Albanian Autosomal DNA

I doubt the test has anything to do with Bulgarian or Tuscan. The mix of the two would be closest to what I am. Tuscan is so wide ranging and so is Bulgarian/Romanian to be honest because it is a Slavic mix(12a)? with perhaps EV13.
 
I have read a lot on here about Albanian origin and DNA with no sources or Science proof. I did a FTDNA Family Finder Autosomal test, and my result came out as
80% South East Europe- Tuscan
20% Europe- Basque, Finnish, French, Orcadian, Romanian, Spanish

I also Had my result looked at by Dr. Douglas McDonald his result were
Most likely fit is 11.1% Europe(Various subcontienents)
and 88.9% Europe All south European(Tuscan)
which is total 100%Europe.

Can you post your plot ? do you plot Near Italy ?
 
Can you post your plot ? do you plot Near Italy ?
Bump

Does this Mr Douglas examine 23andme data or Gedmatch charts?

I don't really understand my results. I'm northern Gheg Albanian yet I plot closely with Tuscans and Greeks. Mainly northern Greece and Thessaly.

My father moreso to Thessaly and Greece.

My k36 plot put me off the coast of Spain right in the water. Lol.

For instance here are some gedmatch tests.

This first one. Like idk what to make of it.

Harrapaworld



Admix Results (sorted):

# Population Percent
1 Caucasian 30.35
2 Mediterranean 29.62
3 NE-Euro 26.52
4 SW-Asian 8.05
5 Baloch 4.61


Finished reading population data. 377 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 tuscan @ 3.845267
2 tuscan @ 4.297274
3 tuscan @ 4.908243
4 ashkenazi @ 11.336257
5 italian @ 11.732196
6 bulgarian @ 11.873545
7 romanian-a @ 12.964595
8 ashkenazy-jew @ 14.762963
9 serbian @ 19.669205
10 sephardic-jew @ 21.573978
11 morocco-jew @ 22.207796
12 turk-aydin @ 23.762938
13 spaniard @ 25.116476
14 spaniard @ 26.094967
15 french @ 27.884296
16 hungarian @ 28.513508
17 puerto-rican @ 30.215263
18 slovenian @ 30.218838
19 romanian-b @ 31.005081
20 turk-istanbul @ 31.084003

Using 2 populations approximation:
1 50% ashkenazi +50% italian @ 3.838477


Using 3 populations approximation:
1 50% bulgarian +25% druze +25% spain-basc @ 2.799596


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 druze + hungarian + sardinian + serbian @ 1.700702
2 bulgarian + tuscan + tuscan + tuscan @ 1.862400
3 druze + sardinian + serbian + slovenian @ 1.874568
4 ashkenazi + bulgarian + tuscan + tuscan @ 1.900886
5 belorussian + druze + sardinian + tuscan @ 1.987812
6 druze + russian + sardinian + tuscan @ 2.003435
7 belorussian + druze + sardinian + tuscan @ 2.004911
8 ashkenazi + bulgarian + tuscan + tuscan @ 2.011636
9 belorussian + druze + sardinian + tuscan @ 2.032527
10 bulgarian + tuscan + tuscan + tuscan @ 2.036038
11 druze + russian + sardinian + tuscan @ 2.089630
12 ashkenazi + bulgarian + tuscan + tuscan @ 2.090878
13 druze + romanian-a + sardinian + slovenian @ 2.127053
14 ashkenazi + bulgarian + tuscan + tuscan @ 2.138832
15 bulgarian + cypriot + italian + italian @ 2.140115
16 bulgarian + druze + sardinian + slovenian @ 2.161041
17 bulgarian + tuscan + tuscan + tuscan @ 2.180578
18 druze + russian + sardinian + tuscan @ 2.200967
19 bulgarian + tuscan + tuscan + tuscan @ 2.223606
20 ashkenazi + bulgarian + tuscan + tuscan @ 2.230394

Done.

Elapsed time 2.7817 seconds.



MDLP K16 2xOracle and OracleX4

Admix Results (sorted):

# Population Percent
1 Caucasian 34.02
2 Neolithic 32.28
3 NorthEastEuropean 15.52
4 Steppe 15.43
5 NearEast 2.26


Finished reading population data. 516 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Italian @ 4.375938
2 Kosovar @ 4.947197
3 Greek @ 6.314175
4 Albanian @ 6.578762
5 Italian @ 7.174864
6 Greek @ 7.410804
7 Italian @ 7.430727
8 Macedonian @ 8.117078
9 Corsican @ 8.431943
10 Bulgarian @ 8.542656
11 Greek @ 8.922658
12 Gagauz @ 9.098313
13 Bulgarian @ 9.167999
14 Italian @ 9.309483
15 Romanian @ 9.652543
16 Montenegrian @ 9.747671
17 Italian @ 9.763817
18 Romanian @ 10.264160
19 Serbian @ 10.617203
20 Romanian @ 10.805533

Using 2 populations approximation:
1 50% Greek +50% Italian @ 3.249501


Using 3 populations approximation:
1 50% Greek +25% Italian +25% Italian @ 3.249501




Kit Num: M635564

Feel free to run my kit.

