Just for fun. What are your two way closest samples?

[Mitchell-Atkins]

I've been playing with this tool https://output.jsbin.com/gojecoh using various G25 modern and ancient scaled individuals and averages.  It's kind of addicting seeing which combos provide the smallest distances

Modern scaled averages was
0.01483 Mitchell_scaled = 73% Ireland + 27% Germany
0.01498 Mitchell_scaled = 66% Scotland + 34% Denmark
0.01498 Mitchell_scaled = 55% Holland + 45% Ireland
0.01503 Mitchell_scaled = 66% Holland + 34% Iceland
0.01518 Mitchell_scaled = 61% Scotland + 39% Holland
0.01532 Mitchell_scaled = 74% Scotland + 26% Norway
0.01532 Mitchell_scaled = 52% Ireland + 48% Denmark
0.01567 Mitchell_scaled = 100% Scotland +
0.0157 Mitchell_scaled = 60% Holland + 40% Denmark
0.01572 Mitchell_scaled = 65% Holland + 35% Norway
0.01587 Mitchell_scaled = 70% Iceland + 30% Belgium
0.01589 Mitchell_scaled = 77% Ireland + 23% Sweden
0.01596 Mitchell_scaled = 58% Ireland + 42% Norway
0.01604 Mitchell_scaled = 59% Denmark + 41% England


Even though England makes up most of my ancestry, above it doesn't appear until 17th closest average along with Denmark.

However, both these countries appears 1st when using modern scaled individual samples,   In fact it the smallest 2 way distance so far.      

0.01100 51% English:England7 + 49% Danish:436
0.01117 56% Orcadian:HGDP00797 + 44% English:England11
0.01175 54% Irish:Irish55 + 46% Norwegian:GSM1550631
0.01193 60% Norwegian:GSM1550631 + 40% Dutch:GSM1633936
0.01199 54% Dutch:GSM1633996 + 46% Irish:Irish44
0.01226 51% Dutch:Netherlands7 + 49% Icelandic:NA15758
0.01247 51% Norwegian:NOR101 + 49% French_Nord:N_64
0.01253 56% English:England9 + 44% Icelandic:NA15762
0.01254 66% Danish:GSM1985711 + 34% French_Brittany:Rennes_B_6
0.01270 61% Scottish:Scottish24 + 39% Dutch:Netherlands56


Closest ancient scaled average.  The German Saxons are genetically very similar to the English Saxons
               
0.01323 Mitchell_scaled = 82% Germany_Schleswig_Saxon_LMedieval + 18% England_LIA_o
0.01336 Mitchell_scaled = 79% Germany_Schleswig_Saxon_LMedieval + 21% England_IA_ERoman.SG
0.01349 Mitchell_scaled = 88% Germany_Schleswig_Saxon_LMedieval + 12% Wales_MBA
0.01351 Mitchell_scaled = 92% Germany_Schleswig_Saxon_LMedieval + 8% England_Northumberland_EBA.SG
0.01359 Mitchell_scaled = 93% Germany_Schleswig_Saxon_LMedieval + 7% Russia_Petrovka
0.01368 Mitchell_scaled = 94% Germany_Schleswig_Saxon_LMedieval + 6% Russia_Andronovo.SG
0.01370 Mitchell_scaled = 85% Germany_Schleswig_Saxon_LMedieval + 15% England_MIA_lowEEF
0.01372 Mitchell_scaled = 84% Germany_Schleswig_Saxon_LMedieval + 16% England_Scorton_Anglian
0.01372 Mitchell_scaled = 85% Germany_Schleswig_Saxon_LMedieval + 15% Netherlands_Friesland_Saxon_Medieval
0.01373 Mitchell_scaled = 97% Germany_Schleswig_Saxon_LMedieval + 3% Latvia_LN_CordedWare
0.01375 Mitchell_scaled = 59% England_IA.SG + 41% England_IA_EarlyMedieval

Closest ancient scaled individuals.  Like the almost 50/50 split in moderns between Danes and English, there appears an almost even split between Danish Vikings and English Saxons.

0.01205 Mitchell_scaled = 75% England_EarlyMedieval_Saxon:I11585 + 25% France_Occitanie_IA2.SG: PT2.SG
0.01216 Mitchell_scaled = 58% Germany_Schleswig_Saxon_LMedieval:SWG001.A + 42% Iceland_Viking.SG:VK123_noUDG.SG
0.01231 Mitchell_scaled = 53% Denmark_Viking.SG:VK368_noUDG.SG + 47% England_Saxon:HAD017
0.01277 Mitchell_scaled = 58% Denmark_Viking.SG:VK368_noUDG.SG + 42% Hungary_Langobard.SG:SZ15.SG
0.01282 Mitchell_scaled = 55% England_EarlyMedieval_Saxon:I3044 + 45% England_EarlyMedieval:I14542
0.01285 Mitchell_scaled = 67% England_EarlyMedieval_Saxon:I0157 + 33% Germany_BellBeaker:I0113
0.01296 Mitchell_scaled = 52% Iceland_Viking.SG:VK123_noUDG.SG + 48% England_EarlyMedieval_Saxon:I3044
0.01309 Mitchell_scaled = 53% England_EarlyMedieval_Saxon:I3044 + 47% England_MIA:I20589
0.01311 Mitchell_scaled = 61% Iceland_Viking.SG:VK123_noUDG.SG + 39% England_EastYorkshire_MIA_LIA:I12414

The combo in green above comes from the same study.  I14542 has almost exclusively Western British and Irish (WBI) ancestry and no Continental Northern Europe (CNE) ancestry, basically indicating a pre-Anglo-Saxon immigration ancestry.  So a 55% CNE, 45% WBI split.

