AncIBD: IBD in ancient DNA

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"We reveal that Corded Ware groups in Europe 4.5kya, the first with a high fraction of Steppe ancestry, share long IBD links with Yamnaya Steppe herders - indicating a very recent connection. Also, CW are linked to GAC farmers from East Europe with no Steppe ancestry yet. (4/5)"
 
So the thesis that CW is largely a byproduct of yamnaya males getting farmer women is getting even more robust, regardless of the perceived difference in y haplos between CWC and yamnaya.
 
Thanks Salento:

Moreover, there are several intriguing observations regarding individuals associatedwith the Corded Ware culture, who are the earliest Central and Northern Europeans tocarry high amounts of Steppe-like ancestry. Previous aDNA research has shown them tobe a genetic mix of previous Final Neolithic farmer cultures as well as Steppe-like ancestry[Haak et al., 2015, Allentoft et al., 2015, Papac et al., 2021]. Using IBD, we find that individuals from diverse Corded Ware cultural groups, including from Sweden (associatedwith the Battle Axe culture), Russia (Fatyanovo), and East/Central Europe share highamounts of long IBD with each other, and also have IBD sharing up to 20 cM with various Yamnaya groups (Fig. 5, Fig. E2). Importantly, we find a distinctive IBD signal withthe so-called Globular Amphora culture, in particular from Poland and Ukraine, whowere Copper Age farmers not yet carrying Steppe-like ancestry [Mathieson et al., 2018,Schroeder et al., 2019]. This IBD link to Globular Amphora appears for all Corded Waregroups in our analysis, including from as far away as Scandinavia and Russia (Fig. 5),which indicates that individuals related to Globular Amphora contexts from Eastern Europe must have had a major demographic impact early on in the genetic admixtures giving rise to various Corded Ware groups.
 
Could this tool be used to settle the dispute about the Southern Arc once and for all? That would really be something.

Thanks for sharing Jovialis. I hope it does and upcoming papers will use this tool to analyze the two waves Lazaridis proposed. We could get precise modeling about the second wave if it is from Meshoko/Maikop or from European farmers. I think for the first wave there aren’t enough published samples yet. Let’s see what the future will bring.
 
Thanks for sharing Jovialis. I hope it does and upcoming papers will use this tool to analyze the two waves Lazaridis proposed. We could get precise modeling about the second wave if it is from Meshoko/Maikop or from European farmers. I think for the first wave there aren’t enough published samples yet. Let’s see what the future will bring.

I believe I saw Haak on Twitter refer to this pre-print as "the future".

I think this will probably be the biggest revolution in the field since scientists discovered they could extract aDNA from the petrous bone.
 
IBD: R1, R437, R850, R474, VK537 (Foggia), and R57 ... Supplementary Spreadsheet:

https://www.biorxiv.org/content/bio...8.531671/DC2/embed/media-2.xlsx?download=true

iid1iid2max_IBDsum_IBD>8n_IBD>8sum_IBD>12n_IBD>12sum_IBD>16n_IBD>16sum_IBD>20n_IBD>20
R1









I14690R1.SG17.20130150.46230145432.566302217.201301100
I13777R1.SG11.158811.158800131000000
I10391R1.SG9.09410729.0941071511000000
HOP001R1.SG9.09110319.0911030771000000
I2457R1.SG9.05790339.057903291000000
RK4002R1.SG8.74280938.7428092961000000
VK348_noUDG.SGR1.SG8.71939668.7193965911000000
I6764.SGR1.SG8.53769788.5376977921000000
R3659.SGR1.SG8.27580098.2758009431000000
MIB052R1.SG8.22110038.2211002711000000
I8371R1.SG8.17919378.1791937351000000
R11105.SGR1.SG8.15410028.154100181000000











R437









VK313_noUDG.SGR437.SG11.59590511.595904831000000
R10340.SGR437.SG9.95750439.9575042721000000
SUC001R437.SG8.14369928.1436991691000000
VLI071R437.SG8.02319058.0231904981000000











R850









R850.SGI3917_noUDG12.281212.28120029112.281210000
R850.SGR1543.SG9.69289549.6928954121000000
R850.SGI100459.29799689.2979967591000000
R850.SGGRG0088.03809918.0380991110
0000











R474









R474.SGI1874512.54720112.54720092112.54720110000
R474.SGAITI_7210.70109910.701099041000000
R474.SGLBR0029.03680329.0368032461000000
R474.SGAITI_788.93519828.9351981881000000
R474.SGI198698.43790178.4379017351000000
R474.SGI04438.43690048.4369003771000000
R474.SGKO10068.26610338.2661032681000000
R474.SGI137928.11100018.1110000611000000
R474.SGI100638.06490188.0649018291000000











