Admixture Runs (SGDP Plus)

[ Raw: I ] [ With Maf / LD Pruning: II ] [ With Maf / LD Pruning / Geno: III: K 2 ] [ III: K 11 ] [ III: K 20 ] [ III: K 40 ] [ III: K 50 ] [ III: K 64 ] [ III: K Overclustering ] [ With SGDP Plus: IV: K 10, 20, 40, 50, 64 ] [ Interpretion Methods Results ]

 

I. Adding Samples to SGDP

SGDP = Mallick et al. 2016, "The Simons Genome Diversity Project. 300 genomes from 142 diverse populations", in: "Nature", 2016 Oct 13, Vol. 538, No. 7624, pp. 201-206, doi: 10.1038/nature18964, pubmed.ncbi.nlm.nih.gov.

AADR = Mallick et al. 2024, "The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes", in: "Sci Data", Vol. 11, No. 182, dataverse.harvard.edu.

345 samples (129 females, 179 males, 37 ambiguous; 345 founders) loaded from sgdp/cteam_extended.v4.maf0.1perc.psam. 34418131 variants loaded from sgdp/cteam_extended.v4.maf0.1perc.pvar.

 

Adding Erfurt_ME

"We used K-means to cluster the EAJ individuals based on their PC1 and PC2 coordinates into two groups. One group, which we call 'Erfurt-EU', falls closer to individuals from European populations, while the other, which we call 'Erfurt-ME', is closer to Middle Eastern populations" (Waldman et al. 2022, "Genome-wide data from medieval German Jews show that the Ashkenazi founder event pre-dated the 14th century", in: "Cell", Volume 185, Issue 25, 8 December 2022, Pages 4703-4716.e16).

Solo: Total genotyping rate is 0.377819. 1232738 variants and 13 people pass filters and QC.
Optimized: Total genotyping rate in remaining samples is 0.945108. 246057 variants and 5 people pass filters and QC (Germany_Erfurt_ME: I14736, I13864, I13865, I13867, I14903).

Data S2, Table 1: The characteristics of the Erfurt samples (only Erfurt-ME)

Sample Grave SNPs on auto-somes Sex Estimated age Subgroup Family Y chromosome - a Y term. (YFull) - b Nearest common AJ Y lineage mtDNA haplogroup mtDNA terminal (YFull) b 14C dates (95.4% prob.)
I13861 25 325256 F 25-35 Erfurt-ME No - K1a1b1a K1a1b1a
I13863 21 263504 F 18-25 Erfurt-ME No - K1a9 K1a9 -
I13864 36 674768 M 35-50 Erfurt-ME No J2a1a1a2b2 (xJ2a1a1a2b2a1) J-Y15223 J-Y15234 H3p H3p1 -
I13865 44 548027 M 18-25 Erfurt-ME No R1b1a1b1b R-Y19847 (xY143993) R-Y19869 L2a1l2a L2a1l2a -
I13867 45 777554 F 50+ Erfurt-ME No - K1a1b1a K1a1b1a -
I13870 5 363232 M 45-60 Erfurt-ME No J2a1a1a2b2a J-Y95077 J-L556 K1a1b1a K1a1b1a -
I14736 68 681500 F - Erfurt-ME No - K1a1b1a K1a1b1a -
I14737 57 383429 F 8-11 Erfurt-ME No - N1b1b1 N1b1b1 1296-1394 calCE
I14739 60 326400 F 40-60 Erfurt-ME No - H5c2 H5c2a1 -
I14741 * 123772 F 16-20 Erfurt-ME No - K1a1b1a K1a1b1a 1285-1389 calCE
I14851 20 435908 F 12-15 Erfurt-ME No - K1a1b1a K1a1b1a 1301-1397 calCE
I14852 41 250663 F 60+ Erfurt-ME No - H6a1a1a H6a1a1a1 -
I14903 47 598350 F 35-50 Erfurt-ME No - K1a1b1a K1a1b1a -

* 13/133-140 (Grave marked as possible stray find).

