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Thread: Mytrueancestry.com

  1. #2601
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    Quote Originally Posted by Duarte View Post
    Hi friends.
    I think this tool of LM Genetics very cool to make a comparative analysis of the Eu K36 and MyTrueAncestry.com’s results. This is my ethnicity according to this tool, just to knowledge. I wish all a nice week.








    ... He made yours in 3D ... :)








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    Stuvane: I agree that explaining data with parsimonious models is always better than over specified models, all else equal, in my view.


    As for the G25 ancient results, really good how it models your ancestry. I also like, as you noted, how the G25 does try to capture EEF, Steppe, WHG and Iran_Neolithic and Levant Farmer. The only calculator that I have been able to run is the older Eurogenes Hunter Gather vs. Farmer calculator. Since this G25 as Iran Neolithic component being measured apart from Early_Levant Farmer, WHG (older Eurogenes only Baltic HG used to proxy for all HG), it seems more accurate and in line with what recent research has documented. Not even sure research had documented CHG when the original Eurogenes HG vs. Farmer was put together. Duarte posted some results from an ancient calculator but he suggested it to might have some issues like the Eurogenes HG vs. Farmer.

    I will confess I was not overly impressed with the earlier Eurogenes Calculators but the ones with the updated samples, both K13 and K15 are much better, as least for me. G25 from what I have seen seems to work reasonably well.

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    Quote Originally Posted by Salento View Post
    ... He made yours in 3D ... :)








    Hi @Salento. Good Morning.
    3D is really cool. The visual effect is fun. But I believe that in 2D the visualization is clearer, at least for me. My brain probably doesn't handle 3D very well, lol.

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    Quote Originally Posted by Stuvanè View Post
    I'm in a position to always take the results of the G25 with a grain of salt, since it's incomplete with samples in my area.
    So the autosomal proximity begins to wander between Liguria, Lombardy/Bergamo, Piedmont, Tuscany and the combinations become rather exotic assemblies (on balance a little better the k36-like G25 model compared to the G25 Modern Averages scaled)

    G25 average scaled

    Distance to: G25Stuvanè_scaled


    0.02559946 Italian_Liguria
    0.02578946 Italian_Lombardy
    0.02784830 Italian_Piedmont
    0.02890115 Greek_Thessaly
    0.03085707 Italian_Marche
    0.03108708 Italian_Tuscany
    0.03117244 Italian_Bergamo
    0.03395817 Swiss_Italian
    0.03488089 Albanian
    0.03593146 Italian_Veneto
    0.03611197 French_Corsica
    0.03679646 Italian_Trentino-Alto-Adige
    0.03723127 Italian_Lazio
    0.03774512 Italian_Umbria
    0.03885696 Greek_Central_Macedonia
    0.04076855 Italian_Abruzzo
    0.04101491 Italian_Molise
    0.04173885 Italian_Northeast
    0.04317431 Gagauz
    0.04330361 Sicilian_West
    0.04422228 Italian_Apulia
    0.04518076 Spanish_Menorca
    0.04574888 Moldovan
    0.04611094 Spanish_Eivissa
    0.04625298 Sicilian_East

    Target: G25Stuvanè_scaled
    Distance: 1.8448% / 0.01844770


    60.6 Italian_Lombardy
    13.4 Italian_Liguria
    9.4 Sicilian_East
    6.4 Russian_Smolensk
    5.6 Greek_Trabzon
    4.6 Samaritan

    K36-like G25 Model


    Distance to: G25Stuvanè_scaled


    0.02559946 Italian:Italian_Liguria
    0.02578946 Italian:Italian_Lombardy
    0.03117244 Italian:Italian_Bergamo
    0.03136743 Italian:Italian_Tuscany
    0.03395817 Italian:Swiss_Italian
    0.03488089 Balkan:Albanian
    0.03674054 Balkan:Greek
    0.03723127 Italian:Italian_Lazio
    0.04317431 Balkan:Gagauz
    0.04805838 Ibérian_péninsula:Spanish_Andalucia
    0.04837068 Balkan:Bulgarian
    0.05128531 Balkan:Macedonian
    0.05384627 Ibérian_péninsula:Portuguese
    0.05487882 Ibérian_péninsula:Spanish_Castilla_Y_Leon
    0.06261084 France:French_Occitanie
    0.06261084 Ibérian_péninsula:French_Occitanie
    0.06501205 Ibérian_péninsula:Spanish_Canarias
    0.06582162 Balkan:Greek_Crete
    0.06834854 France:French_South
    0.07114461 France:French_Paris
    0.07202104 Ibérian_péninsula:Spanish_Pais_Vasco
    0.07309467 North_atlantic:Belgian
    0.07718567 Central_European:Austrian
    0.08184306 Basque:BAS33
    0.08337047 Eastern_Europe:Hungarian

    Target: G25Stuvanè_scaled
    Distance: 1.7589% / 0.01758910


    67.8 Italian
    19.6 East_Mediterranean
    8.6 Eastern_Europe
    2.0 North_Sea
    2.0 West_Mediterranean
    Stuvane, I can't do the G25 because I don't have the coordinates.

