_2019


11.43946240
R131:Antonio_M_et_al_2019


11.46836518
R122:Antonio_M_et_al_2019


11.68729652
IKI024:Skourtanioti_et_al_2020


11.75794200
R59:Antonio_M_et_al_2019

Jovialis
26-12-20, 18:44
amazing ! thank you very much for your hard work! but aren't these (the ancients at least) already on the vahaduo global k13 page ?

anyway, the top50 lists of a Greek friend and his mother (with the latter having a possible big influence from a west asian Greek pop like Cappadocians and/or Pontics, that's probably why she has quite bigger distances in general)





Distance to:
Chris


3.21121472
R64:Antonio_M_et_al_2019


3.57491259
R57:Antonio_M_et_al_2019


3.68766864
R836:Antonio_M_et_al_2019


3.79159597
R436:Antonio_M_et_al_2019


4.24333595
R973:Antonio_M_et_al_2019


4.30155786
R65:Antonio_M_et_al_2019


4.45313373
R1544:Antonio_M_et_al_2019


4.71823060
R54:Antonio_M_et_al_2019


4.80814933
R49:Antonio_M_et_al_2019


5.03709242
R117:Antonio_M_et_al_2019


5.13353679
R835:Antonio_M_et_al_2019


5.14076843
R136:Antonio_M_et_al_2019


5.28363511
R53:Antonio_M_et_al_2019


5.34635390
R58:Antonio_M_et_al_2019


5.90803690
R52:Antonio_M_et_al_2019


6.20847002
R131:Antonio_M_et_al_2019


6.23215853
R59:Antonio_M_et_al_2019


6.40630939
R47:Antonio_M_et_al_2019


6.46419369
R122:Antonio_M_et_al_2019


6.60056816
STR502b:KR_Veeramah_et_al._2018


6.68869943
R970:Antonio_M_et_al_2019


6.73218390
R32:Antonio_M_et_al_2019


6.85363407
R114:Antonio_M_et_al_2019


6.88179482
R35:Antonio_M_et_al_2019


7.02950923
R56:Antonio_M_et_al_2019


7.21467255
R1548:Antonio_M_et_al_2019


7.23346390
R118:Antonio_M_et_al_2019


7.29195447
R60:Antonio_M_et_al_2019


7.30406051
R1290:Antonio_M_et_al_2019


7.43123812
R121:Antonio_M_et_al_2019


7.46420123
R125:Antonio_M_et_al_2019


7.47283748
R137:Antonio_M_et_al_2019


7.58721293
R50:Antonio_M_et_al_2019


7.70285012
R969:Antonio_M_et_al_2019


7.94594236
R1549:Antonio_M_et_al_2019


8.58492865
R51:Antonio_M_et_al_2019


8.61013356
R437:Antonio_M_et_al_2019


8.71775774
R113:Antonio_M_et_al_2019


9.01173124
R69:Antonio_M_et_al_2019


9.06444703
R30:Antonio_M_et_al_2019


9.46790368
R107:Antonio_M_et_al_2019


9.70455563
R850:Antonio_M_et_al_2019


10.01113880
R36:Antonio_M_et_al_2019


10.33894095
R123:Antonio_M_et_al_2019


10.47804371
R133:Antonio_M_et_al_2019


10.56867541
R1545:Antonio_M_et_al_2019


10.67855327
R1283:Antonio_M_et_al_2019


10.82845788
R115:Antonio_M_et_al_2019


11.21325555
R34:Antonio_M_et_al_2019


11.32976611
AEHIb:KR_Veeramah_et_al._2018







Distance to:
Chris_Mom


2.87167199
R1548:Antonio_M_et_al_2019


5.24008588
R114:Antonio_M_et_al_2019


5.41761940
R50:Antonio_M_et_al_2019


6.40588011
R136:Antonio_M_et_al_2019


6.43958073
R436:Antonio_M_et_al_2019


6.70587802
R1544:Antonio_M_et_al_2019


6.78897636
R850:Antonio_M_et_al_2019


7.19549859
R53:Antonio_M_et_al_2019


7.40632838
STR502b:KR_Veeramah_et_al._2018


7.44746266
R1545:Antonio_M_et_al_2019


7.53745978
R64:Antonio_M_et_al_2019


7.56463482
R123:Antonio_M_et_al_2019


7.61334355
R65:Antonio_M_et_al_2019


7.75233513
R137:Antonio_M_et_al_2019


7.95448930
R115:Antonio_M_et_al_2019


8.03191135
R51:Antonio_M_et_al_2019


8.60324357
R30:Antonio_M_et_al_2019


8.63240986
R125:Antonio_M_et_al_2019


8.67361516
R128:Antonio_M_et_al_2019


8.68377222
R54:Antonio_M_et_al_2019


8.77722621
R1543:Antonio_M_et_al_2019


8.96292921
R34:Antonio_M_et_al_2019


9.01214181
R117:Antonio_M_et_al_2019


9.02131919
R133:Antonio_M_et_al_2019


9.13192203
R66:Antonio_M_et_al_2019


9.32612996
R58:Antonio_M_et_al_2019


9.48902524
R57:Antonio_M_et_al_2019


9.49352938
R39:Antonio_M_et_al_2019


9.66421751
R973:Antonio_M_et_al_2019


9.72639193
R69:Antonio_M_et_al_2019


9.84931470
R134:Antonio_M_et_al_2019


10.03665781
R836:Antonio_M_et_al_2019


10.06340897
TIT003:Skourtanioti_et_al_2020


10.10539955
R49:Antonio_M_et_al_2019


10.16548572
R35:Antonio_M_et_al_2019


10.18058937
I8205:Olalde_et_al_2019


10.34281393
R81:Antonio_M_et_al_2019


10.34383875
I1631:Lazaridis_et_al_2016


10.50172843
I1634:Lazaridis_et_al_2016


10.60666771
R47:Antonio_M_et_al_2019


10.73297256
I1632:Lazaridis_et_al_2016


10.80243954
I12223:Fernandes_et_al_2020


11.07870028
R56:Antonio_M_et_al_2019


11.25611834
R835:Antonio_M_et_al_2019


11.36892695
R52:Antonio_M_et_al_2019


11.42575599
R40:Antonio_M_et_al_2019


11.43946240
R131:Antonio_M_et_al_2019


11.46836518
R122:Antonio_M_et_al_2019


11.68729652
IKI024:Skourtanioti_et_al_2020


11.75794200
R59:Antonio_M_et_al_2019




You can paste the coordinates here to see it in the 3D PCA

https://vahaduo.github.io/custompca/

lacreme
26-12-20, 19:44
Took the coordinates of their top25 ancient matches (obviously some are shared ) but I don't know how to "read" a 3D PCA.. I can sort of understand by the placements in the 3d space if something is a part of a cluster of similar samples or not but I don't know how to read the trends that show up in the placements.
Can someone help me by providing a commentary of the results ? thanks in advance



