Paternal Grandfather DNA results Thread

[Beowulf]

https://i.postimg.cc/GmB7JT5Q/Screenshot-2024-01-18-22-52-34.png (https://postimages.org/)


In this thread i will post all his results from both MH and Gedmatch


By Disgrace he died recently RIP. He was really hyped to know his DNA results the last year he used to do some jokes about what he would get :(

So i will make a thread for him first on his honor.

I calculate that at the end of this month his results will be ready.

[Figaro]

RIP to your grandfather, Beowulf. It really is a shame he couldn't see his results, but it's cool you have this thread open in his honor. Looking forward to seeing part of the input that went into making the blend we know today as Beowulf from TA.

[Flashball]

Ton grand-père paternel vit en toi, Beowulf.

Il est de quelle origine déjà ?

[Beowulf]

Ton grand-père paternel vit en toi, Beowulf.

Il est de quelle origine déjà ?

Il était originaire d'Andalousie, Iznatoraf, Jaén


Sa lignée paternelle était originaire d'Aragon, même s'il y avait pas mal de Français. Son grand-père paternel était à moitié français, avec une mère occitane du nom de Delhomme.

Son côté maternel est très inconnu mais ils étaient originaires d'Iznatoraf et d'un possible Basque.

[Flashball]

Il était originaire d'Andalousie, Iznatoraf, Jaén


Sa lignée paternelle était originaire d'Aragon, même s'il y avait pas mal de Français. Son grand-père paternel était à moitié français, avec une mère occitane du nom de Delhomme.

Son côté maternel est très inconnu mais ils étaient originaires d'Iznatoraf et d'un possible Basque.

Quand je dis "de quelle origine" j'entends origines généalogiques

Donc il serait andalou + aragonais + basque + français ?

[Beowulf]

Quand je dis "de quelle origine" j'entends origines généalogiques

Donc il serait andalou + aragonais + basque + français ?

Oui, ce que j'ai mentionné, c'est sa généalogie.


serait andalou, aragonais, français et éventuellement basque

[Feiichy]

Really cool way to honor your grandpa. May he rest in peace!

[JerryS.]

The best thing we can do for the deceased is to remember them by talking about them to the next generation...

[Beowulf]

Only a couple of days more

https://i.postimg.cc/fbTSDvDX/Screenshot-2024-01-24-00-49-48.png (https://postimages.org/)

[Beowulf]

Guys Is FInally Here!!!!

[Beowulf]

https://i.postimg.cc/sfQXTKzm/Screenshot-2024-01-26-15-22-41.png (https://postimages.org/)


hahaha funny results for sure!!1!

[eastern]

Accurate, or?

[Beowulf]

Accurate, or?

With MH(except the DNA matches wich are good as usual) not so much but i'm uploading already his raw data to Gedmatch and other places :tongue

[Beowulf]

Simulated G25 Coordinates:

Abuelo_Bartolome,0.111376,0.131190,0.036391,0.0054 42,0.035213,-0.000324,0.001830,0.001529,0.015770,0.025641,-0.002141,0.008011,-0.013812,-0.012264,0.005756,-0.000846,-0.000524,-0.000091,-0.003125,-0.002423,0.000659,0.003084,-0.003363,-0.005343,-0.000336

[Beowulf]

Dodecad K12b Mixed Mode:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

92.5%
Extremadura (1000Genomes)
+
7.5%
Mordovians (Yunusbayev)
@
1.83


2

92.6%
Extremadura (1000Genomes)
+
7.4%
Russian (HGDP)
@
1.87


3

86.3%
Extremadura (1000Genomes)
+
13.7%
German (Dodecad)
@
1.94


4

93.3%
Extremadura (1000Genomes)
+
6.7%
FIN30 (1000Genomes)
@
1.95


5

83.4%
Portuguese (Dodecad)
+
16.6%
Mixed_Germanic (Dodecad)
@
1.96


6

93.5%
Extremadura (1000Genomes)
+
6.5%
Finnish (Dodecad)
@
1.99


7

93.3%
Extremadura (1000Genomes)
+
6.7%
Lithuanian (Dodecad)
@
1.99


8

92.1%
Extremadura (1000Genomes)
+
7.9%
Mixed_Slav (Dodecad)
@
2


9

92.7%
Extremadura (1000Genomes)
+
7.3%
Russian_B (Behar)
@
2.01


10

93.6%
Extremadura (1000Genomes)
+
6.4%
Lithuanians (Behar)
@
2.02


11

91.7%
Extremadura (1000Genomes)
+
8.3%
Polish (Dodecad)
@
2.06


12

92.6%
Extremadura (1000Genomes)
+
7.4%
Belorussian (Behar)
@
2.06


13

92%
Extremadura (1000Genomes)
+
8%
Ukranians (Yunusbayev)
@
2.09


14

86.4%
Portuguese (Dodecad)
+
13.6%
German (Dodecad)
@
2.1


15

83.8%
Extremadura (1000Genomes)
+
16.2%
Mixed_Germanic (Dodecad)
@
2.1


16

89.5%
Extremadura (1000Genomes)
+
10.5%
Swedish (Dodecad)
@
2.13


17

88.2%
Extremadura (1000Genomes)
+
11.8%
Hungarians (Behar)
@
2.14


18

84.6%
Portuguese (Dodecad)
+
15.4%
Dutch (Dodecad)
@
2.21


19

75.6%
Portuguese (Dodecad)
+
24.4%
French (Dodecad)
@
2.22


20

84.8%
Extremadura (1000Genomes)
+
15.2%
Dutch (Dodecad)
@
2.23



</tbody>

[JerryS.]

Dodecad K12b Mixed Mode:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

92.5%
Extremadura (1000Genomes)
+
7.5%
Mordovians (Yunusbayev)
@
1.83


2

92.6%
Extremadura (1000Genomes)
+
7.4%
Russian (HGDP)
@
1.87


3

86.3%
Extremadura (1000Genomes)
+
13.7%
German (Dodecad)
@
1.94


4

93.3%
Extremadura (1000Genomes)
+
6.7%
FIN30 (1000Genomes)
@
1.95


5

83.4%
Portuguese (Dodecad)
+
16.6%
Mixed_Germanic (Dodecad)
@
1.96


6

93.5%
Extremadura (1000Genomes)
+
6.5%
Finnish (Dodecad)
@
1.99


7

93.3%
Extremadura (1000Genomes)
+
6.7%
Lithuanian (Dodecad)
@
1.99


8

92.1%
Extremadura (1000Genomes)
+
7.9%
Mixed_Slav (Dodecad)
@
2


9

92.7%
Extremadura (1000Genomes)
+
7.3%
Russian_B (Behar)
@
2.01


10

93.6%
Extremadura (1000Genomes)
+
6.4%
Lithuanians (Behar)
@
2.02


11

91.7%
Extremadura (1000Genomes)
+
8.3%
Polish (Dodecad)
@
2.06


12

92.6%
Extremadura (1000Genomes)
+
7.4%
Belorussian (Behar)
@
2.06


13

92%
Extremadura (1000Genomes)
+
8%
Ukranians (Yunusbayev)
@
2.09


14

86.4%
Portuguese (Dodecad)
+
13.6%
German (Dodecad)
@
2.1


15

83.8%
Extremadura (1000Genomes)
+
16.2%
Mixed_Germanic (Dodecad)
@
2.1


16

89.5%
Extremadura (1000Genomes)
+
10.5%
Swedish (Dodecad)
@
2.13


17

88.2%
Extremadura (1000Genomes)
+
11.8%
Hungarians (Behar)
@
2.14


18

84.6%
Portuguese (Dodecad)
+
15.4%
Dutch (Dodecad)
@
2.21


19

75.6%
Portuguese (Dodecad)
+
24.4%
French (Dodecad)
@
2.22


20

84.8%
Extremadura (1000Genomes)
+
15.2%
Dutch (Dodecad)
@
2.23



</tbody>

What's his Dodcad V3?

[Beowulf]

What's his Dodcad V3?



<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

82.5%
Portuguese (Dodecad)
+
17.5%
Urkarah (Xing)
@
4.11


2

80.4%
Portuguese (Dodecad)
+
19.6%
Stalskoe (Xing)
@
4.46


3

87.1%
Portuguese (Dodecad)
+
12.9%
Lezgins (Behar)
@
4.58


4

68.4%
Portuguese (Dodecad)
+
31.6%
Slovenian (Xing)
@
4.71


5

73.1%
French (Dodecad)
+
26.9%
Sephardic_Jews (Behar)
@
5.04


6

70.3%
French (Dodecad)
+
29.7%
Sicilian (Dodecad)
@
5.07


7

87.1%
Portuguese (Dodecad)
+
12.9%
Adygei (HGDP)
@
5.19


8

70.6%
French (Dodecad)
+
29.4%
Morocco_Jews (Behar)
@
5.22


9

70.2%
French (HGDP)
+
29.8%
Sicilian (Dodecad)
@
5.38


10

77.2%
French (HGDP)
+
22.8%
North_African (Dodecad)
@
5.41


11

73%
French (HGDP)
+
27%
Sephardic_Jews (Behar)
@
5.44


12

72%
French (Dodecad)
+
28%
S_Italian (Dodecad)
@
5.51


13

50.1%
French (Dodecad)
+
49.9%
Tuscan (Xing)
@
5.52


14

69.8%
French (Dodecad)
+
30.2%
S_Italian_Sicilian (Dodecad)
@
5.55


15

66.4%
N_Italian (Dodecad)
+
33.6%
N._European (Xing)
@
5.63


16

57.2%
French (Dodecad)
+
42.8%
O_Italian (Dodecad)
@
5.64


17

72.1%
Portuguese (Dodecad)
+
27.9%
Hungarians (Behar)
@
5.66


18

52%
Tuscan (HGDP)
+
48%
N._European (Xing)
@
5.69


19

70.6%
French (HGDP)
+
29.4%
Greek (Dodecad)
@
5.72


20

50.2%
CEU (HapMap)
+
49.8%
Tuscan (HGDP)
@
5.75



</tbody>

More weird imo.

