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Thread: Eupedia Ancient Ethnicities Checker: reliably compare your DNA to ancient populations

  1. #376
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    5,725

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    I was using it more as a proxy for them, but it slipped my mind that there was already a cohort of Bronze Age Illyrians.

    Distance to: Jovialis
    3.47658786 63.40% Italian_Greeks_(n=2) + 36.60% Bronze_Age_Illyrians

    Which also gives me a pretty decent fit.




  2. #377
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    5,725

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    Here is another experiment, Latin_(n=4) as a cohort doesn't really work so well, but if I take the C7 samples individually, and compare them to the Italian_Greek_(n=2), my best fit is the R1 Proto-Villanovan, plus Italian_Greeks:

    Distance to: Jovialis
    2.93579138 61.80% Italian_Greeks_(n=2) + 38.20% C7_Iron_Age_European:R1_(Protovillanovan)_Martinsi curo
    3.16515237 68.20% Italian_Greeks_(n=2) + 31.80% C7_Iron_Age_European:R474_(Etruscan)_Civitavecchia
    3.47658786 63.40% Italian_Greeks_(n=2) + 36.60% Bronze_Age_Illyrians
    4.25373878 77.80% Italian_Greeks_(n=2) + 22.20% C7_Iron_Age_European:R435_(Latin_Prenestini_Tribe) _Palestrina_Colombella
    5.44255372 76.20% Italian_Greeks_(n=2) + 23.80% C7_Iron_Age_European:R1021_(Latini)_Boville_Ernica
    5.71478408 75.40% Italian_Greeks_(n=2) + 24.60% C7_Iron_Age_European:R1016_(Latini)_Castel_di_Deci ma
    5.89119191 75.80% Italian_Greeks_(n=2) + 24.20% C7_Iron_Age_European:R1015_(Villanovan)_Veio_Grott a_Gramiccia
    5.90933467 76.40% Italian_Greeks_(n=2) + 23.60% C7_Iron_Age_European:R473_(Etruscan)_Civitavecchia
    22.66355163 14.40% C7_Iron_Age_European:R1015_(Villanovan)_Veio_Grott a_Gramiccia + 85.60% C7_Iron_Age_European:R1016_(Latini)_Castel_di_Deci ma
    23.58053909 15.00% C7_Iron_Age_European:R1021_(Latini)_Boville_Ernica + 85.00% C7_Iron_Age_European:R473_(Etruscan)_Civitavecchia


    Distance to: Jovialis
    3.47658786 63.40% Italian_Greeks_(n=2) + 36.60% Bronze_Age_Illyrians
    5.12627195 23.60% Latins_(n=4) + 76.40% Italian_Greeks_(n=2)

  3. #378
    Regular Member torzio's Avatar
    Join Date
    10-05-19
    Location
    Australia
    Posts
    2,162

    Y-DNA haplogroup
    T1a2 - SK1480
    MtDNA haplogroup
    H95a

    Ethnic group
    North Italian
    Country: Australia



    Quote Originally Posted by Jovialis View Post
    I was using it more as a proxy for them, but it slipped my mind that there was already a cohort of Bronze Age Illyrians.

    Distance to: Jovialis
    3.47658786 63.40% Italian_Greeks_(n=2) + 36.60% Bronze_Age_Illyrians

    Which also gives me a pretty decent fit.



    ok

    I thought the MOK samples where Celts from the scordisci tribes in modern Serbia
    Fathers mtdna ...... T2b17
    Grandfather mtdna ... T1a1e
    Sons mtdna ...... K1a4p
    Mothers line ..... R1b-S8172
    Grandmother paternal side ... I1-CTS6397
    Wife paternal line ..... R1a-Z282

  4. #379
    Regular Member AlfonsoVIII's Avatar
    Join Date
    07-12-20
    Posts
    25

    Y-DNA haplogroup
    R1b-A8053 > FGC37100

    Ethnic group
    Castilian
    Country: Spain - Castilla & Leon



    1 members found this post helpful.
    Last time I apparently miscopied my coordinates from Dodecad K12b (I had 3.83 in Gedrosian and I copied 38.3), so here are my corrected and historical phased results.

    My Epipaleolithic to Chalcolithic results:

    3.75231455 45.40% Chalcolithic_Bulgaria_(n=9) + 54.60% Bell_Beaker_Bavaria/Saxony_(n=20)
    3.78252561 50.00% Chalcolithic_Bulgaria_(n=9) + 50.00% Bell_Beaker_Czechia_(n=15)
    3.78693548 37.20% Early_Neolithic_Greece_(n=3) + 62.80% Bell_Beaker_Gaul_(n=13)
    3.80000320 40.40% Pre-Pottery_Neolithic_Anatolia_(n=14) + 59.60% Bell_Beaker_Gaul_(n=13)
    3.85257730 59.60% LN_Lengyel_culture_(n=8) + 40.40% Western_Corded_Ware_(n=17)
    3.96628802 59.20% Chalcolithic_Bulgaria_(n=9) + 40.80% Battle-Axe_culture_(n=3)
    3.97770669 56.60% LN_Lengyel_culture_(n=8) + 43.40% Battle-Axe_culture_(n=3)
    4.05356271 61.00% Early_Neolithic_Starcevo_culture_(n=8) + 39.00% Battle-Axe_culture_(n=3)
    4.06488882 57.20% Early_Neolithic_Italy_(n=10) + 42.80% Western_Corded_Ware_(n=17)
    4.09453770 47.40% LN_Lengyel_culture_(n=8) + 52.60% Bell_Beaker_Czechia_(n=15)
    4.09568310 63.40% LN_Lengyel_culture_(n=8) + 36.60% Eastern_Corded_Ware_(n=14)
    4.13205650 47.40% Early_Neolithic_Starcevo_culture_(n=8) + 52.60% Bell_Beaker_Bavaria/Saxony_(n=20)
    4.18618547 43.00% LN_Lengyel_culture_(n=8) + 57.00% Bell_Beaker_Bavaria/Saxony_(n=20)
    4.20110927 63.80% Early_Neolithic_Starcevo_culture_(n=8) + 36.20% Western_Corded_Ware_(n=17)
    4.20816157 61.20% Early_Neolithic_Italy_(n=10) + 38.80% Eastern_Corded_Ware_(n=14)
    4.23479412 51.80% Early_Neolithic_Starcevo_culture_(n=8) + 48.20% Bell_Beaker_Czechia_(n=15)
    4.25048219 41.60% Pre-Pottery_Neolithic_Anatolia_(n=14) + 58.40% Bell_Beaker_Bavaria/Saxony_(n=20)
    4.29481458 44.60% EN_LBK_culture_(n=43) + 55.40% Bell_Beaker_Czechia_(n=15)
    4.30970617 59.20% Middle_Neolithic_Sicily_(n=10) + 40.80% Western_Corded_Ware_(n=17)
    4.31410843 51.60% Pre-Pottery_Neolithic_Anatolia_(n=14) + 48.40% Bell_Beaker_Britain_(n=27)
    4.33162185 57.80% Chalcolithic_Bulgaria_(n=9) + 42.20% Bell_Beaker_Netherlands_(n=7)
    4.37803375 28.00% Mesolithic_Volga-Ural_(n=2) + 72.00% Middle_Neolithic_Sicily_(n=10)
    4.38010901 69.00% Mesolithic_Anatolia_(AHG)_(n=1) + 31.00% Mesolithic_Volga-Ural_(n=2)
    4.39862655 67.40% Early_Neolithic_Starcevo_culture_(n=8) + 32.60% Eastern_Corded_Ware_(n=14)
    4.42069871 69.40% Mesolithic_Anatolia_(AHG)_(n=1) + 30.60% Mesolithic_Northwest_Russia_(n=4)

    My Bronze Age results:

