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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
    5,956

    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
    5,956

    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
    2,276

    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
    5,956

    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
    5,956

    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
    1,514


    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:


  11. #386
    Satyavrata Maciamo's Avatar
    Join Date
    17-07-02
    Location
    Lothier
    Posts
    9,573


    Ethnic group
    Italo-celto-germanic
    Country: Belgium - Brussels



    5 members found this post helpful.
    Now that the dates of the 82 samples from the Etruscan study have been published I have calculated and added the averages for:

    - Ancient Etruscans : closest to modern East Spaniards (Baleares, Valencia, Catalonia) and Northwest Italy (Lombardy, Piedmont, Liguria)

    - Imperial Tuscany (n=4) : closest to modern Campania, Sicily and Abruzzo.

    - Medieval Tuscany (n=10) : closest to modern Marche, Lazio and Romagna.

    - Medieval Basilicata (n=10) : closest to modern Abruzzo, Marche, Lazio, Sicily, Campania, Apulia...
    Check this selection of my best forum topics
    My book selection
    ---Follow me on Facebook and Twitter --- My profile on Academia.edu and on ResearchGate ----Check Wa-pedia's Japan Guide
    ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
    "What is the use of living, if it be not to strive for noble causes and to make this muddled world a better place for those who will live in it after we are gone?", Winston Churchill.

  12. #387
    Regular Member torzio's Avatar
    Join Date
    10-05-19
    Location
    Australia
    Posts
    2,276

    Y-DNA haplogroup
    T1a2 - SK1480
    MtDNA haplogroup
    H95a

    Ethnic group
    North Italian
    Country: Australia



    2 members found this post helpful.
    Quote Originally Posted by torzio View Post
    mine below


    Distance to: Torziok12b
    7.93611996 Villanovans_(n=2)
    9.76980041 Roman_Visigothic_Iberia_(n=31)
    11.45072923 Etruscans_(n=3)
    12.09149288 Scythians_(n=19)
    13.38610100 BB_Poland_Czechia_Hungary_(n=23)
    13.72095113 Latins_(n=4)
    14.51663529 Gauls_Belgae_(n=16)
    16.26212471 Ostrogoths_(n=3)
    16.80917607 BA_Gaul_(n=31)
    17.43714713 LBA_Hungary_(n=6)
    17.48916236 Bell_Beaker_Gaul_(n=11)
    19.61592210 Cucuteni-Trypillian_culture_(n=4)
    21.25626025 Bell_Beaker_Germany_(n=24)
    23.44443004 IA_Iberia_(n=22)
    23.57409807 Lombards_(n=28)
    23.80852998 Suebi_Alemmani_(n=20)
    24.25986810 BA_Iberia_(n=44)
    24.30828665 BA_Sicily_(n=15)
    24.97473724 MBA_Britain_(n=22)
    25.76996702 Italian_Greeks_(n=2)
    26.93811983 Mycenaean_Greeks_(n=4)
    26.95927484 EBA_Britain_(n=28)
    27.77203990 Bell_Beaker_Britain_(n=27)
    28.63350834 Chalcolithic_Balkans_(n=9)
    29.38142270 Early_Neolithic_Balkans_(n=19)



    Target: Torziok12b
    Distance: 1.2688% / 1.26880239 | ADC: 0.25x RC
    51.3 BB_Poland_Czechia_Hungary_(n=23)
    24.8 Villanovans_(n=2)
    23.9 Italian_Greeks_(n=2)



    Distance to: Torziok12b
    1.64679071 54.40% Bell_Beaker_Netherlands_(n=7) + 45.60% Minoan_Greeks_(n=10)
    1.73485819 63.00% Bell_Beaker_Germany_(n=24) + 37.00% Minoan_Greeks_(n=10)
    1.77723273 64.00% Gauls_Belgae_(n=16) + 36.00% Italian_Greeks_(n=2)
    1.84345179 47.00% Bell_Beaker_Netherlands_(n=7) + 53.00% Mycenaean_Greeks_(n=4)
    1.85816164 49.20% Bell_Beaker_Britain_(n=27) + 50.80% Mycenaean_Greeks_(n=4)
    1.92274543 50.00% Mycenaean_Greeks_(n=4) + 50.00% EBA_Britain_(n=28)
    1.99577565 53.20% Early_Neolithic_Anatolia_(n=15) + 46.80% Corded_Ware_culture_(n=22)
    2.07154006 39.40% Minoan_Greeks_(n=10) + 60.60% Lombards_(n=28)
    2.12184492 60.60% BA_Gaul_(n=31) + 39.40% Italian_Greeks_(n=2)
    2.14439183 13.00% Yamna_culture_(n=13) + 87.00% Villanovans_(n=2)
    2.16365463 46.60% Mycenaean_Greeks_(n=4) + 53.40% Lombards_(n=28)
    2.19754361 56.00% Bell_Beaker_Germany_(n=24) + 44.00% Mycenaean_Greeks_(n=4)
    2.23190121 42.60% Minoan_Greeks_(n=10) + 57.40% EBA_Britain_(n=28)
    2.36057621 56.60% Bell_Beaker_Britain_(n=27) + 43.40% Minoan_Greeks_(n=10)
    2.44643528 48.00% Mycenaean_Greeks_(n=4) + 52.00% MBA_Britain_(n=22)
    2.51334656 46.20% Minoan_Greeks_(n=10) + 53.80% Unetice_culture_(n=18)
    2.56617541 46.20% Early_Neolithic_Greece_(n=3) + 53.80% Bell_Beaker_Netherlands_(n=7)
    2.57502390 52.60% Mycenaean_Greeks_(n=4) + 47.40% Anglo-Saxons_(n=2)
    2.59523613 55.60% Early_Neolithic_Balkans_(n=19) + 44.40% Corded_Ware_culture_(n=22)
    2.61226947 39.60% Minoan_Greeks_(n=10) + 60.40% Suebi_Alemmani_(n=20)
    2.64471292 46.80% Mycenaean_Greeks_(n=4) + 53.20% Suebi_Alemmani_(n=20)
    2.67026594 67.20% BB_Poland_Czechia_Hungary_(n=23) + 32.80% Mycenaean_Greeks_(n=4)
    2.76505056 66.20% BB_Poland_Czechia_Hungary_(n=23) + 33.80% Italian_Greeks_(n=2)
    2.92738936 40.80% Minoan_Greeks_(n=10) + 59.20% MBA_Britain_(n=22)
    2.94698829 37.40% Early_Neolithic_Greece_(n=3) + 62.60% Bell_Beaker_Germany_(n=24)
    my latest one is below

    Distance to: Torziok12b
    5.32530750 Bronze_Age_Illyrians
    6.19887086 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    6.46840011 Late_Medieval_Latium_(n=16)
    7.93611996 Villanovans_(n=2)
    8.83276287 Bell_Beaker_Hungary_(n=6)
    9.58380926 Medieval_Catalonia_Valencia_(n=9)
    9.76980041 Roman_&_Visigothic_Iberia_(n=31)
    11.13904394 Early_Bronze_Age_Serbia_(n=23)
    11.79564750 Early_Medieval_Latium_(n=5)
    11.90092433 Etruscans_(n=48)
    13.59802927 Late_Antiquity_Latium_(n=24)
    13.63916053 Medieval_Tuscany_(n=10)
    13.72095113 Latins_(n=4)
    14.38534671 Middle_Bronze_Age_North_Alps_(n=7)
    14.46272104 Bell_Beaker_Poland_(n=6)
    14.51663529 Gauls_Belgae_(n=16)
    15.18951941 Medieval_Foggia_Apulia_(n=5)
    15.64978594 Western_Scythians_(n=28)
    16.26212471 Ostrogoths_(n=3)
    17.10269277 Medieval_Basilicata_(n=10)
    17.55391694 6th-century_Piedmont_(Italians_only)_(n=7)
    17.79364774 Medieval_Andalusia_(n=14)
    17.83940302 Bell_Beaker_Bavaria/Saxony_(n=20)
    18.06710824 Imperial-age_Marche_(n=2)
    18.08538360 Early_Bronze_Age_Swabia_(n=24)


    Target: Torziok12b
    Distance: 1.0953% / 1.09528753 | ADC: 0.25x RC
    32.6 Bronze_Age_Illyrians
    27.8 Late_Medieval_Latium_(n=16)
    22.7 Bell_Beaker_Hungary_(n=6)
    16.9 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)

  13. #388
    Regular Member torzio's Avatar
    Join Date
    10-05-19
    Location
    Australia
    Posts
    2,276

