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K15 Eurogenes EUtest V2 K15 Admixture Proportions v. K13 - Reason for Discrepancy?

J

JFWR

Banned
Messages
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Location
New York City
Ethnic group
Irish, English, French, German, Swedish, and Finnish
Y-DNA haplogroup
I-m223
mtDNA haplogroup
H64
I just got my autosomal DNA tests over at FTDna and I uploaded the results to GEDMatch. I just ran this test on my DNA sample to see what I'd get.

K15


[TD="bgcolor: #ffffff"]Population

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

[TD="bgcolor: #ffffff"]North_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]34.27[/TD]

[TD="bgcolor: #ffffff"]Atlantic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]22.19[/TD]

[TD="bgcolor: #ffffff"]Baltic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]10.68[/TD]

[TD="bgcolor: #ffffff"]Eastern_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.82[/TD]

[TD="bgcolor: #ffffff"]West_Med[/TD]
[TD="bgcolor: #FFFFFF, align: right"]9.77[/TD]

[TD="bgcolor: #ffffff"]West_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]3.85[/TD]

[TD="bgcolor: #ffffff"]East_Med[/TD]
[TD="bgcolor: #FFFFFF, align: right"]6.28[/TD]

[TD="bgcolor: #ffffff"]Red_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.31[/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.94[/TD]

[TD="bgcolor: #ffffff"]Southeast_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.73[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.85[/TD]

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

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

[TD="bgcolor: #ffffff"]Northeast_African[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.15[/TD]

[TD="bgcolor: #ffffff"]Sub-Saharan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.16
[/TD]
[/TD]


Or from Oracle-4:


Admix Results (sorted):

Population

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

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

[TD="align: center"]1[/TD]
[TD="width: 120"]North_Sea[/TD]
[TD="width: 50, align: right"]35.27[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Atlantic[/TD]
[TD="width: 50, align: right"]22.84[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Baltic[/TD]
[TD="width: 50, align: right"]10.99[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]West_Med[/TD]
[TD="width: 50, align: right"]10.05[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Eastern_Euro[/TD]
[TD="width: 50, align: right"]8.05[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]East_Med[/TD]
[TD="width: 50, align: right"]6.46[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]West_Asian[/TD]
[TD="width: 50, align: right"]3.96[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]Red_Sea[/TD]
[TD="width: 50, align: right"]2.38[/TD]


Finished reading population data. 207 populations found.
15 components mode.

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

Least-squares method.

Using 1 population approximation:
1 West_German @ 2.804410
2 South_Dutch @ 7.348853
3 North_Dutch @ 8.035695
4 Southwest_English @ 8.079571
5 North_German @ 8.482955
6 Southeast_English @ 8.552118
7 Danish @ 8.672141
8 Norwegian @ 9.612934
9 French @ 10.072474
10 Irish @ 10.151089
11 Swedish @ 10.262135
12 West_Scottish @ 10.334093
13 Orcadian @ 10.487629
14 West_Norwegian @ 10.943548
15 North_Swedish @ 13.001655
16 East_German @ 13.046979
17 Hungarian @ 16.324181
18 Austrian @ 17.452854
19 Southwest_Finnish @ 18.218288
20 Spanish_Galicia @ 18.455647

Using 2 populations approximation:
1 50% West_German +50% West_German @ 2.804410


Using 3 populations approximation:
1 50% West_Norwegian +25% West_Norwegian +25% West_Sicilian @ 2.259349


Using 4 populations approximation:
1 Tuscan + West_Norwegian + West_Norwegian + West_Norwegian @ 1.750299
2 Norwegian + Tuscan + West_Norwegian + West_Norwegian @ 1.886810
3 Swedish + Tuscan + West_Norwegian + West_Norwegian @ 2.005315
4 North_Dutch + Tuscan + West_Norwegian + West_Norwegian @ 2.060384
5 West_Norwegian + West_Norwegian + West_Norwegian + West_Sicilian @ 2.259349
6 North_Dutch + West_German + West_German + West_German @ 2.284733
7 Norwegian + Norwegian + Tuscan + West_Norwegian @ 2.299636
8 Greek_Thessaly + Orcadian + West_Norwegian + West_Norwegian @ 2.343312
9 Orcadian + Swedish + Tuscan + West_Norwegian @ 2.428667
10 North_Italian + West_German + West_Norwegian + West_Norwegian @ 2.446513
11 French + West_German + West_German + West_Norwegian @ 2.447169
12 North_Dutch + Norwegian + Tuscan + West_Norwegian @ 2.463567
13 Norwegian + Swedish + Tuscan + West_Norwegian @ 2.473162
14 Danish + Tuscan + West_Norwegian + West_Norwegian @ 2.473974
15 Danish + West_German + West_German + West_German @ 2.497041
16 French + Swedish + West_German + West_German @ 2.500826
17 Greek_Thessaly + West_Norwegian + West_Norwegian + West_Scottish @ 2.517869
18 North_Dutch + Swedish + Tuscan + West_Norwegian @ 2.538533
19 Orcadian + Tuscan + West_Norwegian + West_Norwegian @ 2.547293
20 Norwegian + Orcadian + Tuscan + West_Norwegian @ 2.605905