    3.69892678 34.40% EBA_Fatyanovo_culture_(n=18) + 65.60% Bronze_Age_Sicily_(n=15)
    3.70903210 33.00% MBA_Sintashta_culture_(n=4) + 67.00% Bronze_Age_Sicily_(n=15)
    3.77971645 69.40% Bronze_Age_Sicily_(n=15) + 30.60% MBA_Andronovo_culture_(n=3)
    3.80373316 36.60% EBA_Unetice_culture_(n=18) + 63.40% Bronze_Age_Sicily_(n=15)
    4.19167329 41.60% Mycenaean_Greece_(n=4) + 58.40% Early_Bronze_Age_Swabia_(n=24)
    4.28979727 40.20% Early_Bronze_Age_Britain_(n=28) + 59.80% Bronze_Age_Sicily_(n=15)
    4.51133174 68.00% Bronze_Age_Sicily_(n=15) + 32.00% LBA_Srubna_culture_(n=27)
    4.67567160 51.80% Bronze_Age_Sicily_(n=15) + 48.20% Bronze_Age_Germany_(n=26)
    4.73441834 24.40% Early_Bronze_Age_Iberia_(n=7) + 75.60% Bronze_Age_Illyrians
    4.77972240 58.00% Bronze_Age_Sicily_(n=15) + 42.00% Middle-Late_Bronze_Age_Britain_(n=24)
    4.85860790 22.40% Middle_Bronze_Age_Portugal_(n=4) + 77.60% Bronze_Age_Illyrians
    4.94735275 76.00% Bronze_Age_Illyrians + 24.00% Iron_Age_Iberia_(n=22)
    4.96400229 77.00% Early_Bronze_Age_Southern_France_(n=5) + 23.00% Late_Bronze_Age_Israel_(n=3)
    4.98968584 23.40% Middle-Late_Bronze_Age_Spain_(n=38) + 76.60% Bronze_Age_Illyrians
    5.20105005 76.80% Early_Bronze_Age_Southern_France_(n=5) + 23.20% Middle-Late_Bronze_Age_North_Levant_(n=24)
    5.25318280 62.20% Early_Bronze_Age_Serbia_(n=23) + 37.80% Bronze_Age_Sicily_(n=15)
    5.32022138 45.20% Mycenaean_Greece_(n=4) + 54.80% Bronze_Age_Germany_(n=26)
    5.36969223 75.20% Bronze_Age_Sicily_(n=15) + 24.80% Bronze_Age_Estonia_(n=16)
    5.39224327 75.00% Bronze_Age_Sicily_(n=15) + 25.00% Baltic_Bronze_Age_(n=12)
    5.39920427 81.20% Middle_Late_Bronze_Age_Italy_(n=9) + 18.80% Middle_Bronze_Age_North_Caucasus_(n=7)
    5.50265755 36.40% Mycenaean_Greece_(n=4) + 63.60% Middle_Bronze_Age_North_Alps_(n=7)
    5.54669033 64.00% Bronze_Age_Sicily_(n=15) + 36.00% Nordic_Bronze_Age_(n=14)
    5.56511060 48.00% Bronze_Age_Sicily_(n=15) + 52.00% Early_Bronze_Age_Swabia_(n=24)
    5.69848076 78.20% Early_Bronze_Age_Southern_France_(n=5) + 21.80% Early-Middle_Bronze_Age_North_Levant_(n=9)
    5.74146372 42.80% Bronze_Age_Sicily_(n=15) + 57.20% Middle_Bronze_Age_North_Alps_(n=7)

    My Iron Age to Early Antiquity results:

    1.71392514 86.40% Etruscans_(n=3) + 13.60% Iron_Age_Norway_(n=6)
    1.81951873 84.60% Etruscans_(n=3) + 15.40% Iron_Age_Denmark_(n=10)
    1.90847586 85.80% Etruscans_(n=3) + 14.20% Iron_Age_Sweden_(n=4)
    1.92531244 81.80% Etruscans_(n=3) + 18.20% Iron_Age_Britons_(n=4)
    2.13076843 73.40% Etruscans_(n=3) + 26.60% Gauls_Belgae_(n=16)
    2.34414011 90.80% Etruscans_(n=3) + 9.20% Iron_Age_Estonia_(n=8)
    2.46325540 79.80% Etruscans_(n=3) + 20.20% Hallstatt_Celts_(n=2)
    2.90527643 89.60% Etruscans_(n=3) + 10.40% Iron_Age_Finland_(n=3)
    3.76144059 88.80% Etruscans_(n=3) + 11.20% Cimmerians_(n=6)
    3.76945599 90.40% Etruscans_(n=3) + 9.60% Sarmatians_(n=14)
    3.85399203 83.00% Etruscans_(n=3) + 17.00% Western_Scythians_(n=28)
    4.39026481 92.00% Etruscans_(n=3) + 8.00% Tian_Shan_Saka_(n=5)
    4.57913978 81.60% Villanovans_(n=2) + 18.40% Gauls_Belgae_(n=16)
    4.58630338 88.40% Villanovans_(n=2) + 11.60% Iron_Age_Britons_(n=4)
    4.58961455 91.00% Villanovans_(n=2) + 9.00% Iron_Age_Sweden_(n=4)
    4.64205221 90.40% Villanovans_(n=2) + 9.60% Iron_Age_Denmark_(n=10)
    4.75445056 47.00% Etruscans_(n=3) + 53.00% Villanovans_(n=2)
    4.75587380 93.20% Etruscans_(n=3) + 6.80% Eastern_Scythians_(n=12)
    4.85453695 92.60% Villanovans_(n=2) + 7.40% Iron_Age_Norway_(n=6)
    4.96130441 88.60% Villanovans_(n=2) + 11.40% Hallstatt_Celts_(n=2)
    5.01729475 94.60% Villanovans_(n=2) + 5.40% Iron_Age_Finland_(n=3)
    5.12472682 95.80% Villanovans_(n=2) + 4.20% Iron_Age_Estonia_(n=8)
    5.16186623 95.00% Villanovans_(n=2) + 5.00% Sarmatians_(n=14)
    5.17190770 94.20% Villanovans_(n=2) + 5.80% Cimmerians_(n=6)
    5.21852009 95.60% Villanovans_(n=2) + 4.40% Tian_Shan_Saka_(n=5)

    My Late Antiquity and Middle Ages results:

    2.25949731 24.80% Early_Medieval_Latium_(n=5) + 75.20% Medieval_Catalonia_Valencia_(n=9)
    2.46688564 21.20% Late_Antiquity_Latium_(n=24) + 78.80% Medieval_Catalonia_Valencia_(n=9)
    2.69018825 18.00% Medieval_Foggia_Apulia_(n=5) + 82.00% Medieval_Catalonia_Valencia_(n=9)
    2.82288635 16.60% 6th-century_Piedmont_(Italians_only)_(n=7) + 83.40% Medieval_Catalonia_Valencia_(n=9)
    2.91330331 26.80% Late_Medieval_Latium_(n=16) + 73.20% Medieval_Catalonia_Valencia_(n=9)
    3.62051025 18.60% Late_Medieval_Latium_(n=16) + 81.40% Roman_&_Visigothic_Iberia_(n=31)
    3.72648992 14.60% Early_Medieval_Latium_(n=5) + 85.40% Roman_&_Visigothic_Iberia_(n=31)
    3.83711855 93.60% Medieval_Catalonia_Valencia_(n=9) + 6.40% Caucasian_Alans_(n=2)
    3.93436407 61.00% Roman_&_Visigothic_Iberia_(n=31) + 39.00% Medieval_Catalonia_Valencia_(n=9)
    3.96211963 10.00% Late_Antiquity_Latium_(n=24) + 90.00% Roman_&_Visigothic_Iberia_(n=31)
    3.96588529 12.80% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24) + 87.20% Roman_&_Visigothic_Iberia_(n=31)
    4.07582860 7.00% Medieval_Foggia_Apulia_(n=5) + 93.00% Roman_&_Visigothic_Iberia_(n=31)
    4.13102400 5.60% 6th-century_Piedmont_(Italians_only)_(n=7) + 94.40% Roman_&_Visigothic_Iberia_(n=31)
    4.15489306 97.60% Roman_&_Visigothic_Iberia_(n=31) + 2.40% Caucasian_Alans_(n=2)
    4.18018092 97.60% Roman_&_Visigothic_Iberia_(n=31) + 2.40% Avars_(n=2)
    4.18940121 98.20% Roman_&_Visigothic_Iberia_(n=31) + 1.80% Early_Medieval_Czechs_(n=2)
    4.20506723 97.80% Roman_&_Visigothic_Iberia_(n=31) + 2.20% Vikings_from_Ukraine_(n=4)
    4.20862962 97.80% Roman_&_Visigothic_Iberia_(n=31) + 2.20% Vikings_from_Poland_(n=9)
    4.21148072 96.40% Roman_&_Visigothic_Iberia_(n=31) + 3.60% Ostrogoths_(n=3)
    4.23427556 97.80% Roman_&_Visigothic_Iberia_(n=31) + 2.20% Lombards_(n=28)
    4.23640703 97.80% Roman_&_Visigothic_Iberia_(n=31) + 2.20% Danish_Vikings_(n=21)
    4.24923215 98.60% Roman_&_Visigothic_Iberia_(n=31) + 1.40% Vikings_from_Russia_(n=15)
    4.25038665 98.20% Roman_&_Visigothic_Iberia_(n=31) + 1.80% Chernyakhiv_culture_Goths_(n=3)
    4.25605911 98.80% Roman_&_Visigothic_Iberia_(n=31) + 1.20% Swedish_Vikings_(n=23)
    4.25612965 99.20% Roman_&_Visigothic_Iberia_(n=31) + 0.80% Medieval_Estonia_(n=7)

