What is your favorite genetic admixture calculator?

[HeliFr33k]

I think I like FamilyTree and EUtest from GEDMatch the most, and maybe 1 more test from there. I feel like they represent me the best, MyHeritage has weird percentages and regional calculators that don't make any sense.

[Daco Celtic]

Eurogenes K13 and K15

[Nordarya]

As for Gedmatch apps, my favourite and most accurate is MDLP K23b, although I know Eurogenes K13 is very popular. I've noticed that there is a difference in single populations between Oracle (more accurate) and Oracle+4 (a little off). I don't bother with pie chart and percentages, because distance plotting reveals my nearest ethnicities within 20 spaces and in this case, matches my family tree.


MDLP K23b Oracle


The only app matching my family tree. First seven places are more or less the same.


Living DNA


Single Population Sharing:


# Population (source) Distance
1 English_Kent_GBR ( ) 2.85
2 Frisian ( ) 3.37
3 Belgian ( ) 3.49
4 Irish ( ) 3.58
5 English ( ) 3.71
6 English_Cornwall_GBR ( ) 4
7 North_European ( ) 4.75
8 CEU ( ) 5.29
9 Welsh ( ) 5.31
10 British ( ) 5.39
11 French ( ) 6.93
12 Dutch ( ) 7.12
13 Norwegian_East ( ) 7.38
14 South_German ( ) 7.78
15 Norwegian_West ( ) 8.07
16 Scottish_Argyll_Bute_GBR ( ) 8.71
17 Swede ( ) 8.75
18 German-Volga ( ) 8.96
19 North_German ( ) 9.02
20 Dane ( ) 9.24


Ancestry DNA


Single Population Sharing:


# Population (source) Distance
1 Frisian ( ) 2.6
2 Belgian ( ) 3.31
3 Irish ( ) 3.5
4 English ( ) 4.38
5 English_Kent_GBR ( ) 4.49
6 English_Cornwall_GBR ( ) 5.52
7 North_European ( ) 5.77
8 Dutch ( ) 6.37
9 CEU ( ) 6.74
10 South_German ( ) 6.79
11 Welsh ( ) 6.83
12 British ( ) 6.89
13 German-Volga ( ) 7.82
14 Norwegian_East ( ) 7.86
15 French ( ) 8.26
16 North_German ( ) 8.36
17 Swede ( ) 8.86
18 Dane ( ) 9.05
19 Norwegian_West ( ) 9.19
20 Scottish_Argyll_Bute_GBR ( ) 9.95



K13 is consistent except for the flip between fourth and fifth groups. K15 is only good for the first two groups. I don't know why anyone thinks it's better to have their top proximity single population at 3.0 or further off, when K23b gives about 2.75. MDLP doesn't waste my time with ancestry before the 15th century. Furthermore, what's the point of Oracle+4, in chasing crazy admix configurations between two, three, or four populations that don't fit?


K13


Living DNA


Single Population Sharing:


# Population (source) Distance
1 Southeast_English 3.09
2 South_Dutch 4.44
3 Southwest_English 5.15
4 Orcadian 5.3
5 West_German 5.66
6 North_Dutch 6.17
7 Danish 6.35
8 Irish 6.58
9 West_Scottish 6.64
10 North_German 6.83
11 Norwegian 8.51
12 French 9.19
13 Swedish 10.02
14 Austrian 12.13
15 East_German 12.95
16 North_Swedish 15.15
17 Spanish_Cataluna 16.24
18 Hungarian 16.67
19 Spanish_Castilla_Y_Leon 17.41
20 Spanish_Galicia 17.67


Ancestry DNA


Single Population Sharing:


# Population (source) Distance
1 Southeast_English 3.23
2 South_Dutch 4.07
3 Southwest_English 5.17
4 West_German 5.24
5 Orcadian 5.52
6 North_Dutch 6.36
7 Danish 6.6
8 Irish 6.71
9 West_Scottish 6.81
10 North_German 6.93
11 Norwegian 8.78
12 French 8.79
13 Swedish 10.29
14 Austrian 12.03
15 East_German 12.96
16 North_Swedish 15.43
17 Spanish_Cataluna 15.88
18 Hungarian 16.58
19 Spanish_Castilla_Y_Leon 17.05
20 Spanish_Galicia 17.36


K15


Living DNA


Single Population Sharing:


