Oracle-4 on Gedmatch

Quote:

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Originally Posted by Jackson

Try Admixture Proportions Analysis > Dodecad> Dodecad K12b
And also: Admixture Proportions Analysis > Eurogeenes > Jtest/EUtest (these are what Scarlet Ibis is using)

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And now these:

Dodecad K12b

Using 1 population approximation:
1 Mixed_Germanic @ 7.790
2 French @ 9.193
3 German @ 9.416
4 French @ 9.609
5 Dutch @ 9.669
6 Kent @ 10.976
7 CEU30 @ 11.354
8 English @ 11.520
9 British_Isles @ 12.945
10 Cornwall @ 13.099
223 iterations.



Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 3.247
2 50% N_Italian +50% Norwegian @ 3.711
3 50% North_Italian +50% Swedish @ 4.185
4 50% French +50% Hungarians @ 4.363
5 50% French +50% Hungarians @ 4.445
6 50% Norwegian +50% O_Italian @ 4.721
7 50% Irish +50% Romanians @ 4.760
8 50% French +50% German @ 4.795
9 50% Orcadian +50% Romanians @ 4.829
10 50% French +50% German @ 4.859
24976 iterations.



Using 3 populations approximation:
1 50% Irish +25% Hungarians +25% O_Italian @ 2.187
2 50% Orcadian +25% Hungarians +25% O_Italian @ 2.228
3 50% Dutch +25% German +25% O_Italian @ 2.237
4 50% CEU30 +25% German +25% O_Italian @ 2.315
5 50% Orkney +25% Hungarians +25% O_Italian @ 2.354
6 50% Argyll +25% Hungarians +25% O_Italian @ 2.354
7 50% English +25% German +25% O_Italian @ 2.383
8 50% British +25% Hungarians +25% O_Italian @ 2.385
9 50% Mixed_Germanic +25% C_Italian +25% Norwegian @ 2.414
10 50% Mixed_Germanic +25% French +25% Romanians @ 2.424
680877 iterations.



Using 4 populations approximation:
1 CEU30 + Dutch + German + O_Italian @ 2.146
2 Dutch + English + German + O_Italian @ 2.160
3 British_Isles + German + Mixed_Germanic + O_Italian @ 2.161
4 Cornwall + Hungarians + O_Italian + Orkney @ 2.175
5 CEU30 + German + Mixed_Germanic + O_Italian @ 2.181
6 Dutch + German + Kent + O_Italian @ 2.186
7 Hungarians + Irish + Irish + O_Italian @ 2.187
8 English + German + Mixed_Germanic + O_Italian @ 2.188
9 British + Hungarians + O_Italian + Orkney @ 2.195
10 Hungarians + Irish + O_Italian + Orcadian @ 2.202
11 British + Hungarians + O_Italian + Orcadian @ 2.205
12 Cornwall + Hungarians + O_Italian + Orcadian @ 2.208
13 Argyll + British + Hungarians + O_Italian @ 2.209
14 Argyll + Hungarians + Irish + O_Italian @ 2.218
15 Argyll + Cornwall + Hungarians + O_Italian @ 2.224
16 British + Hungarians + Irish + O_Italian @ 2.224
17 German + Mixed_Germanic + O_Italian + Orkney @ 2.228
18 Hungarians + O_Italian + Orcadian + Orcadian @ 2.228
19 Dutch + Dutch + German + O_Italian @ 2.237
20 Hungarians + Irish + O_Italian + Orkney @ 2.237

=================================

Jtest

Using 1 population approximation:
1 West_&_Central_German @ 7.707
2 NL @ 8.559
3 English @ 9.895
4 FR @ 10.424
5 AT @ 11.175
6 Cornish @ 11.222
7 DK @ 11.594
8 Orcadian @ 13.084
9 NO @ 13.428
10 IE @ 13.624
78 iterations.



Using 2 populations approximation:
1 50% North_Swedish +50% Tuscan @ 6.715
2 50% NO +50% Tuscan @ 6.779
3 50% NO +50% North_Italian @ 6.830
4 50% South_&_Central_Swedish +50% Tuscan @ 6.839
5 50% North_Italian +50% South_&_Central_Swedish @ 7.008
6 50% DK +50% North_Italian @ 7.061
7 50% FR +50% West_&_Central_German @ 7.068
8 50% North_Italian +50% North_Swedish @ 7.164
9 50% PT +50% South_&_Central_Swedish @ 7.175
10 50% North_Swedish +50% PT @ 7.211
3081 iterations.



