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GEDMatch HarappaWorld Gedmatch, post and compare your admixtures to ancient and contemporary.

Lithuanian and Stuttgart together would mean something European, Masai is an East African population with both sub-saharan and Levantie ancestry, both of which you have, and interestengly as you said, central Asian :)

Yeah, the Lithuanian/Stuttgart probably "fill" the Italian/Balkanic sides. The rest of this 4.5 to 0 would be Amerindian, probably.

I'm an insane melting pot, typical brazilian.
 
Yeah, the Lithuanian/Suttgart probably "fill" the Italian/Balkanic sides. The rest of this 4.5 to 0 would be Amerindian, probably.

I'm a insane melting pot, typical brazilian.

I think it feels great to be connected to everyone, right ?
 
I think it feels great to be connected to everyone, right ?

At some point, yes. I mean, my family culturally speaking is Italian/Brazilian everywhere, so it's somewhat hard to explain for them (especially my father, which has the Sub-Saharian/Amerindian/Central Asian side) that all his family is a big group of different ethnical groups. Since he lost his father when he was very young, he never had those connections.

But for me? I like it. I always made some jokes about it lol
 
At some point, yes. I mean, my family culturally speaking is Italian/Brazilian everywhere, so it's somewhat hard to explain for them (especially my father, which has the Sub-Saharian/Amerindian/Central Asian side) that all his family is a big group of different ethnical groups. Since he lost his father when he was very young, he never had those connections.

But for me? I like it. I always made some jokes about it lol
At least half of your DNA looks European, but the rest belongs to the whole world,.... almost. Nice mix.
 
Just 0 E-Asian or Siberian, I think.

If it weren't for that you would truly be the embodiment of the whole world :grin:

And then you could become the ambassador of Earth to the Aliens ...
 
Nah, I meant ancient aliens (just to clarify). Let's not get too carried away with that show in this thread btw :)
 
Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]NE-Euro[/TD]
[TD="width: 50, align: right"]37.58[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]26.71[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]23.73[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]7.63[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]2.47[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]SE-Asian[/TD]
[TD="width: 50, align: right"]0.51[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]Beringian[/TD]
[TD="width: 50, align: right"]0.37[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]American[/TD]
[TD="width: 50, align: right"]0.36[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]NE-Asian[/TD]
[TD="width: 50, align: right"]0.34[/TD]

[TD="width: 30, align: center"]10[/TD]
[TD="width: 120"]Papuan[/TD]
[TD="width: 50, align: right"]0.3

[/TD]
 
Admix Results (sorted):

# Population Percent
1 Mediterranean 26.37
2 NE-Euro 22.41
3 American 19.05
4 Caucasian 16.56
5 SW-Asian 6.85
6 Baloch 3.87
7 W-African 2.52


Finished reading population data. 377 populations found.
16 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 mexican_hapmap @ 14.555709
2 colombian_1000genomes @ 16.019730
3 puerto-rican_1000genomes @ 16.048594
4 colombian_bryc @ 20.546848
5 puerto-rican_bryc @ 20.929077
6 tuscan_hgdp @ 23.618700
7 italian_hgdp @ 23.703411
8 tuscan_hapmap @ 23.712833
9 tuscan_1000genomes @ 23.803040
10 romanian-a_behar @ 25.583813
11 bulgarian_yunusbayev @ 26.416424
12 ashkenazi_harappa @ 26.933561
13 ashkenazy-jew_behar @ 28.323313
14 spaniard_behar @ 28.499174
15 spaniard_1000genomes @ 28.863825
16 serbian_harappa @ 29.270920
17 french_hgdp @ 30.897539
18 morocco-jew_behar @ 31.672659
19 mexican_1000genomes @ 31.848198
20 sephardic-jew_behar @ 32.750092

Using 2 populations approximation:
1 50% bulgarian_yunusbayev +50% colombian_bryc @ 4.951550


Using 3 populations approximation:
1 50% colombian_bryc +25% hungarian_behar +25% sephardic-jew_behar @ 3.333802


