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Duarte said:
Hi torzio,
No, I don't have many. "Vahaduo Dodecad K12b New Spreadsheet", default samples plus old samples, only registered for me two samples from Collegno (CL94 and CL23) and none from Szólád.
Click to expand...


my one in post #252 is full of them.......with a few of the originals

bottom of #252 is the CL23 results.......he is same as me in ydna , that is why i included him
 
Duarte said:
@mlukas
More some samples to help to create Dodecad K12b Ancient. Now Collegno and Szólád:

CL23,6.00,1.15,3.48,0.00,36.14,24.04,0.16,0.59,7.04,0.00,21.33,0.07
CL25,9.15,0.00,2.75,0.00,27.51,8.71,1.71,0.47,11.96,0.00,37.75,0.00
CL30,9.65,0.29,3.29,0.16,24.88,7.36,0.00,0.00,15.59,0.00,38.78,0.00
CL31,6.24,0.00,0.29,4.32,25.71,10.65,1.60,2.08,8.62,16.23,24.27,0.00
CL47,4.77,0.00,0.73,0.48,36.62,34.27,0.00,0.00,5.25,0.00,17.40,0.48
CL38,9.60,0.00,1.85,0.44,24.91,8.55,0.00,0.16,14.08,0.00,39.63,0.78
CL36,6.48,0.00,0.90,0.00,34.87,22.28,0.00,0.47,7.96,0.90,25.47,0.68
CL53,8.53,0.00,2.56,1.16,32.56,36.16,1.12,0.00,0.00,0.00,17.91,0.00
CL57,7.93,0.64,1.36,0.00,33.48,33.88,0.00,0.00,4.86,0.00,17.12,0.73
CL49,2.92,0.72,2.04,0.00,35.14,32.01,1.12,0.00,3.48,0.00,22.18,0.37
CL63,8.17,0.00,2.12,0.16,33.38,37.08,0.00,0.00,2.38,0.00,16.59,0.12
CL83,9.14,0.28,0.58,0.26,37.97,45.11,0.00,0.00,2.42,0.00,4.15,0.08
CL84,6.57,0.50,0.00,0.00,38.31,47.28,0.00,0.00,2.16,0.00,5.18,0.00
CL87,8.15,0.44,0.00,0.00,39.39,42.27,0.00,0.00,3.19,0.00,6.06,0.45
CL92,8.70,2.44,1.56,0.00,36.85,47.01,0.00,0.41,0.00,0.00,3.03,0.00
CL93,9.85,0.24,0.00,0.00,36.11,48.86,0.00,1.22,0.00,0.00,3.65,0.06
CL94,5.52,0.00,3.55,0.97,38.92,30.19,0.81,0.00,3.37,0.00,16.69,0.00
CL97,6.63,2.20,1.34,2.60,31.69,41.34,0.00,0.73,0.94,0.00,12.51,0.00
CL110,8.94,2.27,0.00,0.00,25.75,14.78,0.00,4.00,8.83,0.00,32.68,2.73
CL102,6.01,0.09,0.00,0.00,37.13,35.21,0.00,0.00,5.52,0.76,15.28,0.00
CL145,9.92,0.00,0.00,0.00,35.06,49.04,0.52,0.75,0.00,0.00,4.33,0.39
CL151,10.25,0.00,0.53,0.00,34.86,50.10,1.09,0.35,0.00,0.00,2.40,0.42
CL121,9.68,0.00,4.39,0.00,30.76,14.90,0.00,0.00,9.28,0.00,29.94,1.05
CL146,8.32,0.08,0.30,0.00,34.97,50.00,0.80,1.15,0.00,0.00,4.34,0.00
SZ1,4.29,3.44,3.25,0.00,28.24,25.58,0.87,0.18,6.87,3.48,23.79,0.00
SZ2,9.36,0.00,0.00,0.00,33.46,53.49,0.00,0.00,0.00,0.00,2.37,1.43
SZ3,7.98,0.16,0.00,0.00,38.82,39.19,0.00,0.78,2.62,0.00,10.43,0.00
SZ4,7.85,0.87,0.30,0.00,33.91,50.04,0.43,0.00,0.75,0.00,5.34,0.51
SZ5,6.12,1.66,0.72,0.00,32.72,38.67,0.40,0.00,2.81,0.00,16.76,0.15
SZ6,3.82,1.05,0.00,0.00,35.28,37.98,0.00,0.29,5.67,0.00,15.91,0.00
SZ7,8.27,0.00,0.00,0.00,34.72,47.14,0.51,0.32,1.78,0.00,6.96,0.29
SZ8,5.73,0.00,0.00,0.00,36.87,40.78,0.00,0.00,2.12,0.00,13.85,0.65
SZ9,9.39,0.00,0.00,0.00,35.66,51.13,1.01,0.43,0.00,0.00,2.09,0.25
SZ11,8.79,0.12,0.00,0.00,33.57,46.48,0.00,0.00,0.20,0.11,10.04,0.69
SZ12,7.64,0.00,0.24,0.00,34.09,46.15,0.91,0.26,0.20,0.00,10.51,0.00
SZ13,8.10,0.00,0.32,0.00,33.18,49.56,0.26,0.00,0.00,0.00,8.46,0.13
SZ14,10.42,0.00,0.00,0.52,34.98,41.73,0.00,0.00,3.23,0.00,8.38,0.74
SZ15,9.16,1.46,0.00,0.53,34.40,45.48,0.81,0.00,0.88,0.00,6.81,0.47
SZ16,10.65,0.98,0.13,0.00,35.89,50.69,0.00,0.00,0.00,0.00,1.51,0.16
SZ18,6.58,0.00,2.05,0.00,33.05,35.87,0.00,0.00,4.53,1.11,16.74,0.07
SZ19,1.57,0.00,1.51,0.00,36.36,14.95,0.00,0.00,10.04,0.00,35.34,0.22
SZ20,0.00,0.00,0.00,4.38,25.58,34.44,4.79,0.00,0.00,0.00,30.82,0.00
SZ22,8.26,0.00,0.00,0.00,33.38,48.32,1.44,0.00,0.00,0.63,7.28,0.68
SZ23,8.82,0.69,0.00,0.00,35.39,42.07,0.00,0.00,1.83,0.00,10.75,0.45
SZ24,6.45,0.17,0.00,0.72,33.63,45.85,0.65,0.00,2.28,0.09,9.68,0.48
SZ25,8.36,3.39,0.00,0.95,29.03,45.14,0.18,2.62,0.29,0.62,9.41,0.00
SZ27,9.39,0.56,0.00,0.00,31.56,33.94,0.08,0.00,4.81,0.00,19.35,0.32
SZ28,2.85,0.00,1.88,0.00,38.56,26.04,1.58,0.17,5.31,0.55,23.05,0.00
SZ30,9.81,0.00,1.07,0.00,33.04,44.28,0.99,0.00,0.00,0.62,9.39,0.80
SZ31,5.14,0.00,2.09,0.00,33.09,22.65,0.00,0.93,8.11,0.00,28.00,0.00
SZ35,0.12,0.00,0.00,4.53,27.70,12.28,0.00,0.97,28.13,0.00,26.26,0.00
SZ36,5.31,0.00,2.69,0.00,32.16,22.10,0.15,0.00,9.96,0.00,27.22,0.41
SZ37,5.09,0.92,3.42,0.00,28.94,24.21,0.00,0.41,8.79,0.00,28.11,0.11
SZ38,7.72,0.00,0.00,0.51,35.07,43.13,0.25,0.92,2.80,0.00,8.98,0.62
SZ40,6.88,0.00,2.06,0.00,33.24,12.47,0.00,0.00,11.10,0.00,33.41,0.84
SZ41,3.73,0.00,0.00,0.00,33.87,52.79,0.26,0.00,0.87,0.11,6.59,1.76
SZ42,8.55,0.00,0.00,0.00,33.30,45.35,0.00,0.00,1.67,0.00,10.51,0.62
SZ43,4.95,0.00,1.98,0.56,35.82,22.96,0.26,0.05,6.31,0.00,26.81,0.30
SZ45,6.09,0.00,0.47,0.00,35.11,33.72,0.00,0.96,5.97,1.16,15.94,0.59