--

I find the above interesting as the Family Finder stuff at FTDNA suggested I was 14% Jewish Diaspora and 1% East-Asian. It appears the breakdown from Eurogenes suggests otherwise, and I checked to make sure it included such populations (which it does as other people have gotten such).


----


K13:



Admix Results (sorted):

Population

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

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

[TD="align: center"]1[/TD]
[TD="width: 120"]North_Atlantic[/TD]
[TD="width: 50, align: right"]43.17[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Baltic[/TD]
[TD="width: 50, align: right"]23.81[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]West_Med[/TD]
[TD="width: 50, align: right"]13.16[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]East_Med[/TD]
[TD="width: 50, align: right"]11.09[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]West_Asian[/TD]
[TD="width: 50, align: right"]3.97[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Red_Sea[/TD]
[TD="width: 50, align: right"]2.34[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]Siberian[/TD]
[TD="width: 50, align: right"]1.35[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]South_Asian[/TD]
[TD="width: 50, align: right"]1.11[/TD]


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 West_German @ 4.833794
2 South_Dutch @ 5.500583
3 French @ 9.145022
4 Austrian @ 9.760158
5 North_German @ 9.880057
6 Southeast_English @ 9.929676
7 Danish @ 11.301296
8 North_Dutch @ 11.625993
9 East_German @ 11.670313
10 Orcadian @ 12.119682
11 Southwest_English @ 12.631271
12 Irish @ 13.668941
13 Norwegian @ 13.890860
14 Hungarian @ 13.899807
15 West_Scottish @ 13.961719
16 Swedish @ 14.087857
17 North_Swedish @ 17.192873
18 Spanish_Cataluna @ 17.544916
19 Serbian @ 18.136967
20 Portuguese @ 18.408522

Using 2 populations approximation:
1 50% West_German +50% West_German @ 4.833794


Using 3 populations approximation:
1 50% Southeast_English +25% Southwest_Finnish +25% Tuscan @ 3.606634


Using 4 populations approximation:
1 Ashkenazi + North_Swedish + Southwest_English + West_Scottish @ 3.218193
2 Ashkenazi + North_Swedish + Southeast_English + West_Scottish @ 3.236288
3 Ashkenazi + North_Swedish + West_Scottish + West_Scottish @ 3.237738
4 Danish + North_Swedish + Southeast_English + Tuscan @ 3.256015
5 North_Swedish + Southeast_English + Southeast_English + Tuscan @ 3.292192
6 Ashkenazi + North_Swedish + Orcadian + West_Scottish @ 3.308287
7 Danish + North_Swedish + Southeast_English + West_Sicilian @ 3.314966
8 Ashkenazi + Norwegian + Norwegian + Southeast_English @ 3.315645
9 Ashkenazi + North_Swedish + Orcadian + Southwest_English @ 3.348068
10 Ashkenazi + Norwegian + Norwegian + Orcadian @ 3.356371
11 North_Dutch + North_Swedish + Southeast_English + West_Sicilian @ 3.377696
12 North_Swedish + Norwegian + Southeast_English + West_Sicilian @ 3.387819
13 Ashkenazi + Norwegian + Southeast_English + Swedish @ 3.396068
14 North_Dutch + North_Swedish + Southeast_English + Tuscan @ 3.400794
15 North_German + North_Swedish + Southeast_English + Tuscan @ 3.410882
16 North_Swedish + Southeast_English + Southeast_English + West_Sicilian @ 3.413811
17 North_Swedish + Orcadian + Southeast_English + West_Sicilian @ 3.414523
18 Ashkenazi + Norwegian + Southwest_English + Swedish @ 3.436810
19 Ashkenazi + North_Swedish + Southwest_English + Southwest_English @ 3.455003
20 Ashkenazi + North_Swedish + Southeast_English + Southwest_English @ 3.455531

------


Here the Ashkenazi pops up again, but only in respect to 4 populations breakdown. Interestingly, result #1 does correspond well with part of my ancestry in Southwest England (Cornwall) and West Germany (Rheinland-Plafz), both of which I have confirmed ancestors, but I've no significant Scottish, and I know of no Jewish, ancestry.