    Y-DNA haplogroup
    T1a2 - SK1480
    MtDNA haplogroup
    H95a

    Ethnic group
    North Italian
    Country: Australia



    Distance to:
    Torziok12b
    0.96235572 30.80% Middle_Bronze_Age_North_Alps_(n=7) + 69.20% Late_Medieval_Latium_(n=16)
    1.28275078 26.00% Early_Bronze_Age_Swabia_(n=24) + 74.00% Late_Medieval_Latium_(n=16)
    1.28723505 48.60% Bell_Beaker_Poland_(n=6) + 51.40% Medieval_Tuscany_(n=10)
    1.32009497 67.80% Bell_Beaker_Gaul_(n=13) + 32.20% Middle_Bronze_Age_Anatolia_(n=2)
    1.32106066 40.80% Bronze_Age_Germany_(n=26) + 59.20% Medieval_Tuscany_(n=10)
    1.32271482 38.60% Minoan_Greece_(n=10) + 61.40% Chernyakhiv_culture_Goths_(n=3)
    1.33298971 36.80% Iron_Age_Britons_(n=4) + 63.20% Medieval_Tuscany_(n=10)
    1.36758056 30.40% Gauls_Belgae_(n=16) + 69.60% Late_Medieval_Latium_(n=16)
    1.41204789 44.60% Imperial-age_Marche_(n=2) + 55.40% Gauls_Belgae_(n=16)
    1.42057771 30.40% Bell_Beaker_Poland_(n=6) + 69.60% Late_Medieval_Latium_(n=16)
    1.42644518 64.20% Middle_Bronze_Age_North_Alps_(n=7) + 35.80% Italian_Greeks_(n=2)
    1.43970424 47.00% Minoan_Greece_(n=10) + 53.00% Battle-Axe_culture_(n=3)
    1.47469894 23.60% Chalcolithic_Anatolia_(n=35) + 76.40% Gauls_Belgae_(n=16)
    1.55218859 52.80% Pre-Pottery_Neolithic_Anatolia_(n=14) + 47.20% Western_Corded_Ware_(n=17)
    1.58061234 16.00% Pre-Pottery_Neolithic_Anatolia_(n=14) + 84.00% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    1.61329492 66.40% Early_Medieval_Latium_(n=5) + 33.60% Roman_Britain_(n=8)
    1.62339551 14.60% Early_Neolithic_Greece_(n=3) + 85.40% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    1.63696416 54.20% Bronze_Age_Illyrians + 45.80% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    1.64679071 54.40% Bell_Beaker_Netherlands_(n=7) + 45.60% Minoan_Greece_(n=10)
    1.65219103 32.00% Middle-Late_Bronze_Age_Britain_(n=24) + 68.00% Early_Medieval_Latium_(n=5)
    1.65221278 43.00% Early_Bronze_Age_Swabia_(n=24) + 57.00% Medieval_Tuscany_(n=10)
    1.65452907 21.20% Iron_Age_Britons_(n=4) + 78.80% Late_Medieval_Latium_(n=16)
    1.66358828 48.60% Middle_Bronze_Age_North_Alps_(n=7) + 51.40% Medieval_Tuscany_(n=10)
    1.68529846 51.80% EMBA_Greece_(n=6) + 48.20% Anglo-Saxons_(n=4)
    1.69887007 51.00% Early_Neolithic_Greece_(n=3) + 49.00% MBA_Sintashta_culture_(n=4)

  14. #389
    Regular Member
    Join Date
    10-05-19
    Posts
    1,020

    Y-DNA haplogroup
    I2-M223
    MtDNA haplogroup
    H2A3

    Ethnic group
    Italian-Sicily-South
    Country: United States



    2 members found this post helpful.
    Thanks Maciamo: My top 25 2-way models

    Distance to: PalermoTrapani_Combined
    1.17382143 3.00% Chalcolithic_Pontic_Steppe_(n=3) + 97.00% Imperial-age_Tuscany_(n=4)
    1.23533778 3.00% Middle_Bronze_Age_North_Caucasus_(n=7) + 97.00% Imperial-age_Tuscany_(n=4)
    1.27557894 2.80% EMBA_Catacomb_culture_(n=4) + 97.20% Imperial-age_Tuscany_(n=4)
    1.29635535 12.40% Pre-Pottery_Neolithic_Levant_(n=15) + 87.60% Imperial-age_Marche_(n=2)
    1.30336019 2.80% Yamna_culture_(n=16) + 97.20% Imperial-age_Tuscany_(n=4)
    1.39229896 2.80% EMBA_Poltavka_culture_(n=8) + 97.20% Imperial-age_Tuscany_(n=4)
    1.39588492 2.40% Khvalynsk_culture_(n=3) + 97.60% Imperial-age_Tuscany_(n=4)
    1.39741994 2.60% CA_Afanasievo_culture_(n=5) + 97.40% Imperial-age_Tuscany_(n=4)
    1.41014072 95.80% Imperial-age_Tuscany_(n=4) + 4.20% Iron_Age_Kangju_(n=4)
    1.44082513 5.60% Iron_Age_Armenia_(n=7) + 94.40% Imperial-age_Tuscany_(n=4)
    1.47263743 70.00% Imperial-age_Latium_(East_Med_immigrants)_(n=46) + 30.00% Medieval_Catalonia_Valencia_(n=9)
    1.47941485 66.80% Imperial-age_Tuscany_(n=4) + 33.20% Imperial-age_Marche_(n=2)
    1.48419679 96.60% Imperial-age_Tuscany_(n=4) + 3.40% Sarmatians_(n=14)
    1.52103949 76.40% Italian_Greeks_(n=2) + 23.60% Roman_&_Visigothic_Iberia_(n=31)
    1.53803857 94.80% Imperial-age_Tuscany_(n=4) + 5.20% Caucasian_Alans_(n=2)
    1.56599331 4.00% Late_Bronze_Age_North_Caucasus_(n=4) + 96.00% Imperial-age_Tuscany_(n=4)
    1.57867722 4.20% Maykop_culture_(n=16) + 95.80% Imperial-age_Tuscany_(n=4)
    1.58410858 2.80% LBA_Srubna_culture_(n=27) + 97.20% Imperial-age_Tuscany_(n=4)
    1.59731893 2.60% Eastern_Corded_Ware_(n=14) + 97.40% Imperial-age_Tuscany_(n=4)
    1.60166886 96.80% Imperial-age_Tuscany_(n=4) + 3.20% Tian_Shan_Saka_(n=5)
    1.61047347 45.40% Middle-Late_Bronze_Age_North_Levant_(n=24) + 54.60% Etruscans_(n=48)
    1.61219753 70.20% Imperial-age_Tuscany_(n=4) + 29.80% Medieval_Basilicata_(n=10)
    1.64131237 96.40% Imperial-age_Tuscany_(n=4) + 3.60% Cimmerians_(n=6)
    1.64485126 2.60% MBA_Andronovo_culture_(n=3) + 97.40% Imperial-age_Tuscany_(n=4)
    1.65067966 2.80% Western_Corded_Ware_(n=17) + 97.20% Imperial-age_Tuscany_(n=4)

    Top 25 Single Distances

    Distance to: PalermoTrapani_Combined
    2.23535232 Imperial-age_Tuscany_(n=4)
    3.68146710 Imperial-age_Marche_(n=2)
    3.97365071 Medieval_Basilicata_(n=10)
    4.53751033 6th-century_Piedmont_(Italians_only)_(n=7)
    6.36689877 Late_Antiquity_Latium_(n=24)
    6.83698764 Italian_Greeks_(n=2)
    6.85822863 Medieval_Tuscany_(n=10)
    7.26249957 Medieval_Foggia_Apulia_(n=5)
    9.26208940 Early_Medieval_Latium_(n=5)
    10.19573931 EMBA_Greece_(n=6)
    10.67402923 Imperial-age_Latium_(East_Med_immigrants)_(n=46)
    12.65821867 Mycenaean_Greece_(n=4)
    13.66139085 Late_Medieval_Latium_(n=16)
    17.50304259 Bronze_Age_Illyrians
    18.78715785 Medieval_Andalusia_(n=14)
    19.21764814 Villanovans_(n=2)
    19.33627420 Early_Neolithic_Anatolia_(n=20)
    19.82548864 Bronze_Age_Sicily_(n=15)
    20.30116992 Minoan_Greece_(n=10)
    20.50952462 Pre-Pottery_Neolithic_Anatolia_(n=14)
    20.65298526 Chalcolithic_Bulgaria_(n=9)
    20.75404539 Middle-Late_Bronze_Age_Hittites_(n=2)
    20.80088940 Middle_Bronze_Age_Anatolia_(n=2)
    20.96465359 Early_Neolithic_Greece_(n=3)
    21.32149151 Early_Neolithic_Starcevo_culture_(n=8)

  15. #390
    Regular Member Salento's Avatar
    Join Date
    30-05-17
    Posts
    5,097

    Y-DNA haplogroup
    T1a2 - SK1480
    MtDNA haplogroup
    H12a

    Ethnic group
    Italian
    Country: United States



    1 members found this post helpful.
    … the Italian_Greeks_(n=2) are: y R1b R437 (Latin Praeneste) and y T R850 (Latin Ardea)




  16. #391
    Regular Member
    Join Date
    26-01-09
    Posts
    710

    Y-DNA haplogroup
    R1b Z36

    Country: UK - Scotland



    Quote Originally Posted by Maciamo View Post
    Now that the dates of the 82 samples from the Etruscan study have been published I have calculated and added the averages for:

    - Ancient Etruscans : closest to modern East Spaniards (Baleares, Valencia, Catalonia) and Northwest Italy (Lombardy, Piedmont, Liguria)

    - Imperial Tuscany (n=4) : closest to modern Campania, Sicily and Abruzzo.