gzqLFt7.jpg

Source:

Collegno Longobards on GEDmatch

Kit Number: UU5731879
Name: CL23

Kit Number: QD2543537
Name: CL25

Kit Number: NZ1152016
Name: CL30

Kit Number: WK4740429
Name: CL31

Kit Number: RS3778199
Name: CL47

Kit Number: SW6326785
Name: CL38

Kit Number: WU7470506
Name: CL36

Kit Number: NC7956297
Name: CL53

Kit Number: RP8536010
Name: CL57

Kit Number: BR2498284
Name: CL49

Kit Number: WG5925191
Name: CL63

Kit Number: GF5389415
Name: CL83

Kit Number: XA3720720
Name: CL84

Kit Number: PE7670115
Name: CL87

Kit Number: DV8389110
Name: CL92

Kit Number: LP1921598
Name: CL93

Kit Number: ZQ6809113
Name: CL94

Kit Number: CA9725839
Name: CL97

Kit Number: SJ4379167
Name: CL110

Kit Number: HU4726947
Name: CL102

Kit Number: SU3968596
Name: CL145

Kit Number: UK8807731
Name: CL151

Kit Number: GL9210858
Name: CL121

Kit Number: XW7223819
Name: CL146


And here are all of the Szólád samples on Gedmatch:

