Best Autosomal Genetics Test?

HiveMindTerror

HiveMindTerror

Regular Member
Messages
61
Reaction score
10
Points
0
Ethnic group
Bosnian-Croat
Y-DNA haplogroup
I-F3145
mtDNA haplogroup
H11A
What test would you consider the best for seeing your closest related modern populations? Eurogenes K15, K36? Something else?
 
I am also interested about the answer to this question.
 
In my particular case, Dodecad World 9 is the most accurate. The comparison of 4 populations seems a pretty good description of my four grandparents ...





Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 41.68
2 Southern 23.35
3 Amerindian 19.28
4 Caucasus_Gedrosia 11.48
5 African 3.26


Finished reading population data. 250 populations found.
9 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 CLM30 @ 11.172947
2 PUR30 @ 14.195469
3 Brazilian_Dodecad @ 19.843163
4 Colombian @ 20.009138
5 Puerto_Rican @ 21.044411
6 AthabaskHD4 @ 22.821800
7 O_Italian_Dodecad @ 23.415724
8 Tuscan_HGDP @ 23.451378
9 TSI30_Metspalu @ 23.594652
10 Romanians_Behar @ 24.093084
11 C_Italian_Dodecad @ 24.329020
12 Bulgarian_Dodecad @ 24.629778
13 Bulgarians_Yunusbayev @ 25.086760
14 N_Italian_Dodecad @ 25.354063
15 North_Italian_HGDP @ 25.389795
16 Canarias_1000 Genomes @ 26.145235
17 Greek_Dodecad @ 26.549267
18 Murcia_1000 Genomes @ 26.689846
19 Baleares_1000 Genomes @ 27.528421
20 Ashkenazy_Jews @ 27.565016

Using 2 populations approximation:
1 50% Tuscan_HGDP +50% Colombian @ 3.299624


Using 3 populations approximation:
1 50% TSI30_Metspalu +25% Ecuadorian +25% CLM30 @ 1.108061


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 C_Italian_Dodecad + N_Italian_Dodecad + Ecuadorian + CLM30 @ 0.752705
2 C_Italian_Dodecad + N_Italian_Dodecad + MEX30 + Colombian @ 0.917782
3 O_Italian_Dodecad + N_Italian_Dodecad + Ecuadorian + CLM30 @ 0.933595
4 O_Italian_Dodecad + N_Italian_Dodecad + MEX30 + Colombian @ 0.940335
5 O_Italian_Dodecad + North_Italian_HGDP + MEX30 + Colombian @ 0.952672
6 Bedouin_HGDP + Lithuanians + PEL30 + Cantabria_1000 Genomes @ 0.991689
7 Bedouin_HGDP + Lithuanians + PEL30 + Aragon_1000 Genomes @ 1.052471
8 O_Italian_Dodecad + North_Italian_HGDP + Ecuadorian + CLM30 @ 1.077681
9 Mixed_Germanic_Dodecad + French_Basque + Jordanians_Behar + PEL30 @ 1.100790
10 TSI30_Metspalu + TSI30_Metspalu + Ecuadorian + CLM30 @ 1.108061
11 Mixed_Germanic_Dodecad + Jordanians_Behar + PEL30 + Pais_Vasco_1000 Genomes @ 1.147959
12 Spanish_Dodecad + Bedouin_HGDP + Lithuanians + PEL30 @ 1.159750
13 Lithuanian_Dodecad + Bedouin_HGDP + PEL30 + Cantabria_1000 Genomes @ 1.165485
14 Bedouin_HGDP + Lithuanians + PEL30 + Valencia_1000 Genomes @ 1.171852
15 C_Italian_Dodecad + North_Italian_HGDP + MEX30 + Colombian @ 1.172048
16 C_Italian_Dodecad + North_Italian_HGDP + Ecuadorian + CLM30 @ 1.179401
17 Greek_Dodecad + Ecuadorian + CLM30 + Baleares_1000 Genomes @ 1.185854
18 French_Dodecad + Norwegian_Dodecad + Bedouin_HGDP + PEL30 @ 1.186951
19 Dutch_Dodecad + Palestinian_HGDP + PEL30 + Pais_Vasco_1000 Genomes @ 1.204313
20 Mixed_Germanic_Dodecad + French_Basque + Palestinian_HGDP + PEL30 @ 1.206128

Done.
 
