Posts: 619
Threads: 63
Joined: Sep 2023
Gender: Male
Ethnicity: Berber
Nationality: North Africa
Y-DNA (P): E-V257(×M81)
Y-DNA (M): V
mtDNA (P): L2b
(03-31-2024, 03:46 PM)Jalisciense Wrote: (03-31-2024, 06:04 AM)ilabv Wrote: (03-31-2024, 06:03 AM)Jalisciense Wrote: Ok, I already sent them to him in PM, but I hope he is not online one day each month or something xdd
I'll send them to him using another route as well
He replied me this:
"None of the samples from these three studies are present on G25.
G25 Ancients: https://www.dropbox.com/scl/fi/0q39lrsyn...o&e=3&dl=0 "
I was looking i found only sample African ancestry
Quote:Mexico_Colonial_African:I10860__AD_1610__Cov_50.99%,-0.626027,0.061947,0.022627,0.015181,0.004001,0.006136,-0.003055,0.014769,-0.028838,0.013303,0.001461,-0.003147,0.003568,-0.002752,0.002714,0.01896,-0.003651,0.003674,-0.003645,0.00075,-0.001622,0.000866,0.001725,0,0.002634
and too only sample European ancestry
Quote:Mexico_Colonial_European:I8558__AD_1610__Cov_71.83%,0.106994,0.145221,0.04186,-0.008721,0.035699,-0.005857,-0.009165,0.005077,0.011862,0.023873,-0.008931,0.006744,-0.011001,-0.008257,0.010858,-0.002254,0.006258,-0.005194,-0.004022,0.003502,-0.005241,-0.008903,0.000986,-0.001687,-0.005868
and there samples Native American ancestry (Maya)
Quote:Mexico_Colonial_Maya:I10859__AD_1610__Cov_63.46%,0.050082,-0.317861,0.115022,0.095608,-0.115714,-0.014502,-0.290238,-0.351447,-0.011044,-0.016219,-0.008119,-0.00045,0.000743,0.017891,-0.001493,0.02201,0.001695,-0.002914,0.001257,-0.005753,-0.003369,0.004081,-0.00419,0.001566,-0.006107
Mexico_Colonial_Maya:I10861__AD_1610__Cov_57.00%,0.048944,-0.321923,0.111251,0.088825,-0.112636,-0.007251,-0.292823,-0.339217,-0.01309,-0.013485,-0.00065,0.002398,0.002527,0.022295,-0.009772,0.001193,0.005346,-0.002787,-0.002263,-0.001751,-0.001248,0.004204,0.007888,0.005663,0.006227
Mexico_Colonial_Maya:I10862__AD_1610__Cov_48.16%,0.056912,-0.313799,0.113136,0.091086,-0.115714,-0.017849,-0.292353,-0.347985,-0.018816,-0.01221,-0.006008,0.000899,0.004757,0.018717,-0.002172,0.009281,0.004824,0.003801,0.001383,-0.006253,-0.007612,0.008161,0.000863,0.005422,-0.007185
Mexico_Colonial_Maya:I10863__AD_1610__Cov_67.45%,0.060326,-0.321923,0.113513,0.092055,-0.104943,-0.010319,-0.290473,-0.339909,-0.007567,-0.010752,0.004872,-0.001499,0.000892,0.01913,-0.013572,0.013126,0.006128,-0.00076,-0.007793,-0.001876,0.003619,0.014715,-0.003697,-0.000361,-0.00946
Mexico_Colonial_Maya:I8557__AD_1610__Cov_57.37%,0.05122,-0.319892,0.112382,0.097223,-0.106174,-0.018965,-0.293528,-0.347293,-0.008999,-0.012939,-0.006008,-0.00015,0.002081,0.018717,-0.008279,0.003978,0.005476,-0.000253,-0.002514,-0.007879,-0.001622,0.009892,-0.003328,0.000361,-0.001078
Mexico_Colonial_Maya:I8559__AD_1519__Cov_67.86%,0.052359,-0.316845,0.112005,0.093024,-0.109867,-0.012271,-0.293998,-0.34337,-0.00859,-0.020228,0.00065,0.003147,0.000446,0.007294,-0.013436,-0.00053,0.007693,-0.003167,-0.002765,0.000875,0.001123,-0.003586,-0.002711,0.000723,0.000239
Target: CapsianWGS_scaled
Distance: 1.2510% / 0.01251049
37.2 Iberomaurusian
36.8 Early_European_Farmer
12.8 Early_Levantine_Farmer
8.0 Steppe_Pastoralist
4.8 SSA
0.4 Iran_Neolithic
FTDNA : 91% North Africa +<2% Bedouin + <2 Southern-Levantinfo + <1 Sephardic Jewish + 3% Malta + 3% Iberian Peninsula
23andME : 100% North Africa
WGS ( Y-DNA and mtDNA)
Y-DNA: E-A30032< A30480 ~1610 CE
mtDNA: V25b 800CE ? ( age mtDNA not accurate )
Posts: 215
Threads: 18
Joined: Oct 2023
Gender: Male
Ethnicity: Mestizo
Nationality: Mexican
Y-DNA (P): E1b-L19 -> M183 -> PF2546
Y-DNA (M): E1b-L19 -> M183 -> PF2546
mtDNA (M): B2g1
mtDNA (P): Unknown
Country:
03-31-2024, 09:42 PM
(This post was last modified: 03-31-2024, 09:43 PM by Jalisciense.)