Kit Number: LX9522162
Name: SZ1

Kit Number: DQ5538890
Name: SZ2

Kit Number: XL9733057
Name: SZ3

Kit Number: UA7388446
Name: SZ4

Kit Number: SE6751075
Name: SZ5

Kit Number: LL1292414
Name: SZ6

Kit Number: UX4123860
Name: SZ7

Kit Number: UG6245064
Name: SZ8

Kit Number: LY7666778
Name: SZ9

Kit Number: WX9701878
Name: SZ11

Kit Number: RT8592756
Name: SZ12

Kit Number: RP1749276
Name: SZ13

Kit Number: HM6319499
Name: SZ14

Kit Number: RD7767956
Name: SZ15

Kit Number: JB8452859
Name: SZ16

Kit Number: GP9641645
Name: SZ18

Kit Number: QA1470938
Name: SZ19

Kit Number: UB5566403
Name: SZ20

Kit Number: ZK5912932
Name: SZ22

Kit Number: SX7411199
Name: SZ23

Kit Number: FJ2528471
Name: SZ24

Kit Number: SG8142119
Name: SZ25

Kit Number: EY6160897
Name: SZ27

Kit Number: AW3972989
Name: SZ28

Kit Number: EJ9998826
Name: SZ30

Kit Number: NM6192702
Name: SZ31

Kit Number: UU6914129
Name: SZ32

Kit Number: DB9262516
Name: SZ35

Kit Number: BY5848416
Name: SZ36

Kit Number: BF8929036
Name: SZ37

Kit Number: ZJ3278878
Name: SZ38

Kit Number: TZ5280008
Name: SZ40

Kit Number: DH1542070
Name: SZ41

Kit Number: QF6361492
Name: SZ42

Kit Number: JH3368939
Name: SZ43

Kit Number: LN6607043
Name: SZ45
Click to expand...

Thank you Duarte. Thanks to Jovialis too.



[TABLE="class: distances"]
[TR]
[TD="bgcolor: #7FFF00, align: right"]3.74228540[/TD]
[TD]TSI30[/TD]
[/TR]
[TR]
[TD="bgcolor: #BFFF00, align: right"]5.60898387[/TD]
[TD]Tuscan[/TD]
[/TR]
[TR]
[TD="bgcolor: #D0FF00, align: right"]6.11292074[/TD]
[TD]North_Italian[/TD]
[/TR]
[TR]
[TD="bgcolor: #D7FF00, align: right"]6.32979463[/TD]
[TD]N_Italian[/TD]
[/TR]
[TR]
[TD="bgcolor: #D8FF00, align: right"]6.36315173[/TD]
[TD]SZ43[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFF900, align: right"]7.68900514[/TD]
[TD]CL36[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFE100, align: right"]8.38781259[/TD]
[TD]SZ28[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFDC00, align: right"]8.54175041[/TD]
[TD]O_Italian[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFD000, align: right"]8.87561829[/TD]
[TD]C_Italian[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFCC00, align: right"]8.99296392[/TD]
[TD]SZ31[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFCC00, align: right"]9.00708055[/TD]
[TD]CL23[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFC800, align: right"]9.10498215[/TD]
[TD]IA_Castel_di_Decima_R1016[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFBE00, align: right"]9.40529638[/TD]
[TD]LA_Celio_R36[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFB700, align: right"]9.61917356[/TD]
[TD]IA_Veio_Grotta_Gramiccia_R1015[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFB100, align: right"]9.80181106[/TD]
[TD]IA_Protovillanovan_Martinsicuro_R1[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFA500, align: right"]10.14013314[/TD]
[TD]SZ36[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFA000, align: right"]10.29759195[/TD]
[TD]LA_S_Ercolano_Necropolis_Ostia_R118[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF9000, align: right"]10.76144972[/TD]
[TD]IA_Civitavecchia_R474[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF8C00, align: right"]10.89582948[/TD]
[TD]IA_Boville_Ernica_R1021[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF8B00, align: right"]10.91793937[/TD]
[TD]IA_Civitavecchia_R473[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF6800, align: right"]11.93190680[/TD]
[TD]SZ19[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF4600, align: right"]12.94033230[/TD]
[TD]MA_Tivoli_Palazzo_Cianti_R969[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF4000, align: right"]13.11815917[/TD]
[TD]CL121[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF3E00, align: right"]13.18377791[/TD]
[TD]IA_Latin_Ardea_R851[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF3C00, align: right"]13.23101281[/TD]
[TD]MA_Tivoli_Palazzo_Cianti_R970[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF3600, align: right"]13.42359490[/TD]
[TD]SZ37[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF3300, align: right"]13.49423210[/TD]
[TD]SZ40[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF2900, align: right"]13.78290245[/TD]
[TD]LA_S_Ercolano_Necropolis_Ostia_R121[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF2200, align: right"]13.98591792[/TD]
[TD]Imperial_Civitanova_Marche_R836[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF1F00, align: right"]14.09673366[/TD]
[TD]IA_Latin_Prenestina_Selicata_R437[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF1600, align: right"]14.36188010[/TD]
[TD]MA_Villa_Magna_R1290[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0001, align: right"]15.04395892[/TD]
[TD]CL49[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0006, align: right"]15.18034585[/TD]
[TD]MA_Villa_Magna_R60[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0008, align: right"]15.24360194[/TD]
[TD]SZ1[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF000A, align: right"]15.29054937[/TD]
[TD]CL94[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF000F, align: right"]15.43267961[/TD]
[TD]Imperial_Monterotondo_R1549[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0013, align: right"]15.55414093[/TD]
[TD]IA_Civitavecchia_R475[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0014, align: right"]15.60190373[/TD]
[TD]MA_Tivoli_Palazzo_Cianti_R973[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0018, align: right"]15.70859319[/TD]
[TD]Baleares[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF002A, align: right"]16.24219813[/TD]
[TD]MA_Villa_Magna_R59[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF003D, align: right"]16.78342039[/TD]
[TD]MA_Villa_Magna_R57[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0053, align: right"]17.44167136[/TD]
[TD]Greek[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0056, align: right"]17.53070449[/TD]
[TD]Sicilian[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF005B, align: right"]17.68129237[/TD]
[TD]IA_Latin_Prenestina_Colombella_R435[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF005E, align: right"]17.77509212[/TD]
[TD]S_Italian_Sicilian[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0066, align: right"]17.99878607[/TD]
[TD]MA_Villa_Magna_R65[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0068, align: right"]18.04604943[/TD]
[TD]Galicia[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0072, align: right"]18.35835232[/TD]
[TD]CL47[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0077, align: right"]18.48941589[/TD]
[TD]Extremadura[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0077, align: right"]18.50714186[/TD]
[TD]CL110[/TD]
[/TR]
[/TABLE]