 

Adding German / Irish-Norman

ADN001.A bis ADN015.A = Lower Saxony, Hannover-Anderten, ENA-Project: PRJEB54899, aus: Gretzinger et al 2022: "The Anglo-Saxon migration and the formation of the early English gene pool", in: "Nature", Vol. 610, No. 112-119, 2022, doi.org/10.1038/s41586-022-05247-2.

Nach aadr_v54.1.p1_1240K_public.ind (The Allen Ancient DNA Resource AADR, Dataverse 8.0, March 6 2023): 11x Germany_Anderten_Saxon_Medieval.

KIL001.B_noUDG bis KIL047.B_noUDG = Ireland, Kliteasheen, ENA-Project: PRJEB54899.

Nach aadr_v54.1.p1_1240K_public.ind (The Allen Ancient DNA Resource AADR, Dataverse 8.0, March 6 2023): 38x Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman.

Solo: Total genotyping rate is 0.523189. 1233013 variants and 49 people pass filters and QC.
Optimized: Total genotyping rate in remaining samples is 0.964829. 719929 variants and 15 people pass filters and QC (Germany_Anderten_Saxon_Medieval ADN00x_noUDG, x = 5-8, 10, 14, 15; Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman KIL00x.B_noUDG, x = 6, 16, 22, 23, 25, 27, 33, 37).

 

Adding Tàrrega

"In the Roquetes necropolis of Tàrrega, six communal graves containing at least sixty-nine individuals, with signs of violence, were dated to the mid-14th century. Based on the hypothesis that Iberian medieval Jewish communities preserve genetic similarities to other ancient and modern Jewish communities, our study aims to provide genomic information on medieval Iberian communities, which to date have been unknown" (Pallarés-Viña et al. 2026, "Uncovering a Medieval Pogrom: Genetic History of a Jewish Community in Catalonia (Spain)", in: "Genes" 2026, Vol. 17, No. 3, p. 358).

Table "S1. Samples" combined with tarrega_missing.imiss

FIDIIDMISS_PHENON_MISSN_GENOF_MISSGendermtDNAyDNA (ISOGG 2020)yDNA (YFull)
TarregaERR16914973.aligned.bam [ROQ1]Y15519325165354180.9386MaleL2a1c+16129J2a2a1~*J-Y31564
TarregaERR16914974.aligned.bam [ROQ1c]Y15065572165354180.9111
TarregaERR16914975.aligned.bam [ROQ2]Y 8469383165354180.5122MaleU4a2E1b1b1a1a1c1b1a1a~
TarregaERR16914976.aligned.bam [ROQ2c]Y10594973165354180.6407
TarregaERR16914977.aligned.bam [ROQ3]Y11344662165354180.6861FemaleJ1c1f
TarregaERR16914978.aligned.bam [ROQ3c]Y12389737165354180.7493
TarregaERR16914979.aligned.bam [ROQ4]Y 7853240165354180.4749MaleM1a1b1cG1a1a1b2bG-PH1944 (G-FT19393)
TarregaERR16914980.aligned.bam [ROQ4c]Y 9696390165354180.5864
TarregaERR16914981.aligned.bam [ROQ5]Y14208766165354180.8593FemaleL2a1c+16129
TarregaERR16914982.aligned.bam [ROQ5c]Y14290032165354180.8642
TarregaERR16914983.aligned.bam [ROQ7]Y1483164216535418 0.897MaleR0a4E2a~*E-Y231455
TarregaERR16914984.aligned.bam [ROQ7c]Y14876656165354180.8997
TarregaERR16914985.aligned.bam [ROQ8]Y16522185165354180.9992
TarregaERR16914986.aligned.bam [ROQ10]Y16207089165354180.9801FemaleH1bo
TarregaERR16914987.aligned.bam [ROQ10c]Y16226660165354180.9813
TarregaERR16914988.aligned.bam [ROQ11]Y16233081165354180.9817FemaleH20a1a
TarregaERR16914989.aligned.bam [ROQ11c]Y15674017165354180.9479
TarregaERR16914990.aligned.bam [ROQ12]Y16251318165354180.9828FemaleK1a1b1a
TarregaERR16914991.aligned.bam [ROQ12c]Y16133144165354180.9757
TarregaERR16914992.aligned.bam [ROQ13]Y13684479165354180.8276FemaleH1bo
TarregaERR16914993.aligned.bam [ROQ13c]Y13758541165354180.8321
TarregaERR16914994.aligned.bam [ROQ15]Y12455366165354180.7533FemaleU5a2b

ROQ6, ROQ9, ROQ14, ROQ16: Too low concentration of short DNA. ROQ8: Excessively low damage.

