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]

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.

One divided by the study the samples are from.

One arranged by individual sample numbers.

**Jovialis** · 07-12-20, 22:24

Here are the samples arranged by their study in the 3D PCA.

**Salento** · 07-12-20, 23:25

Dod K13
individual sample arrangement

... Thanks Jovialis :)

**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

**Salento** · 15-12-20, 06:13

... from the website:

**Salento** · 15-12-20, 06:27

**Duarte** · 16-12-20, 03:18

Iberian samples grouped. Olalde et al’s PCA.

**Jovialis** · 16-12-20, 14:16

Originally Posted by Salento

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:

... 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/conte...Antonio_SM.pdf

**Salento** · 16-12-20, 17:45

... the two cousins on my results:

**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

**Duarte** · 25-12-20, 17:03

Originally Posted by Jovialis

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

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

Originally Posted by Jovialis

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

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

Originally Posted by Palermo Trapani

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

**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/
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/
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/Trace...tudy=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	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)

Code:

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

Code:

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

Originally Posted by lacreme

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)

Code:

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

Code:

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

Code:

Chris,0,0.41,0,0.8,14.55,0.82,35.86,0.15,0.05,26.67,19.87,0.82,0
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:R51,0,0,0.34,0,18.28,0.77,38.4,1.56,0,27.75,12.9,0,0
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:R54,0,0,0.15,0,17.43,0.82,35.01,0.39,0.76,23.63,20.64,0,1.16
aDNA:Antonio_M_et_al_2019:R1543,0,1.03,0.92,0.61,22.37,0.26,35.18,0,0,28.28,10.65,0.67,0.02
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:R57,0,0,0.85,0,15.66,0.66,37.55,0.74,0,24.18,20.22,0.14,0
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:R35,0,0,0.83,0,18.49,0,38.14,1.43,0,22.72,17.46,0.03,0.89
aDNA:Antonio_M_et_al_2019:R56,0,0,0.09,0,16.51,0,39.8,0,1.87,22.81,17.25,0,1.67

Thread: Dodecad Globe 13 Ancient & Modern

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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