sábado, 29 de março de 2014

My Autossomal Eurogenes K13 Admixture Proportions

My Autossomal Eurogenes K13 Admixture Proportions
GENY DOS SANTOS FLORENTINO
My Autossomal 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: 140.79 seconds

Population 
North_Atlantic3.07%
Baltic1.39%
West_Med2.12%
West_Asian1.54%
East_Med-    
Red_Sea0.59%
South_Asian-    
East_Asian-    
Siberian-    
Amerindian2.02%
Oceanian0.18%
Northeast_African5.97%
Sub-Saharan83.11%


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.
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 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.

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