Autosomal map : Mediterranean admixture (from Dodecad)

#PopulationPercent
1Mediterranean34.3
2West_Asian27.99
3West_European17.68
4Southwest_Asian10.69
5East_European4.81
6Northwest_African2.81
7Neo_African0.63

#Population (source)Distance
1Ashkenazi (Dodecad)4.18
2Ashkenazy_Jews (Behar)4.76
3Morocco_Jews (Behar)8.54
4S_Italian_Sicilian (Dodecad)10.48
5C_Italian (Dodecad)12.04
6S_Italian (Dodecad)12.88
7Greek (Dodecad)12.91
8Sicilian (Dodecad)12.95
9Sephardic_Jews (Behar)13.39
10O_Italian (Dodecad)13.9
11Tuscan (Xing)14.08
12TSI (HapMap)14.85
13Tuscan (Henn)15.02
14Turkish (Dodecad)16.7
15Tuscan (HGDP)18.17

Using 4 populations approximation:
1 Armenians_16 + Sephardic_Jews + Sephardic_Jews + N._European @ 1.849716
2 Armenians_16 + German + Sephardic_Jews + Sephardic_Jews @ 1.861409
3 Armenian + German + Sephardic_Jews + Sephardic_Jews @ 1.941576
4 Armenian + Sephardic_Jews + Sephardic_Jews + N._European @ 2.018164
5 Armenian + Sephardic_Jews + Sephardic_Jews + Argyll @ 2.155078
6 Armenians_16 + CEU + Sephardic_Jews + Sephardic_Jews @ 2.175092
7 Armenians_16 + Sephardic_Jews + Sephardic_Jews + Argyll @ 2.201028
8 Ashkenazi + Morocco_Jews + TSI + Turkish @ 2.229323
9 Ashkenazy_Jews + Morocco_Jews + TSI + Turkish @ 2.257721
10 Armenian + CEU + Sephardic_Jews + Sephardic_Jews @ 2.264643
11 Ashkenazi + Morocco_Jews + Turkish + Tuscan @ 2.338351
12 Ashkenazy_Jews + Ashkenazy_Jews + Assyrian + N_Italian @ 2.338849
13 Armenians_16 + Orcadian + Sephardic_Jews + Sephardic_Jews @ 2.367444
14 Armenian + French + Greek + Palestinian @ 2.371409
15 Armenians_16 + Orkney + Sephardic_Jews + Sephardic_Jews @ 2.373824
16 Ashkenazi + Morocco_Jews + Turkish + Tuscan @ 2.385565
17 Ashkenazy_Jews + Morocco_Jews + Turkish + Tuscan @ 2.392817
18 Cypriots + French + Morocco_Jews + Turks @ 2.426138
19 Ashkenazy_Jews + Morocco_Jews + Turkish + Tuscan @ 2.441977
20 Armenian + Orcadian + Sephardic_Jews + Sephardic_Jews @ 2.443026

Now that you've done so many, which one gives you the best fits?
 
Admix Results (sorted):


# Population Percent
1 Mediterranean 31.37
2 West_European 24.81
3 West_Asian 22.11
4 Southwest_Asian 10.52
5 East_European 8.11
6 Northwest_African 1.54
7 South_Asian 1.15




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


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


Least-squares method.


Using 1 population approximation:
1 Ashkenazy_Jews @ 7.046566
2 Ashkenazi @ 8.798317
3 Tuscan @ 9.340907
4 Tuscan @ 10.314009
5 TSI @ 10.633063
6 O_Italian @ 13.250822
7 C_Italian @ 15.191481
8 Morocco_Jews @ 15.911724
9 S_Italian_Sicilian @ 17.478785
10 Romanians_14 @ 18.492083
11 Greek @ 18.493767
12 Tuscan @ 18.780405
13 Sicilian @ 19.891289
14 N_Italian @ 20.192476
15 S_Italian @ 21.152630
16 Sephardic_Jews @ 21.979015
17 Balkans @ 23.479164
18 North_Italian @ 24.715025
19 Stalskoe @ 25.281397
20 Turkish @ 26.534128