    I don't get what you mean by the K36 G25 like model.

    These are my K36 results from yDNA portal. Those northern Appennini between my father's people and my mother's people, one highly drifted, the other drifted, was quite some barrier for the small distance as the crow flies; of course, the actual route was torturous.

    Closest population distances

    Population Distance
    SZ36_north-Italian 1.077892
    Niederstotzingen_north-Italian_3c 1.327634
    CL36_north-Italian 1.36235
    SZ19_Italian-Balkan 1.408242
    SZ32_north-Italian 1.579661
    SZ40_Italian 1.664666
    CL94_Iberian 1.832403
    BA_I9041_Mycenaean 1.835203




    Population percentages



    SZ36_north-ItalianNiederstotzingen_north-…SZ19_Italian-BalkanBA_I9041_MycenaeanSZ40_ItalianCL94_IberianI3 578_EMA_AndalusiaBA_Hungary_RISE374BA_Hungary_RISE 247
    1/2



    34.8%

    10%
















    5.6%


    17.4%

    17.6%
    Population Percentage
    SZ36_north-Italian 34.8
    Niederstotzingen_north-Italian_3c 17.6
    SZ19_Italian-Balkan 17.4
    BA_I9041_Mycenaean 5.6
    SZ40_Italian 3.2
    CL94_Iberian 3
    I3578_EMA_Andalusia 2.2
    BA_Hungary_RISE374 2
    BA_Hungary_RISE247 1.4
    BA_Hungary_RISE483 1.4
    I1979_Beaker_North_Italy 1.4
    Populations under 1% 10










    Population Value
    SZ36_north-Italian 34.8
    Niederstotzingen_north-Italian_3c 17.6
    SZ19_Italian-Balkan 17.4
    BA_I9041_Mycenaean 5.6
    SZ40_Italian 3.2
    CL94_Iberian 3
    I3578_EMA_Andalusia 2.2
    BA_Hungary_RISE374 2
    BA_Hungary_RISE247 1.4
    BA_Hungary_RISE483 1.4
    I1979_Beaker_North_Italy 1.4
    EMA_Italian_STR_502 1
    EMA_north-Italian_FN_2 1
    SZ32_north-Italian 1
    Visigoth_south-Euro_mixed_I12031 1
    MN_Germany_I0559 0.8
    N_Levant__AinGhazal3 0.8
    BA_Hungary_RISE480 0.6
    CL57_north-Italian 0.6
    LBA_Armenia_RISE397 0.6
    BA_I9006_Mycenean 0.4
    N_Germany_I0048 0.4
    N_Hungary_NE4 0.4
    BA_Hungary_RISE484 0.2
    BA_I0070_Minoan 0.2
    BA_I9033_Mycenaean 0.2
    CL23_north-Italian 0.2
    CL36_north-Italian 0.2
    LBA_Armenia_RISE396 0.2
    LBK_Germany_I0054 0.2


    I still can't be modeled without some pretty significant really old sources.


    Non si fa il proprio dovere perchè qualcuno ci dica grazie, lo si fa per principio, per se stessi, per la propria dignità. Oriana Fallaci

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    Quote Originally Posted by Palermo Trapani View Post
    Stuvane: I agree that explaining data with parsimonious models is always better than over specified models, all else equal, in my view.


    As for the G25 ancient results, really good how it models your ancestry. I also like, as you noted, how the G25 does try to capture EEF, Steppe, WHG and Iran_Neolithic and Levant Farmer. The only calculator that I have been able to run is the older Eurogenes Hunter Gather vs. Farmer calculator. Since this G25 as Iran Neolithic component being measured apart from Early_Levant Farmer, WHG (older Eurogenes only Baltic HG used to proxy for all HG), it seems more accurate and in line with what recent research has documented. Not even sure research had documented CHG when the original Eurogenes HG vs. Farmer was put together. Duarte posted some results from an ancient calculator but he suggested it to might have some issues like the Eurogenes HG vs. Farmer.