Chris,0,0.41,0,0.8,14.55,0.82,35.86,0.15,0.05,26.6 7,19.87,0.82,0
Chris_Mom,0,0.16,0,0,17.18,0.81,32.19,0.06,0.26,30 .46,16.31,1.25,1.32
aDNA:Antonio_M_et_al_2019:R1548,0,0,0.6,0,18.94,0, 33.55,0,0,29.96,16.03,0.91,0
aDNA:Antonio_M_et_al_2019:R114,0,0.64,0.78,0.45,19 .35,0,35.43,0,0,27.94,15.4,0,0
aDNA:Antonio_M_et_al_2019:R50,0,0,0.96,0.17,20.26, 0,34.3,0.68,0.17,27.19,15.42,0.85,0
aDNA:Antonio_M_et_al_2019:R136,0,0.2,0.59,0,18.43, 0.33,36.19,0.09,0.38,25.85,16.92,0.41,0.58
aDNA:Antonio_M_et_al_2019:R436,0,0,0.77,0.05,17.39 ,0.8,36.25,0,0.49,26.08,17.87,0.3,0
aDNA:Antonio_M_et_al_2019:R1544,0.82,0,0.4,0,16.67 ,0,37.33,1.01,0,26.96,16.81,0,0
aDNA:Antonio_M_et_al_2019:R850,0,0,0.69,0.33,21.44 ,0.46,35.17,0,0.5,27.91,13.33,0,0.17
aDNA:Antonio_M_et_al_2019:R53,0,0.8,0.56,0,17.58,0 .5,37.23,0.55,0,25.63,16.27,0,0.88
aDNA:KR_Veeramah_et_al._2018:STR502b,0,0.23,2.37,1 .34,15.52,0,33.73,0,0.21,25.34,16.32,4.95,0
aDNA:Antonio_M_et_al_2019:R1545,0,0,0.95,0,20.13,0 ,36.54,1,0,29.71,11.68,0,0
aDNA:Antonio_M_et_al_2019:R64,0.55,0.32,0.65,0.09, 16.01,0,36.15,0.75,1.11,25.08,18.76,0,0.52
aDNA:Antonio_M_et_al_2019:R123,0,0,0.35,0.09,19.12 ,0.83,37.2,1,0,29.98,11.44,0,0
aDNA:Antonio_M_et_al_2019:R65,0,0.58,0.66,0,16.96, 0.32,37.85,0.3,0,25.94,17.39,0,0
aDNA:Antonio_M_et_al_2019:R137,0,0.1,0.42,0.68,17. 76,0,38.75,0.06,0.36,27.83,14.03,0,0
aDNA:Antonio_M_et_al_2019:R115,0.91,0,0.58,0,21.38 ,0,36.37,0.28,0,28.58,11.91,0,0
aDNA:Antonio_M_et_al_2019:R51,0,0,0.34,0,18.28,0.7 7,38.4,1.56,0,27.75,12.9,0,0
aDNA:Antonio_M_et_al_2019:R30,0,0,0.74,0.27,17.73, 1.82,38.59,0.57,0,27.08,12.1,0,1.1
aDNA:Antonio_M_et_al_2019:R125,0,0.15,0.53,0.3,16. 76,0,39.93,0,0,27.98,14.34,0,0
aDNA:Antonio_M_et_al_2019:R128,0,0.33,0.33,0.12,20 .07,0,35.84,0.5,0,32.87,9.68,0.26,0
aDNA:Antonio_M_et_al_2019:R54,0,0,0.15,0,17.43,0.8 2,35.01,0.39,0.76,23.63,20.64,0,1.16
aDNA:Antonio_M_et_al_2019:R1543,0,1.03,0.92,0.61,2 2.37,0.26,35.18,0,0,28.28,10.65,0.67,0.02
aDNA:Antonio_M_et_al_2019:R34,0.49,0,1.02,0.09,19. 67,0.27,37.95,0.17,0,28.39,10.51,0.09,1.34
aDNA:Antonio_M_et_al_2019:R117,0,0.54,0.44,0.3,15. 92,0,39.14,0,0.82,25.2,16.97,0.29,0.37
aDNA:Antonio_M_et_al_2019:R133,0.77,0,0.97,0,19.87 ,0.6,38.3,0.24,0,27.59,11.39,0.21,0.06
aDNA:Antonio_M_et_al_2019:R66,0,0,0.19,0,22.02,0.7 ,36.59,1.2,0,28.72,10.58,0,0
aDNA:Antonio_M_et_al_2019:R57,0,0,0.85,0,15.66,0.6 6,37.55,0.74,0,24.18,20.22,0.14,0
aDNA:Antonio_M_et_al_2019:R836,0,0.42,0,0.3,14.11, 0,39.04,0,0.4,25.48,20.24,0,0
aDNA:Antonio_M_et_al_2019:R973,0.33,0.37,1.54,0.11 ,14.12,0,39.17,0.04,0,25.63,18.66,0,0.04
aDNA:Antonio_M_et_al_2019:R49,0,0,0.81,0.18,14.9,0 .03,39.53,0.72,0,24.59,18.51,0,0.72
aDNA:Antonio_M_et_al_2019:R835,0,0.73,0,0,15.13,0. 84,37.51,0.61,0.8,22.38,21.4,0,0.6
aDNA:Antonio_M_et_al_2019:R58,0,0.22,0.81,0,18.28, 0.45,36.38,0,0,23.24,19.95,0,0.68
aDNA:Antonio_M_et_al_2019:R52,0,0.91,1.24,0.12,16. 19,0.47,39.09,0,0.2,22.37,19.42,0,0
aDNA:Antonio_M_et_al_2019:R131,0,0,1.09,0,16.51,0. 84,39.33,0,0,22.19,19.12,0.91,0
aDNA:Antonio_M_et_al_2019:R59,0.03,0,1.66,0,16.4,1 .28,38.29,0.17,0,21.7,20.47,0,0
aDNA:Antonio_M_et_al_2019:R47,0.28,0,0.72,0,14.49, 0,40.47,0.36,1.27,24.75,16.6,0,1.06
aDNA:Antonio_M_et_al_2019:R122,0,0,0.57,0.48,14.83 ,0.14,40.55,0.24,0.62,23.31,17.8,0,1.44
aDNA:Antonio_M_et_al_2019:R970,0,0.86,1.39,0.17,13 .47,0,37.8,0,0.5,22.1,23.72,0,0
aDNA:Antonio_M_et_al_2019:R32,0,0.28,1.33,0,14.79, 0.39,40.92,0.07,0.34,23.28,17.82,0,0.77
aDNA:Antonio_M_et_al_2019:R35,0,0,0.83,0,18.49,0,3 8.14,1.43,0,22.72,17.46,0.03,0.89
aDNA:Antonio_M_et_al_2019:R56,0,0,0.09,0,16.51,0,3 9.8,0,1.87,22.81,17.25,0,1.67

Jovialis
26-12-20, 21:07
@lacreme, they are very Greek :)

Plotting in the range of modern Cretans, and some Coriell. The Dodecad G13 sample labeled "Greek" looks be be more representative of Thessaloniki.

https://i.imgur.com/gjrL7mK.jpg

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

Jovialis
26-12-20, 21:16
Here is another angle:

https://i.imgur.com/KfjEb8S.png

Angela
26-12-20, 22:11
Indeed, that was always the problem with that sample; all the samples were taken from Thessaloniki. There wasn't even one from the Peloponnese, for example.

We've been saying here for years that it was misleading, but the usual suspects just wouldn't accept it.

lacreme
27-12-20, 10:36
Thank you Jovialis !
I wonder if the Greek average on global K13 is ported over from eurogenes K13 because the Greek average on it has the same attributes... It clusters with northern/northwestern Greeks and Albanians...

Angela
27-12-20, 16:08
To my knowledge, Dodecad used what was the only academic sample available at the time, which was indeed Thessaloniki. It also used the data of its own volunteers, which means it's the luck of the draw.

We now have lots of samples from the Peloponnese, for example, so we know more about the differences among Greeks.

Duarte
27-12-20, 17:17
Once again, thank you Jovialis



Distance to:
Duarte


5.65621782
I12514:Olalde_et_al_2019


6.13415031
I10895:Olalde_et_al_2019


6.24398110
I10866:Olalde_et_al_2019


6.26891538
I10853:Olalde_et_al_2019


6.39570168
I10892:Olalde_et_al_2019


6.55540235
I1313:Olalde_et_al_2019


6.74273683
R110:Antonio_M_et_al_2019


6.89459208
I12516:Olalde_et_al_2019


6.91129510
R109:Antonio_M_et_al_2019


6.92582125
I10852:Olalde_et_al_2019


6.93939479
I3584:Olalde_et_al_2019


6.94108061
I6490:Olalde_et_al_2019


7.29715013
por003:C_Valdiosera_et_al._2018


7.49508506
I3585:Olalde_et_al_2019


7.59223946
ERS88:S_Brunel_et_al._2020


7.61400683
R1289:Antonio_M_et_al_2019


7.67329786
R474:Antonio_M_et_al_2019


7.71966321
R63:Antonio_M_et_al_2019


7.71978627
I4890:Olalde_et_al._2018


7.78762480
I7673:Olalde_et_al_2019


7.79531911
I5524:Olalde_et_al._2018


7.85466740
I7675:Olalde_et_al_2019


7.96866363
R61:Antonio_M_et_al_2019


7.99977500
R473:Antonio_M_et_al_2019


8.00427386
I12649:Olalde_et_al_2019








Distance: 5.0823% / 5.08226885
Target: Duarte | ADC: 2x RC



59.4
I12514





40.6
I10866









Distance: 3.5164% / 3.51641624
Target: Duarte | ADC: 1x RC



47.6
I10866





35.0
I12516





17.4
I3584









Distance: 0.6741% / 0.67414613
Target: Duarte | ADC: 0.5x RC



43.2
I10866





24.5
I12648





11.9
I12516





8.0
I7427





6.1
I3574





5.6
I3584





0.7
I5019









Distance: 0.6135% / 0.61352036
Target: Duarte | ADC: 0.25x RC



37.7
I10866





21.4
I12648





13.6
I12516





10.8
I3584





8.9
I7427





7.6
R474

Palermo Trapani
28-12-20, 18:26
FYI,

You can obtain your coordinates for Dodecad Globe 13 from Admixture Studio. The calculator is not on GEDmatch or GEDmatch Genesis.

Jovialis: I bought Admixture Studio (go my unlock key) to run the various calculators they have with all the nice graphs. It seems when I rean Dodecad 13 I counted 14 population parameters, is that correct. Also, it will only let me upload my NAT GENO data which is in an excel spreadsheet format. I can't upload my Ancestry data.

I am sure it is a user error on my part, any suggestions.