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 bulgarian_yunusbayev + colombian_1000genomes + ecuadorian_bryc + tuscan_1000genomes @ 2.131399
2 colombian_1000genomes + ecuadorian_bryc + romanian-a_behar + tuscan_1000genomes @ 2.208290
3 bulgarian_yunusbayev + colombian_1000genomes + ecuadorian_bryc + tuscan_hgdp @ 2.221877
4 colombian_1000genomes + ecuadorian_bryc + hungarian_behar + sephardic-jew_behar @ 2.277056
5 colombian_1000genomes + mexican_1000genomes + sephardic-jew_behar + slovenian_xing @ 2.283185
6 colombian_1000genomes + ecuadorian_bryc + sephardic-jew_behar + slovenian_xing @ 2.291576
7 bulgarian_yunusbayev + colombian_1000genomes + ecuadorian_bryc + tuscan_hapmap @ 2.298923
8 colombian_1000genomes + hungarian_behar + mexican_1000genomes + sephardic-jew_behar @ 2.308340
9 colombian_1000genomes + ecuadorian_bryc + romanian-a_behar + tuscan_hgdp @ 2.338288
10 colombian_1000genomes + ecuadorian_bryc + romanian-a_behar + tuscan_hapmap @ 2.442700
11 bulgarian_yunusbayev + colombian_1000genomes + mexican_1000genomes + tuscan_1000genomes @ 2.447449
12 colombian_1000genomes + mexican_1000genomes + romanian-a_behar + tuscan_1000genomes @ 2.490095
13 colombian_bryc + mexican_1000genomes + romanian-a_behar + tuscan_1000genomes @ 2.510849
14 bulgarian_yunusbayev + colombian_bryc + mexican_1000genomes + tuscan_1000genomes @ 2.517408
15 bulgarian_yunusbayev + colombian_1000genomes + mexican_1000genomes + tuscan_hgdp @ 2.537231
16 bulgarian_yunusbayev + colombian_bryc + mexican_1000genomes + tuscan_hapmap @ 2.549104
17 bulgarian_yunusbayev + colombian_bryc + mexican_1000genomes + tuscan_hgdp @ 2.570498
18 colombian_bryc + mexican_1000genomes + romanian-a_behar + tuscan_hgdp @ 2.589331
19 colombian_bryc + mexican_1000genomes + romanian-a_behar + tuscan_hapmap @ 2.608614
20 bulgarian_yunusbayev + colombian_1000genomes + mexican_1000genomes + tuscan_hapmap @ 2.621033
 
Admix Results (sorted):

# Population Percent
1 Mediterranean 26.37
2 NE-Euro 22.41
3 American 19.05
4 Caucasian 16.56
5 SW-Asian 6.85
6 Baloch 3.87
7 W-African 2.52


Finished reading population data. 377 populations found.
16 components mode.

Hey fellow South American, we are somewhat similar hahah

You just have more Amerindian than me, but I've more W-African instead.
 
Hello Jangozo!
Apparently, we are typical specimens of the genetic admixtures of the Southern Cone of South America!
 
LeBrok, you can add my family to your Polish samples:

My father (FTDNA):


[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]S-Indian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.16[/TD]

[TD="bgcolor: #ffffff"]Baloch[/TD]
[TD="bgcolor: #FFFFFF, align: right"]6.58[/TD]

[TD="bgcolor: #ffffff"]Caucasian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]12.15[/TD]

[TD="bgcolor: #ffffff"]NE-Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]55.98[/TD]

[TD="bgcolor: #ffffff"]SE-Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.76[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.27[/TD]

[TD="bgcolor: #ffffff"]NE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Papuan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]American[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Mediterranean[/TD]
[TD="bgcolor: #FFFFFF, align: right"]22.10[/TD]

[TD="bgcolor: #ffffff"]SW-Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.86[/TD]

[TD="bgcolor: #ffffff"]San[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]E-African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.07[/TD]

[TD="bgcolor: #ffffff"]W-African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

My mother (FTDNA):


[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]S-Indian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Baloch[/TD]
[TD="bgcolor: #FFFFFF, align: right"]9.61[/TD]

[TD="bgcolor: #ffffff"]Caucasian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]9.82[/TD]

[TD="bgcolor: #ffffff"]NE-Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]56.11[/TD]

[TD="bgcolor: #ffffff"]SE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.89[/TD]

[TD="bgcolor: #ffffff"]NE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Papuan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]American[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.20[/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Mediterranean[/TD]
[TD="bgcolor: #FFFFFF, align: right"]21.51[/TD]