World 9 Dodecad ........................unsure ,but interesting cornwall came up as number 1 mixed as I have a "cornish " match in yfull

Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]Atlantic_Baltic[/TD]
[TD="width: 50, align: right"]56.2[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Southern[/TD]
[TD="width: 50, align: right"]25.48[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasus_Gedrosia[/TD]
[TD="width: 50, align: right"]17.19[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]South_Asian[/TD]
[TD="width: 50, align: right"]0.74[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]African[/TD]
[TD="width: 50, align: right"]0.21[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]East_Asian[/TD]
[TD="width: 50, align: right"]0.18[/TD]

Single Population Sharing:

Population (source)

[TD="align: center"] # [/TD]

[TD="align: right"] Distance [/TD]

[TD="align: center"]1[/TD]
[TD="width: 220"]N_Italian (Dodecad)[/TD]
[TD="width: 50, align: right"]2.66[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]North_Italian (HGDP)[/TD]
[TD="width: 50, align: right"]4.3[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]Bulgarians (Yunusbayev)[/TD]
[TD="width: 50, align: right"]4.78[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]Bulgarian (Dodecad)[/TD]
[TD="width: 50, align: right"]5.51[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]Romanians (Behar)[/TD]
[TD="width: 50, align: right"]7.11[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]TSI30 (Metspalu)[/TD]
[TD="width: 50, align: right"]8.16[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]Baleares (1000 Genomes)[/TD]
[TD="width: 50, align: right"]8.22[/TD]

[TD="width: 40, align: center"][/TD]
[TD="width: 220"]Tuscan (HGDP) 8.99


Mixed Mode Population Sharing:
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @

[TD="align: center"] # [/TD]
[TD="width: 15"][/TD]
[TD="colspan: 3"] Primary Population (source) [/TD]
[TD="colspan: 3"] Secondary Population (source) [/TD]
[TD="align: right"] Distance [/TD]

[TD="width: 20, align: center"]1[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]61%[/TD]
[TD="width: 200"] C_Italian (Dodecad)[/TD]

[TD="width: 30, align: right"]39%[/TD]
[TD="width: 200"] Cornwall (1000 Genomes)[/TD]

[TD="width: 50, align: right"]0.51[/TD]

[TD="width: 20, align: center"]2[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]62.4%[/TD]
[TD="width: 200"] C_Italian (Dodecad)[/TD]

[TD="width: 30, align: right"]37.6%[/TD]
[TD="width: 200"] British_Isles (Dodecad)[/TD]

[TD="width: 50, align: right"]0.51[/TD]

[TD="width: 20, align: center"]3[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]73.1%[/TD]
[TD="width: 200"] French (HGDP)[/TD]

[TD="width: 30, align: right"]26.9%[/TD]
[TD="width: 200"] Cypriots (Behar)[/TD]

[TD="width: 50, align: right"]0.57[/TD]

[TD="width: 20, align: center"]4[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]73.3%[/TD]
[TD="width: 200"] Tuscan (HGDP)[/TD]

[TD="width: 30, align: right"]26.7%[/TD]
[TD="width: 200"] Argyll (1000 Genomes)[/TD]

[TD="width: 50, align: right"]0.59[/TD]

[TD="width: 20, align: center"]5[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]58.5%[/TD]
[TD="width: 200"] C_Italian (Dodecad)[/TD]

[TD="width: 30, align: right"]41.5%[/TD]
[TD="width: 200"] Mixed_Germanic (Dodecad)[/TD]

[TD="width: 50, align: right"]0.6[/TD]

[TD="width: 20, align: center"]6[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]70.3%[/TD]
[TD="width: 200"] Tuscan (HGDP)[/TD]

[TD="width: 30, align: right"]29.7%[/TD]
[TD="width: 200"] Dutch (Dodecad)[/TD]

[TD="width: 50, align: right"]0.61[/TD]

[TD="width: 20, align: center"]7[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]61.4%[/TD]
[TD="width: 200"] C_Italian (Dodecad)[/TD]

[TD="width: 30, align: right"]38.6%[/TD]
[TD="width: 200"] British (Dodecad)[/TD]

[TD="width: 50, align: right"]0.61[/TD]

[TD="width: 20, align: center"]8[/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"]61.2%[/TD]
[TD="width: 200"] C_Italian (Dodecad)[/TD]

[TD="width: 30, align: right"]38.8%[/TD]
[TD="width: 200"] Kent (1000 Genomes)[/TD]

[TD="width: 50, align: right"]0.62[/TD]
[/TD]
[TD="width: 50, align: right"]


[/TD]
 
K13/K15 Fill up to 10 characters.
 