VK537 (Foggia)









VK314_noUDG.SGVK537_noUDG.SG10.15549910.155498981000000
VK537_noUDG.SGROUQCC.SG9.90860469.9086046221000000
VK369_noUDG.SGVK537_noUDG.SG9.43239939.4323992731000000
VK312_noUDG.SGVK537_noUDG.SG9.33979759.3397974971000000
VK537_noUDG.SGI103489.04220049.0422004461000000
VK537_noUDG.SGVK357_noUDG.SG8.88520488.8852047921000000
VK460_noUDG.SGVK537_noUDG.SG8.77680038.7768003341000000
VK69_noUDG.SGVK537_noUDG.SG8.70540148.7054014211000000
ros005_renamed_noUDG.SGVK537_noUDG.SG8.56050258.5605025291000000
VK175_noUDG.SGVK537_noUDG.SG8.50518.5051000121000000
VK537_noUDG.SGI148318.48259938.4825992581000000
I7604VK537_noUDG.SG8.47079758.4707975391000000
VK340_noUDG.SGVK537_noUDG.SG8.39269168.3926916121000000
VK537_noUDG.SGI25328.3550998.3550989631000000
VK537_noUDG.SGPG20018.34060018.3406001331000000
VK338_noUDG.SGVK537_noUDG.SG8.33789718.3378970621000000
RISE675_noUDG.SGVK537_noUDG.SG8.26020248.2602024081000000
VK537_noUDG.SGVK528_noUDG.SG8.23679868.2367986441000000
VK537_noUDG.SGI48878.13958.1395000221000000
PN107.SGVK537_noUDG.SG8.00989878.0098986631000000











R57









ETR013R57.SG9.59370149.5937013631000000
VK27_noUDG.SGR57.SG8.52540148.5254013541000000
R57.SGR61.SG8.24309598.2430958751000000
I4558R57.SG8.11798578.1179857251000000
VK432_noUDG.SGR57.SG8.05320748.0532073971000000
 
IBD: Villabruna (Italy_North_HG)

iid1iid2max_IBDsum_IBD>8n_IBD>8sum_IBD>12n_IBD>12sum_IBD>16n_IBD>16sum_IBD>20n_IBD>20
I5241 Serbia_IronGates_MesolithicVillabruna_noUDG 15.59790415.597904115.59790410000
R11.SG Italy_Abruzzo_MesolithicVillabruna_noUDG13.381130.919194313.381110000
I14168 Czech_C_BaalbergeVillabruna_noUDG12.03889812.038898112.03889810000
Villabruna_noUDG I6767_noUDG.SG England_Mesolithic10.62719827.5973913000000
SB460A3_lib.SG Wales_MesolithicVillabruna_noUDG9.981401318.3168962000000
Villabruna_noUDGROUQCC.SG France_LaClape_LN_EMBA9.89379929.89379921000000
RISE1159_noUDG.SG Poland_Koszyce_GlobularAmphoraVillabruna_noUDG9.76880799.76880791000000
PN112.SG Ireland_EN_MNVillabruna_noUDG9.60350049.60350041000000
Spiginas4 Lithuania_MesolithicVillabruna_noUDG9.48808199.48808191000000
SB573A_lib.SG Wales_NVillabruna_noUDG9.45979369.45979361000000
I5411 Romania_IronGates_MesolithicVillabruna_noUDG9.39480079.39480071000000
KGH6.SG Ireland_MesolithicVillabruna_noUDG9.12700317.1486032000000
Villabruna_noUDGR15.SG Italy_Abruzzo_Mesolithic9.00880117.3968022000000
Villabruna_noUDGR7.SG Italy_Abruzzo_Mesolithic8.76619828.76619821000000
Villabruna_noUDGI0843 Spain_HG8.7610968.7610961000000
Villabruna_noUDGChan_noUDG.SG Spain_HG8.38289868.38289861000000
BDB001 Germany_MesolithicVillabruna_noUDG8.35379968.35379961000000
BNL003 Czech_EBA_UneticeVillabruna_noUDG8.18969018.18969011000000
UZZ4446_noUDG Italy_Sicily_LateMesolithic_CastelnovianVillabruna_noUDG8.18330058.18330051000000
UZZ071_noUDG Italy_Sicily_LateMesolithicVillabruna_noUDG8.12499528.12499521000000
VK325_noUDG.SG Denmark_VikingVillabruna_noUDG8.11640028.11640021000000
I4916 Serbia_IronGates_MesolithicVillabruna_noUDG8.09479958.09479951000000
VK312_noUDG.SG Denmark_VikingVillabruna_noUDG8.02709468.02709461000000
 

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