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

Greek with parents from Thessaly and Central Greece:

Admix Results (sorted):


# Population Percent
1 Caucasian 33.96
2 NE-Euro 27.6
3 Mediterranean 23.53
4 SW-Asian 7.87
5 Baloch 5.75
6 Papuan 0.99
7 Pygmy 0.21
8 San 0.07


Single Population Sharing:


# Population (source) Distance
1 bulgarian (yunusbayev) 9.24
2 ashkenazi (harappa) 9.35
3 tuscan (1000genomes) 9.69
4 tuscan (hgdp) 10.19
5 tuscan (hapmap) 10.84
6 romanian-a (behar) 11.12
7 ashkenazy-jew (behar) 12.8
8 italian (hgdp) 16.79
9 turk-aydin (hodoglugil) 18.01
10 sephardic-jew (behar) 19.62
11 morocco-jew (behar) 21.31
12 turk-istanbul (hodoglugil) 24.04
13 turk-kayseri (hodoglugil) 25.34
14 cypriot (behar) 25.95
15 turk (behar) 26.19
16 hungarian (behar) 26.37
17 nogai (yunusbayev) 26.53
18 romanian-b (behar) 26.63
19 stalskoe (xing) 26.98
20 slovenian (xing) 27.6
 
[h=2]HarappaWorld 4-Ancestors Oracle[/h]Admix Results (sorted):

Population

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

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

[TD="align: center"]1[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]40.53[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]NE-Euro[/TD]
[TD="width: 50, align: right"]33.16[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]12.19[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]6.23[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]4.71[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]E-African[/TD]
[TD="width: 50, align: right"]1.37
[/TD]


[FONT=&quot]Using 1 population approximation:[/FONT]
[FONT=&quot]1 spaniard_behar @ 4.192164[/FONT]
[FONT=&quot]2 spaniard_1000genomes @ 5.461362[/FONT]
[FONT=&quot]3 french_hgdp @ 11.024232[/FONT]
[FONT=&quot]4 italian_hgdp @ 11.484737[/FONT]
[FONT=&quot]5 spain-basc_henn2012 @ 19.923342[/FONT]
[FONT=&quot]6 tuscan_hapmap @ 20.075504[/FONT]
[FONT=&quot]7 tuscan_hgdp @ 20.741625[/FONT]
[FONT=&quot]8 utahn-white_1000genomes @ 21.305820[/FONT]
[FONT=&quot]9 tuscan_1000genomes @ 21.413197[/FONT]
[FONT=&quot]10 basque_hgdp @ 21.718237[/FONT]
[FONT=&quot]11 british_1000genomes @ 22.084120[/FONT]
[FONT=&quot]12 romanian-a_behar @ 22.236473[/FONT]
[FONT=&quot]13 puerto-rican_1000genomes @ 22.834148[/FONT]
[FONT=&quot]14 hungarian_behar @ 22.981686[/FONT]
[FONT=&quot]15 n-european_xing @ 23.255035[/FONT]
[FONT=&quot]16 utahn-white_hapmap @ 23.500351[/FONT]
[FONT=&quot]17 serbian_harappa @ 23.748753[/FONT]
[FONT=&quot]18 bulgarian_yunusbayev @ 24.170973[/FONT]
[FONT=&quot]19 orcadian_hgdp @ 25.183092[/FONT]
[FONT=&quot]20 slovenian_xing @ 25.215593[/FONT]

[FONT=&quot]Using 2 populations approximation:[/FONT]
[FONT=&quot]1 50% basque_hgdp +50% romanian-a_behar @ 3.103465[/FONT]


[FONT=&quot]Using 3 populations approximation:[/FONT]
[FONT=&quot]1 50% basque_hgdp +25% morocco-jew_behar +25% ukranian_yunusbayev @ 1.715293


[/FONT][FONT=&quot]Using 4 populations approximation:[/FONT]
[FONT=&quot]++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++[/FONT]
[FONT=&quot]1 french_hgdp + italian_hgdp + spaniard_1000genomes + spaniard_1000genomes @ 1.584900[/FONT]
[FONT=&quot]2 ashkenazy-jew_behar + basque_hgdp + slovenian_xing + spain-basc_henn2012 @ 1.712517[/FONT]
[FONT=&quot]3 basque_hgdp + basque_hgdp + morocco-jew_behar + ukranian_yunusbayev @ 1.715293[/FONT]
[FONT=&quot]4 ashkenazy-jew_behar + basque_hgdp + basque_hgdp + slovenian_xing @ 1.717854[/FONT]
[FONT=&quot]5 french_hgdp + italian_hgdp + spaniard_1000genomes + spaniard_behar @ 1.775419[/FONT]
[FONT=&quot]6 ashkenazi_harappa + basque_hgdp + hungarian_behar + spain-basc_henn2012 @ 1.775457[/FONT]
[FONT=&quot]7 basque_hgdp + basque_hgdp + sephardic-jew_behar + ukranian_yunusbayev @ 1.792903[/FONT]
[FONT=&quot]8 ashkenazi_harappa + basque_hgdp + slovenian_xing + spain-basc_henn2012 @ 1.838932[/FONT]
[FONT=&quot]9 ashkenazi_harappa + hungarian_behar + spain-basc_henn2012 + spain-basc_henn2012 @ 1.849397[/FONT]
[FONT=&quot]10 ashkenazi_harappa + basque_hgdp + spaniard_1000genomes + utahn-white_1000genomes @ 1.887787[/FONT]
[FONT=&quot]11 ashkenazi_harappa + basque_hgdp + basque_hgdp + slovenian_xing @ 1.887826[/FONT]
[FONT=&quot]12 ashkenazi_harappa + basque_hgdp + basque_hgdp + hungarian_behar @ 1.891542[/FONT]
[FONT=&quot]13 ashkenazy-jew_behar + slovenian_xing + spain-basc_henn2012 + spain-basc_henn2012 @ 1.896737[/FONT]
[FONT=&quot]14 ashkenazy-jew_behar + basque_hgdp + hungarian_behar + spain-basc_henn2012 @ 1.911557[/FONT]
[FONT=&quot]15 basque_hgdp + morocco-jew_behar + spain-basc_henn2012 + ukranian_yunusbayev @ 1.921234[/FONT]
[FONT=&quot]16 ashkenazi_harappa + basque_hgdp + british_1000genomes + spaniard_1000genomes @ 1.941660[/FONT]
[FONT=&quot]17 mordovian_yunusbayev + sardinian_hgdp + spaniard_1000genomes + spaniard_1000genomes @ 1.945382[/FONT]
[FONT=&quot]18 ashkenazy-jew_behar + hungarian_behar + spain-basc_henn2012 + spain-basc_henn2012 @ 1.993223[/FONT]
[FONT=&quot]19 ashkenazi_harappa + slovenian_xing + spain-basc_henn2012 + spain-basc_henn2012 @ 2.008394[/FONT]
[FONT=&quot]20 mordovian_yunusbayev + sardinian_hgdp + spaniard_1000genomes + spaniard_behar @ 2.014917[/FONT][FONT=&quot]
[/FONT]
 