    I will confess I was not overly impressed with the earlier Eurogenes Calculators but the ones with the updated samples, both K13 and K15 are much better, as least for me. G25 from what I have seen seems to work reasonably well.
    @Palermo,


    for those who haven't their own G25 coordinates, the only Gedmatch calculators in some way approaching - IMO - the tools tracking down the ancestral prehistoric components, are those of puntDNAL and GedrosiaDNA. Their limit is that they seem to be highly calibrated on the populations of the Aegean, the southern Balkans, and the Caucasus / Iran ... It may be that in your case, being of Sicilian roots, they give more precise results (in their oracle I come immediately classified as Albanian. It shows the inverse problem to Eurogenes, which sometimes excessively "nordicises" "the components). But the ancestral quotes in pie seem plausible to me :)

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    Quote Originally Posted by Angela View Post
    Stuvane, I can't do the G25 because I don't have the coordinates.

    I don't get what you mean by the K36 G25 like model.

    These are my K36 results from yDNA portal. Those northern Appennini between my father's people and my mother's people, one highly drifted, the other drifted, was quite some barrier for the small distance as the crow flies; of course, the actual route was torturous.

    Closest population distances

    Population Distance
    SZ36_north-Italian 1.077892
    Niederstotzingen_north-Italian_3c 1.327634
    CL36_north-Italian 1.36235
    SZ19_Italian-Balkan 1.408242
    SZ32_north-Italian 1.579661
    SZ40_Italian 1.664666
    CL94_Iberian 1.832403
    BA_I9041_Mycenaean 1.835203




    Population percentages



    SZ36_north-ItalianNiederstotzingen_north-…SZ19_Italian-BalkanBA_I9041_MycenaeanSZ40_ItalianCL94_IberianI3 578_EMA_AndalusiaBA_Hungary_RISE374BA_Hungary_RISE 247
    1/2



    34.8%

    10%
















    5.6%


    17.4%

    17.6%
    Population Percentage
    SZ36_north-Italian 34.8
    Niederstotzingen_north-Italian_3c 17.6
    SZ19_Italian-Balkan 17.4
    BA_I9041_Mycenaean 5.6
    SZ40_Italian 3.2
    CL94_Iberian 3
    I3578_EMA_Andalusia 2.2
    BA_Hungary_RISE374 2
    BA_Hungary_RISE247 1.4
    BA_Hungary_RISE483 1.4
    I1979_Beaker_North_Italy 1.4
    Populations under 1% 10










    Population Value
    SZ36_north-Italian 34.8
    Niederstotzingen_north-Italian_3c 17.6
    SZ19_Italian-Balkan 17.4
    BA_I9041_Mycenaean 5.6
    SZ40_Italian 3.2
    CL94_Iberian 3
    I3578_EMA_Andalusia 2.2
    BA_Hungary_RISE374 2
    BA_Hungary_RISE247 1.4
    BA_Hungary_RISE483 1.4
    I1979_Beaker_North_Italy 1.4
    EMA_Italian_STR_502 1
    EMA_north-Italian_FN_2 1
    SZ32_north-Italian 1
    Visigoth_south-Euro_mixed_I12031 1
    MN_Germany_I0559 0.8
    N_Levant__AinGhazal3 0.8
    BA_Hungary_RISE480 0.6
    CL57_north-Italian 0.6
    LBA_Armenia_RISE397 0.6
    BA_I9006_Mycenean 0.4
    N_Germany_I0048 0.4
    N_Hungary_NE4 0.4
    BA_Hungary_RISE484 0.2
    BA_I0070_Minoan 0.2
    BA_I9033_Mycenaean 0.2
    CL23_north-Italian 0.2
    CL36_north-Italian 0.2
    LBA_Armenia_RISE396 0.2
    LBK_Germany_I0054 0.2


    I still can't be modeled without some pretty significant really old sources.
    Angela,


    good question: it's one of the unofficial G25 calculators offered on Vahaduo. I hypothesize that it "simulates" the results of the K36-based oracles, but I haven't enough information to specify or confirm it.


    Maybe @mlukas can clarify it better

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    Quote Originally Posted by Palermo Trapani View Post
    Salento: Have you run the individual samples yet and compared it to your Dodecad 12B modern. I think there are like 15 different samples from Apulia in the G25 Individual. I don't know which regions of Puglia they are from. There are 6 samples from Sicily in that same spreadsheet, and again, not sure where they are from other than 3 of West and 3 are East.
    I ran all the G25 Apulian’s at once, and non of them matched exactly my Dod K12 results.
    A couple of them were close, so I’m just gonna stick with the default average Apulian, even though I’m not average, LOL :)

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    The line between my Roman and my Hellenic Roman is very thin