Using ancient individual samples.  Top one similar to the above mentioned CNE/WBI split
0.01311 Mitchell_scaled = 50% England_MIA:I13727 + 50% England_EarlyMedieval_Saxon:I0157
0.01311 Mitchell_scaled = 52% England_EarlyMedieval_Saxon:I0157 + 48% Hungary_Conqueror_Commoner:SH-106.SG
0.01312 Mitchell_scaled = 62% England_EarlyMedieval_Saxon:I11585 + 38% France_Sarrebourg_LateAntiquity.SG:R11552.SG
0.01314 Mitchell_scaled = 55% Sweden_Viking.SG:VK42_noUDG.SG + 45% England_EarlyMedieval_Saxon:I0157
0.01319 Mitchell_scaled = 59% Iceland_Viking.SG:VK123_noUDG.SG + 41% England_Saxon:HAD017
0.01322 Mitchell_scaled = 58% England_Saxon:HAD009 + 42% Czech_BellBeaker:I7249
0.01325 Mitchell_scaled = 64% Germany_Schleswig_Saxon_LMedieval:SWG001.A + 36% England_LIA:I14096

I joke alot about being gentically "North Sealandic", but maybe it's more like English Danelaw based on the above.



I'm curious what the rest of you get.

[Dewsloth]

0.014 Dewsloth_scaled = 53% Turkey_TellAtchana_MLBA + 47% England_LIA
0.014 Dewsloth_scaled = 62% Hungary_Langobard_o2 + 38% Italy_TarquiniaMonterozzi_IA_oLevent.SG
0.015 Dewsloth_scaled = 54% Turkey_TellAtchana_MLBA + 46% Netherlands_Groningen_Saxon_Medieval
0.015 Dewsloth_scaled = 52% Turkey_TellAtchana_MLBA + 48% Hungary_Langobard.SG
0.015 Dewsloth_scaled = 60% Hungary_Langobard_o2.SG + 40% Turkey_TellAtchana_MLBA
0.015 Dewsloth_scaled = 54% Turkey_LateC_o1 + 46% Scotland_EIA
0.015 Dewsloth_scaled = 59% Hungary_Langobard_o2.SG + 41% Italy_TarquiniaMonterozzi_IA_oLevent.SG
0.015 Dewsloth_scaled = 53% Turkey_TellAtchana_MLBA + 47% Germany_Schleswig_Saxon_LMedieval
0.015 Dewsloth_scaled = 55% Turkey_TellAtchana_MLBA + 45% Austria_Klosterneuburg_Roman.SG
0.015 Dewsloth_scaled = 52% Turkey_TellAtchana_MLBA + 48% Germany_Anderten_Saxon_Medieval
0.015 Dewsloth_scaled = 53% Turkey_LateC_o1 + 47% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman
0.015 Dewsloth_scaled = 56% Italy_Medieval_EarlyModern_oCentralEuropean.SG + 44% Italy_TarquiniaMonterozzi_IA_oLevent.SG
0.015 Dewsloth_scaled = 52% Turkey_Alalakh_MLBA + 48% Germany_Anderten_Saxon_Medieval
0.015 Dewsloth_scaled = 56% Turkey_TellAtchana_MLBA + 44% England_Saxon
0.015 Dewsloth_scaled = 54% Turkey_LateC_o1 + 46% England_MIA_lowEEF

[Cascio]

In the above map the area marked as the DANELAW stretches too far to the north.

County Durham, the Newcastle area and Northumberland, with south-east Scotland up to Edinburgh, remained in the hands of the Northumbrian Angles.

[Anglesqueville]

0.014 angle = 81% English_Cornwall:HG00239 + 19% Finnish_Southwest:HG00337
0.015 angle = 88% English_Cornwall:HG00239 + 12% Vepsian:KAR-087
0.015 angle = 67% English_Cornwall:HG00239 + 33% Swedish:Sweden19
0.015 angle = 58% BelgianA:5434289041_R03C01 + 42% Swedish:Sweden19
0.015 angle = 86% English_Cornwall:HG00239 + 14% Russian_Krasnoborsky:Rakr-237
0.015 angle = 87% English_Cornwall:HG00239 + 13% Karelian:Karelia12
0.015 angle = 72% English_Cornwall:HG00239 + 28% Swedish:Sweden22
0.015 angle = 87% English_Cornwall:HG00239 + 13% Vepsian:KAR-193
0.015 angle = 87% English_Cornwall:HG00239 + 13% Vepsian:vepsa61
0.015 angle = 55% Danish:GSM1985705 + 45% German_Erlangen:GSM1658606
0.015 angle = 82% English_Cornwall:HG00239 + 18% Finnish_Southwest:HG00310
0.015 angle = 86% English_Cornwall:HG00239 + 14% Finnish_North:HG00323

I haven't looked beyond the first 100 models, which are all in the same vein. I like it, even if the Finnish part is a little overrated. My own qpAdm models obtained with imputed data reduced to 1240K are very close to this.