Using 3 populations approximation:
1 50% DK +25% Tuscan +25% West_&_Central_German @ 4.943
2 50% West_&_Central_German +25% DK +25% Tuscan @ 5.044
3 50% DK +25% NL +25% Tuscan @ 5.057
4 50% NL +25% DK +25% Tuscan @ 5.085
5 50% West_&_Central_German +25% NO +25% Tuscan @ 5.112
6 50% NL +25% NO +25% Tuscan @ 5.132
7 50% NL +25% South_&_Central_Swedish +25% Tuscan @ 5.166
8 50% West_&_Central_German +25% South_&_Central_Swedish +25% Tuscan @ 5.204
9 50% NL +25% North_Swedish +25% Tuscan @ 5.230
10 50% NO +25% Tuscan +25% West_&_Central_German @ 5.312
91471 iterations.



Using 4 populations approximation:
1 DK + DK + Tuscan + West_&_Central_German @ 4.943
2 DK + NL + Tuscan + West_&_Central_German @ 5.034
3 DK + Tuscan + West_&_Central_German + West_&_Central_German @ 5.044
4 DK + DK + NL + Tuscan @ 5.057
5 DK + NO + Tuscan + West_&_Central_German @ 5.058
6 DK + NL + NL + Tuscan @ 5.085
7 NL + NO + Tuscan + West_&_Central_German @ 5.091
8 DK + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.105
9 NO + Tuscan + West_&_Central_German + West_&_Central_German @ 5.112
10 NL + NL + NO + Tuscan @ 5.132
11 NL + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.155
12 DK + NL + NO + Tuscan @ 5.159
13 NL + NL + South_&_Central_Swedish + Tuscan @ 5.166
14 DK + NL + South_&_Central_Swedish + Tuscan @ 5.177
15 English + NO + Tuscan + West_&_Central_German @ 5.194
16 DK + English + Tuscan + West_&_Central_German @ 5.196
17 English + North_Swedish + Tuscan + West_&_Central_German @ 5.203
18 South_&_Central_Swedish + Tuscan + West_&_Central_German + West_&_Central_German @ 5.204
19 English + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.213
20 DK + FR + North_Swedish + Tuscan @ 5.222

311867 iterations.

Quote:

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Originally Posted by Scarlet Ibis

I use the Eurogenes ones, because they've been the most accurate for me and my parents so far.

I haven't found the Dodecad K12b to be accurate. For example, check out the top 3 it gives my mom:

Using 1 population approximation:
1 Naga @ 5.261
2 Tu @ 11.197
3 Korean @ 12.510

As far as I know, the Naga are from India? WAAAAAAY off. It's the first time I've ever seen results that bad, to be frank. It might be more accurate for you, though.

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Hmm that's interesting. I find the K12b to be fairly accurate, but the EUtest to be the most accurate (It is consistent across multiple profiles too). It's kind of odd how it's accurate for some and inaccurate for others. Surely if it was like this is would put the results of at least on of the people into question? I'm impressed by the Jtest though (and EUtest) seen multiple people get pretty much exactly correct results.

Quote:

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Originally Posted by Loki

And now these:

Dodecad K12b

Using 1 population approximation:
1 Mixed_Germanic @ 7.790
2 French @ 9.193
3 German @ 9.416
4 French @ 9.609
5 Dutch @ 9.669
6 Kent @ 10.976
7 CEU30 @ 11.354
8 English @ 11.520
9 British_Isles @ 12.945
10 Cornwall @ 13.099
223 iterations.



Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 3.247
2 50% N_Italian +50% Norwegian @ 3.711
3 50% North_Italian +50% Swedish @ 4.185
4 50% French +50% Hungarians @ 4.363
5 50% French +50% Hungarians @ 4.445
6 50% Norwegian +50% O_Italian @ 4.721
7 50% Irish +50% Romanians @ 4.760
8 50% French +50% German @ 4.795
9 50% Orcadian +50% Romanians @ 4.829
10 50% French +50% German @ 4.859
24976 iterations.