What should lead to this kind of discrepancy in numbers?
 
Maybe "Tuscan" is equivalent to "Jewish Diaspora" in this case. For some reason.
 
Tomenable said:
Maybe "Tuscan" is equivalent to "Jewish Diaspora" in this case. For some reason.
Click to expand...

Yeah, I find that really odd.

Maybe it's because of um, Near East farmer DNA? Or something? Etruscan DNA being thought of as Jewish, because the Etruscans may have come from the ME/NE earlier?

I know of no Italian ancestry at all, either.

Also, see this, the J Test from Eurogenes:

[h=2]Jtest 4-Ancestors Oracle[/h]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.

Jtest Oracle population reference data revised 06 Nov 2012.

Admix Results (sorted):

Population

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

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

[TD="align: center"]1[/TD]
[TD="width: 120"]NORTH-CENTRAL_EURO[/TD]
[TD="width: 50, align: right"]23.78[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]ATLANTIC[/TD]
[TD="width: 50, align: right"]23.26[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]SOUTH_BALTIC[/TD]
[TD="width: 50, align: right"]12.61[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]WEST_MED[/TD]
[TD="width: 50, align: right"]11.21[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]EAST_EURO[/TD]
[TD="width: 50, align: right"]9.44[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]ASHKENAZI[/TD]
[TD="width: 50, align: right"]6.61[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]EAST_MED[/TD]
[TD="width: 50, align: right"]5.42[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]WEST_ASIAN[/TD]
[TD="width: 50, align: right"]3.83[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]MIDDLE_EASTERN[/TD]
[TD="width: 50, align: right"]2.59[/TD]


Finished reading population data. 78 populations found.
14 components mode.

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

Least-squares method.

Using 1 population approximation:
1 West_&_Central_German @ 6.227730
2 NL @ 6.952455
3 Cornish @ 8.114070
4 English @ 8.188676
5 AT @ 8.976995
6 FR @ 8.980113
7 Orcadian @ 10.005688
8 DK @ 10.500942
9 IE @ 10.936235
10 Scottish @ 11.744516
11 NO @ 12.337165
12 South_&_Central_Swedish @ 12.745317
13 HU @ 15.134824
14 PT @ 15.531312
15 North_Swedish @ 15.860636
16 ES @ 16.671646
17 Serbian @ 16.963697
18 North_Italian @ 19.037191
19 RO @ 19.939255
20 South_Finnish @ 22.914680

Using 2 populations approximation:
1 50% AT +50% English @ 4.903502


Using 3 populations approximation:
1 50% English +25% HU +25% PT @ 4.002220


Using 4 populations approximation:
1 AJ + IE + IE + South_&_Central_Swedish @ 3.434222
2 AJ + Cornish + IE + South_&_Central_Swedish @ 3.440924
3 AJ + IE + Orcadian + South_&_Central_Swedish @ 3.508435
4 AJ + Cornish + IE + NO @ 3.532915
5 AJ + IE + IE + NO @ 3.536074
6 AJ + Cornish + Scottish + South_&_Central_Swedish @ 3.553771
7 AJ + IE + Scottish + South_&_Central_Swedish @ 3.555551
8 AJ + IE + NO + Orcadian @ 3.571811
9 AJ + Cornish + Orcadian + South_&_Central_Swedish @ 3.586040
10 AJ + English + IE + South_&_Central_Swedish @ 3.615737
11 AJ + Cornish + NO + Orcadian @ 3.637308
12 AJ + Cornish + NO + Scottish @ 3.637961
13 AJ + IE + NO + Scottish @ 3.647754
14 AJ + Orcadian + Orcadian + South_&_Central_Swedish @ 3.648716
15 AJ + Orcadian + Scottish + South_&_Central_Swedish @ 3.651611
16 AJ + NO + Orcadian + Orcadian @ 3.670307
17 AJ + English + IE + NO @ 3.672685
18 AJ + English + Scottish + South_&_Central_Swedish @ 3.677294
19 AJ + NO + Orcadian + Scottish @ 3.707969
20 AJ + English + NO + Scottish @ 3.738

The 4 population thing seems really odd, given that...the Ashkenazi score is 6.00. Which makes me suspect that maybe this is somewhat of a fluke? The Eurogenes said that 2-3 percent is unlikely, whereas 25% is pure Ashkenazi. So uh, maybe I hvae like, a single Jewish ancestor several generations back, or Etruscan (???) is coming up as Jewish?
 