[Beowulf]

0.012 Beowulf_Scaled = 77% Spanish_Mallorca + 23% Austrian
0.012 Beowulf_Scaled = 79% Spanish_Mallorca + 21% German

[AimSmall]

0.018 AimSmall_scaled = 50% Denmark_Zealand_Saxon_Medieval:KPN009.A_noUDG + 50% Scotland_Viking_o.SG:VK201_noUDG.SG
0.019 AimSmall_scaled = 55% England_EarlyMedieval:I14534 + 45% England_MIA:I13685
0.019 AimSmall_scaled = 51% England_EarlyMedieval:I16510 + 49% England_EarlyMedieval:I14534
0.019 AimSmall_scaled = 60% England_MIA:I13685 + 40% Sweden_Viking.SG:VK333_noUDG.SG
0.019 AimSmall_scaled = 51% England_EarlyMedieval:I14534 + 49% Scotland_Viking_o.SG:VK201_noUDG.SG
0.019 AimSmall_scaled = 55% Hungary_EarlyArpadian:MH-106.SG + 45% England_MIA:I13685
0.020 AimSmall_scaled = 51% England_EarlyMedieval:I16510 + 49% Hungary_EarlyArpadian:MH-106.SG
0.020 AimSmall_scaled = 67% Scotland_Viking.SG:VK207_noUDG.SG + 33% Germany_EarlyMedieval.SG:STR486_noUDG.SG
0.020 AimSmall_scaled = 53% Scotland_Viking_o.SG:VK201_noUDG.SG + 47% Germany_EarlyMedieval.SG:Alh10_noUDG.SG
0.020 AimSmall_scaled = 65% Scotland_Viking.SG:VK207_noUDG.SG + 35% France_GrandEst_IA2:I20815

Using the Averages

0.022 AimSmall_scaled = 90% Scotland_Viking.SG + 10% Greece_BA_Mycenaean_in.preparation
0.022 AimSmall_scaled = 80% Scotland_Viking.SG + 20% Slovenia_LBA_EIA
0.022 AimSmall_scaled = 85% Scotland_Viking.SG + 15% Hungary_EarlyMidAvar
0.022 AimSmall_scaled = 93% Scotland_Viking.SG + 7% Ukraine_Eneolithic_o2
0.022 AimSmall_scaled = 91% Scotland_Viking.SG + 9% Spain_Hellenistic_oAegean
0.022 AimSmall_scaled = 93% Scotland_Viking.SG + 7% Serbia_GradStarcevo_Starcevo_EN.SG
0.022 AimSmall_scaled = 93% Scotland_Viking.SG + 7% Greece_Peloponnese_N_noUDG
0.022 AimSmall_scaled = 85% Scotland_Viking.SG + 15% Serbia_SvilosKrussevlje_Roman.SG
0.023 AimSmall_scaled = 92% Scotland_Viking.SG + 8% Greece_Minoan_Kephala_Petras.SG
0.023 AimSmall_scaled = 87% Scotland_Viking.SG + 13% Italy_Broion_EBA.SG

[JMcB]

An interesting tool!

Using Ancient Averages:


0.012 JMcB = 90% England_EarlyMedieval + 10% Hungary_MN_ALPc_new
0.012 JMcB = 85% England_EarlyMedieval + 15% Czech_CordedWare_o3
0.012 JMcB = 91% England_EarlyMedieval + 9% Italy_South_C.SG
0.012 JMcB = 89% England_EarlyMedieval + 11% France_HautsDeFrance_MN.SG
0.013 JMcB = 89% England_EarlyMedieval + 11% France_EN_o
0.013 JMcB = 80% England_EarlyMedieval + 20% Italy_PianSultano_BA.SG
0.013 JMcB = 88% England_EarlyMedieval + 12% Czech_N_Rivnac
0.013 JMcB = 89% England_EarlyMedieval + 11% Poland_TRB.SG
0.013 JMcB = 89% England_EarlyMedieval + 11% Romania_N_o
0.013 JMcB = 74% England_Saxon + 26% Italy_PianSultano_BA.SG



and Modern Averages:


0.013 JMcB = 71% Danish + 29% French_Chalosse
0.013 JMcB = 72% Danish + 28% French_Bigorre
0.013 JMcB = 69% Danish + 31% Basque_Araba
0.013 JMcB = 73% Danish + 27% Basque_Spanish
0.013 JMcB = 75% Danish + 25% Basque_Soule
0.014 JMcB = 74% Danish + 26% Basque_Navarre_North
0.014 JMcB = 74% Danish + 26% Basque_Navarre_Center
0.014 JMcB = 69% Norwegian + 31% French_Chalosse
0.014 JMcB = 73% Danish + 27% Basque_Gipuzkoa_Southwest
0.014 JMcB = 73% Danish + 27% Basque_Biscay

