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Admixture of harra test

Sile

Sile

Banned
Messages
5,099
Reaction score
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Points
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Location
Australia
Ethnic group
North Alpine Italian
Y-DNA haplogroup
T1a2 -Z19945..Jura
mtDNA haplogroup
H95a1 ..Pannoni
Tested my son's AuDna to see what percent of his mother's 1 % of far east is present. seems like nearly nothing except the NE-Euro. Others seem more euro.

I do not know what Utahn-white means.


Admix Results (sorted):

Population

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

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

[TD="width: 30, align: center"]1[/TD]
[TD="width: 120"]NE-Euro[/TD]
[TD="width: 50, align: right"]35.62[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]31.79[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]19.42[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]8.18[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]4.34[/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 italian @ 9.498152
2 romanian-a @ 10.924433
3 serbian @ 12.658248
4 french @ 12.962022
5 bulgarian @ 13.045597
6 tuscan @ 14.974964
7 tuscan @ 15.314530
8 spaniard @ 15.543548
9 tuscan @ 15.821586
10 hungarian @ 16.172642
11 spaniard @ 16.964069
12 slovenian @ 18.422293
13 utahn-white @ 21.121178
14 n-european @ 21.727547
15 utahn-white @ 22.636168
16 british @ 22.777712
17 ashkenazi @ 25.096226
18 orcadian @ 25.849720
19 puerto-rican @ 26.718153
20 ukranian @ 28.096972

Using 2 populations approximation:
1 50% tuscan +50% utahn-white @ 2.826233


Using 3 populations approximation:
1 50% french +25% romanian-a +25% tuscan @ 1.494231


Using 4 populations approximation:
1 italian + orcadian + romanian-a + tuscan @ 0.975738
2 italian + orcadian + romanian-a + tuscan @ 1.045656
3 italian + orcadian + romanian-a + tuscan @ 1.158805
4 bulgarian + french + french + tuscan @ 1.245187
5 bulgarian + french + french + tuscan @ 1.273891
6 bulgarian + italian + orcadian + tuscan @ 1.346085
7 british + italian + serbian + tuscan @ 1.361426
8 bulgarian + french + french + tuscan @ 1.364234
9 british + italian + romanian-a + tuscan @ 1.398766
10 british + italian + serbian + tuscan @ 1.426800
11 bulgarian + italian + orcadian + tuscan @ 1.444741
12 british + italian + serbian + tuscan @ 1.448072
13 british + italian + romanian-a + tuscan @ 1.467059
14 french + french + romanian-a + tuscan @ 1.494231
15 french + french + romanian-a + tuscan @ 1.553718
16 italian + serbian + tuscan + utahn-white @ 1.572962
17 british + italian + romanian-a + tuscan @ 1.591865
18 italian + serbian + tuscan + utahn-white @ 1.607553
19 bulgarian + italian + orcadian + tuscan @ 1.619717
20 french + n-european + tuscan + tuscan @ 1.694496

Done.
 
Sile said:
Tested my son's AuDna to see what percent of his mother's 1 % of far east is present. seems like nearly nothing except the NE-Euro. Others seem more euro.

I do not know what Utahn-white means.


Admix Results (sorted):

Population
NE-Euro

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

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

[TD="align: center"]1[/TD]

[TD="width: 50, align: right"]35.62[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]31.79[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]19.42[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]8.18[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]4.34[/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 italian @ 9.498152
2 romanian-a @ 10.924433
3 serbian @ 12.658248
4 french @ 12.962022
5 bulgarian @ 13.045597
6 tuscan @ 14.974964
7 tuscan @ 15.314530
8 spaniard @ 15.543548
9 tuscan @ 15.821586
10 hungarian @ 16.172642
11 spaniard @ 16.964069
12 slovenian @ 18.422293
13 utahn-white @ 21.121178
14 n-european @ 21.727547
15 utahn-white @ 22.636168
16 british @ 22.777712
17 ashkenazi @ 25.096226
18 orcadian @ 25.849720
19 puerto-rican @ 26.718153
20 ukranian @ 28.096972