(03-31-2024, 09:10 PM)Capsian20 Wrote: (03-31-2024, 03:46 PM)Jalisciense Wrote: (03-31-2024, 06:04 AM)ilabv Wrote: I'll send them to him using another route as well
He replied me this:
"None of the samples from these three studies are present on G25.
G25 Ancients: https://www.dropbox.com/scl/fi/0q39lrsyn...o&e=3&dl=0 "
I was looking i found only sample African ancestry
Quote:Mexico_Colonial_African:I10860__AD_1610__Cov_50.99%,-0.626027,0.061947,0.022627,0.015181,0.004001,0.006136,-0.003055,0.014769,-0.028838,0.013303,0.001461,-0.003147,0.003568,-0.002752,0.002714,0.01896,-0.003651,0.003674,-0.003645,0.00075,-0.001622,0.000866,0.001725,0,0.002634
and too only sample European ancestry
Quote:Mexico_Colonial_European:I8558__AD_1610__Cov_71.83%,0.106994,0.145221,0.04186,-0.008721,0.035699,-0.005857,-0.009165,0.005077,0.011862,0.023873,-0.008931,0.006744,-0.011001,-0.008257,0.010858,-0.002254,0.006258,-0.005194,-0.004022,0.003502,-0.005241,-0.008903,0.000986,-0.001687,-0.005868
and there samples Native American ancestry (Maya)
Quote:Mexico_Colonial_Maya:I10859__AD_1610__Cov_63.46%,0.050082,-0.317861,0.115022,0.095608,-0.115714,-0.014502,-0.290238,-0.351447,-0.011044,-0.016219,-0.008119,-0.00045,0.000743,0.017891,-0.001493,0.02201,0.001695,-0.002914,0.001257,-0.005753,-0.003369,0.004081,-0.00419,0.001566,-0.006107
Mexico_Colonial_Maya:I10861__AD_1610__Cov_57.00%,0.048944,-0.321923,0.111251,0.088825,-0.112636,-0.007251,-0.292823,-0.339217,-0.01309,-0.013485,-0.00065,0.002398,0.002527,0.022295,-0.009772,0.001193,0.005346,-0.002787,-0.002263,-0.001751,-0.001248,0.004204,0.007888,0.005663,0.006227
Mexico_Colonial_Maya:I10862__AD_1610__Cov_48.16%,0.056912,-0.313799,0.113136,0.091086,-0.115714,-0.017849,-0.292353,-0.347985,-0.018816,-0.01221,-0.006008,0.000899,0.004757,0.018717,-0.002172,0.009281,0.004824,0.003801,0.001383,-0.006253,-0.007612,0.008161,0.000863,0.005422,-0.007185
Mexico_Colonial_Maya:I10863__AD_1610__Cov_67.45%,0.060326,-0.321923,0.113513,0.092055,-0.104943,-0.010319,-0.290473,-0.339909,-0.007567,-0.010752,0.004872,-0.001499,0.000892,0.01913,-0.013572,0.013126,0.006128,-0.00076,-0.007793,-0.001876,0.003619,0.014715,-0.003697,-0.000361,-0.00946
Mexico_Colonial_Maya:I8557__AD_1610__Cov_57.37%,0.05122,-0.319892,0.112382,0.097223,-0.106174,-0.018965,-0.293528,-0.347293,-0.008999,-0.012939,-0.006008,-0.00015,0.002081,0.018717,-0.008279,0.003978,0.005476,-0.000253,-0.002514,-0.007879,-0.001622,0.009892,-0.003328,0.000361,-0.001078
Mexico_Colonial_Maya:I8559__AD_1519__Cov_67.86%,0.052359,-0.316845,0.112005,0.093024,-0.109867,-0.012271,-0.293998,-0.34337,-0.00859,-0.020228,0.00065,0.003147,0.000446,0.007294,-0.013436,-0.00053,0.007693,-0.003167,-0.002765,0.000875,0.001123,-0.003586,-0.002711,0.000723,0.000239
Yeah bro, I know, but the 3 studies I posted have different samples from these ones.
Capsian20 likes this post
23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA and 3.2% Unassigned
AncestryDNA: 57.27% Europe, 35.81% Indigenous Americas-Mexico, 3.46% MENA and 3.45% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa and <1% Eastern India
Living DNA: 63.3% West Iberia, 34.3% Native Americas and 2.3% Yorubaland
MyHeritage DNA: 60.8% Mesoamerican & Andean, 21% European, 14.9% MENA and 3.3% Nigerian
[1] "penalty= 0.001"
[1] "Ncycles= 1000"
[1] "distance%=2.1116"
Jalisciense
Iberian EMA,50.2
Native American,34.6
Guanche,7.4
Levantine EBA,4.6
African,3.2
Posts: 11
Threads: 1
Joined: Oct 2023
Gender: Male
Ethnicity: Bantubangian
"Reconstructing the dispersals and adaptive history of Bantu-speaking populations in Africa and North America"
There is over 1200 samples, most of them from West and Central Africa.
https://ega-archive.org/studies/EGAS00001002078
https://ega-archive.org/datasets/EGAD00010001209
Posts: 11
Threads: 1
Joined: Oct 2023
Gender: Male
Ethnicity: Bantubangian
From "Genomic landscape of human diversity across Madagascar"
700 Malagasy samples from more than 200 villages across the Island. Not quite sure if we could use it publicly even after requesting access.