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 West_Med 27.15
2 East_Med 24.54
3 North_Atlantic 19.43
4 Baltic 16.81
5 West_Asian 10.55
6 Red_Sea 1.52


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

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

Least-squares method.

Using 1 population approximation:
1 Greek_Thessaly @ 7.295632
2 Tuscan @ 11.345535
3 Central_Greek @ 11.814044
4 West_Sicilian @ 11.846689
5 Italian_Abruzzo @ 12.700343
6 Bulgarian @ 12.873500
7 East_Sicilian @ 13.000627
8 North_Italian @ 14.683453
9 Romanian @ 15.138682
10 South_Italian @ 15.256856
11 Ashkenazi @ 16.222134
12 Serbian @ 19.495905
13 Algerian_Jewish @ 21.132277
14 Italian_Jewish @ 21.806252
15 Sephardic_Jewish @ 22.578613
16 Portuguese @ 24.181244
17 Spanish_Extremadura @ 24.213604
18 Spanish_Andalucia @ 24.910484
19 Spanish_Galicia @ 25.158728
20 Spanish_Valencia @ 25.589027

Using 2 populations approximation:
1 50% Greek_Thessaly +50% Greek_Thessaly @ 7.295632


Using 3 populations approximation:
1 50% Bulgarian +25% Central_Greek +25% Sardinian @ 3.237620


Using 4 populations approximation:
 
In terms of HarappaWorld GedMatch.

Europeans# of samplesS-IndianBalochCaucasianNE-EuroSE-AsianSiberianNE-AsianPapuanAmericanBeringianMediterraneanSW-AsianSanE-AfricanPygmyW-African
russianbehar1%4%13%64%1%3%0%1%1%1%13%0%0%0%0%0%
belorussianbehar1%5%10%64%1%1%0%0%0%0%16%1%0%0%0%0%
ukranianyunusbayev1%6%12%58%0%1%0%0%0%0%17%2%0%0%0%0%
PolandLeBrok1710571100002210000
slovenianxing1%6%15%51%0%0%0%0%0%0%23%3%0%0%0%0
hungarianbehar0%7%15%49%0%1%0%0%0%0%24%3%0%0%0%0%
NetherlandsNortherner096550001002900000
Italy, NE70720340000003160000
Italy, NW50620330000003460000
Italy, Tuscany40725280000003280000
Italy, South508321700000027130100
Sicily509321800000027120100
Sardinia 200231700000048110000
Macedoniaselectivememri0625350100012570000
Albania20630260000002980000
Greek, mainland306322500000026110000
Greek, Islands, East509381400100023140000
Cyprus411044610000020170000
Ashkenazy?15341900100024140100
Turkey411544110430011190000
 
Bump

Does this Mr Douglas examine 23andme data or Gedmatch charts?

I don't really understand my results. I'm northern Gheg Albanian yet I plot closely with Tuscans and Greeks. Mainly northern Greece and Thessaly.

My father moreso to Thessaly and Greece.


My k36 plot put me off the coast of Spain right in the water. Lol.

For instance here are some gedmatch tests.

This first one. Like idk what to make of it.

Harrapaworld



Admix Results (sorted):

# Population Percent
1 Caucasian 30.35
2 Mediterranean 29.62
3 NE-Euro 26.52
4 SW-Asian 8.05
5 Baloch 4.61


Finished reading population data. 377 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 tuscan @ 3.845267
2 tuscan @ 4.297274
3 tuscan @ 4.908243
4 ashkenazi @ 11.336257
5 italian @ 11.732196
6 bulgarian @ 11.873545
7 romanian-a @ 12.964595
8 ashkenazy-jew @ 14.762963
9 serbian @ 19.669205
10 sephardic-jew @ 21.573978
11 morocco-jew @ 22.207796
12 turk-aydin @ 23.762938
13 spaniard @ 25.116476
14 spaniard @ 26.094967
15 french @ 27.884296
16 hungarian @ 28.513508
17 puerto-rican @ 30.215263
18 slovenian @ 30.218838
19 romanian-b @ 31.005081
20 turk-istanbul @ 31.084003

Using 2 populations approximation:
1 50% ashkenazi +50% italian @ 3.838477


Using 3 populations approximation:
1 50% bulgarian +25% druze +25% spain-basc @ 2.799596


