DNA of George Bähr (17th c. architect)

[Peterski]

He was born in year 1666 in Altenberg, Saxony (map):

https://www.nature.com/articles/s41598-018-20180-z#Fig2

https://en.wikipedia.org/wiki/George_B%C3%A4hr

https://s13.postimg.org/3rq1v4bzr/Screen_Hunter_2188_Feb._01_16.50.jpg

This PCA shows how he plots with modern populations:

https://www.nature.com/articles/s41598-018-20180-z/figures/2

Figure 2. - "PCA plot generated with EIGENSOFT31,32 with representative modern West-Eurasian populations. George Bähr is marked with a red triangle, clustering next to Central and Eastern European populations."

https://media.springernature.com/lw900/springer-static/image/art%3A10.1038%2Fs41598-018-20180-z/MediaObjects/41598_2018_20180_Fig2_HTML.jpg

[Peterski]

Autosomal coverage is not so bad (318 k SNPs):

"(...) Within the scope of this project, a complete mtDNA sequence from the skeletal remains of George Bähr and additionally a set of 317,990 SNPs from his autosomes were retrieved. Standard examination of characteristic damage patterns on the initial shotgun screening data and the mitochondrial capture data suggest an ancient origin for the investigated remains. Very low contamination estimates on mitochondrial and Y-Chromosomal level also showed that the retrieved DNA was authentic and no modern human contamination was found. George Bähr’s maternal haplogroup was determined to be H35 and the Y haplogroup was determined to be R1b1a2a1a2-P312, both commonly found in Central European modern populations. Based on phenotypic analysis, George Bähr had brown eyes, light skin pigmentation and was able to digest lactose in adulthood. The population genetic analysis of ancestry with both f3f3 and f4f4 statistics as well as an ADMIXTURE analysis on the set of 317,990 SNPs confirmed previous findings on the mitochondrial level: George Bähr was of Central European descent and shared no additional genetic components with populations outside Europe. Unfortunately, there is not much of a historic record on George Bähr’s private life. Thus any information that can be obtained on a genetic level that elucidates and enlarges information on him could be important, given his contributions to the history of the city of Dresden. (...)"

[Peterski]

PDF: https://www.nature.com/articles/s41598-018-20180-z.pdf

K7 Admixture graph: https://media.springernature.com/lw900/springer-static/image/art%3A10.1038%2Fs41598-018-20180-z/MediaObjects/41598_2018_20180_Fig4_HTML.jpg

https://media.springernature.com/lw900/springer-static/image/art%3A10.1038%2Fs41598-018-20180-z/MediaObjects/41598_2018_20180_Fig4_HTML.jpg

[Jana]

Figure 2. - "PCA plot generated with EIGENSOFT31,32 with representative modern West-Eurasian populations. George Bähr is marked with a red triangle, clustering next to Central and Eastern European populations."

https://media.springernature.com/lw900/springer-static/image/art%3A10.1038%2Fs41598-018-20180-z/MediaObjects/41598_2018_20180_Fig2_HTML.jpg[/QUOTE]

he cluster with Croats ?

[Ajeje Brazorf]

Germany_George_Bähr:BaehrAB__AD_1666__Cov_37.32%,0 .130897,0.140143,0.061471,0.031654,0.035083,0.0251 ,0.019741,0.00923,0.001636,0.004738,-0.001949,0.001199,-0.009366,-0.000963,-0.00095,0.008884,0.01004,0.009882,-0.000251,0.007128,0.005241,-0.001113,0.000739,0.002169,0.000359


Distance to: Germany_George_Bähr:BaehrAB__AD_1666__Cov_37.32%
0.02625481 Austrian:Austria16
0.02660970 French_Nord:N_36
0.02774988 German:German51
0.02821370 Austrian
0.02832682 German_Erlangen:GSM1658641
0.02862259 European:5443804115_R01C01
0.02895239 Hungary_Árpád_Béla_III:HU3B__AD_1148__Cov_95.34%
0.02946963 European:8324843130_R01C01
0.02963408 German_Erlangen:GSM1658658
0.02993862 Avar:MGS328
0.03030708 German:German40
0.03032969 Sudetenland_scaled
0.03033056 German_Erlangen
0.03038040 BelgianB:5434289051_R02C01
0.03038040 European:5434289051_R02C01
0.03047897 xerxez_half-sister_scaled
0.03055429 German_Erlangen:GSM1658665
0.03065494 Belgium_Sint-Truiden_EarlyLateMedieval:OLV050__AD_1000__Cov_82. 29%
0.03081892 Slovenian:Slovenian90
0.03087486 German
0.03100805 French_Alsace:A_8
0.03101760 BrandenburgGaming_scaled
0.03110919 Teutone_scaled
0.03114404 Rwilson98_scaled
0.03131093 magicalM_scaled
0.03172878 Kellebel_grandmother_scaled
0.03174196 CelticGerman_daughter1_scaled
0.03179562 German_Erlangen:GSM1658639
0.03182779 German_Erlangen:GSM1658616

[rothaer]

Autosomal coverage is not so bad (318 k SNPs):



Wow, it was he that built the Frauenkirche in Dresden.

