My Autossomal Eurogenes EUtest V2 K15 Admixture Proportions

My Autossomal Eurogenes EUtest V2 K15 Admixture Proportions

GENY DOS SANTOS FLORENTINO

My Autossomal Eurogenes EUtest V2 K15 Admixture Proportions

Eurogenes EUtest V2 K15 Admixture Proportions

This utility uses the Eurogenes EUtest V2 K15 model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Project Blog.

Kit Number: F229750   Iteration: 1000   Delta-Q: 1.440693e-01   Elapsed Time: 140.39 seconds

Population   North_Sea -     Atlantic 4.44% Baltic 0.17% Eastern_Euro 1.62% West_Med 1.11% West_Asian 0.68% East_Med -     Red_Sea 0.47% South_Asian -     Southeast_Asian -     Siberian -     Amerindian 1.69% Oceanian 0.12% Northeast_African 5.39% Sub-Saharan 84.30%

Web site and contents ©Copyright 2011-2014 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.

GEDmatch.Com Oracle

This program is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.

Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.

Eurogenes EUtest V2 K15 Oracle results:

Kit F229750

Admix Results (sorted):

#	Population	Percent
1	Sub-Saharan	84.3
2	Northeast_African	5.39
3	Atlantic	4.44
4	Amerindian	1.69
5	Eastern_Euro	1.62
6	West_Med	1.11
7	West_Asian	0.68
8	Red_Sea	0.47
9	Baltic	0.17
10	Oceanian	0.12

Single Population Sharing:

#	Population (source)	Distance
1	Mandenka	8.55
2	Bantu_S.W.	9.15
3	Bantu_S.E.	10.13
4	Yoruban	14.83
5	Biaka_Pygmy	15.39
6	Luhya	22.71
7	Bantu_N.E.	23.55
8	Mbuti_Pygmy	30.57
9	San	46.65
10	Sudanese	61.58
11	Ethiopian_Anuak	68.86
12	Sandawe	74.91
13	Maasai	81.03
14	Hadza	85.31
15	Ethiopian_Gumuz	91.48
16	Mozabite_Berber	93.19
17	Algerian	94.76
18	Moroccan	97.11
19	Egyptian	101.7
20	Bulgarian	105.39

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		93.2%	Mandenka	+	6.8%	French_Basque	@	3.02
2		93.2%	Mandenka	+	6.8%	Southwest_French	@	3.3
3		93.2%	Mandenka	+	6.8%	Spanish_Aragon	@	3.34
4		93.2%	Mandenka	+	6.8%	Spanish_Valencia	@	3.38
5		93.2%	Mandenka	+	6.8%	Spanish_Castilla_La_Mancha	@	3.39
6		93.2%	Mandenka	+	6.8%	Spanish_Cantabria	@	3.43
7		93.2%	Mandenka	+	6.8%	Spanish_Andalucia	@	3.44
8		93.2%	Mandenka	+	6.8%	Spanish_Murcia	@	3.54
9		93.2%	Mandenka	+	6.8%	Spanish_Cataluna	@	3.54
10		93.2%	Mandenka	+	6.8%	Spanish_Castilla_Y_Leon	@	3.57
11		93.2%	Mandenka	+	6.8%	Spanish_Extremadura	@	3.58
12		93.2%	Mandenka	+	6.8%	Portuguese	@	3.68
13		93.2%	Mandenka	+	6.8%	Austrian	@	3.69
14		93.3%	Mandenka	+	6.7%	French	@	3.72
15		93.3%	Mandenka	+	6.7%	North_Italian	@	3.74
16		93.4%	Mandenka	+	6.6%	Southeast_English	@	3.76
17		93.2%	Mandenka	+	6.8%	Spanish_Galicia	@	3.77
18		93.4%	Mandenka	+	6.6%	Irish	@	3.77
19		93.4%	Mandenka	+	6.6%	Southwest_English	@	3.78
20		93.4%	Mandenka	+	6.6%	West_Scottish	@	3.8

Gedmatch.Com

Eurogenes EUtest V2 K15 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: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

Revised: Dec 6, 2012

15 components mode.
Component threshold auto-set to 0.810%. Admix results below that value will not be considered.


Kit Number: F229750

Admix Results (sorted):

#	Population	Percent
1	Sub-Saharan	85.53
2	Northeast_African	5.47
3	Atlantic	4.51
4	Amerindian	1.72
5	Eastern_Euro	1.64
6	West_Med	1.13

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

Least-squares method.

Using 1 population approximation:
1 Mandenka @ 7.002
2 Bantu_S.W. @ 8.423
3 Bantu_S.E. @ 9.642
4 Yoruban @ 11.806
5 Yoruban @ 11.806
6 Biaka_Pygmy @ 14.788
7 Luhya @ 21.391
8 Bantu_N.E. @ 22.113
9 Mbuti_Pygmy @ 28.395
10 San @ 42.561
165 iterations.