  5. #380
    Regular Member AlfonsoVIII's Avatar
    Join Date
    07-12-20
    Posts
    25

    Y-DNA haplogroup
    R1b-A8053 > FGC37100

    Ethnic group
    Castilian
    Country: Spain - Castilla & Leon



    1 members found this post helpful.
    Last time I apparently miscopied my coordinates from Dodecad K12b (I had 3.83 in Gedrosian and I copied 38.3), so here are my corrected and historical phased results.

    My Epipaleolithic to Chalcolithic results:

    3.75231455 45.40% Chalcolithic_Bulgaria_(n=9) + 54.60% Bell_Beaker_Bavaria/Saxony_(n=20)
    3.78252561 50.00% Chalcolithic_Bulgaria_(n=9) + 50.00% Bell_Beaker_Czechia_(n=15)
    3.78693548 37.20% Early_Neolithic_Greece_(n=3) + 62.80% Bell_Beaker_Gaul_(n=13)
    3.80000320 40.40% Pre-Pottery_Neolithic_Anatolia_(n=14) + 59.60% Bell_Beaker_Gaul_(n=13)
    3.85257730 59.60% LN_Lengyel_culture_(n=8) + 40.40% Western_Corded_Ware_(n=17)
    3.96628802 59.20% Chalcolithic_Bulgaria_(n=9) + 40.80% Battle-Axe_culture_(n=3)
    3.97770669 56.60% LN_Lengyel_culture_(n=8) + 43.40% Battle-Axe_culture_(n=3)
    4.05356271 61.00% Early_Neolithic_Starcevo_culture_(n=8) + 39.00% Battle-Axe_culture_(n=3)
    4.06488882 57.20% Early_Neolithic_Italy_(n=10) + 42.80% Western_Corded_Ware_(n=17)
    4.09453770 47.40% LN_Lengyel_culture_(n=8) + 52.60% Bell_Beaker_Czechia_(n=15)
    4.09568310 63.40% LN_Lengyel_culture_(n=8) + 36.60% Eastern_Corded_Ware_(n=14)
    4.13205650 47.40% Early_Neolithic_Starcevo_culture_(n=8) + 52.60% Bell_Beaker_Bavaria/Saxony_(n=20)
    4.18618547 43.00% LN_Lengyel_culture_(n=8) + 57.00% Bell_Beaker_Bavaria/Saxony_(n=20)
    4.20110927 63.80% Early_Neolithic_Starcevo_culture_(n=8) + 36.20% Western_Corded_Ware_(n=17)
    4.20816157 61.20% Early_Neolithic_Italy_(n=10) + 38.80% Eastern_Corded_Ware_(n=14)
    4.23479412 51.80% Early_Neolithic_Starcevo_culture_(n=8) + 48.20% Bell_Beaker_Czechia_(n=15)
    4.25048219 41.60% Pre-Pottery_Neolithic_Anatolia_(n=14) + 58.40% Bell_Beaker_Bavaria/Saxony_(n=20)
    4.29481458 44.60% EN_LBK_culture_(n=43) + 55.40% Bell_Beaker_Czechia_(n=15)
    4.30970617 59.20% Middle_Neolithic_Sicily_(n=10) + 40.80% Western_Corded_Ware_(n=17)
    4.31410843 51.60% Pre-Pottery_Neolithic_Anatolia_(n=14) + 48.40% Bell_Beaker_Britain_(n=27)
    4.33162185 57.80% Chalcolithic_Bulgaria_(n=9) + 42.20% Bell_Beaker_Netherlands_(n=7)
    4.37803375 28.00% Mesolithic_Volga-Ural_(n=2) + 72.00% Middle_Neolithic_Sicily_(n=10)
    4.38010901 69.00% Mesolithic_Anatolia_(AHG)_(n=1) + 31.00% Mesolithic_Volga-Ural_(n=2)
    4.39862655 67.40% Early_Neolithic_Starcevo_culture_(n=8) + 32.60% Eastern_Corded_Ware_(n=14)
    4.42069871 69.40% Mesolithic_Anatolia_(AHG)_(n=1) + 30.60% Mesolithic_Northwest_Russia_(n=4)

    My Bronze Age results:

    3.69892678 34.40% EBA_Fatyanovo_culture_(n=18) + 65.60% Bronze_Age_Sicily_(n=15)
    3.70903210 33.00% MBA_Sintashta_culture_(n=4) + 67.00% Bronze_Age_Sicily_(n=15)
    3.77971645 69.40% Bronze_Age_Sicily_(n=15) + 30.60% MBA_Andronovo_culture_(n=3)
    3.80373316 36.60% EBA_Unetice_culture_(n=18) + 63.40% Bronze_Age_Sicily_(n=15)
    4.19167329 41.60% Mycenaean_Greece_(n=4) + 58.40% Early_Bronze_Age_Swabia_(n=24)
    4.28979727 40.20% Early_Bronze_Age_Britain_(n=28) + 59.80% Bronze_Age_Sicily_(n=15)
    4.51133174 68.00% Bronze_Age_Sicily_(n=15) + 32.00% LBA_Srubna_culture_(n=27)
    4.67567160 51.80% Bronze_Age_Sicily_(n=15) + 48.20% Bronze_Age_Germany_(n=26)
    4.73441834 24.40% Early_Bronze_Age_Iberia_(n=7) + 75.60% Bronze_Age_Illyrians
    4.77972240 58.00% Bronze_Age_Sicily_(n=15) + 42.00% Middle-Late_Bronze_Age_Britain_(n=24)
    4.85860790 22.40% Middle_Bronze_Age_Portugal_(n=4) + 77.60% Bronze_Age_Illyrians
    4.94735275 76.00% Bronze_Age_Illyrians + 24.00% Iron_Age_Iberia_(n=22)
    4.96400229 77.00% Early_Bronze_Age_Southern_France_(n=5) + 23.00% Late_Bronze_Age_Israel_(n=3)
    4.98968584 23.40% Middle-Late_Bronze_Age_Spain_(n=38) + 76.60% Bronze_Age_Illyrians
    5.20105005 76.80% Early_Bronze_Age_Southern_France_(n=5) + 23.20% Middle-Late_Bronze_Age_North_Levant_(n=24)
    5.25318280 62.20% Early_Bronze_Age_Serbia_(n=23) + 37.80% Bronze_Age_Sicily_(n=15)
    5.32022138 45.20% Mycenaean_Greece_(n=4) + 54.80% Bronze_Age_Germany_(n=26)
    5.36969223 75.20% Bronze_Age_Sicily_(n=15) + 24.80% Bronze_Age_Estonia_(n=16)
    5.39224327 75.00% Bronze_Age_Sicily_(n=15) + 25.00% Baltic_Bronze_Age_(n=12)
    5.39920427 81.20% Middle_Late_Bronze_Age_Italy_(n=9) + 18.80% Middle_Bronze_Age_North_Caucasus_(n=7)
    5.50265755 36.40% Mycenaean_Greece_(n=4) + 63.60% Middle_Bronze_Age_North_Alps_(n=7)
    5.54669033 64.00% Bronze_Age_Sicily_(n=15) + 36.00% Nordic_Bronze_Age_(n=14)
    5.56511060 48.00% Bronze_Age_Sicily_(n=15) + 52.00% Early_Bronze_Age_Swabia_(n=24)
    5.69848076 78.20% Early_Bronze_Age_Southern_France_(n=5) + 21.80% Early-Middle_Bronze_Age_North_Levant_(n=9)
    5.74146372 42.80% Bronze_Age_Sicily_(n=15) + 57.20% Middle_Bronze_Age_North_Alps_(n=7)