Complete bash script for convertion *.bam to plink format: bam2plink.txt

Solo (*.bam samples aligned on human_g1k_v37.fasta each for each because of RAM memory): Total genotyping rate is 0.169039. 16565495 variants [merged after excluding variants from a whole set of 18278347 variants and genotyping rate 0.154447] and 22 people pass filters and QC.
Optimized: Total genotyping rate in remaining samples is 0.985913. 19450 variants and 13 people pass filters and QC (Tarrega ERR169149xx.aligned.bam, xx = 74-84, 92, 93).

Merge (Step 2 = Erfurt + GerIrish + Tarrega): Total genotyping rate is 0.48618. 740967 variants and 33 people pass filters and QC.
Merge (Step 3 = Panel + SGDP): Total genotyping rate is 0.910015. 34484338 variants and 378 people pass filters and QC.
Reduced to Sample: Total genotyping rate is 0.907781. 568070 variants and 378 people pass filters and QC.
Merged with Sample (unfiltered): Total genotyping rate is 0.804143. 641696 variants and 379 people pass filters and QC.
Filtered (geno 0.05, maf 0.05): Total genotyping rate is 0.804143. 490414 variants removed due to missing genotype data (--geno). 5432 variants removed due to minor allele threshold(s) (--maf/--max-maf/--mac/--max-mac). 145850 variants and 379 people pass filters and QC.
LD Pruning (indep-pairwise 50 10 0.2): Total genotyping rate is 0.958423. 145850 variants and 379 people pass filters and QC.
LD Pruning (extract ld_prune_job_sgdp.prune.in): Total genotyping rate is 0.958439. 79604 variants and 379 people pass filters and QC.

 

II. Admixture Runs

K = 10, Converged in 47 iterations (447.514 sec), Loglikelihood: -27997167.234599, CV error (K=10) 0.63041, "SampleName" = 0.000010 0.000010 0.000010 0.002209 0.031576 0.011837 0.090745 0.012821 0.579957 0.270825.

=== Cluster 3 === 0,2% (Papuan 0.999888, Australian 0.783603, Bougainville 0.657282, Onge 0.116514, Maori 0.102635, Hawaiian 0.067335, Kurumba 0.039246)

=== Cluster 4 === 3,2% (Mayan 0.999910, Mixe 0.999910, Karitiana 0.999909, Piapoco 0.999907, Surui 0.999907, Chane 0.999907, Nahua 0.978000)

=== Cluster 5 === 1,2% (Itelman 0.966744, Eskimo_Chaplin 0.793565, Eskimo_Sireniki 0.782077, Eskimo_Naukan 0.774779, Even 0.703891, Oroqen 0.645296, Ulchi 0.620271)

=== Cluster 6 === 9% (Germany_Anderten_Saxon_Medieval 0.456140, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.149478, Norwegian 0.100477, Estonian 0.098729, Czech 0.097718, Icelandic 0.095051, Finnish 0.092909)

=== Cluster 7 === 1,3% (Mala 0.966544, Madiga 0.936484, Irula 0.920670, Kurumba 0.876307, Yadava 0.851714, Kapu 0.841751, Relli 0.834099)

=== Cluster 8 === 58% LEV (BedouinB 0.824126, Yemenite_Jew 0.810671. Germany_Erfurt_ME 0.793180. Samaritan 0.790735, Druze 0.752111, Iraqi_Jew 0.744196, Sardinian 0.737829)

=== Cluster 9 === 27,08% EUR (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.720020, Germany_Anderten_Saxon_Medieval 0.370896, Norwegian 0.288229, Finnish 0.276213, Estonian 0.272948, [SampleName] 0.270825, Orcadian 0.269509).