    - Medieval Tuscany (n=10) : closest to modern Marche, Lazio and Romagna.

    - Medieval Basilicata (n=10) : closest to modern Abruzzo, Marche, Lazio, Sicily, Campania, Apulia...
    The medieval Tuscan samples came from southern and central Tuscany and are typically central Italian like the Marche and Romagna but northern Tuscans shade more into NW Italians including Emilians.

  17. #392
    Regular Member Stuvanè's Avatar
    Join Date
    25-09-16
    Location
    Milan
    Posts
    487

    Y-DNA haplogroup
    J2
    MtDNA haplogroup
    H1e

    Ethnic group
    Italian
    Country: Italy



    2 members found this post helpful.
    Based on Maciamo updates (post #386)

    Distance to: Dodecadk12bStuvanè
    2.44000000 Late_Medieval_Latium_(n=16)
    5.56800682 Early_Medieval_Latium_(n=5)
    5.98677710 Bronze_Age_Illyrians
    7.17117145 Medieval_Tuscany_(n=10)
    7.55611011 Late_Antiquity_Latium_(n=24)
    8.90949494 Medieval_Foggia_Apulia_(n=5)
    9.05316519 Villanovans_(n=2)
    11.15952956 Medieval_Basilicata_(n=10)
    11.89520071 6th-century_Piedmont_(Italians_only)_(n=7)
    11.97150784 Imperial-age_Marche_(n=2)
    12.46981957 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    12.65941547 Roman_&_Visigothic_Iberia_(n=31)
    13.83990607 Etruscans_(n=48)
    14.29163392 Medieval_Catalonia_Valencia_(n=9)
    14.33619894 Imperial-age_Tuscany_(n=4)
    15.88332774 Bell_Beaker_Hungary_(n=6)
    16.54552810 Early_Bronze_Age_Serbia_(n=23)
    16.57576846 Medieval_Andalusia_(n=14)
    16.98754544 Latins_(n=4)
    18.57900428 Western_Scythians_(n=28)
    19.17563558 Italian_Greeks_(n=2)
    19.70430156 EMBA_Greece_(n=6)
    20.27443217 Cucuteni-Trypillian_culture_(n=4)
    20.66584138 Middle_Late_Bronze_Age_Italy_(n=9)
    21.15670816 Mycenaean_Greece_(n=4)


    Target: Dodecadk12bStuvanè
    Distance: 1.7423% / 1.74230116 | ADC: 0.5x RC
    53.7 Late_Medieval_Latium_(n=16)
    35.9 Early_Medieval_Latium_(n=5)
    10.4 Early_Bronze_Age_Serbia_(n=23)



    Target: Dodecadk12bStuvanè
    Distance: 1.0570% / 1.05704240 | ADC: 0.25x RC
    61.7 Early_Medieval_Latium_(n=5)
    28.8 Late_Medieval_Latium_(n=16)
    8.0 Early_Medieval_Czechs_(n=2)
    1.5 Chalcolithic_Israel

    2 way mode

    Distance to: Dodecadk12bStuvanè
    1.00751716 46.80% Middle-Late_Bronze_Age_Hungary_(n=12) + 53.20% Imperial-age_Latium_(East_Med_immigrants)_(n=46)
    1.21333868 86.80% Early_Medieval_Latium_(n=5) + 13.20% Avars_(n=2)
    1.31544663 8.00% Neolithic_Lithuania_Narva_culture_(n=4) + 92.00% Early_Medieval_Latium_(n=5)
    1.33787616 89.60% Early_Medieval_Latium_(n=5) + 10.40% Early_Medieval_Czechs_(n=2)
    1.38280652 53.80% Early_Bronze_Age_Serbia_(n=23) + 46.20% Italian_Greeks_(n=2)
    1.38828111 9.20% Iron_Age_Estonia_(n=8) + 90.80% Early_Medieval_Latium_(n=5)
    1.39666581 87.20% Early_Medieval_Latium_(n=5) + 12.80% Vikings_from_Poland_(n=9)
    1.39843341 30.00% Early_Bronze_Age_Serbia_(n=23) + 70.00% Medieval_Tuscany_(n=10)
    1.40308287 8.40% Baltic_Bronze_Age_(n=12) + 91.60% Early_Medieval_Latium_(n=5)
    1.40399532 86.60% Early_Medieval_Latium_(n=5) + 13.40% Vikings_from_Ukraine_(n=4)
    1.41632842 7.80% Mesolithic_Baltic_Scandinavia_(SHG)_(n=31) + 92.20% Early_Medieval_Latium_(n=5)
    1.41891825 90.00% Early_Medieval_Latium_(n=5) + 10.00% Medieval_Estonia_(n=7)
    1.43379052 8.40% Bronze_Age_Estonia_(n=16) + 91.60% Early_Medieval_Latium_(n=5)
    1.46155456 8.60% Mesolithic_Balkans_HG_(n=43) + 91.40% Early_Medieval_Latium_(n=5)
    1.51060219 58.20% Italian_Greeks_(n=2) + 41.80% Hallstatt_Celts_(n=2)
    1.52904928 58.40% Early_Bronze_Age_Serbia_(n=23) + 41.60% Imperial-age_Latium_(East_Med_immigrants)_(n=46)
    1.53487951 31.60% Chalcolithic_Romania_(n=1) + 68.40% Italian_Greeks_(n=2)
    1.54010003 7.40% Neolithic_Ukraine_(n=12) + 92.60% Early_Medieval_Latium_(n=5)
    1.56920293 87.00% Early_Medieval_Latium_(n=5) + 13.00% Vikings_from_Russia_(n=15)
    1.57589108 41.80% Early_Bronze_Age_Serbia_(n=23) + 58.20% Imperial-age_Marche_(n=2)
    1.57964586 14.40% Chalcolithic_Romania_(n=1) + 85.60% Medieval_Tuscany_(n=10)
    1.57977958 42.00% Middle-Late_Bronze_Age_Hungary_(n=12) + 58.00% Italian_Greeks_(n=2)
    1.61842251 7.20% Mesolithic_Ukraine_(n=7) + 92.80% Early_Medieval_Latium_(n=5)
    1.61962629 12.40% Mesolithic_West_Europeans_(WHG)_(n=21) + 87.60% Medieval_Tuscany_(n=10)
    1.63501216 15.00% Nordic_Bronze_Age_(n=14) + 85.00% Medieval_Tuscany_(n=10)

  18. #393
    Regular Member
    Join Date
    04-04-19
    Posts
    77


    Country: Greece



    1 members found this post helpful.
    The 2-way models for my Greek friend and his mother. Not amazing fits though

    Can someone help me "read" the results ? My friend usually plots like a slightly Caucasus/Anatolian shifted Smyrniot/NE Aegean/Cyclades Greek so as far as I understand the non ancient Anatolian/Caucasian populations chosen in my friend's 2-way results are due to the higher Steppe they contain, closer to modern Greek steppe levels (even if they have more Western than Eastern shift ) , right ?

    What about his mother's though ? She usually plots like a Caucasus and mainland Greek shifted Cretan.