https://ega-archive.org/datasets/EGAD00010001612
Same here I don't think Swahilis coordinates we have come from this study "Genetic History of the Swahili population" , especially the Comorians
https://ega-archive.org/studies/EGAS00001002569
The first four Datasets(Mossi, Bantu and Semi-Bantu Cameroon, Wasambaa) were already converted but not the last two containing Chaaga and Pare samples (Tanzania)
https://ega-archive.org/studies/EGAS00001003648
JapaJinga and Qrts like this post
Posts: 149
Threads: 1
Joined: Oct 2023
(03-31-2024, 10:48 PM)Ronalawe Wrote: From "Genomic landscape of human diversity across Madagascar"
700 Malagasy samples from more than 200 villages across the Island. Not quite sure if we could use it publicly even after requesting access.
https://ega-archive.org/datasets/EGAD00010001612
Same here I don't think Swahilis coordinates we have come from this study "Genetic History of the Swahili population" , especially the Comorians
https://ega-archive.org/studies/EGAS00001002569
The first four Datasets(Mossi, Bantu and Semi-Bantu Cameroon, Wasambaa) were already converted but not the last two containing Chaaga and Pare samples (Tanzania)
https://ega-archive.org/studies/EGAS00001003648
Only ancient DNA please. Backlog is now many papers. Maybe down the line we can talk about modern samples
Capsian20 and Ronalawe like this post
Posts: 11
Threads: 1
Joined: Oct 2023
Gender: Male
Ethnicity: Bantubangian
03-31-2024, 11:11 PM
(This post was last modified: 03-31-2024, 11:14 PM by Ronalawe.)
(03-31-2024, 10:51 PM)ilabv Wrote: (03-31-2024, 10:48 PM)Ronalawe Wrote: From "Genomic landscape of human diversity across Madagascar"
700 Malagasy samples from more than 200 villages across the Island. Not quite sure if we could use it publicly even after requesting access.
https://ega-archive.org/datasets/EGAD00010001612
Same here I don't think Swahilis coordinates we have come from this study "Genetic History of the Swahili population" , especially the Comorians
https://ega-archive.org/studies/EGAS00001002569
The first four Datasets(Mossi, Bantu and Semi-Bantu Cameroon, Wasambaa) were already converted but not the last two containing Chaaga and Pare samples (Tanzania)
https://ega-archive.org/studies/EGAS00001003648
Only ancient DNA please. Backlog is now many papers. Maybe down the line we can talk about modern samples I got you, totally forgot the thread being under Ancient DNA
Posts: 271
Threads: 1
Joined: Oct 2023
An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers
Quote:Human culture, biology, and health were shaped dramatically by the onset of agriculture ∼12,000 y B.P. This shift is hypothesized to have resulted in increased individual fitness and population growth as evidenced by archaeological and population genomic data alongside a decline in physiological health as inferred from skeletal remains. Here, we consider osteological and ancient DNA data from the same prehistoric individuals to study human stature variation as a proxy for health across a transition to agriculture. Specifically, we compared “predicted” genetic contributions to height from paleogenomic data and “achieved” adult osteological height estimated from long bone measurements for 167 individuals across Europe spanning the Upper Paleolithic to Iron Age (∼38,000 to 2,400 B.P.). We found that individuals from the Neolithic were shorter than expected (given their individual polygenic height scores) by an average of −3.82 cm relative to individuals from the Upper Paleolithic and Mesolithic (P = 0.040) and −2.21 cm shorter relative to post-Neolithic individuals (P = 0.068), with osteological vs. expected stature steadily increasing across the Copper (+1.95 cm relative to the Neolithic), Bronze (+2.70 cm), and Iron (+3.27 cm) Ages. These results were attenuated when we additionally accounted for genome-wide genetic ancestry variation: for example, with Neolithic individuals −2.82 cm shorter than expected on average relative to pre-Neolithic individuals (P = 0.120). We also incorporated observations of paleopathological indicators of nonspecific stress that can persist from childhood to adulthood in skeletal remains into our model. Overall, our work highlights the potential of integrating disparate datasets to explore proxies of health in prehistory.