Gedmatch.Com
Ancient Eurasia K6 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: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.


gedrosia K6 Oracle


Admix Results (sorted):


# Population Percent
1 Natufian 45.82
2 West_European_Hunter_Gartherer 29.72
3 Ancestral_North_Eurasian 20.40
4 East_Asian 2.26
5 Sub_Saharan 1.33




Finished reading population data. 136 populations found.
6 components mode.


--------------------------------


Least-squares method.


Using 1 population approximation:
1 Greek @ 3.113444
2 Sicilian @ 3.970449
3 Albanian @ 4.634143
4 Italian_South @ 5.065207
5 Jew_Ashkenazi @ 5.480591
6 Bulgarian @ 7.574255
7 Romanian @ 9.521929
8 Jew_Moroccan @ 9.543930
9 Armenia_ChL @ 10.590118
10 Jew_Libyan @ 11.291612
11 Jew_Tunisian @ 11.822817
12 Croatian @ 13.488173
13 Turkish @ 13.645724
14 Cypriot @ 14.592309
15 Spanish @ 14.767661
16 Kumyk @ 16.320807
17 Hungarian @ 16.338268
18 Adygei @ 16.546595
19 French @ 16.864491
20 Balkar @ 16.933371


Using 2 populations approximation:
1 50% Cypriot +50% Hungarian @ 1.952560




Using 3 populations approximation:
1 50% Albanian +25% Azeri +25% Spanish @ 0.875945




Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 Icelandic + Italian_South + Jew_Moroccan + Turkish @ 0.278049
2 Cypriot + Greek + Jew_Moroccan + Russian @ 0.460699
3 English + Italian_South + Jew_Ashkenazi + Turkish @ 0.518978
4 English + Greek + Jew_Moroccan + Turkish @ 0.536910
5 Druze + Finnish + Italian_South + Italian_South @ 0.541149
6 Czech + Italian_South + Jew_Ashkenazi + Turkish @ 0.545076
7 Balkar + Italian_South + Sicilian + Spanish @ 0.569882
8 Czech + Greek + Jew_Moroccan + Turkish @ 0.608728
9 Albanian + Hungarian + Jew_Moroccan + Turkish @ 0.616514
10 Hungarian + Italian_South + Sicilian + Turkish @ 0.625211
11 Cypriot + Italian_South + Jew_Ashkenazi + Russian @ 0.634670
12 Balkar + Sicilian + Sicilian + Spanish @ 0.635125
13 Albanian + Cypriot + Cypriot + Finnish @ 0.643140
14 Balkar + Greek + Italian_South + Spanish @ 0.671458
15 Albanian + Czech + Jew_Moroccan + Turkish @ 0.697680
16 Albanian + Romanian + Sicilian + Turkish @ 0.717067
17 Albanian + Azeri + Greek + Spanish @ 0.730626
18 Icelandic + Italian_South + Jew_Libyan + Turkish @ 0.736849
19 Druze + Italian_South + Russian + Sicilian @ 0.744471
20 Basque + Georgian + Levant_BA + Russian @ 0.746408
 
wow, actually seems very accurate!