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    Quote Originally Posted by bigsnake49 View Post
    I just went by the general areas on the map where you have a score of 79. All those areas I mentioned are close to the places on the map you have a score of 79. It just so happens that those areas had scores of Venetian castles. So what I'm joking about is that maybe you had an ancestor in the employ of the Venetians that left their progeny in those places.
    I see, so in your opinion my Great Grandpà was the Bastard son of a Venetian, LOL

    ... that actually could explain why Torzio and I have the same final y haplogroup, but I don’t think so

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    Quote Originally Posted by Stuvanè View Post
    @Palermo,


    for those who haven't their own G25 coordinates, the only Gedmatch calculators in some way approaching - IMO - the tools tracking down the ancestral prehistoric components, are those of puntDNAL and GedrosiaDNA. Their limit is that they seem to be highly calibrated on the populations of the Aegean, the southern Balkans, and the Caucasus / Iran ... It may be that in your case, being of Sicilian roots, they give more precise results (in their oracle I come immediately classified as Albanian. It shows the inverse problem to Eurogenes, which sometimes excessively "nordicises" "the components). But the ancestral quotes in pie seem plausible to me :)
    Ok, I am not to sure off the top of my head about those 2 calculators. I will take a look at them and compare them to Dodecad 12b updated and Eurogenes K13/K15 updated, and MDLP, all which put me in the correct Area code(s).

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    Quote Originally Posted by Salento View Post
    I ran all the G25 Apulian’s at once, and non of them matched exactly my Dod K12 results.
    A couple of them were close, so I’m just gonna stick with the default average Apulian, even though I’m not average, LOL :)
    Got it, you like Lake Wobegon your definitely above Average (Not sure that show is on any longer)

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    Quote Originally Posted by Salento View Post
    I see, so in your opinion my Great Grandpà was the Bastard son of a Venetian, LOL

    ... that actually could explain why Torzio and I have the same final y haplogroup, but I don’t think so
    I was thinking he was more like a Casanova while working for the Venetians. So you might have bastard cousins in the Greek Islands .

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    Quote Originally Posted by Salento View Post
    I see, so in your opinion my Great Grandpà was the Bastard son of a Venetian, LOL

    ... that actually could explain why Torzio and I have the same final y haplogroup, but I don’t think so
    @Salento.
    When I started here at Eupedia I believed to to have a bastard ancestral (one or more then one). 600,000 Portuguese arrived in the Captaincy of Minas Gerais in the middle of the 18th century, the largest European immigration to the Americas in colonial times. They arrived to organize the administration and definitively submit the Captaincy of Minas Gerais to the control of the Portuguese Crown. It was the gold rush. A few adventurers from other European countries also came. There weren't many, but they were there. Colonial America: I believe in all possibilities. But I believe that my autosomal DNA and my yDNA attest quite conclusively to a predominant ancestry of the northwest and northeast of the Iberian Peninsula. The possibility of a bastard ancestor in colonial Portuguese America, until proven otherwise, is ruled out.
    It will be?

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    ... who knows, maybe Great Grandma had a Secret ...

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    Quote Originally Posted by Salento View Post
    ... who knows, maybe Great Grandma had a Secret ...

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    Quote Originally Posted by Stuvanè View Post
    @Palermo,


    for those who haven't their own G25 coordinates, the only Gedmatch calculators in some way approaching - IMO - the tools tracking down the ancestral prehistoric components, are those of puntDNAL and GedrosiaDNA. Their limit is that they seem to be highly calibrated on the populations of the Aegean, the southern Balkans, and the Caucasus / Iran ... It may be that in your case, being of Sicilian roots, they give more precise results (in their oracle I come immediately classified as Albanian. It shows the inverse problem to Eurogenes, which sometimes excessively "nordicises" "the components). But the ancestral quotes in pie seem plausible to me :)
    They didn't work for me, putting me at huge distances to everyone except the Tuscans, and even that wasn't close.

    I just think I may come from two such highly drifted populations that none of them are going to be accurate.

    For my husband they were all over the place. Maybe his ancestors were inbred too. :) One made him Ashkenazi at a distance of about two or three. His partner and half his clients will be thrilled. :)

    This one was interesting too. Gedrosia K12b

    # Population (source) Distance
    1 Greek 2.81
    2 Sicilian 8.22

    Then they start going into the 20s.