Thanks, PT

Edit to my own post, there is a Ratio % that is included so that is what I think is the 14th population parameter I was seeing. So that is not included in the 13 needed to run the data you put together for us. I do believe.:thinking:

Palermo Trapani
28-12-20, 18:49
Jovialis: Great work again, My single Distances < 10. Using my NAT GENO results for the first time. Admixture studio can estimate mine which is in Excel format (GEDMATCH can't).



Distance to:
PalermtoTrapani


2.48963853
R131:Antonio_M_et_al_2019


2.68665219
R52:Antonio_M_et_al_2019


2.94604820
R59:Antonio_M_et_al_2019


3.19770230
R1290:Antonio_M_et_al_2019


3.38724076
R107:Antonio_M_et_al_2019


3.43426848
R118:Antonio_M_et_al_2019


3.71361010
R35:Antonio_M_et_al_2019


4.26532531
R56:Antonio_M_et_al_2019


4.34299436
R835:Antonio_M_et_al_2019


4.41466873
R58:Antonio_M_et_al_2019


4.48778342
R57:Antonio_M_et_al_2019


4.52332842
R32:Antonio_M_et_al_2019


4.54358889
R122:Antonio_M_et_al_2019


4.55346022
R437:Antonio_M_et_al_2019


4.75725761
R49:Antonio_M_et_al_2019


4.77737376
R121:Antonio_M_et_al_2019


5.36972066
R113:Antonio_M_et_al_2019


5.52247227
R969:Antonio_M_et_al_2019


5.56908431
R117:Antonio_M_et_al_2019


5.85054698
R836:Antonio_M_et_al_2019


5.87575527
R54:Antonio_M_et_al_2019


5.95906033
R65:Antonio_M_et_al_2019


6.02678189
R64:Antonio_M_et_al_2019


6.11297800
R973:Antonio_M_et_al_2019


6.11895416
R47:Antonio_M_et_al_2019


6.37150689
R970:Antonio_M_et_al_2019


6.41153648
I5769:Mathieson_et_al_2018


6.55257201
R53:Antonio_M_et_al_2019


6.67950597
R436:Antonio_M_et_al_2019


6.74675478
R1283:Antonio_M_et_al_2019


6.84621063
R60:Antonio_M_et_al_2019


6.90500543
R136:Antonio_M_et_al_2019


7.24789625
R1544:Antonio_M_et_al_2019


7.31606452
R120:Antonio_M_et_al_2019


7.34731243
AEHIb:KR_Veeramah_et_al._2018


7.50513158
R1287:Antonio_M_et_al_2019


7.67421006
R36:Antonio_M_et_al_2019


7.90699690
R1549:Antonio_M_et_al_2019


8.12731198
R111:Antonio_M_et_al_2019


8.22581303
I9041:Lazaridis_et_al_2017


8.27299220
R1285:Antonio_M_et_al_2019


8.60758387
I7424:Olalde_et_al_2019


8.61393638
I7500:Olalde_et_al_2019


8.76133551
I12220:Fernandes_et_al_2020


8.93598903
R125:Antonio_M_et_al_2019


8.99274708
I4054:Olalde_et_al_2019


9.07576443
R137:Antonio_M_et_al_2019


9.21547611
I9123:Lazaridis_et_al_2017


9.49070598
STR300b:KR_Veeramah_et_al._2018


9.58797685
R114:Antonio_M_et_al_2019


9.69865455
I8215:Olalde_et_al_2019


9.84960913
R51:Antonio_M_et_al_2019


9.85140599
R50:Antonio_M_et_al_2019


9.86559679
scy192:Krzewińska_et_al_2018


9.92107353
I3980:Olalde_et_al_2019


10.15281242
R30:Antonio_M_et_al_2019







Distance: 0.6716% / 0.67157361
Target: PalermtoTrapani | ADC: 0.25x RC


37.6
R35:Antonio_M_et_al_2019





34.0
R107:Antonio_M_et_al_2019





16.4
I5769:Mathieson_et_al_2018





9.3
R1290:Antonio_M_et_al_2019





2.7
R437:Antonio_M_et_al_2019

Jovialis
29-12-20, 17:26
Here are my samples under 10 distance:



Distance to:
Jovialis


1.88239210
R835:Antonio_M_et_al_2019


2.88196114
R970:Antonio_M_et_al_2019


3.02274709
R118:Antonio_M_et_al_2019


3.05267096
R57:Antonio_M_et_al_2019


3.10765185
R836:Antonio_M_et_al_2019


3.30939572
R969:Antonio_M_et_al_2019


3.65935787
R52:Antonio_M_et_al_2019


3.66102445
R1290:Antonio_M_et_al_2019


3.77499669
R59:Antonio_M_et_al_2019


3.98521016
R121:Antonio_M_et_al_2019


4.15472021
R49:Antonio_M_et_al_2019


4.30909503
R131:Antonio_M_et_al_2019


4.46497480
R60:Antonio_M_et_al_2019


4.57942136
R973:Antonio_M_et_al_2019


4.81608762
R64:Antonio_M_et_al_2019


4.86479188
R122:Antonio_M_et_al_2019


4.86578873
R54:Antonio_M_et_al_2019


4.90411052
R58:Antonio_M_et_al_2019


5.09959802
R32:Antonio_M_et_al_2019


5.60483720
R1549:Antonio_M_et_al_2019


5.67245097
R36:Antonio_M_et_al_2019


5.67554403
R56:Antonio_M_et_al_2019


5.70279756
R117:Antonio_M_et_al_2019


5.70356029
R107:Antonio_M_et_al_2019


5.96098146
R1283:Antonio_M_et_al_2019


6.04976033
R65:Antonio_M_et_al_2019


6.14089570
R47:Antonio_M_et_al_2019


6.29422751
R113:Antonio_M_et_al_2019


6.35473839
R35:Antonio_M_et_al_2019


6.38938182
R436:Antonio_M_et_al_2019


6.76984490
AEHIb:KR_Veeramah_et_al._2018


6.86272541
R437:Antonio_M_et_al_2019


7.06922910
R1544:Antonio_M_et_al_2019


7.09746434
R53:Antonio_M_et_al_2019


7.30831034
R111:Antonio_M_et_al_2019


7.35253018
R136:Antonio_M_et_al_2019


7.39555272
R1287:Antonio_M_et_al_2019


7.64414809
scy192:Krzewińska_et_al_2018


8.27882842
scy300:Krzewińska_et_al_2018


8.34441130
I5769:Mathieson_et_al_2018


8.35642268
R1285:Antonio_M_et_al_2019


8.67566712
R120:Antonio_M_et_al_2019


8.92494818
I5015:Olalde_et_al._2018


9.50521436
R125:Antonio_M_et_al_2019


9.54922510
STR502b:KR_Veeramah_et_al._2018


9.63221158
I4054:Olalde_et_al_2019


9.85668808
R137:Antonio_M_et_al_2019


9.93756006
I7424:Olalde_et_al_2019


9.98868860
R114:Antonio_M_et_al_2019


10.22774169
I12221:Fernandes_et_al_2020

Salento
29-12-20, 22:51
... under 10 distance

... Post #14 download, Ancient West Eurasia / Individual Sample Arrangement

... Credit to Jovialis :)


https://i.imgur.com/rOY0a0b.gif

Palermo Trapani
29-12-20, 23:12
Salento: Good list with Dodecad Global 13. Lots of overlap again among you, Jovialis and myself. Out of 4,000 samples that Jovialis put together (great work again!), I changed the gradiant to make it easier to read all of those samples so that is why all mine < 10 are in green.

I assume you got your Global 13 coordinates from Admixture studio. I went ahead and got the Pro Unlock. Some neat calculators there and as I noted in my post above, their programs read my NAT GENO data, which is in excel format with no problem.

Salento
30-12-20, 02:47
Salento: Good list with Dodecad Global 13. Lots of overlap again among you, Jovialis and myself. Out of 4,000 samples that Jovialis put together (great work again!), I changed the gradiant to make it easier to read all of those samples so that is why all mine < 10 are in green.

I assume you got your Global 13 coordinates from Admixture studio. I went ahead and got the Pro Unlock. Some neat calculators there and as I noted in my post above, their programs read my NAT GENO data, which is in excel format with no problem.