[h=2]Ancient Eurasia K6 Oracle results:[/h]
Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]West_European_Hunter_Gartherer[/TD]
[TD="width: 50, align: right"]38.84[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Natufian[/TD]
[TD="width: 50, align: right"]36.71[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Ancestral_North_Eurasian[/TD]
[TD="width: 50, align: right"]20.84[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Ancestral_South_Eurasian[/TD]
[TD="width: 50, align: right"]2.14[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Sub_Saharan[/TD]
[TD="width: 50, align: right"]0.82[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]East_Asian[/TD]
[TD="width: 50, align: right"]0.65[/TD]

Single Population Sharing:

Population (source)

[TD="align: center"] # [/TD]

[TD="align: right"] Distance [/TD]

[TD="align: center"]1[/TD]
[TD="width: 220"]Croatian[/TD]
[TD="width: 50, align: right"]4.41[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]Hungarian[/TD]
[TD="width: 50, align: right"]5.16[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]Romanian[/TD]
[TD="width: 50, align: right"]5.82[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]Bulgarian[/TD]
[TD="width: 50, align: right"]6.71[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]Ukrainian[/TD]
[TD="width: 50, align: right"]6.8[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]Czech[/TD]
[TD="width: 50, align: right"]6.87[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]French[/TD]
[TD="width: 50, align: right"]7.19[/TD]

[TD="width: 40, align: center"]8[/TD]
[TD="width: 220"]English[/TD]
[TD="width: 50, align: right"]7.43[/TD]

[TD="width: 40, align: center"]9[/TD]
[TD="width: 220"]Scottish[/TD]
[TD="width: 50, align: right"]7.72[/TD]

[TD="width: 40, align: center"]10[/TD]
[TD="width: 220"]Norwegian[/TD]
[TD="width: 50, align: right"]7.83[/TD]

[TD="width: 40, align: center"]11[/TD]
[TD="width: 220"]Spanish[/TD]
[TD="width: 50, align: right"]9.79[/TD]

[TD="width: 40, align: center"]12[/TD]
[TD="width: 220"]Icelandic[/TD]
[TD="width: 50, align: right"]10.14[/TD]

[TD="width: 40, align: center"]13[/TD]
[TD="width: 220"]Europe_LNBA[/TD]
[TD="width: 50, align: right"]10.44[/TD]

[TD="width: 40, align: center"]14[/TD]
[TD="width: 220"]Albanian[/TD]
[TD="width: 50, align: right"]11.8[/TD]

[TD="width: 40, align: center"]15[/TD]
[TD="width: 220"]Steppe_MLBA[/TD]
[TD="width: 50, align: right"]12.1[/TD]

[TD="width: 40, align: center"]16[/TD]
[TD="width: 220"]Estonian[/TD]
[TD="width: 50, align: right"]12.54[/TD]

[TD="width: 40, align: center"]17[/TD]
[TD="width: 220"]Greek[/TD]
[TD="width: 50, align: right"]12.74[/TD]

[TD="width: 40, align: center"]18[/TD]
[TD="width: 220"]Russian[/TD]
[TD="width: 50, align: right"]12.92[/TD]

[TD="width: 40, align: center"]19[/TD]
[TD="width: 220"]Lithuanian[/TD]
[TD="width: 50, align: right"]13.77[/TD]

[TD="width: 40, align: center"]20[/TD]
[TD="width: 220"]Finnish[/TD]
[TD="width: 50, align: right"]14.33

[/TD]
 
Bump up of this thread. Is there any (data-based) opinion of which are the "best" calculators? (best understood as most precise, given a base population, given a certain time).

I see Eurogenes K36 is used a lot, but also K13 and K47 are discussed. Also some Dodecads. And here also Gedrosia (all available at Gedmatch, and even more there).

So, I do not which to use.

I see that the 23andme ancestry report is quite in line with K36 and K47, at least the broad picture (not the specific numbers, but not too bad anyway). And I have been surprised by the composition, since it gives me much more Scandinavian, Baltic, Finnish and North German that I would expect (I would have expected an overwhelming Mediterranean composition). In fact, adding up the North European components, I have more than Iberian component! If I add all Mediterranean components, they still dominate, but not by much.

I have been told by a friend that this could mean I have some Goth (Visigoth) ancestors, which established overall Europe, and in particular in Catalonia, since Goths were Baltic, originally. But I do not know how to check.

However, despite the calculators being overly consistent with each other, the Oracles are not. Different Oracles give me different combinations, very dissimilar to each other, that minimize the distance.