Using 2 populations approximation:
1 50% Cypriots +50% N._European @ 4.026691




Using 3 populations approximation:
1 50% Greek +25% Norwegian +25% Syrians @ 1.747165




Using 4 populations approximation:
1 Cypriots + French + Georgia_Jews + Slovenian @ 1.032320
2 Georgia_Jews + Mixed_Germanic + Romanians_14 + Sephardic_Jews @ 1.092663
3 Georgia_Jews + Kent + Romanians_14 + Sephardic_Jews @ 1.094614
4 Dutch + Georgia_Jews + Romanians_14 + Sephardic_Jews @ 1.101209
5 Cypriots + French + Georgia_Jews + Slovenian @ 1.140119
6 Iraq_Jews + Tuscan + Slovenian + Tuscan @ 1.186475
7 Balkans + Cornwall + Iraq_Jews + Sephardic_Jews @ 1.239372
8 Iraq_Jews + Slovenian + Tuscan + Tuscan @ 1.277937
9 Balkans + Iraq_Jews + Kent + Sephardic_Jews @ 1.282583
10 British_Isles + Iraq_Jews + Romanians_14 + Sephardic_Jews @ 1.292782
11 Iraq_Jews + Tuscan + Tuscan + Slovenian @ 1.318040
12 Ashkenazi + French + Georgia_Jews + Romanians_14 @ 1.335380
13 Balkans + British + Iraq_Jews + Sephardic_Jews @ 1.339466
14 British_Isles + Georgia_Jews + Romanians_14 + Sephardic_Jews @ 1.340084
15 British + Georgia_Jews + Romanians_14 + Sephardic_Jews @ 1.387007
16 Balkans + British_Isles + Iraq_Jews + Sephardic_Jews @ 1.419597
17 Iraq_Jews + TSI + Slovenian + Tuscan @ 1.432325
18 Cornwall + Georgia_Jews + Romanians_14 + Sephardic_Jews @ 1.443631
19 Ashkenazy_Jews + French + Georgia_Jews + Romanians_14 @ 1.449065
20 Balkans + Dutch + Iraq_Jews + Sephardic_Jews @ 1.454222
 
I've got no idea.

Well, if you're interested, and you've saved the results, just check for the lowest Oracle number for your actual ancestry.

For example, in this run, your accuracy of "fit" number for Sicilian is 12.95. South Italian isn't much better. Now, Italians almost never get fits under 1 like some northern Europeans get, but the calculators should be able to do better than this.

FWIW, the best for me is MDLP, for the simple reason that it has numerous Northern Italian and Tuscan samples.
 
Well, if you're interested, and you've saved the results, just check for the lowest Oracle number for your actual ancestry.

For example, in this run, your accuracy of "fit" number for Sicilian is 12.95. South Italian isn't much better. Now, Italians almost never get fits under 1 like some northern Europeans get, but the calculators should be able to do better than this.

FWIW, the best for me is MDLP, for the simple reason that it has numerous Northern Italian and Tuscan samples.

So am I looking for the one which has the smallest number match to Sicilian on a single population?
 
So am I looking for the one which has the smallest number match to Sicilian on a single population?

Well, that's what I do...

For example, on this Dodecad run my best score is the N_Italian Dodecad group at 6.7. On MDLP 23b I get Piemonte at 4.7. The World 22 is worse.

I should add that MDLP isn't good for my husband at all, who is Southern Italian.

For him, I think I remember that Eurogenes K13 wasn't bad, and it wasn't terrible for me either. I think it was around 5 for both North Italian and Tuscan, which reflects my actual ancestry, which on other tests shows that I'm right between Bergamo and Firenze, leaning slightly toward Bergamo.

All this variation is one reason why I don't take these calculators all that seriously.
 