This is my K36 test results:


[TD="bgcolor: #ffffff"]Population

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

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

[TD="bgcolor: #ffffff"]Arabian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.72[/TD]

[TD="bgcolor: #ffffff"]Armenian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.96[/TD]

[TD="bgcolor: #ffffff"]Basque[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.63[/TD]

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

[TD="bgcolor: #ffffff"]Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]5.83[/TD]

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

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

[TD="bgcolor: #ffffff"]East_Balkan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.12[/TD]

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

[TD="bgcolor: #ffffff"]East_Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.21[/TD]

[TD="bgcolor: #ffffff"]East_Med[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.30[/TD]

[TD="bgcolor: #ffffff"]Eastern_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.34[/TD]

[TD="bgcolor: #ffffff"]Fennoscandian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]14.20[/TD]

[TD="bgcolor: #ffffff"]French[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.72[/TD]

[TD="bgcolor: #ffffff"]Iberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]12.41[/TD]

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

[TD="bgcolor: #ffffff"]Italian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]13.92[/TD]

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

[TD="bgcolor: #ffffff"]Near_Eastern[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.29[/TD]

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

[TD="bgcolor: #ffffff"]North_Atlantic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]13.64[/TD]

[TD="bgcolor: #ffffff"]North_Caucasian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.67[/TD]

[TD="bgcolor: #ffffff"]North_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]13.05[/TD]

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

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.06[/TD]

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

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

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

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.70[/TD]

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

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

[TD="bgcolor: #ffffff"]Volga-Ural[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.05[/TD]

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

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

[TD="bgcolor: #ffffff"]West_Med[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.18[/TD]

[/TD]
[TD="width: 25"]

[/TD]
 
K12b:


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

[TD="bgcolor: #ffffff"]Western European[/TD]
[TD="bgcolor: #FFFFFF, align: right"]37.34[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.71[/TD]

[TD="bgcolor: #ffffff"]East African[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.53[/TD]

[TD="bgcolor: #ffffff"]West Central Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.04[/TD]

[TD="bgcolor: #ffffff"]South Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.57[/TD]

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

[TD="bgcolor: #ffffff"]Caucasus[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.88[/TD]

[TD="bgcolor: #ffffff"]Finnish[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.61[/TD]

[TD="bgcolor: #ffffff"]Mediterranean[/TD]
[TD="bgcolor: #FFFFFF, align: right"]16.03[/TD]

[TD="bgcolor: #ffffff"]Southwest Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.62[/TD]

[TD="bgcolor: #ffffff"]North European[/TD]
[TD="bgcolor: #FFFFFF, align: right"]22.03[/TD]

[TD="bgcolor: #ffffff"]East Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.60[/TD]
 

[TD="bgcolor: #ffffff"]
K9:


Population

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

[TD="bgcolor: #ffffff"]South Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.74[/TD]

[TD="bgcolor: #ffffff"]Caucasus[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.81[/TD]

[TD="bgcolor: #ffffff"]Southwest Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.58[/TD]

[TD="bgcolor: #ffffff"]North Amerindian + Arctic[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.09[/TD]

[TD="bgcolor: #ffffff"]Mediterranean[/TD]
[TD="bgcolor: #FFFFFF, align: right"]25.91[/TD]

[TD="bgcolor: #ffffff"]East Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.46[/TD]

[TD="bgcolor: #ffffff"]West African[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.29[/TD]

[TD="bgcolor: #ffffff"]North European[/TD]
[TD="bgcolor: #FFFFFF, align: right"]58.12[/TD]

[/TD]
[TD="width: 25"] [/TD]
 
The only MDLP test that I checked that gives me anything related to Ashkenazi:

[h=2]MDLP World-22 4-Ancestors Oracle[/h]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.