[mariadocarmo]

https://i.postimg.cc/sfQXTKzm/Screenshot-2024-01-26-15-22-41.png (https://postimages.org/)


hahaha funny results for sure!!1!

Enhorabuena!

What do you think?

[Beowulf]

Enhorabuena!

What do you think?

Hi Thank you Maria, well his My Heritage results aren't the best thing but well now i uploaded his raw data to different sites to make his simulated G25 coords and for Gedmatch calculators, but what i love as usual is the DNA matches database from My Heritage that i will check it deeply these incoming days.

[mariadocarmo]

Send me on private his GEDmatch, please.

[Beowulf]

bump

[Tie red]

Interesting pull in direction of North Russia / Urals. Is it normal variation/pull for a south western Euro or indicative of genuine minor recent ancestry from there ? What about his DNA matches ?

[Beowulf]

Interesting pull in direction of North Russia / Urals. Is it normal variation/pull for a south western Euro or indicative of genuine minor recent ancestry from there ? What about his DNA matches ?

I don't think is a common shift for southwestern europeans also i was checking his matches he got very few in general he have some 3 matches from Finland but those are very distant he also have some in sweden but those are very distant too. the closest matches he have are spanish and french people wich makes sense with his known ancestry although there is a part of his tree that is very unknown still.

[JerryS.]

<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

82.5%
Portuguese (Dodecad)
+
17.5%
Urkarah (Xing)
@
4.11


2

80.4%
Portuguese (Dodecad)
+
19.6%
Stalskoe (Xing)
@
4.46


3

87.1%
Portuguese (Dodecad)
+
12.9%
Lezgins (Behar)
@
4.58


4

68.4%
Portuguese (Dodecad)
+
31.6%
Slovenian (Xing)
@
4.71


5

73.1%
French (Dodecad)
+
26.9%
Sephardic_Jews (Behar)
@
5.04


6

70.3%
French (Dodecad)
+
29.7%
Sicilian (Dodecad)
@
5.07


7

87.1%
Portuguese (Dodecad)
+
12.9%
Adygei (HGDP)
@
5.19


8

70.6%
French (Dodecad)
+
29.4%
Morocco_Jews (Behar)
@
5.22


9

70.2%
French (HGDP)
+
29.8%
Sicilian (Dodecad)
@
5.38


10

77.2%
French (HGDP)
+
22.8%
North_African (Dodecad)
@
5.41


11

73%
French (HGDP)
+
27%
Sephardic_Jews (Behar)
@
5.44


12

72%
French (Dodecad)
+
28%
S_Italian (Dodecad)
@
5.51


13

50.1%
French (Dodecad)
+
49.9%
Tuscan (Xing)
@
5.52


14

69.8%
French (Dodecad)
+
30.2%
S_Italian_Sicilian (Dodecad)
@
5.55


15

66.4%
N_Italian (Dodecad)
+
33.6%
N._European (Xing)
@
5.63


16

57.2%
French (Dodecad)
+
42.8%
O_Italian (Dodecad)
@
5.64


17

72.1%
Portuguese (Dodecad)
+
27.9%
Hungarians (Behar)
@
5.66


18

52%
Tuscan (HGDP)
+
48%
N._European (Xing)
@
5.69


19

70.6%
French (HGDP)
+
29.4%
Greek (Dodecad)
@
5.72


20

50.2%
CEU (HapMap)
+
49.8%
Tuscan (HGDP)
@
5.75



</tbody>

More weird imo.

Those Dodecad distances are terrible.

[Beowulf]

Those Dodecad distances are terrible.

Indeed they are.

[rothaer]

https://i.postimg.cc/sfQXTKzm/Screenshot-2024-01-26-15-22-41.png (https://postimages.org/)


hahaha funny results for sure!!1!

1.1% Nigeria is a widespread MyHeritage bug that they don't care to fix for years.

[Beowulf]

Interesting pull in direction of North Russia / Urals. Is it normal variation/pull for a south western Euro or indicative of genuine minor recent ancestry from there ? What about his DNA matches ?

Edit from my first post to you:

I was now watching at his gedmatch matches and some of the first ones are Russians wich i found it curious.

[Beowulf]

1.1% Nigeria is a widespread MyHeritage bug that they don't care to fix for years.

Oh yeah i know i have seen it in multiple DNA results videos.

[rothaer]

Oh yeah i know i have seen it in multiple DNA results videos.

Yeah.

Congrats btw. With that test you have saved notable information from getting lost forever.

[Beowulf]

Yeah.

Congrats btw. With that test you have saved notable information from getting lost forever.

Thank you i'm very happy with this :)

[Tie red]

Ho nice, maybe there is something with Russia. Long segments or not ? Within Pile-up regions or not ?

[Beowulf]

Ho nice, maybe there is something with Russia. Long segments or not ? Within Pile-up regions or not ?


what's that if i may ask?

and yea more or less quite long segments.

[Mortimer]

May your grandfather rest in peace its good to honor him

[Beowulf]

May your grandfather rest in peace its good to honor him

thank you a lot mortimer!

[rothaer]

I don't think is a common shift for southwestern europeans also i was checking his matches he got very few in general he have some 3 matches from Finland but those are very distant he also have some in sweden but those are very distant too. the closest matches he have are spanish and french people wich makes sense with his known ancestry although there is a part of his tree that is very unknown still.

The matching function at MyH is very poor with incredible much flaws. You simply MUST upload the data to GEDmatch for comparing there. Admittedly, there are less participants. But only there the matching is transparent.

[Beowulf]

The matching function at MyH is very poor with incredible much flaws. You simply MUST upload the data to GEDmatch for comparing there. Admittedly, there are less participants. But only there the matching is transparent.

To be honest the DNA matching database from MH was super useful for my family tree (but my grandpa is the one with less mathces in general there compared with my family) but hey also uploaded it to gedmatch as i mentioned in some posts here, my grandpa got some russian macthes in gedmatch.

[Tie red]

what's that if i may ask?

and yea more or less quite long segments.

https://isogg.org/wiki/Identical_by_descent#Excess_IBD_sharing

"There are some regions of the genome that are prone to excess IBD sharing. These regions are known colloquially as pile-up regions."

"They concluded that these regions of identical DNA were likely to be attributed to a shared ethnic history rather than recent common ancestry."

For example my mother and I, we match dozens of east-euro/finnish individual on the pile-up region of chr10 from 44 mb to 55 mb wether it is at 23andme,MH or ftdna.

Well known pile-up region in table below :

https://isogg.org/wiki/Identical_by_descent#/media/File:Table_3_start_and_stop_positions.jpg

[Beowulf]

https://isogg.org/wiki/Identical_by_descent#Excess_IBD_sharing

"There are some regions of the genome that are prone to excess IBD sharing. These regions are known colloquially as pile-up regions."

"They concluded that these regions of identical DNA were likely to be attributed to a shared ethnic history rather than recent common ancestry."

For example my mother and I, we match dozens of east-euro/finnish individual on the pile-up region of chr10 from 44 mb to 55 mb wether it is at 23andme,MH or ftdna.

Well known pile-up region in table below :

https://isogg.org/wiki/Identical_by_descent#/media/File:Table_3_start_and_stop_positions.jpg

Interesting how can i use it?

[rothaer]

To be honest the DNA matching database from MH was super useful for my family tree (but my grandpa is the one with less mathces in general there compared with my family) but hey also uploaded it to gedmatch as i mentioned in some posts here, my grandpa got some russian macthes in gedmatch.

How many SNPs did the best (biggest) segment get (visible in the decisive One-to-one comparison)? If you don't use phased data you should have 700 SNPs as a threshold for assuming a match to be real (and not a zigzag match).

[Beowulf]

How many SNPs did the best (biggest) segment get (visible in the decisive One-to-one comparison)? If you don't use phased data you should have 700 SNPs as a threshold for assuming a match to be real (and not a zigzag match).

for the closest one is 70.604 SNP's

for the largest segment is 820 SNP's

[JerryS.]

Indeed they are.