BAM files: https://www.ebi.ac.uk/ena/browser/view/PRJEB51250
Code: I14159; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>PF3233>Z6484>Z6284>FGC2315* (xZ12221,Y140837,PF3239)
I14161; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>FTA40859
I14163; 4300-4000 BC; Urziceni, Romania; Romania_CA; I2-Y3721>pre-Y3670
I15623; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2b-CTS342* (xY36001,PF4202,Z724,FGC12126)
I11665; 1500-800 BC; Felsődobsza-2. lelőhely, Hungary; Late Bronze Age; I2-Y3721>Y3670>L1229 (xS20743,Y6512,Z2069)
I11695; 1500-800 BC; Pácin-Alsókenderszer, Hungary; Late Bronze Age; R1b-Z2103>M12149 (xY4362,Z2110)
I11670; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; I2-L596>Y14158>S6635>S6724>pre-PF3885
I11674; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-U152>L2>Z49>BY96884* (xBY55682)
I11676; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-L51>L52>FT123498>BY44535* (xY289225)
Posts: 91
Threads: 0
Joined: Sep 2023
Gender: Male
Ethnicity: german / italian
Y-DNA (P): R-YP445 YP729
mtDNA (M): H80
ETR016 and TAQ020 from this paper never made it to G25
Capsian20 likes this post
Posts: 619
Threads: 63
Joined: Sep 2023
Gender: Male
Ethnicity: Berber
Nationality: North Africa
Y-DNA (P): E-V257(×M81)
Y-DNA (M): V
mtDNA (P): L2b
(04-01-2024, 10:33 AM)corrigendum Wrote: An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers
Quote:Human culture, biology, and health were shaped dramatically by the onset of agriculture ∼12,000 y B.P. This shift is hypothesized to have resulted in increased individual fitness and population growth as evidenced by archaeological and population genomic data alongside a decline in physiological health as inferred from skeletal remains. Here, we consider osteological and ancient DNA data from the same prehistoric individuals to study human stature variation as a proxy for health across a transition to agriculture. Specifically, we compared “predicted” genetic contributions to height from paleogenomic data and “achieved” adult osteological height estimated from long bone measurements for 167 individuals across Europe spanning the Upper Paleolithic to Iron Age (∼38,000 to 2,400 B.P.). We found that individuals from the Neolithic were shorter than expected (given their individual polygenic height scores) by an average of −3.82 cm relative to individuals from the Upper Paleolithic and Mesolithic (P = 0.040) and −2.21 cm shorter relative to post-Neolithic individuals (P = 0.068), with osteological vs. expected stature steadily increasing across the Copper (+1.95 cm relative to the Neolithic), Bronze (+2.70 cm), and Iron (+3.27 cm) Ages. These results were attenuated when we additionally accounted for genome-wide genetic ancestry variation: for example, with Neolithic individuals −2.82 cm shorter than expected on average relative to pre-Neolithic individuals (P = 0.120). We also incorporated observations of paleopathological indicators of nonspecific stress that can persist from childhood to adulthood in skeletal remains into our model. Overall, our work highlights the potential of integrating disparate datasets to explore proxies of health in prehistory.
BAM files: https://www.ebi.ac.uk/ena/browser/view/PRJEB51250
Code: I14159; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>PF3233>Z6484>Z6284>FGC2315* (xZ12221,Y140837,PF3239)
I14161; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>FTA40859
I14163; 4300-4000 BC; Urziceni, Romania; Romania_CA; I2-Y3721>pre-Y3670
I15623; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2b-CTS342* (xY36001,PF4202,Z724,FGC12126)
I11665; 1500-800 BC; Felsődobsza-2. lelőhely, Hungary; Late Bronze Age; I2-Y3721>Y3670>L1229 (xS20743,Y6512,Z2069)
I11695; 1500-800 BC; Pácin-Alsókenderszer, Hungary; Late Bronze Age; R1b-Z2103>M12149 (xY4362,Z2110)
I11670; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; I2-L596>Y14158>S6635>S6724>pre-PF3885
I11674; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-U152>L2>Z49>BY96884* (xBY55682)
I11676; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-L51>L52>FT123498>BY44535* (xY289225)
Quote:Romania_C_Bodrogkeresztur:I14159__BC_4000__Cov_70.41%,0.122929,0.173656,0.02489,-0.084626,0.057857,-0.031236,-0.00188,-0.007615,0.041723,0.08474,0.003897,0.011839,-0.019326,0.003028,-0.034473,-0.013789,0.018906,0.00038,0.00993,-0.004502,-0.013102,0.003586,-0.010106,-0.015062,-0.006107
Romania_C_Bodrogkeresztur:I14161__BC_4000__Cov_67.02%,0.126344,0.17264,0.036958,-0.060401,0.068013,-0.035698,-0.00235,0.001615,0.038655,0.076539,-0.001137,0.011839,-0.016204,0,-0.032709,-0.000928,0.011865,0.006841,0.014581,0.002376,-0.009608,0.006183,-0.002835,-0.018436,-0.000838
Romania_C_Bodrogkeresztur:I14163__BC_4000__Cov_66.23%,0.126344,0.178733,0.021873,-0.086241,0.066474,-0.035977,-0.005875,0.000692,0.041518,0.080002,0.005684,0.014987,-0.016353,0.005505,-0.03298,-0.020949,-0.00691,0.004434,0.009679,-0.019509,-0.011105,0.011005,-0.008258,-0.020003,-0.002275
Romania_C_Bodrogkeresztur_o1:I15623__BC_4138__Cov_56.22%,0.117238,0.168578,0.004148,-0.068476,0.040315,-0.024542,-0.002115,-0.002769,0.022702,0.056129,0.016564,0.013638,-0.022745,-0.008257,-0.026873,-0.002917,0.012647,0.006714,0.007793,-0.006378,-0.010357,0.005812,-0.008751,-0.003615,-0.00455
https://www.dropbox.com/scl/fi/0q39lrsyn...o&e=4&dl=0
Target: CapsianWGS_scaled
Distance: 1.2510% / 0.01251049
37.2 Iberomaurusian
36.8 Early_European_Farmer
12.8 Early_Levantine_Farmer
8.0 Steppe_Pastoralist
4.8 SSA
0.4 Iran_Neolithic
FTDNA : 91% North Africa +<2% Bedouin + <2 Southern-Levantinfo + <1 Sephardic Jewish + 3% Malta + 3% Iberian Peninsula
23andME : 100% North Africa
WGS ( Y-DNA and mtDNA)
Y-DNA: E-A30032< A30480 ~1610 CE
mtDNA: V25b 800CE ? ( age mtDNA not accurate )
Posts: 82
Threads: 1
Joined: Sep 2023
(04-01-2024, 10:33 AM)corrigendum Wrote: An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers
Quote:Human culture, biology, and health were shaped dramatically by the onset of agriculture ∼12,000 y B.P. This shift is hypothesized to have resulted in increased individual fitness and population growth as evidenced by archaeological and population genomic data alongside a decline in physiological health as inferred from skeletal remains. Here, we consider osteological and ancient DNA data from the same prehistoric individuals to study human stature variation as a proxy for health across a transition to agriculture. Specifically, we compared “predicted” genetic contributions to height from paleogenomic data and “achieved” adult osteological height estimated from long bone measurements for 167 individuals across Europe spanning the Upper Paleolithic to Iron Age (∼38,000 to 2,400 B.P.). We found that individuals from the Neolithic were shorter than expected (given their individual polygenic height scores) by an average of −3.82 cm relative to individuals from the Upper Paleolithic and Mesolithic (P = 0.040) and −2.21 cm shorter relative to post-Neolithic individuals (P = 0.068), with osteological vs. expected stature steadily increasing across the Copper (+1.95 cm relative to the Neolithic), Bronze (+2.70 cm), and Iron (+3.27 cm) Ages. These results were attenuated when we additionally accounted for genome-wide genetic ancestry variation: for example, with Neolithic individuals −2.82 cm shorter than expected on average relative to pre-Neolithic individuals (P = 0.120). We also incorporated observations of paleopathological indicators of nonspecific stress that can persist from childhood to adulthood in skeletal remains into our model. Overall, our work highlights the potential of integrating disparate datasets to explore proxies of health in prehistory.