Admix Results (sorted):

Population

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

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

[TD="align: center"]1[/TD]
[TD="width: 120"]North-East-European[/TD]
[TD="width: 50, align: right"]43.58[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Atlantic_Mediterranean_Neolithic[/TD]
[TD="width: 50, align: right"]32.75[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]West-Asian[/TD]
[TD="width: 50, align: right"]8.22[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Near_East[/TD]
[TD="width: 50, align: right"]6.63[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]North-European-Mesolithic[/TD]
[TD="width: 50, align: right"]5.37[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Indo-Iranian[/TD]
[TD="width: 50, align: right"]1.61[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]Samoedic[/TD]
[TD="width: 50, align: right"]1.04[/TD]


Finished reading population data. 276 populations found.
22 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Serbian @ 6.233980
2 German-South @ 7.127958
3 Montenegrin @ 7.913583
4 German_V @ 8.101038
5 Austrian @ 8.411101
6 Macedonian @ 8.536514
7 CEU @ 9.176399
8 CEU_V @ 9.207612
9 Hungarian @ 9.243794
10 Bosnian @ 9.627144
11 British @ 10.125262
12 Croatian @ 10.413471
13 Welsh @ 10.603597
14 Bulgarian @ 10.927149
15 Norwegian_V @ 11.023299
16 Swiss @ 11.257579
17 Orcadian @ 11.520227
18 German @ 11.776239
19 Slovenian @ 11.954774
20 French @ 12.592409

Using 2 populations approximation:
1 50% Bulgarian +50% Norwegian_V @ 2.203369


Using 3 populations approximation:
1 50% Norwegian_V +25% Sicilian +25% Ukrainian-West @ 1.070280


Using 4 populations approximation:
1 Ashkenazim_V + Norwegian_V + Serbian + Swedish_V @ 0.871361
2 Hungarian + Sicilian + Swedish + Swedish_V @ 0.980471
3 CEU_V + German + Sicilian + Swedish_V @ 1.002836
4 Estonian + Italian-South + Norwegian_V + Provancestralal @ 1.011664
5 Hungarian + Sicilian + Swedish_V + Swedish_V @ 1.041169
6 Croatian + Sicilian + Swedish_V + Swedish_V @ 1.046928
7 Norwegian_V + Sicilian + Slovakian + Swedish @ 1.052170
8 Norwegian_V + Norwegian_V + Sicilian + Ukrainian-West @ 1.070280
9 Ashkenazim_V + Bosnian + Norwegian_V + Norwegian_V @ 1.078303
10 Ashkenazim_V + Norwegian_V + Serbian + Swedish @ 1.098346
11 German-North + Jew_Francestrale + Swedish + Swedish_V @ 1.105674
12 Ashkenazim_V + Croatian + Norwegian_V + Norwegian_V @ 1.116461
13 French + Russian_V + Sicilian + Swedish_V @ 1.129072
14 Croatian_V + Norwegian_V + Sicilian + Swedish_V @ 1.136503
15 German + Sicilian + Swedish + Swedish @ 1.163399
16 Croatian_V + Italian-South + Norwegian_V + Swedish_V @ 1.163537
17 Ashkenazim_V + Montenegrin + Swedish + Swedish_V @ 1.163975
18 German-North + Jew_Francestrale + Swedish + Swedish @ 1.176808
19 Estonian + Italian-Center + Norwegian_V + Provancestralal @ 1.178942
20 Estonian + French + Norwegian_V + Sicilian @ 1.186526
 
JFWR said:
Yeah, I find that really odd. Maybe it's because of um, Near East farmer DNA? Or something? Etruscan DNA being thought of as Jewish, because the Etruscans may have come from the ME/NE earlier? I know of no Italian ancestry at all, either.
Click to expand...
Etruscans have nothing to do with Jewish and hardly Tuscans are the same of Etruscans. Jewish diaspora peaks in northern Europeans (Polish?) and Ashkenazis cluster with Southern Italians/Greeks but Ashkenazis have nothing to do with Southern Italians/Greeks.
 
binx said:
Etruscans have nothing to do with Jewish and hardly Tuscans are the same of Etruscans. Jewish diaspora peaks in northern Europeans (Polish?) and Ashkenazis cluster with Southern Italians/Greeks but Ashkenazis have nothing to do with Southern Italians/Greeks.
Click to expand...

I have someone say they're a Polish cousin from FTDNA, but I don't know of any actual Polish ancestry. Likewise, I don't know any Italian/Greek ancestry.

The Tuscan thing is really peculiar. As peculiar as Ashkenazi.
 
MDLP K=12 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.