    Code:
    Distance to: Chris
    1.98602136 24.40% Chalcolithic_Northwest_Caucasus_(n=3) + 75.60% Early_Medieval_Latium_(n=5)
    2.18825208 19.20% Chalcolithic_Northwest_Caucasus_(n=3) + 80.80% Medieval_Tuscany_(n=10)
    3.00713292 19.80% Chalcolithic_Northwest_Caucasus_(n=3) + 80.20% Late_Antiquity_Latium_(n=24)
    3.14102633 29.80% EBA_Fatyanovo_culture_(n=18) + 70.20% Middle_Bronze_Age_Anatolia_(n=2)
    3.20949491 29.40% Western_Corded_Ware_(n=17) + 70.60% Middle_Bronze_Age_Anatolia_(n=2)
    3.26185440 71.00% Middle_Bronze_Age_Anatolia_(n=2) + 29.00% LBA_Srubna_culture_(n=27)
    3.26548650 72.60% Middle_Bronze_Age_Anatolia_(n=2) + 27.40% MBA_Andronovo_culture_(n=3)
    3.33338246 27.20% Eastern_Corded_Ware_(n=14) + 72.80% Middle_Bronze_Age_Anatolia_(n=2)
    3.38915418 54.80% Middle_Bronze_Age_Anatolia_(n=2) + 45.20% Western_Scythians_(n=28)
    3.54804481 21.00% Kura-Araxes_culture_(n=8) + 79.00% Medieval_Tuscany_(n=10)
    3.63725150 27.00% Kura-Araxes_culture_(n=8) + 73.00% Early_Medieval_Latium_(n=5)
    3.67024817 50.60% Middle-Late_Bronze_Age_Hittites_(n=2) + 49.40% Bronze_Age_Illyrians
    3.82507065 28.00% MBA_Sintashta_culture_(n=4) + 72.00% Middle_Bronze_Age_Anatolia_(n=2)
    3.86166744 47.20% Chalcolithic_Anatolia_(n=35) + 52.80% 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    3.98350176 11.60% Chalcolithic_Northwest_Caucasus_(n=3) + 88.40% Imperial-age_Marche_(n=2)
    3.99790440 81.80% Imperial-age_Marche_(n=2) + 18.20% Caucasian_Alans_(n=2)
    4.02926388 55.60% Chalcolithic_Anatolia_(n=35) + 44.40% Bell_Beaker_Poland_(n=6)
    4.03668999 55.80% Chalcolithic_Anatolia_(n=35) + 44.20% Middle_Bronze_Age_North_Alps_(n=7)
    4.05420188 59.60% Chalcolithic_Anatolia_(n=35) + 40.40% Hallstatt_Celts_(n=2)
    4.07435708 44.00% Middle-Late_Bronze_Age_Hittites_(n=2) + 56.00% Late_Medieval_Latium_(n=16)
    4.07518989 59.00% Chalcolithic_Anatolia_(n=35) + 41.00% Bronze_Age_Germany_(n=26)
    4.11611037 13.00% Late_Bronze_Age_North_Caucasus_(n=4) + 87.00% Imperial-age_Marche_(n=2)
    4.12911941 60.80% Middle_Bronze_Age_Anatolia_(n=2) + 39.20% Ostrogoths_(n=3)
    4.13433359 39.40% Kura-Araxes_culture_(n=8) + 60.60% Villanovans_(n=2)
    4.18417664 29.60% Battle-Axe_culture_(n=3) + 70.40% Middle_Bronze_Age_Anatolia_(n=2)
    Distance to: Chris_Mom
    2.29779940 71.00% Italian_Greeks_(n=2) + 29.00% Caucasian_Alans_(n=2)
    2.33976975 21.60% Late_Bronze_Age_North_Caucasus_(n=4) + 78.40% Italian_Greeks_(n=2)
    2.67546165 28.80% Iron_Age_Armenia_(n=7) + 71.20% Italian_Greeks_(n=2)
    2.71279258 63.40% Chalcolithic_Anatolia_(n=35) + 36.60% Ostrogoths_(n=3)
    2.79502792 67.60% Chalcolithic_Anatolia_(n=35) + 32.40% Chernyakhiv_culture_Goths_(n=3)
    2.91861676 41.60% Kura-Araxes_culture_(n=8) + 58.40% Early_Medieval_Latium_(n=5)
    2.92157218 36.80% Kura-Araxes_culture_(n=8) + 63.20% Medieval_Tuscany_(n=10)
    2.97609148 70.80% Chalcolithic_Anatolia_(n=35) + 29.20% Bell_Beaker_Netherlands_(n=7)
    2.98958291 70.00% Chalcolithic_Anatolia_(n=35) + 30.00% Early_Bronze_Age_Britain_(n=28)
    2.99871965 70.40% Chalcolithic_Anatolia_(n=35) + 29.60% Bell_Beaker_Britain_(n=27)
    3.04000994 23.20% EMBA_Catacomb_culture_(n=4) + 76.80% Middle_Bronze_Age_Anatolia_(n=2)
    3.07116431 23.20% Yamna_culture_(n=16) + 76.80% Middle_Bronze_Age_Anatolia_(n=2)
    3.07987317 25.00% Chalcolithic_Northwest_Caucasus_(n=3) + 75.00% Imperial-age_Marche_(n=2)
    3.12948294 67.60% Chalcolithic_Anatolia_(n=35) + 32.40% Bell_Beaker_Czechia_(n=15)
    3.14465734 75.20% Middle_Bronze_Age_Anatolia_(n=2) + 24.80% Middle_Bronze_Age_North_Caucasus_(n=7)
    3.15324930 69.60% Chalcolithic_Anatolia_(n=35) + 30.40% Middle-Late_Bronze_Age_Britain_(n=24)
    3.18447610 71.40% Chalcolithic_Anatolia_(n=35) + 28.60% Battle-Axe_culture_(n=3)
    3.18456521 44.20% Early_Neolithic_Anatolia_(n=20) + 55.80% Caucasian_Alans_(n=2)
    3.22958883 68.80% Chalcolithic_Anatolia_(n=35) + 31.20% Lombards_(n=28)
    3.28227142 66.20% Chalcolithic_Anatolia_(n=35) + 33.80% Bell_Beaker_Bavaria/Saxony_(n=20)
    3.28427763 68.60% Chalcolithic_Anatolia_(n=35) + 31.40% Suebi_Alemmani_(n=20)
    3.31668525 71.00% Chalcolithic_Anatolia_(n=35) + 29.00% Anglo-Saxons_(n=4)
    3.32962134 20.40% Khvalynsk_culture_(n=3) + 79.60% Middle_Bronze_Age_Anatolia_(n=2)
    3.37234940 69.00% Chalcolithic_Anatolia_(n=35) + 31.00% Roman_Britain_(n=8)
    3.38246399 31.80% Chalcolithic_Northwest_Caucasus_(n=3) + 68.20% Medieval_Tuscany_(n=10)

  19. #394
    Junior Member Akritas's Avatar
    Join Date
    17-06-19
    Location
    Scania
    Posts
    4

    Y-DNA haplogroup
    G-L14
    MtDNA haplogroup
    K14C

    Ethnic group
    Greek/Pontic
    Country: Sweden



    1 members found this post helpful.
    From the edges, borders, akres of hellenism... My grandparents came from the Trapezos (Trebizond, modern Trabzon).
    My results are clearly anatolian.

    Thanks to Jovialis for support and instructions. Thanks to Maciamo for simple instructions.

    But maybe you people can see some sea-people in me :)

    Distance to: Akritas
    6.87880804 Middle-Late_Bronze_Age_Hittites_(n=2)
    13.92158755 Early_Bronze_Age_Anatolia_(n=4)
    14.02444651 Middle-Late_Bronze_Age_North_Levant_(n=24)
    14.36382261 Middle_Bronze_Age_Anatolia_(n=2)
    18.25677135 Early-Middle_Bronze_Age_North_Levant_(n=9)
    19.34065666 Late_Bronze_Age_Israel_(n=3)
    25.12746903 Mycenaean_Greece_(n=4)
    29.81031365 Late_Bronze_Age_North_Caucasus_(n=4)
    36.56940114 Bronze_Age_Illyrians
    38.34213870 Bronze_Age_Sicily_(n=15)
    47.39676360 Middle_Late_Bronze_Age_Italy_(n=9)
    48.28693923 Early_Bronze_Age_Serbia_(n=23)
    52.42685953 Middle_Bronze_Age_North_Alps_(n=7)
    55.03656512 Early_Bronze_Age_Southern_France_(n=5)
    56.18020737 Early_Bronze_Age_Swabia_(n=24)
    57.00195786 Bronze_Age_Germany_(n=26)
    58.24845921 Middle-Late_Bronze_Age_Hungary_(n=12)
    58.26935987 Early_Bronze_Age_Iberia_(n=7)
    58.56660823 Middle-Late_Bronze_Age_Spain_(n=38)
    58.98694347 Iron_Age_Iberia_(n=22)
    59.29932883 Middle_Bronze_Age_Portugal_(n=4)
    60.37387514 Nuragic_Sardinia_(n=13)
    60.91367991 Middle-Late_Bronze_Age_Britain_(n=24)
    62.09829064 Early_Bronze_Age_Britain_(n=28)
    63.17801991 Middle_Bronze_Age_North_Caucasus_(n=7)