BAM files: https://www.ebi.ac.uk/ena/browser/view/PRJEB51250
Code: I14159; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>PF3233>Z6484>Z6284>FGC2315* (xZ12221,Y140837,PF3239)
I14161; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>FTA40859
I14163; 4300-4000 BC; Urziceni, Romania; Romania_CA; I2-Y3721>pre-Y3670
I15623; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2b-CTS342* (xY36001,PF4202,Z724,FGC12126)
I11665; 1500-800 BC; Felsődobsza-2. lelőhely, Hungary; Late Bronze Age; I2-Y3721>Y3670>L1229 (xS20743,Y6512,Z2069)
I11695; 1500-800 BC; Pácin-Alsókenderszer, Hungary; Late Bronze Age; R1b-Z2103>M12149 (xY4362,Z2110)
I11670; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; I2-L596>Y14158>S6635>S6724>pre-PF3885
I11674; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-U152>L2>Z49>BY96884* (xBY55682)
I11676; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-L51>L52>FT123498>BY44535* (xY289225)
and I11659, I11661, I11664 2300-1600 BC Fuzesabony
and Hungary; Iron Age_Scythian I11669, I11675, I11680, I1682
corrigendum likes this post
Posts: 41
Threads: 0
Joined: Feb 2024
(03-31-2024, 01:50 AM)ilabv Wrote: (03-29-2024, 08:53 PM)miquirumba Wrote: I see ancient celtic-basque samples in Theytree https://www.theytree.com/portal/index/sa...ient%20DNA
but I cannot find their G25 in updated ancient G25 sheet
Do you know if they were processed?
https://www.nature.com/articles/s41467-024-45438-1
https://www.ebi.ac.uk/ena/browser/view/PRJEB71003
Down Syndrome etc samples from this study: https://www.nature.com/articles/s41467-024-45438-1
Code: Scaled:
Trisomy_Study:CRU013_ss.A0101,0.114961,0.148267,0.05242,0.008075,0.065858,0.001952,-0.010575,0.005077,0.029656,0.042461,-0.009581,0.01139,-0.021258,-0.020368,0.014115,-0.006629,-0.005867,0.003801,0.002388,-0.003377,0.009358,-0.000989,-0.007888,-0.009158,0.004191
Trisomy_Study:CRU024_ss.A0101,0.124067,0.147252,0.052797,0.005168,0.060934,-0.000279,-0.009165,0.002308,0.02352,0.03991,-0.00406,0.011989,-0.020961,-0.026699,0.005565,-0.006895,0.004433,-0.003167,0.007919,-0.007253,0.01672,0.002473,-0.010106,-0.010724,-0.000718
Trisomy_Study:ERE004_ss.A0101,0.106994,0.14319,0.04714,0.007106,0.061858,-0.003626,-0.005875,-0.003923,0.03211,0.042279,-0.001949,0.003747,-0.008028,-0.003441,0.004343,-0.001326,0.001956,0.002407,0.011061,-0.005253,0.009858,0.001607,-0.015283,-0.017352,0.000838
Unscaled:
Trisomy_Study:CRU013_ss.A0101,0.0101,0.0146,0.0139,0.0025,0.0214,0.0007,-0.0045,0.0022,0.0145,0.0233,-0.0059,0.0076,-0.0143,-0.0148,0.0104,-0.005,-0.0045,0.003,0.0019,-0.0027,0.0075,-0.0008,-0.0064,-0.0076,0.0035
Trisomy_Study:CRU024_ss.A0101,0.0109,0.0145,0.014,0.0016,0.0198,-0.0001,-0.0039,0.001,0.0115,0.0219,-0.0025,0.008,-0.0141,-0.0194,0.0041,-0.0052,0.0034,-0.0025,0.0063,-0.0058,0.0134,0.002,-0.0082,-0.0089,-0.0006
Trisomy_Study:ERE004_ss.A0101,0.0094,0.0141,0.0125,0.0022,0.0201,-0.0013,-0.0025,-0.0017,0.0157,0.0232,-0.0012,0.0025,-0.0054,-0.0025,0.0032,-0.001,0.0015,0.0019,0.0088,-0.0042,0.0079,0.0013,-0.0124,-0.0144,0.0007
Thanks a lot!