Admix Results (sorted):

Population
Celto_Germanic

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

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

[TD="align: center"]1[/TD]

[TD="align: right"]30.22[/TD]

[TD="align: center"]2[/TD]
[TD="width: 120"]Paleo_Mediterranean[/TD]
[TD="width: 50, align: right"]16.94[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]East_European[/TD]
[TD="width: 50, align: right"]14.88[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Iberian[/TD]
[TD="width: 50, align: right"]11.05[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Balto_Finnic[/TD]
[TD="width: 50, align: right"]9.37[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]8.27[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]South_Central_Asian[/TD]
[TD="width: 50, align: right"]3.05[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]Paleo_North_European[/TD]
[TD="width: 50, align: right"]2.59[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]Volga_Uralic[/TD]
[TD="width: 50, align: right"]1.53[/TD]

[TD="width: 30, align: center"]10[/TD]
[TD="width: 120"]Paleo_Balkanic[/TD]
[TD="width: 50, align: right"]1.19[/TD]


Finished reading population data. 73 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 GER @ 13.156206
2 FRN @ 17.416616
3 BLG @ 24.495422
4 PRT @ 25.284000
5 HNG @ 25.656116
6 CEU @ 25.762783
7 IBR @ 26.315102
8 SPN @ 26.500988
9 GBRWAL @ 28.770025
10 NITAL @ 29.026623
11 SLV @ 30.207409
12 SWD @ 31.426466
13 GBRKN @ 31.880705
14 RMN @ 32.459972
15 CRS @ 32.657539
16 SLK @ 34.501354
17 BSN @ 35.151066
18 CRT @ 35.216248
19 SRB @ 35.594215
20 MCD @ 35.817753

Using 2 populations approximation:
1 50% GBRKN +50% RMN @ 8.896418


Using 3 populations approximation:
1 50% GBRWAL +25% NRUS +25% SIC @ 3.768662


Using 4 populations approximation:
1 CITAL + ETN + SPN + NRW @ 3.447668
2 ETN + FRN + GBRARG + SIC @ 3.629551
3 ETN + FRN + SIC + NRW @ 3.637268
4 CITAL + ETN + IBR + NRW @ 3.678346
5 GBRWAL + GBRWAL + NRUS + SIC @ 3.768662
6 CITAL + FRN + GBRARG + NRUS @ 3.825681
7 ETN + FRN + GBRCORN + SIC @ 3.943223
8 ETN + FRN + GBRKN + SIC @ 3.961145
9 CEU + GBRWAL + NRUS + SIC @ 3.970389
10 CEU + GBRKN + NRUS + SIC @ 4.074389
11 ASHK + ETN + FRN + GBRARG @ 4.087611
12 GBRKN + GBRWAL + NRUS + SIC @ 4.089547
13 FRN + GBRWAL + NITAL + NRUS @ 4.107175
14 CEU + FRN + NITAL + NRUS @ 4.150099
15 ASHK + ETN + GBRORK + SPN @ 4.165143
16 FRN + GBRORK + GRK + NRUS @ 4.181536
17 CEU + GBRARG + NRUS + SIC @ 4.224968
18 ETN + FRN + GBRWAL + SIC @ 4.240028
19 CITAL + ETN + FRN + GBRKN @ 4.259028
20 CEU + GBRCORN + NRUS + SIC @ 4.296273

- I don't know what a lot of these abbreviations mean. Does anyone know what "ETN" means? Estonian?

Could the Sicily be comparing my genes to Normans in Sicily? All this Italian ancestry really doesn't make much sense.
 
[h=2]Gedmatch.Com[/h][h=2]Dodecad V3 4-Ancestors Oracle[/h]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.

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Admix Results (sorted):

Population

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

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

[TD="align: center"]1[/TD]
[TD="width: 120"]West_European[/TD]
[TD="width: 50, align: right"]46.41[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Mediterranean[/TD]
[TD="width: 50, align: right"]26.02[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]East_European[/TD]
[TD="width: 50, align: right"]11.54[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]West_Asian[/TD]
[TD="width: 50, align: right"]9.40[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Southwest_Asian[/TD]
[TD="width: 50, align: right"]4.11[/TD]


Finished reading population data. 227 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 CEU @ 8.512572
2 N._European @ 8.855190
3 German @ 9.965770
4 Argyll @ 10.387909
5 Orcadian @ 10.887323
6 Orkney @ 11.214021
7 French @ 12.759520
8 French @ 12.918434
9 Slovenian @ 13.073295
10 Mixed_Germanic @ 15.691445
11 Dutch @ 17.147642
12 Hungarians @ 17.888056
13 Kent @ 19.612755
14 British_Isles @ 21.590166
15 British @ 21.649841
16 Cornwall @ 22.203838
17 Tuscan @ 22.965403
18 TSI @ 23.264027
19 Tuscan @ 23.275482
20 Portuguese @ 23.515041

Using 2 populations approximation:
1 50% Irish +50% Romanians_14 @ 3.494233


Using 3 populations approximation:
1 50% German +25% Norwegian +25% Sicilian @ 1.284449