I ran the free version, ... I’m El Cheapo :)

... you mentioned NatGeo,

... up to 10 dist., NatGeo dod K13:
(NG top sample is R835, vs R58 with Combined raw-data),
... but R58 tops the Single ran

https://i.imgur.com/9JFFunE.gif
https://i.imgur.com/wla34o0.gif

Carlos
26-02-21, 16:42
Target: Father
Distance: 22.2122% / 22.21224537 | R7P



58.1
Arban_1_~2000_years_






39.9
I3810






2.0
GD39_Ganj_Dareh_Iran_Neolithic_








Target: Carlos
Distance: 21.4416% / 21.44159719 | R7P




60.0
Arban_1_~2000_years_





38.1
I3810





1.9
GD39_Ganj_Dareh_Iran_Neolithic_

Salento
25-04-21, 16:06
... coordinates.
The 7 Bronze/Copper Age R Sardinians (Dod 13 Gl... and Dod K12b + average)

Dod 13



R22_Sardinia_BA_Dodecad_Globe_13,0.00,0.00,0.00,0. 05,9.25,0.00,67.67,0.11,0.00,0.00,22.92,0.00,0.00
R24_Sardinia_BA_Dodecad_Globe_13,0.00,0.00,0.05,0. 00,12.45,0.17,67.25,0.38,0.46,0.00,18.99,0.00,0.25
R25_Sardinia_BA_Dodecad_Globe_13,0.00,0.00,0.37,0. 00,11.25,0.00,67.52,0.00,0.00,0.00,20.61,0.00,0.25
R26_Sardinia_BA_Dodecad_Globe_13,0.00,0.00,0.72,0. 00,11.73,0.00,68.21,0.00,0.27,0.00,19.06,0.00,0.00
R27_Sardinia_BA_Dodecad_Globe_13,0.59,0.00,0.16,0. 00,12.59,0.00,70.31,0.39,0.00,0.00,15.96,0.00,0.00
R28_Sardinia_BA_Dodecad_Globe_13,0.25,0.15,0.42,0. 00,9.54,0.00,69.92,0.16,0.00,0.00,19.54,0.00,0.00
R29_Sardinia_BA_Dodecad_Globe_13,0.00,0.00,0.80,0. 00,12.96,0.00,70.14,0.00,0.22,0.00,15.87,0.00,0.00



... Dod K12b with average:


R22_Sardinia_BA_Dodecad_K12b,0.00,0.00,1.56,0.00,7 0.07,6.26,0.00,0.00,8.00,0.00,14.11,0.00
R24_Sardinia_BA_Dodecad_K12b,0.00,0.00,3.65,0.12,6 8.32,4.47,0.48,0.00,9.36,0.00,13.60,0.00
R25_Sardinia_BA_Dodecad_K12b,0.00,0.00,4.94,0.00,6 7.22,5.70,0.00,0.00,6.47,0.00,15.67,0.00
R26_Sardinia_BA_Dodecad_K12b,0.00,0.00,4.22,0.00,6 7.59,4.33,0.00,0.00,7.23,0.00,16.52,0.11
R27_Sardinia_BA_Dodecad_K12b,0.00,0.46,2.73,0.06,6 8.69,0.00,0.00,0.00,9.48,0.00,18.58,0.00
R28_Sardinia_BA_Dodecad_K12b,0.00,0.00,4.17,0.00,7 0.94,4.06,0.00,0.00,7.01,0.42,13.18,0.23
R29_Sardinia_BA_Dodecad_K12b,0.00,0.00,4.13,0.00,7 1.74,0.85,0.24,0.00,8.79,0.15,14.10,0.00


R_Sardinia_BA_(n=7),0,0.065714286,3.628571429,0.02 5714286,69.22428571,3.667142857,0.102857143,0,8.04 8571429,0.081428571,15.10857143,0.048571429

Jovialis
25-04-21, 16:37
Thanks for the contribution!

Salento
25-04-21, 16:52
Thanks for the contribution!

you’re welcome :)

Jovialis
01-05-21, 03:07
The first horse herders and the impact of early Bronze Age steppe expansions into Asia




https://science.sciencemag.org/content/360/6396/eaar7711

Here are new coordinates I produced for Dodecad Globe 13:


BOT14,9.46,13.98,2.11,0,0,0,0,0,12.42,6.2,48.49,7. 32,0
BOT15,6.43,17.16,1.64,0.07,0,0,0,0,10.09,5.73,51.5 4,7.34,0
BOT2016,0,16.21,5.05,0,0,0,0,0.08,9.69,8.1,42.93,1 7.95,0
DA245,62.25,1.22,0,0,0,28.28,1.16,0,5.07,0.83,1.18 ,0,0
DA246,58.17,2.79,1.58,0.34,0.03,25.14,0.28,0,8.54, 0,2.37,0.77,0
DA247,55.81,3.9,1.82,0.3,0,22.42,0.15,0.51,9.78,1. 73,0.79,2.51,0.28
DA248,59.3,2.77,0.87,0,0,24.11,0.31,0.23,8.44,0,1. 16,2.36,0.45
DA249,55.89,3.25,1.6,0.17,0.31,25.57,1.44,0.11,10, 0.14,1.12,0.3,0.11
DA250,53.74,2.09,1.89,0,0.49,24.47,0,0.59,11.75,2. 3,2.63,0,0.04
DA251,58.68,3.01,1.26,0,0.25,24.72,0,0.38,9.78,0.1 3,1.04,0.75,0
DA252,52.69,6.46,1.26,0,0,19.14,0,0.84,10.97,0.99, 3.78,3.29,0.58
DA253,53.16,3.98,1.39,0.29,0,23.08,0,0,11.67,0.69, 4.07,1.66,0
DA334,55.95,7.3,1.1,0,0,13.29,0,1.2,10.85,1.42,8.4 9,0.18,0.22
DA335,56.78,5.7,1.9,0,0,15.44,0,0,9.13,1.37,7.93,1 .75,0
DA336,57.31,7.35,0.84,0,0,12.1,0,0.66,9.63,0,7.91, 4.21,0
DA337,53.77,7.63,1.31,0,0,16.85,0,1.39,10.4,2.12,6 .35,0.18,0
DA338,55.3,8.04,2.09,0,0,14.26,0,1.47,8.98,0,8.83, 1.04,0
DA339,56.9,8.42,1.15,0,0,13.37,0,0.93,10.54,1.1,7. 11,0.48,0
DA340,56.5,3.73,1.43,0.23,0.98,22.68,0,0.71,10.63, 0,2.72,0,0.4
DA341,53.82,2.83,1.67,0,0,26.49,0.42,0.31,11.19,0, 3.28,0,0
DA342,48.87,11.18,2.34,0.61,0,12.07,0,0.47,10.67,1 .1,9.94,2.77,0
DA344,50.39,5.96,0.43,0.52,0,12.22,0,0,14.16,4.47, 7.58,4.27,0
DA345,44.24,8.98,1.41,0,0,14.96,0,0.74,13.62,1.72, 11.23,3.1,0
DA354,57.9,4.51,0,0,0,13.38,0,0.56,8.01,2.07,7.22, 4.55,1.79
DA355,46.56,8.33,1.81,1.42,0,11.86,0,0,12.59,2.14, 10.95,3.46,0.87
DA357,54.38,2.31,1.38,0.32,0.3,27.12,0,1.15,11.35, 1.7,0,0,0
DA358,51.63,7.28,0.99,0.2,0,14.02,0,2.16,11.28,0.9 5,9.72,1.77,0
DA359,53.92,3.29,1.24,0.48,0,24.61,0,0,11.59,1.36, 2.88,0.63,0
DA360,52.02,6.5,1.2,0,0,13.54,0,0,13.39,0,9.9,2.74 ,0.7
DA362,56.78,2.98,0.84,0.28,0,24.89,0,0,9.61,0.41,3 .26,0.96,0
DA379,0,0.37,4.89,0,8.02,0,0,0,2.81,65.68,1.58,16. 64,0
DA380,0,0.34,0,2.82,0,0,0.27,1.78,0,71,4.97,18.82, 0
DA381,0,1.11,3.2,0,8.78,0,3.83,0.06,0,69.57,0,13.4 5,0
DA382,0.03,2.39,3.16,0,3.55,0,10.96,0,1.18,38.51,3 1.91,7.98,0.34
DA383,0,1.54,4.32,0,7.54,0,1.4,0,0.32,60.49,10.24, 14.15,0
MA2195,28.19,1.94,1.98,0,4.52,14.06,7.37,0,2.9,20. 5,17.2,1.33,0
MA2196,10.15,0.19,2.94,0,8.48,8.83,22.26,0.37,4.65 ,28.94,10.31,2.88,0
MA2197,0,2.92,2.26,0.01,6.8,0,47.76,0.28,0,12.62,2 7.34,0,0
MA2198,8.42,0.04,2.93,0.28,14.34,2.29,20.5,1.06,2. 63,30.19,17.33,0,0
MA2200,0,0,2.56,0.05,21.2,0,40.08,0.26,0.38,32.9,2 .08,0,0.48
MA2203,0.42,0.12,3.95,0,22.28,0.04,38.93,0,0.35,27 .27,6.65,0,0
MA2205,0,0,1.33,0,22.16,1.23,37.51,0,0,37.32,0,0,0 .45
MA2206,0.75,0.53,1.92,0.28,19.73,0.28,39.55,0,0.06 ,33.96,2.94,0,0
MA2208,0,0,0,0,19.48,0.07,37.43,0,0,37.35,3.56,0,2 .11
MA2210,0.19,0,1.71,0.41,20.75,0.87,36.7,1.08,0,36. 24,1.67,0,0.38
MA2212,0,0.29,2.44,0.01,22.16,1.67,40.78,0,0.3,32. 18,0,0.04,0.14
MA2213,0,0,3.39,0,21.81,0.79,35.82,0,0,33.25,4.94, 0,0
RISE662,19.35,12.33,0.71,0,0,2.65,0,0,10.96,13.79, 33.41,6.14,0.66
RISE664,22.05,11.44,2.32,0,0,4.65,0,0,10.25,9.86,3 4.23,5.19,0
RISE667,22.68,14.26,1.94,0,0,2.15,0,0,11.4,9.03,29 .06,9.48,0
RISE670,21.07,13.01,1.65,0,0,4.51,0,0.35,12.54,10. 42,31.66,4.8,0
RISE671,22.79,13.99,0.83,0.38,0,3.04,0,0.65,10,9.9 9,31.78,6.55,0
RISE672,22.04,12.42,0.96,0,0,2.86,0,0.33,10.85,9.4 8,36.52,4.53,0
RISE673,23.97,11.51,1.98,0,0,0.7,0,0.99,10.36,6.39 ,39.6,4.5,0
RISE674,25.34,10.17,1.86,0,0,2.86,0,2.09,8.34,10.4 1,31.92,7.02,0
RISE675,20.61,10.96,0.9,0,0,3.09,0,0,10.18,12.1,34 .22,7.49,0.45
RISE677,28.42,14.78,0.92,0.6,0,2.83,0,2.46,11.39,8 .06,26.26,4.28,0
RISE680,22.59,9.82,1.25,0.09,0,5.16,0,0.47,12.1,11 .53,32.67,4.32,0
RISE681,17.76,10.43,1.41,0,0,1.19,0,1.42,8.52,15.5 8,39.21,4.49,0
RISE683,21.43,12.45,0.87,0,0,8.99,0,0.21,12.41,6.0 3,37.61,0,0
RISE684,24.49,13.11,1.52,0,0,3.14,0,0.37,10.59,7.1 7,32.91,6.69,0
RISE685,22.55,11.88,0.97,0,0,0.99,0,1.33,10.06,12. 08,34.56,5.59,0
RISE718,23.32,12.36,2.2,0,0,4.04,0,0,13.91,9.49,27 .99,6.68,0
RISE719,21.19,13.02,0.98,0,0,2.65,0,0.74,12.63,9.5 ,32.71,6.58,0
Sidelkino,0.39,7.5,3.46,0,0,0,0,0,3.73,0,80.96,3.9 5,0