great job
I had K36 simulated G25 from Genoplot in 23andme_v3+5 combined SNPs (WGSExtract) with strange results. I checked your coods. in my calculator Basque-Iberian and fit is incredible fine for theses 3 samples without foreigner pops (except Hallstatt and Central Europe BB of course)
sample: Custom:ERE004 ss.A0101
distance: 1.57
Bell Beaker: 27.8
Bell Beaker Bavaria: 15.8
Iberia SE BA Villena: 12
Iberia East IA: 8.4
French Occitanie: 7.8
Basque Navarre North: 6.4
Basque Gipuzkoa: 6.4
Iberia ElMiron: 6.2
Iberia Central CA Afr: 5.8
Basque Lower Navarre: 3.4
Basque Araba: 0
Bell Beaker Iberia: 0
Basque French: 0
Basque Spanish: 0
Basque Gipuzkoa Southwest: 0
Spanish Navarra: 0
Basque Biscay: 0
French Bearn: 0
Iberia Argar Bastida: 0
sample: Custom:CRU024 ss.A0101
distance: 1.33
Bell Beaker: 0
Bell Beaker Bavaria: 0
Iberia SE BA Villena: 0
Iberia East IA: 25.2
French Occitanie: 20
Basque Navarre North: 0
Basque Gipuzkoa: 0
Iberia ElMiron: 0
Iberia Central CA Afr: 0
Basque Lower Navarre: 0
Basque Araba: 0
Bell Beaker Iberia: 18.8
Basque French: 0
Basque Spanish: 0
Basque Gipuzkoa Southwest: 5.6
Spanish Navarra: 0
Basque Biscay: 14
French Bearn: 11.8
Iberia Argar Bastida: 4.6
sample: Custom:CRU013 ss.A0101
distance: 1.02
Bell Beaker: 0
Bell Beaker Bavaria: 0
Iberia SE BA Villena: 0
Iberia East IA: 18.6
French Occitanie: 0
Basque Navarre North: 8.6
Basque Gipuzkoa: 0
Iberia ElMiron: 0
Iberia Central CA Afr: 4.4
Basque Lower Navarre: 0
Basque Araba: 18.4
Bell Beaker Iberia: 14
Basque French: 13.4
Basque Spanish: 12
Basque Gipuzkoa Southwest: 8
Spanish Navarra: 2.6
Basque Biscay: 0
French Bearn: 0
Iberia Argar Bastida: 0
https://shared.genoplot.com/file/genofil...8e9ae9eb7e
Capsian20 likes this post
Posts: 20
Threads: 0
Joined: Oct 2023
Probably no autosomal data to get G25 coordinates but it would be quite interesting for some of us the medieval samples from Aldaieta necropolis from this paper:
Temporal Mitochondrial DNA Variation in the Basque Country: Influence of Post-Neolithic Events
Code: B3 - Aldaieta () M1 1350 Spain - North Iberia Early Middle Ages
B11 - Aldaieta I-M170 (I) 1350 Spain - North Iberia Early Middle Ages
B61 - Aldaieta I-M170 (I) K 1350 Spain - North Iberia Early Middle Ages
B84 - Aldaieta I-M170 (I) 1350 Spain - North Iberia Early Middle Ages
B4 - Aldaieta () M1 1350 Spain - North Iberia Early Middle Ages
B25 - Aldaieta R-M173 (R1) H/J 1350 Spain - North Iberia Early Middle Ages
B55 - Aldaieta R-M173 (R1) J 1350 Spain - North Iberia Early Middle Ages
B12 - Aldaieta R-M343 (R1b) U2 1350 Spain - North Iberia Early Middle Ages
B13 - Aldaieta R-M343 (R1b) U2 1350 Spain - North Iberia Early Middle Ages
B18 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B19 - Aldaieta R-M343 (R1b) T2 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 4) - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 5) - Aldaieta R-M343 (R1b) U5 1350 Spain - North Iberia Early Middle Ages
B44 - Aldaieta R-M343 (R1b) 1350 Spain - North Iberia Early Middle Ages
B56 - Aldaieta R-M343 (R1b) J 1350 Spain - North Iberia Early Middle Ages
B62 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B63 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B77 - Aldaieta R-M343 (R1b) T2 1350 Spain - North Iberia Early Middle Ages
B78 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B86 - Aldaieta R-M343 (R1b) U5 1350 Spain - North Iberia Early Middle Ages
B87 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B90 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B91 - Aldaieta R-M343 (R1b) 1350 Spain - North Iberia Early Middle Ages
B94 - Aldaieta R-M343 (R1b) 1350 Spain - North Iberia Early Middle Ages
B96 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B68 - Aldaieta R-M153 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B5 - Aldaieta () X 1350 Spain - North Iberia Early Middle Ages
B69 - Aldaieta (xR) H 1350 Spain - North Iberia Early Middle Ages
B76 - Aldaieta (xR) H 1350 Spain - North Iberia Early Middle Ages
B43 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B59 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B104 - Aldaieta () U5 1350 Spain - North Iberia Early Middle Ages
B16 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B20 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B24 - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B28 - Aldaieta () U2 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 1) - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 2) - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 3) - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B45 - Aldaieta () U2 1350 Spain - North Iberia Early Middle Ages
B46 - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B48 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B48-53 (individual 1) - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B48-53 (individual 2) - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B60 - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B64 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B65 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B66 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B70 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B71 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B73 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B75 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B79 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B85 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B89 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B92 - Aldaieta () T 1350 Spain - North Iberia Early Middle Ages