It's odd because they seem reasonable for my 1st cousin and I. Then again she and I are majority North Sea with minority Mediterranean. Maybe the differences between the two regions is why it works for us.

[rothaer]

for the closest one is 70.604 SNP's

for the largest segment is 820 SNP's

Do you speak of what is displayed at GEDmatch One-to-one as I referred to?

Because if you are referring to MyHeritage you should know that they do impute a lot of SNPs and then have much more SNPs reported including their own guess-work SNPs.

[Beowulf]

Do you speak of what is displayed at GEDmatch One-to-one as I referred to?

Because if you are referring to MyHeritage you should know that they do impute a lot of SNPs and then have much more SNPs reported including their own guess-work SNPs.

Yes i do

[gixajo]

Yes i do

Can you post his Eurogenes k13?

[Beowulf]

Can you post his Eurogenes k13?


<tbody style="box-sizing: border-box;">
Population



North_Atlantic
38.56 Pct


Baltic
10.61 Pct


West_Med
27.35 Pct


West_Asian
4.84 Pct


East_Med
11.18 Pct


Red_Sea
2.39 Pct


South_Asian
1.61 Pct


East_Asian
-


Siberian
0.3 Pct


Amerindian
-


Oceanian
0.64 Pct


Northeast_African
1.38 Pct


Sub-Saharan
1.13 Pct




</tbody>

[gixajo]

[TABLE]
E]


Beowulf_grandparent,38.56,10.61,27.35,4.84,11.18,2 .39,1.61,0,0.3,0,0.64,1.38,1.13