Using 2 populations approximation:
1 50% tuscan +50% utahn-white @ 2.826233


Using 3 populations approximation:
1 50% french +25% romanian-a +25% tuscan @ 1.494231


Using 4 populations approximation:
1 italian + orcadian + romanian-a + tuscan @ 0.975738
2 italian + orcadian + romanian-a + tuscan @ 1.045656
3 italian + orcadian + romanian-a + tuscan @ 1.158805
4 bulgarian + french + french + tuscan @ 1.245187
5 bulgarian + french + french + tuscan @ 1.273891
6 bulgarian + italian + orcadian + tuscan @ 1.346085
7 british + italian + serbian + tuscan @ 1.361426
8 bulgarian + french + french + tuscan @ 1.364234
9 british + italian + romanian-a + tuscan @ 1.398766
10 british + italian + serbian + tuscan @ 1.426800
11 bulgarian + italian + orcadian + tuscan @ 1.444741
12 british + italian + serbian + tuscan @ 1.448072
13 british + italian + romanian-a + tuscan @ 1.467059
14 french + french + romanian-a + tuscan @ 1.494231
15 french + french + romanian-a + tuscan @ 1.553718
16 italian + serbian + tuscan + utahn-white @ 1.572962
17 british + italian + romanian-a + tuscan @ 1.591865
18 italian + serbian + tuscan + utahn-white @ 1.607553
19 bulgarian + italian + orcadian + tuscan @ 1.619717
20 french + n-european + tuscan + tuscan @ 1.694496

Done.
Click to expand...

Utah-white means CEU. The sample was taken in Utah in the U.S., so it's a mixture of British Isles and probably some German and Scandinavian...a lot of Mormons.
 
Here are my results:

Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.

...

Admix Results (sorted):

Population

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

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

[TD="width: 30, align: center"]1[/TD]
[TD="width: 120"]NE-Euro[/TD]
[TD="width: 50, align: right"]50.12[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]28.89[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]12.11[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]6.81[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]1.32[/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 utahn-white @ 4.314427
2 n-european @ 4.333402
3 utahn-white @ 4.463135
4 british @ 6.042053
5 orcadian @ 7.489377
6 hungarian @ 10.579130
7 slovenian @ 11.594049
8 french @ 11.793410
9 ukranian @ 16.317205
10 serbian @ 20.329966
11 belorussian @ 20.602507
12 mordovian @ 21.225517
13 russian @ 23.296566
14 russian @ 23.684668
15 spaniard @ 25.016251
16 romanian-a @ 25.174879
17 spaniard @ 26.082771
18 lithuanian @ 26.167206
19 bulgarian @ 27.822527
20 chuvash @ 28.365906

Using 2 populations approximation:
1 50% hungarian +50% orcadian @ 2.962615


Using 3 populations approximation:
1 50% orcadian +25% orcadian +25% serbian @ 1.772782


Using 4 populations approximation:
1 orcadian + orcadian + orcadian + serbian @ 1.772782
2 orcadian + orcadian + serbian + utahn-white @ 2.118028
3 british + orcadian + orcadian + serbian @ 2.149194
4 orcadian + orcadian + serbian + utahn-white @ 2.278134
5 n-european + orcadian + orcadian + serbian @ 2.424904
6 orcadian + orcadian + orcadian + romanian-a @ 2.543835
7 british + orcadian + serbian + utahn-white @ 2.686454
8 british + british + orcadian + serbian @ 2.731281
9 hungarian + orcadian + utahn-white + utahn-white @ 2.838972
10 hungarian + orcadian + utahn-white + utahn-white @ 2.859728
11 orcadian + serbian + utahn-white + utahn-white @ 2.915000
12 british + orcadian + serbian + utahn-white @ 2.931292
13 bulgarian + orcadian + orcadian + orcadian @ 2.932683
14 british + british + french + mordovian @ 2.960584
15 hungarian + hungarian + orcadian + orcadian @ 2.962615
16 british + hungarian + orcadian + utahn-white @ 2.973415
17 british + hungarian + orcadian + utahn-white @ 2.979458
18 orcadian + slovenian + utahn-white + utahn-white @ 2.989290
19 hungarian + n-european + orcadian + utahn-white @ 3.002281
20 british + hungarian + utahn-white + utahn-white @ 3.004771
 
