Oracle-4 on Gedmatch

1: hu

2: at + ro

3: hu + lit + ro

4. at + ua + ro + ro

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.

Quote:

---

Originally Posted by Loki

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.

Quote:

---

Originally Posted by Scarlet Ibis

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.

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.

Quote:

---

Originally Posted by Scarlet Ibis

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? :confused:

Quote:

---

Originally Posted by Loki

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

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

---

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

Quote:

---

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)

---

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

Quote:

---

Originally Posted by Loki

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

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

---

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.

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

HarappaWorld
Dodecad K12b
JTest Eurogenes