Amazonian,0.00,0.01,0.00,0.00,0.00,0.00,0.01,0.32, 0.02,99.62,0.00,0.01,0.01
Arabic,0.17,0.18,5.91,10.01,42.83,34.20,1.72,0.34, 0.09,0.11,0.19,4.08,0.17
Aboriginal_Australian,0,0,0,0,0,0,14.73,11.06,4.79 ,0.2,65.9,3.33,0
Balkanic_Roma,9.73,9.53,12.55,16.84,18.44,2.86,26. 43,1.28,0.92,0.27,0.61,0.45,0.09
British_Isles,52.43,22.93,12.62,6.82,1.44,0.50,1.4 0,0.16,0.28,0.80,0.29,0.14,0.13
Central_Baltic,26.53,59.03,6.85,2.64,0.87,0.36,1.2 2,0.18,0.73,0.87,0.37,0.05,0.31
Central_Caucasian,3.72,5.52,10.13,52.14,21.85,3.22 ,1.80,0.65,0.37,0.42,0.12,0.03,0.03
Central_French,42.40,18.28,20.55,4.81,9.80,1.59,0. 49,0.26,0.36,0.46,0.37,0.38,0.24
Central_Italian,25.25,9.35,24.03,11.35,25.14,3.6,0 .33,0.2,0.12,0.25,0.18,0.14,0.06
Central_Iranian,3.29,4.79,3.67,39.54,25.33,5.16,15 .06,0.17,1.02,0.62,0.51,0.37,1.89
Central_Maghrebian,13.95,0.61,24.25,0.00,27.47,14. 21,0.00,0.31,0.12,0.10,0.39,8.89,9.66
Central_Mediterranean_(Corsican),26.74,9.01,28.48, 6.84,23.99,3.65,0.18,0.18,0.21,0.17,0.45,0.1,0
Central_Mediterranean_(Sardinian),23.14,1.64,49.58 ,0.38,22.02,2.41,0,0.13,0.03,0,0.31,0.26,0.1
Central_Russian,25.04,49.54,9.31,5.95,1.48,1.02,1. 12,0.10,3.82,1.42,0.39,0.66,0.16
Central_African_Hunter_Gatherer_(Hadza),0.41,0.32, 0.01,0.97,0.14,1.32,2.66,0.05,0.25,0.12,0.55,61.84 ,31.36
Central_African_Hunter_Gatherer_(Mbuti),0.00,0.00, 0.00,0.00,0.00,0.00,0.00,0.01,0.00,0.01,0.14,33.21 ,66.64
Central_African_Hunter_Gatherer_(Sandawe),0.15,0.0 6,0.73,0.04,7.61,5.09,0.15,0.28,0.10,0.02,0.49,48. 50,36.79
Crimean_Tatar,13.17,20.04,7.55,16.36,8.88,1.83,3.2 3,10.25,16.40,1.28,0.47,0.27,0.21
East_African_(Aari),0.43,0.14,0.32,1.97,2.23,9.70, 1.41,0.23,0.53,0.20,0.37,74.12,8.35
East_African_(Amhara),0.07,0.01,0.77,0.04,21.14,26 .79,0.03,0.14,0.02,0.17,0.21,47.07,3.55
East_African_(Gumuz),0.00,0.00,0.00,0.01,0.00,0.01 ,0.78,0.51,0.30,0.10,0.41,72.20,25.69
East_African_(Oromo),0.04,0.00,1.16,0.05,14.96,21. 12,0.02,0.73,0.00,0.05,0.10,54.95,6.82
East_African_(Somali),0.01,0.00,1.40,0.00,11.03,24 .66,0.00,0.08,0.13,0.07,0.04,56.35,6.23
East_African_(Welayta),0.60,0.01,0.43,0.08,13.09,1 9.47,0.07,0.49,0.30,0.19,0.16,59.32,5.79
East_Alpine,36.84,27.27,15.90,7.36,9.10,1.32,0.60, 0.23,0.48,0.27,0.41,0.06,0.10
East_Balkanic,21.80,24.15,17.82,11.65,19.51,2.40,0 .53,0.42,0.77,0.38,0.33,0.11,0.08
East_Greenlandic,0.02,3.27,0.00,0.11,0.00,0.01,2.0 0,7.51,44.32,42.38,0.30,0.01,0.07
East_Iberian,41.36,12.13,25.78,3.08,13.09,1.51,0.6 9,0.59,0.06,0.06,0.43,0.45,0.77
East_Levantine,2.66,2.3,8.46,28.81,33.63,11.82,6.8 3,0.61,0.88,0.37,0.27,2.54,0.81
East_Maghrebian,6.27,0.45,16.18,1.23,31.33,22.97,0 .17,0.57,0.54,0.38,0.36,10.54,9.00
East_Mediterranean_(Crete),13.22,9.49,20.29,17.33, 32.47,5.12,0.27,0.24,0.20,0.15,0.60,0.47,0.16
East_Mediterranean_(Cypriot),5.67,2.81,19.86,20.34 ,41.08,8.12,0.5,0.07,0.23,0,0.47,0.3,0.54
East_Siberian,0.56,3.45,1.61,1.67,0.21,0.56,1.13,1 5.25,74.19,0.52,0.67,0.17,0.01
East_Turkish,5.37,4.44,10.98,35.86,29.82,4.02,4.85 ,1.19,2.15,0.61,0.25,0.3,0.13
East_Uralic,5.65,31.35,0.00,3.55,0.00,0.00,4.34,0. 83,47.59,6.01,0.56,0.00,0.10
East-South_Asian,0.00,0.00,0.01,0.00,0.00,0.00,69.42,24 .77,0.18,0.08,4.28,0.68,0.58
East-Southeast_Asian,0.05,1.24,0.02,0.14,0.05,0.24,5.11 ,86.45,5.20,0.16,1.06,0.16,0.12
Eastcentral_African_(Luhya),0.19,0.09,0.06,0.15,0. 08,0.70,0.15,0.25,0.04,0.02,0.28,25.17,72.81
Eastcentral_African_(Maasai),0.23,0.09,0.62,0.14,2 .81,11.37,0.02,0.05,0.05,0.05,0.45,53.34,30.78
Eastcentral_Asian_(Kirgiz),5.81,7.94,1.15,12.69,2. 05,0.34,4.21,24.46,37.76,2.56,0.91,0.04,0.08
Eastcentral_Asian_(Uygur),7.18,9.70,0.87,18.93,4.6 6,0.18,10.42,24.33,20.48,2.35,0.42,0.26,0.21
Eastcentral_European,32.33,37.42,11.45,5.60,8.50,1 .59,1.15,0.44,0.51,0.91,0.00,0.05,0.06
Finnish,34.17,47.69,4.43,2.21,0.65,0.42,0.53,0.96, 6.48,0.90,0.81,0.50,0.26
Japanese,0.01,0.00,0.01,0.00,0.02,0.01,0.22,65.93, 31.72,0.83,0.62,0.32,0.30
Jew_(Ashkenazi),16.48,8.34,18.39,10.85,36.34,5.86, 0.10,0.85,1.05,0.21,0.27,0.89,0.39
Jew_(Sephardi),15.63,1.81,19.83,13.04,36.91,8.90,0 .61,0.38,0.78,0.00,0.33,1.12,0.65
Mesoamerican,1.71,0.40,5.07,0.10,0.18,0.17,0.09,1. 09,2.53,86.31,0.26,0.32,1.78
Mongolian,2.93,4.38,1.13,7.15,1.42,0.54,1.22,30.75 ,48.10,1.67,0.58,0.05,0.08
Nogai,9.25,13.23,6.43,31.31,10.06,0.46,2.77,9.16,1 5.03,1.24,0.51,0.34,0.21
North_Baltic,32.93,50.58,6.76,2.45,0.57,0.09,0.95, 0.05,3.51,1.35,0.61,0.04,0.09
North_Iberian,41.79,11.49,29.27,1.75,10.20,2.37,0. 45,0.03,0.13,0.49,0.47,0.80,0.75
North_Italian,29.74,11.92,24.60,7.93,21.74,2.90,0. 26,0.26,0.05,0.22,0.22,0.12,0.05
North_Levantine_(Alawite),5.95,1.56,13.93,24.33,39 .43,9.69,1.82,0.42,0.76,0.21,0.35,1.28,0.23
North_Levantine_(Assyrian),1.47,1.33,11.83,32.9,39 .46,8.42,3.47,0.22,0.16,0.14,0.31,0.21,0.07
North_Levantine_(Syrian),3.40,0.83,13.31,21.61,37. 83,13.75,3.44,0.23,0.19,0.24,0.48,2.93,1.77
North_Maghrebian,9.41,1.02,22.23,0.71,30.54,14.99, 0.01,0.26,0.35,0.00,0.39,9.20,10.88
North_Native_American,0.00,1.64,0.00,0.01,0.00,0.0 1,1.03,1.61,21.97,73.72,0.02,0.00,0.00
North_Russian,26.52,49.43,5.57,4.65,1.14,0.51,0.99 ,0.44,8.60,1.19,0.47,0.17,0.34
North_Siberian_(Evenk),0.26,4.32,0.37,0.52,0.20,0. 12,0.44,11.82,79.19,1.34,1.21,0.11,0.11
North_Siberian_(Selkup),1.71,25.06,0.00,3.81,0.00, 0.00,2.68,0.95,59.32,6.05,0.40,0.00,0.02
North-South_Asian_(Burusho),2.50,8.83,0.01,37.09,0.22,0. 04,36.76,5.04,6.21,2.26,0.33,0.24,0.47
North-South_Asian_(Jat),7.52,10.46,0.07,35.03,0.74,0.59, 43.04,0.07,0.41,1.30,0.33,0.07,0.38
North-Southeast_Asian,0.32,0.81,1.02,0.70,0.54,0.31,18.3 9,60.71,13.69,0.79,1.64,0.24,0.84
Northcentral_Asian,7.42,11.87,1.47,12.28,0.99,0.86 ,3.34,22.47,36.11,2.22,0.91,0.05,0.03
Northcentral_Caucasian,10.14,15.25,4.48,46.45,13.1 1,1.36,3.47,1.34,1.73,1.32,1.05,0.18,0.12
Northeast_African_(Egyptian),3.00,0.09,11.72,7.86, 39.56,18.84,0.09,0.14,0.30,0.10,0.23,11.83,6.24
Northeast_African_(Sudanese),0.00,0.00,0.00,0.00,0 .00,0.00,0.01,0.00,0.00,0.00,0.00,57.81,42.16
Northeast_Caucasian,14.40,16.11,1.05,49.59,8.76,0. 69,5.74,0.06,1.74,1.37,0.27,0.02,0.19
Northeast_German,39.63,38.09,9.56,4.92,3.95,1.05,1 .04,0.29,0.03,0.27,0.29,0.63,0.25
Northeast_Turkish,2,2.18,14.83,40.78,33.76,2.4,1.8 1,0.76,0.89,0.12,0.38,0,0
Northeast_Siberian_(Chukchi),0.02,3.65,0.00,0.05,0 .00,0.00,1.28,8.84,60.79,24.71,0.65,0.00,0.00
Northeast_Siberian_(Koryak),0.02,3.90,0.00,0.24,0. 00,0.00,0.93,10.91,66.39,17.42,0.16,0.00,0.02
Northeast-East_Asian,0.62,0.29,0.30,1.72,0.85,0.14,0.12,55.6 1,39.46,0.35,0.26,0.25,0.04
Northeast-South_Asian,2.38,4.43,0.93,18.87,0.54,0.25,58.19,8 .99,2.54,0.76,1.71,0.02,0.40
Northwest_Caucasian,6.38,12.14,7.88,47.22,16.97,1. 95,2.79,1.08,2.58,0.80,0.13,0.05,0.03
Northwest_Iranian,4,2.22,7.31,39.88,31.03,4.36,9.2 9,0,0.99,0.19,0,0.03,0.54
Northwest-South_Asian_(Baloch),2.96,3.55,0.24,53.45,5.02,3.1 5,29.58,0.00,0.17,0.63,0.04,0.32,0.90
Northwest-South_Asian_(Pashtun),3.25,10.13,0.23,37.28,4.70,0 .50,39.03,0.27,2.24,1.74,0.17,0.09,0.39
Northwest-South_Asian_(Sindhi),3.30,3.82,0.06,39.57,3.85,0.5 1,45.20,0.17,0.58,1.41,0.43,0.48,0.62
Northwest_German,48.78,25.87,11.39,6.78,3.82,0.44, 1.48,0.00,0.51,0.31,0.04,0.12,0.45
Northwest_Turkish,15.59,18.68,14.59,17.12,21.06,2. 92,1.42,2.18,5.21,0.48,0.35,0.19,0.20
Pannonian,30.43,32.58,14.23,7.16,10.42,1.28,0.9,0. 55,1.19,0.55,0.35,0.2,0.15
Papuan,0.03,0.02,0.02,0.02,0.02,0.07,2.35,1.77,0.4 9,0.22,94.59,0.20,0.20
Polish,30.43,45.49,10.42,5.43,3.74,1.24,0.96,0.11, 0.29,0.84,0.26,0.51,0.28
Sámi,24.98,43.85,0.00,0.74,0.00,0.00,1.25,1.23,23. 50,3.64,0.41,0.06,0.35
Scandinavian,51.14,28.61,9.91,5.60,1.73,0.43,0.42, 0.36,0.64,0.91,0.15,0.01,0.10
South_Alpine,33.49,15.86,23.07,5.80,18.13,2.38,0.1 8,0.19,0.20,0.33,0.25,0.06,0.06
South_Balkanic,21.69,17.54,21.72,11.13,23.86,2.59, 0.16,0.28,0.28,0.28,0.22,0.16,0.09
South_Baltic,28.87,53.90,7.17,3.91,1.48,0.76,1.34, 0.06,0.82,0.77,0.41,0.29,0.22
South_Greek,18.52,15.57,20.38,12.29,27.35,4.01,0.1 6,0.28,0.42,0.24,0.50,0.10,0.18
South_Iberian,39.07,8.19,29.07,3.83,14.11,1.95,0.6 0,0.29,0.63,0.02,0.40,1.28,0.57
South_Italian,18.53,7.21,21.05,15.4,30.94,4.84,0.6 3,0.33,0.1,0.14,0.12,0.52,0.19
South_Iranian,1.22,5.00,1.58,39.40,17.21,4.19,19.9 2,0.00,0.19,1.09,0.71,2.73,6.66
South_Levantine,2.45,0.69,10.94,18.25,40.75,14.70, 1.48,0.40,0.16,0.61,0.50,6.96,2.12
South_Turkish,6.89,6.1,10.81,27.85,26.51,5.15,3.94 ,3.32,7.45,0.44,0.45,0.5,0.48
South_African_Hunter_Gatherer,0.09,0.03,0.02,0.63, 0.11,0.19,0.07,0.01,0.02,0.03,0.68,39.70,58.43
South-East_Asian,0.26,0.08,0.05,0.21,0.05,0.07,0.76,82.4 9,14.62,0.38,0.80,0.19,0.04
South-South_Asian_(Arunthathiyar),0.07,0.02,0.98,12.79,0 .43,1.37,76.82,3.51,0.21,0.05,2.40,0.79,0.56
South-South_Asian_(Kannada),0.28,4.26,0.35,15.05,0.64,0. 05,72.33,2.12,1.82,0.61,1.48,0.40,0.61
South-Southeast_Asian,0.08,1.82,0.49,0.33,0.16,0.40,14.6 7,76.89,0.84,0.30,3.19,0.49,0.33
Southcentral_Asian_(Hazara),7.36,7.11,0.59,23.61,5 .37,0.96,13.56,17.57,20.94,2.12,0.35,0.12,0.31
Southcentral_Asian_(Pamiri),13.48,15.13,0,37.53,3. 65,0.14,19.84,1.37,4.92,3.14,0.23,0.06,0.53
Southcentral_Asian_(Tajik),9.77,12.89,0.80,36.11,9 .68,0.61,14.46,4.67,7.87,2.21,0.34,0.37,0.22
Southcentral_Siberian_(Altai),4.25,9.58,0.55,8.32, 0.14,0.23,2.94,21.39,48.62,3.21,0.51,0.01,0.25
Southcentral_Siberian_(Khakas),3.88,16.30,0.23,9.8 1,0.02,0.06,3.33,17.07,44.91,3.88,0.15,0.14,0.21
Southcentral_Siberian_(Tuvan),2.35,7.30,0.57,4.02, 0.24,0.55,1.60,23.23,56.57,2.50,0.71,0.05,0.29
Southeast_African,0.06,0.05,0.02,0.14,0.06,0.09,0. 16,0.20,0.19,0.06,0.20,14.77,84.01
Southeast_Caucasian,5.54,4.68,6.92,34.81,28.48,5.5 1,7.13,2.28,2.92,0.54,0.54,0.35,0.29
Southeast_Siberian,0.47,3.04,1.11,5.10,1.22,0.73,0 .74,26.85,58.82,1.44,0.26,0.21,0.01
Southwest_African,0.07,0.06,0.08,0.07,0.10,0.13,0. 08,0.07,0.22,0.07,0.33,13.01,85.70
Southwest_Caucasian,3.13,2.22,12.06,37.82,35.29,5. 75,2.77,0.24,0.10,0.13,0.35,0.17,0.16
Southwest_French,48.66,8.17,33.52,0.65,5.51,1.30,0 .57,0.37,0.25,0.42,0.29,0.14,0.14
Southwest-East_Asian_(Dai),0.03,1.07,0.03,0.16,0.01,0.01,4.1 9,90.46,1.69,0.55,1.41,0.10,0.28
Southwest-East_Asian_(Lahu),0.27,0.48,0.26,0.05,0.16,0.16,4. 49,81.47,9.62,0.88,1.46,0.51,0.17
Southwest-East_Asian_(Yi),0.04,0.03,0.04,0.08,0.01,0.10,3.29 ,70.41,23.74,0.48,1.45,0.13,0.20
Ukrainian,26.53,45.54,10.39,5.93,6.34,0.90,0.97,0. 43,1.33,0.70,0.47,0.19,0.27
Volga_Uralic_(Bashkir),13.65,24.98,2.13,13.63,1.26 ,0.28,3.45,8.71,27.40,3.25,0.41,0.58,0.27
Volga_Uralic_(Chuvash),14.88,43.07,2.02,8.74,1.29, 0.85,2.28,2.66,20.08,2.77,0.44,0.55,0.36
Volga_Uralic_(Mari),13.18,42.21,1.21,6.31,0.63,0.4 5,4.35,0.87,26.26,3.33,0.38,0.15,0.67
Volga_Uralic_(Mordvin),22.53,47.66,6.87,7.66,3.52, 0.71,1.62,1.04,6.12,1.30,0.53,0.24,0.20
Volga_Uralic_(Tatar),18.88,34.62,5.85,11.66,3.85,0 .90,2.68,3.12,15.56,2.00,0.28,0.13,0.46
Volga_Uralic_(Udmurt),18.51,36.69,0.51,12.56,0.01, 0.17,4.09,0.51,23.10,2.89,0.57,0.12,0.29
West_African_(Mandinka),0.27,0.16,0.39,0.05,0.63,1 .58,0.14,0.12,0.17,0.08,0.21,7.23,88.98
West_African_(Yoruban),0.05,0.05,0.11,0.20,0.13,0. 91,0.07,0.11,0.08,0.08,0.10,2.91,95.20
West_Alpine,40.95,22.52,15.86,6.68,10.49,1.08,0.82 ,0.32,0.38,0.32,0.41,0.08,0.09
West_Balkanic,24.83,29.18,17.10,8.89,15.96,1.66,0. 53,0.30,0.61,0.49,0.33,0.06,0.08
West_Greenlandic,1.90,12.23,0.02,0.80,0.01,0.01,2. 80,6.23,38.66,37.10,0.06,0.14,0.04
West_Iberian,38.54,11.51,25.32,2.43,13.90,3.63,0.4 2,0.14,0.25,0.44,0.67,1.72,1.04
West_Levantine,1.47,0.19,15.36,20.76,47.26,12.40,0 .77,0.59,0.19,0.01,0.17,0.83,0.01
West_Maghrebian,9.39,0.16,25.34,0.01,25.50,17.75,0 .00,0.69,0.03,0.04,0.18,12.01,8.89
West_Uralic,22.39,43.60,3.11,8.46,0.17,0.31,2.39,0 .57,15.43,2.56,0.25,0.21,0.54
West-South_Asian,4.22,6.43,0.04,27.49,0.40,0.18,58.04,0 .65,1.25,0.37,0.49,0.11,0.33
Westcentral_Asian_(Karakalpak),7.81,12.16,2.15,13. 31,3.51,1.45,4.49,20.04,32.27,1.72,0.65,0.08,0.28
Westcentral_Asian_(Turkmen),7.21,5.91,2.52,32.73,1 9.76,1.31,11.21,6.87,10.08,1.88,0.32,0.08,0.11
Westcentral_Asian_(Uzbek),8.55,11.84,2.11,23.96,8. 12,0.77,9.98,13.84,18.76,1.66,0.15,0.09,0.17