[Ambiorix]

With modern individual samples:
0.013 Ambiorix_scaled = 55% Dutch:GSM1633979 + 45% Dutch:GSM1634034
0.014 Ambiorix_scaled = 58% BelgianB:5434289003_R01C01 + 42% Dutch:GSM1633979
0.015 Ambiorix_scaled = 63% Dutch:GSM1633979 + 37% French_Brittany:Rennes_B_44
0.015 Ambiorix_scaled = 79% BelgianB:5434289003_R01C01 + 21% Norwegian:GSM1550714
0.015 Ambiorix_scaled = 62% Dutch:GSM1633979 + 38% French_Brittany:Rennes_B_25
0.015 Ambiorix_scaled = 80% BelgianB:5434289003_R01C01 + 20% Dutch:GSM566791
0.015 Ambiorix_scaled = 82% Dutch:GSM1634034 + 18% Roma_Granada:MAL7
0.015 Ambiorix_scaled = 72% Dutch:GSM1633979 + 28% French_Occitanie:T_36
0.015 Ambiorix_scaled = 63% Dutch:GSM1633979 + 37% BelgianC:5434289075_R04C02
0.015 Ambiorix_scaled = 71% Dutch:GSM1634034 + 29% Spanish_Penedes:BOS015

Ancient Pop Averages:
0.016 Ambiorix_scaled = 54% Italy_Sicily_EBA_o2 + 46% England_Scorton_Anglian
0.016 Ambiorix_scaled = 50% Ireland_Viking.SG + 50% Italy_Sicily_EBA_o2
0.017 Ambiorix_scaled = 56% Italy_Sicily_EBA_o2 + 44% Netherlands_MBA_LBA
0.017 Ambiorix_scaled = 60% Italy_Sicily_EBA_o2 + 40% Slovenia_Emona_Roman_oEurope.SG
0.017 Ambiorix_scaled = 55% Italy_Sicily_EBA_o2 + 45% Greenland_EarlyNorse_o1.SG
0.018 Ambiorix_scaled = 64% Netherlands_MBA_LBA + 36% Italy_Ordona_Daunian.SG
0.018 Ambiorix_scaled = 51% Italy_Sicily_EBA_o2 + 49% France_BellBeaker
0.018 Ambiorix_scaled = 60% Czech_IA_LaTene_Hallstatt + 40% Wales_MBA
0.018 Ambiorix_scaled = 56% Scotland_C_EBA_mediumhighEEF + 44% Italy_Sicily_EBA_o2
0.018 Ambiorix_scaled = 51% Scotland_Orkney_MBA.SG + 49% Italy_Sicily_EBA_o2

[Stefano]

These are pretty good approximations of my real ancestry, a mix of more northern part of Lombardy and southern ones, really close to Emilia.
0.018 StefanoMerged_scaled = 56% Italian_Lombardy + 44% Italian_Emilia
0.018 StefanoMerged_scaled = 55% Italian_Emilia + 45% Italian_Bergamo

Interestingly
0.018 StefanoMerged_scaled = 99% Italian_Lombardy + 1% Surui
0.018 StefanoMerged_scaled = 99% Italian_Lombardy + 1% Yukpa
0.018 StefanoMerged_scaled = 99% Italian_Lombardy + 1% Karitiana
ANE shift?

This is surprisingly coherent and a good fit, using samples from a relatively short timeframe and geografic area, Cenomani Gauls from Verona (200BC) and the samples from Collegno with a southern/imperial roman profile, although a bit late (600AD)

0.018 StefanoMerged_scaled = 60% Cisalpine_Gaul + 40% Italy_North_EarlyMedieval_Langobards_3
0.018 StefanoMerged_scaled = 50% Cisalpine_Gaul + 50% Italy_Medieval_EarlyModern.SG

[AimSmall]

You *might* be Italian... lol

[Capsian20]

47.7 million models (19.6 s):
0.022 CapsianWGS_scaled = 54% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 46% Canary_Islands_Guanche:CAN.001__AD_1330__Cov_93.49%
0.023 CapsianWGS_scaled = 76% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 24% Italy_Sardinia_N_oAfrica:I15940__BC_2253__Cov_45.71%
0.023 CapsianWGS_scaled = 59% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 41% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02%
0.024 CapsianWGS_scaled = 90% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 10% Sudan_EarlyChristian_S:I17481__AD_875__Cov_14.23%
0.024 CapsianWGS_scaled = 67% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 33% Canary_Islands_Guanche:CAN.004__AD_1344__Cov_65.29%
0.024 CapsianWGS_scaled = 63% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 37% Canary_Islands_Guanche:CAN.045__AD_1534__Cov_48.78%

Code:

0.025 CapsianWGS_scaled = 63% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 37% Canary_Islands_Guanche:CAN.048__AD_1095__Cov_95.52%
0.025 CapsianWGS_scaled = 54% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 46% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02%
0.025 CapsianWGS_scaled = 58% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 42% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56%
0.025 CapsianWGS_scaled = 73% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 27% Canary_Islands_Guanche:CAN.030__AD_1342__Cov_51.01%
0.025 CapsianWGS_scaled = 75% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 25% Italy_Sardinia_N_oAfrica:I15940__BC_2253__Cov_45.71%
0.025 CapsianWGS_scaled = 87% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 13% MAR_MN:skh003__BC_4290__Cov_unknown
0.025 CapsianWGS_scaled = 91% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 9% Sudan_EarlyChristian_S:I6257__AD_823__Cov_24.43%
0.025 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Kenya_EarlyPastoralN:I12533__BC_2004__Cov_51.23%
0.025 CapsianWGS_scaled = 96% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 4% MAR_EN:oub002__BC_5615__Cov_unknown
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% CHN_Banda_1400BP:BandaKD15__AD_524__Cov_3.63%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_LukenyaHill_PastoralN:LUK001__BC_1549__Cov_42.15%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_S:I6256__AD_831__Cov_29.26%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% KEN_MoloCave_1500BP:MOL003__BC_75__Cov_4.90%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_R:I6330__AD_736__Cov_22.72%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Tanzania_PN:I13977__AD_26__Cov_23.73%
0.026 CapsianWGS_scaled = 91% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 9% Sudan_EarlyChristian_R:I6327__AD_960__Cov_31.73%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN:I8920__BC_286__Cov_65.43%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_R:I6141__AD_860__Cov_23.02%
0.026 CapsianWGS_scaled = 95% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 5% MAR_EN:iam004__BC_4861__Cov_unknown
0.026 CapsianWGS_scaled = 96% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 4% Morocco_Iberomaurusian:TAF013_noUDG__BC_12550__Cov_80.17%
0.026 CapsianWGS_scaled = 96% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 4% Morocco_Iberomaurusian:TAF011_noUDG__BC_12500__Cov_83.83%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_R:I6251__AD_835__Cov_25.52%
0.026 CapsianWGS_scaled = 96% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 4% Morocco_EN.SG:IAM.4_IAM.5_noUDG.WGC__BC_5113__Cov_44.16%
0.026 CapsianWGS_scaled = 81% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 19% CanaryIslands_Guanche.SG:gun002_noUDG.SG__AD_1099__Cov_13.08%
0.026 CapsianWGS_scaled = 96% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 4% Morocco_Iberomaurusian:TAF014_noUDG__BC_12550__Cov_77.96%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_S:I6336__AD_901__Cov_52.62%
0.026 CapsianWGS_scaled = 96% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 4% Morocco_Iberomaurusian:TAF010_noUDG__BC_12699__Cov_64.50%
0.026 CapsianWGS_scaled = 96% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 4% Korea_Changhang:GDI002__BC_4605__Cov_13.43%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Kenya_PastoralN_Elmenteitan_o:I8923__BC_502__Cov_12.35%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% Kenya_EarlyPastoralN:I12534__BC_1964__Cov_43.47%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% Sudan_EarlyChristian_S:I18511__AD_850__Cov_15.30%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Sudan_EarlyChristian_S:I18536__AD_850__Cov_10.31%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN:I8874__BC_1291__Cov_75.80%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_S:I18525__AD_875__Cov_27.01%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN:I8809__BC_1017__Cov_74.97%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Tanzania_Luxmanda_3000BP:I3726__BC_1073__Cov_68.99%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Kenya_PastoralN_Elmenteitan:I12398__BC_570__Cov_35.45%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% KOR_Yondaedo:TYD007__BC_5000__Cov_9.41%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Sudan_EarlyChristian_R:I6328__AD_919__Cov_15.18%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Sudan_EarlyChristian_R:I6252__AD_795__Cov_26.57%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% SDN_MA_Kulubnarti:I18509__AD_800__Cov_24.86%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_S:I18610__AD_850__Cov_21.44%
0.026 CapsianWGS_scaled = 79% Canary_Islands_Guanche:CAN.001__AD_1330__Cov_93.49% + 21% Canary_Islands_Guanche:CAN.035__AD_1210__Cov_15.60%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_S:I6332__AD_838__Cov_53.04%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN_Elmenteitan:I8922__BC_437__Cov_68.25%