My Dodecad 12b results look pretty close to the mark:

Caucasus37.67
Atlantic_Med25.61
North_European13.81
Southwest_Asian10.26
Gedrosia7.38
Northwest_African3.67
East_African1.13
Sub_Saharan0.45


Single Population:
1Ashkenazy_Jews (Behar)5.36
2S_Italian_Sicilian (Dodecad)5.47
3Sicilian (Dodecad)5.56
4Ashkenazi (Dodecad)6.29
5Greek (Dodecad)7.95
6Sephardic_Jews (Behar)9.52
7C_Italian (Dodecad)10.89
8Morocco_Jews (Behar)12.75
9O_Italian (Dodecad)13.7
10Tuscan (HGDP)14.8


Using 4 populations approximation:
1 Abhkasians + North_Italian + Portuguese + Samaritians @ 1.351221
2 Abhkasians + Castilla_Y_Leon + N_Italian + Samaritians @ 1.517337
3 Abhkasians + Extremadura + North_Italian + Samaritians @ 1.523689
4 Abhkasians + Canarias + North_Italian + Samaritians @ 1.583644
5 Abhkasians + Castilla_Y_Leon + North_Italian + Samaritians @ 1.618618
6 Armenian + Bulgarians + Canarias + Cypriots @ 1.631697
7 Abhkasians + Galicia + North_Italian + Samaritians @ 1.683491
8 Abhkasians + Murcia + N_Italian + Samaritians @ 1.713063
9 Abhkasians + Canarias + N_Italian + Samaritians @ 1.717037
10 Armenians + Morocco_Jews + O_Italian + O_Italian @ 1.732806

That first 4 population mix is one of the lower numbers I return, if not the lowest.

Mind you, I had to look up what Abhkasian and Samaritian were! (which I take to be estimates of what is getting picked up from the Caucasus and Levant).


 
According to Wikipedia, only 777 Samaritans remain alive (which I assume is the same as Samaritian).
 
My Dodecad 12b results look pretty close to the mark:

Caucasus37.67
Atlantic_Med25.61
North_European13.81
Southwest_Asian10.26
Gedrosia7.38
Northwest_African3.67
East_African1.13
Sub_Saharan0.45


Single Population:
1Ashkenazy_Jews (Behar)5.36
2S_Italian_Sicilian (Dodecad)5.47
3Sicilian (Dodecad)5.56
4Ashkenazi (Dodecad)6.29
5Greek (Dodecad)7.95
6Sephardic_Jews (Behar)9.52
7C_Italian (Dodecad)10.89
8Morocco_Jews (Behar)12.75
9O_Italian (Dodecad)13.7
10Tuscan (HGDP)14.8


Using 4 populations approximation:
1 Abhkasians + North_Italian + Portuguese + Samaritians @ 1.351221
2 Abhkasians + Castilla_Y_Leon + N_Italian + Samaritians @ 1.517337
3 Abhkasians + Extremadura + North_Italian + Samaritians @ 1.523689
4 Abhkasians + Canarias + North_Italian + Samaritians @ 1.583644
5 Abhkasians + Castilla_Y_Leon + North_Italian + Samaritians @ 1.618618
6 Armenian + Bulgarians + Canarias + Cypriots @ 1.631697
7 Abhkasians + Galicia + North_Italian + Samaritians @ 1.683491
8 Abhkasians + Murcia + N_Italian + Samaritians @ 1.713063
9 Abhkasians + Canarias + N_Italian + Samaritians @ 1.717037
10 Armenians + Morocco_Jews + O_Italian + O_Italian @ 1.732806

That first 4 population mix is one of the lower numbers I return, if not the lowest.

Mind you, I had to look up what Abhkasian and Samaritian were! (which I take to be estimates of what is getting picked up from the Caucasus and Levant).



Thanks. I was interested to see if after all these years the Dodecad K12b was still among the best for Southern Italians, and I guess it is. It's good for my husband too.

For him too his closest matches are Ashkenazim, Greeks, and only then Central Italians.
 