Using 3 populations approximation:
1 50% Irish +25% Hungarians +25% O_Italian @ 2.187
2 50% Orcadian +25% Hungarians +25% O_Italian @ 2.228
3 50% Dutch +25% German +25% O_Italian @ 2.237
4 50% CEU30 +25% German +25% O_Italian @ 2.315
5 50% Orkney +25% Hungarians +25% O_Italian @ 2.354
6 50% Argyll +25% Hungarians +25% O_Italian @ 2.354
7 50% English +25% German +25% O_Italian @ 2.383
8 50% British +25% Hungarians +25% O_Italian @ 2.385
9 50% Mixed_Germanic +25% C_Italian +25% Norwegian @ 2.414
10 50% Mixed_Germanic +25% French +25% Romanians @ 2.424
680877 iterations.



Using 4 populations approximation:
1 CEU30 + Dutch + German + O_Italian @ 2.146
2 Dutch + English + German + O_Italian @ 2.160
3 British_Isles + German + Mixed_Germanic + O_Italian @ 2.161
4 Cornwall + Hungarians + O_Italian + Orkney @ 2.175
5 CEU30 + German + Mixed_Germanic + O_Italian @ 2.181
6 Dutch + German + Kent + O_Italian @ 2.186
7 Hungarians + Irish + Irish + O_Italian @ 2.187
8 English + German + Mixed_Germanic + O_Italian @ 2.188
9 British + Hungarians + O_Italian + Orkney @ 2.195
10 Hungarians + Irish + O_Italian + Orcadian @ 2.202
11 British + Hungarians + O_Italian + Orcadian @ 2.205
12 Cornwall + Hungarians + O_Italian + Orcadian @ 2.208
13 Argyll + British + Hungarians + O_Italian @ 2.209
14 Argyll + Hungarians + Irish + O_Italian @ 2.218
15 Argyll + Cornwall + Hungarians + O_Italian @ 2.224
16 British + Hungarians + Irish + O_Italian @ 2.224
17 German + Mixed_Germanic + O_Italian + Orkney @ 2.228
18 Hungarians + O_Italian + Orcadian + Orcadian @ 2.228
19 Dutch + Dutch + German + O_Italian @ 2.237
20 Hungarians + Irish + O_Italian + Orkney @ 2.237

=================================

Jtest

Using 1 population approximation:
1 West_&_Central_German @ 7.707
2 NL @ 8.559
3 English @ 9.895
4 FR @ 10.424
5 AT @ 11.175
6 Cornish @ 11.222
7 DK @ 11.594
8 Orcadian @ 13.084
9 NO @ 13.428
10 IE @ 13.624
78 iterations.



Using 2 populations approximation:
1 50% North_Swedish +50% Tuscan @ 6.715
2 50% NO +50% Tuscan @ 6.779
3 50% NO +50% North_Italian @ 6.830
4 50% South_&_Central_Swedish +50% Tuscan @ 6.839
5 50% North_Italian +50% South_&_Central_Swedish @ 7.008
6 50% DK +50% North_Italian @ 7.061
7 50% FR +50% West_&_Central_German @ 7.068
8 50% North_Italian +50% North_Swedish @ 7.164
9 50% PT +50% South_&_Central_Swedish @ 7.175
10 50% North_Swedish +50% PT @ 7.211
3081 iterations.



Using 3 populations approximation:
1 50% DK +25% Tuscan +25% West_&_Central_German @ 4.943
2 50% West_&_Central_German +25% DK +25% Tuscan @ 5.044
3 50% DK +25% NL +25% Tuscan @ 5.057
4 50% NL +25% DK +25% Tuscan @ 5.085
5 50% West_&_Central_German +25% NO +25% Tuscan @ 5.112
6 50% NL +25% NO +25% Tuscan @ 5.132
7 50% NL +25% South_&_Central_Swedish +25% Tuscan @ 5.166
8 50% West_&_Central_German +25% South_&_Central_Swedish +25% Tuscan @ 5.204
9 50% NL +25% North_Swedish +25% Tuscan @ 5.230
10 50% NO +25% Tuscan +25% West_&_Central_German @ 5.312
91471 iterations.