I'm french Canadian, originally from France. So this seems pretty accurate




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"]41.49[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]35.6[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]10.04[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]10[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]1.18[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Papuan[/TD]
[TD="width: 50, align: right"]0.89[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]American[/TD]
[TD="width: 50, align: right"]0.33[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]SE-Asian[/TD]
[TD="width: 50, align: right"]0.26[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]Beringian[/TD]
[TD="width: 50, align: right"]0.21[/TD]

Single Population Sharing:

Population (source)

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

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

[TD="align: center"]1[/TD]
[TD="width: 220"]french (hgdp)[/TD]
[TD="width: 50, align: right"]2.11[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]utahn-white (1000genomes)[/TD]
[TD="width: 50, align: right"]9.81[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]british (1000genomes)[/TD]
[TD="width: 50, align: right"]10.67[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]utahn-white (hapmap)[/TD]
[TD="width: 50, align: right"]11.84[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]n-european (xing)[/TD]
[TD="width: 50, align: right"]11.85[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]spaniard (behar)[/TD]
[TD="width: 50, align: right"]12.76[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]orcadian (hgdp)[/TD]
[TD="width: 50, align: right"]13.52[/TD]

[TD="width: 40, align: center"]8[/TD]
[TD="width: 220"]hungarian (behar)[/TD]
[TD="width: 50, align: right"]13.64[/TD]

[TD="width: 40, align: center"]9[/TD]
[TD="width: 220"]spaniard (1000genomes)[/TD]
[TD="width: 50, align: right"]13.9[/TD]

[TD="width: 40, align: center"]10[/TD]
[TD="width: 220"]slovenian (xing)[/TD]
[TD="width: 50, align: right"]15.65[/TD]

[TD="width: 40, align: center"]11[/TD]
[TD="width: 220"]italian (hgdp)[/TD]
[TD="width: 50, align: right"]16.81[/TD]

[TD="width: 40, align: center"]12[/TD]
[TD="width: 220"]romanian-a (behar)[/TD]
[TD="width: 50, align: right"]19.51[/TD]

[TD="width: 40, align: center"]13[/TD]
[TD="width: 220"]bulgarian (yunusbayev)[/TD]
[TD="width: 50, align: right"]21.75[/TD]

[TD="width: 40, align: center"]14[/TD]
[TD="width: 220"]spain-basc (henn2012)[/TD]
[TD="width: 50, align: right"]22.51[/TD]

[TD="width: 40, align: center"]15[/TD]
[TD="width: 220"]ukranian (yunusbayev)[/TD]
[TD="width: 50, align: right"]23.36[/TD]

[TD="width: 40, align: center"]16[/TD]
[TD="width: 220"]tuscan (hapmap)[/TD]
[TD="width: 50, align: right"]23.69[/TD]

[TD="width: 40, align: center"]17[/TD]
[TD="width: 220"]tuscan (hgdp)[/TD]
[TD="width: 50, align: right"]24.14[/TD]

[TD="width: 40, align: center"]18[/TD]
[TD="width: 220"]basque (hgdp)[/TD]
[TD="width: 50, align: right"]24.3[/TD]

[TD="width: 40, align: center"]19[/TD]
[TD="width: 220"]tuscan (1000genomes)[/TD]
[TD="width: 50, align: right"]24.7[/TD]

[TD="width: 40, align: center"]20[/TD]
[TD="width: 220"]puerto-rican (1000genomes)[/TD]
[TD="width: 50, align: right"]27.28[/TD]

Mixed Mode Population Sharing:

+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@
+@

[TD="align: center"] # [/TD]
[TD="width: 15"] [/TD]
[TD="colspan: 3"] Primary Population (source) [/TD]
[TD="colspan: 3"] Secondary Population (source) [/TD]
[TD="align: right"] Distance [/TD]

