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voloh
30-06-19, 22:07
gedmatch kit HZ6868325

mdlp k23b oracle
11164

eurogenes k15 oracle
11165

Why does this sample get so different results on these oracles? is one of them completely wrong?

Pax Augusta
01-07-19, 16:42
This sample gets different results on these oracles because they're two different amateur tools made by two different people. It is difficult to say which is the most accurate, also because the first results all come out at great distances.

But you can see a pattern in these results. The sample is always modeled as a two-way mix of a population with a high percentage of Nordic component and a second population richer in EEF.


BR1 Hungary Mako Culture 2100 BC Hungary, Bronze Age Kyjatice Culture

Kit Num: HZ6868325
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com

HarappaWorld 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

23 April 2013 - Oracle reference population percentages revised.

Admix Results (sorted):



#
Population
Percent


1
NE-Euro
53.03


2
Mediterranean
31.65


3
Caucasian
7.61


4
SW-Asian
3.59


5
SE-Asian
1.52


6
Baloch
1.08




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

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

Least-squares method.

Using 1 population approximation:
1 n-european_xing @ 8.512391
2 utahn-white_hapmap @ 9.895613
3 utahn-white_1000genomes @ 10.422997
4 british_1000genomes @ 11.737121
5 hungarian_behar @ 12.737114
6 slovenian_xing @ 12.779364
7 orcadian_hgdp @ 13.269800
8 french_hgdp @ 14.282228
9 ukranian_yunusbayev @ 17.047060
10 belorussian_behar @ 20.150099
11 serbian_harappa @ 22.569973
12 russian_behar @ 22.594582
13 mordovian_yunusbayev @ 23.296509
14 russian_hgdp @ 24.715195
15 spaniard_behar @ 25.474293
16 lithuanian_behar @ 25.897470
17 spaniard_1000genomes @ 26.280447
18 romanian-a_behar @ 26.707809
19 bulgarian_yunusbayev @ 28.883734
20 italian_hgdp @ 28.930794

Using 2 populations approximation:
1 50% lithuanian_behar +50% spaniard_1000genomes @ 6.038862


Using 3 populations approximation:
1 50% finnish_1000genomes +25% sardinian_hgdp +25% spain-basc_henn2012 @ 4.388278


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
1 finnish_1000genomes + finnish_1000genomes + sardinian_hgdp + spain-basc_henn2012 @ 4.388278
2 basque_hgdp + finnish_1000genomes + finnish_1000genomes + sardinian_hgdp @ 4.403300
3 finnish_1000genomes + french_hgdp + lithuanian_behar + sardinian_hgdp @ 4.882987
4 basque_hgdp + finnish_1000genomes + russian_behar + spaniard_1000genomes @ 4.997023
5 basque_hgdp + finnish_1000genomes + russian_behar + spaniard_behar @ 5.084397
6 basque_hgdp + belorussian_behar + finnish_1000genomes + spaniard_1000genomes @ 5.132265
7 basque_hgdp + belorussian_behar + finnish_1000genomes + spaniard_behar @ 5.166114
8 finnish_1000genomes + russian_behar + spain-basc_henn2012 + spaniard_1000genomes @ 5.168725
9 belorussian_behar + british_1000genomes + finnish_1000genomes + sardinian_hgdp @ 5.214709
10 belorussian_behar + finnish_1000genomes + spain-basc_henn2012 + spaniard_1000genomes @ 5.226560
11 finnish_1000genomes + russian_behar + spain-basc_henn2012 + spaniard_behar @ 5.271591
12 belorussian_behar + finnish_1000genomes + spain-basc_henn2012 + spaniard_behar @ 5.279031
13 belorussian_behar + finnish_1000genomes + orcadian_hgdp + sardinian_hgdp @ 5.308244
14 british_1000genomes + finnish_1000genomes + lithuanian_behar + sardinian_hgdp @ 5.319563
15 finnish_1000genomes + lithuanian_behar + sardinian_hgdp + utahn-white_1000genomes @ 5.350371
16 basque_hgdp + belorussian_behar + finnish_1000genomes + italian_hgdp @ 5.351189
17 belorussian_behar + finnish_1000genomes + sardinian_hgdp + utahn-white_1000genomes @ 5.391708
18 basque_hgdp + finnish_1000genomes + italian_hgdp + lithuanian_behar @ 5.420984
19 lithuanian_behar + lithuanian_behar + n-european_xing + sardinian_hgdp @ 5.425259
20 finnish_1000genomes + finnish_1000genomes + sardinian_hgdp + spaniard_1000genomes @ 5.456843

Done.