    Distance to: Akritas
    13.04290228 Imperial-age_Latium_(East_Med_immigrants)_(n=46)
    15.88629913 Iron_Age_Israel_(n=6)
    16.00469306 Italian_Greeks_(n=2)
    21.97934485 Imperial-age_Marche_(n=2)
    23.01584454 Iron_Age_Armenia_(n=7)
    30.53510930 Iron_Age_&_Hellenistic_Egypt_(n=3)
    39.23401585 Villanovans_(n=2)
    40.75247968 Western_Scythians_(n=28)
    43.58985891 Etruscans_(n=48)
    46.17625255 Latins_(n=4)
    50.94116018 Cimmerians_(n=6)
    52.95630935 Gauls_Belgae_(n=16)
    54.38275278 Tian_Shan_Saka_(n=5)
    54.77539959 Sarmatians_(n=14)
    56.23288984 Eastern_Scythians_(n=12)
    58.33012258 Hallstatt_Celts_(n=2)
    60.46205504 Iron_Age_Britons_(n=4)
    64.13944340 Iron_Age_Denmark_(n=10)
    65.29700912 Iron_Age_Norway_(n=6)
    66.14272296 Iron_Age_Sweden_(n=4)
    69.40548177 Iron_Age_Finland_(n=3)
    76.42947206 Iron_Age_Estonia_(n=8)

    Distance to: Akritas
    22.65838035 Imperial_Tuscany_(n=4)
    23.27963058 6th-century_Piedmont_(Italians_only)_(n=7)
    23.50412304 Caucasian_Alans_(n=2)
    24.41666849 Medieval_Basilicata_(n=10)
    25.13504923 Medieval_Foggia_Apulia_(n=5)
    26.64487756 Medieval_Tuscany_(n=10)
    26.98437696 Late_Antiquity_Latium_(n=24)
    29.86384938 Early_Medieval_Latium_(n=5)
    32.60319923 Late_Medieval_Latium_(n=16)
    39.01276073 Medieval_Andalusia_(n=14)
    42.48031073 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    42.83545494 Roman_&_Visigothic_Iberia_(n=31)
    45.59981798 Medieval_Catalonia_Valencia_(n=9)
    46.69567646 Iron_Age_Kangju_(n=4)
    49.19788715 Ostrogoths_(n=3)
    51.44728078 Early_Medieval_Canaries_(n=5)
    55.35070641 Medieval_Steppe_Turks_(n=2)
    56.99133969 Chernyakhiv_culture_Goths_(n=3)
    57.44215177 Tian_Shan_Huns_(n=8)
    58.35861890 Danish_Vikings_(n=21)
    58.95386925 Suebi_Alemmani_(n=20)
    59.37620483 Lombards_(n=28)
    59.79055193 Roman_Britain_(n=8)
    60.96573710 Avars_(n=2)
    61.09161154 Vikings_from_Ukraine_(n=4)

  20. #395
    Regular Member Archetype0ne's Avatar
    Join Date
    11-06-18
    Posts
    988

    Y-DNA haplogroup
    J2b2-L283/FT29003

    Country: Albania



    1 members found this post helpful.
    Not an amazing fit for me either. But barring 7 component fits, no calculator gets be below 2.5 either. I guess it is more about my autosomal mix rather than the calculator.




    “Man cannot live without a permanent trust in something indestructible in himself, and at the same time that indestructible something as well as his trust in it may remain permanently concealed from him.”

    Franz Kafka

  21. #396
    Regular Member Duarte's Avatar
    Join Date
    08-01-19
    Posts
    2,108

    Y-DNA haplogroup
    R1b-DF27/R-Y45921

    Country: Brazil



    2 members found this post helpful.
    No significant changes since my last post in grouped samples mode (Maciamo’s Ancient Ethnicities Checker).

    Distance to: Duarte
    6.17150711 Medieval_Catalonia_Valencia_(n=9)
    6.71266713 Roman_&_Visigothic_Iberia_(n=31)
    10.25049755 Etruscans_(n=48)
    11.27186764 Latins_(n=4)
    12.12435978 Villanovans_(n=2)
    13.33091895 Bell_Beaker_Hungary_(n=6)
    14.03098001 Bronze_Age_Illyrians
    14.05696980 Medieval_Andalusia_(n=14)
    14.07130058 Middle_Late_Bronze_Age_Italy_(n=9)
    14.52055095 Early_Bronze_Age_Southern_France_(n=5)
    14.84792915 Early_Bronze_Age_Iberia_(n=7)
    15.04884381 6th-century_Piedmont_(Italians_&_Lombards)_(n=24)
    15.13849068 Cucuteni-Trypillian_culture_(n=4)
    15.21667178 Middle_Bronze_Age_North_Alps_(n=7)
    15.30209790 Gauls_Belgae_(n=16)
    15.31625933 Iron_Age_Iberia_(n=22)
    16.25126149 Middle-Late_Bronze_Age_Spain_(n=38)
    16.35257166 Early_Bronze_Age_Serbia_(n=23)
    16.54298643 Bell_Beaker_Poland_(n=6)
    16.76632041 Late_Medieval_Latium_(n=16)
    17.46561765 Early_Bronze_Age_Swabia_(n=24)
    17.48110694 Middle_Bronze_Age_Portugal_(n=4)
    18.85846229 Early_Medieval_Latium_(n=5)
    18.93396947 Bell_Beaker_Gaul_(n=13)
    20.69150309 Middle-Late_Bronze_Age_Hungary_(n=12)

    Distance to: Duarte
    4.66417136 47.60% Iron_Age_Iberia_(n=22) + 52.40% Medieval_Andalusia_(n=14)
    4.85328375 49.00% Early_Bronze_Age_Southern_France_(n=5) + 51.00% Medieval_Andalusia_(n=14)
    5.04636530 24.00% Early_Bronze_Age_Iberia_(n=7) + 76.00% Roman_&_Visigothic_Iberia_(n=31)
    5.18746490 22.80% Iron_Age_Iberia_(n=22) + 77.20% Roman_&_Visigothic_Iberia_(n=31)
    5.19626512 42.80% Chalcolithic_BB_Sardinia_(n=10) + 57.20% Ostrogoths_(n=3)
    5.42021978 20.60% Middle-Late_Bronze_Age_Spain_(n=38) + 79.40% Roman_&_Visigothic_Iberia_(n=31)
    5.51279033 82.40% Medieval_Catalonia_Valencia_(n=9) + 17.60% Medieval_Andalusia_(n=14)
    5.54980854 18.60% Middle_Bronze_Age_Portugal_(n=4) + 81.40% Roman_&_Visigothic_Iberia_(n=31)
    5.55329431 48.40% Early_Bronze_Age_Iberia_(n=7) + 51.60% Medieval_Andalusia_(n=14)
    5.63868310 8.20% Chalcolithic_BB_Sardinia_(n=10) + 91.80% Medieval_Catalonia_Valencia_(n=9)
    5.66006917 11.00% Bell_Beaker_Iberia_(n=11) + 89.00% Roman_&_Visigothic_Iberia_(n=31)
    5.67109585 5.80% Early_Medieval_Canaries_(n=5) + 94.20% Medieval_Catalonia_Valencia_(n=9)
    5.67399858 11.60% Chalcolithic_Spain_(n=60) + 88.40% Roman_&_Visigothic_Iberia_(n=31)
    5.67630428 8.40% Chalcolithic_Portugal_(n=11) + 91.60% Medieval_Catalonia_Valencia_(n=9)
    5.73065778 7.20% Middle-Late_Neolithic_Portugal_(n=4) + 92.80% Medieval_Catalonia_Valencia_(n=9)
    5.73086346 6.00% Early_Neolithic_Spain_(n=10) + 94.00% Medieval_Catalonia_Valencia_(n=9)
    5.73125619 6.40% Middle_Neolithic_Sardinia_(n=10) + 93.60% Medieval_Catalonia_Valencia_(n=9)
    5.75815472 2.80% Epipaleolithic_Magreb_(Iberomaurusians)_(n=5) + 97.20% Medieval_Catalonia_Valencia_(n=9)
    5.77419747 6.80% Middle_Late_Neolithic_Spain_(n=12) + 93.20% Medieval_Catalonia_Valencia_(n=9)
    5.77811551 7.40% Chalcolithic_Spain_(n=60) + 92.60% Medieval_Catalonia_Valencia_(n=9)
    5.78342255 6.60% Nuragic_Sardinia_(n=13) + 93.40% Medieval_Catalonia_Valencia_(n=9)
    5.78479561 6.80% Bell_Beaker_Iberia_(n=11) + 93.20% Medieval_Catalonia_Valencia_(n=9)
    5.79544047 11.40% Chalcolithic_Portugal_(n=11) + 88.60% Roman_&_Visigothic_Iberia_(n=31)
    5.80845669 7.60% Late_Neolithic_Switzerland_(n=58) + 92.40% Medieval_Catalonia_Valencia_(n=9)
    5.81063741 32.40% MN_Westphalia_(Megalithic_Wartberg)_(n=6) + 67.60% Medieval_Andalusia_(n=14)