 

K = 20, Converged in 53 iterations (1510.69 sec), Loglikelihood: -27217893.318683, CV error (K=20) 0.78748, "SampleName" = 0.000010 0.029955 0.000010 0.000010 0.000010 0.073801 0.000010 0.003511 0.032462 0.013983 0.687013 0.009860 0.000010 0.000010 0.000010 0.011538 0.029642 0.059616 0.039145 0.009394.

=== Cluster 1 === 2,99% (Germany_Erfurt_ME 0.399930, Tarrega 0.227409, Germany_Anderten_Saxon_Medieval 0.142839, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124986, [SampleName] 0.029955, Polish 0.028910, Icelandic 0.027459)

=== Cluster 5 === 7,38% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.374935, Germany_Erfurt_ME 0.199970, [SampleName] 0.073801, Polish 0.072857, Finnish 0.068185, Estonian 0.067040, Norwegian 0.066481)

=== Cluster 7 === 0,35% (Khomani_San 0.999810, Ju_hoan_North 0.999810, BantuTswana 0.259811, Bakola 0.142606, Biaka 0.138634, Sandawe 0.128957, Baka 0.125995)

=== Cluster 8 === 3,25% (Chane 0.999810, Surui 0.999810, Piapoco 0.999810, Mixe 0.999810, Mayan 0.999810, Karitiana 0.999810, Quechua 0.972558)

=== Cluster 9 === 1,4% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124983, Norwegian 0.017001, English 0.015627, Orcadian 0.014626, [SampleName] 0.013983, Bergamo 0.013630, Estonian 0.013424)

=== Cluster 10 === 68,7% MED-LEV (Sardinian 0.823984, Druze 0.820207, Samaritan 0.816016, Yemenite_Jew 0.812361, Iraqi_Jew 0.811190, BedouinB 0.810723, Greek 0.807495)

=== Cluster 11 === 0,98% (Eskimo_Chaplin 0.999810, Eskimo_Naukan 0.999810, Eskimo_Sireniki 0.999810, Itelman 0.541475, Chipewyan 0.512551, Aleut 0.484729, Tlingit 0.375621)

=== Cluster 15 === 1,15% (Germany_Erfurt_ME 0.399930, Tarrega 0.153825, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124985, Orcadian 0.016579, Basque 0.016442, Hungarian 0.016082, English 0.015057)

=== Cluster 16 === 2,96% (Tarrega 0.153825, Germany_Anderten_Saxon_Medieval 0.142839, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124984, Czech 0.032407, Estonian 0.032073, Norwegian 0.031143, Icelandic 0.031009)

=== Cluster 17 === 5,96% (Germany_Anderten_Saxon_Medieval 0.285667, Tarrega 0.153825, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124985, Norwegian 0.068025, Orcadian 0.066256, Icelandic 0.062772, English 0.060824)

=== Cluster 18 === 3,91% (Germany_Anderten_Saxon_Medieval 0.428496, Tarrega 0.153825, Norwegian 0.048394, Czech 0.046888, Finnish 0.046752, Estonian 0.046602, Icelandic 0.044415)

=== Cluster 19 === 0,94% (Australian 0.999810, Bougainville 0.380840, Onge 0.119053, Hawaiian 0.059551, Khonda_Dora 0.040735, Maori 0.031123, Kurumba 0.030090).

 

K = 40, Converged in 91 iterations (9848.02 sec), Loglikelihood: -25946761.600182, CV error (K=40) 0.95290, "SampleName" = 0.000010 0.001756 0.000010 0.000010 0.000010 0.002506 0.004408 0.000010 0.009850 0.000010 0.000010 0.004406 0.782371 0.003240 0.000010 0.000010 0.000953 0.006733 0.000760 0.000010 0.013079 0.000010 0.000010 0.000745 0.000010 0.007200 0.000010 0.000010 0.003533 0.009643 0.001531 0.011403 0.000010 0.000802 0.119385 0.000010 0.005349 0.002752 0.000010 0.007415.