With the K12b updated:
[TABLE="class: distances"]
[TR]
[TD="bgcolor: #72FF00, align: right"]3.35070082[/TD]
[TD]France_Corsica[/TD]
[/TR]
[TR]
[TD="bgcolor: #C8FF00, align: right"]5.88253772[/TD]
[TD]Italy_Tuscany[/TD]
[/TR]
[TR]
[TD="bgcolor: #CEFF00, align: right"]6.05046701[/TD]
[TD]Italy_Emilia[/TD]
[/TR]
[TR]
[TD="bgcolor: #D8FF00, align: right"]6.36315173[/TD]
[TD]SZ43[/TD]
[/TR]
[TR]
[TD="bgcolor: #DCFF00, align: right"]6.46549999[/TD]
[TD]Italy_Liguria[/TD]
[/TR]
[TR]
[TD="bgcolor: #FCFF00, align: right"]7.41275253[/TD]
[TD]Italy_Romagna[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFFF00, align: right"]7.49533572[/TD]
[TD]Italy_Lombardy[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFF900, align: right"]7.68900514[/TD]
[TD]CL36[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFE100, align: right"]8.38781259[/TD]
[TD]SZ28[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFCC00, align: right"]8.99296392[/TD]
[TD]SZ31[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFCC00, align: right"]9.00708055[/TD]
[TD]CL23[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFC800, align: right"]9.10498215[/TD]
[TD]IA_Castel_di_Decima_R1016[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFBF00, align: right"]9.37771817[/TD]
[TD]Italy_Marche[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFBE00, align: right"]9.40447500[/TD]
[TD]Italy_Piedmont[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFBE00, align: right"]9.40529638[/TD]
[TD]LA_Celio_R36[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFB700, align: right"]9.61917356[/TD]
[TD]IA_Veio_Grotta_Gramiccia_R1015[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFB100, align: right"]9.80181106[/TD]
[TD]IA_Protovillanovan_Martinsicuro_R1[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFB000, align: right"]9.81684050[/TD]
[TD]Italy_Veneto[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFA500, align: right"]10.14013314[/TD]
[TD]SZ36[/TD]
[/TR]
[TR]
[TD="bgcolor: #FFA000, align: right"]10.29759195[/TD]
[TD]LA_S_Ercolano_Necropolis_Ostia_R118[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF9C00, align: right"]10.41448482[/TD]
[TD]Italy_Lazio[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF9000, align: right"]10.76144972[/TD]
[TD]IA_Civitavecchia_R474[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF8C00, align: right"]10.89582948[/TD]
[TD]IA_Boville_Ernica_R1021[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF8B00, align: right"]10.91793937[/TD]
[TD]IA_Civitavecchia_R473[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF7800, align: right"]11.46905892[/TD]
[TD]Swiss_Italian[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF6800, align: right"]11.93190680[/TD]
[TD]SZ19[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF4B00, align: right"]12.79029632[/TD]
[TD]Italy_Trentino[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF4600, align: right"]12.93960726[/TD]
[TD]Italy_FriuliVG[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF4600, align: right"]12.94033230[/TD]
[TD]MA_Tivoli_Palazzo_Cianti_R969[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF4000, align: right"]13.11815917[/TD]
[TD]CL121[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF3E00, align: right"]13.18377791[/TD]
[TD]IA_Latin_Ardea_R851[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF3C00, align: right"]13.23101281[/TD]
[TD]MA_Tivoli_Palazzo_Cianti_R970[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF3600, align: right"]13.42359490[/TD]
[TD]SZ37[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF3300, align: right"]13.49423210[/TD]
[TD]SZ40[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF2900, align: right"]13.78290245[/TD]
[TD]LA_S_Ercolano_Necropolis_Ostia_R121[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF2200, align: right"]13.98591792[/TD]
[TD]Imperial_Civitanova_Marche_R836[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF1F00, align: right"]14.09673366[/TD]
[TD]IA_Latin_Prenestina_Selicata_R437[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF1700, align: right"]14.31793630[/TD]
[TD]Albanian_Kosovo[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF1600, align: right"]14.36188010[/TD]
[TD]MA_Villa_Magna_R1290[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0C00, align: right"]14.65967257[/TD]
[TD]Albanian_North[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0A00, align: right"]14.71938139[/TD]
[TD]Italy_Aosta_Valley[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0900, align: right"]14.73174123[/TD]
[TD]Italy_Abruzzo[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0001, align: right"]15.04395892[/TD]
[TD]CL49[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0006, align: right"]15.18034585[/TD]
[TD]MA_Villa_Magna_R60[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0008, align: right"]15.24360194[/TD]
[TD]SZ1[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF000A, align: right"]15.29054937[/TD]
[TD]CL94[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF000F, align: right"]15.43267961[/TD]
[TD]Imperial_Monterotondo_R1549[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0013, align: right"]15.55414093[/TD]
[TD]IA_Civitavecchia_R475[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0014, align: right"]15.60190373[/TD]
[TD]MA_Tivoli_Palazzo_Cianti_R973[/TD]
[/TR]
[TR]
[TD="bgcolor: #FF0018, align: right"]15.70859319[/TD]
[TD]Baleares[/TD]
[/TR]
[/TABLE]

