Oracle-4 on Gedmatch

[Nurzat]

1: hu

2: at + ro

3: hu + lit + ro

4. at + ua + ro + ro

[Pallantides]

HarappaWorld

Using 1 population approximation:
1 utahn-white @ 8.269
2 n-european @ 8.410
3 orcadian @ 9.206
4 utahn-white @ 10.702
5 british @ 10.885
6 ukranian @ 13.881
7 belorussian @ 14.451
8 slovenian @ 15.618
9 hungarian @ 16.282
10 mordovian @ 17.136
350 iterations.



Using 2 populations approximation:
1 50% british +50% lithuanian @ 3.428
2 50% belorussian +50% orcadian @ 3.841
3 50% lithuanian +50% utahn-white @ 4.142
4 50% lithuanian +50% orcadian @ 4.250
5 50% belorussian +50% british @ 4.795
6 50% lithuanian +50% utahn-white @ 5.174
7 50% french +50% lithuanian @ 5.297
8 50% orcadian +50% ukranian @ 5.702
9 50% orcadian +50% russian @ 5.770
10 50% belorussian +50% utahn-white @ 5.889
61425 iterations.



Using 3 populations approximation:
1 50% british +25% finnish +25% orcadian @ 2.218
2 50% orcadian +25% lithuanian +25% n-european @ 2.276
3 50% orcadian +25% british +25% finnish @ 2.340
4 50% orcadian +25% lithuanian +25% utahn-white @ 2.383
5 50% british +25% british +25% finnish @ 2.395
6 50% orcadian +25% finnish +25% utahn-white @ 2.404
7 50% utahn-white +25% lithuanian +25% orcadian @ 2.410
8 50% orcadian +25% finnish +25% utahn-white @ 2.673
9 50% british +25% finnish +25% utahn-white @ 2.675
10 50% british +25% finnish +25% utahn-white @ 2.676
1920616 iterations.



Using 4 populations approximation:
1 british + british + finnish + orcadian @ 2.218
2 lithuanian + n-european + orcadian + orcadian @ 2.276
3 british + finnish + orcadian + orcadian @ 2.340
4 lithuanian + orcadian + orcadian + utahn-white @ 2.383
5 british + british + british + finnish @ 2.395
6 finnish + orcadian + orcadian + utahn-white @ 2.404
7 british + finnish + orcadian + utahn-white @ 2.405
8 lithuanian + orcadian + utahn-white + utahn-white @ 2.410
9 british + finnish + orcadian + utahn-white @ 2.543
10 lithuanian + n-european + orcadian + utahn-white @ 2.544
11 finnish + orcadian + orcadian + utahn-white @ 2.673
12 british + british + finnish + utahn-white @ 2.675
13 british + british + finnish + utahn-white @ 2.676
14 finnish + orcadian + utahn-white + utahn-white @ 2.698
15 finnish + orcadian + orcadian + orcadian @ 2.721
16 lithuanian + n-european + n-european + orcadian @ 2.779
17 finnish + orcadian + utahn-white + utahn-white @ 2.840
18 british + lithuanian + n-european + orcadian @ 2.850
19 british + lithuanian + orcadian + utahn-white @ 2.862
20 lithuanian + orcadian + orcadian + orcadian @ 2.880

35160897 iterations.

[Scarlet Ibis]

Got it! I had already uploaded my kit, so the results were easy

Using 1 population approximation:
1 Serbian @ 6.119
2 German-South @ 6.160
3 Montenegrin @ 7.485
4 German_V @ 7.929
5 Austrian @ 8.325
6 Macedonian @ 8.497
7 CEU @ 8.798
8 CEU_V @ 9.366
9 Hungarian @ 9.492
10 British @ 9.545
276 iterations.



Using 2 populations approximation:
1 50% Bulgarian +50% Norwegian_V @ 2.550
2 50% Gagauz +50% Norwegian_V @ 2.953
3 50% Macedonian +50% Norwegian_V @ 3.098
4 50% CEU +50% Macedonian @ 3.262
5 50% German +50% Swiss @ 3.315
6 50% Bulgarian +50% Welsh @ 3.396
7 50% Norwegian_V +50% Romania @ 3.406
8 50% Bulgarian +50% CEU @ 3.422
9 50% German +50% Italian_North @ 3.496
10 50% Romania +50% Swedish @ 3.548
38226 iterations.