Jovialis
01-05-21, 03:09
The first horse herders and the impact of early Bronze Age steppe expansions into Asia



https://science.sciencemag.org/content/360/6396/eaar7711

Here are new coordinates I produced for Dodecad Globe 13:


BOT14,9.46,13.98,2.11,0,0,0,0,0,12.42,6.2,48.49,7. 32,0
BOT15,6.43,17.16,1.64,0.07,0,0,0,0,10.09,5.73,51.5 4,7.34,0
BOT2016,0,16.21,5.05,0,0,0,0,0.08,9.69,8.1,42.93,1 7.95,0
DA245,62.25,1.22,0,0,0,28.28,1.16,0,5.07,0.83,1.18 ,0,0
DA246,58.17,2.79,1.58,0.34,0.03,25.14,0.28,0,8.54, 0,2.37,0.77,0
DA247,55.81,3.9,1.82,0.3,0,22.42,0.15,0.51,9.78,1. 73,0.79,2.51,0.28
DA248,59.3,2.77,0.87,0,0,24.11,0.31,0.23,8.44,0,1. 16,2.36,0.45
DA249,55.89,3.25,1.6,0.17,0.31,25.57,1.44,0.11,10, 0.14,1.12,0.3,0.11
DA250,53.74,2.09,1.89,0,0.49,24.47,0,0.59,11.75,2. 3,2.63,0,0.04
DA251,58.68,3.01,1.26,0,0.25,24.72,0,0.38,9.78,0.1 3,1.04,0.75,0
DA252,52.69,6.46,1.26,0,0,19.14,0,0.84,10.97,0.99, 3.78,3.29,0.58
DA253,53.16,3.98,1.39,0.29,0,23.08,0,0,11.67,0.69, 4.07,1.66,0
DA334,55.95,7.3,1.1,0,0,13.29,0,1.2,10.85,1.42,8.4 9,0.18,0.22
DA335,56.78,5.7,1.9,0,0,15.44,0,0,9.13,1.37,7.93,1 .75,0
DA336,57.31,7.35,0.84,0,0,12.1,0,0.66,9.63,0,7.91, 4.21,0
DA337,53.77,7.63,1.31,0,0,16.85,0,1.39,10.4,2.12,6 .35,0.18,0
DA338,55.3,8.04,2.09,0,0,14.26,0,1.47,8.98,0,8.83, 1.04,0
DA339,56.9,8.42,1.15,0,0,13.37,0,0.93,10.54,1.1,7. 11,0.48,0
DA340,56.5,3.73,1.43,0.23,0.98,22.68,0,0.71,10.63, 0,2.72,0,0.4
DA341,53.82,2.83,1.67,0,0,26.49,0.42,0.31,11.19,0, 3.28,0,0
DA342,48.87,11.18,2.34,0.61,0,12.07,0,0.47,10.67,1 .1,9.94,2.77,0
DA344,50.39,5.96,0.43,0.52,0,12.22,0,0,14.16,4.47, 7.58,4.27,0
DA345,44.24,8.98,1.41,0,0,14.96,0,0.74,13.62,1.72, 11.23,3.1,0
DA354,57.9,4.51,0,0,0,13.38,0,0.56,8.01,2.07,7.22, 4.55,1.79
DA355,46.56,8.33,1.81,1.42,0,11.86,0,0,12.59,2.14, 10.95,3.46,0.87
DA357,54.38,2.31,1.38,0.32,0.3,27.12,0,1.15,11.35, 1.7,0,0,0
DA358,51.63,7.28,0.99,0.2,0,14.02,0,2.16,11.28,0.9 5,9.72,1.77,0
DA359,53.92,3.29,1.24,0.48,0,24.61,0,0,11.59,1.36, 2.88,0.63,0
DA360,52.02,6.5,1.2,0,0,13.54,0,0,13.39,0,9.9,2.74 ,0.7
DA362,56.78,2.98,0.84,0.28,0,24.89,0,0,9.61,0.41,3 .26,0.96,0
DA379,0,0.37,4.89,0,8.02,0,0,0,2.81,65.68,1.58,16. 64,0
DA380,0,0.34,0,2.82,0,0,0.27,1.78,0,71,4.97,18.82, 0
DA381,0,1.11,3.2,0,8.78,0,3.83,0.06,0,69.57,0,13.4 5,0
DA382,0.03,2.39,3.16,0,3.55,0,10.96,0,1.18,38.51,3 1.91,7.98,0.34
DA383,0,1.54,4.32,0,7.54,0,1.4,0,0.32,60.49,10.24, 14.15,0
MA2195,28.19,1.94,1.98,0,4.52,14.06,7.37,0,2.9,20. 5,17.2,1.33,0
MA2196,10.15,0.19,2.94,0,8.48,8.83,22.26,0.37,4.65 ,28.94,10.31,2.88,0
MA2197,0,2.92,2.26,0.01,6.8,0,47.76,0.28,0,12.62,2 7.34,0,0
MA2198,8.42,0.04,2.93,0.28,14.34,2.29,20.5,1.06,2. 63,30.19,17.33,0,0
MA2200,0,0,2.56,0.05,21.2,0,40.08,0.26,0.38,32.9,2 .08,0,0.48
MA2203,0.42,0.12,3.95,0,22.28,0.04,38.93,0,0.35,27 .27,6.65,0,0
MA2205,0,0,1.33,0,22.16,1.23,37.51,0,0,37.32,0,0,0 .45
MA2206,0.75,0.53,1.92,0.28,19.73,0.28,39.55,0,0.06 ,33.96,2.94,0,0
MA2208,0,0,0,0,19.48,0.07,37.43,0,0,37.35,3.56,0,2 .11
MA2210,0.19,0,1.71,0.41,20.75,0.87,36.7,1.08,0,36. 24,1.67,0,0.38
MA2212,0,0.29,2.44,0.01,22.16,1.67,40.78,0,0.3,32. 18,0,0.04,0.14
MA2213,0,0,3.39,0,21.81,0.79,35.82,0,0,33.25,4.94, 0,0
RISE662,19.35,12.33,0.71,0,0,2.65,0,0,10.96,13.79, 33.41,6.14,0.66
RISE664,22.05,11.44,2.32,0,0,4.65,0,0,10.25,9.86,3 4.23,5.19,0
RISE667,22.68,14.26,1.94,0,0,2.15,0,0,11.4,9.03,29 .06,9.48,0
RISE670,21.07,13.01,1.65,0,0,4.51,0,0.35,12.54,10. 42,31.66,4.8,0
RISE671,22.79,13.99,0.83,0.38,0,3.04,0,0.65,10,9.9 9,31.78,6.55,0
RISE672,22.04,12.42,0.96,0,0,2.86,0,0.33,10.85,9.4 8,36.52,4.53,0
RISE673,23.97,11.51,1.98,0,0,0.7,0,0.99,10.36,6.39 ,39.6,4.5,0
RISE674,25.34,10.17,1.86,0,0,2.86,0,2.09,8.34,10.4 1,31.92,7.02,0
RISE675,20.61,10.96,0.9,0,0,3.09,0,0,10.18,12.1,34 .22,7.49,0.45
RISE677,28.42,14.78,0.92,0.6,0,2.83,0,2.46,11.39,8 .06,26.26,4.28,0
RISE680,22.59,9.82,1.25,0.09,0,5.16,0,0.47,12.1,11 .53,32.67,4.32,0
RISE681,17.76,10.43,1.41,0,0,1.19,0,1.42,8.52,15.5 8,39.21,4.49,0
RISE683,21.43,12.45,0.87,0,0,8.99,0,0.21,12.41,6.0 3,37.61,0,0
RISE684,24.49,13.11,1.52,0,0,3.14,0,0.37,10.59,7.1 7,32.91,6.69,0
RISE685,22.55,11.88,0.97,0,0,0.99,0,1.33,10.06,12. 08,34.56,5.59,0
RISE718,23.32,12.36,2.2,0,0,4.04,0,0,13.91,9.49,27 .99,6.68,0
RISE719,21.19,13.02,0.98,0,0,2.65,0,0.74,12.63,9.5 ,32.71,6.58,0
Sidelkino,0.39,7.5,3.46,0,0,0,0,0,3.73,0,80.96,3.9 5,0



