MDLP K23B
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MDLP K23B
PuntDNAL K13, the bst for me, very acurate and gives me one @0.9 which is very correct for what I know of myself;
I vote for MDLP K23b
They should create similarity maps with this calculator, just like they have for the K36 one
I also vote for MDLP k23b. I hate Eurogenes in general.
I have found MDLP to be better for people who are mixed between many different ethnic backgrounds to be most accurate also puntdnal works well
I think all of them are awesome, but I think the Eurogenes Hunter Gatherer Versus Farmer one is the neatest :thumb001:. I do have to say though that I also really liked the DNA Tribes SNP Analysis regional breakdowns.
For me personally from best to worst:
Gedrosia, Dodecad, MDLP, PuntDNAL, HarappaWorld, Eurogenes.
But if i had to pick 3 specific calculators it would be Eurasia K9 ASI, Dodecad Africa9, and MDLP World-22, mainly Gedrosia is most accurate for me anyhow because it calculates my percentages veryyy accurately, i have 21% known West African, roughly 25-26% Broadly african if you include my North or East african. It also shows me good percentages for my European that correlate with my personal research and calculations, and for the most part my Native american and Middle eastern percentages are also very accurate on Gedrosia.
If i also had to pick another test it would actually be EthioHelix K10 + French because it divides my african very well.
Eurogenes just usually gives me very low percentages on my Middle eastern, overestimates my Mediterranean ancestry which should mean that it thinks most of my MENA is Mediterranean. My known Mediterranean/Hispanic/French ancestry shouldn't be any higher than 3-6% MAX.
I agree with you haha, Eurogenes sucks at guessing my ethnicities ESPECIALLY in the oracles and percentages. For example as you can see i have around 14-22% definite middle eastern ancestry, look at what the K13 test does to me.
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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.
K13 Oracle ref data revised 21 Nov 2013
Admix Results (sorted):
# Population Percent
1 North_Atlantic 36.91
2 Sub-Saharan 24.56
3 Baltic 17.91
4 West_Med 5.56
5 East_Med 4.28
6 Red_Sea 3.55
7 Amerindian 1.99
8 East_Asian 1.58
9 South_Asian 1.40
10 West_Asian 1.23
Finished reading population data. 204 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 West_German @ 28.259190
2 South_Dutch @ 28.633154
3 North_German @ 29.317526
4 French @ 29.674717
5 Austrian @ 29.837809
6 Danish @ 30.107670
7 Southeast_English @ 30.237770
8 North_Dutch @ 30.339176
9 East_German @ 30.378429
10 Orcadian @ 30.456604
11 Swedish @ 30.623066
12 Hungarian @ 30.932800
13 Southwest_English @ 30.994549
14 Irish @ 31.023943
15 West_Scottish @ 31.218449
16 Norwegian @ 31.218840
17 North_Swedish @ 32.172626
18 Spanish_Galicia @ 32.790688
19 Portuguese @ 32.975872
20 Serbian @ 33.082039
Using 2 populations approximation:
1 50% Bantu_N.E. +50% Norwegian @ 20.773352
Using 3 populations approximation:
1 50% Danish +25% Southeast_English +25% Yoruban @ 6.055470
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++
1 Danish + Danish + Southeast_English + Yoruban @ 6.055470
2 Danish + Danish + Southeast_English + Yoruban @ 6.055470
3 Danish + Danish + Danish + Yoruban @ 6.081134
4 Danish + Danish + Danish + Yoruban @ 6.081134
5 Danish + North_German + Southeast_English + Yoruban @ 6.108428
6 Danish + North_German + Southeast_English + Yoruban @ 6.108428
7 Danish + Danish + North_Dutch + Yoruban @ 6.125859
8 Danish + Danish + North_Dutch + Yoruban @ 6.125859
9 Danish + North_Dutch + Southeast_English + Yoruban @ 6.132771
10 Danish + North_Dutch + Southeast_English + Yoruban @ 6.132771
11 Danish + Danish + Orcadian + Yoruban @ 6.155766
12 Danish + Danish + Orcadian + Yoruban @ 6.155766
13 North_Dutch + North_German + Southeast_English + Yoruban @ 6.177406
14 North_Dutch + North_German + Southeast_English + Yoruban @ 6.177406
15 Danish + Danish + North_German + Yoruban @ 6.178460
16 Danish + Danish + North_German + Yoruban @ 6.178460
17 Danish + North_German + Orcadian + Yoruban @ 6.180493
18 Danish + North_German + Orcadian + Yoruban @ 6.180493
19 Danish + North_German + West_Scottish + Yoruban @ 6.180878
20 Danish + North_German + West_Scottish + Yoruban @ 6.180878
Done.
^ look at the oracle distances, it makes me wanna cry XD also if i have scandinavian it isn't any more than 1-2% so this is inaccurate for me obviously
Eurogenes K13 & K36.
If they ever produce one which works consistently for everbody then that will be my favourite.
Eurogenes K13 and Eurogenes EUtest V2 K15
Eurogenes K13 and K15.
MDLP K16, MDLP K23b, PuntDNAL K15, Eurogenes K13.
Eurogenes K15 and K13. They also yield similar results (for me) to the newer Global 25 which just further reinforces their quality, despite being aged
The new calculators made by Mlucasz and Davidski and especially based in nMonte system.
Properly calculators of Gedmatch are in general ambiguous and a little obsolete at least the racial part.
The most specifical side of these calculators (region/country) seems quite accurate though.
I like k15 mostly.
Where is Eurogenes K36 ?
mdlp k23b and k16 at the moment
PuntDNAL K15, MDLP K16, Eurogenes K13
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.
Eurogenes K13 and K15
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
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.
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.
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!
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
I find Eurogenes to be mentally retarded Polack science as K13 has me as Irish and K15 as SouthWest English. Gedmatch, in general, I do not trust.
MDLP utilities gave me something different in each app on Gedmatch, but the top results were all in my recent family tree, so if they changed position in proximity between Living DNA and Ancestry DNA, it was reasonable to see only older generations. It came down to combining English @ Eurogenes, Mixed Germanic @ Dodecad, Utahn White @ HarrapaWorld and German @ puntDNAL, which seems entirely consistent with the different results per MDLP app, as well as an Anglo-Frisian American profile. Whichever ones were irrelevant, like Ethiohelix and Gedrosia, were good for racial hygiene and that's fine if they don't match contemporary ethnicity. I wonder if you need to gain a better perspective on the results, by comparing shifted places between English and Irish. It's not like Gedmatch and Your DNA Portal got it wrong--au contraire, they're more to the point than both Ancestry and Living DNA. I got Living DNA for British Isles regions and haplogroups, but while they got them right, got my Continental European ancestry wrong. I got Ancestry DNA for family matching and American communities mapping, but they failed to adequately show where I fit in this and ignored most parts of my family roots:
https://blogs.ancestry.com/cm/files/...gration1_c.jpg
I did ask a question why, since it is a very time-consuming activity.
Mine are K13 K15 K9b K36 World9 and puntDNAL K13.
K15 and World9 the best to me handsdown
I don't think I can really pick. It seems like that all provide perspective, most completely in complementary fashion. Therefore, combined, I think I understand the best that way.
G25.