0.026 CapsianWGS_scaled = 84% Canary_Islands_Guanche:CAN.030__AD_1342__Cov_51.01% + 16% Sudan_EarlyChristian_S:I17481__AD_875__Cov_14.23%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% Sudan_EarlyChristian:I21037__AD_850__Cov_13.73%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% SDN_MA_Kulubnarti:I17475__AD_825__Cov_19.86%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_WLR_LN:EDM139_noUDG__BC_1800__Cov_36.01%
0.026 CapsianWGS_scaled = 96% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 4% Kenya_MoloCave_PastoralN:MOL001__AD_586__Cov_73.98%
0.026 CapsianWGS_scaled = 78% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 22% CanaryIslands_Guanche.SG:gun011_noUDG.SG__AD_813__Cov_91.59%
0.026 CapsianWGS_scaled = 96% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 4% MAR_Taforalt:TAF012__BC_12505__Cov_20.16%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% Sudan_EarlyChristian_S:I6254__AD_951__Cov_24.17%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_S:I6255__AD_812__Cov_49.62%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_S:I18521__AD_850__Cov_30.88%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Tanzania_PN:I13978__BC_323__Cov_37.98%
0.026 CapsianWGS_scaled = 95% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 5% Mongolia_Arkhangai_LateMedieval:DEE001__AD_1410__Cov_76.60%
0.026 CapsianWGS_scaled = 96% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 4% Morocco_EN.SG:IAM.7_noUDG.WGC__BC_4921__Cov_7.73%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN:I8804__BC_543__Cov_36.27%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Morocco_Iberomaurusian:TAF013_noUDG__BC_12550__Cov_80.17%
0.026 CapsianWGS_scaled = 92% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 8% Sudan_EarlyChristian_R:I6340__AD_860__Cov_25.26%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% Sudan_EarlyChristian_S:I6325__AD_727__Cov_44.76%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Morocco_Iberomaurusian:TAF014_noUDG__BC_12550__Cov_77.96%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Tanzania_PN:I13980__BC_637__Cov_67.56%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN:I8758__BC_548__Cov_24.96%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% SDN_MA_Kulubnarti:I6138__AD_727__Cov_6.50%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% VNM_BA_Dong_Son_Culture:Vt779__BC_287__Cov_7.11%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_SEastAsia_Coastal_Historic:L5694_noUDG__AD_1612__Cov_24.10%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% Sudan_EarlyChristian_R:I19015__AD_850__Cov_15.40%
0.026 CapsianWGS_scaled = 79% CanaryIslands_Guanche.SG:gun012_noUDG.SG__AD_626__Cov_27.87% + 21% Canary_Islands_Guanche:CAN.002__AD_1385__Cov_29.84%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% CHN_Huatuyan_400BP:HuatuyanNL11__AD_1557__Cov_6.89%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN_Elmenteitan:I8805__AD_174__Cov_76.23%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_Miaozigou_MN:MZGM10-1_noUDG__BC_3300__Cov_17.31%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN:I8919__BC_283__Cov_68.76%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN:I12384__AD_296__Cov_37.16%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% Sudan_EarlyChristian_S:I6326__AD_720__Cov_62.53%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Tanzania_PN_IA_o:I13762__BC_101__Cov_69.17%
0.026 CapsianWGS_scaled = 91% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 9% Sudan_EarlyChristian_S:I18518__AD_850__Cov_22.95%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% Mongolia_Xiongnu_o1.SG:DA43_noUDG.SG__BC_150__Cov_69.69%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% SDN_MA_Kulubnarti:I19148__AD_850__Cov_4.58%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_YR_LN:HJTM109_noUDG__BC_1958__Cov_39.26%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_Guangxi_Huaqiao_Ming:HuaqiaoNL26__AD_1505__Cov_70.69%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% CHN_Cenxun_1400BP:CenxunKP05__AD_578__Cov_6.02%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% CHN_Qinchang_1400BP:QinchangKD13__AD_511__Cov_4.45%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_Guangxi_Huatuyan_Ming:HuatuyanNL02__AD_1564__Cov_27.59%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Kenya_PastoralN:I8814__BC_442__Cov_72.17%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_Guangxi_Huatuyan_Ming.SG:HuatuyanNL18__AD_1550__Cov_38.27%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_YR_LN:PLTM313_noUDG__BC_1984__Cov_90.78%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% China_YR_MN:WGM94_noUDG__BC_3300__Cov_35.64%
0.026 CapsianWGS_scaled = 97% Tunisia_Punic_oAfrica1.SG:R11759.SG__BC_641__Cov_57.02% + 3% Mongolia_Selenge_LateMedieval:KRN002__AD_1250__Cov_65.57%
0.026 CapsianWGS_scaled = 93% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 7% Sudan_EarlyChristian_S:I18507__AD_850__Cov_20.30%
0.026 CapsianWGS_scaled = 95% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 5% Tanzania_PN:I13979__BC_459__Cov_65.44%
0.026 CapsianWGS_scaled = 97% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 3% Kenya_400BP:I0595_noUDG__AD_1548__Cov_12.91%
0.026 CapsianWGS_scaled = 94% Canary_Islands_Guanche:CAN.003__AD_1255__Cov_63.56% + 6% Morocco_EN.SG:IAM.4_IAM.5_noUDG.WGC__BC_5113__Cov_44.16%