Carlos said:
HarappaWorld 4-Ancestors Oracle

Admix Results (sorted):

Population
Mediterranean

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

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

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

[TD="width: 50, align: right"]40.53[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]NE-Euro[/TD]
[TD="width: 50, align: right"]33.16[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]12.19[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]6.23[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]4.71[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]E-African[/TD]
[TD="width: 50, align: right"]1.37[/TD]


Using 1 population approximation:
1 spaniard_behar @ 4.192164
2 spaniard_1000genomes @ 5.461362
3 french_hgdp @ 11.024232
4 italian_hgdp @ 11.484737
5 spain-basc_henn2012 @ 19.923342
6 tuscan_hapmap @ 20.075504
7 tuscan_hgdp @ 20.741625
8 utahn-white_1000genomes @ 21.305820
9 tuscan_1000genomes @ 21.413197
10 basque_hgdp @ 21.718237
11 british_1000genomes @ 22.084120
12 romanian-a_behar @ 22.236473
13 puerto-rican_1000genomes @ 22.834148
14 hungarian_behar @ 22.981686
15 n-european_xing @ 23.255035
16 utahn-white_hapmap @ 23.500351
17 serbian_harappa @ 23.748753
18 bulgarian_yunusbayev @ 24.170973
19 orcadian_hgdp @ 25.183092
20 slovenian_xing @ 25.215593

Using 2 populations approximation:
1 50% basque_hgdp +50% romanian-a_behar @ 3.103465


Using 3 populations approximation:
1 50% basque_hgdp +25% morocco-jew_behar +25% ukranian_yunusbayev @ 1.715293


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 french_hgdp + italian_hgdp + spaniard_1000genomes + spaniard_1000genomes @ 1.584900
2 ashkenazy-jew_behar + basque_hgdp + slovenian_xing + spain-basc_henn2012 @ 1.712517
3 basque_hgdp + basque_hgdp + morocco-jew_behar + ukranian_yunusbayev @ 1.715293
4 ashkenazy-jew_behar + basque_hgdp + basque_hgdp + slovenian_xing @ 1.717854
5 french_hgdp + italian_hgdp + spaniard_1000genomes + spaniard_behar @ 1.775419
6 ashkenazi_harappa + basque_hgdp + hungarian_behar + spain-basc_henn2012 @ 1.775457
7 basque_hgdp + basque_hgdp + sephardic-jew_behar + ukranian_yunusbayev @ 1.792903
8 ashkenazi_harappa + basque_hgdp + slovenian_xing + spain-basc_henn2012 @ 1.838932
9 ashkenazi_harappa + hungarian_behar + spain-basc_henn2012 + spain-basc_henn2012 @ 1.849397
10 ashkenazi_harappa + basque_hgdp + spaniard_1000genomes + utahn-white_1000genomes @ 1.887787
11 ashkenazi_harappa + basque_hgdp + basque_hgdp + slovenian_xing @ 1.887826
12 ashkenazi_harappa + basque_hgdp + basque_hgdp + hungarian_behar @ 1.891542
13 ashkenazy-jew_behar + slovenian_xing + spain-basc_henn2012 + spain-basc_henn2012 @ 1.896737
14 ashkenazy-jew_behar + basque_hgdp + hungarian_behar + spain-basc_henn2012 @ 1.911557
15 basque_hgdp + morocco-jew_behar + spain-basc_henn2012 + ukranian_yunusbayev @ 1.921234
16 ashkenazi_harappa + basque_hgdp + british_1000genomes + spaniard_1000genomes @ 1.941660
17 mordovian_yunusbayev + sardinian_hgdp + spaniard_1000genomes + spaniard_1000genomes @ 1.945382
18 ashkenazy-jew_behar + hungarian_behar + spain-basc_henn2012 + spain-basc_henn2012 @ 1.993223
19 ashkenazi_harappa + slovenian_xing + spain-basc_henn2012 + spain-basc_henn2012 @ 2.008394
20 mordovian_yunusbayev + sardinian_hgdp + spaniard_1000genomes + spaniard_behar @ 2.014917
Click to expand...
Are your parents from same region of Spain? If yes which one, please.
 
^^^

My father and my mother are from a town in the province of Cádiz. My mother's oldest ancestress was from Grazalema and her great-grandmother's father was from Parauta (Malaga). The oldest paternal ancestor of my father was from Montejaque (Málaga) and that of his mother from a village near Alahurin de la Torre (Málaga) Torrealquería I remember.
 
This is the geographical area of my father and mother.

https://en.wikipedia.org/wiki/Sierra_de_C%C3%A1diz
https://es.wikipedia.org/wiki/Sierra_de_Cádiz
800px-Comarca_de_la_Sierra_de_C%C3%A1diz.svg.png


Sierra_de_C%C3%A1diz.png


Share the result of your conclusion.
 
Admix Results (sorted):
[TABLE="width: 0"]
[TR]
[TD]#
[/TD]
[TD]Population
[/TD]
[TD]Percent
[/TD]
[/TR]
[TR]
[TD]1
[/TD]
[TD]NE-Euro
[/TD]
[TD]39,98
[/TD]
[/TR]
[TR]
[TD]2
[/TD]
[TD]Mediterranean
[/TD]
[TD]28,32
[/TD]
[/TR]
[TR]
[TD]3
[/TD]
[TD]Caucasian
[/TD]
[TD]18,25
[/TD]
[/TR]
[TR]
[TD]4
[/TD]
[TD]Baloch
[/TD]
[TD]7,22
[/TD]
[/TR]
[TR]
[TD]5
[/TD]
[TD]SW-Asian
[/TD]
[TD]4,33
[/TD]
[/TR]
[TR]
[TD]6
[/TD]
[TD]Siberian
[/TD]
[TD]1,13
[/TD]
[/TR]
[TR]
[TD]7
[/TD]
[TD]Papuan
[/TD]
[TD]0,57
[/TD]
[/TR]
[TR]
[TD]8
[/TD]
[TD]American
[/TD]
[TD]0,19
[/TD]
[/TR]
[/TABLE]