    My Iron Age to Early Antiquity results:

    1.71392514 86.40% Etruscans_(n=3) + 13.60% Iron_Age_Norway_(n=6)
    1.81951873 84.60% Etruscans_(n=3) + 15.40% Iron_Age_Denmark_(n=10)
    1.90847586 85.80% Etruscans_(n=3) + 14.20% Iron_Age_Sweden_(n=4)
    1.92531244 81.80% Etruscans_(n=3) + 18.20% Iron_Age_Britons_(n=4)
    2.13076843 73.40% Etruscans_(n=3) + 26.60% Gauls_Belgae_(n=16)
    2.34414011 90.80% Etruscans_(n=3) + 9.20% Iron_Age_Estonia_(n=8)
    2.46325540 79.80% Etruscans_(n=3) + 20.20% Hallstatt_Celts_(n=2)
    2.90527643 89.60% Etruscans_(n=3) + 10.40% Iron_Age_Finland_(n=3)
    3.76144059 88.80% Etruscans_(n=3) + 11.20% Cimmerians_(n=6)
    3.76945599 90.40% Etruscans_(n=3) + 9.60% Sarmatians_(n=14)
    3.85399203 83.00% Etruscans_(n=3) + 17.00% Western_Scythians_(n=28)
    4.39026481 92.00% Etruscans_(n=3) + 8.00% Tian_Shan_Saka_(n=5)
    4.57913978 81.60% Villanovans_(n=2) + 18.40% Gauls_Belgae_(n=16)
    4.58630338 88.40% Villanovans_(n=2) + 11.60% Iron_Age_Britons_(n=4)
    4.58961455 91.00% Villanovans_(n=2) + 9.00% Iron_Age_Sweden_(n=4)
    4.64205221 90.40% Villanovans_(n=2) + 9.60% Iron_Age_Denmark_(n=10)
    4.75445056 47.00% Etruscans_(n=3) + 53.00% Villanovans_(n=2)
    4.75587380 93.20% Etruscans_(n=3) + 6.80% Eastern_Scythians_(n=12)
    4.85453695 92.60% Villanovans_(n=2) + 7.40% Iron_Age_Norway_(n=6)
    4.96130441 88.60% Villanovans_(n=2) + 11.40% Hallstatt_Celts_(n=2)
    5.01729475 94.60% Villanovans_(n=2) + 5.40% Iron_Age_Finland_(n=3)
    5.12472682 95.80% Villanovans_(n=2) + 4.20% Iron_Age_Estonia_(n=8)
    5.16186623 95.00% Villanovans_(n=2) + 5.00% Sarmatians_(n=14)
    5.17190770 94.20% Villanovans_(n=2) + 5.80% Cimmerians_(n=6)
    5.21852009 95.60% Villanovans_(n=2) + 4.40% Tian_Shan_Saka_(n=5)

    My Late Antiquity and Middle Ages results:

    2.25949731 24.80% Early_Medieval_Latium_(n=5) + 75.20% Medieval_Catalonia_Valencia_(n=9)
    2.46688564 21.20% Late_Antiquity_Latium_(n=24) + 78.80% Medieval_Catalonia_Valencia_(n=9)
    2.69018825 18.00% Medieval_Foggia_Apulia_(n=5) + 82.00% Medieval_Catalonia_Valencia_(n=9)
    2.82288635 16.60% 6th-century_Piedmont_(Italians_only)_(n=7) + 83.40% Medieval_Catalonia_Valencia_(n=9)
    2.91330331 26.80% Late_Medieval_Latium_(n=16) + 73.20% Medieval_Catalonia_Valencia_(n=9)
    3.62051025 18.60% Late_Medieval_Latium_(n=16) + 81.40% Roman_&_Visigothic_Iberia_(n=31)
    3.72648992 14.60% Early_Medieval_Latium_(n=5) + 85.40% Roman_&_Visigothic_Iberia_(n=31)
    3.83711855 93.60% Medieval_Catalonia_Valencia_(n=9) + 6.40% Caucasian_Alans_(n=2)
    3.93436407 61.00% Roman_&_Visigothic_Iberia_(n=31) + 39.00% Medieval_Catalonia_Valencia_(n=9)
    3.96211963 10.00% Late_Antiquity_Latium_(n=24) + 90.00% Roman_&_Visigothic_Iberia_(n=31)
    3.96588529 12.80% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24) + 87.20% Roman_&_Visigothic_Iberia_(n=31)
    4.07582860 7.00% Medieval_Foggia_Apulia_(n=5) + 93.00% Roman_&_Visigothic_Iberia_(n=31)
    4.13102400 5.60% 6th-century_Piedmont_(Italians_only)_(n=7) + 94.40% Roman_&_Visigothic_Iberia_(n=31)
    4.15489306 97.60% Roman_&_Visigothic_Iberia_(n=31) + 2.40% Caucasian_Alans_(n=2)
    4.18018092 97.60% Roman_&_Visigothic_Iberia_(n=31) + 2.40% Avars_(n=2)
    4.18940121 98.20% Roman_&_Visigothic_Iberia_(n=31) + 1.80% Early_Medieval_Czechs_(n=2)
    4.20506723 97.80% Roman_&_Visigothic_Iberia_(n=31) + 2.20% Vikings_from_Ukraine_(n=4)
    4.20862962 97.80% Roman_&_Visigothic_Iberia_(n=31) + 2.20% Vikings_from_Poland_(n=9)
    4.21148072 96.40% Roman_&_Visigothic_Iberia_(n=31) + 3.60% Ostrogoths_(n=3)
    4.23427556 97.80% Roman_&_Visigothic_Iberia_(n=31) + 2.20% Lombards_(n=28)
    4.23640703 97.80% Roman_&_Visigothic_Iberia_(n=31) + 2.20% Danish_Vikings_(n=21)
    4.24923215 98.60% Roman_&_Visigothic_Iberia_(n=31) + 1.40% Vikings_from_Russia_(n=15)
    4.25038665 98.20% Roman_&_Visigothic_Iberia_(n=31) + 1.80% Chernyakhiv_culture_Goths_(n=3)
    4.25605911 98.80% Roman_&_Visigothic_Iberia_(n=31) + 1.20% Swedish_Vikings_(n=23)
    4.25612965 99.20% Roman_&_Visigothic_Iberia_(n=31) + 0.80% Medieval_Estonia_(n=7)

  6. #381
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    5,725

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    Here is the original Dodecad K12b spreadsheet with their sources and sample size included. Taken from the dodecad project website:

    http://dodecad.blogspot.com/2012/01/...lculators.html

    Code:
    Abhkasians_Y:Yunusbayev_(n=14),17.2,0.9,0,0.6,0,11.1,0,0,0,0.2,70,0
    Adygei:HGDP_(n=16),17.2,2.4,0,0.3,1.9,20.2,0.2,0,0,1.3,56.6,0
    Algerian_D:Dodecad_(n=5),0.8,0,34.7,0,21.4,1.4,0.5,6,16,0,11.6,7.5
    Altai:Rasmussen_(n=11),9.4,41.3,0,0.3,2.5,11.2,0.4,0,0,33.1,1.8,0
    Andalucia_1KG:1000Genomes_(n=4),7.2,0,5.1,0,52.6,18.1,0,0.6,3.2,0.1,12.9,0.3
    Aragon_1KG:1000Genomes_(n=6),6.3,0.1,3.4,0,56.1,21.8,0.4,0,3,0,8.8,0
    Argyll_1KG:1000Genomes_(n=4),13.1,0,0,0,41.2,45.2,0,0,0,0,0.5,0
    Armenian_D:Dodecad_(n=32),16.8,0,0,0,10.3,3,0,0,14,0,55.8,0
    Armenians:Behar_(n=18),15.8,0,0,0,9.8,4.5,0.2,0,9.9,0,59.8,0
    Armenians_15_Y:Yunusbayev_(n=13),18,0,0,0,8.8,3.4,0.4,0,13.7,0,55.7,0
    Ashkenazi_D:Dodecad_(n=19),2.1,0.5,4.7,0,25.9,13,0.9,0.2,13.9,0.5,38.3,0
    Ashkenazy_Jews:Behar_(n=17),2.8,0.6,4.2,0,25.1,13.2,1.3,0.4,12.8,0.5,39,0
    Assyrian_D:Dodecad_(n=13),18.3,0,0,0,9.6,0.9,0.1,0,18.9,0,52.2,0
    ASUR_Ch:Chaubey_(n=2),6.1,0.3,0,17.5,0.4,0,75.7,0,0,0,0,0
    ASW30:HapMap3_(n=24),0.9,0.2,0.8,0,6.2,6,0.2,1.7,0,0,0.3,83.6
    Azerbaijan_Jews:Behar_(n=8),18.7,0.3,0.4,0.2,9.1,0.8,0.6,0,17.8,0,52.1,0
    Baleares_1KG:1000Genomes_(n=6),5.5,0,3.7,0,49.4,22.5,0.2,0,4.4,0,14.2,0.1
    Balkars_Y:Yunusbayev_(n=17),15.8,3.9,0,0.1,0.8,19.4,0.1,0,0,3.3,56.6,0
    Balochi:HGDP_(n=21),64.5,0.4,0.5,0.9,3.6,2.3,12.1,0,10.3,0,5.5,0
    Bantu_N.E.:HGDP_(n=9),0,0,0,0,0,0,0,22.6,0,0,0,77.4
    Bantu_S.E._Pedi:HGDP_(n=1),0,0,0,0,0,0,0,12.3,0,0,0,87.7
    Bantu_S.E._S.Sotho:HGDP_(n=1),0,0,0,0,0,0,0,10.2,0,0,0,89.8
    Bantu_S.E._Tswana:HGDP_(n=2),0,0,0,0,0,0,0,12.5,0,0,0,87.5
    Bantu_S.E._Zulu:HGDP_(n=1),0,0,0,0,0,0,0,10.6,0,0,0,89.4
    Bantu_S.W._Herero:HGDP_(n=2),0,0,0,0,0,0,0,8.8,0,0,0,91.2
    Bantu_S.W._Ovambo:HGDP_(n=1),0,0,0,0,0,0,0,6.4,0,0,0,93.6
    Bedouin:HGDP_(n=33),5,0,4.9,0,8.2,0.4,0,5.3,43.3,0,30.8,2.1
    Belorussian:Behar_(n=8),0,0.3,0,0,16.1,67.8,0.5,0,1.9,0,13.3,0
    Bengali_M:Metspalu_(n=1),31.9,1.7,0,5.4,0,5.4,53.7,0,0,0,1.9,0
    Bhunjia_M:Metspalu_(n=1),0,1.8,0,20,0,0,78.2,0,0,0,0,0
    Bnei_Menashe_Jews:Behar_(n=4),26.3,0,1.6,0,5.1,1.1,36.7,0,8.2,0.9,20,0.1
    BONDA_Ch:Chaubey_(n=4),0,0,0,33.3,0,0,66.7,0,0,0,0,0
    Brahmins_from_Tamil_Nadu_M:Metspalu_(n=2),38.5,0.8,0,0.6,1.5,4.6,48.7,0,0.9,0.9,3.4,0
    Brahmins_from_Uttar_Pradesh_M:Metspalu_(n=8),36.1,0.5,0,0,1.9,13.4,44.1,0,0,1,3,0
    Brahmins_from_Uttaranchal_M:Metspalu_(n=1),27.4,4,0,2.7,0,6,33.4,0,0,23,3.6,0
    Brahui:HGDP_(n=23),69.5,0,0.4,1.2,4.5,0.8,11.6,0.1,11.4,0,0.5,0
    British_D:Dodecad_(n=11),11.3,0,0,0,43.5,43.6,0,0,0.3,0,1.3,0
    British_Isles_D:Dodecad_(n=8),9.5,0,0,0,42.5,45.7,0.1,0,0,0,2.2,0
    Bulgarian_D:Dodecad_(n=7),3.3,0.3,0.5,0,23.7,34.8,0.5,0,6.4,0.4,30.1,0
    Bulgarians_Y:Yunusbayev_(n=10),1.5,0.9,0.3,0,25,34.9,0.3,0,5.7,0.6,30.7,0
    Burmanese_Ch:Chaubey_(n=13),4.2,4.5,0,37.2,0,0,18.7,0,0.1,35.3,0,0
    Burusho:HGDP_(n=22),43.2,3.1,0,0.1,0,11.9,24.8,0,0,8.2,8.7,0
    Buryat:Rasmussen_(n=11),3.3,49.1,0,0,1.5,2.9,0.5,0,0.4,40.9,1.5,0
    C_Italian_D:Dodecad_(n=13),4.8,0,2.3,0,34.8,17.1,0.1,0,8.7,0,32.1,0
    Cambodians:HGDP_(n=10),0,1.8,0,82.2,0,0.6,15.2,0,0,0.1,0.1,0
    Canarias_1KG:1000Genomes_(n=2),5,0.3,11.8,0.6,46.7,17.6,0.1,2.8,3.7,0,11.2,0.2
    Cantabria_1KG:1000Genomes_(n=6),5.7,0.1,3.1,0,54.8,23.5,0.3,0.3,3,0,8.9,0.3
    Castilla_La_Mancha_1KG:1000Genomes_(n=6),6.8,0.4,3.5,0,54.3,21.1,0,0.6,4.5,0,8.8,0
    Castilla_Y_Leon_1KG:1000Genomes_(n=12),5.4,0,6.1,0,51.2,22.3,0.4,0.6,4,0,10,0
    Cataluna_1KG:1000Genomes_(n=8),7.3,0,2.4,0,52.1,25.2,0.3,0,3.5,0,9.2,0
    CDX30:1000Genomes_(n=30),0,0,0,81.4,0,0,0,0,0,18.6,0,0
    CEU30:1000Genomes_(n=22),10.6,0,0,0,41.4,44.7,0,0,0,0,3.3,0
    Chamar_M:Metspalu_(n=10),24.8,0.2,0,0,0.4,1.7,71.2,0,0,1.7,0,0
    CHB30:Metspalu_(n=20),0,1,0,31.6,0,0,0,0,0,67.4,0,0
    CHD30:Metspalu_(n=23),0,0,0,40.7,0,0,0,0,0,59.3,0,0
    Chechens_Y:Yunusbayev_(n=14),21.8,2.6,0,0.7,0,23,0,0,0,0.6,51.3,0
    Chenchus_M:Metspalu_(n=4),25.2,0,0.4,0.7,0.1,0.3,67.1,0,0,5,1.3,0
    Chinese_D:Dodecad_(n=8),0,0,0,29.8,0,0,0,0,0,70.2,0,0
    CHS30:SGVP_(n=27),0,0,0,50.3,0,0,0,0,0,49.7,0,0
    Chuvashs:Behar_(n=15),4.5,20,0,0,6.7,52.7,1,0,0.7,4.1,10.2,0
    Cochin_Jews:Behar_(n=4),33.1,0.2,0.1,2.5,3.7,1.5,45.4,0,5.9,0.5,7,0
    Cornwall_1KG:1000Genomes_(n=28),11.4,0,0,0,43.8,42.8,0,0,0,0,2,0
    Cypriots:Behar_(n=11),5.8,0,2.1,0,20.5,4.5,0,0,17.7,0,49.3,0
    Dai:HGDP_(n=8),0,0,0,83.3,0,0,0.2,0,0,16.5,0,0
    Daur:HGDP_(n=9),0,29.2,0,4.6,0,0,0,0,0,65.9,0.3,0
    Dharkars_M:Metspalu_(n=10),34.7,0.6,0,0.2,1.4,5.2,56.7,0,0,0.7,0.4,0
    Dhurwa_M:Metspalu_(n=1),0,0,0,21.9,0,0,78.1,0,0,0,0,0
    Dolgan:Rasmussen_(n=6),0,75.1,0,0.6,2.3,7.7,0.7,0,0,11.2,2.4,0
    Druze:HGDP_(n=32),8.9,0.1,2.9,0,12.5,0.9,0.7,1.1,23.1,0,49.5,0.2
    Dusadh_M:Metspalu_(n=6),30.8,0,0,1,0.4,2.3,63.6,0,0.1,1.8,0,0
    Dutch_D:Dodecad_(n=8),9.9,0,0,0,39.1,45.6,0,0,0.6,0,4.8,0
    Egyptans:Behar_(n=12),2.7,0,10.9,0.3,9,0,0,12.2,29.7,0,30.3,4.8