It seems I'm highest to the Szolad and Collegno samples which have some IBS ancestry as well as TSI, and especially some smaller amount of GB and CEU.
 
mlukas said:
Author wasn't me, Davidski or Sikeliot. I can't say who but the same who sent it for K13.
Click to expand...
Could we get links to the original files; Are there BAM files, like the Ancient Rome paper? There are a lot of duplicitous characters in this community, unfortunately. Not accusing you of that, but it would be great to verify the file, since we don't know the origin. At any rate, thanks for all you've contributed thus far.
 
@Duarte, I've been producing them in AncestryDNA format. Just a heads up to keep it consistent :)

This is a wonderful undertaking imo.
 
Can you post guys your Dodecad K12b Upodated SINGLE results? Without ancients but using new Italian?
 
Jovialis said:
Could we get links to the original files; Are there BAM files, like the Ancient Rome paper? There are a lot of duplicitous characters in this community, unfortunately. Not accusing you of that, but it would be great to verify the file, since we don't know the origin. At any rate, thanks for all you've contributed thus far.
Click to expand...

I responded about Dodecad K12b Italian list to Angela. Maybe I was misundestood. It wasn't about K13 Ancient.
 
torzio said:
my one in post #252 is full of them.......with a few of the originals

bottom of #252 is the CL23 results.......he is same as me in ydna , that is why i included him
Click to expand...

Thanks by explanation Torzio. Cheers:)
 
Jovialis said:
@Duarte, I've been producing them in AncestryDNA format. Just a heads up to keep it consistent :)

This is a wonderful undertaking imo.
Click to expand...

Thanks for the alert Jovialis. When converting the ancient Rome samples files, that were in BAM format, I chose the option recommended by WGS EXTRACT: “Combined Kit All SNPs”. The final file generated is in the txt format. Cheers:)
 
Duarte said:
Thanks for the alert Jovialis. When converting the ancient Rome samples files, that were in BAM format, I chose the option recommended by WGS EXTRACT: “Combined Kit All SNPs”. The final file generated is in the txt format. Cheers:)
Click to expand...

I choose to put it in Ancestry format, is because it works best with Admixture Studio, where I got the results from.
 
mlukas said:
Can you post guys your Dodecad K12b Upodated SINGLE results? Without ancients but using new Italian?
Click to expand...

@mlukas
I am not Italian, but here we go:

Dodecad K12b updated spreadsheet:
8J0unQY.png

CFZu4QL.png


Dodecad K12b original spreadsheet:
ktsf9JH.png

zr71moJ.png
 
Jovialis said:
I choose to put it in Ancestry format, is because it works best with Admixture Studio, where I got the results from.
Click to expand...

Hi Jovialis.
I purchased Admix Studio PRO. The results obtained from upload the files generated by WGS in the recommended format were displayed in 1 or 2 minutes by Admix Studio. Very fast. It worked very well with me. Cheers :)
 
Duarte said:
Hi Jovialis.
I purchased Admix Studio PRO. The results obtained from upload the files generated by WGS in the recommended format were displayed in 1 or 2 minutes by Admix Studio. Very fast. It worked very well with me. Cheers :)
Click to expand...

I bought the Pro version as well. The files are processed much faster than the regular version.
 