    In individual samples mode (Jovialis’ K12b last update), the results are as follows:

    Distance to: Duarte
    6.29654667 I10892:Olalde_2019
    6.83142738 NE_Iberia_c8-12CE:I10895:Olalde_2019
    7.15328596 SE_Iberia_c5-8CE:I3585:Olalde_2019
    7.40270896 I12516:Olalde_2019
    7.51741312 SE_Iberia_c10-16CE:I12514:Olalde_2019
    7.79453013 C7-Villa_Magna_MA:R63:Antonio_2019
    7.96743999 SE_Iberia_c5-8CE:I3981:Olalde_2019
    7.98827891 I10852:Olalde_2019
    8.29628230 SE_Iberia_c10-16CE:I12649:Olalde_2019
    8.57093927 Crusader_Pit:SI40:Haber_2019
    8.65500433 I3982:Olalde_2019
    8.79383307 NE_Iberia_c6-8CE_ES:I7675:Olalde_2019
    8.85043502 NE_Iberia_c8-12CE:I10853:Olalde_2019
    8.94111291 I1313:Olalde_2019
    8.99556557 C7-Crypta_Balbi_Late_Antiquity:R110:Antonio_2019
    9.25598725 TAQ001:Etruscan_Pre-Print_2021
    9.29074809 C7-Cancelleria_MA:R1289:Antonio_2019
    9.38223321 Beaker_Central_Europe:I6534:Olalde_2018
    9.53438514 Balkans_N:I2215:Mathieson_2018
    9.54338514 I7673:Olalde_2019
    9.70848598 SE_Iberia_c10-16CE:I7457:Olalde_2019
    9.75401456 C7-Crypta_Balbi_Late_Antiquity:R109:Antonio_2019
    9.77754570 SE_Iberia_c10-16CE:I12515:Olalde_2019
    9.78898360 Salento’s_BRC003_Dodecad_K12b
    9.93724811 Prenestini_IA:R435:Antonio_2019

    2way aggregate

    Target: Duarte
    Distance: 1.0268% / 1.02680050 | R2P
    87.8 SE_Iberia_c10-16CE
    12.2 ZVEJ31


    2way disaggregate

    Target: Duarte
    Distance: 1.0268% / 1.02680050 | R2P
    28.6 SE_Iberia_c10-16CE:I12649:Olalde_2019
    25.4 SE_Iberia_c10-16CE:I12648:Olalde_2019
    16.6 SE_Iberia_c10-16CE:I12650:Olalde_2019
    12.2 ZVEJ31:Jones_2017
    10.1 SE_Iberia_c10-16CE:I7500:Olalde_2019
    7.1 SE_Iberia_c10-16CE:I8145:Olalde_2019






  22. #397
    Regular Member Lukas's Avatar
    Join Date
    23-04-17
    Posts
    291


    Country: Poland



    4 members found this post helpful.
    Updated version of Jovialis added https://vahaduo.genetics.ovh/dodecad...NT-vahaduo.htm
    G25 Maps
    K36 Ancestral Report & Chromosomal Analysis & Heat Maps

    https://www.lm-genetics.com


  23. #398
    Advisor Jovialis's Avatar
    Join Date
    04-05-17
    Posts
    5,956

    Y-DNA haplogroup
    R1b1a1b2a2a
    MtDNA haplogroup
    H6a1b7

    Ethnic group
    Italian
    Country: United States



    4 members found this post helpful.
    Quote Originally Posted by Lukas View Post
    Thank you so much,

    I forgot to include the newest update to the Etruscan samples. They would replace the ones that say Etruscan-Pre-print, because they have the full-archeological data. At any rate, this a great update!