Elapsed time 6.2815 seconds.


MDLP K16 Modern Oracle results:

MDLP K16 2xOracle and OracleX4

Kit HZ6868325

Admix Results (sorted):



#
Population
Percent


1
NorthEastEuropean
41.23


2
Neolithic
38.97


3
Caucasian
11.54


4
Steppe
5.2


5
NearEast
1.66


6
Oceanic
1.15


7
Subsaharian
0.13


8
EastAfrican
0.12



Single Population Sharing:



#
Population (source)
Distance


1
Belarusian (Zhytkavichy_Homel)
20.99


2
Sorb (Lusatia)
21.92


3
Latvian (Latvia)
22.05


4
Ukrainians_west (WestUkraine)
22.51


5
Swede (Sweden)
22.65


6
Latvian_Dobele (Dobele)
22.85


7
Pole (WestPoland)
22.91


8
Finn (WestFinland)
23.02


9
Ukrainians_east (EastUkraine)
23.06


10
Russian_cossack (Kuban)
23.07


11
Estonian (Estonia)
23.08


12
Slovak (Slovakia)
23.17


13
Norwegian (Norwegia)
23.21


14
German (NorthGermany)
23.24


15
Welsh (Wales)
23.28


16
Scottish (Borders)
23.28


17
German (Germany)
23.31


18
Lithuanian (Lithuania)
23.32


19
Czech (Czechia)
23.48


20
Icelandic (Iceland)
23.5



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

69.2%
Latvian (Latvia)
+
30.8%
Sardinian (Sardinia)
@
17.05


2

67.8%
Latvian_Dobele (Dobele)
+
32.2%
Sardinian (Sardinia)
@
17.37


3

67.5%
Estonian (Estonia)
+
32.5%
Sardinian (Sardinia)
@
17.49


4

64.9%
Finn (Finland)
+
35.1%
Sardinian (Sardinia)
@
17.53


5

67.4%
Lithuanian (Lithuania)
+
32.6%
Sardinian (Sardinia)
@
17.88


6

75.4%
Belarusian (Zhytkavichy_Homel)
+
24.6%
Sardinian (Sardinia)
@
18.47


7

62.4%
Latvian_Cesis (Cesis)
+
37.6%
Sardinian (Sardinia)
@
18.56


8

61.9%
Russian (Russia)
+
38.1%
Sardinian (Sardinia)
@
19.02


9

67.4%
Ingrians (Ingermanland)
+
32.6%
Sardinian (Sardinia)
@
19.34


10

64.9%
Russians-West (WestRussian)
+
35.1%
Sardinian (Sardinia)
@
19.36


11

66.5%
Karelian (Karelia)
+
33.5%
Sardinian (Sardinia)
@
19.39


12

68.6%
Latvian (Latvia)
+
31.4%
Spanish (Pais_Vasco)
@
19.42


13

64.9%
Vepsa (Russia)
+
35.1%
Sardinian (Sardinia)
@
19.45


14

74%
Latvian (Latvia)
+
26%
Basque (Spain)
@
19.47


15

70.9%
Ukrainians_east (EastUkraine)
+
29.1%
Sardinian (Sardinia)
@
19.5


16

71.4%
Finn (WestFinland)
+
28.6%
Sardinian (Sardinia)
@
19.64


17

79.9%
Belarusian (Zhytkavichy_Homel)
+
20.1%
Basque (Spain)
@
19.66


18

68.1%
Finn (SouthFinland)
+
31.9%
Sardinian (Sardinia)
@
19.67


19

69.9%
Latvian (Latvia)
+
30.1%
French (SouthFrance)
@
19.7


20

69%
Belarusian (Belarus)
+
31%
Sardinian (Sardinia)
@
19.7




Dodecad K12b Oracle results:

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Kit HZ6868325

Admix Results (sorted):



#
Population
Percent


1
North_European
49.17


2
Atlantic_Med
33.77


3
Caucasus
9.39


4
Southwest_Asian
4.93


5
South_Asian
1.15


6
East_African
0.78


7
Sub_Saharan
0.61


8
East_Asian
0.2


9
Southeast_Asian
0.01



Single Population Sharing:



#
Population (source)
Distance


1
German (Dodecad)
7.61


2
Hungarians (Behar)
9.83


3
Dutch (Dodecad)
12.38


4
Mixed_Germanic (Dodecad)
12.79


5
Swedish (Dodecad)
13.04


6
Norwegian (Dodecad)
13.39


7
CEU30 (1000Genomes)
14.66


8
British_Isles (Dodecad)
14.72


9
English (Dodecad)
14.82


10
Kent (1000Genomes)
14.89


11
Orkney (1000Genomes)
16.51


12
French (Dodecad)
16.72


13
British (Dodecad)
16.98


14
Orcadian (HGDP)
17.01


15
Argyll (1000Genomes)
17.06


16
Irish (Dodecad)
17.11


17
French (HGDP)
17.15


18
Cornwall (1000Genomes)
17.25


19
Polish (Dodecad)
18.02


20
Ukranians (Yunusbayev)
21.22



Mixed Mode Population Sharing:



#

Primary Population (source)
Secondary Population (source)
Distance


1

63.8%
Polish (Dodecad)
+
36.2%
Cantabria (1000Genomes)
@
3.79


2

65%
Polish (Dodecad)
+
35%
Castilla_La_Mancha (1000Genomes)
@
3.92


3

65.3%
Polish (Dodecad)
+
34.7%
Aragon (1000Genomes)
@
3.93


4

64.4%
Lithuanians (Behar)
+
35.6%
Sardinian (HGDP)
@
3.98


5

51.6%
Lithuanian (Dodecad)
+
48.4%
Cantabria (1000Genomes)
@
3.98


6

52.9%
Lithuanian (Dodecad)
+
47.1%
Castilla_La_Mancha (1000Genomes)
@
4.06


7

63.6%
Polish (Dodecad)
+
36.4%
Spanish (Dodecad)
@
4.15


8

61.9%
Polish (Dodecad)
+
38.1%
Cataluna (1000Genomes)
@
4.18


9

53.3%
Lithuanian (Dodecad)
+
46.7%
Aragon (1000Genomes)
@
4.19


10

56.5%
Belorussian (Behar)
+
43.5%
Cantabria (1000Genomes)
@
4.24


11

65%
Polish (Dodecad)
+
35%
Valencia (1000Genomes)
@
4.26


12

63.5%
Polish (Dodecad)
+
36.5%
Spaniards (Behar)
@
4.27


13

53.4%
Galicia (1000Genomes)
+
46.6%
Lithuanians (Behar)
@
4.27


14

51.2%
Lithuanian (Dodecad)
+
48.8%
Spaniards (Behar)
@
4.3


15

66.6%
Ukranians (Yunusbayev)
+
33.4%
Pais_Vasco (1000Genomes)
@
4.3


16

50.6%
Lithuanians (Behar)
+
49.4%
Castilla_La_Mancha (1000Genomes)
@
4.38


17

58.1%
Belorussian (Behar)
+
41.9%
Aragon (1000Genomes)
@
4.42


18

51.3%
Lithuanian (Dodecad)
+
48.7%
Spanish (Dodecad)
@
4.42


19

50.5%
Cataluna (1000Genomes)
+
49.5%
Lithuanian (Dodecad)
@
4.44


20

51%
Spaniards (Behar)
+
49%
Lithuanians (Behar)
@
4.44