MDLP K13 Ultimate beta-calculator

[1798]

Lochsbour F999918
# Population Percent
1 WHG-UHG 56.37
2 ENF 41.49
Using 3 populations approximation:
1 50% Lithuanian +25% Lithuanian +25% United-Kingdom @ 28.569082

Rise98 F999941
# Population Percent
1 ENF 36.20
2 WHG-UHG 35.71
3 ANE 22.20
4 Caucas-Gedrosia 3.64
5 ASI 1.05
Using 4 populations approximation:
1 Icelandic + Lithuanian + Ukrainian_East + Vepsa @ 1.422036

Stuttgart F999916
# Population Percent
1 ENF 59.47
2 Caucas-Gedrosia 20.22
3 NearEast 12.66
4 WHG-UHG 7.65

Using 4 populations approximation:
1 Druze + Sardinian + Sardinian + Sardinian @ 6.004876

La Brana F999915
# Population Percent
1 WHG-UHG 59.65
2 ENF 36.25
3 EastAsian 2.96
4 Oceanian 1.12

Using 3 populations approximation:
1 50% Lithuanian +25% Ukrainian_East +25% Ukrainian_East @ 30.576555

Where did the two HGs, Lochsbour and La Brana get their ENF?

[Armando]

I have found 23andme to still be the calculator that consistently provides results that more closely match people's known ancestry. None of the Gedmatch calculators come anywhere close to 23andme and Ancestry comes in a close second. My conclusion is based on hundreds of results and many of the European countries, Asia, Africa, and the Americas (U.S., Canada, and Latin America) and not just a few family members or from just a country or two.

[1798]

I agree about FTDNA's MyOrigins. For me, it feels somewhat coarse (95% Finnish&Siberia + 5% Scandinavia), but still it is as good as it gets, compared to facts: my known ancestry and my FF and haplogroup matches' geographical distribution.

We need some clever person to create a decent calculator for western Europeans.

[192971]

This is not a good calculator for you or I. I think that the K15 is the only one that is okay for me at gedmatch. FTDNA's MyOrigins is also very accurate for my wife's and my ancestry.

I agree about FTDNA's MyOrigins. For me, it feels somewhat coarse (95% Finnish&Siberia + 5% Scandinavia), but still it is as good as it gets, compared to facts: my known ancestry and my FF and haplogroup matches' geographical distribution.

[1798]

My West-Finnish results are below. I find it hard to see what is so 'ultimate' in these. Population percents seem normal.

In Oracle, Finland_West population is missing and somehow I end up having most shared roots with Ing(e)rian (the component 'Inkeri' is Ingria in Finnish). Ingrian Finns moved to Ingria as late as 17th century, and they are not ancestral to me.

The 4-Ancestors Oracle results are again as 'random' as one could expect. Not totally random, but still not very convincing.

# Population Percent
1 ENF 34.84
2 WHG-UHG 33.66
3 ANE 19.94
4 Siberian 5.38
5 Caucas-Gedrosia 3.3
6 Arctic 1.4
7 Amerindian 1.02
8 Subsaharian 0.45

Single Population Sharing:
1 Ingerian 1.66
2 Finn 2.41
3 Finland_South 3.22
4 Russian_Kostroma 3.28
5 North-Russian 4.06
6 Karelian 4.33
7 Finland_North 4.52
8 Swedish 4.69
9 Russian_Tver 4.87
10 Russian_Archangelsk 5.3

Mixed Mode Population Sharing:
1 85.3% Ingerian + 14.7% Inkeri @ 0.62
2 89.6% Ingerian + 10.4% Hungary @ 0.77
3 93.3% Ingerian + 6.7% Swiss @ 0.77
4 90.5% Ingerian + 9.5% Germany_South @ 0.77

4-Ancestors Oracle
Using 4 populations approximation:
1 Orcadian + Saami + Swedish + Ukrainian_East @ 1.081696
2 Icelandic + Saami + Swedish + Ukrainian_East @ 1.094846

This is not a good calculator for you or I. I think that the K15 is the only one that is okay for me at gedmatch. FTDNA's MyOrigins is also very accurate for my wife's and my ancestry.