Distance to:
Jovialis


17.28155375
MA2197


18.15807534
MA2203


21.56070500
MA2213


21.92166736
MA2198


22.62860579
MA2206


23.34982869
MA2200


23.81150982
MA2208


25.09766523
MA2210


25.25446693
MA2212


26.06719778
MA2196


27.31142252
MA2205


35.75789563
DA382


45.74865790
MA2195


50.35710774
RISE681


50.63431840
RISE662


51.41556574
RISE675


52.02927637
RISE680


52.17864027
RISE685


52.20184192
RISE670


52.53057491
RISE664


52.76374513
RISE719


52.82559796
RISE671


52.92559211
RISE674


53.20689147
RISE718


53.29936116
RISE672

torzio
01-05-21, 03:56
mineee



Distance to:
TorzioK13


32.45385493
71.60% DA342 + 28.40% MA2203


32.69969415
72.40% DA342 + 27.60% MA2213


32.86012247
73.60% DA342 + 26.40% MA2212


32.98042041
73.80% DA342 + 26.20% MA2200


33.16138565
74.00% DA342 + 26.00% MA2210


33.17540579
74.60% DA342 + 25.40% MA2205


33.29706281
74.20% DA342 + 25.80% MA2206


33.70184489
72.40% DA355 + 27.60% MA2203


33.76345830
75.60% DA342 + 24.40% MA2208


33.79632922
66.40% DA338 + 33.60% MA2203


33.95801136
73.40% DA355 + 26.60% MA2213


34.06310642
74.40% DA355 + 25.60% MA2212


34.08156624
67.40% DA338 + 32.60% MA2213


34.10071743
69.20% DA342 + 30.80% MA2198


34.20087156
74.60% DA355 + 25.40% MA2200


34.34644683
65.20% DA339 + 34.80% MA2203


34.38293827
75.00% DA355 + 25.00% MA2210


34.38971831
75.40% DA355 + 24.60% MA2205


34.39803376
68.80% DA338 + 31.20% MA2212


34.46380721
72.20% DA345 + 27.80% MA2203


34.48857725
68.80% DA338 + 31.20% MA2200


34.49103540
75.20% DA355 + 24.80% MA2206


34.51564230
64.80% DA336 + 35.20% MA2203


34.55172997
68.00% DA358 + 32.00% MA2203


34.65121069
66.60% DA337 + 33.40% MA2203








Distance to:
TorzioK13


38.62303328
DA342


39.11697841
DA355


39.79097762
DA345


41.75954382
RISE677


42.16178009
DA358


42.42574690
MA2195


42.46371745
DA344


42.79666576
DA338


43.02254293
DA360


43.12472725
DA337


43.59815936
DA252


43.94093877
DA334


43.95677081
DA339


44.31958258
RISE718


44.39264579
DA336


44.56424912
DA335


44.72596897
RISE667


45.84364514
DA354


45.96456244
RISE674


46.13759422
DA253


46.33680395
RISE684


46.34054272
RISE671


46.54461623
DA247


46.85392193
RISE670


47.08188611
DA340

Jovialis
09-06-21, 19:23
I have updated the ancient calculator with 148 new samples from 13 additional studies studies.

Download (https://www.mediafire.com/file/izzd02lzxqbl71j/Ancient_%2526_Modern_Dodecad_Globe_13_%255BUpdate_ 6-9-21%255D.zip/file)

List of new studies the new samples are from:

Saupe et al. 2021
R Martiniano et al. 2017
Saag et al. 2017
G González-Fortes et al. 2017
R Martiniano et al. 2016
G González-Fortes et al. 2019
Clemente et al. 2021
ER Jones et al. 2017
Jeong et al. 2019
Schuenemann et al. 2017
P de Barros Damgaard et al. 2018
R Jones et al. 2015
A Seguin-Orlando et al. 2014

This brings the total to 53 studies, and 2589 aDNA samples.

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

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

Salento
03-08-21, 05:56
sz19 cl23 cl36 sz32 sz40 cl121



sz19_dod_globe13,0.00,0.44,0.90,0.39,13.70,0.00,45 .77,0.00,0.00,17.84,20.96,0.00,0.00
cl23_dod_globe13,0.84,0.72,2.10,0.00,9.74,0.00,37. 23,0.51,0.14,14.08,33.21,0.74,0.70
cl36_dod_globe13,0.00,1.41,1.26,0.36,11.22,0.87,39 .60,0.00,0.45,18.27,26.56,0.00,0.00
sz32_dod_globe13,0.00,0.27,1.03,0.21,11.44,0.00,40 .71,0.00,0.14,18.28,26.96,0.00,0.97
sz40_dod_globe13,0.00,0.75,2.52,0.00,16.27,0.00,39 .31,0.00,0.00,22.68,18.47,0.00,0.00
cl121_dod_globe13,0.00,0.00,2.84,0.00,12.65,1.60,3 9.64,0.19,0.00,20.85,22.11,0.00,0.12



https://i.imgur.com/8Cxu7lM.gif

Jovialis
03-08-21, 12:16
Great work, Salento!

Archetype0ne
03-08-21, 14:53
Fantastic job Jovialis. Well done Salento.

https://i.imgur.com/TF5jTPi.png

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



Never had such close and detailed results. Quite amazing.

Could you please help me identify the samples, tried googling with no luck.

Salento
03-08-21, 15:10
Great work, Salento!
Thanks Jovialis :)

… It took hours to convert those files, … some other samples can take days (with my steam powered PC).

Jovialis
03-08-21, 15:39
sz19 cl23 cl36 sz32 sz40 cl121



sz19_dod_globe13,0.00,0.44,0.90,0.39,13.70,0.00,45 .77,0.00,0.00,17.84,20.96,0.00,0.00
cl23_dod_globe13,0.84,0.72,2.10,0.00,9.74,0.00,37. 23,0.51,0.14,14.08,33.21,0.74,0.70
cl36_dod_globe13,0.00,1.41,1.26,0.36,11.22,0.87,39 .60,0.00,0.45,18.27,26.56,0.00,0.00
sz32_dod_globe13,0.00,0.27,1.03,0.21,11.44,0.00,40 .71,0.00,0.14,18.28,26.96,0.00,0.97
sz40_dod_globe13,0.00,0.75,2.52,0.00,16.27,0.00,39 .31,0.00,0.00,22.68,18.47,0.00,0.00
cl121_dod_globe13,0.00,0.00,2.84,0.00,12.65,1.60,3 9.64,0.19,0.00,20.85,22.11,0.00,0.12



https://i.imgur.com/8Cxu7lM.gif



Distance to:
Jovialis


4.71830478
cl121_dod_globe13


4.90132635
sz40_dod_globe13


7.81081302
cl36_dod_globe13


8.06930604
sz32_dod_globe13


9.34415325
sz19_dod_globe13


15.46133565
cl23_dod_globe13

Jovialis
03-08-21, 15:50
https://i.imgur.com/mJFTUit.png

Salento
03-08-21, 16:02
S … (6) CL SZ distance

https://i.imgur.com/eB70Shp.jpg

Stuvanè
03-08-21, 16:09
:)