Those results are strange altogether. I've never seen Ashkenazim score near Tuscans, or the Tuscan groups separated that way. They always appear as a cluster. Sicilians are never anywhere near Northern Italians either. As I said, there's always Ashkenazim, Greeks, then maybe Central Italians, and Northern Italians at a far remove.
 
Im 50% Campanian from Naples and Avellino, last name is Salerno (Y-DNA R1b-U152)

25% Scottish-English from New Brunswick (Mt-DNA J1c8)

12.5% Ashkenazim (Lithuania)

12.5% Sephardim (Istanbul)

Thats why my results are so strange.
 
Those results are strange altogether. I've never seen Ashkenazim score near Tuscans, or the Tuscan groups separated that way. They always appear as a cluster. Sicilians are never anywhere near Northern Italians either. As I said, there's always Ashkenazim, Greeks, then maybe Central Italians, and Northern Italians at a far remove.


That's even more strange, how many Tuscan samples are there in this calculator? I count 4.

Using 1 population approximation:
1 Ashkenazy_Jews @ 7.046566
2 Ashkenazi @ 8.798317
3 Tuscan @ 9.340907
4 Tuscan @ 10.314009
5 TSI @ 10.633063

6 O_Italian @ 13.250822
7 C_Italian @ 15.191481
8 Morocco_Jews @ 15.911724
9 S_Italian_Sicilian @ 17.478785
10 Romanians_14 @ 18.492083
11 Greek @ 18.493767
12 Tuscan @ 18.780405
13 Sicilian @ 19.891289
14 N_Italian @ 20.192476
15 S_Italian @ 21.152630
16 Sephardic_Jews @ 21.979015
17 Balkans @ 23.479164
18 North_Italian @ 24.715025
19 Stalskoe @ 25.281397
20 Turkish @ 26.534128

Im 50% Campanian from Naples and Avellino, last name is Salerno (Y-DNA R1b-U152)

25% Scottish-English from New Brunswick (Mt-DNA J1c8)

12.5% Ashkenazim (Lithuania)

12.5% Sephardim (Istanbul)

Thats why my results are so strange.


Indeed.
 
Well, admixed people certainly don't get "standard" results, but what usually happens is that you get totally "wrong" results that are a sort of genetic midpoint but have nothing to do with you.

Someone I share with who is 1/4 Northern Italian, 1/4 Ashkenazi and 1/2 British comes out as various northern Balkan nationalities or Central Europeans as the best fits. Someone half Chinese and half British might come up as Uigher, as another example. I've known half Sicilian/half Irish people come out as Northern Italian.

In your case, as you're half Neapolitan plus some Jewish mix I could see you come out as southern Italian maybe or Ashkenazi, but it seems odd that Tuscans would be so high on your list. Plus, why would the Tuscans be separated?

Still, those are the results apparently. As I said to Joey, I don't take these calculator results too much to heart, other than that they seem to get me "generally" right.

@Pax Augusta,
I only remember there being three Tuscan samples, but I'm wrong, obviously.
 
That's even more strange, how many Tuscan samples are there in this calculator? I count 4.

Using 1 population approximation:
1 Ashkenazy_Jews @ 7.046566
2 Ashkenazi @ 8.798317
3 Tuscan @ 9.340907
4 Tuscan @ 10.314009
5 TSI @ 10.633063

6 O_Italian @ 13.250822
7 C_Italian @ 15.191481
8 Morocco_Jews @ 15.911724
9 S_Italian_Sicilian @ 17.478785
10 Romanians_14 @ 18.492083
11 Greek @ 18.493767
12 Tuscan @ 18.780405
13 Sicilian @ 19.891289
14 N_Italian @ 20.192476
15 S_Italian @ 21.152630
16 Sephardic_Jews @ 21.979015
17 Balkans @ 23.479164
18 North_Italian @ 24.715025
19 Stalskoe @ 25.281397
20 Turkish @ 26.534128




Indeed.