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    Yeah PuntDNAL and Gedrosia did not work for me either. This is PuntDNAL K12 Modern:

    Using 1 population approximation:
    1 Bulgarian @ 6.579361
    2 Albanian @ 6.584054
    3 Greek @ 6.608196
    4 Tuscan @ 9.596664
    5 Ashkenazi_Jew @ 12.495791
    6 Croatian @ 13.182490

    K15:

    1 Greek_Thessaly @ 3.955226
    2 Albanian @ 5.979146
    3 Greek_Central @ 6.396861
    4 Montenegrin @ 6.585922
    5 Italian @ 7.025706
    6 Tuscan @ 7.075101
    7 Bulgarian @ 7.453342

    Gedrosia K12:

    1 Greek @ 9.984163
    2 Sicilian @ 15.655949
    3 Turks_Istanbul @ 17.612869
    4 Turks_Aydin @ 21.905449
    5 Turks_Balikesir @ 23.263041
    6 Turks_Adana @ 27.254744

    Obviously South Balkan but can't decide. Most probably a mix. Gedrosia introduces Turkish in the mix, granted at 17+

    @Angela, just like @Salento we will make into a Greek yet by hook or by crook (or by GedrosiaDNA
    )

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    1 members found this post helpful.
    Stuvane/Angela: My Gedrosia K12 did the same thing as Angela's. It give me Sicilian, then Greek, then #3 (Turkish_Constantinopile/Istanbul) at 19.73. Must confess not a fan of this calculator. Yes among the sample reference populations it puts me in Sicily, then Greece 2nd, but given 3rd place is almost 20, not enough reference populations. Punt DNA K12 Modern has more reference populations and it puts me in Sicily for 1 and 2, then Tuscan at about 7. Greek at 9.4 is relatively close to the Gedrosia distance of 10.3. So personally like the more broader set of reference samples in PuntDNA vs. Gedrosia

    Gedrosia K12

    Distance to: PalermoTrapni
    3.14070056 Sicilian
    10.39294953 Greek
    19.73122145 Turks_Istanbul

    PuntDNA K12 Modern
    Distance to: PalermoTrapani
    4.98024096 Sicilian_West
    6.25482214 Sicilian_East
    7.55068209 Tuscan
    7.59491935 Ashkenazi_Jew
    9.39536056 Turkish_Jew
    9.40227632 Greek
    10.34663230 Moroccan_Jew
    10.72719908 Albanian
    15.36856532 Libyan_Jew
    15.90574739 Italian_Bergamo
    16.52491452 Spanish_Canaries
    17.20676611 Tunisian_Jew
    17.85140891 Bulgarian
    18.16295130 Cypriot
    18.33774250 Spanish_Southwest
    18.98269738 Turkish_Aydin

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    2 members found this post helpful.
    @Angela
    @Palermo
    @Bigsnake


    But in fact I wouldnt't recommend puntDNAL and Gedrosia calculators for their modern oracles, which are evidently calibrated to examine mainly Middle Eastern populations. In fact, they tend to overestimate the Caucasian and Middle Eastern components.
    Mine is a rustic and rough method to simulate the G25 without too many pretensions: for people of European origin I'd say to dwell only on the ancestral percentages, in particular those of Anatolian_NF and European_HG detected by Puntdnal k12. Multiplying them by a coefficient of 1.5 you should find - at a guess - the EEF and Steppe values ​​proposed in some G25 tools (the residual difference to get 100% usually flows back into WHF, Extra-CHG, Levant_natufian ... )


    With all the necessary caveats, the models of the mixed more population sharing of PuntDNAL k12 ancient seem reasonable and quite acceptable: 60-65% or more of ancient European neolithic samples + ca. 35- 40% of Steppe (Poltavka/Yamnaya samples) seem to me to be fairly central values ​​in the case of northern Italians.
    Let me know if it works :)