And for this reason, first I would like to find the right calculator. Please help! :)
 
Farstar said:
I see that the 23andme ancestry report is quite in line with K36 and K47, at least the broad picture (not the specific numbers, but not too bad anyway). And I have been surprised by the composition, since it gives me much more Scandinavian, Baltic, Finnish and North German that I would expect (I would have expected an overwhelming Mediterranean composition). In fact, adding up the North European components, I have more than Iberian component! If I add all Mediterranean components, they still dominate, but not by much.

I have been told by a friend that this could mean I have some Goth (Visigoth) ancestors, which established overall Europe, and in particular in Catalonia, since Goths were Baltic, originally. But I do not know how to check.
Click to expand...

I get where you're coming from. According to my tests I seem to be very closely related to Hungarians, Austrians, and Romanians. Even though these people aren't Slavic or South Slavic. Although it's been discussed on this forum before, I've always firmly believed South Slavs are still in large part native Illyrian, but according to my tests I'm closer related to Germans than to Albanians. While none of this is bad, It's still genuinely surprising. However, I've also done my K15 which (if I did the coordinates right) puts me closer to Balkan natives than northerners, so it's all somewhat confusing.

Funny enough, I also believe my Germanic component is probably from Ostrogoths, but honestly who knows.
 
Farstar said:
I have been told by a friend that this could mean I have some Goth (Visigoth) ancestors, which established overall Europe, and in particular in Catalonia, since Goths were Baltic, originally. But I do not know how to check.
Click to expand...

It also gives me Germanic components in K47 and Celts (?) I doubt it has anything to do with it.

lucasK47.jpg

I still don't understand what it is "West Med", all I know is that it is more dominant among Sardinians.
 
Dodecad World 9 does a good job for me. All my ancestors immigrated to the USA(1890-1905) from rural regions of Western Sicily (Trapani, Palermo, Agrigento). Top 10 Single and mixed mode populations provided.



Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]Atlantic_Baltic[/TD]
[TD="width: 50, align: right"]37.7[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Southern[/TD]
[TD="width: 50, align: right"]36.47[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasus_Gedrosia[/TD]
[TD="width: 50, align: right"]24.15[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]African[/TD]
[TD="width: 50, align: right"]0.76[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Australasian[/TD]
[TD="width: 50, align: right"]0.72[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]East_Asian[/TD]
[TD="width: 50, align: right"]0.2[/TD]

Single Population Sharing:

Population (source)

[TD="align: center"] # [/TD]

[TD="align: right"] Distance [/TD]

[TD="align: center"]1[/TD]
[TD="width: 220"]Ashkenazy_Jews[/TD]
[TD="width: 50, align: right"]2.42[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]Sicilian (Dodecad)[/TD]
[TD="width: 50, align: right"]2.42[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]S_Italian_Sicilian (Dodecad)[/TD]
[TD="width: 50, align: right"]2.7[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]Greek (Dodecad)[/TD]
[TD="width: 50, align: right"]3.51[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]S_Italian (Dodecad)[/TD]
[TD="width: 50, align: right"]3.55[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]Ashkenazi (Dodecad)[/TD]
[TD="width: 50, align: right"]3.68[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]C_Italian (Dodecad)[/TD]
[TD="width: 50, align: right"]6.32[/TD]

[TD="width: 40, align: center"]8[/TD]
[TD="width: 220"]O_Italian (Dodecad)[/TD]
[TD="width: 50, align: right"]9.1[/TD]

[TD="width: 40, align: center"]9[/TD]
[TD="width: 220"]Sephardic_Jews (Behar)[/TD]
[TD="width: 50, align: right"]10.91[/TD]

[TD="width: 40, align: center"]10[/TD]
[TD="width: 220"]Tuscan (HGDP)[/TD]
[TD="width: 50, align: right"]11.92[/TD]

[TD="width: 40, align: center"]

[/TD]
[TD="width: 220"][/TD]
[TD="width: 50, align: right"][/TD]

Mixed Mode Population Sharing:

+@
+@
+@
+@
+@
+@
+@
+@
+@
+@

[TD="align: center"] # [/TD]
[TD="width: 15"] [/TD]
[TD="colspan: 3"] Primary Population (source) [/TD]
[TD="colspan: 3"] Secondary Population (source) [/TD]
[TD="align: right"] Distance [/TD]