    Code:
    C.Italy_Etruscan:CampigliadeiFoci(Siena_Tuscany)_780-540BCE:CAM001,1.38,0.19,1.2,0,47.62,24.58,0,0,6.88,0,17.87,0.27
    C.Italy_Etruscan.Ceu:CampigliadeiFoci(Siena_Tuscany)_770-520BCE:CAM002,4.72,0.03,0,1.59,40.47,34.19,0,0,4.64,0,13.94,0.44
    C.Italy_Etruscan:CampigliadeiFoci(Siena_Tuscany)_770-540BCE:CAM003,0.93,0.04,0.79,0,49.21,23.83,0,0,7,0.18,16.98,1.04
    C.Italy_Etruscan_undated:Casenovole(Grosseto_Tuscany):CSN001,0.74,0,1.6,0.73,46.5,23.83,0,0,7.19,0,19.25,0.16
    C.Italy_Etruscan.Ceu_related:Casenovole(Grosseto_Tuscany)_427-265BCE:CSN002,0,0.36,0,0,41.12,32.35,0,0,0,0,26.17,0
    C.Italy_Etruscan:Casenovole(Grosseto_Tuscany)_380-204BCE:CSN003,0.97,0.01,2,0,49.14,21.97,1.05,0,7.95,0.53,15.93,0.45
    C.Italy_Etruscan_undated:Casenovole(Grosseto_Tuscany):CSN004,1.49,0,2.17,0.71,51.75,19.41,0.13,0,5.2,0,18.21,0.93
    C.Italy_Etruscan_undated:Casenovole(Grosseto_Tuscany):CSN005,1.48,0,4.65,0,39.23,28.19,0.65,0,6.11,0.54,19.16,0
    C.Italy_Etruscan:Casenovole(Grosseto_Tuscany)_533-392BCE:CSN006,3.62,0,0,1.53,45.77,24.02,0.29,0,4.9,0,19.6,0.27
    C.Italy_Etruscan_undated:Casenovole(Grosseto_Tuscany):CSN007,0,0,0,0.5,50.29,20.45,0,0,10.86,0,17.91,0
    C.Italy_Etruscan_undated:Casenovole(Grosseto_Tuscany):CSN008,4.93,0,0,0.4,43.71,27.95,0,0,4.16,0,18.84,0
    C.Italy_Etruscan:Casenovole(Grosseto_Tuscany)_427-265BCE:CSN009,2.52,0,2.03,0,39.86,27.95,0,0,2.52,0.43,23.93,0.75
    C.Italy_Etruscan_related:Casenovole(Grosseto_Tuscany)_380-204BCE:CSN010,4.43,0.27,3.49,0,40.36,31.59,0,0,5.33,1.81,11.48,1.25
    :Casenovole(Grosseto_Tuscany):CSN012,7.01,0,10.55,0,41.84,29.45,0,0,0,0,11.15,0
    C.Italy_Etruscan_undated:Casenovole(Grosseto_Tuscany):CSN013,4.87,0,0.54,0,45.93,21.96,0.41,0,5.92,0.25,19.55,0.57
    C.Italy_Early.Medieval:Chiusi(Siena_Tuscany)_997-1149CE:ETR003,10.36,0,2.55,0,30.58,19.47,0,0,10.98,0,25.66,0.41
    :Chiusi(Siena_Tuscany):ETR004,17.44,0,0,0,19.59,19.63,0,0,11.7,0,31.64,0
    C.Italy_Etruscan:Chiusi(Siena_Tuscany)_805-774BCE:ETR005,2,0,0,1.54,45.54,20.52,0.17,0,9.35,1.02,18.73,1.13
    C.Italy_Early.Medieval:Chiusi(Siena_Tuscany)_772-888CE:ETR006,3.87,1.22,0,0,39.39,15.01,0,0,12.67,0,26.45,1.39
    C.Italy_Early.Medieval:Chiusi(Siena_Tuscany)775-945CE:ETR007,5.51,0,2.37,1.28,30.11,25.01,0,0,8.81,0,26.92,0
    C.Italy_Early.Medieval_undated:Chiusi(Siena_Tuscany):ETR010,4.58,0.05,1.08,0.22,37.3,17.15,0.08,0,9.4,0,29.53,0.6
    C.Italy_Early.Medieval_undated:Chiusi(Siena_Tuscany):ETR012,17.52,1.96,0,0,41.58,12.98,3.45,0.35,5.74,0,16.42,0
    C.Italy_Early.Medieval:Chiusi(Siena_Tuscany)C899-1016CE:ETR013,6.64,0.06,1.86,0,35.44,14.98,0,0,9.51,0,31.24,0.28
    C.Italy_Early.Medieval_ETR014:Chiusi(Siena_Tuscany)_977-1022CE:ETR014,3.51,0,2.87,0,27.31,14.86,0.51,0,14.53,0,36.4,0
    C.Italy_Etruscan:MaglianoinToscana(Grosseto_Tuscany)_790-550BCE:MAG001,0.84,0,0,0,47.05,24.88,0.37,0.08,3.46,0.47,22.84,0.02
    C.Italy_Etruscan_MAS001:Marsilianad'Albegna(Grosseto_Tuscany)_350-100BCE:MAS001,7.2,0.84,4.18,0,26.73,30.23,1.6,0.6,6.25,1.12,21.08,0.18
    C.Italy_Imperial:Marsilianad'Albegna(Grosseto_Tuscany)_240-380CE:MAS002,6.49,1.52,3.63,0,23.56,7.82,0,0.48,18.33,0.02,38.16,0
    C.Italy_Imperial:Marsilianad'Albegna(Grosseto_Tuscany)_400-530CE:MAS003,2.81,0,8.6,1.47,34.71,11.66,0,1.28,11.86,0,26.84,0.76
    C.Italy_Etruscan:Marsilianad'Albegna(Grosseto_Tuscany)_804-557BCE:MAS004,1.12,0,0.85,0,44.63,29.23,0,0,1.36,1.35,21.46,0
    C.Italy_Early.Medieval:PoggioPelliccia(Grosseto_Tuscany)_772-960CE:POP001,4.72,0.15,0.86,0,35.02,19.76,0,0,8.74,1.36,28.84,0.55
    C.Italy_Etruscan:PoggioRenzo(Siena_Tuscany)_794-543BCE:PRZ001,1.55,0.11,0,0,48.41,23.78,0,0,6.08,0.13,19.22,0.71
    C.Italy_Etruscan:PoggioRenzo(Siena_Tuscany)_772-436BCE:PRZ002,0,0,2.6,0.54,47.1,27.43,0,0,4.06,1.06,17.2,0
    C.Italy_Etruscan_related:Tarquinia(Viterbo_Lazio)_356-96BCE:TAQ001,2.36,0,4.12,0.57,47.15,23.95,0,0,4.6,0,17.25,0
    C.Italy_Etruscan:Tarquinia(Viterbo_Lazio)_103BCE-54CE:TAQ002,0,0,1.15,0.26,46.51,23.88,0,0,5.81,0,21.27,1.12
    C.Italy_Early.Medieval:Tarquinia(Viterbo_Lazio)_729-942CE:TAQ003,5.6,0,2.14,1.3,29.31,17.09,0.1,0.93,11.36,0,31.59,0.58
    C.Italy_Etruscan_undated:Tarquinia(Viterbo_Lazio)_:TAQ004,1.71,0.66,0.95,0.36,48.5,23.89,0,0,5.59,0,17.87,0.48
    C.Italy_Etruscan_related:Tarquinia(Viterbo_Lazio)_346-51BCE:TAQ005,1.39,0.44,5.14,0,46.29,17.75,0.22,0.33,8.86,0.41,18.68,0.49
    C.Italy_Etruscan_undated:Tarquinia(Viterbo_Lazio)_:TAQ006,1.18,0,3.59,0,42.96,25.05,0.15,0,2.83,0,24.24,0
    C.Italy_Etruscan.Afr:Tarquinia(Viterbo_Lazio)_391-207BCE:TAQ007,3.25,0.65,8.19,0,33.36,6.55,0.82,0,13.72,0.07,31.87,1.52
    C.Italy_Etruscan_undated:Tarquinia(Viterbo_Lazio):TAQ008,4.27,1.3,0.28,0.84,49.67,21.5,0,0,3.99,0,17.53,0.63
    C.Italy_Early.Medieval:Tarquinia(Viterbo_Lazio)_899-1021CE:TAQ009,4.13,0.23,2.43,0.82,33.16,19.69,0.14,0,9.54,0,28.81,1.06
    C.Italy_Etruscan_undated:Tarquinia(Viterbo_Lazio):TAQ010,0,0,1.32,0.05,48.43,24.81,0.71,0,4.04,0,20.41,0.24
    C.Italy_Early.Medieval:Tarquinia(Viterbo_Lazio)_895-1016CE:TAQ011,6.51,0.15,1.38,0.03,33.17,19.02,0,1.09,10.21,0,27.5,0.96
    C.Italy_Etruscan_undated:Tarquinia(Viterbo_Lazio):TAQ012,3.32,0,1.79,0,51.8,17.96,0.72,0,7.3,0,16.79,0.33
    C.Italy_Etruscan_undated:Tarquinia(Viterbo_Lazio):TAQ013,2.83,1.64,1.78,0,46.46,21.33,0,0,6.68,0,19.04,0.23
    C.Italy_Etruscan:Tarquinia(Viterbo_Lazio)_346-51BCE:TAQ015,1.72,0,2.42,0,46.31,21.99,0,0,6.46,0.63,19.66,0.81
    C.Italy_Etruscan_undated:Tarquinia(Viterbo_Lazio):TAQ016,2.43,0,1.67,0,46.91,24.12,0.84,0,5.34,0,18.06,0.63
    C.Italy_Etruscan_related:Tarquinia(Viterbo_Lazio)_356-96BCE:TAQ017,4.08,0,1.96,0,48.92,20.11,0,0,5.6,0,19.12,0.21
    C.Italy_Etruscan_related:Tarquinia(Viterbo_Lazio)_346-51BCE:TAQ018,0,0,0.47,0,48.53,20.84,0.43,0,6.5,1.43,20.91,0.89
    C.Italy_Etruscan:Tarquinia(Viterbo_Lazio)_358-98BCE:TAQ019,0.49,0,2.18,0,47.66,24.5,0.17,0,5.48,0.04,19.27,0.21
    C.Italy_Imperial:Tarquinia(Viterbo_Lazio)_89-236CE:TAQ020,9.02,0.66,1.49,0.5,34.13,18.73,0.12,0,7.43,0,27.92,0
    C.Italy_Imperial:Tarquinia(Viterbo_Lazio)_262-424CE:TAQ021,3.74,0,2.51,0,33.22,11.47,2.01,0,12.62,0,34.44,0
    C.Italy_Early.Medieval:Tarquinia(Viterbo_Lazio)_1018-1151CE:TAQ022,5.66,0,2.84,0,34.54,19.74,2.22,0,6.34,0,28.11,0.54
    C.Italy_Etruscan.Afr:Tarquinia(Viterbo_Lazio)_396-216BCE:TAQ023,0.11,0,9.86,0,38.6,11.68,0.88,1.34,10.18,0,26.04,1.31
    C.Italy_Etruscan:Tarquinia(Viterbo_Lazio)_356-96BCE:TAQ024,1.55,0.2,4.01,0.27,46.92,21.83,0,0.36,4.57,0,20.29,0
    C.Italy_Etruscan_UDC_P:Chiostraccio(Siena_Tuscany)_174-53BCE:UDC_P,0,0,4.31,0,52.14,29.39,0,0,0.89,0,13.22,0.04
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_650-800CE:VEN001,5.14,0,3.87,0.01,28.18,17.6,0,0,11.33,2.38,29.77,1.73
    S.Italy_Venosa_VEN002:Venosa(Potenza_Basilicata)_650-800CE:VEN002,2.79,8.01,0,12.59,16.3,9.93,3.89,0.01,6.34,27.43,12.71,0
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_650-763CE:VEN005,6.66,0,4.28,1.53,32.55,10.92,0,0,10.86,0.37,32.83,0
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_650-763CE:VEN006,8.51,0.54,5.29,0.22,27.14,16.32,0,0,9.76,1.99,30.08,0.16
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_660-766CE:VEN008,4.55,6.58,0,0,36.17,16.54,2.72,0,8.77,0,23.04,1.63
    S.Italy_Venosa_related:Venosa(Potenza_Basilicata)_660-766CE:VEN009,4.96,0,10.9,0.28,29.02,16.26,0,3.03,6.57,0,28.99,0
    S.Italy_Venosa_related:Venosa(Potenza_Basilicata)_670-775CE:VEN010,16.14,0,2.12,1.09,37.1,15.42,0,0.05,13.2,0,14.88,0
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_670-775CE:VEN012,2.86,0,1.41,0.17,24.58,14.71,0,1.75,12.7,5.77,36.03,0.03
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_670-775CE:VEN013,7.7,0,5.12,0,28.43,14.81,0,0,10.94,1.22,30.32,1.45
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_670-775CE:VEN014,12.68,0,5.83,0,33.04,0,0,0.24,17.71,1.35,28.74,0.42
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_670-775CE:VEN015,7.16,0,3.85,0.73,28.62,13.96,0.39,0,13.73,0,30.9,0.64
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_672-800CE:VEN016,6.56,0,6.02,0,25.63,16.98,0,0,13.65,0.44,30.73,0
    S.Italy_Venosa_related:Venosa(Potenza_Basilicata)_672-800CE:VEN017,1.13,1.55,0,0.12,32.91,17.47,3.75,0,12.37,3.07,27.62,0
    S.Italy_Venosa:Venosa(Potenza_Basilicata)_672-800CE:VEN018,9.33,0,3.69,0,27.33,17.18,0,0,19.59,0,20.74,2.14
    S.Italy_Venosa_related:Venosa(Potenza_Basilicata)_672-800CE:VEN021,8.65,0,0.51,3.3,17.54,14.06,0,2.43,21.68,1.47,30.37,0
    S.Italy_Venosa_related:Venosa(Potenza_Basilicata)_672-800CE:VEN022,7.04,0,0,5.28,15.13,25.83,0,0.13,20.82,0,25.77,0
    C.Italy_Etruscan:Vetulonia(Grosseto_Tuscany)_750-406BCE:VET001,1.52,0,2.24,1.15,42.15,23.87,0,1.18,6.3,0,21.57,0
    C.Italy_Etruscan:Vetulonia(Grosseto_Tuscany)_790-550BCE:VET002,0.77,1.24,2.59,0,48.74,18.77,0,0,7.8,0.08,20.03,0
    C.Italy_Etruscan:Vetulonia(Grosseto_Tuscany)_800-590BCE:VET003_4,1.33,0,2.66,0,47.08,21.2,0.25,0.26,7.04,0.15,20.03,0
    C.Italy_Etruscan.Ceu:Vetulonia(Grosseto_Tuscany)_360-200BCE:VET005,7.72,0.55,0,0,43.13,37.83,0,1.41,1.61,0,7.74,0
    C.Italy_Etruscan:Vetulonia(Grosseto_Tuscany)_806-599BCE:VET007,0,0,2.57,0.68,51.02,20.09,0.22,0,6.74,0.42,17.63,0.63
    C.Italy_Etruscan.Afr:Vetulonia(Grosseto_Tuscany)_372-204BCE:VET008,0.41,0,8.27,0,38.29,9.06,0,1.75,12.78,0.04,28.42,0.99
    C.Italy_Etruscan:Vetulonia(Grosseto_Tuscany)_788-545BCE:VET010,0,0,4.61,0.76,48.22,21.92,0.27,0,3.53,0,20.12,0.57
    :Vetulonia(Grosseto_Tuscany)_750-413BCE:VET011,0,0,6.57,0,51.11,17.17,0,2.72,3.32,0,19.1,0
    C.Italy_Etruscan:Vetulonia(Grosseto_Tuscany)_790-550BCE:VEU001,0,0,1.86,2.69,45.76,22.07,0,0.83,3.79,0,23.01,0
    C.Italy_Etruscan:Volterra(Pisa_Tuscany)_200-60BCE:VOL001,0.94,0,1.77,0,44.5,24.66,0.61,0.03,5.61,0,21.4,0.48