Using 3 populations approximation:
1 50% German_V +25% Greek_South +25% Norwegian_V @ 2.479
2 50% German_V +25% Greek_North +25% Norwegian_V @ 2.484
3 50% Austrian +25% Greek_North +25% Norwegian_V @ 2.500
4 50% German +25% Greek_Center +25% Orcadian @ 2.518
5 50% Norwegian_V +25% Gagauz +25% Macedonian @ 2.527
6 50% British +25% Italian-South +25% Mordovian @ 2.532
7 50% Norwegian_V +25% Gagauz +25% Montenegrin @ 2.545
8 50% Norwegian_V +25% Croatian +25% Greek_North @ 2.548
9 50% Bulgarian +25% Norwegian_V +25% Norwegian_V @ 2.550
10 50% Norwegian_V +25% Bulgarian +25% Bulgarian @ 2.550
1813656 iterations.



Using 4 populations approximation:
1 Gagauz + German + Norwegian_V + Swiss @ 2.259
2 Greek_North + Hungarian + Norwegian_V + Welsh @ 2.396
3 Austrian + German + Greek_Center + Norwegian_V @ 2.411
4 Austrian + CEU_V + Greek_North + Norwegian_V @ 2.420
5 CEU_V + German + Greek_Center + Norwegian_V @ 2.432
6 Austrian + German_V + Greek_North + Norwegian_V @ 2.437
7 Austrian + German-North + Greek_Center + Norwegian_V @ 2.443
8 German + German-North + Greek_East + Orcadian @ 2.459
9 German + German_V + Greek_Center + Norwegian_V @ 2.459
10 CEU_V + German_V + Greek_North + Norwegian_V @ 2.470
11 CEU + Greek_East + Norwegian_V + Slovakian @ 2.473
12 Austrian + German-North + Greek_East + Norwegian_V @ 2.477
13 German-North + German_V + Greek_Center + Norwegian_V @ 2.478
14 German_V + German_V + Greek_South + Norwegian_V @ 2.479
15 German_V + German_V + Greek_North + Norwegian_V @ 2.484
16 CEU + Greek_Center + Hungarian + Swedish_V @ 2.487
17 CEU_V + German + Greek_North + Orcadian @ 2.487
18 CEU + German + Greek_North + Welsh @ 2.488
19 German + German_V + Greek_North + Orcadian @ 2.489
20 Austrian + German_V + Greek_South + Norwegian_V @ 2.497

Which calculator was this? It doesn't seem accurate at all.... Serbian and Montenegrin in the top 3? Problematic.

[Jackson]

Which calculator was this? It doesn't seem accurate at all.... Serbian and Montenegrin in the top 3? Problematic.

MDLP, it suffers from what Polako/David/Eurogenes calls 'the calculator effect', which is a shame because i think a working oracle for it would be really good.

[Scarlet Ibis]

Everything for me and my mom is pretty much the same. The only real difference is that now, the EUTest says NO is my dad's top match.

Using 1 population approximation:
1 NO @ 4.451
2 DK @ 4.521
3 Orcadian @ 4.878
4 South_&_Central_Swedish @ 5.518
5 NL @ 5.670
6 IE @ 5.768
7 English @ 5.949
8 Cornish @ 6.504
9 Scottish @ 7.075
10 West_&_Central_German @ 7.329
78 iterations.



Using 2 populations approximation:
1 50% NO +50% Orcadian @ 2.694
2 50% IE +50% South_&_Central_Swedish @ 2.706
3 50% IE +50% NO @ 2.747
4 50% Cornish +50% NO @ 2.814
5 50% Cornish +50% South_&_Central_Swedish @ 2.861
6 50% Orcadian +50% South_&_Central_Swedish @ 2.867
7 50% Scottish +50% South_&_Central_Swedish @ 3.293
8 50% NO +50% Scottish @ 3.302
9 50% English +50% NO @ 3.549
10 50% DK +50% Orcadian @ 3.566
3081 iterations.






His Jtest results are still roughly the same.

Using 1 population approximation:
1 DK @ 3.874
2 NL @ 4.628
3 NO @ 4.640
4 Orcadian @ 4.692
5 English @ 4.927
6 South_&_Central_Swedish @ 5.683
7 Cornish @ 5.771
8 IE @ 6.040
9 West_&_Central_German @ 6.347
10 Scottish @ 7.000
78 iterations.