Single Population Sharing:
[TABLE="width: 0"]
[TR]
[TD]#
[/TD]
[TD]Population (source)
[/TD]
[TD]Distance
[/TD]
[/TR]
[TR]
[TD]1
[/TD]
[TD]romanian-a (behar)
[/TD]
[TD]9,01
[/TD]
[/TR]
[TR]
[TD]2
[/TD]
[TD]hungarian (behar)
[/TD]
[TD]9,7
[/TD]
[/TR]
[TR]
[TD]3
[/TD]
[TD]bulgarian (yunusbayev)
[/TD]
[TD]11,3
[/TD]
[/TR]
[TR]
[TD]4
[/TD]
[TD]french (hgdp)
[/TD]
[TD]11,35
[/TD]
[/TR]
[TR]
[TD]5
[/TD]
[TD]slovenian (xing)
[/TD]
[TD]11,7
[/TD]
[/TR]
[TR]
[TD]6
[/TD]
[TD]italian (hgdp)
[/TD]
[TD]13,59
[/TD]
[/TR]
[TR]
[TD]7
[/TD]
[TD]n-european (xing)
[/TD]
[TD]16,03
[/TD]
[/TR]
[TR]
[TD]8
[/TD]
[TD]utahn-white (1000genomes)
[/TD]
[TD]16,25
[/TD]
[/TR]
[TR]
[TD]9
[/TD]
[TD]utahn-white (hapmap)
[/TD]
[TD]17,15
[/TD]
[/TR]
[TR]
[TD]10
[/TD]
[TD]tuscan (hapmap)
[/TD]
[TD]17,73
[/TD]
[/TR]
[TR]
[TD]11
[/TD]
[TD]spaniard (behar)
[/TD]
[TD]17,83
[/TD]
[/TR]
[TR]
[TD]12
[/TD]
[TD]tuscan (hgdp)
[/TD]
[TD]17,9
[/TD]
[/TR]
[TR]
[TD]13
[/TD]
[TD]british (1000genomes)
[/TD]
[TD]18,01
[/TD]
[/TR]
[TR]
[TD]14
[/TD]
[TD]tuscan (1000genomes)
[/TD]
[TD]18,22
[/TD]
[/TR]
[TR]
[TD]15
[/TD]
[TD]spaniard (1000genomes)
[/TD]
[TD]19,09
[/TD]
[/TR]
[TR]
[TD]16
[/TD]
[TD]ukranian (yunusbayev)
[/TD]
[TD]20,47
[/TD]
[/TR]
[TR]
[TD]17
[/TD]
[TD]orcadian (hgdp)
[/TD]
[TD]20,55
[/TD]
[/TR]
[TR]
[TD]18
[/TD]
[TD]ashkenazi (harappa)
[/TD]
[TD]25,27
[/TD]
[/TR]
[TR]
[TD]19
[/TD]
[TD]mordovian (yunusbayev)
[/TD]
[TD]26,27
[/TD]
[/TR]
[TR]
[TD]20
[/TD]
[TD]belorussian (behar)
[/TD]
[TD]26,29
[/TD]
[/TR]
[/TABLE]