  24. #399
    Regular Member Salento's Avatar
    Join Date
    30-05-17
    Posts
    5,097

    Y-DNA haplogroup
    T1a2 - SK1480
    MtDNA haplogroup
    H12a

    Ethnic group
    Italian
    Country: United States



    4 members found this post helpful.
    Quote Originally Posted by Lukas View Post
    You missed some Saupe-2021, … some extra samples:
    Code:
    utigBRC001_023:Saupe_2021,0,0,3.47,0,54.97,4.94,0,0.75,9.95,0,24.98,0.94
    utigGLR001A1:Saupe_2021,0,1.77,4.40,0,58.27,5.15,0,0,11.05,0.22,17.72,1.41
    utigBRC003:Saupe_2021,1.48,0,2.35,1.33,46.70,24.27,0,0,5.74,0,17.40,0.74
    utigLSC005A1_013:Saupe_2021,0,0,2.64,1.84,57.50,6.67,0,0,9.34,0,21.45,0.55
    ETR001_Imperial_Rome_Chiusi_Tuscany,8.19,0,2.62,0.45,33.92,11.31,0,0,12.02,0,31.49,0
    VK442_Viking_Sweden_Oland,6.44,0.77,1.92,0.48,37.64,36.49,0.00,0.00,1.01,0.00,13.03,2.23
    VK398_Viking_Sweden_Skara,8.38,2.47,0.53,0.00,35.05,41.08,0.00,0.00,0.48,0.00,9.88,2.14
    VK17_Viking_Russia_Ladoga,2.47,2.89,0.05,0.68,28.23,60.27,0.00,0.00,0.06,0.00,3.77,1.58
    VK534_Viking_Foggia_Apulia,4.06,0.00,3.55,0.35,22.53,17.31,0.00,0.85,12.20,1.21,36.33,1.61
    VK535_Viking_Foggia_Apulia,8.59,0.00,5.60,1.09,27.21,14.69,0.00,0.80,12.43,0.00,28.19,1.39
    VK536_Viking_Foggia_Apulia,5.89,1.85,3.79,0.00,32.54,15.84,0.00,0.00,8.95,0.00,29.54,1.61
    VK537_Viking_Foggia_Apulia,5.21,0.93,4.78,0.00,26.19,16.86,0.95,0.70,11.33,0.35,31.41,1.30
    VK538_Viking_Foggia_Apulia,5.67,0.03,1.37,1.02,31.40,31.69,0.00,0.00,7.51,0.17,19.83,1.30
    Kars537_LBK_EN_Karsdorf_Germany,0,0,3.81,0.14,50.90,0,0,0.68,15.71,0,28.76,0
    I0700_Malak_Preslavets_Balkans_MP_Neolithic,0,0,2.21,0.37,42.93,36.24,0,0,7.78,0.22,9.65,0.61
    KOB003_Kolin-Staralka_Funnelbeaker_Bohemia,0,0,3.81,0,53.94,16.35,0,0,8.50,0,17.40,0
    KOB007_Kolin-Staralka_Funnelbeaker_Bohemia,0,0,0,0,57.20,17.89,0,2.49,6.68,0,15.74,0

  25. #400
    Regular Member
    Join Date
    11-08-18
    Location
    Lugo - Galicia
    Posts
    61

    Y-DNA haplogroup
    J2b2-L283 CTS3617
    MtDNA haplogroup
    H1

    Ethnic group
    Galician
    Country: Spain - Galicia



    I dont understand, I run my gedmatch and my brothers gedmatch and results are different:

    Ancient matches in my case: 4,58 Medieval Catalonia-Valencia / 5,99 Roman&Visigothic Iberia / 7,24 Villanovans / 8,03 Etruscans / 8,73 Bronze Age Illiryans / 9,34 Latins / 10,40 Bell Beaker Hungary
    Actual matches in my case: 5,49 Italian Aosta Valley / 5,82 Spanish Baleares / 5,90 Portuguese / 5,96 Swiss Italian
    23&me: 100% European, 94,7% Galician, 5,2 French&German.

    Ancient matches in my brothers case: 5,59 Medieval Catalonia Valencia / 6,56 Latins / 7,54 Etruscans / 8,90 Roman&Visigothic Iberia / 9,18 Early Bronze Age Southern France / 10,48 Villanovans
    Actual matches in my brothers case: Everything Spanish 2,36 Valencia / 2,43 Catalonia / 2,88 CastillaLeon / 3,29 Baleares / 3,67 Aragon / 3,77 Andalusia / 3,99 Galicia / 4,27 Cantabria / 5,96 Asturias
    23&me: 100% European, 100% Galician.

    As I can understand, these distribution doesnt mean you are genetically related to those ancient or actual populations, it only means genetic distribution (Gedrosia-West Mediterranean, etc...) is similar to the one you are comparing with.

    Runnning last ancient update of mine:Ancient.jpg





    Running last anciente update of my brother: Ancient isaac.jpg

  26. #401
    Regular Member
    Join Date
    11-08-18
    Location
    Lugo - Galicia
    Posts
    61

    Y-DNA haplogroup
    J2b2-L283 CTS3617
    MtDNA haplogroup
    H1

    Ethnic group
    Galician
    Country: Spain - Galicia




    Seeing these differences between my brother and me... how accurate could be a prediction about related populations taking very few individuals of an ancient culture based on these models? Sometimes I see geneticists talking about some "dogmas" without archeological facts... how accurate could be their opinions ONLY based on genetic models?

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