    English_D:Dodecad_(n=10),10.6,0,0,0,41.5,44.5,0,0,0.1,0,3.1,0
    Ethiopian_Jews:Behar_(n=11),0,0,10.1,0,0,0,0,57.7,27.1,0,5.1,0
    Ethiopians:Behar_(n=17),0,0,10.2,0,0,0,0,55.4,28.5,0,5.1,0.8
    Evenk:Rasmussen_(n=12),0,83.9,0,0,0,0,0,0,0,16.1,0,0
    Extremadura_1KG:1000Genomes_(n=8),6.9,0,6,0,48.2,22.1,0.3,1,4.3,0,10.7,0.4
    FIN30:1000Genomes_(n=24),0.9,7.2,0,0.1,14.1,73.5,0.7,0,2.2,0,1.3,0
    Finnish_D:Dodecad_(n=14),0.3,6.7,0,0,13.4,75.5,0.2,0,2.6,0,1.3,0
    French:HGDP_(n=27),7.9,0,0.2,0,44.4,36.5,0,0,2.5,0,8.4,0
    French_Basque:HGDP_(n=21),9.8,0,0,0,73.1,17.1,0,0,0,0,0,0
    French_D:Dodecad_(n=13),8.1,0,0.6,0,43.9,36.9,0.1,0,2.7,0,7.9,0
    Gadaba_Ch:Chaubey_(n=1),0,0,0,31,0,0,69,0,0,0,0,0
    Galicia_1KG:1000Genomes_(n=8),5.1,0,5,0,48.3,23.4,0.7,0.9,5.4,0,11.1,0.2
    Garo_Ch:Chaubey_(n=4),0,4.7,0,36.2,0,0,20.8,0,0,38.1,0.2,0
    Georgia_Jews:Behar_(n=4),16.9,0,0.7,0.4,7.4,3.6,0,0,18.8,0,52.1,0
    Georgians:Behar_(n=16),16.9,0.1,0,0,0,9,0,0,0,0,73.9,0
    German_D:Dodecad_(n=18),7.3,0,0,0,33,48.2,0,0,1.7,0,9.8,0
    GIH30:Dodecad_(n=25),39.3,0,0,0,0,3.1,54.7,0,0.4,0.5,1.9,0
    Gond_M:Metspalu_(n=4),16.1,0.6,0,9.7,0.1,1.3,71.9,0,0,0.4,0,0
    Greek_D:Dodecad_(n=15),3.3,0.3,0.6,0,28,20.2,0.1,0,10.1,0,37.4,0
    Hakkipikki_M:Metspalu_(n=4),21.6,0.1,0,0.8,0.1,0.1,73.9,0,1.1,1.9,0.3,0
    Han:HGDP_(n=29),0,0,0,44.8,0,0,0,0,0,55.2,0,0
    Hazara:HGDP_(n=16),20.5,17.3,0,2.5,2.6,9.2,6.5,0,2.3,29.5,9.5,0
    Hezhen:HGDP_(n=7),0,24.2,0,8.7,0,0,0,0,0,67.1,0,0
    Ho_Ch:Chaubey_(n=5),0,0.9,0,24.6,0,0,74.5,0,0,0,0,0
    Hungarians:Behar_(n=19),4.1,0.7,0,0,27,48.4,0.3,0,3,0.3,16.2,0
    Indian_D:Dodecad_(n=25),39.3,0.3,0,0,1.1,4.8,49.3,0,0.7,1.4,3,0
    INS30:SGVP_(n=22),36.9,0.3,0,0.3,0,3.3,56,0,1,1,1.2,0
    Iranian_D:Dodecad_(n=8),28.8,2.1,0,0.6,5.6,6,3.6,0.1,12.4,0.5,40.3,0
    Iranian_Jews:Behar_(n=4),18.8,0.4,1.8,0.4,6.8,0,0,0,22.5,0,49.3,0
    Iranians:Behar_(n=19),30.9,1,0.9,0.3,5.9,4.2,4.2,0.9,14.2,0.3,36.7,0.5
    Iraq_Jews:Behar_(n=10),16.8,0,1.6,0.1,8.9,0,0.1,0,24.7,0,47.8,0
    Irish_D:Dodecad_(n=14),11.9,0,0,0,42.7,45.1,0,0,0,0,0.2,0
    Iyengar_D:Dodecad_(n=5),38.7,1,0,0,0,6.4,52,0,1.2,0,0.7,0
    Iyer_D:Dodecad_(n=6),39.3,0,0,0,2.9,4.5,50.4,0,1.3,1.1,0.6,0
    Japanese:HGDP_(n=24),0,0,0,0.3,0,0,0,0,0,99.7,0,0
    Japanese_D:Dodecad_(n=5),0,0,0,0,0,0,0,0,0,100,0,0
    Jatt_D:Dodecad_(n=5),45.6,0.7,0,0.2,3.1,14.4,30.1,0,0.8,0,5,0
    Jordanians:Behar_(n=20),9.6,0,5.5,0,10.8,0.9,0.2,4.9,27.9,0.1,38,2.1
    JPT30:Behar_(n=28),0,0,0,0,0,0,0,0,0,100,0,0
    Juang_Ch:Chaubey_(n=2),0,0.1,0,33,0,0,66.9,0,0,0,0,0
    Kanjars_M:Metspalu_(n=7),34.5,0,0,0.1,0,6.2,57.6,0,0,1.6,0,0
    Kent_1KG:1000Genomes_(n=36),10.5,0,0,0,41.9,43.9,0,0,0.2,0,3.6,0
    Ket:Rasmussen_(n=2),5.9,66.1,0,1.1,0,23.6,0.3,0,0,3,0,0
    Kharia_Ch:Chaubey_(n=2),0.3,0.1,0,27.2,0,0.3,72.1,0,0,0,0,0
    Khasi_Ch:Chaubey_(n=3),4.6,4.2,0,37.2,0,2.6,32.5,0,0,18.8,0,0
    KHV30:1000Genomes_(n=22),0,0,0,73.5,0,0,2.3,0,0,24.2,0,0
    Kol_M:Metspalu_(n=15),28.8,0.1,0,0.6,0,2.6,66.8,0,0,0.9,0.2,0
    Korean_D:Dodecad_(n=6),0,2.6,0,10.7,0,0,0,0,0,86.7,0,0
    Kshatriya_M:Metspalu_(n=7),37.6,1.1,0,0.4,1.4,9.4,47.9,0,0,0,2.2,0
    Kumyks_Y:Yunusbayev_(n=13),20,3.9,0,0.5,3.1,18.8,0.4,0,3.3,3.7,46.3,0
    Kurd_D:Dodecad_(n=9),28.7,1.5,0.9,0.4,5.9,5.7,1.1,0.4,14,1,40.4,0
    Kurds_Y:Yunusbayev_(n=6),28.2,0.6,0,0.6,6.3,6.7,0.8,0.1,14.3,0.2,42.2,0
    Kurmi_M:Metspalu_(n=1),34.1,0,0,0,0,4.2,56.2,0,0,2.4,3.1,0
    Kurumba_M:Metspalu_(n=4),33.2,0.4,0,0.1,0,0,64.1,0,0.5,0.6,1.1,0
    Lahu:HGDP_(n=7),0,2.9,0,74.5,0,0,2.9,0,0,19.7,0,0
    Lambadi_M:Metspalu_(n=1),32.1,0,0,3.3,0,4.7,54.3,0,0,0.6,4.9,0
    Lebanese:Behar_(n=7),10.8,0.2,4.7,0.6,11.8,3.7,0,2.4,23.5,0,41.3,1
    Lezgins:Behar_(n=16),27.8,1.7,0,0,0.3,23.8,0,0,0.8,0,45.6,0
    Lithuanian_D:Dodecad_(n=9),0,0,0,0,13.9,73.7,0.7,0,1.6,0,10.1,0
    Lithuanians:Behar_(n=9),0,0,0,0,13.7,77.1,0.1,0,1,0,8,0
    LWK30:Behar_(n=22),0,0,0,0,0,0,0,24.3,0,0,0,75.7
    Makrani:HGDP_(n=22),61.2,0.2,0.7,0.5,3.3,1,10.4,1,11.3,0,6.8,3.7
    MALAYAN:Behar_(n=2),9.4,1.6,0,3.9,0.2,0.7,80.9,0.3,0.3,2.1,0.7,0
    Mandenka:HGDP_(n=18),0,0,2.7,0,0,0,0,0,0,0,0,97.3
    MAS30:SGVP_(n=24),0.1,2,0,81.2,0,0.3,13.7,0,0,2.2,0.6,0
    Mawasi_Ch:Chaubey_(n=1),1.8,0.8,0,21.8,0,0.3,73.9,0,0,0,1.4,0
    Meena_M:Metspalu_(n=1),43.4,0.6,0,0.9,2.9,6.9,43.5,0,0.6,0,1.2,0
    Meghawal_M:Metspalu_(n=1),36,1.3,0.9,0.2,1,2.8,55.6,0,0.7,0,1.5,0
    Miaozu:HGDP_(n=8),0,0,0,50.5,0,0,0,0,0,49.5,0,0
    Mixed_Germanic_D:Dodecad_(n=7),10.7,0,0,0,38.4,44.1,0,0,0.5,0,6.3,0
    Mixed_Slav_D:Dodecad_(n=12),0.9,1.5,0,0.1,16.6,64.4,0.7,0,2.2,0.4,13.3,0
    MKK30:Dodecad_(n=23),0,0,3.7,0,0,0,0,62.9,6.1,0,0,27.3
    Mongol:Rasmussen_(n=8),5.9,36.1,0,0.5,3.1,5.5,0.5,0,0,44.6,3.8,0
    Mongola:HGDP_(n=10),1.9,16,0,13.9,0.1,1.8,0,0,0,65.2,1.1,0
    Mordovians_Y:Yunusbayev_(n=13),4,5.9,0,0.7,10.9,63.8,0.9,0,0.6,0.9,12.3,0
    Moroccan_D:Dodecad_(n=5),0,0,44.4,0,23.8,1,0.3,5.7,13.4,0,6.7,4.6