[Beowulf]

Beowulf_grandparent,38.56,10.61,27.35,4.84,11.18,2 .39,1.61,0,0.3,0,0.64,1.38,1.13


Amazonian,0.00,0.01,0.00,0.00,0.00,0.00,0.01,0.32, 0.02,99.62,0.00,0.01,0.01
Arabic,0.17,0.18,5.91,10.01,42.83,34.20,1.72,0.34, 0.09,0.11,0.19,4.08,0.17
Aboriginal_Australian,0,0,0,0,0,0,14.73,11.06,4.79 ,0.2,65.9,3.33,0
Balkanic_Roma,9.73,9.53,12.55,16.84,18.44,2.86,26. 43,1.28,0.92,0.27,0.61,0.45,0.09
British_Isles,52.43,22.93,12.62,6.82,1.44,0.50,1.4 0,0.16,0.28,0.80,0.29,0.14,0.13
Central_Baltic,26.53,59.03,6.85,2.64,0.87,0.36,1.2 2,0.18,0.73,0.87,0.37,0.05,0.31
Central_Caucasian,3.72,5.52,10.13,52.14,21.85,3.22 ,1.80,0.65,0.37,0.42,0.12,0.03,0.03
Central_French,42.40,18.28,20.55,4.81,9.80,1.59,0. 49,0.26,0.36,0.46,0.37,0.38,0.24
Central_Italian,25.25,9.35,24.03,11.35,25.14,3.6,0 .33,0.2,0.12,0.25,0.18,0.14,0.06
Central_Iranian,3.29,4.79,3.67,39.54,25.33,5.16,15 .06,0.17,1.02,0.62,0.51,0.37,1.89
Central_Maghrebian,13.95,0.61,24.25,0.00,27.47,14. 21,0.00,0.31,0.12,0.10,0.39,8.89,9.66
Central_Mediterranean_(Corsican),26.74,9.01,28.48, 6.84,23.99,3.65,0.18,0.18,0.21,0.17,0.45,0.1,0
Central_Mediterranean_(Sardinian),23.14,1.64,49.58 ,0.38,22.02,2.41,0,0.13,0.03,0,0.31,0.26,0.1
Central_Russian,25.04,49.54,9.31,5.95,1.48,1.02,1. 12,0.10,3.82,1.42,0.39,0.66,0.16
Central_African_Hunter_Gatherer_(Hadza),0.41,0.32, 0.01,0.97,0.14,1.32,2.66,0.05,0.25,0.12,0.55,61.84 ,31.36
Central_African_Hunter_Gatherer_(Mbuti),0.00,0.00, 0.00,0.00,0.00,0.00,0.00,0.01,0.00,0.01,0.14,33.21 ,66.64
Central_African_Hunter_Gatherer_(Sandawe),0.15,0.0 6,0.73,0.04,7.61,5.09,0.15,0.28,0.10,0.02,0.49,48. 50,36.79
Crimean_Tatar,13.17,20.04,7.55,16.36,8.88,1.83,3.2 3,10.25,16.40,1.28,0.47,0.27,0.21
East_African_(Aari),0.43,0.14,0.32,1.97,2.23,9.70, 1.41,0.23,0.53,0.20,0.37,74.12,8.35
East_African_(Amhara),0.07,0.01,0.77,0.04,21.14,26 .79,0.03,0.14,0.02,0.17,0.21,47.07,3.55
East_African_(Gumuz),0.00,0.00,0.00,0.01,0.00,0.01 ,0.78,0.51,0.30,0.10,0.41,72.20,25.69
East_African_(Oromo),0.04,0.00,1.16,0.05,14.96,21. 12,0.02,0.73,0.00,0.05,0.10,54.95,6.82
East_African_(Somali),0.01,0.00,1.40,0.00,11.03,24 .66,0.00,0.08,0.13,0.07,0.04,56.35,6.23
East_African_(Welayta),0.60,0.01,0.43,0.08,13.09,1 9.47,0.07,0.49,0.30,0.19,0.16,59.32,5.79
East_Alpine,36.84,27.27,15.90,7.36,9.10,1.32,0.60, 0.23,0.48,0.27,0.41,0.06,0.10
East_Balkanic,21.80,24.15,17.82,11.65,19.51,2.40,0 .53,0.42,0.77,0.38,0.33,0.11,0.08
East_Greenlandic,0.02,3.27,0.00,0.11,0.00,0.01,2.0 0,7.51,44.32,42.38,0.30,0.01,0.07
East_Iberian,41.36,12.13,25.78,3.08,13.09,1.51,0.6 9,0.59,0.06,0.06,0.43,0.45,0.77
East_Levantine,2.66,2.3,8.46,28.81,33.63,11.82,6.8 3,0.61,0.88,0.37,0.27,2.54,0.81
East_Maghrebian,6.27,0.45,16.18,1.23,31.33,22.97,0 .17,0.57,0.54,0.38,0.36,10.54,9.00
East_Mediterranean_(Crete),13.22,9.49,20.29,17.33, 32.47,5.12,0.27,0.24,0.20,0.15,0.60,0.47,0.16
East_Mediterranean_(Cypriot),5.67,2.81,19.86,20.34 ,41.08,8.12,0.5,0.07,0.23,0,0.47,0.3,0.54
East_Siberian,0.56,3.45,1.61,1.67,0.21,0.56,1.13,1 5.25,74.19,0.52,0.67,0.17,0.01
East_Turkish,5.37,4.44,10.98,35.86,29.82,4.02,4.85 ,1.19,2.15,0.61,0.25,0.3,0.13
East_Uralic,5.65,31.35,0.00,3.55,0.00,0.00,4.34,0. 83,47.59,6.01,0.56,0.00,0.10
East-South_Asian,0.00,0.00,0.01,0.00,0.00,0.00,69.42,24 .77,0.18,0.08,4.28,0.68,0.58
East-Southeast_Asian,0.05,1.24,0.02,0.14,0.05,0.24,5.11 ,86.45,5.20,0.16,1.06,0.16,0.12
Eastcentral_African_(Luhya),0.19,0.09,0.06,0.15,0. 08,0.70,0.15,0.25,0.04,0.02,0.28,25.17,72.81
Eastcentral_African_(Maasai),0.23,0.09,0.62,0.14,2 .81,11.37,0.02,0.05,0.05,0.05,0.45,53.34,30.78
Eastcentral_Asian_(Kirgiz),5.81,7.94,1.15,12.69,2. 05,0.34,4.21,24.46,37.76,2.56,0.91,0.04,0.08
Eastcentral_Asian_(Uygur),7.18,9.70,0.87,18.93,4.6 6,0.18,10.42,24.33,20.48,2.35,0.42,0.26,0.21
Eastcentral_European,32.33,37.42,11.45,5.60,8.50,1 .59,1.15,0.44,0.51,0.91,0.00,0.05,0.06
Finnish,34.17,47.69,4.43,2.21,0.65,0.42,0.53,0.96, 6.48,0.90,0.81,0.50,0.26
Japanese,0.01,0.00,0.01,0.00,0.02,0.01,0.22,65.93, 31.72,0.83,0.62,0.32,0.30
Jew_(Ashkenazi),16.48,8.34,18.39,10.85,36.34,5.86, 0.10,0.85,1.05,0.21,0.27,0.89,0.39
Jew_(Sephardi),15.63,1.81,19.83,13.04,36.91,8.90,0 .61,0.38,0.78,0.00,0.33,1.12,0.65
Mesoamerican,1.71,0.40,5.07,0.10,0.18,0.17,0.09,1. 09,2.53,86.31,0.26,0.32,1.78
Mongolian,2.93,4.38,1.13,7.15,1.42,0.54,1.22,30.75 ,48.10,1.67,0.58,0.05,0.08
Nogai,9.25,13.23,6.43,31.31,10.06,0.46,2.77,9.16,1 5.03,1.24,0.51,0.34,0.21
North_Baltic,32.93,50.58,6.76,2.45,0.57,0.09,0.95, 0.05,3.51,1.35,0.61,0.04,0.09
North_Iberian,41.79,11.49,29.27,1.75,10.20,2.37,0. 45,0.03,0.13,0.49,0.47,0.80,0.75
North_Italian,29.74,11.92,24.60,7.93,21.74,2.90,0. 26,0.26,0.05,0.22,0.22,0.12,0.05
North_Levantine_(Alawite),5.95,1.56,13.93,24.33,39 .43,9.69,1.82,0.42,0.76,0.21,0.35,1.28,0.23
North_Levantine_(Assyrian),1.47,1.33,11.83,32.9,39 .46,8.42,3.47,0.22,0.16,0.14,0.31,0.21,0.07
North_Levantine_(Syrian),3.40,0.83,13.31,21.61,37. 83,13.75,3.44,0.23,0.19,0.24,0.48,2.93,1.77
North_Maghrebian,9.41,1.02,22.23,0.71,30.54,14.99, 0.01,0.26,0.35,0.00,0.39,9.20,10.88
North_Native_American,0.00,1.64,0.00,0.01,0.00,0.0 1,1.03,1.61,21.97,73.72,0.02,0.00,0.00
North_Russian,26.52,49.43,5.57,4.65,1.14,0.51,0.99 ,0.44,8.60,1.19,0.47,0.17,0.34
North_Siberian_(Evenk),0.26,4.32,0.37,0.52,0.20,0. 12,0.44,11.82,79.19,1.34,1.21,0.11,0.11
North_Siberian_(Selkup),1.71,25.06,0.00,3.81,0.00, 0.00,2.68,0.95,59.32,6.05,0.40,0.00,0.02
North-South_Asian_(Burusho),2.50,8.83,0.01,37.09,0.22,0. 04,36.76,5.04,6.21,2.26,0.33,0.24,0.47
North-South_Asian_(Jat),7.52,10.46,0.07,35.03,0.74,0.59, 43.04,0.07,0.41,1.30,0.33,0.07,0.38
North-Southeast_Asian,0.32,0.81,1.02,0.70,0.54,0.31,18.3 9,60.71,13.69,0.79,1.64,0.24,0.84
Northcentral_Asian,7.42,11.87,1.47,12.28,0.99,0.86 ,3.34,22.47,36.11,2.22,0.91,0.05,0.03
Northcentral_Caucasian,10.14,15.25,4.48,46.45,13.1 1,1.36,3.47,1.34,1.73,1.32,1.05,0.18,0.12
Northeast_African_(Egyptian),3.00,0.09,11.72,7.86, 39.56,18.84,0.09,0.14,0.30,0.10,0.23,11.83,6.24
Northeast_African_(Sudanese),0.00,0.00,0.00,0.00,0 .00,0.00,0.01,0.00,0.00,0.00,0.00,57.81,42.16