# Population (source) Distance
1 Southwest_English 3.1
2 Southeast_English 3.99
3 South_Dutch 5.33
4 Danish 5.73
5 North_Dutch 5.82
6 West_Scottish 5.92
7 Irish 5.93
8 Orcadian 6.31
9 West_German 6.37
10 North_German 6.75
11 Norwegian 8.1
12 French 8.88
13 West_Norwegian 9.06
14 Swedish 9.69
15 North_Swedish 11.74
16 East_German 12.16
17 Southwest_Finnish 16.11
18 Austrian 16.21
19 Spanish_Galicia 16.34
20 Spanish_Cataluna 16.43


Ancestry DNA


Single Population Sharing:


# Population (source) Distance
1 Southwest_English 3.29
2 Southeast_English 4.34
3 North_Dutch 5.75
4 Orcadian 5.86
5 Danish 5.91
6 South_Dutch 5.99
7 West_German 6.05
8 West_Scottish 6.09
9 Irish 6.24
10 North_German 7.19
11 Norwegian 7.83
12 West_Norwegian 8.57
13 French 9.23
14 Swedish 9.54
15 North_Swedish 11.83
16 East_German 12.73
17 Spanish_Galicia 16.69
18 Southwest_Finnish 16.69
19 Austrian 16.96
20 Spanish_Cataluna 16.98

For K15, it seems that the first five approximations are more or less the same.


Living DNA


Single Population Sharing:


# Population (source) Distance
1 French (France) 3.12
2 English (Kent) 3.77
3 French (WestFrance) 3.83
4 Scottish (Grampian) 4.08
5 Irish (Connacht) 4.2
6 English (Cornwall) 4.37
7 English (England) 4.49
8 Irish (Cork_Kerry) 4.5
9 Scottish (Highlands) 4.52
10 Irish (Leinster) 4.53
11 Irish (Ulster) 4.75
12 Scottish (Fife) 4.79
13 German (Germany) 4.88
14 Scottish (Dumfries_Galloway) 4.89
15 Shetlandic (Shetland_Islands) 5.14
16 Irish (Munster) 5.2
17 Scottish (Borders) 5.23
18 French (NorthwestFrance) 5.65
19 French (EastFrance) 6.06
20 Welsh (Wales) 6.3


Ancestry DNA


Single Population Sharing:


# Population (source) Distance
1 French (WestFrance) 3.19
2 Scottish (Grampian) 3.4
3 English (Kent) 3.43
4 French (France) 3.5
5 Irish (Connacht) 3.58
6 English (England) 3.68
7 Scottish (Highlands) 3.83
8 Irish (Leinster) 3.83
9 Irish (Cork_Kerry) 3.83
10 English (Cornwall) 3.87
11 Scottish (Fife) 3.99
12 Irish (Ulster) 4.06
13 Scottish (Dumfries_Galloway) 4.12
14 Shetlandic (Shetland_Islands) 4.38
15 Irish (Munster) 4.43
16 Scottish (Borders) 4.53
17 German (Germany) 4.65
18 French (NorthwestFrance) 5.35
19 Welsh (Wales) 5.73
20 French (EastFrance) 5.8

Top Oracle results for LDNA per app [Brackets where ADNA is different]:


MDLP K11 Modern: British_Celtic @ 4.159802 (Oracle+4)
MDLP K16 Modern: French (France) 3.12 [ADNA: French (WestFrance)]
MDLP K23b: English_Kent_GBR ( ) 2.85 [ADNA: Frisian]
MDLP World-22: CEU (derived) 4.57 [ADNA: German-South (derived)]
MDLP World: Austrian 2.5


Eurogenes K13: Southeast_English 3.09
Eurogenes EUtest V2 K15: Southwest_English 3.1
Jtest: English 3.74
EUtest: English 3.65


Dodecad V3: CEU (HapMap) 2.89
Africa9: North_Italian 4.86
World9: Mixed_Germanic 2.79
Dodecad K7b: Mixed_Germanic 3.33
Dodecad K12b: Mixed_Germanic (Dodecad) 4.42


HarappaWorld: utahn-white (1000genomes) 4.43 [ADNA: french]


EthioHelix K10 + French: french 25.24
EthioHelix K10 + Japanese: egypt 6.33
EthioHelix K10 + Palestinian: morocco-n 6.81
EthioHelix K10 Africa Only: algeria 8.46


puntDNAL K10 Ancient: German_South 2.8 [ADNA: Croatian]
puntDNAL K12 Ancient: Alberstedt_LN_I0118 5.7
puntDNAL K12 Modern: German_South 2.22 [ADNA: Belgian]
puntDNAL K13 Global: German_South 3.72
puntDNAL K15: Utahn_White 2.94
puntDNAL K8 African only: Egyptian 4.31


Gedrosia K3: French @ 0.000000 (Oracle+4) [ADNA: Albanian]
Gedrosia K12: Norwegian 16.82
Ancient Eurasia K6: Hungarian 1.81

[Leto]

I don't bother with pie chart and percentages, because distance plotting reveals my nearest ethnicities within 20 spaces and in this case, matches my family tree.

