My Autossomal Eurogenes K13 Admixture Proportions

My Autossomal Eurogenes K13 Admixture Proportions

GENY DOS SANTOS FLORENTINO

My Autossomal Eurogenes K13 Admixture Proportions

GEDmatch.Com Oracle

Eurogenes K13 Admixture Proportions

Eurogenes K13 Admixture Proportions

This utility uses the Eurogenes K13 model (rev 21 Nov 2013), 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: 8.134088e-01   Elapsed Time: 63.90 seconds

Population   North_Atlantic 3.07% Baltic 1.39% West_Med 2.12% West_Asian 1.54% East_Med -     Red_Sea 0.59% South_Asian -     East_Asian -     Siberian -     Amerindian 2.02% Oceanian 0.18% Northeast_African 5.97% Sub-Saharan 83.11%

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.

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 K13 Oracle results:

K13 Oracle ref data revised 21 Nov 2013

Kit F229750

Admix Results (sorted):

#	Population	Percent
1	Sub-Saharan	83.11
2	Northeast_African	5.97
3	North_Atlantic	3.07
4	West_Med	2.12
5	Amerindian	2.02
6	West_Asian	1.54
7	Baltic	1.39
8	Red_Sea	0.59
9	Oceanian	0.18

Single Population Sharing:

#	Population (source)	Distance
1	Mandenka	8.03
2	Bantu_S.W.	9.16
3	Bantu_S.E.	10.4
4	Yoruban	14.86
5	Biaka_Pygmy	17.53
6	Luhya	24.05
7	Bantu_N.E.	25.01
8	Mbuti_Pygmy	34.97
9	San	46.01
10	Sandawe	70.44
11	Sudanese	72.73
12	Ethiopian_Anuak	78.77
13	Maasai	79.28
14	Hadza	84.29
15	Mozabite_Berber	88.34
16	Algerian	90.17
17	Moroccan	92.19
18	Egyptian	96.73
19	Ethiopian_Gumuz	96.75
20	Bedouin	100.51

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		93.5%	Mandenka	+	6.5%	Irish	@	2.93
2		93.4%	Mandenka	+	6.6%	Dutch	@	2.96
3		93.4%	Mandenka	+	6.6%	Orcadian	@	2.96
4		93.5%	Mandenka	+	6.5%	West_Scottish	@	2.97
5		93.4%	Mandenka	+	6.6%	German	@	2.97
6		93.5%	Mandenka	+	6.5%	Southwest_English	@	2.97
7		93.4%	Mandenka	+	6.6%	Southeast_English	@	2.98
8		93.5%	Mandenka	+	6.5%	Norwegian	@	3.01
9		93.3%	Mandenka	+	6.7%	French	@	3.01
10		93.4%	Mandenka	+	6.6%	Southwest_French	@	3.02
11		93.5%	Mandenka	+	6.5%	Danish	@	3.02
12		93.5%	Mandenka	+	6.5%	Swedish	@	3.07
13		93.3%	Mandenka	+	6.7%	Spanish_Cantabria	@	3.08
14		93.3%	Mandenka	+	6.7%	Spanish_Cataluna	@	3.11
15		93.6%	Mandenka	+	6.4%	French_Basque	@	3.12
16		93.3%	Mandenka	+	6.7%	Hungarian	@	3.14
17		93.3%	Mandenka	+	6.7%	Austrian	@	3.15
18		93.4%	Mandenka	+	6.6%	Spanish_Castilla_La_Mancha	@	3.16
19		93.4%	Mandenka	+	6.6%	Spanish_Valencia	@	3.16
20		93.5%	Mandenka	+	6.5%	Spanish_Aragon	@	3.16

Gedmatch.Com

Eurogenes K13 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

13 components mode.
Component threshold auto-set to 0.930%. Admix results below that value will not be considered.


Kit Number: F229750

Admix Results (sorted):

#	Population	Percent
1	Sub-Saharan	83.76
2	Northeast_African	6.02
3	North_Atlantic	3.09
4	West_Med	2.13
5	Amerindian	2.04
6	West_Asian	1.56
7	Baltic	1.40

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

Least-squares method.

Using 1 population approximation:
1 Mandenka @ 7.103
2 Bantu_S.W. @ 8.615
3 Bantu_S.E. @ 9.912
4 Yoruban @ 12.741
5 Yoruban @ 12.741
6 Biaka_Pygmy @ 16.633
7 Luhya @ 22.540
8 Bantu_N.E. @ 23.402
9 Mbuti_Pygmy @ 32.485
10 San @ 42.386
179 iterations.