B93 - Aldaieta () V 1350 Spain - North Iberia Early Middle Ages
Posts: 149
Threads: 1
Joined: Oct 2023
(04-01-2024, 10:33 AM)corrigendum Wrote: An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers
Quote:Human culture, biology, and health were shaped dramatically by the onset of agriculture ∼12,000 y B.P. This shift is hypothesized to have resulted in increased individual fitness and population growth as evidenced by archaeological and population genomic data alongside a decline in physiological health as inferred from skeletal remains. Here, we consider osteological and ancient DNA data from the same prehistoric individuals to study human stature variation as a proxy for health across a transition to agriculture. Specifically, we compared “predicted” genetic contributions to height from paleogenomic data and “achieved” adult osteological height estimated from long bone measurements for 167 individuals across Europe spanning the Upper Paleolithic to Iron Age (∼38,000 to 2,400 B.P.). We found that individuals from the Neolithic were shorter than expected (given their individual polygenic height scores) by an average of −3.82 cm relative to individuals from the Upper Paleolithic and Mesolithic (P = 0.040) and −2.21 cm shorter relative to post-Neolithic individuals (P = 0.068), with osteological vs. expected stature steadily increasing across the Copper (+1.95 cm relative to the Neolithic), Bronze (+2.70 cm), and Iron (+3.27 cm) Ages. These results were attenuated when we additionally accounted for genome-wide genetic ancestry variation: for example, with Neolithic individuals −2.82 cm shorter than expected on average relative to pre-Neolithic individuals (P = 0.120). We also incorporated observations of paleopathological indicators of nonspecific stress that can persist from childhood to adulthood in skeletal remains into our model. Overall, our work highlights the potential of integrating disparate datasets to explore proxies of health in prehistory.
BAM files: https://www.ebi.ac.uk/ena/browser/view/PRJEB51250
Code: I14159; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>PF3233>Z6484>Z6284>FGC2315* (xZ12221,Y140837,PF3239)
I14161; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>FTA40859
I14163; 4300-4000 BC; Urziceni, Romania; Romania_CA; I2-Y3721>pre-Y3670
I15623; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2b-CTS342* (xY36001,PF4202,Z724,FGC12126)
I11665; 1500-800 BC; Felsődobsza-2. lelőhely, Hungary; Late Bronze Age; I2-Y3721>Y3670>L1229 (xS20743,Y6512,Z2069)
I11695; 1500-800 BC; Pácin-Alsókenderszer, Hungary; Late Bronze Age; R1b-Z2103>M12149 (xY4362,Z2110)
I11670; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; I2-L596>Y14158>S6635>S6724>pre-PF3885
I11674; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-U152>L2>Z49>BY96884* (xBY55682)
I11676; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-L51>L52>FT123498>BY44535* (xY289225)
Someone please tell me if all these were already done so I can remove them from my list
Posts: 619
Threads: 63
Joined: Sep 2023
Gender: Male
Ethnicity: Berber
Nationality: North Africa
Y-DNA (P): E-V257(×M81)
Y-DNA (M): V
mtDNA (P): L2b
(04-01-2024, 09:06 PM)Mokordo Wrote: Probably no autosomal data to get G25 coordinates but it would be quite interesting for some of us the medieval samples from Aldaieta necropolis from this paper:
Temporal Mitochondrial DNA Variation in the Basque Country: Influence of Post-Neolithic Events
Code: B3 - Aldaieta () M1 1350 Spain - North Iberia Early Middle Ages
B11 - Aldaieta I-M170 (I) 1350 Spain - North Iberia Early Middle Ages
B61 - Aldaieta I-M170 (I) K 1350 Spain - North Iberia Early Middle Ages
B84 - Aldaieta I-M170 (I) 1350 Spain - North Iberia Early Middle Ages
B4 - Aldaieta () M1 1350 Spain - North Iberia Early Middle Ages
B25 - Aldaieta R-M173 (R1) H/J 1350 Spain - North Iberia Early Middle Ages
B55 - Aldaieta R-M173 (R1) J 1350 Spain - North Iberia Early Middle Ages
B12 - Aldaieta R-M343 (R1b) U2 1350 Spain - North Iberia Early Middle Ages
B13 - Aldaieta R-M343 (R1b) U2 1350 Spain - North Iberia Early Middle Ages
B18 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B19 - Aldaieta R-M343 (R1b) T2 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 4) - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 5) - Aldaieta R-M343 (R1b) U5 1350 Spain - North Iberia Early Middle Ages
B44 - Aldaieta R-M343 (R1b) 1350 Spain - North Iberia Early Middle Ages
B56 - Aldaieta R-M343 (R1b) J 1350 Spain - North Iberia Early Middle Ages
B62 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B63 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B77 - Aldaieta R-M343 (R1b) T2 1350 Spain - North Iberia Early Middle Ages
B78 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B86 - Aldaieta R-M343 (R1b) U5 1350 Spain - North Iberia Early Middle Ages
B87 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B90 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B91 - Aldaieta R-M343 (R1b) 1350 Spain - North Iberia Early Middle Ages
B94 - Aldaieta R-M343 (R1b) 1350 Spain - North Iberia Early Middle Ages
B96 - Aldaieta R-M343 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B68 - Aldaieta R-M153 (R1b) H 1350 Spain - North Iberia Early Middle Ages
B5 - Aldaieta () X 1350 Spain - North Iberia Early Middle Ages