=== Cluster 1 === 0,17% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124960, Icelandic 0.008356, Tajik 0.007870, Pathan 0.005765, Bergamo 0.005226, Orcadian 0.005092, Armenian 0.005054)

=== Cluster 5 === 0,25% (Germany_Anderten_Saxon_Medieval 0.142810, Tarrega 0.032745, Norwegian 0.008247, English 0.006248, Maori 0.005732, Czech 0.005385, Adygei 0.005327)

=== Cluster 6 === 0,44% (Germany_Anderten_Saxon_Medieval 0.142810, Polish 0.006858, Pathan 0.006570, North_Ossetian 0.006182, French 0.004958, Punjabi 0.004869, Brahmin 0.004530)

=== Cluster 8 === 0,99% (Germany_Erfurt_ME 0.199929, Tarrega 0.153795, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124958, [SampleName] 0.009850, Maori 0.008928, Estonian 0.006550, Albanian 0.005947)

=== Cluster 11 === 0,44% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124955, Norwegian 0.012869, Polish 0.007342, Samaritan 0.006969, Bulgarian 0.006538, Brahui 0.006392, Tuscan 0.006254)

=== Cluster 12 === 78,24% EUR (Norwegian 0.888071, Estonian 0.870605, Finnish 0.854055, Icelandic 0.830140, English 0.811191, Polish 0.811051, [SampleName] 0.782371)

=== Cluster 13 === 0,32% (Germany_Anderten_Saxon_Medieval 0.142808, Altaian 0.007570, Armenian 0.007531, Albanian 0.006529, Tajik 0.006173, Orcadian 0.005952, Burusho 0.004906)

=== Cluster 16 === 0,09% (Germany_Anderten_Saxon_Medieval 0.285610, Norwegian 0.008429, Czech 0.008334, Hazara 0.008157, Icelandic 0.007997, Lezgin 0.007395, Maori 0.006691)

=== Cluster 17 === 0,67% (Itelman 0.999610, Mansi 0.614820, Saami 0.141823, Chukchi 0.110597, Altaian 0.074115, Burusho 0.058572, Tubalar 0.055703)

=== Cluster 18 === 0,076% (Surui 0.999608, Chane 0.135540, Piapoco 0.124910, Quechua 0.059640, Mayan 0.058848, Zapotec 0.019590, Kashmiri_Pandit 0.011030)

=== Cluster 20 === 1,3% (Pima 0.999610, Mixe 0.999610, Nahua 0.982117, Zapotec 0.980030, Mayan 0.915951, Quechua 0.887005, Mixtec 0.850329)

=== Cluster 23 === 0,075% (Bougainville 0.999610, Australian 0.063766, Maori 0.058854, Hawaiian 0.054532, Thai 0.007825, Polish 0.007671, Daur 0.007418)

=== Cluster 25 === 0,72% (Germany_Erfurt_ME 0.199931, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124960, Bergamo 0.007826, English 0.007620, Spanish 0.007522, Orcadian 0.007200, [SampleName] 0.007200)

=== Cluster 28 === 0,35% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124960, Lezgin 0.009361, Orcadian 0.006625, Chukchi 0.006572, Czech 0.006494, Bulgarian 0.006463, Sindhi 0.005393)

=== Cluster 29 === 0,96% (Germany_Anderten_Saxon_Medieval 0.142810, [SampleName] 0.009643, Czech 0.009317, Estonian 0.007869, Chechen 0.007579, Polish 0.006318, Orcadian 0.005402)

=== Cluster 30 === 0,15% (Germany_Erfurt_ME 0.199930, Tarrega 0.153793, Germany_Anderten_Saxon_Medieval 0.142810, Bergamo 0.009242, Hungarian 0.007049, Icelandic 0.006779, Norwegian 0.006305)

=== Cluster 31 === 1,14% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124959,[SampleName] 0.011403, English 0.009980, Orcadian 0.006913, Turkish 0.006906, Spanish 0.006722, Norwegian 0.006594)

=== Cluster 33 === 0,08% (Ju_hoan_North 0.999610, Khomani_San 0.999610, BantuTswana 0.264479, Sandawe 0.122665, Aari 0.082276, Hadza 0.073705, BantuHerero 0.055959)

=== Cluster 34 === 11,93% LEV (BedouinB 0.999610, Yemenite_Jew 0.593187, Saharawi 0.541023, Samaritan 0.522589, Mozabite 0.469872, Agaw 0.405999, Jordanian 0.399785)