[h=2]Dodecad K12b Oracle results:[/h]The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Kit M174504

Admix Results (sorted):

Population

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]
[TD="width: 120"]North_European[/TD]
[TD="width: 50, align: right"]44.49[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]Atlantic_Med[/TD]
[TD="width: 50, align: right"]36.86[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]Caucasus[/TD]
[TD="width: 50, align: right"]9.54[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Gedrosia[/TD]
[TD="width: 50, align: right"]7.66[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]Southwest_Asian[/TD]
[TD="width: 50, align: right"]1.34[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Sub_Saharan[/TD]
[TD="width: 50, align: right"]0.1[/TD]

Single Population Sharing:

Population (source)

[TD="align: center"] # [/TD]

[TD="align: right"] Distance [/TD]

[TD="align: center"]1[/TD]
[TD="width: 220"]Mixed_Germanic (Dodecad)[/TD]
[TD="width: 50, align: right"]4.34[/TD]

[TD="width: 40, align: center"]2[/TD]
[TD="width: 220"]German (Dodecad)[/TD]
[TD="width: 50, align: right"]4.98[/TD]

[TD="width: 40, align: center"]3[/TD]
[TD="width: 220"]Dutch (Dodecad)[/TD]
[TD="width: 50, align: right"]5.27[/TD]

[TD="width: 40, align: center"]4[/TD]
[TD="width: 220"]CEU30 (1000Genomes)[/TD]
[TD="width: 50, align: right"]7.58[/TD]

[TD="width: 40, align: center"]5[/TD]
[TD="width: 220"]Kent (1000Genomes)[/TD]
[TD="width: 50, align: right"]7.6[/TD]

[TD="width: 40, align: center"]6[/TD]
[TD="width: 220"]English (Dodecad)[/TD]
[TD="width: 50, align: right"]7.79[/TD]

[TD="width: 40, align: center"]7[/TD]
[TD="width: 220"]British_Isles (Dodecad)[/TD]
[TD="width: 50, align: right"]8.7[/TD]

[TD="width: 40, align: center"]8[/TD]
[TD="width: 220"]French (Dodecad)[/TD]
[TD="width: 50, align: right"]9.79[/TD]

[TD="width: 40, align: center"]9[/TD]
[TD="width: 220"]Cornwall (1000Genomes)[/TD]
[TD="width: 50, align: right"]10.11[/TD]

[TD="width: 40, align: center"]10[/TD]
[TD="width: 220"]British (Dodecad)[/TD]
[TD="width: 50, align: right"]10.22[/TD]

[TD="width: 40, align: center"]11[/TD]
[TD="width: 220"]French (HGDP)[/TD]
[TD="width: 50, align: right"]10.28[/TD]

[TD="width: 40, align: center"]12[/TD]
[TD="width: 220"]Argyll (1000Genomes)[/TD]
[TD="width: 50, align: right"]10.36[/TD]

[TD="width: 40, align: center"]13[/TD]
[TD="width: 220"]Orkney (1000Genomes)[/TD]
[TD="width: 50, align: right"]10.57[/TD]

[TD="width: 40, align: center"]14[/TD]
[TD="width: 220"]Irish (Dodecad)[/TD]
[TD="width: 50, align: right"]10.76[/TD]

[TD="width: 40, align: center"]15[/TD]
[TD="width: 220"]Orcadian (HGDP)[/TD]
[TD="width: 50, align: right"]10.8[/TD]

[TD="width: 40, align: center"]16[/TD]
[TD="width: 220"]Hungarians (Behar)[/TD]
[TD="width: 50, align: right"]12.09[/TD]

[TD="width: 40, align: center"]17[/TD]
[TD="width: 220"]Norwegian (Dodecad)[/TD]
[TD="width: 50, align: right"]12.7[/TD]

[TD="width: 40, align: center"]18[/TD]
[TD="width: 220"]Swedish (Dodecad)[/TD]
[TD="width: 50, align: right"]14.01[/TD]

[TD="width: 40, align: center"]19[/TD]
[TD="width: 220"]Romanians (Behar)[/TD]
[TD="width: 50, align: right"]22.57[/TD]

[TD="width: 40, align: center"]20[/TD]
[TD="width: 220"]Cataluna (1000Genomes)[/TD]
[TD="width: 50, align: right"]22.9[/TD]

Mixed Mode Population Sharing:

+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @
+ @

[TD="align: center"] # [/TD]
[TD="width: 15"] [/TD]
[TD="colspan: 3"] Primary Population (source) [/TD]
[TD="colspan: 3"] Secondary Population (source) [/TD]
[TD="align: right"] Distance [/TD]

[TD="width: 20, align: center"]1[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]67.5%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]32.5%[/TD]
[TD="width: 200"]French (HGDP)[/TD]

[TD="width: 50, align: right"]0.66[/TD]

[TD="width: 20, align: center"]2[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]89.8%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]10.2%[/TD]
[TD="width: 200"]French_Basque (HGDP)[/TD]

[TD="width: 50, align: right"]0.88[/TD]

[TD="width: 20, align: center"]3[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]84.6%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]15.4%[/TD]
[TD="width: 200"]Valencia (1000Genomes)[/TD]

[TD="width: 50, align: right"]0.9[/TD]

[TD="width: 20, align: center"]4[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]85%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]15%[/TD]
[TD="width: 200"]Aragon (1000Genomes)[/TD]

[TD="width: 50, align: right"]0.96[/TD]

[TD="width: 20, align: center"]5[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]84.1%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]15.9%[/TD]
[TD="width: 200"]Cantabria (1000Genomes)[/TD]

[TD="width: 50, align: right"]1[/TD]

