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View Full Version : Eastern Hunter Gatherers, who were they?



Scandal
03-03-2021, 11:56 AM
EHG were a mix of ANE and WHG or it's only a hypothetical model for them and EHGs were their own thing?
I mean on k15 I am 90% Sorb + 10% Lebanese or something but I don't have such ancestries.

vbnetkhio
03-04-2021, 03:29 PM
EHG were a mix of ANE and WHG or it's only a hypothetical model for them and EHGs were their own thing?
I mean on k15 I am 90% Sorb + 10% Lebanese or something but I don't have such ancestries.

I think we are sure about the 70% ANE part, but the other 30% is uncertain. It's something mostly WHG related.

Komintasavalta
03-04-2021, 03:45 PM
Here's the closest distances for Karelia_HG modeled as 70% MA1 and 30% something else:

$ mkdir g25;printf %s\\n ai\ 1UrhcfNMLW0oMXIbHGUE60v2taCM7PFw1 aa\ 1F2rKEVtu8nWSm7qFhxPU6UESQNsmA-sl mi\ 1HYrDwxEXv82DvDLoq736pS5ZTGJA4dn5 ma\ 1wZr-UOve0KUKo_Qbgeo27m-CQncZWb8y|while read l m;do curl "drive.google.com/uc?export=download&id=$m" -Lso g25/$l;done
$ awk -F, 'NR==1{for(i=2;i<=NF;i++)a[i]=$i;next}NR==2{for(i=2;i<=NF;i++)b[i]=$i;next}{s=0;for(i=2;i<=NF;i++)s+=((.3*$i+.7*a[i])-b[i])^2;print s^.5,$1}' <(grep RUS_MA1 g25/aa) <(grep RUS_Karelia_HG g25/aa) g25/aa|sort -n|awk '{printf"%.3f %s\n",$1,$2}'|sed s,^0,,|head -n32
.080 Baltic_LVA_HG
.081 SWE_Meso
.081 ROU_Iron_Gates_N
.082 Baltic_LTU_Narva
.082 ROU_Meso
.083 POL_BKG_N_o1
.083 SWE_Motala_HG
.083 Baltic_EST_Narva
.083 SRB_Iron_Gates_HG
.083 ROU_Iron_Gates_HG
.085 Baltic_LTU_Meso
.085 NOR_N_HG
.087 UKR_N
.087 Baltic_LVA_MN
.087 NOR_Meso
.088 VK2020_NOR_North_LN_HG
.089 UKR_Meso
.089 HUN_Koros_N_HG
.090 DEU_Meso_BDB
.093 IRL_Meso
.094 WHG
.095 ITA_Villabruna
.095 England_Mesolithic
.096 Wales_Meso
.097 LUX_Loschbour
.097 RUS_Veretye_Meso
.099 SWE_PWC_NHG
.099 DEU_Meso_TGM
.099 FRA_Nouvelle_Aquitaine_Meso
.101 UKR_EBA
.101 ITA_Grotta_Continenza_Meso
.103 RUS_Volga-Kama_N

Or 50% + 50% models:

.055 VK2020_NOR_North_LN_HG
.058 Baltic_LVA_MN
.059 NOR_N_HG
.059 NOR_Meso
.062 UKR_Meso
.065 RUS_Veretye_Meso
.066 UKR_N
.072 SWE_Meso
.074 RUS_Karelia_HG
.074 RUS_Sidelkino_HG
.075 SWE_Motala_HG
.075 RUS_Volga-Kama_N
.076 Baltic_EST_Narva
.079 RUS_Samara_HG
.079 ROU_Meso
.085 Baltic_LVA_HG
.093 ROU_Iron_Gates_N
.095 Baltic_LTU_Narva
.097 ROU_Iron_Gates_HG
.099 UKR_EBA
.102 SWE_PWC_NHG
.104 UKR_Dereivka_I_En1
.105 SRB_Iron_Gates_HG
.105 RUS_Khvalynsk_En
.108 POL_BKG_N_o1
.109 Baltic_LTU_Meso
.110 Baltic_EST_BA
.110 Baltic_LVA_BA
.113 Baltic_LTU_Late_Antiquity_low_res
.114 Baltic_EST_IA
.115 HUN_Koros_N_HG
.117 RUS_Sintashta_MLBA_o3

PCA:

https://i.ibb.co/fds47hW/kareliahgvsma1.png

Komintasavalta
03-04-2021, 05:03 PM
Here's an updated version of my two-way modeler that finds the ratio of the two source populations with the lowest distance. The first column shows the distance to RUS_Karelia_HG. The second column shows the percentage of the population in the third column. The percentage of RUS_MA_1 is the percentage shown in the second column subtracted from 100.

$ awk -F, 'NR==1{for(i=2;i<=NF;i++)a[i]=$i;next}NR==2{for(i=2;i<=NF;i++)b[i]=$i;next}{for(r=0;r<=100;r+=1){s=0;for(i=2;i<=NF;i++)s+=((.01*r*$i+(1-.01*r)*a[i])-b[i])^2;t[r]=s^.5};min=-1;for(i in t)if(min==-1||t[i]< min){min=t[i];minr=i};if(min!=0)printf"%f %.0f %s\n",min,minr,$1}' <(grep RUS_MA1 g25/aa) <(grep RUS_Karelia_HG g25/aa) g25/aa|sort -n|awk '{$1=sprintf("%.3f",$1);sub(/^0/,"")}1'|head -n32
.029 83 RUS_Veretye_Meso
.035 92 RUS_Sidelkino_HG
.037 98 RUS_Samara_HG
.045 64 VK2020_NOR_North_LN_HG
.045 87 RUS_Volga-Kama_N
.055 59 Baltic_LVA_MN
.055 59 NOR_Meso
.057 56 NOR_N_HG
.058 60 UKR_Meso
.066 52 UKR_N
.069 44 SWE_Meso
.072 44 SWE_Motala_HG
.073 43 Baltic_EST_Narva
.074 41 ROU_Meso
.075 38 Baltic_LVA_HG
.079 36 ROU_Iron_Gates_N
.079 35 Baltic_LTU_Narva
.082 35 ROU_Iron_Gates_HG
.082 32 POL_BKG_N_o1
.083 33 SRB_Iron_Gates_HG
.084 32 Baltic_LTU_Meso
.089 28 DEU_Meso_BDB
.089 31 HUN_Koros_N_HG
.091 26 IRL_Meso
.093 86 RUS_Khvalynsk_En
.094 26 England_Mesolithic
.094 27 WHG
.094 27 ITA_Villabruna
.094 100 RUS_Sintashta_MLBA_o3
.095 25 LUX_Loschbour
.095 26 Wales_Meso
.096 38 SWE_PWC_NHG