[Mokordo]

Modern individuals

0.013 mokordo_scaled(MyHeritage) = 52% Spanish_Biscay:7323 + 48% Spanish_Eivissa:EIV012_2
0.013 mokordo_scaled(MyHeritage) = 66% Spanish_Castilla_Y_Leon:HG01506 + 34% French_Chalosse:1323
0.014 mokordo_scaled(MyHeritage) = 66% Spanish_Castilla_Y_Leon:HG01506 + 34% French_South:SouthFrench1323
0.014 mokordo_scaled(MyHeritage) = 61% Spanish_Castilla_Y_Leon:HG01506 + 39% Basque_French:HGDP01364
0.014 mokordo_scaled(MyHeritage) = 54% Basque_Lower_Navarre:7454 + 46% Spanish_Eivissa:GUS203
0.014 mokordo_scaled(MyHeritage) = 52% Spanish_Biscay:7323 + 48% Spanish_Terres_de_l'Ebre:SAB009
0.014 mokordo_scaled(MyHeritage) = 59% French_Chalosse:1323 + 41% Spanish_Galicia:HG01685
0.014 mokordo_scaled(MyHeritage) = 57% French_Chalosse:1323 + 43% Portuguese: Portugal12
0.014 mokordo_scaled(MyHeritage) = 55% Spanish_Biscay:7323 + 45% Spanish_Mallorca:ALE339
0.014 mokordo_scaled(MyHeritage) = 51% Spanish_Galicia:GAL20 + 49% Basque_Spanish:BAS32
0.014 mokordo_scaled(MyHeritage) = 57% French_South:SouthFrench1323 + 43% Portuguese: Portugal12
0.014 mokordo_scaled(MyHeritage) = 62% Spanish_Castilla_Y_Leon:HG01506 + 38% Spanish_Biscay:7323
0.014 mokordo_scaled(MyHeritage) = 58% Spanish_Mallorca:MAY035 + 42% Basque_Spanish:BAS100
0.014 mokordo_scaled(MyHeritage) = 61% Basque_French:HGDP01364 + 39% Spanish_Eivissa:GUS203
0.014 mokordo_scaled(MyHeritage) = 60% French_South:SouthFrench1323 + 40% Spanish_Galicia:HG01685
0.014 mokordo_scaled(MyHeritage) = 61% Spanish_Biscay:7323 + 39% Spanish_Eivissa:EIV010_2
0.014 mokordo_scaled(MyHeritage) = 64% Spanish_Extremadura:HG01510 + 36% Basque_Navarre_Center:2373
0.014 mokordo_scaled(MyHeritage) = 65% French_Chalosse:1323 + 35% Portuguese:EBC_Portugal2

Ancient individuals

0.015 mokordo_scaled(MyHeritage) = 62% Germany_Schleswig_Saxon_LMedieval:SWG015.A + 38% Italy_Sardinia_SantImbenia_RomanImperial.SG:R11832.SG
0.015 mokordo_scaled(MyHeritage) = 72% Germany_Schleswig_Saxon_LMedieval:SWG015.A + 28% Italy_LaSassa_CA.SG:LSC002.SG
0.016 mokordo_scaled(MyHeritage) = 61% Germany_Schleswig_Saxon_LMedieval:SWG015.A + 39% Italy_Sardinia_SantImbenia_RomanImperial.SG:R11833.SG
0.016 mokordo_scaled(MyHeritage) = 53% England_Saxon.SG:SED010.SG + 47% Italy_Sardinia_MBA_o:I10365
0.016 mokordo_scaled(MyHeritage) = 55% England_MIA_LIA:I21310 + 45% Italy_Sardinia_SantImbenia_RomanImperial.SG:R11833.SG
0.016 mokordo_scaled(MyHeritage) = 63% Italy_Medieval_EarlyModern_oCentralEuropean.SG:R1224.SG + 37% Spain_EBA_Africa:I7162
0.016 mokordo_scaled(MyHeritage) = 52% England_MIA_LIA:I16601 + 48% Italy_Sardinia_SantImbenia_RomanImperial.SG:R11833.SG
0.016 mokordo_scaled(MyHeritage) = 60% Czech_EBA_Unetice:I14191 + 40% Italy_LaSassa_CA.SG:LSC002.SG
0.016 mokordo_scaled(MyHeritage) = 58% England_IA:I16388 + 42% Italy_Sicily_EBA:I3123
0.016 mokordo_scaled(MyHeritage) = 68% Denmark_Viking.SG:VK363_noUDG.SG + 32% Scotland_Megalithic.SG:mid002_noUDG.SG
0.016 mokordo_scaled(MyHeritage) = 70% England_EarlyMedieval:I14541 + 30% Spain_MLN:I7600
0.016 mokordo_scaled(MyHeritage) = 70% Denmark_Viking.SG:VK363_noUDG.SG + 30% Spain_SE_Iberia_CA:CLL004
0.016 mokordo_scaled(MyHeritage) = 57% England_MIA:I14802 + 43% Italy_Sicily_EBA:I3123
0.017 mokordo_scaled(MyHeritage) = 51% Czech_BellBeaker : PRU002 + 49% Italy_LaSassa_CA.SG:LSC002.SG
0.017 mokordo_scaled(MyHeritage) = 66% England_MIA:I19656 + 34% Germany_EN_LBK:XN225
0.017 mokordo_scaled(MyHeritage) = 74% Germany_Schleswig_Saxon_LMedieval:SWG015.A + 26% Croatia_C_Lasinja:I10271
0.017 mokordo_scaled(MyHeritage) = 52% England_MIA_LIA:I20631 + 48% Italy_Sicily_EBA:I3123
0.017 mokordo_scaled(MyHeritage) = 69% England_EarlyMedieval:I14541 + 31% France_MN:GRG025
0.017 mokordo_scaled(MyHeritage) = 70% Denmark_Viking.SG:VK363_noUDG.SG + 30% Spain_C:I6587
0.017 mokordo_scaled(MyHeritage) = 76% France_EBA:I10348 + 24% Spain_EBA_Africa:I7162

[Mitchell-Atkins]

In the above map the area marked as the DANELAW stretches too far to the north.