Northeast_Caucasian,14.40,16.11,1.05,49.59,8.76,0. 69,5.74,0.06,1.74,1.37,0.27,0.02,0.19
Northeast_German,39.63,38.09,9.56,4.92,3.95,1.05,1 .04,0.29,0.03,0.27,0.29,0.63,0.25
Northeast_Turkish,2,2.18,14.83,40.78,33.76,2.4,1.8 1,0.76,0.89,0.12,0.38,0,0
Northeast_Siberian_(Chukchi),0.02,3.65,0.00,0.05,0 .00,0.00,1.28,8.84,60.79,24.71,0.65,0.00,0.00
Northeast_Siberian_(Koryak),0.02,3.90,0.00,0.24,0. 00,0.00,0.93,10.91,66.39,17.42,0.16,0.00,0.02
Northeast-East_Asian,0.62,0.29,0.30,1.72,0.85,0.14,0.12,55.6 1,39.46,0.35,0.26,0.25,0.04
Northeast-South_Asian,2.38,4.43,0.93,18.87,0.54,0.25,58.19,8 .99,2.54,0.76,1.71,0.02,0.40
Northwest_Caucasian,6.38,12.14,7.88,47.22,16.97,1. 95,2.79,1.08,2.58,0.80,0.13,0.05,0.03
Northwest_Iranian,4,2.22,7.31,39.88,31.03,4.36,9.2 9,0,0.99,0.19,0,0.03,0.54
Northwest-South_Asian_(Baloch),2.96,3.55,0.24,53.45,5.02,3.1 5,29.58,0.00,0.17,0.63,0.04,0.32,0.90
Northwest-South_Asian_(Pashtun),3.25,10.13,0.23,37.28,4.70,0 .50,39.03,0.27,2.24,1.74,0.17,0.09,0.39
Northwest-South_Asian_(Sindhi),3.30,3.82,0.06,39.57,3.85,0.5 1,45.20,0.17,0.58,1.41,0.43,0.48,0.62
Northwest_German,48.78,25.87,11.39,6.78,3.82,0.44, 1.48,0.00,0.51,0.31,0.04,0.12,0.45
Northwest_Turkish,15.59,18.68,14.59,17.12,21.06,2. 92,1.42,2.18,5.21,0.48,0.35,0.19,0.20
Pannonian,30.43,32.58,14.23,7.16,10.42,1.28,0.9,0. 55,1.19,0.55,0.35,0.2,0.15
Papuan,0.03,0.02,0.02,0.02,0.02,0.07,2.35,1.77,0.4 9,0.22,94.59,0.20,0.20
Polish,30.43,45.49,10.42,5.43,3.74,1.24,0.96,0.11, 0.29,0.84,0.26,0.51,0.28
Sámi,24.98,43.85,0.00,0.74,0.00,0.00,1.25,1.23,23. 50,3.64,0.41,0.06,0.35
Scandinavian,51.14,28.61,9.91,5.60,1.73,0.43,0.42, 0.36,0.64,0.91,0.15,0.01,0.10
South_Alpine,33.49,15.86,23.07,5.80,18.13,2.38,0.1 8,0.19,0.20,0.33,0.25,0.06,0.06
South_Balkanic,21.69,17.54,21.72,11.13,23.86,2.59, 0.16,0.28,0.28,0.28,0.22,0.16,0.09
South_Baltic,28.87,53.90,7.17,3.91,1.48,0.76,1.34, 0.06,0.82,0.77,0.41,0.29,0.22
South_Greek,18.52,15.57,20.38,12.29,27.35,4.01,0.1 6,0.28,0.42,0.24,0.50,0.10,0.18
South_Iberian,39.07,8.19,29.07,3.83,14.11,1.95,0.6 0,0.29,0.63,0.02,0.40,1.28,0.57
South_Italian,18.53,7.21,21.05,15.4,30.94,4.84,0.6 3,0.33,0.1,0.14,0.12,0.52,0.19
South_Iranian,1.22,5.00,1.58,39.40,17.21,4.19,19.9 2,0.00,0.19,1.09,0.71,2.73,6.66
South_Levantine,2.45,0.69,10.94,18.25,40.75,14.70, 1.48,0.40,0.16,0.61,0.50,6.96,2.12
South_Turkish,6.89,6.1,10.81,27.85,26.51,5.15,3.94 ,3.32,7.45,0.44,0.45,0.5,0.48
South_African_Hunter_Gatherer,0.09,0.03,0.02,0.63, 0.11,0.19,0.07,0.01,0.02,0.03,0.68,39.70,58.43
South-East_Asian,0.26,0.08,0.05,0.21,0.05,0.07,0.76,82.4 9,14.62,0.38,0.80,0.19,0.04
South-South_Asian_(Arunthathiyar),0.07,0.02,0.98,12.79,0 .43,1.37,76.82,3.51,0.21,0.05,2.40,0.79,0.56
South-South_Asian_(Kannada),0.28,4.26,0.35,15.05,0.64,0. 05,72.33,2.12,1.82,0.61,1.48,0.40,0.61
South-Southeast_Asian,0.08,1.82,0.49,0.33,0.16,0.40,14.6 7,76.89,0.84,0.30,3.19,0.49,0.33
Southcentral_Asian_(Hazara),7.36,7.11,0.59,23.61,5 .37,0.96,13.56,17.57,20.94,2.12,0.35,0.12,0.31
Southcentral_Asian_(Pamiri),13.48,15.13,0,37.53,3. 65,0.14,19.84,1.37,4.92,3.14,0.23,0.06,0.53
Southcentral_Asian_(Tajik),9.77,12.89,0.80,36.11,9 .68,0.61,14.46,4.67,7.87,2.21,0.34,0.37,0.22
Southcentral_Siberian_(Altai),4.25,9.58,0.55,8.32, 0.14,0.23,2.94,21.39,48.62,3.21,0.51,0.01,0.25
Southcentral_Siberian_(Khakas),3.88,16.30,0.23,9.8 1,0.02,0.06,3.33,17.07,44.91,3.88,0.15,0.14,0.21
Southcentral_Siberian_(Tuvan),2.35,7.30,0.57,4.02, 0.24,0.55,1.60,23.23,56.57,2.50,0.71,0.05,0.29
Southeast_African,0.06,0.05,0.02,0.14,0.06,0.09,0. 16,0.20,0.19,0.06,0.20,14.77,84.01
Southeast_Caucasian,5.54,4.68,6.92,34.81,28.48,5.5 1,7.13,2.28,2.92,0.54,0.54,0.35,0.29
Southeast_Siberian,0.47,3.04,1.11,5.10,1.22,0.73,0 .74,26.85,58.82,1.44,0.26,0.21,0.01
Southwest_African,0.07,0.06,0.08,0.07,0.10,0.13,0. 08,0.07,0.22,0.07,0.33,13.01,85.70
Southwest_Caucasian,3.13,2.22,12.06,37.82,35.29,5. 75,2.77,0.24,0.10,0.13,0.35,0.17,0.16
Southwest_French,48.66,8.17,33.52,0.65,5.51,1.30,0 .57,0.37,0.25,0.42,0.29,0.14,0.14
Southwest-East_Asian_(Dai),0.03,1.07,0.03,0.16,0.01,0.01,4.1 9,90.46,1.69,0.55,1.41,0.10,0.28
Southwest-East_Asian_(Lahu),0.27,0.48,0.26,0.05,0.16,0.16,4. 49,81.47,9.62,0.88,1.46,0.51,0.17
Southwest-East_Asian_(Yi),0.04,0.03,0.04,0.08,0.01,0.10,3.29 ,70.41,23.74,0.48,1.45,0.13,0.20
Ukrainian,26.53,45.54,10.39,5.93,6.34,0.90,0.97,0. 43,1.33,0.70,0.47,0.19,0.27
Volga_Uralic_(Bashkir),13.65,24.98,2.13,13.63,1.26 ,0.28,3.45,8.71,27.40,3.25,0.41,0.58,0.27
Volga_Uralic_(Chuvash),14.88,43.07,2.02,8.74,1.29, 0.85,2.28,2.66,20.08,2.77,0.44,0.55,0.36
Volga_Uralic_(Mari),13.18,42.21,1.21,6.31,0.63,0.4 5,4.35,0.87,26.26,3.33,0.38,0.15,0.67
Volga_Uralic_(Mordvin),22.53,47.66,6.87,7.66,3.52, 0.71,1.62,1.04,6.12,1.30,0.53,0.24,0.20
Volga_Uralic_(Tatar),18.88,34.62,5.85,11.66,3.85,0 .90,2.68,3.12,15.56,2.00,0.28,0.13,0.46
Volga_Uralic_(Udmurt),18.51,36.69,0.51,12.56,0.01, 0.17,4.09,0.51,23.10,2.89,0.57,0.12,0.29
West_African_(Mandinka),0.27,0.16,0.39,0.05,0.63,1 .58,0.14,0.12,0.17,0.08,0.21,7.23,88.98
West_African_(Yoruban),0.05,0.05,0.11,0.20,0.13,0. 91,0.07,0.11,0.08,0.08,0.10,2.91,95.20
West_Alpine,40.95,22.52,15.86,6.68,10.49,1.08,0.82 ,0.32,0.38,0.32,0.41,0.08,0.09
West_Balkanic,24.83,29.18,17.10,8.89,15.96,1.66,0. 53,0.30,0.61,0.49,0.33,0.06,0.08
West_Greenlandic,1.90,12.23,0.02,0.80,0.01,0.01,2. 80,6.23,38.66,37.10,0.06,0.14,0.04
West_Iberian,38.54,11.51,25.32,2.43,13.90,3.63,0.4 2,0.14,0.25,0.44,0.67,1.72,1.04
West_Levantine,1.47,0.19,15.36,20.76,47.26,12.40,0 .77,0.59,0.19,0.01,0.17,0.83,0.01
West_Maghrebian,9.39,0.16,25.34,0.01,25.50,17.75,0 .00,0.69,0.03,0.04,0.18,12.01,8.89
West_Uralic,22.39,43.60,3.11,8.46,0.17,0.31,2.39,0 .57,15.43,2.56,0.25,0.21,0.54
West-South_Asian,4.22,6.43,0.04,27.49,0.40,0.18,58.04,0 .65,1.25,0.37,0.49,0.11,0.33
Westcentral_Asian_(Karakalpak),7.81,12.16,2.15,13. 31,3.51,1.45,4.49,20.04,32.27,1.72,0.65,0.08,0.28
Westcentral_Asian_(Turkmen),7.21,5.91,2.52,32.73,1 9.76,1.31,11.21,6.87,10.08,1.88,0.32,0.08,0.11
Westcentral_Asian_(Uzbek),8.55,11.84,2.11,23.96,8. 12,0.77,9.98,13.84,18.76,1.66,0.15,0.09,0.17