=== Cluster 36 === 0,53% (Tarrega 0.153793, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124960, Spanish 0.009146, Polish 0.008535, Hungarian 0.006606, Orcadian 0.006575, Samaritan 0.005867)

=== Cluster 37 === 0,28% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124960, Orcadian 0.009017, Hungarian 0.006907, Icelandic 0.006004, Basque 0.005982, English 0.005373, Czech 0.005288)

=== Cluster 39 === 0,74% (Onge 0.999610, Kurumba 0.022604, Khonda_Dora 0.021934, Burmese 0.019571, Kharia 0.012943, Thai 0.012523, Tibetan 0.011383).

 

K = 50, Converged in 132 iterations (22535.6 sec), Loglikelihood: -25525716.407090, CV error (K=50): 1.04642, "SampleName" = 0.000010 0.007413 0.000010 0.000010 0.000010 0.000010 0.762219 0.007338 0.000010 0.002528 0.001170 0.001156 0.000010 0.000010 0.000010 0.000623 0.000010 0.000010 0.007080 0.000010 0.149037 0.004604 0.005116 0.000010 0.002419 0.000010 0.004058 0.000010 0.000010 0.000010 0.002051 0.000156 0.000010 0.000010 0.000010 0.004901 0.000010 0.003184 0.015363 0.010936 0.000010 0.000010 0.000010 0.000010 0.000010 0.000010 0.008345 0.000010 0.000010 0.000010.

=== Cluster 1 === 0,74% (Germany_Erfurt_ME 0.199909, Tarrega 0.153779, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124947, Spanish 0.008042, Bergamo 0.007667, [SampleName] 0.007413, English 0.007383)

=== Cluster 6 === 76,22% EUR (Estonian 0.851293, Finnish 0.850071, Norwegian 0.837168, Icelandic 0.793209, Polish 0.779812, [SampleName] 0.762219, English 0.756949)

=== Cluster 7 === 0,73% (Tarrega 0.153779, Germany_Anderten_Saxon_Medieval 0.142796, Czech 0.008738, Chechen 0.008024, [SampleName] 0.007338, Estonian 0.006592, Relli 0.004909)

=== Cluster 9 === 0,25% (Tarrega 0.153779, Germany_Anderten_Saxon_Medieval 0.142796, Norwegian 0.008237, Icelandic 0.006331, Kashmiri_Pandit 0.005759, Greek 0.005639, Bergamo 0.005481)

=== Cluster 10 === 0,11% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124948, Icelandic 0.007579, Tajik 0.007071, Pathan 0.004866, Orcadian 0.004813, Bergamo 0.004739, Armenian 0.004425)

=== Cluster 11 === 0,11% (Germany_Anderten_Saxon_Medieval 0.428367, Albanian 0.011451, Czech 0.011408, Altaian 0.010769, Icelandic 0.009445, Lezgin 0.009176, Orcadian 0.008962)

=== Cluster 15 === 0,06% (Surui 0.999510, Chane 0.113123, Piapoco 0.110077, Mayan 0.052251, Quechua 0.047289, Zapotec 0.028479, Nahua 0.016869)

=== Cluster 18 === 0,7% (Onge 0.999507, Khonda_Dora 0.022566, Kurumba 0.022186, Burmese 0.020009, Kharia 0.014374, Thai 0.013188, [SampleName] 0.007080)

=== Cluster 20 === 14,9% LEV (BedouinB 0.999510, Yemenite_Jew 0.856202, Samaritan 0.629462, Jordanian 0.601641, Saharawi 0.466765, Sardinian 0.419188, Agaw 0.402471)

=== Cluster 21 === 0,46% (Germany_Anderten_Saxon_Medieval 0.142796, Polish 0.007160, Pathan 0.006169, North_Ossetian 0.005629, English 0.005431, French 0.005344, Punjabi 0.004836)

=== Cluster 22 === 0,51% (Germany_Erfurt_ME 0.199909, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124947, Norwegian 0.013576, Bulgarian 0.009040, Polish 0.006926, Tuscan 0.006860, Hungarian 0.005655)