Using 4 populations approximation:
1 DK + DK + Tuscan + West_&_Central_German @ 4.943
2 DK + NL + Tuscan + West_&_Central_German @ 5.034
3 DK + Tuscan + West_&_Central_German + West_&_Central_German @ 5.044
4 DK + DK + NL + Tuscan @ 5.057
5 DK + NO + Tuscan + West_&_Central_German @ 5.058
6 DK + NL + NL + Tuscan @ 5.085
7 NL + NO + Tuscan + West_&_Central_German @ 5.091
8 DK + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.105
9 NO + Tuscan + West_&_Central_German + West_&_Central_German @ 5.112
10 NL + NL + NO + Tuscan @ 5.132
11 NL + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.155
12 DK + NL + NO + Tuscan @ 5.159
13 NL + NL + South_&_Central_Swedish + Tuscan @ 5.166
14 DK + NL + South_&_Central_Swedish + Tuscan @ 5.177
15 English + NO + Tuscan + West_&_Central_German @ 5.194
16 DK + English + Tuscan + West_&_Central_German @ 5.196
17 English + North_Swedish + Tuscan + West_&_Central_German @ 5.203
18 South_&_Central_Swedish + Tuscan + West_&_Central_German + West_&_Central_German @ 5.204
19 English + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.213
20 DK + FR + North_Swedish + Tuscan @ 5.222

311867 iterations.

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They seem to pick up your Dutch + German + French pretty well, at least in the majority of cases.

Quote:

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Originally Posted by Jackson

They seem to pick up your Dutch + German + French pretty well, at least in the majority of cases.

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Yes definitely! And it corresponds with my ancestry, it's looking good. :)

Tried all the Oracles available. Have put the most accurate in bold - least accurate in grey


MDLP
K5:- Argyll x2 + Cornwall + Slovenia
K6:- Argyll x2 + Cornwall + Slovenia
K7:- Cornwall + Cornwall + Slovenia + Norway
K8:- Basque + Slovakia + Slovenia + Norway
K9:- Basque + Slovakia + Slovenia + Norway
K10:-Cornwall + Wales + Latvia + Portugal
K11:-Cornwall + Kent + Lithuania + Portugal
K12:-SLovenia + Spain + Sweden x2
World:--- German-Nor x2 + Orcadian + British
world22:- British + German-Nor + German + Norway
---------------------------------------------------
Eurogenes
Jtest:-- Denmark x2 + English x2
EUtest:- Denmark x2 + English x2
---------------------------------------------------
Dodecad
V3:--- Irish x4
K7b:-- English x3 + Orkney
K12b:--- British_Isles x2 + English + Mixed_Germanic
World9:- British-Isles + Orkney + Kent x2
---------------------------------------------------
HarappaWorld
British x2 + North-European + Orcadian

Dodecad K7b 4-Ancestors Oracle
Using 1 population approximation:
1 English @ 1.219
2 British @ 1.424
3 Kent @ 1.484
4 British_Isles @ 1.542
5 Irish @ 1.598
6 CEU30 @ 1.963
7 Orcadian @ 2.169
8 Cornwall @ 2.323
9 Orkney @ 2.649
10 Argyll @ 2.762

Using 2 populations approximation:
1 50% English +50% Irish @ 0.875
2 50% Irish +50% Kent @ 0.960
3 50% British_Isles +50% English @ 1.011
4 50% British +50% English @ 1.011
5 50% British_Isles +50% Kent @ 1.013
6 50% British +50% Kent @ 1.041
7 50% English +50% Orcadian @ 1.073
8 50% Cornwall +50% Orkney @ 1.089
9 50% Kent +50% Orkney @ 1.100
10 50% Kent +50% Orcadian @ 1.106

Using 3 populations approximation:
1 50% English +25% English +25% Orkney @ 0.774
2 50% English +25% Kent +25% Orkney @ 0.800
3 50% Kent +25% English +25% Orkney @ 0.852
4 50% English +25% Irish +25% Irish @ 0.875
5 50% Irish +25% English +25% English @ 0.875
6 50% English +25% English +25% Irish @ 0.901
7 50% Irish +25% English +25% Kent @ 0.906
8 50% English +25% English +25% Orcadian @ 0.913
9 50% English +25% British +25% Irish @ 0.917
10 50% English +25% British_Isles +25% Irish @ 0.922