County Durham, the Newcastle area and Northumberland, with south-east Scotland up to Edinburgh, remained in the hands of the Northumbrian Angles.

It came from Brittannica.com

it was recognized that all of eastern England between the Rivers Tees and Thames formed a region in which a distinctive form of customary law prevailed in the local courts, differing from West Saxon law to the south and Mercian law to the west...The Danes did not settle the whole of this wide area intensively, but their powerful military aristocracy dominated for a sufficient period to leave its imprint on local custom. The area of the Danelaw is marked by the survival of Danish personal names and place-names; DNA evidence also has confirmed the link between Denmark and the modern inhabitants of Derbyshire.

867 AD Following the loss of York...the Danes killed both Osberht and Ælla and set up a puppet king on Northumbrian throne.

But your point is taken.

Yorkshire was found to have the highest percentage of Anglo-Saxon ancestry (41.17 per cent), while the East Midlands has the most Scandinavian ancestry (10.37 per cent)

Based on my results, I shall limit myself to the Yorkshire and East Midlands part of Danelaw. 

[Moeca]

Distance to: Moeca_scaled
0.03350278 38.20% TUR_Barcin_N + 61.80% POL_Unetice_EBA
0.03508720 56.60% DEU_LBK_KD + 43.40% Yamnaya_RUS_Samara
0.03681602 59.20% DEU_LBK_KD + 40.80% RUS_Progress_En
0.03702525 46.20% TUR_Barcin_N + 53.80% Corded_Ware_Baltic
0.03958730 37.00% DEU_LBK_KD + 63.00% POL_Unetice_EBA
0.04105433 45.40% DEU_LBK_KD + 54.60% Corded_Ware_Baltic
0.04232703 50.20% TUR_Barcin_N + 49.80% DEU_Karsdorf_LN
0.04258926 34.00% TUR_Barcin_N + 66.00% CZE_Early_Slav
0.04274275 49.40% DEU_LBK_KD + 50.60% DEU_Karsdorf_LN
0.04493545 46.60% TUR_Barcin_N + 53.40% Finnish
0.04538377 32.80% DEU_LBK_KD + 67.20% CZE_Early_Slav
0.04667509 57.60% TUR_Barcin_N + 42.40% Yamnaya_RUS_Samara
0.04714108 38.20% TUR_Pinarbasi_HG + 61.80% POL_Unetice_EBA
0.04797458 62.60% DEU_LBK_KD + 37.40% RUS_Khvalynsk_En
0.04896093 61.60% DEU_LBK_KD + 38.40% CHN_Dzungaria_EBA1
0.05008019 63.40% TUR_Barcin_N + 36.60% RUS_Khvalynsk_En
0.05086562 65.80% TUR_Barcin_N + 34.20% RUS_Volga-Kama_N
0.05112187 48.80% TUR_Barcin_N + 51.20% Baltic_EST_MA
0.05201121 51.20% TUR_Pinarbasi_HG + 48.80% DEU_Karsdorf_LN
0.05215908 49.80% TUR_Barcin_N + 50.20% Baltic_EST_IA
0.05221417 64.40% England_N + 35.60% RUS_Progress_En
0.05399173 33.20% TUR_Pinarbasi_HG + 66.80% CZE_Early_Slav
0.05417553 67.00% TUR_Barcin_N + 33.00% RUS_Samara_HG
0.05432859 58.80% TUR_Pinarbasi_HG + 41.20% Yamnaya_RUS_Samara
0.05445492 61.60% TUR_Pinarbasi_HG + 38.40% RUS_Progress_En


Target: Moeca_scaled
Distance: 0.0248% / 0.02480664
34.4 POL_Unetice_EBA
31.3 DEU_LBK_KD
10.9 TKM_Geoksyur_N
9.8 Baltic_EST_BA
6.8 TUR_Barcin_N
4.8 DEU_Karsdorf_LN
1.2 England_N
0.8 Baltic_EST_MA

[Moeca]

my father

Target: L_Eliseo_G25_scaled
Distance: 0.0155% / 0.01546261
26.5 DEU_Karsdorf_LN
17.6 TUR_Barcin_N
16.1 DEU_LBK_KD
14.2 Baltic_EST_MA
12.3 England_N
6.9 TKM_Geoksyur_N
3.8 POL_Unetice_EBA
1.5 Levant_Natufian
1.1 RUS_Darkveti-Meshoko_En