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 druze + hungarian + sardinian + serbian @ 1.700702
2 bulgarian + tuscan + tuscan + tuscan @ 1.862400
3 druze + sardinian + serbian + slovenian @ 1.874568
4 ashkenazi + bulgarian + tuscan + tuscan @ 1.900886
5 belorussian + druze + sardinian + tuscan @ 1.987812
6 druze + russian + sardinian + tuscan @ 2.003435
7 belorussian + druze + sardinian + tuscan @ 2.004911
8 ashkenazi + bulgarian + tuscan + tuscan @ 2.011636
9 belorussian + druze + sardinian + tuscan @ 2.032527
10 bulgarian + tuscan + tuscan + tuscan @ 2.036038
11 druze + russian + sardinian + tuscan @ 2.089630
12 ashkenazi + bulgarian + tuscan + tuscan @ 2.090878
13 druze + romanian-a + sardinian + slovenian @ 2.127053
14 ashkenazi + bulgarian + tuscan + tuscan @ 2.138832
15 bulgarian + cypriot + italian + italian @ 2.140115
16 bulgarian + druze + sardinian + slovenian @ 2.161041
17 bulgarian + tuscan + tuscan + tuscan @ 2.180578
18 druze + russian + sardinian + tuscan @ 2.200967
19 bulgarian + tuscan + tuscan + tuscan @ 2.223606
20 ashkenazi + bulgarian + tuscan + tuscan @ 2.230394

Done.

Elapsed time 2.7817 seconds.



MDLP K16 2xOracle and OracleX4

Admix Results (sorted):

# Population Percent
1 Caucasian 34.02
2 Neolithic 32.28
3 NorthEastEuropean 15.52
4 Steppe 15.43
5 NearEast 2.26


Finished reading population data. 516 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Italian @ 4.375938
2 Kosovar @ 4.947197
3 Greek @ 6.314175
4 Albanian @ 6.578762
5 Italian @ 7.174864
6 Greek @ 7.410804
7 Italian @ 7.430727
8 Macedonian @ 8.117078
9 Corsican @ 8.431943
10 Bulgarian @ 8.542656
11 Greek @ 8.922658
12 Gagauz @ 9.098313
13 Bulgarian @ 9.167999
14 Italian @ 9.309483
15 Romanian @ 9.652543
16 Montenegrian @ 9.747671
17 Italian @ 9.763817
18 Romanian @ 10.264160
19 Serbian @ 10.617203
20 Romanian @ 10.805533

Using 2 populations approximation:
1 50% Greek +50% Italian @ 3.249501


Using 3 populations approximation:
1 50% Greek +25% Italian +25% Italian @ 3.249501




Kit Num: M635564

Feel free to run my kit.

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 West_Med 27.15
2 East_Med 24.54
3 North_Atlantic 19.43
4 Baltic 16.81
5 West_Asian 10.55
6 Red_Sea 1.52


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

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

Least-squares method.

Using 1 population approximation:
1 Greek_Thessaly @ 7.295632
2 Tuscan @ 11.345535
3 Central_Greek @ 11.814044
4 West_Sicilian @ 11.846689
5 Italian_Abruzzo @ 12.700343
6 Bulgarian @ 12.873500
7 East_Sicilian @ 13.000627
8 North_Italian @ 14.683453
9 Romanian @ 15.138682
10 South_Italian @ 15.256856
11 Ashkenazi @ 16.222134
12 Serbian @ 19.495905
13 Algerian_Jewish @ 21.132277
14 Italian_Jewish @ 21.806252
15 Sephardic_Jewish @ 22.578613
16 Portuguese @ 24.181244
17 Spanish_Extremadura @ 24.213604
18 Spanish_Andalucia @ 24.910484
19 Spanish_Galicia @ 25.158728
20 Spanish_Valencia @ 25.589027

Using 2 populations approximation:
1 50% Greek_Thessaly +50% Greek_Thessaly @ 7.295632


Using 3 populations approximation:
1 50% Bulgarian +25% Central_Greek +25% Sardinian @ 3.237620


Using 4 populations approximation:

If an Admixture run doesn't include a reference sample for your ethnicity, in your case Gheg Albanian, then the algorithm will look for the next best match.

It's not unusual for Albanians to get Tuscans and/or Thessaly as their best match if there is no Albanian reference sample. In a run I saw which didn't have either a North Italy or Tuscan sample, I got Bulgarian and then Albanian as my best matches.

That's all it means. It doesn't mean you're Tuscan or Greek. It just means Albanians are pretty close to them.
 
If an Admixture run doesn't include a reference sample for your ethnicity, in your case Gheg Albanian, then the algorithm will look for the next best match.

It's not unusual for Albanians to get Tuscans and/or Thessaly as their best match if there is no Albanian reference sample. In a run I saw which didn't have either a North Italy or Tuscan sample, I got Bulgarian and then Albanian as my best matches.

That's all it means. It doesn't mean you're Tuscan or Greek. It just means Albanians are pretty close to them.

Ahh. I see. Thank you for the clarification.
 

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