    Moroccans:Behar_(n=10),0,0,44.7,0,19.5,0,0.1,6.5,15.3,0,5.7,8.3
    Morocco_Jews:Behar_(n=15),5.4,0,9.5,0,27.3,4.3,0.5,1.1,17,0,34,0.8
    Mozabite:HGDP_(n=28),0,0,98.5,0,1,0,0,0,0,0,0,0.5
    Murcia_1KG:1000Genomes_(n=8),5.5,0,6,0,50.6,19.6,0,0.2,5.9,0.6,11.2,0.4
    Muslim_M:Metspalu_(n=5),33.7,0,0,0,0,5.6,57.2,0,0,2.5,1,0
    N_Italian_D:Dodecad_(n=5),5.7,0,0.9,0,41.2,23.7,0.2,0,5.6,0,22.8,0
    Naga_M:Metspalu_(n=4),0,5.7,0,17.8,0,0,3.6,0,0,72.8,0,0
    Naxi:HGDP_(n=7),0,4.8,0,28.1,0,0,2.9,0,0,64.2,0,0
    Nganassan:Rasmussen_(n=10),0,100,0,0,0,0,0,0,0,0,0,0
    Nihali_M:Metspalu_(n=2),10.4,2,0,10.2,1.2,0.4,75.6,0,0,0.3,0,0
    Nogais_Y:Yunusbayev_(n=14),12.9,11.4,0,0.5,4.5,21.3,0.7,0,0.1,11.5,37.3,0
    North_Italian:HGDP_(n=11),4.5,0,0.7,0,44,22,0,0,5.8,0,22.9,0
    North_Kannadi:Behar_(n=7),20.1,0.5,0,0,0,0.2,76.2,0,0,0.9,2,0
    North_Ossetians_Y:Yunusbayev_(n=12),16.5,3.9,0,0.2,0,19.2,0,0,0,3.5,56.7,0
    Norwegian_D:Dodecad_(n=10),8.2,1,0,0,36,54.7,0,0,0,0,0.1,0
    O_Italian_D:Dodecad_(n=5),6.2,0,1.1,0,33.5,21.8,0,0.2,7.8,0,28.5,0.8
    Orcadian:HGDP_(n=13),12,0,0,0,42.4,45.6,0,0,0,0,0,0
    Orkney_1KG:1000Genomes_(n=21),11.8,0,0,0,41.8,46.4,0,0,0,0,0,0
    Oroqen:HGDP_(n=8),0,44.2,0,3.5,0,0,0,0,0,52.3,0,0
    Pais_Vasco_1KG:1000Genomes_(n=7),9.1,0,0,0,67.3,22.4,0,0,1.2,0,0,0
    Palestinian:HGDP_(n=31),6.8,0,5.4,0.1,10.9,0.3,0.6,5.2,30.4,0,38.2,2
    PANIYA:Behar_(n=4),0,2.7,0,62.4,0,0.2,23.8,0.5,0,8.8,0,1.6
    Pathan:HGDP_(n=22),44.5,2,0,0.2,1.1,13.2,23.6,0,2.6,0.5,12.4,0
    Piramalai_Kallars_M:Metspalu_(n=8),31.3,0,0,0,0,0,66.6,0,0.7,1.1,0.3,0
    Polish_D:Dodecad_(n=18),0.5,0.1,0,0,20.9,63.3,0.9,0,2.3,0,12.1,0
    Portuguese_D:Dodecad_(n=9),6,0,7.7,0,47.5,22.3,0.9,0.1,5,0,9.7,0.7
    Pulliyar_M:Metspalu_(n=4),0.5,1.3,0,0.9,0,0,86.8,0,0,2.8,7.8,0
    Romanians:Behar_(n=16),3,0.3,0,0,24.6,36,1.5,0,5.9,0.3,28.4,0
    Russian:HGDP_(n=20),2,7.3,0,0.1,12.1,65.4,1.1,0,2,0.8,9.2,0
    Russian_B:Behar_(n=2),0.2,2.7,0.1,0.4,13.1,66.5,0.8,0,0.6,1.2,14.3,0
    Russian_D:Dodecad_(n=17),1.8,3,0,0,14.1,66.4,0.4,0,1.4,1.1,11.7,0
    S_Italian_Sicilian_D:Dodecad_(n=10),5.5,0.1,2.5,0,29.9,11.8,0.5,0.7,12.5,0,36.5,0
    SAKILLI:Behar_(n=4),26.2,0,0,1.2,0,0,71.2,0,0.4,1,0,0
    Samaritians:Behar_(n=2),3.7,0.1,4.5,0.1,10.6,0,0,0.2,32.1,0,48.8,0
    Sandawe_He:Henn_(n=19),0.1,0,0,0,1,0,0,67.7,0.5,0,1.7,29
    Santhal_Ch:Chaubey_(n=1),3.1,0,0,16.6,0,0,78.3,0,0,2.1,0,0
    Sardinian:HGDP_(n=24),0,0,2.6,0,70.5,0,0.1,0,5.8,0,20.9,0
    Saudis:Behar_(n=20),3.6,0,1.4,0,2.6,0.9,0.3,2.6,67.7,0,20.5,0.3
    Savara_Ch:Chaubey_(n=2),0,1.3,0,25.5,0,0,73.2,0,0,0,0,0
    Selkup:Rasmussen_(n=9),6.9,62.8,0,0.9,0,27.6,0.1,0,0,1.7,0,0
    Sephardic_Jews:Behar_(n=19),5.7,0.2,6.2,0,26.5,6.1,0.4,0.7,16.2,0,38.1,0
    She:HGDP_(n=9),0,0,0,48.4,0,0,0,0,0,51.6,0,0
    Sicilian_D:Dodecad_(n=15),4.5,0,4.1,0,30,11.9,0.1,0.7,11.9,0,36.5,0.2
    Sindhi:HGDP_(n=22),50.9,0.3,0,0,2.5,6,31.4,0,3.4,0.7,4.8,0
    Somali_D:Dodecad_(n=8),0,0,9.8,0,0,0,0,69.9,20.3,0,0,0
    Spaniards:Behar_(n=10),6.5,0,3,0,53,23,0,0,3.6,0,10.8,0.1
    Spanish_D:Dodecad_(n=20),6.2,0,5.1,0,52.5,22.7,0.2,0,4,0,8.8,0.4
    Swedish_D:Dodecad_(n=11),7.7,0.6,0,0,32.9,56.8,0,0,0.8,0,1.2,0
    Syrians:Behar_(n=15),11.4,0.2,1.5,0,11.6,2.7,1.3,2.9,27.9,0,38.6,1.8
    Tajiks_Y:Yunusbayev_(n=15),33.9,6.4,0,0.9,4.2,18.6,7.3,0,3.1,7.7,18,0
    Tamil_Nadu_Scheduled_Caste_M:Metspalu_(n=2),33.3,0,0,1.4,0,0,61.6,0,2,0.2,1.4,0
    Tharus_M:Metspalu_(n=2),32.2,0.3,0,1.6,0.4,5,56.3,0,0,1,3.3,0
    TSI30:Metspalu_(n=21),5,0,0.8,0,38.7,19.3,0.1,0,7.3,0,28.6,0
    Tu:HGDP_(n=8),3,8.1,0,17.6,0.4,1.1,1.9,0,0,66.4,1.4,0
    Tujia:HGDP_(n=10),0,0,0,41.8,0,0,0,0,0,58.2,0,0
    Turkish_D:Dodecad_(n=27),13.4,3.1,0,0,13.2,9.6,1,0,10.3,3,46.4,0
    Turkmens_Y:Yunusbayev_(n=11),28,6.6,0,1.7,4.7,10.3,5.4,0,6.8,7.7,28.7,0
    Turks:Behar_(n=19),15.5,3.6,0.4,0,10.5,9,0.9,0,10.8,3.1,46.3,0
    Tuscan:HGDP_(n=7),4.8,0,0,0,37.9,18.7,0.5,0,7.2,0.5,30.5,0
    Tuva:Rasmussen_(n=13),4.4,51.3,0,0.5,0.5,6.7,0.1,0,0,34.7,1.7,0
    Ukranians_Y:Yunusbayev_(n=18),0.3,0.8,0,0,16.3,62.1,0.9,0,3,0.2,16.4,0
    Uttar_Pradesh_Scheduled_Caste_M:Metspalu_(n=4),31.9,0,0,0.5,0.4,3.2,62.5,0,0,1.5,0,0
    Uygur:HGDP_(n=10),17.1,13.3,0,4.8,1.3,13.7,4.9,0,1.6,31.7,11.6,0
    Uzbekistan_Jews:Behar_(n=2),20.3,0.6,0.9,0.6,7.7,4.4,1.3,0.3,18.5,0,45.4,0
    Uzbeks:Behar_(n=15),17.5,16.8,0,0.8,3.4,16,5,0,2.3,23.3,15,0
    Valencia_1KG:1000Genomes_(n=10),6.8,0,3,0,55.4,22.2,0,0,2.4,0,9.9,0.2
    Velamas_M:Metspalu_(n=8),38.2,0,0,0.3,0,0,58.7,0,0.5,0.7,1.6,0
    Xibo:HGDP_(n=8),0.8,17.7,0,11,0.2,0.5,0,0,0.1,68.6,1,0
    Yakut:HGDP_(n=21),1,76.7,0,0.9,1,0,0.1,0,0,19.8,0.5,0
    Yemen_Jews:Behar_(n=14),0.2,0,3.1,0,4.2,0,0,4.7,53.8,0,33.9,0
    Yemenese:Behar_(n=8),5.9,0.7,3.3,0.5,3.7,1.1,2.4,9.4,36.6,0,27.7,8.8
    Yizu:HGDP_(n=9),0,4.3,0,28.2,0,0,3,0,0,64.4,0,0
    Yoruba:HGDP_(n=20),0,0,0,0,0,0,0,0,0,0,0,100
    YRI30:HGDP_(n=21),0,0,0,0,0,0,0,0,0,0,0,100
    Yukagir:Rasmussen_(n=5),0,79.6,0,0,2.6,1.5,0,0,0,16.4,0,0