Target: Beowulf_grandparent
Distance: 0.3524% / 0.35243800
27.0 South_Iberian
24.1 North_Iberian
16.3 Southwest_French
14.8 Northwest_German
8.7 Central_Mediterranean_(Sardinian)
3.2 Northwest-South_Asian_(Baloch)
1.6 Central_Maghrebian
1.2 Central_Mediterranean_(Corsican)
0.9 Southwest_Caucasian
0.6 East_African_(Somali)
0.4 Arabic
0.3 Eastcentral_African_(Maasai)
0.3 Papuan
0.2 North_Italian
0.2 Southwest_African
0.1 Eastcentral_African_(Luhya)
0.1 West_African_(Mandinka)

Target: Beowulf_grandparent
Distance: 0.5575% / 0.55750793 | ADC: 0.25x RC
61.3 North_Iberian
23.4 South_Iberian
9.5 West_Iberian
3.6 Northwest-South_Asian_(Baloch)
1.4 Northeast_Caucasian
0.8 South_African_Hunter_Gatherer

[gixajo]

Target: Beowulf_grandparent
r


K13 ancient individuals datasheet:

https://file.io/IZvJw70FBknl

[Beowulf]

K13 ancient individuals datasheet:

https://file.io/IZvJw70FBknl

Target: Beowulf_grandparent
Distance: 0.7141% / 0.71409801 | ADC: 0.25x RC
45.0 Italy_North_EarlyMedieval_Langobards_2
18.2 Spain_Visigoth_Granada
11.7 Spain_Medieval
8.8 France_Occitanie_MBA
7.7 Germany_Lech_MBA
5.5 Serbia_Mokrin_EBA_Maros
3.1 Spain_EBA

[hazmatnik]

Interesting how can i use it?