[TD="width: 20, align: center"]6[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]82.4%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]17.6%[/TD]
[TD="width: 200"]Cataluna (1000Genomes)[/TD]

[TD="width: 50, align: right"]1.01[/TD]

[TD="width: 20, align: center"]7[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]82.6%[/TD]
[TD="width: 200"]Dutch (Dodecad)[/TD]

[TD="width: 30, align: right"]17.4%[/TD]
[TD="width: 200"]Bulgarians (Yunusbayev)[/TD]

[TD="width: 50, align: right"]1.07[/TD]

[TD="width: 20, align: center"]8[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]88.1%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]11.9%[/TD]
[TD="width: 200"]Pais_Vasco (1000Genomes)[/TD]

[TD="width: 50, align: right"]1.07[/TD]

[TD="width: 20, align: center"]9[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]83.8%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]16.2%[/TD]
[TD="width: 200"]Spaniards (Behar)[/TD]

[TD="width: 50, align: right"]1.18[/TD]

[TD="width: 20, align: center"]10[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]85%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]15%[/TD]
[TD="width: 200"]Castilla_La_Mancha (1000Genomes)[/TD]

[TD="width: 50, align: right"]1.21[/TD]

[TD="width: 20, align: center"]11[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]81.5%[/TD]
[TD="width: 200"]Dutch (Dodecad)[/TD]

[TD="width: 30, align: right"]18.5%[/TD]
[TD="width: 200"]Romanians (Behar)[/TD]

[TD="width: 50, align: right"]1.26[/TD]

[TD="width: 20, align: center"]12[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]70.8%[/TD]
[TD="width: 200"]Norwegian (Dodecad)[/TD]

[TD="width: 30, align: right"]29.2%[/TD]
[TD="width: 200"]Tuscan (HGDP)[/TD]

[TD="width: 50, align: right"]1.32[/TD]

[TD="width: 20, align: center"]13[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]82.8%[/TD]
[TD="width: 200"]Dutch (Dodecad)[/TD]

[TD="width: 30, align: right"]17.2%[/TD]
[TD="width: 200"]Bulgarian (Dodecad)[/TD]

[TD="width: 50, align: right"]1.36[/TD]

[TD="width: 20, align: center"]14[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]84.1%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]15.9%[/TD]
[TD="width: 200"]Spanish (Dodecad)[/TD]

[TD="width: 50, align: right"]1.37[/TD]

[TD="width: 20, align: center"]15[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]69.9%[/TD]
[TD="width: 200"]Norwegian (Dodecad)[/TD]

[TD="width: 30, align: right"]30.1%[/TD]
[TD="width: 200"]TSI30 (Metspalu)[/TD]

[TD="width: 50, align: right"]1.47[/TD]

[TD="width: 20, align: center"]16[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]54.5%[/TD]
[TD="width: 200"]Cornwall (1000Genomes)[/TD]

[TD="width: 30, align: right"]45.5%[/TD]
[TD="width: 200"]Hungarians (Behar)[/TD]

[TD="width: 50, align: right"]1.51[/TD]

[TD="width: 20, align: center"]17[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]85.9%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]14.1%[/TD]
[TD="width: 200"]Andalucia (1000Genomes)[/TD]

[TD="width: 50, align: right"]1.6[/TD]

[TD="width: 20, align: center"]18[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]72.5%[/TD]
[TD="width: 200"]British_Isles (Dodecad)[/TD]

[TD="width: 30, align: right"]27.5%[/TD]
[TD="width: 200"]Romanians (Behar)[/TD]

[TD="width: 50, align: right"]1.6[/TD]

[TD="width: 20, align: center"]19[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]61.8%[/TD]
[TD="width: 200"]Kent (1000Genomes)[/TD]

[TD="width: 30, align: right"]38.2%[/TD]
[TD="width: 200"]Hungarians (Behar)[/TD]

[TD="width: 50, align: right"]1.64[/TD]

[TD="width: 20, align: center"]20[/TD]
[TD="width: 15"] [/TD]
[TD="width: 30, align: right"]84.3%[/TD]
[TD="width: 200"]German (Dodecad)[/TD]

[TD="width: 30, align: right"]15.7%[/TD]
[TD="width: 200"]Castilla_Y_Leon (1000Genomes)[/TD]

[TD="width: 50, align: right"]1.64

[/TD]
 
mlukas said:
Can you post guys your Dodecad K12b Upodated SINGLE results? Without ancients but using new Italian?
Click to expand...