Mixed Mode Population Sharing:
[TABLE="width: 0"]
[TR]
[TD]#
[/TD]
[TD]
[/TD]
[TD="colspan: 3"]Primary Population (source)
[/TD]
[TD="colspan: 3"]Secondary Population (source)
[/TD]
[TD]Distance
[/TD]
[/TR]
[TR]
[TD]1
[/TD]
[TD]
[/TD]
[TD]55,9%
[/TD]
[TD]romanian-a (behar)
[/TD]
[TD]+
[/TD]
[TD]44,1%
[/TD]
[TD]french (hgdp)
[/TD]
[TD]at
[/TD]
[TD]1,67
[/TD]
[/TR]
[TR]
[TD]2
[/TD]
[TD]
[/TD]
[TD]66%
[/TD]
[TD]italian (hgdp)
[/TD]
[TD]+
[/TD]
[TD]34%
[/TD]
[TD]mordovian (yunusbayev)
[/TD]
[TD]at
[/TD]
[TD]1,72
[/TD]
[/TR]
[TR]
[TD]3
[/TD]
[TD]
[/TD]
[TD]64,9%
[/TD]
[TD]hungarian (behar)
[/TD]
[TD]+
[/TD]
[TD]35,1%
[/TD]
[TD]tuscan (hapmap)
[/TD]
[TD]at
[/TD]
[TD]1,81
[/TD]
[/TR]
[TR]
[TD]4
[/TD]
[TD]
[/TD]
[TD]50,1%
[/TD]
[TD]bulgarian (yunusbayev)
[/TD]
[TD]+
[/TD]
[TD]49,9%
[/TD]
[TD]french (hgdp)
[/TD]
[TD]at
[/TD]
[TD]2,01
[/TD]
[/TR]
[TR]
[TD]5
[/TD]
[TD]
[/TD]
[TD]58,6%
[/TD]
[TD]hungarian (behar)
[/TD]
[TD]+
[/TD]
[TD]41,4%
[/TD]
[TD]italian (hgdp)
[/TD]
[TD]at
[/TD]
[TD]2,02
[/TD]
[/TR]
[TR]
[TD]6
[/TD]
[TD]
[/TD]
[TD]60,3%
[/TD]
[TD]italian (hgdp)
[/TD]
[TD]+
[/TD]
[TD]39,7%
[/TD]
[TD]ukranian (yunusbayev)
[/TD]
[TD]at
[/TD]
[TD]2,09
[/TD]
[/TR]
[TR]
[TD]7
[/TD]
[TD]
[/TD]
[TD]65,7%
[/TD]
[TD]hungarian (behar)
[/TD]
[TD]+
[/TD]
[TD]34,3%
[/TD]
[TD]tuscan (1000genomes)
[/TD]
[TD]at
[/TD]
[TD]2,18
[/TD]
[/TR]
[TR]
[TD]8
[/TD]
[TD]
[/TD]
[TD]53,9%
[/TD]
[TD]slovenian (xing)
[/TD]
[TD]+
[/TD]
[TD]46,1%
[/TD]
[TD]italian (hgdp)
[/TD]
[TD]at
[/TD]
[TD]2,23
[/TD]
[/TR]
[TR]
[TD]9
[/TD]
[TD]
[/TD]
[TD]68,7%
[/TD]
[TD]italian (hgdp)
[/TD]
[TD]+
[/TD]
[TD]31,3%
[/TD]
[TD]russian (hgdp)
[/TD]
[TD]at
[/TD]
[TD]2,27
[/TD]
[/TR]
[TR]
[TD]10
[/TD]
[TD]
[/TD]
[TD]67,2%
[/TD]
[TD]romanian-a (behar)
[/TD]
[TD]+
[/TD]
[TD]32,8%
[/TD]
[TD]british (1000genomes)
[/TD]
[TD]at
[/TD]
[TD]2,29
[/TD]
[/TR]
[TR]
[TD]11
[/TD]
[TD]
[/TD]
[TD]61,8%
[/TD]
[TD]bulgarian (yunusbayev)
[/TD]
[TD]+
[/TD]
[TD]38,2%
[/TD]
[TD]british (1000genomes)
[/TD]
[TD]at
[/TD]
[TD]2,34
[/TD]
[/TR]
[TR]
[TD]12
[/TD]
[TD]
[/TD]
[TD]73,5%
[/TD]
[TD]n-european (xing)
[/TD]
[TD]+
[/TD]
[TD]26,5%
[/TD]
[TD]cypriot (behar)
[/TD]
[TD]at
[/TD]
[TD]2,36
[/TD]
[/TR]
[TR]
[TD]13
[/TD]
[TD]
[/TD]
[TD]61,4%
[/TD]
[TD]n-european (xing)
[/TD]
[TD]+
[/TD]
[TD]38,6%
[/TD]
[TD]ashkenazi (harappa)
[/TD]
[TD]at
[/TD]
[TD]2,44
[/TD]
[/TR]
[TR]
[TD]14
[/TD]
[TD]
[/TD]
[TD]64,9%
[/TD]
[TD]romanian-a (behar)
[/TD]
[TD]+
[/TD]
[TD]35,1%
[/TD]
[TD]utahn-white (1000genomes)
[/TD]
[TD]at
[/TD]
[TD]2,46
[/TD]
[/TR]
[TR]
[TD]15
[/TD]
[TD]
[/TD]
[TD]59,3%
[/TD]
[TD]bulgarian (yunusbayev)
[/TD]
[TD]+
[/TD]
[TD]40,7%
[/TD]
[TD]utahn-white (1000genomes)
[/TD]
[TD]at
[/TD]
[TD]2,57
[/TD]
[/TR]
[TR]
[TD]16
[/TD]
[TD]
[/TD]
[TD]60,6%
[/TD]
[TD]slovenian (xing)
[/TD]
[TD]+
[/TD]
[TD]39,4%
[/TD]
[TD]tuscan (hapmap)
[/TD]
[TD]at
[/TD]
[TD]2,61
[/TD]
[/TR]
[TR]
[TD]17
[/TD]
[TD]
[/TD]
[TD]72,2%
[/TD]
[TD]utahn-white (hapmap)
[/TD]
[TD]+
[/TD]
[TD]27,8%
[/TD]
[TD]cypriot (behar)
[/TD]
[TD]at
[/TD]
[TD]2,65
[/TD]
[/TR]
[TR]
[TD]18
[/TD]
[TD]
[/TD]
[TD]65,7%
[/TD]
[TD]tuscan (hapmap)
[/TD]
[TD]+
[/TD]
[TD]34,3%
[/TD]
[TD]lithuanian (behar)
[/TD]
[TD]at
[/TD]
[TD]2,65
[/TD]
[/TR]
[TR]
[TD]19
[/TD]
[TD]
[/TD]
[TD]77,5%
[/TD]
[TD]utahn-white (1000genomes)
[/TD]
[TD]+
[/TD]
[TD]22,5%
[/TD]
[TD]druze (hgdp)
[/TD]
[TD]at
[/TD]
[TD]2,68
[/TD]
[/TR]
[TR]
[TD]20
[/TD]
[TD]
[/TD]
[TD]66,8%
[/TD]
[TD]italian (hgdp)
[/TD]
[TD]+
[/TD]
[TD]33,2%
[/TD]
[TD]russian (behar)
[/TD]
[TD]at
[/TD]
[TD]2,73
[/TD]
[/TR]
[/TABLE]

oracle 4 works better for me:

Least-squares method,

Using 1 population approximation:
1 serbian_harappa at 8,760172
2 romanian-a_behar at 9,946224
3 hungarian_behar at 10,642172
4 french_hgdp at 12,429471
5 bulgarian_yunusbayev at 12,515975
6 slovenian_xing at 12,824835
7 italian_hgdp at 14,818053
8 n-european_xing at 17,801136
9 utahn-white_1000genomes at 18,036180
10 utahn-white_hapmap at 19,052050
11 spaniard_behar at 19,269522
12 tuscan_hapmap at 19,592007
13 tuscan_hgdp at 19,799326
14 british_1000genomes at 19,994846
15 tuscan_1000genomes at 20,165638
16 spaniard_1000genomes at 20,645649
17 ukranian_yunusbayev at 22,415787
18 orcadian_hgdp at 22,848253
19 ashkenazi_harappa at 27,938974
20 mordovian_yunusbayev at 28,640678

Using 2 populations approximation:
1 50% bulgarian_yunusbayev +50% french_hgdp at 2,095524


Using 3 populations approximation:
1 50% tuscan_hapmap +25% ukranian_yunusbayev +25% utahn-white_hapmap at 1,060937


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 orcadian_hgdp + tuscan_1000genomes + tuscan_1000genomes + ukranian_yunusbayev at 0,993646
2 tuscan_hapmap + tuscan_hgdp + ukranian_yunusbayev + utahn-white_hapmap at 1,025296
3 tuscan_hapmap + tuscan_hapmap + ukranian_yunusbayev + utahn-white_hapmap at 1,060937
4 british_1000genomes + hungarian_behar + romanian-a_behar + tuscan_1000genomes at 1,075627
5 tuscan_hgdp + tuscan_hgdp + ukranian_yunusbayev + utahn-white_hapmap at 1,078473
6 hungarian_behar + romanian-a_behar + tuscan_hapmap + utahn-white_1000genomes at 1,104432
7 orcadian_hgdp + tuscan_1000genomes + tuscan_hgdp + ukranian_yunusbayev at 1,106740
8 tuscan_1000genomes + tuscan_hapmap + ukranian_yunusbayev + utahn-white_hapmap at 1,107176
9 hungarian_behar + romanian-a_behar + tuscan_hgdp + utahn-white_1000genomes at 1,112130
10 british_1000genomes + hungarian_behar + romanian-a_behar + tuscan_hgdp at 1,120447
11 british_1000genomes + hungarian_behar + romanian-a_behar + tuscan_hapmap at 1,153988
12 mordovian_yunusbayev + serbian_harappa + spaniard_behar + tuscan_hapmap at 1,163233
13 tuscan_1000genomes + tuscan_hgdp + ukranian_yunusbayev + utahn-white_hapmap at 1,164900
14 hungarian_behar + romanian-a_behar + tuscan_1000genomes + utahn-white_1000genomes at 1,165334
15 hungarian_behar + romanian-a_behar + serbian_harappa + spaniard_behar at 1,171497
16 british_1000genomes + bulgarian_yunusbayev + hungarian_behar + tuscan_hapmap at 1,178269
17 hungarian_behar + romanian-a_behar + serbian_harappa + spaniard_1000genomes at 1,183230
18 british_1000genomes + bulgarian_yunusbayev + hungarian_behar + tuscan_hgdp at 1,187933
19 bulgarian_yunusbayev + hungarian_behar + orcadian_hgdp + tuscan_1000genomes at 1,190704
20 orcadian_hgdp + tuscan_1000genomes + tuscan_hapmap + ukranian_yunusbayev at 1,199835
 