=== Cluster 24 === 0,24% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124947, Orcadian 0.008758, Hungarian 0.006617, Basque 0.006614, Icelandic 0.005641, English 0.005124, Czech 0.004999)

=== Cluster 26 === 0,41% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124948, Spanish 0.008764, Polish 0.007846, Orcadian 0.005791, Hungarian 0.005782, Basque 0.005411, Samaritan 0.005399)

=== Cluster 30 === 0,21% (Germany_Anderten_Saxon_Medieval 0.142796, Norwegian 0.008159, English 0.006089, Albanian 0.005639, Czech 0.005201, Adygei 0.005137, Yadava 0.005109)

=== Cluster 31 === 0,01% (Fulani 0.590070, Germany_Erfurt_ME 0.199904, Saharawi 0.025728, Orcadian 0.009214, Bulala 0.008355, Sandawe 0.008214, Kikuyu 0.006115)

=== Cluster 35 === 0,49% (Elmolo 0.500650, Rendille 0.041734, Somali 0.037241, Agaw 0.032174, Sengwer 0.027969, Amhara 0.014075, Hadza 0.010556)

=== Cluster 37 === 0,32% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124947, Lezgin 0.008516, Chukchi 0.007070, Czech 0.006571, Orcadian 0.006462, Bulgarian 0.006340, Icelandic 0.005182)

=== Cluster 38 === 1,54% (Mixe 0.999510, Zapotec 0.320809, Nahua 0.303990, Mixtec 0.272178, Mayan 0.063475, Cree 0.058923, Chechen 0.019220)

=== Cluster 39 === 1,09% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124948, [SampleName] 0.010936, English 0.009310, Turkish 0.006758, Spanish 0.006302, Orcadian .006055, Norwegian 0.005841)

=== Cluster 46 === 0,83% (Germany_Erfurt_ME 0.199910, Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124948, Maori 0.009142, [SampleName] 0.008345, Albanian 0.007062, Estonian 0.006814, Burusho 0.006197).

 

K = 64, Converged in 179 iterations (50697.4 sec), Loglikelihood: -24851091.768465, CV error (K=64): 1.22898, "SampleName" = 0.000010 0.000306 0.000010 0.000010 0.000010 0.007088 0.000010 0.000010 0.000010 0.004854 0.000010 0.000010 0.012874 0.000010 0.000010 0.000010 0.000010 0.000010 0.000010 0.000010 0.000010 0.000010 0.010517 0.000010 0.000010 0.000010 0.005827 0.002069 0.000016 0.000010 0.003417 0.000010 0.000010 0.000010 0.024587 0.000010 0.000010 0.119364 0.001570 0.000010 0.012288 0.000010 0.000010 0.008146 0.000010 0.010458 0.000010 0.000010 0.743643 0.000010 0.000010 0.000010 0.005803 0.004114 0.002721 0.000010 0.004306 0.003284 0.000010 0.000010 0.000010 0.005614 0.006726 0.000010.

=== Cluster 1 === 0,03% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124929, Icelandic 0.007158, Pathan 0.005522, Tajik 0.004782, Bergamo 0.004183, Palestinian 0.003911 Orcadian 0.003870)

=== Cluster 5 === 0,71% (Estonian 0.516163, Germany_Erfurt_ME 0.199879, Tarrega 0.153758, Hungarian 0.023504, Russian 0.021143, Norwegian 0.020546, Tlingit 0.015977)

=== Cluster 9 === 0,49% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.249848, Orcadian 0.015564, Hungarian 0.012777, Basque 0.009702, Spanish 0.009685, Saharawi 0.009000, Polish 0.008842)

=== Cluster 12 === 1,29% (Palestinian 0.361428, Germany_Erfurt_ME 0.199881, Turkish 0.018576, Spanish 0.014927, [SampleName] 0.012874, Iraqi_Jew 0.012110, Basque 0.011590)

=== Cluster 22 === 1,05% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124929, [SampleName] 0.010517, English 0.008105, Turkish 0.006732, Spanish 0.006066, Norwegian 0.005566, Orcadian 0.005121)

=== Cluster 26 === 0,58% (Onge 0.999370, Cambodian 0.030068, Khonda_Dora 0.024831, Thai 0.019998, Burmese 0.018402, Kharia 0.012764, Icelandic 0.006316)