[192971]

My West-Finnish results are below. I find it hard to see what is so 'ultimate' in these. Population percents seem normal.

In Oracle, Finland_West population is missing and somehow I end up having most shared roots with Ing(e)rian (the component 'Inkeri' is Ingria in Finnish). Ingrian Finns moved to Ingria as late as 17th century, and they are not ancestral to me.

The 4-Ancestors Oracle results are again as 'random' as one could expect. Not totally random, but still not very convincing.

# Population Percent
1 ENF 34.84
2 WHG-UHG 33.66
3 ANE 19.94
4 Siberian 5.38
5 Caucas-Gedrosia 3.3
6 Arctic 1.4
7 Amerindian 1.02
8 Subsaharian 0.45

Single Population Sharing:
1 Ingerian 1.66
2 Finn 2.41
3 Finland_South 3.22
4 Russian_Kostroma 3.28
5 North-Russian 4.06
6 Karelian 4.33
7 Finland_North 4.52
8 Swedish 4.69
9 Russian_Tver 4.87
10 Russian_Archangelsk 5.3

Mixed Mode Population Sharing:
1 85.3% Ingerian + 14.7% Inkeri @ 0.62
2 89.6% Ingerian + 10.4% Hungary @ 0.77
3 93.3% Ingerian + 6.7% Swiss @ 0.77
4 90.5% Ingerian + 9.5% Germany_South @ 0.77

4-Ancestors Oracle
Using 4 populations approximation:
1 Orcadian + Saami + Swedish + Ukrainian_East @ 1.081696
2 Icelandic + Saami + Swedish + Ukrainian_East @ 1.094846

[1798]

Kit Num: F415715
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com

MDLP K13 Ultimate 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.

MDLP K13 'Ultimate' Oracle

Admix Results (sorted):

# Population Percent
1 ENF 44.02
2 WHG-UHG 28.14
3 ANE 19.31
4 Caucas-Gedrosia 7.85


Finished reading population data. 662 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 North_European @ 1.736589
2 Welsh @ 2.171997
3 English_GBR @ 2.206724
4 European_Utah @ 2.351213
5 Belgian @ 2.692698
6 Germany_North @ 2.944391
7 Slovenian2 @ 3.750807
8 North_German @ 3.997185
9 Swede @ 4.844583
10 English_Cornwall_GBR @ 4.974144
11 South-German @ 5.014309
12 Czech2 @ 5.146169
13 German @ 5.172989
14 English_Kent_GBR @ 5.360534
15 Sweden @ 5.382270
16 Czech @ 5.414677
17 Germany_South @ 5.466605
18 Slovak @ 5.583371
19 Austrian @ 5.655535
20 Slovenian @ 5.821773

Using 2 populations approximation:
1 50% English_GBR +50% European_Utah @ 0.962761


Using 3 populations approximation:
1 50% Czech2 +25% English_Kent_GBR +25% French @ 0.782440


Using 4 populations approximation:
1 Czech2 + English_GBR + French + Swede @ 0.694811
2 English_GBR + French + Germany_North + Slovak @ 0.750270
3 Czech2 + English_Kent_GBR + French + Slovenian2 @ 0.765860
4 French + Germany_North + Germany_North + Germany_North @ 0.779164
5 Czech2 + Czech2 + English_Kent_GBR + French @ 0.782440
6 Czech2 + English_GBR + French + Germany_North @ 0.786121
7 Czech2 + English_GBR + French + North_German @ 0.786296
8 Czech2 + English_Cornwall_GBR + French + Slovenian2 @ 0.800700
9 Basque_French + Moldavian + Russian_Voronezh + Ukranian @ 0.804896
10 French + North_European + Slovenian2 + Swede @ 0.818001
11 Russian_Voronezh + Slovenian + Spanish_Pais_Vasco_IBS + Ukranian @ 0.824007
12 French + North_European + Sorbs + Welsh @ 0.840242
13 Czech2 + Czech2 + English_Cornwall_GBR + French @ 0.843319
14 Czech2 + English_Cornwall_GBR + French + Germany_North @ 0.844575
15 English_GBR + French + Polish + Welsh @ 0.847485
16 Basque_French + Moldavian + Russian_Smolensk + Ukranian @ 0.850021
17 French + Germany_North + Germany_North + North_European @ 0.854725
18 Basque_French + Center-Russian + Moldavian + Ukranian @ 0.859370
19 Basque_French + East-Belarusian + Moldavian + Ukranian @ 0.864104
20 Basque_French + Moldavian + Polish + Russian_Voronezh @ 0.867311

Done.