    #PopulationPercent

    1 Anatolian_NF 39.51
    2 European_HG 25.59
    3 Caucasus_HG 24.45
    4 Near_East 9
    5 Siberian 1.45



    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 59.2% LBK_EN_I0054 + 40.8% Poltavka_I0440 @ 3.29
    2 57.7% Stuttgart_SG + 42.3% Poltavka_I0440 @ 3.33
    3 61.2% BattleAxe_Sweden_SG_RISE94 + 38.8% Starcevo_MN_I0174 @ 3.81
    4 57.6% LBK_EN_I0054 + 42.4% Yamnaya_Samara_I0443 @ 4
    5 62.4% Iceman_MN_SG + 37.6% Poltavka_I0440 @ 4.18
    6 60.4% LBK_EN_I0054 + 39.6% Yamnaya_Kalmykia_SG_RISE552 @ 4.21
    7 58.9% Stuttgart_SG + 41.1% Yamnaya_Kalmykia_SG_RISE552 @ 4.21
    8 61% Hungary_EN_I0495 + 39% Poltavka_I0440 @ 4.37
    9 59.2% Iberia_EN_I0412 + 40.8% Poltavka_I0440 @ 4.41
    10 59.9% LBK_EN_I0054 + 40.1% Yamnaya_Samara_I0231 @ 4.55
    11 59.7% BattleAxe_Sweden_SG_RISE94 + 40.3% LBK_EN_I0054 @ 4.65
    12 63.5% Iceman_MN_SG + 36.5% Yamnaya_Kalmykia_SG_RISE552 @ 4.65
    13 56.2% Stuttgart_SG + 43.8% Yamnaya_Samara_I0443 @ 4.66
    14 57.6% Starcevo_MN_I0174 + 42.4% Poltavka_I0440 @ 4.67
    15 56% Starcevo_MN_I0174 + 44% Yamnaya_Samara_I0443 @ 4.68
    16 60.2% LBK_EN_I0054 + 39.8% Afanasievo_SG_RISE511 @ 4.87
    17 52.5% Sintashta_MBA_RISE_386 + 47.5% Starcevo_MN_I0174 @ 4.92
    18 60.4% Iberia_EN_I0412 + 39.6% Yamnaya_Kalmykia_SG_RISE552 @ 4.93
    19 58.4% Stuttgart_SG + 41.6% Yamnaya_Samara_I0231 @ 4.94
    20 62.1% Hungary_EN_I0495 + 37.9% Yamnaya_Kalmykia_SG_RISE552 @ 5.09

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    Stuvane: Ok good tip, here are my Punt DNA Ancient Single (Otzi is first) and my oracle. Of the top of my head, I don't know what period all those samples are from. But you are correct, it does a good job. I would think that the ones in the top 10 here are reflecting samples from Neolithic EEF samples with some Caucus (Armenian) Neolithic/HG type ancestry. I would appreciate your input or input from anyone who has a really good grasp on all these samples. Otzi is the only one that I can from the top of my head really describe.
    Attached Images Attached Images
    Last edited by Palermo Trapani; 02-06-20 at 20:01.

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    Quote Originally Posted by Stuvanè View Post

    With all the necessary caveats, the models of the mixed more population sharing of PuntDNAL k12 ancient seem reasonable and quite acceptable: 60-65% or more of ancient European neolithic samples + ca. 35- 40% of Steppe (Poltavka/Yamnaya samples) seem to me to be fairly central values ​​in the case of northern Italians.
    Let me know if it works :)

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 59.2% LBK_EN_I0054 + 40.8% Poltavka_I0440 @ 3.29
    2 57.7% Stuttgart_SG + 42.3% Poltavka_I0440 @ 3.33
    3 61.2% BattleAxe_Sweden_SG_RISE94 + 38.8% Starcevo_MN_I0174 @ 3.81
    4 57.6% LBK_EN_I0054 + 42.4% Yamnaya_Samara_I0443 @ 4
    5 62.4% Iceman_MN_SG + 37.6% Poltavka_I0440 @ 4.18
    6 60.4% LBK_EN_I0054 + 39.6% Yamnaya_Kalmykia_SG_RISE552 @ 4.21
    7 58.9% Stuttgart_SG + 41.1% Yamnaya_Kalmykia_SG_RISE552 @ 4.21
    8 61% Hungary_EN_I0495 + 39% Poltavka_I0440 @ 4.37
    9 59.2% Iberia_EN_I0412 + 40.8% Poltavka_I0440 @ 4.41
    10 59.9% LBK_EN_I0054 + 40.1% Yamnaya_Samara_I0231 @ 4.55
    11 59.7% BattleAxe_Sweden_SG_RISE94 + 40.3% LBK_EN_I0054 @ 4.65
    12 63.5% Iceman_MN_SG + 36.5% Yamnaya_Kalmykia_SG_RISE552 @ 4.65
    13 56.2% Stuttgart_SG + 43.8% Yamnaya_Samara_I0443 @ 4.66
    14 57.6% Starcevo_MN_I0174 + 42.4% Poltavka_I0440 @ 4.67
    15 56% Starcevo_MN_I0174 + 44% Yamnaya_Samara_I0443 @ 4.68
    16 60.2% LBK_EN_I0054 + 39.8% Afanasievo_SG_RISE511 @ 4.87
    17 52.5% Sintashta_MBA_RISE_386 + 47.5% Starcevo_MN_I0174 @ 4.92
    18 60.4% Iberia_EN_I0412 + 39.6% Yamnaya_Kalmykia_SG_RISE552 @ 4.93
    19 58.4% Stuttgart_SG + 41.6% Yamnaya_Samara_I0231 @ 4.94
    20 62.1% Hungary_EN_I0495 + 37.9% Yamnaya_Kalmykia_SG_RISE552 @ 5.09
    Thank you @Stuvanè.
    In my case the distances in mixed mode with three or more populations are better.