Using 2 populations approximation:
1 50% Cornish +50% NO @ 2.204
2 50% Cornish +50% South_&_Central_Swedish @ 2.269
3 50% NO +50% Orcadian @ 2.703
4 50% Orcadian +50% South_&_Central_Swedish @ 2.901
5 50% English +50% NO @ 2.978
6 50% DK +50% Orcadian @ 3.004
7 50% IE +50% NO @ 3.129
8 50% IE +50% South_&_Central_Swedish @ 3.141
9 50% English +50% South_&_Central_Swedish @ 3.175
10 50% NL +50% NO @ 3.205
3081 iterations.


Results for me and mom are here, along with dad's old results



I only ran the Eurogenes calculators for us, as they seem to be the best. I'll run results through the other calculators when I get bored.

[Loki]

Which calculator was this? It doesn't seem accurate at all.... Serbian and Montenegrin in the top 3? Problematic.

Admixture proportions analysis > MDLP Project > Admixture Proportions (with link to Oracle)

Which one should I use, as per your first post?

[Jackson]

Admixture proportions analysis > MDLP Project > Admixture Proportions (with link to Oracle)

Which one should I use, as per your first post?

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

[Loki]

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

Cool I will!

First, I've done HarappaWorld:

# Population Percent
1 NE-Euro 43.90
2 Mediterranean 30.25
3 Caucasian 11.95
4 Baloch 9.00
5 SW-Asian 2.11
6 W-African 1.78
7 SE-Asian 1.01

Using 1 population approximation:
1 romany @ 7.071
2 french @ 7.115
3 hungarian @ 8.794
4 utahn-white @ 10.177
5 n-european @ 10.503
6 slovenian @ 11.002
7 utahn-white @ 11.436
8 british @ 12.039
9 serbian @ 14.556
10 orcadian @ 14.898
350 iterations.



Using 2 populations approximation:
1 50% french +50% hungarian @ 2.908
2 50% french +50% slovenian @ 3.694
3 50% spaniard +50% ukranian @ 3.729
4 50% orcadian +50% romanian @ 3.755
5 50% spaniard +50% ukranian @ 4.027
6 50% british +50% romanian @ 4.194
7 50% bulgarian +50% orcadian @ 4.411
8 50% british +50% serbian @ 4.442
9 50% french +50% romany @ 4.829
10 50% serbian +50% utahn-white @ 4.992
61425 iterations.



Using 3 populations approximation:
1 50% orcadian +25% italian +25% serbian @ 2.221
2 50% british +25% slovenian +25% tuscan @ 2.300
3 50% british +25% slovenian +25% tuscan @ 2.309
4 50% orcadian +25% hungarian +25% tuscan @ 2.334
5 50% french +25% n-european +25% serbian @ 2.342
6 50% british +25% slovenian +25% tuscan @ 2.348
7 50% british +25% hungarian +25% tuscan @ 2.364
8 50% british +25% hungarian +25% tuscan @ 2.373
9 50% orcadian +25% hungarian +25% tuscan @ 2.374
10 50% british +25% hungarian +25% tuscan @ 2.389
1509242 iterations.



Using 4 populations approximation:
1 british + hungarian + orcadian + tuscan @ 2.212
2 british + hungarian + orcadian + tuscan @ 2.220
3 italian + orcadian + orcadian + serbian @ 2.221
4 hungarian + orcadian + tuscan + utahn-white @ 2.226
5 hungarian + orcadian + tuscan + utahn-white @ 2.244
6 british + hungarian + orcadian + tuscan @ 2.246
7 hungarian + orcadian + serbian + spaniard @ 2.250
8 hungarian + orcadian + tuscan + utahn-white @ 2.281
9 british + orcadian + slovenian + tuscan @ 2.282
10 british + orcadian + slovenian + tuscan @ 2.288
11 british + orcadian + slovenian + tuscan @ 2.290
12 british + british + slovenian + tuscan @ 2.300
13 hungarian + orcadian + serbian + spaniard @ 2.305
14 orcadian + serbian + slovenian + spaniard @ 2.308
15 italian + orcadian + serbian + utahn-white @ 2.309
16 orcadian + slovenian + tuscan + utahn-white @ 2.309
17 british + british + slovenian + tuscan @ 2.309
18 hungarian + orcadian + tuscan + utahn-white @ 2.312
19 orcadian + serbian + slovenian + spaniard @ 2.317
20 hungarian + orcadian + orcadian + tuscan @ 2.334

[Scarlet Ibis]

Admixture proportions analysis > MDLP Project > Admixture Proportions (with link to Oracle)

Which one should I use, as per your first post?

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.

[Graham]

My top three Oracle 4. From all the tests I've done. They correspond with one another.

HarappaWorld
Dodecad K12b
JTest Eurogenes