Elapsed time 22.4504 seconds.

This a not a good calculator for the Irish. My wifes result is Cornwall and mine Argyll.

[kevinduffy]

Kit Num: F415715
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com

MDLP K13 Ultimate 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.

MDLP K13 'Ultimate' Oracle

Admix Results (sorted):

# Population Percent
1 ENF 44.02
2 WHG-UHG 28.14
3 ANE 19.31
4 Caucas-Gedrosia 7.85


Finished reading population data. 662 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 North_European @ 1.736589
2 Welsh @ 2.171997
3 English_GBR @ 2.206724
4 European_Utah @ 2.351213
5 Belgian @ 2.692698
6 Germany_North @ 2.944391
7 Slovenian2 @ 3.750807
8 North_German @ 3.997185
9 Swede @ 4.844583
10 English_Cornwall_GBR @ 4.974144
11 South-German @ 5.014309
12 Czech2 @ 5.146169
13 German @ 5.172989
14 English_Kent_GBR @ 5.360534
15 Sweden @ 5.382270
16 Czech @ 5.414677
17 Germany_South @ 5.466605
18 Slovak @ 5.583371
19 Austrian @ 5.655535
20 Slovenian @ 5.821773

Using 2 populations approximation:
1 50% English_GBR +50% European_Utah @ 0.962761


Using 3 populations approximation:
1 50% Czech2 +25% English_Kent_GBR +25% French @ 0.782440


Using 4 populations approximation:
1 Czech2 + English_GBR + French + Swede @ 0.694811
2 English_GBR + French + Germany_North + Slovak @ 0.750270
3 Czech2 + English_Kent_GBR + French + Slovenian2 @ 0.765860
4 French + Germany_North + Germany_North + Germany_North @ 0.779164
5 Czech2 + Czech2 + English_Kent_GBR + French @ 0.782440
6 Czech2 + English_GBR + French + Germany_North @ 0.786121
7 Czech2 + English_GBR + French + North_German @ 0.786296
8 Czech2 + English_Cornwall_GBR + French + Slovenian2 @ 0.800700
9 Basque_French + Moldavian + Russian_Voronezh + Ukranian @ 0.804896
10 French + North_European + Slovenian2 + Swede @ 0.818001
11 Russian_Voronezh + Slovenian + Spanish_Pais_Vasco_IBS + Ukranian @ 0.824007
12 French + North_European + Sorbs + Welsh @ 0.840242
13 Czech2 + Czech2 + English_Cornwall_GBR + French @ 0.843319
14 Czech2 + English_Cornwall_GBR + French + Germany_North @ 0.844575
15 English_GBR + French + Polish + Welsh @ 0.847485
16 Basque_French + Moldavian + Russian_Smolensk + Ukranian @ 0.850021
17 French + Germany_North + Germany_North + North_European @ 0.854725
18 Basque_French + Center-Russian + Moldavian + Ukranian @ 0.859370
19 Basque_French + East-Belarusian + Moldavian + Ukranian @ 0.864104
20 Basque_French + Moldavian + Polish + Russian_Voronezh @ 0.867311

Done.

Elapsed time 22.4504 seconds.

[gatty]

Here are my gedmatch results.