[TD="width: 20, align: center"]1[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]88.8%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]11.2%[/TD]
[TD="width: 200"]N_Italian (Dodecad)[/TD]

[TD="width: 50, align: right"]0.49[/TD]

[TD="width: 20, align: center"]2[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]93%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]7%[/TD]
[TD="width: 200"]French (Dodecad)[/TD]

[TD="width: 50, align: right"]0.5[/TD]

[TD="width: 20, align: center"]3[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]93%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]7%[/TD]
[TD="width: 200"]French (HGDP)[/TD]

[TD="width: 50, align: right"]0.51[/TD]

[TD="width: 20, align: center"]4[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]70.5%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]29.5%[/TD]
[TD="width: 200"]C_Italian (Dodecad)[/TD]

[TD="width: 50, align: right"]0.53[/TD]

[TD="width: 20, align: center"]5[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]81.9%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]18.1%[/TD]
[TD="width: 200"]Tuscan (HGDP)[/TD]

[TD="width: 50, align: right"]0.55[/TD]

[TD="width: 20, align: center"]6[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]82.9%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]17.1%[/TD]
[TD="width: 200"]TSI30 (Metspalu)[/TD]

[TD="width: 50, align: right"]0.55[/TD]

[TD="width: 20, align: center"]7[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]77.5%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]22.5%[/TD]
[TD="width: 200"]O_Italian (Dodecad)[/TD]

[TD="width: 50, align: right"]0.57[/TD]

[TD="width: 20, align: center"]8[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]88.7%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]11.3%[/TD]
[TD="width: 200"]North_Italian (HGDP)[/TD]

[TD="width: 50, align: right"]0.57[/TD]

[TD="width: 20, align: center"]9[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]94.2%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]5.8%[/TD]
[TD="width: 200"]Cornwall (1000 Genomes)[/TD]

[TD="width: 50, align: right"]0.6[/TD]

[TD="width: 20, align: center"]10[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]94.3%[/TD]
[TD="width: 200"]S_Italian_Sicilian (Dodecad)[/TD]

[TD="width: 30, align: right"]5.7%[/TD]
[TD="width: 200"]British (Dodecad)[/TD]

[TD="width: 50, align: right"]0.6[/TD]

[TD="width: 20, align: center"][/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"][/TD]
[TD="width: 200"][/TD]

[TD="width: 30, align: right"][/TD]
[TD="width: 200"][/TD]

[TD="width: 50, align: right"][/TD]

 
https://isogg.org/wiki/Autosomal_DN...Qjsv5vkFRC-vkFPlcLlaFf2SvkR24Najz54efs_XeAEms

[h=2]Autosomal DNA testing comparison chart[/h][FONT=&quot][/FONT]
[h=3]De ISOGG Wiki[/h][h=5][/h][FONT=&quot][/FONT]
[FONT=&quot]Autosomal DNA testing for genetic genealogy purposes is provided by the following five companies: 23andMe, AncestryDNA, MyHeritage, Family Tree DNA and the Genographic Project. For background material on purchasing a DNA test see Before You Buy and Choosing a DNA testing company.
For guidelines on DNA testing see the Genetic genealogy standards.

[/FONT]
 
HiveMindTerror said:
I get where you're coming from. According to my tests I seem to be very closely related to Hungarians, Austrians, and Romanians. Even though these people aren't Slavic or South Slavic.
Click to expand...

Don't forget, Hungarians, Austrians, and Romanians had a similar 'base' population to Balkanoids. They absorbed a lot of Slavs as well, linguistics notwithstanding.
 

[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.47 Pct[/TD]

[TD="bgcolor: #ffffff"]East_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]African[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Atlantic_Baltic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]74.82 Pct[/TD]

[TD="bgcolor: #ffffff"]Australasian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.95 Pct[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.56 Pct[/TD]

[TD="bgcolor: #ffffff"]Caucasus_Gedrosia[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.03 Pct[/TD]

[TD="bgcolor: #ffffff"]Southern[/TD]
[TD="bgcolor: #FFFFFF, align: right"]13.17 Pct[/TD]
 
You must log in or register to reply here.
Back
Top