From Podișul Getic

NE-Euro ............... 32,43%
Mediterranean ...... 27,55%
Caucasian ............ 23,14%
Baloch ................. 7,16%
SW-Asian ............. 6,17%
SE-Asian .............. 1,68%
Siberian ............... 0,59%
W-African ............. 0,5%
San ..................... 0,4%
American ............. 0,21%
S-Indian .............. 0,1%
Papuan ................ 0,06%
 
ntindeo said:
From Podișul Getic

NE-Euro ............... 32,43%
Mediterranean ...... 27,55%
Caucasian ............ 23,14%
Baloch ................. 7,16%
SW-Asian ............. 6,17%
SE-Asian .............. 1,68%
Siberian ............... 0,59%
W-African ............. 0,5%
San ..................... 0,4%
American ............. 0,21%
S-Indian .............. 0,1%
Papuan ................ 0,06%
Click to expand...

What are the margins of error for these estimates? 5%?!
lol...
SE-Asian .............. 1,68%
Siberian ............... 0,59%
W-African ............. 0,5%
San ..................... 0,4%
American ............. 0,21%
S-Indian .............. 0,1%
Papuan ................ 0,06%
Total ................. 3.54%
 
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"]45.04[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]31.78[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]12.05[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]9.24[/TD]


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

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

Least-squares method.

Using 1 population approximation:
1 french_hgdp @ 6.357331
2 utahn-white_1000genomes @ 8.947128
3 hungarian_behar @ 9.462353
4 n-european_xing @ 9.702411
5 utahn-white_hapmap @ 10.403712
6 british_1000genomes @ 10.768258
7 slovenian_xing @ 11.632404
8 orcadian_hgdp @ 13.781578
9 serbian_harappa @ 15.811398
10 spaniard_behar @ 18.887596
11 romanian-a_behar @ 19.348148
12 ukranian_yunusbayev @ 20.000473
13 spaniard_1000genomes @ 20.195496
14 italian_hgdp @ 20.799503
15 bulgarian_yunusbayev @ 21.885542
16 belorussian_behar @ 25.398611
17 mordovian_yunusbayev @ 26.089188
18 russian_behar @ 27.139664
19 tuscan_hapmap @ 27.578447
20 tuscan_hgdp @ 27.957283

Using 2 populations approximation:
1 50% french_hgdp +50% hungarian_behar @ 3.072458


Using 3 populations approximation:
1 50% french_hgdp +25% serbian_harappa +25% utahn-white_hapmap @ 2.171589


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++
1 british_1000genomes + french_hgdp + french_hgdp + serbian_harappa @ 2.170443
2 french_hgdp + french_hgdp + serbian_harappa + utahn-white_hapmap @ 2.171589
3 british_1000genomes + british_1000genomes + bulgarian_yunusbayev + french_hgdp @ 2.206906
4 french_hgdp + french_hgdp + serbian_harappa + utahn-white_1000genomes @ 2.219246
5 french_hgdp + french_hgdp + orcadian_hgdp + serbian_harappa @ 2.224763
6 british_1000genomes + bulgarian_yunusbayev + french_hgdp + utahn-white_1000genomes @ 2.237161
7 british_1000genomes + french_hgdp + romanian-a_behar + utahn-white_1000genomes @ 2.349733
8 french_hgdp + romanian-a_behar + utahn-white_1000genomes + utahn-white_1000genomes @ 2.349883
9 bulgarian_yunusbayev + french_hgdp + orcadian_hgdp + utahn-white_1000genomes @ 2.391636
10 bulgarian_yunusbayev + french_hgdp + utahn-white_1000genomes + utahn-white_1000genomes @ 2.393918
11 british_1000genomes + bulgarian_yunusbayev + french_hgdp + utahn-white_hapmap @ 2.411680
12 french_hgdp + french_hgdp + n-european_xing + serbian_harappa @ 2.423537
13 italian_hgdp + orcadian_hgdp + orcadian_hgdp + serbian_harappa @ 2.427488
14 british_1000genomes + hungarian_behar + italian_hgdp + utahn-white_1000genomes @ 2.445189
15 british_1000genomes + british_1000genomes + french_hgdp + romanian-a_behar @ 2.491683
16 hungarian_behar + italian_hgdp + utahn-white_1000genomes + utahn-white_1000genomes @ 2.495655
17 british_1000genomes + bulgarian_yunusbayev + french_hgdp + orcadian_hgdp @ 2.498017
18 british_1000genomes + british_1000genomes + hungarian_behar + italian_hgdp @ 2.506257
19 tuscan_hapmap + utahn-white_1000genomes + utahn-white_hapmap + utahn-white_hapmap @ 2.517503
20 tuscan_hgdp + utahn-white_1000genomes + utahn-white_hapmap + utahn-white_hapmap @ 2.535552
I don't know if I've commented this before, so here it is.
 
Albanian.

Population

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

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

[TD="align: center"]1[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]30.73[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]NE-Euro[/TD]
[TD="width: 50, align: right"]29.61[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]26.42[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]6.8[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]5.73[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Beringian[/TD]
[TD="width: 50, align: right"]0.56[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]Papuan[/TD]
[TD="width: 50, align: right"]0.16[/TD]


Population (source)

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

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

[TD="align: center"]1[/TD]
[TD="width: 220"]bulgarian (yunusbayev)[/TD]
[TD="width: 50, align: right"]6.93[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]tuscan (1000genomes)[/TD]
[TD="width: 50, align: right"]7.55[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]tuscan (hgdp)[/TD]
[TD="width: 50, align: right"]7.81[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]tuscan (hapmap)[/TD]
[TD="width: 50, align: right"]8.28[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]romanian-a (behar)[/TD]
[TD="width: 50, align: right"]8.29[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]ashkenazi (harappa)[/TD]
[TD="width: 50, align: right"]11.89[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]italian (hgdp)[/TD]
[TD="width: 50, align: right"]12.73[/TD]