    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 53% Iceman_MN_SG + 47% Corded_Ware_Estonia_RISE00 @ 6.19
    2 53.9% Hungary_CA_I1497 + 46.1% Srubnaya_I0430 @ 6.19
    3 58.8% Nordic_LN_SG_RISE97 + 41.2% Iceman_MN_SG @ 6.22
    4 60.3% Nordic_LN_SG_RISE97 + 39.7% Hungary_EN_I0495 @ 6.26
    5 62.5% Remedello_BA_SG_RISE489 + 37.5% Afanasievo_SG_RISE511 @ 6.33
    6 54.2% Hungary_EN_I0495 + 45.8% Srubnaya_I0232 @ 6.35
    7 64.9% Nordic_LN_SG_RISE97 + 35.1% Stuttgart_SG @ 6.36
    8 53.4% Corded_Ware_Estonia_RISE00 + 46.6% Stuttgart_SG @ 6.37
    9 58.8% Hungary_CA_I1497 + 41.2% Andronovo_SG_RISE505 @ 6.37
    10 62.9% Alberstedt_LN_I0118 + 37.1% Hungary_EN_I0495 @ 6.38
    11 57.3% Hungary_CA_I1497 + 42.7% Srubnaya_I0232 @ 6.39
    12 50.4% Potapovka_I0419 + 49.6% Hungary_EN_I0495 @ 6.4
    13 62.7% Nordic_LN_SG_RISE97 + 37.3% Iberia_EN_I0412 @ 6.41
    14 51.4% Hungary_EN_I0495 + 48.6% Corded_Ware_Estonia_RISE00 @ 6.42
    15 55.8% Iceman_MN_SG + 44.2% Srubnaya_I0232 @ 6.44
    16 55.7% Iceman_MN_SG + 44.3% Corded_Ware_Germany_I0103 @ 6.45
    17 61.4% Alberstedt_LN_I0118 + 38.6% Iceman_MN_SG @ 6.45
    18 59% Hungary_CA_I1497 + 41% Corded_Ware_Germany_I0104 @ 6.45
    19 57.2% Iceman_MN_SG + 42.8% Andronovo_SG_RISE505 @ 6.45
    20 64% Nordic_LN_SG_RISE97 + 36% LBK_EN_I0054 @ 6.46

    Least-squares method.

    Using 1 population approximation:
    1 Alberstedt_LN_I0118 @ 15.669842
    2 Nordic_LN_SG_RISE97 @ 17.196659
    3 Vatya_SG_RISE479 @ 17.624203
    4 Hungary_BA_I1502 @ 18.056623
    5 Halberstadt_LBA_I0099 @ 18.154741
    6 Unetice_EBA_I0117 @ 18.472549
    7 Bell_Beaker_Czech_RISE569 @ 20.571085
    8 Bell_Beaker_Germany_I1549 @ 21.105354
    9 BenzigerodeHeimburg_LN_I0059 @ 21.190073
    10 Hungary_CA_I1497 @ 22.445066
    11 Iceman_MN_SG @ 23.706524
    12 BattleAxe_Sweden_SG_RISE94 @ 23.946289
    13 Baalberge_MN_I0560 @ 24.363352
    14 Iberia_M_ I0406 @ 24.849651
    15 Potapovka_I0419 @ 24.862066
    16 Epserstedt_MN_I0172 @ 24.881733
    17 Hungary_EN_I0495 @ 25.209015
    18 Srubnaya_I0430 @ 26.081520
    19 Corded_Ware_Estonia_RISE00 @ 26.534245
    20 Iberia_EN_I0412 @ 27.564608

    Using 2 populations approximation:

    1 50% Potapovka_I0419 +50% Hungary_EN_I0495 @ 6.108054

    Using 3 populations approximation:
    1 50% Corded_Ware_Estonia_RISE00 +25% Iceman_MN_SG +25% LBK_EN_I0054 @ 5.978376