B69 - Aldaieta (xR) H 1350 Spain - North Iberia Early Middle Ages
B76 - Aldaieta (xR) H 1350 Spain - North Iberia Early Middle Ages
B43 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B59 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B104 - Aldaieta () U5 1350 Spain - North Iberia Early Middle Ages
B16 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B20 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B24 - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B28 - Aldaieta () U2 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 1) - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 2) - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B29-42 (individual 3) - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B45 - Aldaieta () U2 1350 Spain - North Iberia Early Middle Ages
B46 - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B48 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B48-53 (individual 1) - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B48-53 (individual 2) - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B60 - Aldaieta () J 1350 Spain - North Iberia Early Middle Ages
B64 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B65 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B66 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B70 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B71 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B73 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B75 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B79 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B85 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B89 - Aldaieta () H 1350 Spain - North Iberia Early Middle Ages
B92 - Aldaieta () T 1350 Spain - North Iberia Early Middle Ages
B93 - Aldaieta () V 1350 Spain - North Iberia Early Middle Ages
Thank you i see there only sample belong to mtDNA V back a Early Middle Ages , maybe its V22 or V25 ?
Target: CapsianWGS_scaled
Distance: 1.2510% / 0.01251049
37.2 Iberomaurusian
36.8 Early_European_Farmer
12.8 Early_Levantine_Farmer
8.0 Steppe_Pastoralist
4.8 SSA
0.4 Iran_Neolithic
FTDNA : 91% North Africa +<2% Bedouin + <2 Southern-Levantinfo + <1 Sephardic Jewish + 3% Malta + 3% Iberian Peninsula
23andME : 100% North Africa
WGS ( Y-DNA and mtDNA)
Y-DNA: E-A30032< A30480 ~1610 CE
mtDNA: V25b 800CE ? ( age mtDNA not accurate )
Posts: 271
Threads: 1
Joined: Oct 2023
(04-01-2024, 09:18 PM)ilabv Wrote: (04-01-2024, 10:33 AM)corrigendum Wrote: An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers
Quote:Human culture, biology, and health were shaped dramatically by the onset of agriculture ∼12,000 y B.P. This shift is hypothesized to have resulted in increased individual fitness and population growth as evidenced by archaeological and population genomic data alongside a decline in physiological health as inferred from skeletal remains. Here, we consider osteological and ancient DNA data from the same prehistoric individuals to study human stature variation as a proxy for health across a transition to agriculture. Specifically, we compared “predicted” genetic contributions to height from paleogenomic data and “achieved” adult osteological height estimated from long bone measurements for 167 individuals across Europe spanning the Upper Paleolithic to Iron Age (∼38,000 to 2,400 B.P.). We found that individuals from the Neolithic were shorter than expected (given their individual polygenic height scores) by an average of −3.82 cm relative to individuals from the Upper Paleolithic and Mesolithic (P = 0.040) and −2.21 cm shorter relative to post-Neolithic individuals (P = 0.068), with osteological vs. expected stature steadily increasing across the Copper (+1.95 cm relative to the Neolithic), Bronze (+2.70 cm), and Iron (+3.27 cm) Ages. These results were attenuated when we additionally accounted for genome-wide genetic ancestry variation: for example, with Neolithic individuals −2.82 cm shorter than expected on average relative to pre-Neolithic individuals (P = 0.120). We also incorporated observations of paleopathological indicators of nonspecific stress that can persist from childhood to adulthood in skeletal remains into our model. Overall, our work highlights the potential of integrating disparate datasets to explore proxies of health in prehistory.
BAM files: https://www.ebi.ac.uk/ena/browser/view/PRJEB51250
Code: I14159; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>PF3233>Z6484>Z6284>FGC2315* (xZ12221,Y140837,PF3239)
I14161; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2a-L91>FTA40859
I14163; 4300-4000 BC; Urziceni, Romania; Romania_CA; I2-Y3721>pre-Y3670
I15623; 4300-4000 BC; Urziceni, Romania; Romania_CA; G2a2b-CTS342* (xY36001,PF4202,Z724,FGC12126)
I11665; 1500-800 BC; Felsődobsza-2. lelőhely, Hungary; Late Bronze Age; I2-Y3721>Y3670>L1229 (xS20743,Y6512,Z2069)
I11695; 1500-800 BC; Pácin-Alsókenderszer, Hungary; Late Bronze Age; R1b-Z2103>M12149 (xY4362,Z2110)
I11670; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; I2-L596>Y14158>S6635>S6724>pre-PF3885
I11674; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-U152>L2>Z49>BY96884* (xBY55682)
I11676; 400 BC-100 AD; Kesznyéten-Szérűskert, Hungary; Iron Age_Scythian; R1b-L51>L52>FT123498>BY44535* (xY289225)
Someone please tell me if all these were already done so I can remove them from my list
Only the Neolithic samples have made it to G25, the others are missing.
VladMC and ilabv like this post
|