Distance to:
Dodecad_Glob_13Stuvanè


4.87746861
cl23_dod_globe13


6.41394574
sz32_dod_globe13


6.64450149
cl36_dod_globe13


11.46217257
cl121_dod_globe13


13.43298924
sz19_dod_globe13


15.52068942
sz40_dod_globe13

Duarte
03-08-21, 17:30
Thanks Jovialis and Salento



Distance to:
Duarte


5.65621782
Olalde_et_al_2019:I12514


6.13415031
Olalde_et_al_2019:I10895


6.24398110
Olalde_et_al_2019:I10866


6.26891538
Olalde_et_al_2019:I10853


6.39570168
Olalde_et_al_2019:I10892


6.55540235
Olalde_et_al_2019:I1313


6.74273683
Antonio_M_et_al_2019:R110


6.89459208
Olalde_et_al_2019:I12516


6.91129510
Antonio_M_et_al_2019:R109


6.92582125
Olalde_et_al_2019:I10852


6.93939479
Olalde_et_al_2019:I3584


6.94108061
Olalde_et_al_2019:I6490


7.29715013
C_Valdiosera_et_al._2018_por003


7.43433924
Saupe_et_al._2021:utigBRC002


7.49508506
Olalde_et_al_2019:I3585


7.51214350
Saupe_et_al._2021:utigGCP003A1


7.51417993
Saupe_et_al._2021:utigGCP002A1


7.59223946
S_Brunel_et_al._2020:ERS88


7.61400683
Antonio_M_et_al_2019:R1289


7.67329786
Antonio_M_et_al_2019:R474


7.71966321
Antonio_M_et_al_2019:R63


7.71978627
Olalde_et_al._2018:I4890


7.78762480
Olalde_et_al_2019:I7673


7.79531911
Olalde_et_al._2018:I5524


7.85466740
Olalde_et_al_2019:I7675


7.96866363
Antonio_M_et_al_2019:R61


7.99977500
Antonio_M_et_al_2019:R473


8.00427386
Olalde_et_al_2019:I12649


8.08500464
Olalde_et_al._2018:I7043


8.12419227
Olalde_et_al_2019:I12515


8.13916458
Olalde_et_al_2019:I3574


8.19093401
Mathieson_et_al_2018:I4332


8.21292274
Olalde_et_al_2019:I7498


8.22487690
Olalde_et_al._2018:E09538


8.44349454
Furtwängler_et_al_2020:SX18


8.57638036
Mathieson_et_al_2018:I4331


8.62099182
Antonio_M_et_al_2019:R105


8.81215638
Olalde_et_al_2019:I3982


8.84378313
Antonio_M_et_al_2019:R435


8.97885850
Olalde_et_al._2018:I7040


9.00066664
Olalde_et_al_2019:I7692


9.12229686
Mathieson_et_al_2018:Bul10


9.25861761
Olalde_et_al._2018:I2364


9.26784225
Olalde_et_al._2018:I7041


9.26906684
Olalde_et_al._2018:I2478


9.26906684
Olalde_et_al_2018:I2478


9.29907522
Olalde_et_al._2018:I3594


9.29951612
S_Brunel_et_al._2020:NOR2B6


9.32172731
Mathieson_et_al_2018:I2520


9.39716979
Antonio_M_et_al_2019:R33


9.43533783
Olalde_et_al_2019:I3981


9.44830143
Antonio_M_et_al_2019:R1021


9.48451369
Olalde_et_al_2019:I7457


9.48753920
Mathieson_et_al_2018:I3313


9.51954306
Mathieson_et_al_2018:Bul8


9.53737909
Olalde_et_al._2018:I6581


9.67708634
Olalde_et_al_2019:I10897


9.69157366
Antonio_M_et_al_2019:R851


9.76192604
Olalde_et_al_2019:I8213


9.76610465
Olalde_et_al_2019:I3809


9.79486600
Antonio_M_et_al_2019:R1015


10.00395422
cl23_dod_globe13

torzio
03-08-21, 18:51
Target: VettorK13
Distance: 22.3634% / 22.36338746 | ADC: 0.25x RC





47.5
DA342






32.0
I3810






13.5
utigBRC012







6.4
I1690







0.6
TU44

Duarte
04-08-21, 02:13
My results with Data posts #45 (by Jovialis) + #46 (by Salento) + data of Broicon 003 - BRC003 produced by Satento in post below:


https://www.ebi.ac.uk/ena/browser/view/PRJEB37660
... just a test, ... 1 by 4 locations:

I'm not sure my apps are fully compatible with these .bam(s), … that's all the samples I'm gonna post :) dod k12


BRC003_Dodecad_K12b,1.48,0.00,2.35,1.33,46.70,24.2 7,0.00,0.00,5.74,0.00,17.40,0.74
GCP002A1_Dodecad_K12b,2.18,0.00,3.15,3.26,44.50,29 .77,0.00,0.00,5.27,0.00,11.87,0.00
GLR001A1_Dodecad_K12b,0.00,1.77,4.40,0.00,58.27,5. 15,0.00,0.00,11.05,0.22,17.72,1.41
LSC002_004_Dodecad_K12b,0.00,0.00,0.00,0.00,62.94, 2.45,0.00,0.00,6.28,0.00,26.23,2.11

dod k13


BRC003_Dod_Globe13,0.00,0.00,1.53,0.00,7.15,2.00,4 6.64,0.00,0.00,6.54,36.15,0.00,0.00
GCP002A1_Dod_Globe13,0.00,0.06,0.56,0.00,7.87,2.46 ,41.92,0.00,0.36,7.63,39.13,0.00,0.00
GLR001A1_Dod_Globe13,0.00,0.00,2.04,0.00,13.48,0.0 0,59.66,0.13,0.96,4.05,19.69,0.00,0.00
LSC002_004_Dod_Globe13,0.00,0.00,1.53,0.15,14.88,0 .00,62.80,0.28,0.00,2.48,17.88,0.00,0.00


Saupe_et_al._2021:utigBRC003,0.00,0.00,1.53,0.00,7 .15,2.00,46.64,0.00,0.00,6.54,36.15,0.00,0.00

Distance to:
Duarte


5.65621782
Olalde_et_al_2019:I12514


6.13415031
Olalde_et_al_2019:I10895


6.24398110
Olalde_et_al_2019:I10866


6.26891538
Olalde_et_al_2019:I10853


6.39570168
Olalde_et_al_2019:I10892


6.55540235
Olalde_et_al_2019:I1313


6.74273683
Antonio_M_et_al_2019:R110


6.89459208
Olalde_et_al_2019:I12516


6.91129510
Antonio_M_et_al_2019:R109


6.92270901
Saupe_et_al._2021:utigBRC003


6.92582125
Olalde_et_al_2019:I10852


6.93939479
Olalde_et_al_2019:I3584


6.94108061
Olalde_et_al_2019:I6490


7.29715013
C_Valdiosera_et_al._2018_por003


7.43433924
Saupe_et_al._2021:utigBRC002


7.49508506
Olalde_et_al_2019:I3585


7.51214350
Saupe_et_al._2021:utigGCP003A1


7.51417993
Saupe_et_al._2021:utigGCP002A1


7.59223946
S_Brunel_et_al._2020:ERS88


7.61400683
Antonio_M_et_al_2019:R1289


7.67329786
Antonio_M_et_al_2019:R474


7.71966321
Antonio_M_et_al_2019:R63


7.71978627
Olalde_et_al._2018:I4890


7.78762480
Olalde_et_al_2019:I7673


7.79531911
Olalde_et_al._2018:I5524


7.85466740
Olalde_et_al_2019:I7675


7.96866363
Antonio_M_et_al_2019:R61


7.99977500
Antonio_M_et_al_2019:R473


8.00427386
Olalde_et_al_2019:I12649


8.08500464
Olalde_et_al._2018:I7043


8.12419227
Olalde_et_al_2019:I12515


8.13916458
Olalde_et_al_2019:I3574


8.19093401
Mathieson_et_al_2018:I4332


8.21292274
Olalde_et_al_2019:I7498


8.22487690
Olalde_et_al._2018:E09538


8.44349454
Furtwängler_et_al_2020:SX18


8.57638036
Mathieson_et_al_2018:I4331


8.62099182
Antonio_M_et_al_2019:R105


8.81215638
Olalde_et_al_2019:I3982


8.84378313
Antonio_M_et_al_2019:R435


8.97885850
Olalde_et_al._2018:I7040


9.00066664
Olalde_et_al_2019:I7692


9.12229686
Mathieson_et_al_2018:Bul10


9.25861761
Olalde_et_al._2018:I2364


9.26784225
Olalde_et_al._2018:I7041


9.26906684
Olalde_et_al._2018:I2478


9.26906684
Olalde_et_al_2018:I2478


9.29907522
Olalde_et_al._2018:I3594


9.29951612
S_Brunel_et_al._2020:NOR2B6


9.32172731
Mathieson_et_al_2018:I2520


9.39716979
Antonio_M_et_al_2019:R33


9.43533783
Olalde_et_al_2019:I3981


9.44830143
Antonio_M_et_al_2019:R1021


9.48451369
Olalde_et_al_2019:I7457


9.48753920
Mathieson_et_al_2018:I3313


9.51954306
Mathieson_et_al_2018:Bul8


9.53737909
Olalde_et_al._2018:I6581


9.67708634
Olalde_et_al_2019:I10897


9.69157366
Antonio_M_et_al_2019:R851


9.76192604
Olalde_et_al_2019:I8213


9.76610465
Olalde_et_al_2019:I3809


9.79486600
Antonio_M_et_al_2019:R1015


10.00395422
cl23_dod_globe13


10.20831034
Olalde_et_al_2019:I8203


10.22051369
S_Brunel_et_al._2020:NIED

Palermo Trapani
04-08-21, 02:55
Salento: Great job.