=== Cluster 27 === 0,21% (Germany_Anderten_Saxon_Medieval 0.142776, Norwegian 0.008006, Hungarian 0.005376, Kashmiri_Pandit 0.005365, Greek 0.005082, Uygur 0.005052, Bergamo 0.004906)

=== Cluster 28 === 0,002% (Germany_Anderten_Saxon_Medieval 0.285539, Norwegian 0.007489, Czech 0.007166, Hazara 0.007064, Turkish 0.006960, English 0.006056, Albanian 0.006053)

=== Cluster 30 === 0,34% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124930, Lezgin 0.008424, Czech 0.007226, Chukchi 0.006793, Orcadian 0.006714, Norwegian 0.005294, Basque 0.005247)

=== Cluster 34 === 2,46% (Samaritan 0.999370, Jordanian 0.346374, Albanian 0.058618, Druze 0.048420, Polish 0.045503, Agaw 0.037934, Saharawi 0.033353)

=== Cluster 37 === 11,94% LEV (Yemenite_Jew 0.999370, Jordanian 0.419198, Saharawi 0.337996, Iraqi_Jew 0.287554, Fulani 0.274453, Agaw 0.247224, Druze 0.230865)

=== Cluster 38 === 0,16% (Tarrega 0.153758, Germany_Anderten_Saxon_Medieval 0.142776, Norwegian 0.008696, English 0.005786, Albanian 0.005529, Maori 0.004694, Adygei 0.004640)

=== Cluster 40 === 1,23% (Pima 0.999370, Mixe 0.999370, Nahua 0.332112, Zapotec 0.300752, Mixtec 0.264608, Cree 0.160766, Mayan 0.107959)

=== Cluster 43 === 0,81% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124930, Maori 0.008401, [SampleName] 0.008146, Orcadian 0.004511, Albanian 0.004485, North_Ossetian 0.003921, Polish 0.003564)

=== Cluster 45 === 1,05% (Sardinian 0.379727, Germany_Erfurt_ME 0.199882, Tarrega 0.076884, Spanish 0.034139, Basque 0.025604, Tuscan 0.024312, Crete 0.023997)

=== Cluster 48 === 74,36% EUR (Finnish 0.843335, Norwegian 0.823663, Icelandic 0.816947, English 0.765020, Polish 0.764139, [SampleName] 0.743643, French 0.718935)

=== Cluster 52 === 0,58% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124930, English 0.007519, Norwegian 0.007092, Orcadian 0.006758, Bergamo 0.006583, Spanish 0.006001, [SampleName] 0.005803)

=== Cluster 53 === 0,41% (Germany_Erfurt_ME 0.199880, Germany_Anderten_Saxon_Medieval 0.142776, Altaian 0.008662, Albanian 0.008507, Icelandic 0.006284, Orcadian 0.005936, Armenian 0.005858)

=== Cluster 54 === 0,27% (Surui 0.999370, Chane 0.073082, Piapoco 0.057195, Kashmiri_Pandit 0.008845, Lezgin 0.008795, Aleut 0.007833, Mayan 0.007048)

=== Cluster 56 === 0,43% (Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman 0.124930, Norwegian 0.012674, Polish 0.006457, Tuscan 0.005789, Brahui 0.005119, Turkish 0.005109, Finnish 0.004953)

=== Cluster 57 === 0,32% (Germany_Anderten_Saxon_Medieval 0.142776, Polish 0.005613, North_Ossetian 0.005350, Chechen 0.004982, French 0.004525, Pathan 0.004327, Czech 0.004052)

=== Cluster 61 === 0,56% (Tajik 0.537687, Makrani 0.499690, Tarrega 0.153757, Brahui 0.076545, Balochi 0.049120, Kashmiri_Pandit 0.044341, Pathan 0.043040)

=== Cluster 62 === 0,67% (Tarrega 0.153758, Germany_Anderten_Saxon_Medieval 0.142776, Czech 0.008713, Chechen 0.007811, [SampleName] 0.006726, North_Ossetian 0.004348, Polish 0.004306).

[ Interpretion Methods Results ]

 

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