  7. #382
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    5,725

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    2 members found this post helpful.
    Here is my 2way modeling with samples from the Paleolithic to the Bronze Age, using my 30x WGS raw data from Nebula genomics.

    Distance to: Jovialis
    2.00544645 70.80% Minoan_Greece_(n=10) + 29.20% Yamna_culture_(n=16)
    2.04235344 71.00% Minoan_Greece_(n=10) + 29.00% EMBA_Catacomb_culture_(n=4)
    2.37520675 32.80% Chalcolithic_Azerbaijan_(n=4) + 67.20% Bronze_Age_Illyrians
    2.42709185 54.20% Chalcolithic_Anatolia_(n=35) + 45.80% Early_Bronze_Age_Swabia_(n=24)
    2.50342605 25.80% Khvalynsk_culture_(n=3) + 74.20% Minoan_Greece_(n=10)
    2.53284558 34.40% Middle-Late_Bronze_Age_North_Levant_(n=24) + 65.60% Bronze_Age_Illyrians
    2.60375510 69.40% Minoan_Greece_(n=10) + 30.60% Middle_Bronze_Age_North_Caucasus_(n=7)
    2.73787465 82.20% EMBA_Greece_(n=6) + 17.80% EMBA_Catacomb_culture_(n=4)
    2.76889216 51.40% Chalcolithic_Anatolia_(n=35) + 48.60% Middle_Bronze_Age_North_Alps_(n=7)
    2.79392482 81.00% EMBA_Greece_(n=6) + 19.00% Middle_Bronze_Age_North_Caucasus_(n=7)
    2.80296317 18.20% Chalcolithic_Pontic_Steppe_(n=3) + 81.80% EMBA_Greece_(n=6)
    2.80730194 82.00% EMBA_Greece_(n=6) + 18.00% Yamna_culture_(n=16)
    2.84706004 71.40% Early_Neolithic_Anatolia_(n=20) + 28.60% Yamna_culture_(n=16)
    2.91178378 71.60% Early_Neolithic_Anatolia_(n=20) + 28.40% EMBA_Catacomb_culture_(n=4)
    2.93941825 45.80% Chalcolithic_Anatolia_(n=35) + 54.20% Bell_Beaker_Hungary_(n=6)
    2.99723469 69.80% Minoan_Greece_(n=10) + 30.20% EMBA_Poltavka_culture_(n=8)
    3.02985169 78.00% Mycenaean_Greece_(n=4) + 22.00% Middle_Bronze_Age_North_Caucasus_(n=7)
    3.03979059 48.80% Early_Bronze_Age_Anatolia_(n=4) + 51.20% Middle_Bronze_Age_North_Alps_(n=7)
    3.13747219 68.80% Early_Neolithic_Greece_(n=3) + 31.20% Middle_Bronze_Age_North_Caucasus_(n=7)
    3.19929524 81.20% EMBA_Greece_(n=6) + 18.80% EMBA_Poltavka_culture_(n=8)
    3.27370019 51.20% Chalcolithic_Anatolia_(n=35) + 48.80% Bell_Beaker_Poland_(n=6)
    3.27604075 70.40% Early_Neolithic_Anatolia_(n=20) + 29.60% EMBA_Poltavka_culture_(n=8)
    3.29142082 70.00% Early_Neolithic_Anatolia_(n=20) + 30.00% Middle_Bronze_Age_North_Caucasus_(n=7)
    3.29847827 28.20% CA_Afanasievo_culture_(n=5) + 71.80% Minoan_Greece_(n=10)
    3.33148807 20.60% EMBA_Catacomb_culture_(n=4) + 79.40% Mycenaean_Greece_(n=4)

  8. #383
    Junior Member
    Join Date
    31-08-21
    Posts
    1


    Country: USA - Illinois



    Very cool! Quick question: where exactly would the "East Mediterranean Immigrants" in Imperial Latium have come from?

  9. #384
    Moderator Pax Augusta's Avatar
    Join Date
    23-06-14
    Location
    Ara Pacis
    Posts
    1,436


    Ethnic group
    Italian
    Country: Italy



    Quote Originally Posted by njg5760 View Post
    Very cool! Quick question: where exactly would the "East Mediterranean Immigrants" in Imperial Latium have come from?

    There is clearly no "exact" place from which they all came. They could have come from a wide area and not all migrants in Rome came from the East Mediterranean. Some may have even been already mixed before arriving in Rome.

  10. #385
    Regular Member AlfonsoVIII's Avatar
    Join Date
    07-12-20
    Posts
    25

    Y-DNA haplogroup
    R1b-A8053 > FGC37100

    Ethnic group
    Castilian
    Country: Spain - Castilla & Leon



    1 members found this post helpful.
    Mixing all references:


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