Using 2 populations approximation:
1 50% Mandenka +50% Mandenka @ 7.002
2 50% Bantu_S.W. +50% Mandenka @ 7.176
3 50% Bantu_S.E. +50% Mandenka @ 7.377
4 50% Bantu_S.E. +50% Yoruban @ 7.959
5 50% Bantu_S.E. +50% Yoruban @ 7.959
6 50% Biaka_Pygmy +50% Yoruban @ 8.027
7 50% Biaka_Pygmy +50% Yoruban @ 8.027
8 50% Bantu_S.W. +50% Yoruban @ 8.256
9 50% Bantu_S.W. +50% Yoruban @ 8.256
10 50% Bantu_S.W. +50% Bantu_S.W. @ 8.423
13695 iterations.



Using 3 populations approximation:
1 50% Mandenka +25% Bantu_S.E. +25% Mandenka @ 6.898
2 50% Mandenka +25% Bantu_S.W. +25% Mandenka @ 6.938
3 50% Mandenka +25% Mandenka +25% Mandenka @ 7.002
4 50% Mandenka +25% Biaka_Pygmy +25% Mandenka @ 7.043
5 50% Bantu_S.W. +25% Mandenka +25% Mandenka @ 7.176
6 50% Mandenka +25% Bantu_S.W. +25% Bantu_S.W. @ 7.176
7 50% Mandenka +25% Bantu_N.E. +25% Yoruban @ 7.184
8 50% Mandenka +25% Bantu_N.E. +25% Yoruban @ 7.184
9 50% Mandenka +25% Biaka_Pygmy +25% Yoruban @ 7.195
10 50% Mandenka +25% Biaka_Pygmy +25% Yoruban @ 7.195
190577 iterations.



Using 4 populations approximation:
1 Bantu_S.E. + Mandenka + Mandenka + Mandenka @ 6.898
2 Bantu_S.W. + Mandenka + Mandenka + Mandenka @ 6.938
3 Mandenka + Mandenka + Mandenka + Mandenka @ 7.002
4 Biaka_Pygmy + Mandenka + Mandenka + Mandenka @ 7.043
5 Bantu_S.W. + Bantu_S.W. + Mandenka + Mandenka @ 7.176
6 Bantu_N.E. + Mandenka + Mandenka + Yoruban @ 7.184
7 Bantu_N.E. + Mandenka + Mandenka + Yoruban @ 7.184
8 Biaka_Pygmy + Mandenka + Mandenka + Yoruban @ 7.195
9 Biaka_Pygmy + Mandenka + Mandenka + Yoruban @ 7.195
10 Bantu_N.E. + Mandenka + Yoruban + Yoruban @ 7.225
11 Bantu_N.E. + Mandenka + Yoruban + Yoruban @ 7.225
12 Bantu_N.E. + Mandenka + Yoruban + Yoruban @ 7.225
13 Bantu_S.E. + Bantu_S.W. + Mandenka + Mandenka @ 7.253
14 Luhya + Mandenka + Mandenka + Yoruban @ 7.257
15 Luhya + Mandenka + Mandenka + Yoruban @ 7.257
16 Luhya + Mandenka + Yoruban + Yoruban @ 7.362
17 Luhya + Mandenka + Yoruban + Yoruban @ 7.362
18 Luhya + Mandenka + Yoruban + Yoruban @ 7.362
19 Bantu_S.E. + Bantu_S.E. + Mandenka + Mandenka @ 7.377
20 Bantu_S.E. + Mandenka + Mandenka + Yoruban @ 7.442

4788429 iterations.

Done.

Elapsed time 3.0660 seconds.

Gedmatch.Com

Eurogenes EUtest V2 K15 Oracle-x Population Fitting

This program is based on Larry Smiser's Population Fitting spreadsheet.
Questions about the method or results should be sent to him at lwsmiser@gmail.com


Finished reading population data. 165 populations found.
15 population clusters.

Kit Number: F229750

Admix Results:

#	Population	Percent
1	North_Sea	0.00
2	Atlantic	4.44
3	Baltic	0.17
4	Eastern_Euro	1.62
5	West_Med	1.11
6	West_Asian	0.68
7	East_Med	0.00
8	Red_Sea	0.47
9	South_Asian	0.00
10	Southeast_Asian	0.00
11	Siberian	0.00
12	Amerindian	1.69
13	Oceanian	0.12
14	Northeast_African	5.39
15	Sub-Saharan	84.30

Pct. Calc. Option 2

0	Unable to determine	0.56%
1	Mandenka	38.18%
2	Yoruban	30.91%
3	Yoruban	16.82%
4	French_Basque	4.79%
5	Luhya	4.12%
6	Pima	1.33%
7	Chuvash	1.32%
8	Bantu_S.E.	0.80%
9	Southwest_French	0.67%
10	Mayan	0.51%

Total RMSD: 0.681405


Elapsed time 0.6462 seconds.