Please share your admixture proportions from Eurogenes K13, K15 and Dodecad K12b. I'd like to take a look.

[Nordarya]

Please share your admixture proportions from Eurogenes K13, K15 and Dodecad K12b. I'd like to take a look.

I deleted my data twice. I'm sorry, but I only saved the single population distances, which mostly approximate my family tree. For instance, MDLP K23b shows the four closest ethnic groups in recent generations found in my family tree: English, Frisian (Dutch New York), Belgian (French Québec) and Irish. My Austro-Bavarian ancestry is further back, but tops other calculators. I don't put much stock in percentages and pie charts. I don't even do combination of multiple populations, when the top single approximations already match known paperwork. I don't know why some people would rather get bogged down in speculation on the implications of minutia rather than see the forest for the trees. I know the reason why I don't have closer distances with any one of those single populations, is because of admix between them, hence the Mixed Germanic, Utahn White and CEU categories, typical of Americans.

[Leto]

I deleted my data twice. I'm sorry, but I only saved the single population distances, which mostly approximate my family tree. For instance, MDLP K23b shows the four closest ethnic groups in recent generations found in my family tree: English, Frisian (Dutch New York), Belgian (French Québec) and Irish. My Austro-Bavarian ancestry is further back, but tops other calculators. I don't put much stock in percentages and pie charts. I don't even do combination of multiple populations, when the top single approximations already match known paperwork. I don't know why some people would rather get bogged down in speculation on the implications of minutia rather than see the forest for the trees. I know the reason why I don't have closer distances with any one of those single populations, is because of admix between them, hence the Mixed Germanic, Utahn White and CEU categories, typical of Americans.

Alright, son. At least you are one of us, aR1ans

There are Gedmatch calcs on yourDNAportal.com by the way, if you don't want to keep your data on GM.

[Nordarya]

Alright, son. At least you are one of us, aR1ans

There are Gedmatch calcs on yourDNAportal.com by the way, if you don't want to keep your data on GM.

Yes, we can be Hippie Nazis and Nazi Hippies. Are they passing out Swastikas at this party? Where can I get one?

Your DNA Portal is nice and up to date. I did that one twice. Their models simplify the approximations, but aren't much better than Gedmatch for the reference populations used for percentages.

[Nordarya]

I just had a dyslexic moment, because I saw the title of this thread and thought: "gender admixture calculator", which doesn't seem too far-fetched a thing these days!

[Nordarya]

Alright, son. At least you are one of us, aR1ans

There are Gedmatch calcs on yourDNAportal.com by the way, if you don't want to keep your data on GM.

I dug this out of my files, from Your DNA Portal:

DNA: Living | Ancestry
K36: SZ3_Longobard 0.8102395 | SZ23_Longobard 0.6658806
EUtest: English 0.4429018 | English 0.3848558
K13: Southeast_English 0.3404314 | Southeast_English 0.3574268
EUtest V2 K15: Southwest_English 0.3915967 | Southwest_English 0.389361
Jtest K14: English 0.4540176 | English 0.3915214
K27: Welsh 0.5831449 | Welsh 0.6095064
K10: English 1.370716 | English 1.504824
K11: Germans 0.5567962 | Germans 0.5266973
Ancient Near East 13: French 0.7706179 | French 0.7229336

[Leto]

I dug this out of my files, from Your DNA Portal:

DNA: Living | Ancestry
K36: SZ3_Longobard 0.8102395 | SZ23_Longobard 0.6658806
EUtest: English 0.4429018 | English 0.3848558
K13: Southeast_English 0.3404314 | Southeast_English 0.3574268
EUtest V2 K15: Southwest_English 0.3915967 | Southwest_English 0.389361
Jtest K14: English 0.4540176 | English 0.3915214
K27: Welsh 0.5831449 | Welsh 0.6095064
K10: English 1.370716 | English 1.504824
K11: Germans 0.5567962 | Germans 0.5266973
Ancient Near East 13: French 0.7706179 | French 0.7229336

Post the components from K13 and K15.