[TD="bgcolor: #ffffff"]SW-Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.86[/TD]

[TD="bgcolor: #ffffff"]San[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]E-African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]W-African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

Maternal grandma (FTDNA):


[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]S-Indian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Baloch[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.35[/TD]

[TD="bgcolor: #ffffff"]Caucasian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]8.32[/TD]

[TD="bgcolor: #ffffff"]NE-Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]55.89[/TD]

[TD="bgcolor: #ffffff"]SE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.08[/TD]

[TD="bgcolor: #ffffff"]NE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Papuan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]American[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.23[/TD]

[TD="bgcolor: #ffffff"]Mediterranean[/TD]
[TD="bgcolor: #FFFFFF, align: right"]23.86[/TD]

[TD="bgcolor: #ffffff"]SW-Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.27[/TD]

[TD="bgcolor: #ffffff"]San[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]E-African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]W-African[/TD]
[TD="bgcolor: #ffffff, align: right"]-
[/TD]

My results (FTDNA):


[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]S-Indian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Baloch[/TD]
[TD="bgcolor: #FFFFFF, align: right"]9.22[/TD]

[TD="bgcolor: #ffffff"]Caucasian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.95[/TD]

[TD="bgcolor: #ffffff"]NE-Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]56.20[/TD]

[TD="bgcolor: #ffffff"]SE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]NE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Papuan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]American[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.34[/TD]

[TD="bgcolor: #ffffff"]Mediterranean[/TD]
[TD="bgcolor: #FFFFFF, align: right"]22.10[/TD]

[TD="bgcolor: #ffffff"]SW-Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.19[/TD]

[TD="bgcolor: #ffffff"]San[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]E-African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]W-African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]
 
Hi, LeBrok. Results from Auvergne, France. Quite predictable, I guess...

NE Euro : 38.97
Mediterranean : 37.48
Caucasian : 11.91
Baloch : 6.90
SW Asian : 4.32
Siberian : 0.20
E-African : 0.17
 
LeBrok, you can add my family to your Polish samples:


Maternal grandma (FTDNA):


[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]S-Indian[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Baloch[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.35[/TD]

[TD="bgcolor: #ffffff"]Caucasian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]8.32[/TD]

[TD="bgcolor: #ffffff"]NE-Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]55.89[/TD]

[TD="bgcolor: #ffffff"]SE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.08[/TD]

[TD="bgcolor: #ffffff"]NE-Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Papuan[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]American[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.23[/TD]

[TD="bgcolor: #ffffff"]Mediterranean[/TD]
[TD="bgcolor: #FFFFFF, align: right"]23.86[/TD]

[TD="bgcolor: #ffffff"]SW-Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.27[/TD]

[TD="bgcolor: #ffffff"]San[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]E-African[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Pygmy[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]W-African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]
Appreciated. Your maternal grandma looks interesting, more like someone from East Germany. I'm assuming, because I don't have East German samples yet, but definitely she has more Germanic like influance.
 
Hi, LeBrok. Results from Auvergne, France. Quite predictable, I guess...

NE Euro : 38.97
Mediterranean : 37.48
Caucasian : 11.91
Baloch : 6.90
SW Asian : 4.32
Siberian : 0.20
E-African : 0.17
Thanks, tables of page one updated.
 
Mine:
Admix Results (sorted):

#PopulationPercent
1NE-Euro50.95
2Mediterranean32.96
3Baloch9.44
4Caucasian4.74
5SW-Asian0.83
6Papuan0.49
7Siberian0.18
8Beringian0.14
9Pygmy0.14
10W-African0.13

Single Population Sharing:

#Population (source)Distance
1utahn-white (1000genomes)1.16
2british (1000genomes)2.06
3utahn-white (hapmap)2.49
4n-european (xing)3.57
5orcadian (hgdp)4.43
6french (hgdp)9.66
7hungarian (behar)12.5
8slovenian (xing)13.38
9ukranian (yunusbayev)17.76
10belorussian (behar)20.88
11spaniard (behar)21.45
12spaniard (1000genomes)22.29
13mordovian (yunusbayev)22.65
14russian (behar)23.69
15russian (hgdp)24.31
16lithuanian (behar)25.18
17romanian-a (behar)25.22
18italian (hgdp)26.13
19bulgarian (yunusbayev)27.51
20spain-basc (henn2012)27.56