Using 4 populations approximation:
1 English + English + English + Orkney @ 0.774
2 English + English + Kent + Orkney @ 0.800
3 English + Kent + Kent + Orkney @ 0.852
4 English + English + Irish + Irish @ 0.875
5 English + English + English + Irish @ 0.901
6 English + Irish + Irish + Kent @ 0.906
7 English + English + English + Orcadian @ 0.913
8 British + English + English + Irish @ 0.917
9 British_Isles + English + English + Irish @ 0.922
10 Kent + Kent + Kent + Orkney @ 0.925

Dodecad World9-Ancestors Oracle
Using 1 population approximation:
1 British_Isles @ 1.410
2 Kent @ 1.762
3 British @ 1.938
4 Cornwall @ 2.045
5 Irish @ 2.134
6 Orcadian @ 2.182
7 Orkney @ 2.250
8 CEU30 @ 2.655
9 Argyll @ 2.954
10 German @ 3.122

Using 2 populations approximation:
1 50% Orkney +50% Kent @ 1.301
2 50% Orkney +50% Cornwall @ 1.372
3 50% Orcadian +50% Kent @ 1.401
4 50% Irish +50% Kent @ 1.404
5 50% British_Isles +50% British_Isles @ 1.410
6 50% British_Isles +50% Kent @ 1.438
7 50% Irish +50% Cornwall @ 1.452
8 50% Orcadian +50% Cornwall @ 1.480
9 50% Irish +50% British_Isles @ 1.536
10 50% British +50% Orkney @ 1.545

Using 3 populations approximation:
1 50% Kent +25% British_Isles +25% Orkney @ 1.288
2 50% Orkney +25% Kent +25% Kent @ 1.301
3 50% Kent +25% Orkney +25% Orkney @ 1.301
4 50% British_Isles +25% Irish +25% Kent @ 1.323
5 50% British_Isles +25% Orkney +25% Kent @ 1.324
6 50% Kent +25% Irish +25% Orkney @ 1.326
7 50% Orkney +25% Kent +25% Cornwall @ 1.331
8 50% Kent +25% Irish +25% British_Isles @ 1.338
9 50% Kent +25% Orcadian +25% Orkney @ 1.340
10 50% Kent +25% Orkney +25% Kent @ 1.342

Using 4 populations approximation:
1 British_Isles + Orkney + Kent + Kent @ 1.288
2 Orkney + Orkney + Kent + Kent @ 1.301
3 Irish + British_Isles + British_Isles + Kent @ 1.323
4 British_Isles + British_Isles + Orkney + Kent @ 1.324
5 Irish + Orkney + Kent + Kent @ 1.326
6 Orkney + Orkney + Kent + Cornwall @ 1.331
7 Irish + British_Isles + Kent + Kent @ 1.338
8 Orcadian + Orkney + Kent + Kent @ 1.340
9 British_Isles + Orkney + Kent + Cornwall @ 1.342
10 Orkney + Kent + Kent + Kent @ 1.342

All of mine can be found here and here.

Quote:

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Originally Posted by plastictuga

All of mine can be found here and here.

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What would you say are your most accurate results, you think?

I think the higher resolution ones might be more accurate for my family because they split northern Europe up a bit. So instead of going in one line (basically north-south) as is the case in K7b and World9 it actually gives another dimension within northern Europe. That is useful because it means that if i have less 'Atlantic Baltic' (which i do) then i don't end up as British Isles + southern European/Near eastern, but i end up with a much more precise location for that extra ancestry.

So instead of having a general 'southern pull', i can actually see roughly where that pull should come from, so it's a lot less vague. That east-west split in northern Europe is also useful because it kind of stops northern Europe being so linear (especially when Caucasus and Gedrosia are combined) and allows it to sort of spread out sideways.

But anyway i'm off to bed. I think in my order of most to least consistent/accurate/reliable (top 5) it is, because splitting Europe east/west adds that finer detail, even though it is explaining a bit less variation than just a north-south split (the genetic divide is apparently larger between northern and southern Europe than between Eastern and western?):

EUtest
Jtest
K12b
K7b
Harappaworld