[TD="width: 20, align: center"]1[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.4%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.6%[/TD]
[TD="width: 200"]kalash (hgdp)[/TD]

[TD="width: 50, align: right"]1.44[/TD]

[TD="width: 20, align: center"]2[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.7%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.3%[/TD]
[TD="width: 200"]brahui (hgdp)[/TD]

[TD="width: 50, align: right"]1.47[/TD]

[TD="width: 20, align: center"]3[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.7%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.3%[/TD]
[TD="width: 200"]balochi (hgdp)[/TD]

[TD="width: 50, align: right"]1.48[/TD]

[TD="width: 20, align: center"]4[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]96.8%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]3.2%[/TD]
[TD="width: 200"]tajik (yunusbayev)[/TD]

[TD="width: 50, align: right"]1.48[/TD]

[TD="width: 20, align: center"]5[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.7%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.3%[/TD]
[TD="width: 200"]makrani (hgdp)[/TD]

[TD="width: 50, align: right"]1.49[/TD]

[TD="width: 20, align: center"]6[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.5%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.5%[/TD]
[TD="width: 200"]bhatia (harappa)[/TD]

[TD="width: 50, align: right"]1.51[/TD]

[TD="width: 20, align: center"]7[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.4%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.6%[/TD]
[TD="width: 200"]pathan (hgdp)[/TD]

[TD="width: 50, align: right"]1.52[/TD]

[TD="width: 20, align: center"]8[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.5%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.5%[/TD]
[TD="width: 200"]burusho (hgdp)[/TD]

[TD="width: 50, align: right"]1.53[/TD]

[TD="width: 20, align: center"]9[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.3%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.7%[/TD]
[TD="width: 200"]pashtun (harappa)[/TD]

[TD="width: 50, align: right"]1.54[/TD]

[TD="width: 20, align: center"]10[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.2%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.8%[/TD]
[TD="width: 200"]urkarah (xing)[/TD]

[TD="width: 50, align: right"]1.55[/TD]

[TD="width: 20, align: center"]11[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.4%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.6%[/TD]
[TD="width: 200"]lezgin (behar)[/TD]

[TD="width: 50, align: right"]1.57[/TD]

[TD="width: 20, align: center"]12[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.6%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.4%[/TD]
[TD="width: 200"]sindhi (harappa)[/TD]

[TD="width: 50, align: right"]1.58[/TD]

[TD="width: 20, align: center"]13[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.1%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.9%[/TD]
[TD="width: 200"]stalskoe (xing)[/TD]

[TD="width: 50, align: right"]1.58[/TD]

[TD="width: 20, align: center"]14[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.3%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.7%[/TD]
[TD="width: 200"]haryana-jatt (harappa)[/TD]

[TD="width: 50, align: right"]1.58[/TD]

[TD="width: 20, align: center"]15[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.7%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.3%[/TD]
[TD="width: 200"]punjabi-arain (xing)[/TD]

[TD="width: 50, align: right"]1.58[/TD]

[TD="width: 20, align: center"]16[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.5%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.5%[/TD]
[TD="width: 200"]punjabi-jatt-sikh (harappa)[/TD]

[TD="width: 50, align: right"]1.59[/TD]

[TD="width: 20, align: center"]17[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.6%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.4%[/TD]
[TD="width: 200"]punjabi-khatri (harappa)[/TD]

[TD="width: 50, align: right"]1.59[/TD]

[TD="width: 20, align: center"]18[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.7%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.3%[/TD]
[TD="width: 200"]punjabi-jatt-muslim (harappa)[/TD]

[TD="width: 50, align: right"]1.61[/TD]

[TD="width: 20, align: center"]19[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.7%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.3%[/TD]
[TD="width: 200"]kashmiri (harappa)[/TD]

[TD="width: 50, align: right"]1.61[/TD]

[TD="width: 20, align: center"]20[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]97.8%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]2.2%[/TD]
[TD="width: 200"]kashmiri-pandit (reich)[/TD]

[TD="width: 50, align: right"]1.62

[/TD]
 
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