Distance to:
PalermoTrapani_Combined


3.44062494
sz40_dod_globe13


6.35768039
cl121_dod_globe13


9.19339437
sz19_dod_globe13


10.21450439
cl36_dod_globe13


10.35667900
sz32_dod_globe13


17.60977569
cl23_dod_globe13






That Dodecad Globe 13 is providing genetic distances that are pretty good for me as well. MTA Deep Dive gives me CL36 (91% closer than other MTA users) and SZ32 (60% closer than other MTA users).

Salento
04-08-21, 05:34
Thank you all :)

Salento
10-08-21, 23:27
... the 2 Avars (Szolad)



AV1_Dod_Globe13,0.50,0.45,0.88,0.46,4.82,0.00,24.2 4,0.00,0.58,8.62,58.90,0.55,0.00
AV2_Dod_Globe13,1.17,1.09,1.55,0.03,2.73,0.00,22.5 3,0.04,0.19,6.40,63.87,0.38,0.00

Salento
14-08-21, 00:35
... the 24 from Collegno:



CL23_Dod_Globe13,0.84,0.72,2.10,0.00,9.74,0.00,37. 23,0.51,0.14,14.08,33.21,0.74,0.70
CL25_Dod_Globe13,0.00,0.18,1.59,0.00,18.43,0.00,36 .99,0.88,0.00,28.05,12.49,1.26,0.13
CL30_Dod_Globe13,0.32,0.00,0.90,0.00,20.13,0.60,35 .65,0.36,0.00,29.45,12.13,0.00,0.46
CL31_Dod_Globe13,4.80,0.92,1.01,0.43,10.98,17.32,2 8.00,1.00,0.00,16.62,15.19,1.74,1.99
CL36_Dod_Globe13,0.00,1.41,1.26,0.36,11.22,0.87,39 .60,0.00,0.45,18.27,26.56,0.00,0.00
CL38_Dod_Globe13,0.00,0.98,2.85,0.00,17.38,0.45,36 .82,0.00,0.45,28.28,12.66,0.00,0.13
CL47_Dod_Globe13,0.05,0.00,1.25,0.00,8.97,0.84,34. 22,0.56,0.84,8.65,44.28,0.00,0.35
CL49_Dod_Globe13,0.38,0.20,1.44,0.00,8.67,0.65,38. 06,0.00,0.00,15.02,34.81,0.77,0.00
CL53_Dod_Globe13,0.00,0.00,0.18,0.22,6.56,0.07,32. 83,0.42,0.00,12.46,44.53,2.73,0.00
CL57_Dod_Globe13,0.00,0.85,1.07,0.62,8.13,0.00,33. 82,0.09,0.00,14.48,40.95,0.00,0.00
CL63_Dod_Globe13,0.00,0.41,1.80,0.10,4.95,0.12,33. 59,0.72,0.73,12.87,44.72,0.00,0.00
CL83_Dod_Globe13,0.00,0.00,0.52,0.38,3.35,1.09,30. 61,0.00,1.29,7.64,55.10,0.00,0.02
CL84_Dod_Globe13,0.84,0.00,0.68,0.46,1.57,0.00,32. 29,0.23,0.50,4.84,58.58,0.00,0.00
CL87_Dod_Globe13,0.41,0.14,1.84,0.00,4.11,0.00,34. 28,0.10,0.00,7.77,50.71,0.65,0.00
CL92_Dod_Globe13,2.16,0.00,1.71,0.04,0.00,0.63,31. 49,0.08,0.13,6.23,57.47,0.00,0.06
CL93_Dod_Globe13,1.29,0.00,1.30,0.00,1.00,0.00,30. 64,0.00,0.05,7.03,58.02,0.11,0.57
CL94_Dod_Globe13,0.22,0.13,1.06,0.00,7.14,1.71,40. 77,0.00,0.73,9.63,38.54,0.06,0.00
CL97_Dod_Globe13,0.00,2.33,0.00,0.52,0.07,1.40,31. 40,1.25,2.71,4.31,54.43,0.00,1.58
CL102_Dod_Globe13,0.69,0.00,0.65,0.00,8.50,0.00,35 .29,0.00,0.89,11.30,42.67,0.00,0.00
CL110_Dod_Globe13,1.64,0.00,5.36,1.45,10.85,0.05,3 3.37,0.00,0.00,36.80,6.80,0.00,3.69
CL121_Dod_Globe13,0.00,0.00,2.84,0.00,12.65,1.60,3 9.64,0.19,0.00,20.85,22.11,0.00,0.12
CL145_Dod_Globe13,0.16,0.16,1.15,0.31,0.00,0.00,29 .43,0.33,0.31,7.41,58.92,1.54,0.28
CL146_Dod_Globe13,0.09,0.36,1.62,0.06,1.93,0.00,28 .54,0.87,0.52,6.30,58.34,1.36,0.00
CL151_Dod_Globe13,0.00,0.00,0.92,0.33,0.20,0.00,27 .55,0.54,0.00,6.24,60.68,2.71,0.83

Palermo Trapani
14-08-21, 01:22
Salento: Thanks again for the work. Greatly appreciated. My Global 13 distances for the CL and SZ samples.



Distance to:
PalermoTrapani_Combined


3.44062494
sz40_dod_globe13


6.35768039
CL121_Dod_Globe13


9.19339437
sz19_dod_globe13


9.93629206
CL25_Dod_Globe13


10.20079899
CL38_Dod_Globe13


10.21450439
CL36_Dod_Globe13


10.35667900
sz32_dod_globe13


11.51013901
CL30_Dod_Globe13


17.60977569
CL23_Dod_Globe13


18.86742431
CL49_Dod_Globe13


22.39634792
CL110_Dod_Globe13


22.76317421
CL31_Dod_Globe13


24.87467387
CL57_Dod_Globe13


24.88367336
CL94_Dod_Globe13


27.07400968
CL102_Dod_Globe13


29.41253644
CL53_Dod_Globe13


29.53224678
CL47_Dod_Globe13


29.87221117
CL63_Dod_Globe13


36.89624913
CL87_Dod_Globe13


41.49109664
CL83_Dod_Globe13


43.38682634
CL97_Dod_Globe13


45.01241606
CL93_Dod_Globe13


45.10008758
CL92_Dod_Globe13


45.63725890
CL146_Dod_Globe13


45.77575341
CL84_Dod_Globe13


46.25771611
CL145_Dod_Globe13


48.49044545
CL151_Dod_Globe13

Duarte
14-08-21, 01:41
Nice Salento :good_job:



Distance to:
Duarte


7.34150530
CL94_Dod_Globe13


10.00395422
CL23_Dod_Globe13


10.43885051
CL49_Dod_Globe13


12.95411518
CL102_Dod_Globe13


13.74472626
CL47_Dod_Globe13


14.02766196
CL57_Dod_Globe13


15.43780425
CL36_Dod_Globe13


15.55189699
CL63_Dod_Globe13


16.21397545
CL53_Dod_Globe13


18.94659600
CL87_Dod_Globe13


19.91081616
CL121_Dod_Globe13


24.66613873
CL83_Dod_Globe13


24.77154820
CL97_Dod_Globe13


26.88457922
CL92_Dod_Globe13


27.35775758
CL84_Dod_Globe13


27.42331307
CL93_Dod_Globe13


28.45148678
CL146_Dod_Globe13


29.00756108
CL145_Dod_Globe13


31.36546827
CL151_Dod_Globe13


31.41889877
CL31_Dod_Globe13


32.79204172
CL38_Dod_Globe13


33.23619112
CL25_Dod_Globe13


35.20939079
CL30_Dod_Globe13


41.90689800
CL110_Dod_Globe13

Salento
14-08-21, 07:37
thanks Duarte and PT :)

ihype02
04-09-21, 21:05
..................

cocoahornharp
16-09-21, 10:35
This is a great forum, I really enjoy reading all the topics.