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 91.9%utahn-white (hapmap)+8.1%spain-basc (henn2012)@0.62
2 85%utahn-white (1000genomes)+15%british (1000genomes)@1.12
3 99%utahn-white (1000genomes)+1%basque (hgdp)@1.12
4 98.9%utahn-white (1000genomes)+1.1%spain-basc (henn2012)@1.13
5 90.9%utahn-white (hapmap)+9.1%spaniard (1000genomes)@1.14
6 95.4%utahn-white (1000genomes)+4.6%orcadian (hgdp)@1.15
7 99.8%utahn-white (1000genomes)+0.2%papuan (hgdp)@1.15
8 99.7%utahn-white (1000genomes)+0.3%tunisia (henn2012)@1.15
9 99.6%utahn-white (1000genomes)+0.4%finnish (1000genomes)@1.15
10 99.9%utahn-white (1000genomes)+0.1%melanesian (hgdp)@1.16
11 99.9%utahn-white (1000genomes)+0.1%aus (reich)@1.16
12 99.8%utahn-white (1000genomes)+0.2%morocco-n (henn2012)@1.16
13 99.8%utahn-white (1000genomes)+0.2%mozabite (hgdp)@1.16
14 99.8%utahn-white (1000genomes)+0.2%saharawi (henn2012)@1.16
15 95.8%utahn-white (1000genomes)+4.2%utahn-white (hapmap)@1.16
16 99.6%utahn-white (1000genomes)+0.4%spaniard (1000genomes)@1.16
17 99.9%utahn-white (1000genomes)+0.1%morocco-s (henn2012)@1.16
18 99.8%utahn-white (1000genomes)+0.2%sardinian (hgdp)@1.16
19 99.9%utahn-white (1000genomes)+0.1%moroccan (behar)@1.16
20 99.9%utahn-white (1000genomes)+0.1%algeria (henn2012)@1.16

Father’s:
Admix Results (sorted):

#PopulationPercent
1NE-Euro48.88
2Mediterranean36.51
3Baloch9.88
4Caucasian3.21
5SW-Asian0.58
6Papuan0.53
7American0.32
8San0.09

Single Population Sharing:

#Population (source)Distance
1british (1000genomes)3.56
2utahn-white (1000genomes)4.5
3orcadian (hgdp)5.83
4utahn-white (hapmap)6.41
5n-european (xing)7.59
6french (hgdp)8.47
7hungarian (behar)15.72
8slovenian (xing)16.9
9spaniard (behar)19
10spaniard (1000genomes)19.72
11ukranian (yunusbayev)21.82
12spain-basc (henn2012)23.69
13belorussian (behar)24.89
14basque (hgdp)25.33
15italian (hgdp)25.43
16mordovian (yunusbayev)26.59
17romanian-a (behar)26.81
18russian (behar)27.72
19russian (hgdp)28.17
20lithuanian (behar)28.86

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 87.3%british (1000genomes)+12.7%spain-basc (henn2012)@0.9
2 88%british (1000genomes)+12%basque (hgdp)@0.92
3 79%utahn-white (hapmap)+21%spain-basc (henn2012)@1.13
4 88.6%orcadian (hgdp)+11.4%sardinian (hgdp)@1.16
5 85.7%utahn-white (1000genomes)+14.3%basque (hgdp)@1.57
6 77.8%orcadian (hgdp)+22.2%spaniard (1000genomes)@1.58
7 84.9%utahn-white (1000genomes)+15.1%spain-basc (henn2012)@1.62
8 93.5%british (1000genomes)+6.5%sardinian (hgdp)@1.81
9 86.7%british (1000genomes)+13.3%spaniard (1000genomes)@1.89
10 77.7%n-european (xing)+22.3%basque (hgdp)@2.33
11 95.4%british (1000genomes)+4.6%tunisia (henn2012)@2.34
12 81.6%orcadian (hgdp)+18.4%spain-basc (henn2012)@2.36
13 76.6%n-european (xing)+23.4%spain-basc (henn2012)@2.39
14 82.7%orcadian (hgdp)+17.3%basque (hgdp)@2.45
15 95.6%british (1000genomes)+4.4%morocco-n (henn2012)@2.55
16 60.7%orcadian (hgdp)+39.3%french (hgdp)@2.64
17 77.6%british (1000genomes)+22.4%french (hgdp)@2.7
18 96.4%british (1000genomes)+3.6%mozabite (hgdp)@2.86
19 96.3%british (1000genomes)+3.7%algeria (henn2012)@2.86
20 96.6%british (1000genomes)+3.4%saharawi (henn2012)@2.9