Ftdna

[spoiler]Admix Results (sorted):

# Population Percent
1 ENF 43.24
2 WHG-UHG 28.23
3 ANE 20.9
4 Caucas-Gedrosia 4.86
5 Amerindian 0.95
6 ASI 0.64
7 NearEast 0.45
8 Subsaharian 0.34
9 Arctic 0.22
10 EastAsian 0.17

Single Population Sharing:

# Population (source) Distance
1 English_GBR 2.22
2 North_German 2.73
3 English_Cornwall_GBR 2.82
4 North_European 2.96
5 Germany_North 3.23
6 Sweden 3.64
7 Welsh 3.8
8 Scottish_Argyll_Bute_GBR 3.83
9 English_Kent_GBR 3.84
10 Swede 3.95
11 European_Utah 4.27
12 Belgian 4.51
13 Slovenian2 4.69
14 Orcadian 5.17
15 German 5.25
16 Slovak 5.78
17 Czech 5.98
18 Czech2 6.06
19 Sorbs 6.16
20 Austrian 6.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 89.8% English_Kent_GBR + 10.2% Roma_BH @ 1.23
2 91.1% English_Kent_GBR + 8.9% Roma_Bulgarian @ 1.24
3 91.7% English_Kent_GBR + 8.3% Roma_Macedonian @ 1.26
4 90.4% English_Kent_GBR + 9.6% Roma_Slovenian @ 1.26
5 91% English_Kent_GBR + 9% Roma @ 1.28
6 93.4% English_Kent_GBR + 6.6% Parsi @ 1.29
7 69.3% Russian_Smolensk + 30.7% Spanish_Valencia_IBS @ 1.29
8 93.6% English_Kent_GBR + 6.4% Iranian @ 1.35
9 68.5% Russian_Smolensk + 31.5% Spanish_Cantabria_IBS @ 1.36
10 92.6% English_Kent_GBR + 7.4% Tajik_tadjik_pl @ 1.42
11 93% English_Kent_GBR + 7% Azerbaijani @ 1.43
12 93.9% English_Cornwall_GBR + 6.1% Roma_Bulgarian @ 1.43
13 90.3% Scottish_Argyll_Bute_GBR + 9.7% Maltese @ 1.44
14 93.3% English_Kent_GBR + 6.7% Kurd_WGA @ 1.45
15 92.7% English_Kent_GBR + 7.3% Turkmen @ 1.46
16 78.8% Scottish_Argyll_Bute_GBR + 21.2% Swiss @ 1.46
17 89.6% Scottish_Argyll_Bute_GBR + 10.4% Italian_WestSicilian @ 1.46
18 93.2% English_Kent_GBR + 6.8% Baku_WGA @ 1.46
19 93.3% English_Kent_GBR + 6.7% Kurd @ 1.47
20 79.1% English_Cornwall_GBR + 20.9% Inkeri @ 1.47

Least-squares method.

Using 1 population approximation:
1 English_GBR @ 2.336164
2 North_German @ 2.812779
3 English_Cornwall_GBR @ 2.907866
4 North_European @ 3.226553
5 Germany_North @ 3.450758
6 Sweden @ 3.621289
7 English_Kent_GBR @ 3.934721
8 Swede @ 3.960720
9 Scottish_Argyll_Bute_GBR @ 3.964923
10 Welsh @ 4.171825
11 European_Utah @ 4.785240
12 Belgian @ 4.962938
13 Slovenian2 @ 5.192671
14 Orcadian @ 5.336332
15 German @ 5.682569
16 Sorbs @ 6.202446
17 Slovak @ 6.308795
18 Czech @ 6.362631
19 Czech2 @ 6.710639
20 Norwegian @ 6.921367

Using 2 populations approximation:
1 50% Belgian +50% Scottish_Argyll_Bute_GBR @ 1.550540


Using 3 populations approximation:
1 50% Poland +25% Spanish_Pais_Vasco_IBS +25% Vepsa @ 0.843633