Using 4 populations approximation:
1 Finnish + French + Irish + S_Italian_Sicilian @ 1.103497
2 Finnish + French + Irish + S_Italian_Sicilian @ 1.200113
3 German + German + Norwegian + Sicilian @ 1.284449
4 Cornwall + Finnish + French + S_Italian_Sicilian @ 1.334486
5 Cornwall + Finnish + French + S_Italian_Sicilian @ 1.339075
6 German + Sicilian + Swedish + N._European @ 1.377016
7 British + Finnish + French + S_Italian_Sicilian @ 1.377422
8 FIN + Kent + Orcadian + Sephardic_Jews @ 1.404571
9 FIN + French + Norwegian + S_Italian @ 1.432832
10 CEU + Cornwall + FIN + Sephardic_Jews @ 1.437061
11 German + German + Norwegian + S_Italian_Sicilian @ 1.445975
12 FIN + French + Norwegian + S_Italian @ 1.445995
13 British_Isles + Finnish + French + S_Italian_Sicilian @ 1.446834
14 British + CEU + FIN + Sephardic_Jews @ 1.459069
15 FIN + Kent + Orkney + Sephardic_Jews @ 1.468533
16 British + Finnish + French + S_Italian_Sicilian @ 1.480287
17 British + FIN + Orcadian + Sephardic_Jews @ 1.486652
18 Hungarians + Norwegian + Norwegian + Sicilian @ 1.487609
19 Cornwall + FIN + Orcadian + Sephardic_Jews @ 1.495532
20 Norwegian + O_Italian + N._European + Slovenian @ 1.500524

Done.

Elapsed time 0.3914 seconds.

Dodecad is coming up Italian, too.

This is puzzling!
 
JFWR said:
MDLP K=12 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.

Admix Results (sorted):

Population
Celto_Germanic
Paleo_Mediterranean

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

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

[TD="align: center"]1[/TD]

[TD="align: right"]30.22[/TD]

[TD="align: center"]2[/TD]

[TD="align: right"]16.94[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]East_European[/TD]
[TD="width: 50, align: right"]14.88[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Iberian[/TD]
[TD="width: 50, align: right"]11.05[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Balto_Finnic[/TD]
[TD="width: 50, align: right"]9.37[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Caucasian[/TD]
[TD="width: 50, align: right"]8.27[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]South_Central_Asian[/TD]
[TD="width: 50, align: right"]3.05[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]Paleo_North_European[/TD]
[TD="width: 50, align: right"]2.59[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]Volga_Uralic[/TD]
[TD="width: 50, align: right"]1.53[/TD]

[TD="width: 30, align: center"]10[/TD]
[TD="width: 120"]Paleo_Balkanic[/TD]
[TD="width: 50, align: right"]1.19[/TD]


Finished reading population data. 73 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 GER @ 13.156206
2 FRN @ 17.416616
3 BLG @ 24.495422
4 PRT @ 25.284000
5 HNG @ 25.656116
6 CEU @ 25.762783
7 IBR @ 26.315102
8 SPN @ 26.500988
9 GBRWAL @ 28.770025
10 NITAL @ 29.026623
11 SLV @ 30.207409
12 SWD @ 31.426466
13 GBRKN @ 31.880705
14 RMN @ 32.459972
15 CRS @ 32.657539
16 SLK @ 34.501354
17 BSN @ 35.151066
18 CRT @ 35.216248
19 SRB @ 35.594215
20 MCD @ 35.817753

Using 2 populations approximation:
1 50% GBRKN +50% RMN @ 8.896418


Using 3 populations approximation:
1 50% GBRWAL +25% NRUS +25% SIC @ 3.768662


Using 4 populations approximation:
1 CITAL + ETN + SPN + NRW @ 3.447668
2 ETN + FRN + GBRARG + SIC @ 3.629551
3 ETN + FRN + SIC + NRW @ 3.637268
4 CITAL + ETN + IBR + NRW @ 3.678346
5 GBRWAL + GBRWAL + NRUS + SIC @ 3.768662
6 CITAL + FRN + GBRARG + NRUS @ 3.825681
7 ETN + FRN + GBRCORN + SIC @ 3.943223
8 ETN + FRN + GBRKN + SIC @ 3.961145
9 CEU + GBRWAL + NRUS + SIC @ 3.970389
10 CEU + GBRKN + NRUS + SIC @ 4.074389
11 ASHK + ETN + FRN + GBRARG @ 4.087611
12 GBRKN + GBRWAL + NRUS + SIC @ 4.089547
13 FRN + GBRWAL + NITAL + NRUS @ 4.107175
14 CEU + FRN + NITAL + NRUS @ 4.150099
15 ASHK + ETN + GBRORK + SPN @ 4.165143
16 FRN + GBRORK + GRK + NRUS @ 4.181536
17 CEU + GBRARG + NRUS + SIC @ 4.224968
18 ETN + FRN + GBRWAL + SIC @ 4.240028
19 CITAL + ETN + FRN + GBRKN @ 4.259028
20 CEU + GBRCORN + NRUS + SIC @ 4.296273

- I don't know what a lot of these abbreviations mean. Does anyone know what "ETN" means? Estonian?