Mother’s:
Admix Results (sorted):

#PopulationPercent
1NE-Euro50.15
2Mediterranean27.3
3Baloch10.92
4Caucasian8.54
5American1
6Siberian0.75
7SW-Asian0.72
8Papuan0.41
9San0.21

Single Population Sharing:

#Population (source)Distance
1n-european (xing)4.48
2utahn-white (hapmap)5.33
3utahn-white (1000genomes)5.85
4hungarian (behar)7.43
5british (1000genomes)7.56
6slovenian (xing)8.34
7orcadian (hgdp)8.81
8french (hgdp)11.52
9ukranian (yunusbayev)13.19
10belorussian (behar)17.51
11mordovian (yunusbayev)18.2
12russian (behar)19.69
13russian (hgdp)20.69
14romanian-a (behar)21.1
15lithuanian (behar)23.15
16bulgarian (yunusbayev)23.41
17spaniard (behar)23.66
18spaniard (1000genomes)24.71
19italian (hgdp)25.42
20chuvash (behar)25.53

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 92%n-european (xing)+8%urkarah (xing)@1.46
2 90.5%utahn-white (hapmap)+9.5%urkarah (xing)@1.48
3 91.3%utahn-white (hapmap)+8.7%chechen (yunusbayev)@1.56
4 90.1%utahn-white (hapmap)+9.9%stalskoe (xing)@1.57
5 92.6%n-european (xing)+7.4%lezgin (behar)@1.57
6 91.2%utahn-white (hapmap)+8.8%lezgin (behar)@1.62
7 91.8%n-european (xing)+8.2%stalskoe (xing)@1.63
8 91.3%utahn-white (hapmap)+8.7%kumyk (yunusbayev)@1.7
9 92.2%utahn-white (hapmap)+7.8%north-ossetian (yunusbayev)@1.79
10 92.1%utahn-white (hapmap)+7.9%adygei (hgdp)@1.79
11 91.9%utahn-white (hapmap)+8.1%balkar (yunusbayev)@1.8
12 93%n-european (xing)+7%chechen (yunusbayev)@1.86
13 92.9%n-european (xing)+7.1%kumyk (yunusbayev)@1.92
14 90.2%utahn-white (hapmap)+9.8%nogai (yunusbayev)@1.98
15 91.9%n-european (xing)+8.1%tajik (yunusbayev)@2.01
16 54.6%hungarian (behar)+45.4%orcadian (hgdp)@2.08
17 93.6%utahn-white (hapmap)+6.4%abhkasian (yunusbayev)@2.13
18 93.8%n-european (xing)+6.2%north-ossetian (yunusbayev)@2.13
19 93.2%utahn-white (hapmap)+6.8%georgian (harappa)@2.14
20 93.7%n-european (xing)+6.3%adygei (hgdp)@2.15
 
Mine:

Father’s:
Admix Results (sorted):

#PopulationPercent
1NE-Euro48.88
2Mediterranean36.51
3Baloch9.88
4Caucasian3.21
5SW-Asian0.58
6Papuan0.53
7American0.32
8San0.09
Your father's numbers look very interesting. Possible Irish-South French mix? It is hard to be sure. Definitely West European with North/South mix.
 
Your father's numbers look very interesting. Possible Irish-South French mix? It is hard to be sure. Definitely West European with North/South mix.

Afaik my father’s family is English and Scottish, nothing else. His 23andme shows trace Iberian though... having a difficult time IDing anything in my family tree...

His 23andme, for what it’s worth:
European
99.9%
British & Irish
71.7%
United Kingdom
French & German
10.1%
Netherlands
Scandinavian
2.5%
Iberian
0.1%
Broadly Northwestern European
15.0%
Broadly Southern European
0.3%
Broadly European
0.3%
East Asian & Native American
0.1%
Southeast Asian
0.1%

So, who knows?
 
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