    Using 4 populations approximation:
    +++++++++++++++++++++++++++++++++++++++++++++++++
    1 Bichon + Iberia_EN_I0412 + Iberia_EN_I0412 + Armenian_MBA @ 5.854621
    2 Bichon + Iberia_EN_I0412 + Iberia_EN_I0412 + Armenian_MBA @ 5.854621
    3 Bell_Beaker_Germany_I1549 + Andronovo_SG_RISE505 + Iceman_MN_SG + Hungary_EN_I0495 @ 5.857054
    4 Andronovo_SG_RISE505 + Nordic_LN_SG_RISE97 + Hungary_CA_I1497 + Iceman_MN_SG @ 5.858821
    5 Corded_Ware_Estonia_RISE00 + Srubnaya_I0430 + Hungary_EN_I0495 + Hungary_EN_I0495 @ 5.872584
    6 Andronovo_SG_RISE505 + Nordic_LN_SG_RISE97 + Iceman_MN_SG + Hungary_EN_I0495 @ 5.873612
    7 Corded_Ware_Estonia_RISE00 + Srubnaya_I0430 + Iceman_MN_SG + Hungary_EN_I0495 @ 5.898738
    8 Bell_Beaker_Germany_I1549 + Andronovo_SG_RISE505 + Hungary_EN_I0495 + Hungary_EN_I0495 @ 5.899479
    9 Andronovo_SG_RISE505 + Alberstedt_LN_I0118 + Hungary_CA_I1497 + Iceman_MN_SG @ 5.915344
    10 Nordic_LN_SG_RISE97 + Srubnaya_I0430 + Hungary_CA_I1497 + Hungary_CA_I1497 @ 5.928813
    11 Afanasievo_SG_RISE511 + Hungary_BA_I1502 + Iceman_MN_SG + Stuttgart_SG @ 5.928930
    12 Bichon + Iceman_MN_SG + Iberia_EN_I0412 + Armenian_MBA @ 5.935550
    13 Bichon + Iceman_MN_SG + Iberia_EN_I0412 + Armenian_MBA @ 5.935550
    14 Andronovo_SG_RISE505 + Nordic_LN_SG_RISE97 + Iceman_MN_SG + Iceman_MN_SG @ 5.935812
    15 Andronovo_SG_RISE505 + Nordic_LN_SG_RISE97 + Hungary_CA_I1497 + Iberia_EN_I0412 @ 5.939023
    16 Andronovo_SG_RISE505 + Nordic_LN_SG_RISE97 + Hungary_CA_I1497 + Hungary_EN_I0495 @ 5.948110
    17 Nordic_LN_SG_RISE97 + Srubnaya_I0430 + Hungary_CA_I1497 + Iceman_MN_SG @ 5.949192
    18 Corded_Ware_Estonia_RISE00 + Potapovka_I0419 + Iceman_MN_SG + Hungary_EN_I0495 @ 5.956762
    19 Corded_Ware_Estonia_RISE00 + Srubnaya_I0430 + Hungary_CA_I1497 + Hungary_EN_I0495 @ 5.960017
    20 Corded_Ware_Estonia_RISE00 + Srubnaya_I0430 + Hungary_CA_I1497 + Stuttgart_SG @ 5.966040

    Done.

    Elapsed time 0.0582 seconds.

    1 Bichon + Iberia_EN_I0412 + Iberia_EN_I0412 + Armenian_MBA @ 5.854621

    WHG = Bichon
    EEF = Iberia_EN
    CHG = Armenian_MBA
    Last edited by Duarte; 02-06-20 at 19:43.

  22. #2622
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  23. #2623
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    1 members found this post helpful.
    imo, I often get inaccurate Gedmatch results, but I didn’t realize until now that Gedrosia K3 makes me 100% Spanish @ 0.000000 - ... Astonishing!

    How is that possible ??? ... Somehow they got my DNA and mislabeled it? ... my twin? my clone? a coincidence?

    But I knew that the Gedrosia Anc.Eurasia K6 makes me 100% Italian_South!
    weird, maybe somehow my RAW-Data is being used without my permission, maybe!


    Last edited by Salento; 02-06-20 at 21:46.

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    Quote Originally Posted by Salento View Post
    imo, I often get inaccurate Gedmatch results, but I didn’t realize until now that Gedrosia K3 makes me 100% Spanish @ 0.000000 - ... Astonishing!
    How is that possible ??? ... Somehow they got my DNA and mislabeled? ... my twin? my clone? a coincidence?
    But I knew that the Gedrosia Anc.Eurasia K6 makes me 100% Italian_South!
    weird, maybe somehow my RAW-Data is being used without my permission, ������ maybe!

    @Salento
    @ 0.000000. OMG!! lol. I believe that no Spaniard or Iberian would achieve this feat (unless you include your coordinates in the input data). Now you also could go on to consider the possibility to have many bastard ancestors considering the results of this algorithm combined with respective standard-spreadsheet of populations.

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    1 members found this post helpful.
    Quote Originally Posted by Duarte View Post
    @Salento
    @ 0.000000. OMG!! lol. I believe that no Spaniard or Iberian would achieve this feat (unless you include your coordinates in the input data). Now you also could go on to consider the possibility to have many bastard ancestors considering the results of this algorithm combined with respective standard-spreadsheet of populations.

    I should’ve been a Matador, ... or the King of Spain!

    .... very strange ... :)

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