Using 2 populations approximation:
1 50% Mandenka +50% Mandenka @ 7.103
2 50% Bantu_S.W. +50% Mandenka @ 7.117
3 50% Bantu_S.E. +50% Mandenka @ 7.299
4 50% Bantu_S.E. +50% Yoruban @ 7.976
5 50% Bantu_S.E. +50% Yoruban @ 7.976
6 50% Biaka_Pygmy +50% Yoruban @ 8.193
7 50% Biaka_Pygmy +50% Yoruban @ 8.193
8 50% Bantu_S.W. +50% Yoruban @ 8.366
9 50% Bantu_S.W. +50% Yoruban @ 8.366
10 50% Bantu_S.W. +50% Bantu_S.W. @ 8.615
16110 iterations.



Using 3 populations approximation:
1 50% Mandenka +25% Bantu_S.E. +25% Mandenka @ 6.826
2 50% Mandenka +25% Bantu_S.W. +25% Mandenka @ 6.902
3 50% Mandenka +25% Bantu_N.E. +25% Yoruban @ 7.014
4 50% Mandenka +25% Bantu_N.E. +25% Yoruban @ 7.014
5 50% Mandenka +25% Biaka_Pygmy +25% Mandenka @ 7.067
6 50% Mandenka +25% Luhya +25% Yoruban @ 7.080
7 50% Mandenka +25% Luhya +25% Yoruban @ 7.080
8 50% Yoruban +25% Bantu_N.E. +25% Mandenka @ 7.086
9 50% Yoruban +25% Bantu_N.E. +25% Mandenka @ 7.086
10 50% Mandenka +25% Mandenka +25% Mandenka @ 7.103
298174 iterations.



Using 4 populations approximation:
1 Bantu_S.E. + Mandenka + Mandenka + Mandenka @ 6.826
2 Bantu_S.W. + Mandenka + Mandenka + Mandenka @ 6.902
3 Bantu_N.E. + Mandenka + Mandenka + Yoruban @ 7.014
4 Bantu_N.E. + Mandenka + Mandenka + Yoruban @ 7.014
5 Biaka_Pygmy + Mandenka + Mandenka + Mandenka @ 7.067
6 Luhya + Mandenka + Mandenka + Yoruban @ 7.080
7 Luhya + Mandenka + Mandenka + Yoruban @ 7.080
8 Bantu_N.E. + Mandenka + Yoruban + Yoruban @ 7.086
9 Bantu_N.E. + Mandenka + Yoruban + Yoruban @ 7.086
10 Bantu_N.E. + Mandenka + Yoruban + Yoruban @ 7.086
11 Mandenka + Mandenka + Mandenka + Mandenka @ 7.103
12 Bantu_S.W. + Bantu_S.W. + Mandenka + Mandenka @ 7.117
13 Biaka_Pygmy + Mandenka + Mandenka + Yoruban @ 7.181
14 Biaka_Pygmy + Mandenka + Mandenka + Yoruban @ 7.181
15 Bantu_S.E. + Bantu_S.W. + Mandenka + Mandenka @ 7.183
16 Luhya + Mandenka + Yoruban + Yoruban @ 7.232
17 Luhya + Mandenka + Yoruban + Yoruban @ 7.232
18 Luhya + Mandenka + Yoruban + Yoruban @ 7.232
19 Bantu_S.E. + Bantu_S.E. + Mandenka + Mandenka @ 7.299
20 Bantu_S.E. + Bantu_S.E. + Mandenka + Yoruban @ 7.403

7667501 iterations.

Done.

Elapsed time 4.2062 seconds.

Gedmatch.Com

Eurogenes K13 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. 179 populations found.
13 population clusters.

Kit Number: F229750

Admix Results:

#	Population	Percent
1	North_Atlantic	3.07
2	Baltic	1.39
3	West_Med	2.12
4	West_Asian	1.54
5	East_Med	0.00
6	Red_Sea	0.59
7	South_Asian	0.00
8	East_Asian	0.00
9	Siberian	0.00
10	Amerindian	2.02
11	Oceanian	0.18
12	Northeast_African	5.97
13	Sub-Saharan	83.11

Pct. Calc. Option 2

0	Unable to determine	0.02%
1	Mandenka	41.62%
2	Yoruban	20.75%
3	Yoruban	19.48%
4	French	7.57%
5	Sudanese	3.26%
6	Biaka_Pygmy	2.66%
7	Bantu_S.W.	2.61%
8	Mayan	1.89%
9	Karitiana	0.13%
10	Chechen	0.01%

Total RMSD: 0.828345


Elapsed time 0.9763 seconds.