Do you have the possibility to make a GEDmatch kit?!

[Peterski]

Do you have the possibility to make a GEDmatch kit?!

I think GEDmatch no longer accepts uploads of ancient DNA samples. There is an error when uploading such samples.

[Johnson Reed]

I think GEDmatch no longer accepts uploads of ancient DNA samples. There is an error when uploading such samples.

Are there any WHG, EEF, and Steppe samples on Gedmatch? I'd love to see Eurogenes K13 and K15 for them

[rothaer]

I think GEDmatch no longer accepts uploads of ancient DNA samples. There is an error when uploading such samples.

What a loss!

I know someone that uploaded Theo the pipe smoker but he got a special permission, I think.

https://en.wikipedia.org/wiki/Theo_the_Pipe_Smoker

He has GEDmatch # KF5520131.

Do you know whether a one-to-many or a one-to-one comparison can be performed offline with a tool?

[rothaer]

I think GEDmatch no longer accepts uploads of ancient DNA samples. There is an error when uploading such samples.

If you send me his GEDmatch compatible DNA raw data kit I can try to get him uploaded. In worst case I'd ask the same guy that uploaded Theo.

[Peterski]

If you send me his GEDmatch compatible DNA raw data kit I can try to get him uploaded. In worst case I'd ask the same guy that uploaded Theo.

I successfully uploaded Ladislaus the Saint (kit KJ9269628) but I think it was before GEDmatch changed its policy on ancient samples. I can prepare a GEDmatch compatible raw data for George Baehr.

[Peterski]

I sent the raw data file to Rothaer and he will try to upload it to GEDmatch.

George Baehr K36 results:

Amerindian 0
Arabian 0
Armenian 0
Basque 1.29
Central African 0
Central Euro 6.19
East African 0
East Asian 0
East Balkan 0
East Central Asian 0
East Central Euro 5.85
East Med 1.72
Eastern Euro 11.18
Fennoscandian 10.85
French 11.48
Iberian 16.77
Indo-Chinese 0
Italian 8.4
Malayan 0
Near Eastern 0
North African 0.06
North Atlantic 7.61
North Caucasian 0
North Sea 13.56
Northeast African 0
Oceanian 0
Omotic 0
Pygmy 0
Siberian 0
South Asian 0
South Central Asian 0
South Chinese 0
Volga-Ural 0.27
West African 0
West Caucasian 3.3
West Med 1.46

[rothaer]

I sent the raw data file to Rothaer and he will try to upload it to GEDmatch.

George Baehr K36 results:
(...)

QT7936073

It worked but I only could get him as a research kit. Everyone should be able to perform a One-to-one comparison. But he's not in the One-to-many function/database.

But I'll ask the guy I know if he will get him in fully functional.

[Peterski]

Eurogenes EUtest V2 K15 Oracle results:
Kit QT7936073

Admix Results (sorted):

# Population Percent
1 North_Sea 30.08
2 Atlantic 21.26
3 Baltic 13.97
4 Eastern_Euro 12.13
5 West_Med 10.38
6 West_Asian 7.18
7 East_Med 4.39
8 Sub-Saharan 0.6

Single Population Sharing:

# Population (source) Distance
1 East_German 5.39
2 West_German 6.46
3 South_Dutch 6.89
4 North_German 7.74
5 Hungarian 8.73
6 Austrian 9.69
7 Danish 9.95
8 North_Dutch 10.04
9 Southwest_English 10.21
10 French 10.35
11 Swedish 10.61
12 Norwegian 10.69
13 Southeast_English 10.73
14 North_Swedish 10.83
15 Irish 11.83
16 West_Scottish 12.23
17 Southwest_Finnish 12.35
18 Serbian 12.53
19 West_Norwegian 12.82
20 Orcadian 13.09

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.1% Orcadian + 47.9% Moldavian @ 2.48
2 55.6% East_German + 44.4% West_German @ 2.59
3 78.1% West_German + 21.9% Ukrainian_Belgorod @ 2.8
4 58.7% Southwest_English + 41.3% Moldavian @ 2.96
5 78.3% West_German + 21.7% Southwest_Russian @ 2.98
6 72.6% West_German + 27.4% South_Polish @ 3.01
7 77.6% West_German + 22.4% Russian_Smolensk @ 3.02
8 60.9% Norwegian + 39.1% Romanian @ 3.1
9 57.4% Southeast_English + 42.6% Moldavian @ 3.11
10 65.2% Norwegian + 34.8% Bulgarian @ 3.12
11 74.8% West_German + 25.2% Polish @ 3.16
12 50.6% Serbian + 49.4% West_Norwegian @ 3.17
13 54.3% Norwegian + 45.7% Serbian @ 3.17
14 59.2% North_Dutch + 40.8% Moldavian @ 3.2
15 79.4% West_German + 20.6% Estonian_Polish @ 3.23
16 70% West_German + 30% Croatian @ 3.27
17 56.2% West_Norwegian + 43.8% Romanian @ 3.28
18 74.2% West_German + 25.8% Ukrainian @ 3.34
19 53.9% West_Scottish + 46.1% Moldavian @ 3.34
20 54.5% Hungarian + 45.5% Southwest_English @ 3.34