[TD="width: 40, align: center"]8[/TD]
[TD="width: 220"]ashkenazy-jew (behar)[/TD]
[TD="width: 50, align: right"]15.33[/TD]

[TD="width: 40, align: center"]9[/TD]
[TD="width: 220"]turk-aydin (hodoglugil)[/TD]
[TD="width: 50, align: right"]21.46[/TD]

[TD="width: 40, align: center"]10[/TD]
[TD="width: 220"]sephardic-jew (behar)[/TD]
[TD="width: 50, align: right"]22.06[/TD]

[TD="width: 40, align: center"]11[/TD]
[TD="width: 220"]hungarian (behar)[/TD]
[TD="width: 50, align: right"]23.07[/TD]

[TD="width: 40, align: center"]12[/TD]
[TD="width: 220"]morocco-jew (behar)[/TD]
[TD="width: 50, align: right"]23.08[/TD]

[TD="width: 40, align: center"]13[/TD]
[TD="width: 220"]spaniard (behar)[/TD]
[TD="width: 50, align: right"]24.39[/TD]

[TD="width: 40, align: center"]14[/TD]
[TD="width: 220"]slovenian (xing)[/TD]
[TD="width: 50, align: right"]24.49[/TD]

[TD="width: 40, align: center"]15[/TD]
[TD="width: 220"]french (hgdp)[/TD]
[TD="width: 50, align: right"]24.5[/TD]

[TD="width: 40, align: center"]16[/TD]
[TD="width: 220"]spaniard (1000genomes)[/TD]
[TD="width: 50, align: right"]25.43[/TD]

[TD="width: 40, align: center"]17[/TD]
[TD="width: 220"]turk-istanbul (hodoglugil)[/TD]
[TD="width: 50, align: right"]27.87[/TD]

[TD="width: 40, align: center"]18[/TD]
[TD="width: 220"]romanian-b (behar)[/TD]
[TD="width: 50, align: right"]27.97[/TD]

[TD="width: 40, align: center"]19[/TD]
[TD="width: 220"]nogai (yunusbayev)[/TD]
[TD="width: 50, align: right"]29.13[/TD]

[TD="width: 40, align: center"]20[/TD]
[TD="width: 220"]turk-kayseri (hodoglugil)[/TD]
[TD="width: 50, align: right"]29.17[/TD]
 
[h=2]My results

HarappaWorld Oracle results:[/h]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"]46.81[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]32.96[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]8.58[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]6.9[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]3.29[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]American[/TD]
[TD="width: 50, align: right"]0.97[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]Papuan[/TD]
[TD="width: 50, align: right"]0.49[/TD]

Single Population Sharing:

Population (source)

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

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

[TD="align: center"]1[/TD]
[TD="width: 220"]utahn-white (1000genomes)[/TD]
[TD="width: 50, align: right"]4.92[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]french (hgdp)[/TD]
[TD="width: 50, align: right"]5.95[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]british (1000genomes)[/TD]
[TD="width: 50, align: right"]6.16[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]n-european (xing)[/TD]
[TD="width: 50, align: right"]6.31[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]utahn-white (hapmap)[/TD]
[TD="width: 50, align: right"]6.49[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]orcadian (hgdp)[/TD]
[TD="width: 50, align: right"]8.76[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]hungarian (behar)[/TD]
[TD="width: 50, align: right"]11.05[/TD]

[TD="width: 40, align: center"]8[/TD]
[TD="width: 220"]slovenian (xing)[/TD]
[TD="width: 50, align: right"]12.5[/TD]

[TD="width: 40, align: center"]9[/TD]
[TD="width: 220"]spaniard (behar)[/TD]
[TD="width: 50, align: right"]17.69[/TD]

[TD="width: 40, align: center"]10[/TD]
[TD="width: 220"]spaniard (1000genomes)[/TD]
[TD="width: 50, align: right"]18.58[/TD]

[TD="width: 40, align: center"]11[/TD]
[TD="width: 220"]ukranian (yunusbayev)[/TD]
[TD="width: 50, align: right"]18.87[/TD]

[TD="width: 40, align: center"]12[/TD]
[TD="width: 220"]romanian-a (behar)[/TD]
[TD="width: 50, align: right"]21.57[/TD]

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

[TD="width: 40, align: center"]14[/TD]
[TD="width: 220"]belorussian (behar)[/TD]
[TD="width: 50, align: right"]22.96[/TD]

[TD="width: 40, align: center"]15[/TD]
[TD="width: 220"]bulgarian (yunusbayev)[/TD]
[TD="width: 50, align: right"]23.89[/TD]

[TD="width: 40, align: center"]16[/TD]
[TD="width: 220"]mordovian (yunusbayev)[/TD]
[TD="width: 50, align: right"]24.27[/TD]

[TD="width: 40, align: center"]17[/TD]
[TD="width: 220"]russian (behar)[/TD]
[TD="width: 50, align: right"]25.32[/TD]

[TD="width: 40, align: center"]18[/TD]
[TD="width: 220"]spain-basc (henn2012)[/TD]
[TD="width: 50, align: right"]25.92[/TD]

[TD="width: 40, align: center"]19[/TD]
[TD="width: 220"]russian (hgdp)[/TD]
[TD="width: 50, align: right"]26.34[/TD]

[TD="width: 40, align: center"]20[/TD]
[TD="width: 220"]basque (hgdp)[/TD]
[TD="width: 50, align: right"]27.71[/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"]75.4%[/TD]
[TD="width: 200"]n-european (xing)[/TD]

[TD="width: 30, align: right"]24.6%[/TD]
[TD="width: 200"]spaniard (1000genomes)[/TD]

[TD="width: 50, align: right"]1.82[/TD]

[TD="width: 20, align: center"]2[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]51.7%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]48.3%[/TD]
[TD="width: 200"]n-european (xing)[/TD]

[TD="width: 50, align: right"]2.13[/TD]

[TD="width: 20, align: center"]3[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]91%[/TD]
[TD="width: 200"]utahn-white (1000genomes)[/TD]

[TD="width: 30, align: right"]9%[/TD]
[TD="width: 200"]morocco-jew (behar)[/TD]

[TD="width: 50, align: right"]2.14[/TD]

[TD="width: 20, align: center"]4[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]92.7%[/TD]
[TD="width: 200"]utahn-white (1000genomes)[/TD]

[TD="width: 30, align: right"]7.3%[/TD]
[TD="width: 200"]libya (henn2012)[/TD]

[TD="width: 50, align: right"]2.2[/TD]

[TD="width: 20, align: center"]5[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]88.7%[/TD]
[TD="width: 200"]british (1000genomes)[/TD]