Using 4 populations approximation:
1 French_South + Poland + Russian_Smolensk + Vepsa @ 0.754485
2 Czech + Russian_Smolensk + Spanish_Pais_Vasco_IBS + Vepsa @ 0.761542
3 Russia + Slovak + Spanish_Pais_Vasco_IBS + Vepsa @ 0.802585
4 Basque_French + Polish + Russian_Smolensk + Vepsa @ 0.828800
5 Basque_Spanish + Russian_Smolensk + Russian_Smolensk + Vepsa @ 0.832547
6 Poland + Poland + Spanish_Pais_Vasco_IBS + Vepsa @ 0.843633
7 English_Cornwall_GBR + English_Kent_GBR + French + Vepsa @ 0.851031
8 Czech2 + Russia + Spanish_Pais_Vasco_IBS + Vepsa @ 0.851871
9 German + Spanish_Pais_Vasco_IBS + Vepsa + West-Belarusian @ 0.854909
10 German + Russian_Smolensk + Spanish_Pais_Vasco_IBS + Vepsa @ 0.857737
11 Slovak + Spanish_Pais_Vasco_IBS + Vepsa + West-Belarusian @ 0.866571
12 Basque_French + Russian_Orjol + Russian_Smolensk + Vepsa @ 0.867074
13 Russian_Smolensk + Slovak + Spanish_Pais_Vasco_IBS + Vepsa @ 0.876363
14 Basque_French + Russian_Smolensk + Russian_Smolensk + Vepsa @ 0.879244
15 Russian_Smolensk + Sorbs + Spanish_Pais_Vasco_IBS + Vepsa @ 0.879645
16 French_South + Poland + Russian_Orjol + Vepsa @ 0.889149
17 Latvian + Slovenian + Spanish_Pais_Vasco_IBS + Vepsa @ 0.890190
18 French_South + Poland + Russian_Voronezh + Vepsa @ 0.892408
19 East-Belarusian + French_South + Poland + Vepsa @ 0.896246
20 French_South + Russia + Slovak + Vepsa @ 0.896858 [/spoiler]


23andMe

[spoiler]Admix Results (sorted):

# Population Percent
1 ENF 42.26
2 WHG-UHG 27.34
3 ANE 22.49
4 Caucas-Gedrosia 5.87
5 NearEast 0.97
6 Amerindian 0.81
7 Oceanian 0.15
8 EastAsian 0.06
9 Subsaharian 0.05

Single Population Sharing:

# Population (source) Distance
1 North_European 2.81
2 North_German 2.91
3 English_GBR 3.13
4 Welsh 3.31
5 Germany_North 3.35
6 Slovenian2 4.13
7 Belgian 4.18
8 English_Cornwall_GBR 4.25
9 Sweden 4.35
10 Swede 4.44
11 German 4.54
12 European_Utah 4.83
13 Slovak 5.02
14 Scottish_Argyll_Bute_GBR 5.08
15 Czech2 5.4
16 English_Kent_GBR 5.63
17 Austrian 5.85
18 Germany_South 6.06
19 South-German 6.2
20 Czech 6.21

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.5% English_Cornwall_GBR + 7.5% Iranian @ 1.01
2 92% English_Cornwall_GBR + 8% Kurd_WGA @ 1.04
3 92% English_Cornwall_GBR + 8% Kurd @ 1.05
4 91.8% English_Cornwall_GBR + 8.2% Azerbaijani @ 1.11
5 92% English_Cornwall_GBR + 8% Baku_WGA @ 1.12
6 92.2% English_Cornwall_GBR + 7.8% Uzbekistani_Jew @ 1.19
7 91.6% English_Cornwall_GBR + 8.4% Azerbaijani_Dagestan @ 1.2
8 91.1% English_Cornwall_GBR + 8.9% Kumyk @ 1.27
9 92.7% English_Cornwall_GBR + 7.3% Uzbek_WGA @ 1.31
10 90.3% English_Kent_GBR + 9.7% Iranian @ 1.39
11 91.4% English_Cornwall_GBR + 8.6% Lak @ 1.4
12 91.4% English_Cornwall_GBR + 8.6% Tabasaran @ 1.42
13 91.5% English_Cornwall_GBR + 8.5% Kabardin @ 1.45
14 90.7% English_Cornwall_GBR + 9.3% Kumyk_Stalskoe @ 1.46
15 90.8% Scottish_Argyll_Bute_GBR + 9.2% Jew_Tat @ 1.47
16 90.9% Scottish_Argyll_Bute_GBR + 9.1% Azerbaijani_Jew @ 1.47
17 91.3% English_Cornwall_GBR + 8.7% Avar @ 1.47
18 92.4% English_Cornwall_GBR + 7.6% Azerbaijani_Jew @ 1.47
19 91.3% Scottish_Argyll_Bute_GBR + 8.7% Georgian_Jew @ 1.48
20 92.6% English_Cornwall_GBR + 7.4% Parsi @ 1.49


Least-squares method.