Just dont take matches, he only share pile up segment with, too serious as a sign of some recent connection, because nobody knows since when these segments are (i collect matches from whole Europe on pileup segment on chr 16 for example).
You will usually recognize those matches by this little icon, which means that all of them share same segment:

https://i.postimg.cc/QtGcQ72C/Screenshot-20240127-153214-Chrome.jpg (https://postimg.cc/HJzJHrs1)

[Beowulf]

Just dont take matches, he only share pile up segment with, too serious as a sign of some recent connection, because nobody knows since when these segments are (i collect matches from whole Europe on pileup segment on chr 16 for example).
You will usually recognize those matches by this little icon, which means that all of them share same segment:

That tool is in the chromosome browser in My Heritage right?

[hazmatnik]

That tool is in the chromosome browser in My Heritage right?

Its not a tool, since unfortunatelly MH doesnt say which segments are considered pileup but you will see that little icon when you click on your match and scroll down to shared matches list.

Best way to identify on your own which matches are on PU segments and which not is in DNA Painter http://https://dnapainter.com/ (http://dnapainter.com/) but thats tremendous task.

[Beowulf]

Its not a tool, since unfortunatelly MH doesnt say which segments are considered pileup but you will see that little icon when you click on your match and scroll down to shared matches list.

Best way to identify on your own which matches are on PU segments and which not is in DNA Painter http://https://dnapainter.com/ (http://dnapainter.com/) but thats tremendous task.


Oh Okay Thank you mate! :high5

[Beowulf]

Real coordinates of my Grandpa

i don't find them very different from the simulated ones:

Abuelo_Bartolome_Scaled,0.112959,0.136902,0.037589 5,0.00258,0.0368435,-0.00131,0.00175,0.00172,0.017931,0.028426,-0.0011615,0.007504,-0.0148725,-0.0156665,0.0065565,-0.000989,-0.0012165,0.001074,-0.003653,-0.003306,0.0013875,0.00302,-0.0035385,-0.0045825,-0.000264


Abuelo_Bartolome_Unscaled,0.0099563,0.0127033,0.01 03653,0.0000823,0.0126946,-0.001366,0.0001316,0.0010383,0.010336,0.015725,-0.003406,0.005008,-0.0096546,-0.0096906,0.0069403,0.0010407,-0.0016143,-0.0009957,-0.002614,-0.002491,0.0019166,-0.001417,-0.0036867,-0.003191,-0.0002253

[Beowulf]

<tbody>
Distance to:
Abuelo_Bartolome_Scaled


0.01592762
Spanish_Camp_de_Tarragona


0.01667850
Spanish_Mallorca


0.01758590
Spanish_Penedes


0.01769483
Spanish_Baleares


0.01784793
Spanish_Alacant


0.01837285
Spanish_Girona


0.01923256
Spanish_Valencia


0.01945043
Spanish_Galicia


0.01967953
Spanish_Cantabria


0.01986146
Spanish_Terres_de_l'Ebre


0.01987122
Spanish_Peri-Barcelona


0.01990189
Spanish_Castilla_La_Mancha


0.01991986
Spanish_Lleida


0.02010250
Spanish_Andalucia


0.02034012
Spanish_Menorca


0.02051776
Spanish_Pirineu


0.02071849
Portuguese


0.02158226
Spanish_Castello


0.02174879
Spanish_Castilla_Y_Leon


0.02177606
Spanish_Cataluna


0.02215488
Spanish_Murcia


0.02216292
French_Provence


0.02261193
Spanish_Barcelones


0.02280939
Spanish_Aragon


0.02296612
Spanish_Catalunya_Central


0.02329256
Spanish_Extremadura


0.02592985
Spanish_La_Rioja


0.02624954
French_Auvergne


0.02686223
Italian_Trentino_Alto_Adige


0.02764803
Italian_Aosta_Valley


0.02781339
Spanish_Navarra


0.02786607
Swiss_French


0.02906133
Spanish_Burgos


0.02907576
Spanish_Biscay


0.02984156
Italian_Veneto


0.02991697
French_Occitanie


0.03042720
Spanish_Aragon_North


0.03147817
Italian_Bergamo


0.03228448
French_South


0.03234387
French_Bigorre


0.03338827
Italian_Northeast


0.03398082
Italian_Piedmont


0.03401120
Italian_Lombardy


0.03489680
Spanish_Soria


0.03503995
French_Chalosse


0.03528361
French_Bearn


0.03560753
Spanish_Asturias


0.03620425
Italian_Liguria


0.03662743
Basque_Navarre_Center


0.03701539
Swiss_Italian



</tbody>


Target: Abuelo_Bartolome_Scaled
Distance: 0.0046% / 0.00463895 | R7P
29.8 Spanish_Baleares
27.9 Basque_Navarre_North
26.0 Spanish_Camp_de_Tarragona
5.6 Georgian_Mtiuleti
4.4 Roma_Madrid
3.5 Mari
2.8 Algerian

[Beowulf]

Mixed Mode with some samples:


<tbody>
Distance to:
Abuelo_Bartolome_Scaled


0.01533810
62.20% Spanish_Andalucia + 37.80% French_Auvergne


0.01585956
91.20% Spanish_Andalucia + 8.80% Finnish_Central


0.01599285
94.60% Spanish_Andalucia + 5.40% Turkmen


0.01681780
88.20% Spanish_Andalucia + 11.80% Icelandic


0.01713764
91.80% Spanish_Andalucia + 8.20% Russian_Kaluga


0.02251813
94.00% French_Auvergne + 6.00% Turkmen





</tbody>

[Grace O'Malley]

https://i.postimg.cc/sfQXTKzm/Screenshot-2024-01-26-15-22-41.png (https://postimages.org/)


hahaha funny results for sure!!1!

I wonder with MyHeritage whether their Iberian reference population is Basque or one of the populations with a lot of Basque? Iberians get strange results on MyHeritage. Well most people get some odd results. :) Anyway it's great you could get your Grandfather done and the raw dna will be good to have.

What were his Genetic Groups? Hopefully MyHeritage will one date update their reference populations and we will all get a new ancestry comp.

[Beowulf]

I wonder with MyHeritage whether their Iberian reference population is Basque or one of the populations with a lot of Basque? Iberians get strange results on MyHeritage. Well most people get some odd results. :) Anyway it's great you could get your Grandfather done and the raw dna will be good to have.

What were his Genetic Groups? Hopefully MyHeritage will one date update their reference populations and we will all get a new ancestry comp.






Spain (Alicante), Algeria and France






Southern Spain, France and Algeria






Spain (Andalusia and Murcia), France and Algeria


And then one from North Ohio, wich is also related with French settlers and my grandpa had recent French ancestry



About his Uralic shift that appear in MH, gedmatch and G25 i still don't know nothing, there could be something interesting in his tree who knows.

[Beowulf]

https://www.theapricity.com/forum/showthread.php?386105-Paternal-Grandfather-FTDNA-results

[Johnson Reed]

Real coordinates of my Grandpa

i don't find them very different from the simulated ones:

Abuelo_Bartolome_Scaled,0.112959,0.136902,0.037589 5,0.00258,0.0368435,-0.00131,0.00175,0.00172,0.017931,0.028426,-0.0011615,0.007504,-0.0148725,-0.0156665,0.0065565,-0.000989,-0.0012165,0.001074,-0.003653,-0.003306,0.0013875,0.00302,-0.0035385,-0.0045825,-0.000264


Abuelo_Bartolome_Unscaled,0.0099563,0.0127033,0.01 03653,0.0000823,0.0126946,-0.001366,0.0001316,0.0010383,0.010336,0.015725,-0.003406,0.005008,-0.0096546,-0.0096906,0.0069403,0.0010407,-0.0016143,-0.0009957,-0.002614,-0.002491,0.0019166,-0.001417,-0.0036867,-0.003191,-0.0002253

Target: Abuelo_Bartolome_Scaled
Distance: 2.7293% / 0.02729304
52.8 TUR_Barcin_N
33.2 Yamnaya_RUS_Samara
10.6 WHG
2.8 MAR_Taforalt
0.6 Han

He scores minor Iberomaurusian, which is normal for Iberians, but the minor Han is not (and explains the shift towards Russians, Turkmen, etc...)