[TD="width: 30, align: right"]11.3%[/TD]
[TD="width: 200"]morocco-jew (behar)[/TD]

[TD="width: 50, align: right"]2.24[/TD]

[TD="width: 20, align: center"]6[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]88.3%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]11.7%[/TD]
[TD="width: 200"]finnish (1000genomes)[/TD]

[TD="width: 50, align: right"]2.29[/TD]

[TD="width: 20, align: center"]7[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]92.9%[/TD]
[TD="width: 200"]utahn-white (1000genomes)[/TD]

[TD="width: 30, align: right"]7.1%[/TD]
[TD="width: 200"]egypt (henn2012)[/TD]

[TD="width: 50, align: right"]2.29[/TD]

[TD="width: 20, align: center"]8[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]91.9%[/TD]
[TD="width: 200"]british (1000genomes)[/TD]

[TD="width: 30, align: right"]8.1%[/TD]
[TD="width: 200"]samaritian (behar)[/TD]

[TD="width: 50, align: right"]2.31[/TD]

[TD="width: 20, align: center"]9[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]88.9%[/TD]
[TD="width: 200"]british (1000genomes)[/TD]

[TD="width: 30, align: right"]11.1%[/TD]
[TD="width: 200"]sephardic-jew (behar)[/TD]

[TD="width: 50, align: right"]2.31[/TD]

[TD="width: 20, align: center"]10[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]52.5%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]47.5%[/TD]
[TD="width: 200"]utahn-white (hapmap)[/TD]

[TD="width: 50, align: right"]2.32[/TD]

[TD="width: 20, align: center"]11[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]74.3%[/TD]
[TD="width: 200"]utahn-white (hapmap)[/TD]

[TD="width: 30, align: right"]25.7%[/TD]
[TD="width: 200"]spaniard (behar)[/TD]

[TD="width: 50, align: right"]2.33[/TD]

[TD="width: 20, align: center"]12[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]86.6%[/TD]
[TD="width: 200"]british (1000genomes)[/TD]

[TD="width: 30, align: right"]13.4%[/TD]
[TD="width: 200"]ashkenazi (harappa)[/TD]

[TD="width: 50, align: right"]2.33[/TD]

[TD="width: 20, align: center"]13[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]88%[/TD]
[TD="width: 200"]n-european (xing)[/TD]

[TD="width: 30, align: right"]12%[/TD]
[TD="width: 200"]sardinian (hgdp)[/TD]

[TD="width: 50, align: right"]2.34[/TD]

[TD="width: 20, align: center"]14[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]75.3%[/TD]
[TD="width: 200"]utahn-white (hapmap)[/TD]

[TD="width: 30, align: right"]24.7%[/TD]
[TD="width: 200"]spaniard (1000genomes)[/TD]

[TD="width: 50, align: right"]2.36[/TD]

[TD="width: 20, align: center"]15[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]91.4%[/TD]
[TD="width: 200"]utahn-white (1000genomes)[/TD]

[TD="width: 30, align: right"]8.6%[/TD]
[TD="width: 200"]sephardic-jew (behar)[/TD]

[TD="width: 50, align: right"]2.37[/TD]

[TD="width: 20, align: center"]16[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]87.5%[/TD]
[TD="width: 200"]british (1000genomes)[/TD]

[TD="width: 30, align: right"]12.5%[/TD]
[TD="width: 200"]ashkenazy-jew (behar)[/TD]

[TD="width: 50, align: right"]2.38[/TD]

[TD="width: 20, align: center"]17[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]83.8%[/TD]
[TD="width: 200"]french (hgdp)[/TD]

[TD="width: 30, align: right"]16.2%[/TD]
[TD="width: 200"]lithuanian (behar)[/TD]

[TD="width: 50, align: right"]2.38[/TD]

[TD="width: 20, align: center"]18[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]83.5%[/TD]
[TD="width: 200"]utahn-white (1000genomes)[/TD]

[TD="width: 30, align: right"]16.5%[/TD]
[TD="width: 200"]italian (hgdp)[/TD]

[TD="width: 50, align: right"]2.42[/TD]

[TD="width: 20, align: center"]19[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]72%[/TD]
[TD="width: 200"]orcadian (hgdp)[/TD]

[TD="width: 30, align: right"]28%[/TD]
[TD="width: 200"]italian (hgdp)[/TD]

[TD="width: 50, align: right"]2.5[/TD]

[TD="width: 20, align: center"]20[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]93.3%[/TD]
[TD="width: 200"]utahn-white (1000genomes)[/TD]

[TD="width: 30, align: right"]6.7%[/TD]
[TD="width: 200"]egyptian (behar)[/TD]

[TD="width: 50, align: right"]2.5

[/TD]
[h=2]HarappaWorld 4-Ancestors Oracle:

Admix Results (sorted):[/h]
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"]46.81[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]32.96[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Baloch[/TD]
[TD="width: 50, align: right"]8.58[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]6.90[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]SW-Asian[/TD]
[TD="width: 50, align: right"]3.29[/TD]


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

Least-squares method.

Using 1 population approximation:
1 utahn-white_1000genomes @ 5.363171
2 french_hgdp @ 6.482157
3 british_1000genomes @ 6.770874
4 n-european_xing @ 6.867363
5 utahn-white_hapmap @ 7.098445
6 orcadian_hgdp @ 9.683643
7 hungarian_behar @ 12.048976
8 slovenian_xing @ 13.595154
9 spaniard_behar @ 19.291372
10 spaniard_1000genomes @ 20.244551
11 ukranian_yunusbayev @ 20.426512
12 serbian_harappa @ 20.521606
13 romanian-a_behar @ 23.915880
14 italian_hgdp @ 24.127871
15 belorussian_behar @ 24.935354
16 mordovian_yunusbayev @ 26.100805
17 bulgarian_yunusbayev @ 26.531054
18 russian_behar @ 27.439278
19 spain-basc_henn2012 @ 27.949055
20 russian_hgdp @ 28.383671

Using 2 populations approximation:
1 50% french_hgdp +50% n-european_xing @ 2.226958


Using 3 populations approximation:
1 50% orcadian_hgdp +25% slovenian_xing +25% spaniard_1000genomes @ 1.658356