Using 1 population approximation:
1 North_German @ 2.869889
2 North_European @ 3.108906
3 English_GBR @ 3.360218
4 Germany_North @ 3.516013
5 Welsh @ 3.708270
6 Sweden @ 4.328987
7 Swede @ 4.402972
8 English_Cornwall_GBR @ 4.465067
9 Slovenian2 @ 4.569434
10 Belgian @ 4.740137
11 German @ 4.862438
12 Scottish_Argyll_Bute_GBR @ 5.269455
13 European_Utah @ 5.424862
14 Slovak @ 5.427488
15 English_Kent_GBR @ 5.933351
16 Czech2 @ 5.965976
17 Sorbs @ 6.526643
18 Czech @ 6.586868
19 Austrian @ 6.624165
20 Germany_South @ 6.824989

Using 2 populations approximation:
1 50% North_European +50% North_German @ 2.372735


Using 3 populations approximation:
1 50% English_Cornwall_GBR +25% France +25% Vepsa @ 1.471400


Using 4 populations approximation:
1 English_Cornwall_GBR + English_Cornwall_GBR + France + Vepsa @ 1.471400
2 English_GBR + France + Scottish_Argyll_Bute_GBR + Vepsa @ 1.574680
3 English_Cornwall_GBR + France + Scottish_Argyll_Bute_GBR + Vepsa @ 1.587083
4 North_German + Russian_Smolensk + Spanish_Aragon_IBS + Vepsa @ 1.591090
5 English_Cornwall_GBR + France + North_German + Vepsa @ 1.637359
6 North_German + Russian_Smolensk + Spanish_Valencia_IBS + Vepsa @ 1.640721
7 North_German + Russian_Smolensk + Spanish_Cantabria_IBS + Vepsa @ 1.647025
8 English_Cornwall_GBR + English_GBR + France + Vepsa @ 1.663092
9 Center-Russian + North_German + Spanish_Aragon_IBS + Vepsa @ 1.667986
10 English_GBR + English_GBR + English_GBR + Vepsa @ 1.672587
11 English_Cornwall_GBR + Russian_Smolensk + Spanish_Cataluna_IBS + Vepsa @ 1.676671
12 North_German + Russian_Smolensk + Spanish_Castilla_la_Mancha_IBS + Vepsa @ 1.684340
13 Belgian + English_Cornwall_GBR + English_GBR + Vepsa @ 1.694717
14 Germany_North + Russian_Smolensk + Spanish_Cantabria_IBS + Vepsa @ 1.705147
15 English_Cornwall_GBR + English_GBR + Vepsa + Welsh @ 1.715993
16 France + North_European + Scottish_Argyll_Bute_GBR + Vepsa @ 1.717409
17 Russian_Smolensk + Slovenian2 + Spanish_Cantabria_IBS + Vepsa @ 1.718187
18 Center-Russian + North_German + Spanish_Valencia_IBS + Vepsa @ 1.730189
19 French + Scottish_Argyll_Bute_GBR + Vepsa + Welsh @ 1.739644
20 English_Cornwall_GBR + French + North_German + Vepsa @ 1.742092

Done.[/spoiler]

[1798]

My Wife
# Population Percent
1 ENF 43.54
2 WHG-UHG 28.11
3 ANE 21.57
4 Caucas-Gedrosia 6.31
5 ASI 0.47
Mine
# Population Percent
1 ENF 42.46
2 WHG-UHG 28.96
3 ANE 22.90
4 Caucas-Gedrosia 4.71