I get in this old tester.............N_Italian followed by O_Italian

Dodecad ProjectJune 22, 2011 at 1:34 AM

O_Italian is Other Italian, and that is all due to a single individual that I am waiting to hear from to see whether he/she has any explanation for these results. I will also carry another data cleanup once I'm done with this, to detect submitted relatives or outliers that likely misreported their ancestry. This is part of the reason why I am not reporting raw averages at this time, as I have not cleaned up all the latest submissions.

Part of the (to be continued) involves visually inspecting the population portraits to catch outliers such as the one contributing the "Northeast Asian" in the O_Italian sample.

Using Eurogenes K13 ..........O_Italian for me is Moldovian ( it could have been austrian, slovenian etc )
Using this program
Using 1 population approximation:
1 North_Italian @ 6.561348
2 Tuscan @ 10.774459
3 Romanian @ 11.652096
4 Portuguese @ 12.593212
5 Bulgarian @ 12.972255
6 Serbian @ 13.157703

Using 4 populations approximation:
1 Moldavian + North_Italian + North_Italian + North_Italian @ 0.846187


Eurogenes K13 is an upgrade from Dodecad k12b (below)
Using 1 population approximation:
1 N_Italian @ 7.232117
2 O_Italian @ 10.282262
3 North_Italian @ 10.633726
4 TSI30 @ 12.199794
5 Tuscan @ 13.774434
6 C_Italian @ 16.037565
7 Romanians @ 16.207996
8 Baleares @ 16.422617
9 Galicia @ 17.024021
10 Bulgarian @ 17.031006

Although Dodecad was once good it has fallen away badly ...........best id Mdlp k23 ..............or his new ones K16 ( modern ) and K11 ( ancient )
 
^ I was wondering what O_Italian meant (to be honest, I'm not sure I still understand what it means).
 
Well personally I find it very odd I would match Jews, and then Tuscan, and than be so far off from South Italians. Jews are usually very Similar to Sicilians, and on most tests I get Greek, or Sicily or Abruzzo as result number 1.

I mean Moroccan Jew before North and South Italian, and in the middle of the Tuscan scores lol.
 
Last edited:
Does anyone know why Ashkenazi Jews plot so closely to Sicilians and Maltese?

It's true that Sicily had a significant Jewish population up to 1492, but it would only have been about 8% of the population at the most.

We must be talking about something which goes back into pre-history.

Anyone have any theories?
 
@Pax Augusta,
I only remember there being three Tuscan samples, but I'm wrong, obviously.

I've checked, I did not remember, but actually there are four Tuscan sample in Dodecad v3:

1) Tuscan (HGDP) the southern Tuscan sample from Stanford
2) Tuscan (HapMap) the HapMap3/1000 genomes sample who used the 3 out of 4 grandparents were born in Tuscany rule. A huge sample but likely with a significant number of outliers.
3) Tuscan (Henn) a subset of Tuscan (HapMap), 25% of the original sample
4) Tuscan (Xing) a subset of Tuscan (HapMap), 25% of the original sample

Practically the real sampe are two, HGDP and HapMap.


Well personally I find it very odd i would match Jews, and then Tuscan, and than be so far off from South Italians. .

These three are likely HapMap, Henn, Xing (all basically the same sample)

3 Tuscan @ 9.340907
4 Tuscan @ 10.314009
5 TSI @ 10.633063

while this is likely HGDP

12 Tuscan @ 18.780405

Actually you match as second, but at a very significant distance, with Tuscan (HapMap) but not with Tuscan (HGDP) which remains separate and even more distant. Very odd as well.
 
Well I figure I am matching Tuscan based off my Western European score, while I am matching Ashkenazim based on my West Asian, and South West Asian scores. I have far too much West European for a Southern Italian, but at the same time, I have far too much Middle Eastern for a Tuscan. That, along with my lower Med scores, I pull towards Ashkenazim, a bit more than Sicilians, but still farther from Northern Italians.

I would think I would have matched a Campanian, or Abruzzo sample if there were one.

If I did not have the Scottish ancestry, I think I would plot between Sicilians and Cypriots.
 

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