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++
1 orcadian_hgdp + orcadian_hgdp + slovenian_xing + spaniard_1000genomes @ 1.658356
2 orcadian_hgdp + slovenian_xing + spaniard_1000genomes + utahn-white_hapmap @ 1.669976
3 hungarian_behar + orcadian_hgdp + spaniard_1000genomes + utahn-white_hapmap @ 1.730885
4 british_1000genomes + orcadian_hgdp + slovenian_xing + spaniard_1000genomes @ 1.741317
5 orcadian_hgdp + slovenian_xing + spaniard_1000genomes + utahn-white_1000genomes @ 1.783064
6 lithuanian_behar + orcadian_hgdp + spaniard_behar + spaniard_behar @ 1.787497
7 orcadian_hgdp + orcadian_hgdp + slovenian_xing + spaniard_behar @ 1.792424
8 hungarian_behar + n-european_xing + orcadian_hgdp + spaniard_1000genomes @ 1.825092
9 hungarian_behar + orcadian_hgdp + orcadian_hgdp + spaniard_1000genomes @ 1.830382
10 n-european_xing + orcadian_hgdp + slovenian_xing + spaniard_1000genomes @ 1.841855
11 n-european_xing + n-european_xing + n-european_xing + spaniard_1000genomes @ 1.852763
12 british_1000genomes + orcadian_hgdp + slovenian_xing + spaniard_behar @ 1.860952
13 lithuanian_behar + orcadian_hgdp + spaniard_1000genomes + spaniard_behar @ 1.895427
14 n-european_xing + n-european_xing + n-european_xing + spaniard_behar @ 1.896892
15 hungarian_behar + orcadian_hgdp + spaniard_behar + utahn-white_hapmap @ 1.916188
16 hungarian_behar + orcadian_hgdp + orcadian_hgdp + spaniard_behar @ 1.923284
17 orcadian_hgdp + slovenian_xing + spaniard_behar + utahn-white_hapmap @ 1.924949
18 n-european_xing + n-european_xing + spaniard_1000genomes + utahn-white_hapmap @ 1.926838
19 orcadian_hgdp + slovenian_xing + spaniard_behar + utahn-white_1000genomes @ 1.932225
20 n-european_xing + n-european_xing + spaniard_behar + utahn-white_hapmap @ 1.932515
 
Admix Results (sorted):

# Population Percent
1 SE-Asian 62.58
2 NE-Asian 27.81
3 S-Indian 4.27
4 Papuan 3.41
5 Beringian 0.63
6 Mediterranean 0.53
7 Pygmy 0.38
8 Baloch 0.32
9 W-African 0.06
10 Siberian 0.01

Single Population Sharing:

# Population (source) Distance
1 kinh (1000genomes) 7.72
2 dai-chinese (1000genomes) 8.27
3 dai (hgdp) 9.37
4 vietnamese (xing) 11.32
5 lahu (hgdp) 12.39
6 khmer-cambodian (xing) 13.54
7 thai (xing) 18.15
8 cambodian (hgdp) 20.26
9 singapore-malay (sgvp) 23.06
10 iban (xing) 35.21
11 burmanese (chaubey) 38.33
12 samoan (xing) 39.14
13 miao (hgdp) 39.98
14 khasi (chaubey) 40.67
15 garo (chaubey) 41.28
16 singapore-chinese (sgvp) 41.97
17 tongan (xing) 43.67
18 she (hgdp) 44.28
19 chinese (xing) 44.59
20 han-chinese-south (1000genomes) 45.66
 
Admix Results (sorted):
#PopulationPercent1
NE-Euro 75.952
Mediterranean 9.123
Siberian 8.384
SW-Asian 3.785
American 0.846
Baloch 0.677
SE-Asian 0.518
S-Indian 0.399
Papuan 0.2410
Caucasian 0.0711
Beringian 0.0412
NE-Asian 0.01

Single Population Sharing:
#Population (source)Distance1
finnish (1000genomes)6.362
lithuanian (behar)12.923
russian (hgdp)13.944
belorussian (behar)17.555
russian (behar)17.576
mordovian (yunusbayev)187
ukranian (yunusbayev)22.598
chuvash (behar)27.329
slovenian (xing)30.7410
n-european (xing)31.4311
utahn-white (hapmap)32.1412
hungarian (behar)32.613
orcadian (hgdp)33.2614
utahn-white (1000genomes)34.3215
british (1000genomes)34.8116
french (hgdp)42.1717
romanian-a (behar)45.5418
bulgarian (yunusbayev)47.0119
spaniard (behar)53.4820
spaniard (1000genomes)54.26
 
Julkka said:
Admix Results (sorted):
#PopulationPercent1
NE-Euro 75.952
Mediterranean 9.123
Siberian 8.384
SW-Asian 3.785
American 0.846
Baloch 0.677
SE-Asian 0.518
S-Indian 0.399
Papuan 0.2410
Caucasian 0.0711
Beringian 0.0412
NE-Asian 0.01

Single Population Sharing:
#Population (source)Distance1
finnish (1000genomes)6.362
lithuanian (behar)12.923
russian (hgdp)13.944
belorussian (behar)17.555
russian (behar)17.576
mordovian (yunusbayev)187
ukranian (yunusbayev)22.598
chuvash (behar)27.329
slovenian (xing)30.7410
n-european (xing)31.4311
utahn-white (hapmap)32.1412
hungarian (behar)32.613
orcadian (hgdp)33.2614
utahn-white (1000genomes)34.3215
british (1000genomes)34.8116
french (hgdp)42.1717
romanian-a (behar)45.5418
bulgarian (yunusbayev)47.0119
spaniard (behar)53.4820
spaniard (1000genomes)54.26
Click to expand...
Are you scandanavian?
 
i am Kurdish and these are my results :

45309193wu.jpg


Using 1 populations approximation
1 100% kurd1 @ 4,324
2 100% kurd3 @ 6,048
3 100% turkish @ 6,060
4 100% iranian2 @ 6,470
5 100% kurd2 @ 6,859
6 100% iranian1 @ 7,122
7 100% uzbekistan-jew @ 7,371
8 100% armenian2 @ 8,042
9 100% azeri @ 8,395
10 100% iranian-kerman @ 8,704
11 100% turk-kayseri @ 10,650
12 100% turk @ 11,059
13 100% iraqi-arab @ 11,182
14 100% turk-istanbul @ 11,612
15 100% iraqi-mandaean @ 12,636
16 100% assyrian @ 12,722
17 100% iranian-jew @ 13,786
18 100% azerbaijan-jew @ 14,647
19 100% georgia-jew @ 14,695
20 100% iraq-jew @ 14,833
21 100% palestinian1 @ 15,070
22 100% iranian-mashhad @ 15,762
23 100% lebanese-muslim @ 15,891
24 100% north-ossetian @ 16,015
25 100% iranian-yazd @ 16,109
26 100% armenian3 @ 16,551
27 100% syrian @ 16,574
28 100% lebanese @ 17,084
29 100% kumyk @ 17,362
30 100% qizilbash1 @ 17,393
 
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