Could the Sicily be comparing my genes to Normans in Sicily? All this Italian ancestry really doesn't make much sense.
Click to expand...

Those numbers after the nationality are measuring "goodness of fit". None of them are very good for you, because you are such a mixture of different ethnic groups, like a lot of Americans.

People from Europe with all four grandparents from one area can get very good "fits". On some calculators, some northern Europeans can get fits under 1. Italians are much more diverse, but I, for example, get a fit of around 2 on the calculators that have a lot of samples from northern Italy and Tuscany.

So, you don't have all this "Italian". Look how far down the list it is.

What is indeed showing up is European Neolithic ancestry, for example, most of which came from the ancient Near East. Everybody in Europe has that to one degree or another, just like everybody in Europe has some CHG, and everybody has WHG, even if it's "buried" in their EEF score.

You might want to read Lazardis et al:
http://biorxiv.org/content/biorxiv/early/2014/04/05/001552.full.pdf
 
[h=2]Eurogenes K36 Admixture Proportions[/h]
This utility uses the Eurogenes K36 model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes Genetic Ancestry Project blog.

Kit Number: T402245 Elapsed Time: 33.57 seconds




[TD="bgcolor: #E0E0E0"]

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

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

[TD="bgcolor: #ffffff"]Arabian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.72[/TD]

[TD="bgcolor: #ffffff"]Armenian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.96[/TD]

[TD="bgcolor: #ffffff"]Basque[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.63[/TD]

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

[TD="bgcolor: #ffffff"]Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]5.83[/TD]

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

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

[TD="bgcolor: #ffffff"]East_Balkan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.12[/TD]

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

[TD="bgcolor: #ffffff"]East_Central_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.21[/TD]

[TD="bgcolor: #ffffff"]East_Med[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.30[/TD]

[TD="bgcolor: #ffffff"]Eastern_Euro[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.34[/TD]

[TD="bgcolor: #ffffff"]Fennoscandian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]14.20[/TD]

[TD="bgcolor: #ffffff"]French[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.72[/TD]

[TD="bgcolor: #ffffff"]Iberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]12.41[/TD]

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

[TD="bgcolor: #ffffff"]Italian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]13.92[/TD]

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

[TD="bgcolor: #ffffff"]Near_Eastern[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.29[/TD]

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

[TD="bgcolor: #ffffff"]North_Atlantic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]13.64[/TD]

[TD="bgcolor: #ffffff"]North_Caucasian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.67[/TD]

[TD="bgcolor: #ffffff"]North_Sea[/TD]
[TD="bgcolor: #FFFFFF, align: right"]13.05[/TD]

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

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.06[/TD]

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

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

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

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.70[/TD]

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

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

[TD="bgcolor: #ffffff"]Volga-Ural[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.05[/TD]

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

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

[TD="bgcolor: #ffffff"]West_Med[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.18[/TD]

[/TD]


...It seems like Italian might really be part of my ancestry? This is odd.
 
Angela said:
Those numbers after the nationality are measuring "goodness of fit". None of them are very good for you, because you are such a mixture of different ethnic groups, like a lot of Americans.

People from Europe with all four grandparents from one area can get very good "fits". On some calculators, some northern Europeans can get fits under 1. Italians are much more diverse, but I, for example, get a fit of around 2 on the calculators that have a lot of samples from northern Italy and Tuscany.

So, you don't have all this "Italian". Look how far down the list it is.

What is indeed showing up is European Neolithic ancestry, for example, most of which came from the ancient Near East. Everybody in Europe has that to one degree or another, just like everybody in Europe has some CHG, and everybody has WHG, even if it's "buried" in their EEF score.

You might want to read Lazardis et al:
http://biorxiv.org/content/biorxiv/early/2014/04/05/001552.full.pdf
Click to expand...

Very, very, very intriguing!

Ah, so what is showing up is European Neolithic. That goes hand in hand with H64 as a MDNA haplogroup, no?
 
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