here is mine

[TABLE="class: distances"]
[TR]
[TH]Distance to:[/TH]
[TH]torziok12b[/TH]
[/TR]
[TR]
[TD]7.31461551[/TD]
[TD]N_Italian[/TD]
[/TR]
[TR]
[TD]10.18906767[/TD]
[TD]Albanian_North[/TD]
[/TR]
[TR]
[TD]10.24966341[/TD]
[TD]O_Italian[/TD]
[/TR]
[TR]
[TD]10.43786377[/TD]
[TD]Albanian_Kosovo[/TD]
[/TR]
[TR]
[TD]10.73141650[/TD]
[TD]North_Italian[/TD]
[/TR]
[TR]
[TD]12.22643039[/TD]
[TD]TSI30[/TD]
[/TR]
[TR]
[TD]13.80326773[/TD]
[TD]Tuscan[/TD]
[/TR]
[TR]
[TD]16.01512098[/TD]
[TD]C_Italian[/TD]
[/TR]
[TR]
[TD]16.27628950[/TD]
[TD]Romanians[/TD]
[/TR]
[TR]
[TD]16.46947479[/TD]
[TD]Baleares[/TD]
[/TR]
[TR]
[TD]17.05822969[/TD]
[TD]Galicia[/TD]
[/TR]
[TR]
[TD]17.07617053[/TD]
[TD]Bulgarian[/TD]
[/TR]
[TR]
[TD]17.12228373[/TD]
[TD]Bulgarians[/TD]
[/TR]
[TR]
[TD]17.86829035[/TD]
[TD]Extremadura[/TD]
[/TR]
[TR]
[TD]17.92111604[/TD]
[TD]French[/TD]
[/TR]
[TR]
[TD]18.06615344[/TD]
[TD]Bosnian[/TD]
[/TR]
[TR]
[TD]18.08995578[/TD]
[TD]French[/TD]
[/TR]
[TR]
[TD]18.38292414[/TD]
[TD]Portuguese[/TD]
[/TR]
[TR]
[TD]20.19489044[/TD]
[TD]Murcia[/TD]
[/TR]
[TR]
[TD]20.45467184[/TD]
[TD]Castilla_Y_Leon[/TD]
[/TR]
[TR]
[TD]20.48964617[/TD]
[TD]Cataluna[/TD]
[/TR]
[TR]
[TD]20.55820031[/TD]
[TD]Greek[/TD]
[/TR]
[TR]
[TD]20.81762715[/TD]
[TD]Spaniards[/TD]
[/TR]
[TR]
[TD]21.12570946[/TD]
[TD]Canarias[/TD]
[/TR]
[TR]
[TD]21.59592091[/TD]
[TD]Andalucia[/TD]
[/TR]
[/TABLE]

below is my second cousin paternal side from trentino

[TABLE="class: distances"]
[TR]
[TH]Distance to:[/TH]
[TH]TrentinoCles[/TH]
[/TR]
[TR]
[TD]6.44526183[/TD]
[TD]N_Italian[/TD]
[/TR]
[TR]
[TD]7.25928371[/TD]
[TD]O_Italian[/TD]
[/TR]
[TR]
[TD]8.00248711[/TD]
[TD]TSI30[/TD]
[/TR]
[TR]
[TD]8.36066385[/TD]
[TD]Albanian_North[/TD]
[/TR]
[TR]
[TD]8.65458260[/TD]
[TD]Albanian_Kosovo[/TD]
[/TR]
[TR]
[TD]8.85180772[/TD]
[TD]North_Italian[/TD]
[/TR]
[TR]
[TD]9.23534515[/TD]
[TD]Tuscan[/TD]
[/TR]
[TR]
[TD]11.75055318[/TD]
[TD]C_Italian[/TD]
[/TR]
[TR]
[TD]15.78782442[/TD]
[TD]Bulgarians[/TD]
[/TR]
[TR]
[TD]16.17671784[/TD]
[TD]Romanians[/TD]
[/TR]
[TR]
[TD]16.32011642[/TD]
[TD]Greek[/TD]
[/TR]
[TR]
[TD]16.48539353[/TD]
[TD]Bulgarian[/TD]
[/TR]
[TR]
[TD]17.86779785[/TD]
[TD]Baleares[/TD]
[/TR]
[TR]
[TD]19.29319051[/TD]
[TD]Galicia[/TD]
[/TR]
[TR]
[TD]20.26273180[/TD]
[TD]Sicilian[/TD]
[/TR]
[TR]
[TD]20.39731845[/TD]
[TD]Extremadura[/TD]
[/TR]
[TR]
[TD]20.46060116[/TD]
[TD]S_Italian_Sicilian[/TD]
[/TR]
[TR]
[TD]21.00889573[/TD]
[TD]Portuguese[/TD]
[/TR]
[TR]
[TD]21.01832296[/TD]
[TD]Bosnian[/TD]
[/TR]
[TR]
[TD]21.73260684[/TD]
[TD]Murcia[/TD]
[/TR]
[TR]
[TD]21.93623942[/TD]
[TD]Crimean_Tatar_Coast[/TD]
[/TR]
[TR]
[TD]22.43484344[/TD]
[TD]Castilla_Y_Leon[/TD]
[/TR]
[TR]
[TD]22.49402143[/TD]
[TD]French[/TD]
[/TR]
[TR]
[TD]22.66954344[/TD]
[TD]Canarias[/TD]
[/TR]
[TR]
[TD]22.69608336[/TD]
[TD]Spaniards[/TD]
[/TR]
[/TABLE]



query
is north_italian = north west italy
and N_Italian = North East Italy ??????

is Albania_North = Durres the capital and near montenegro ?

IIRC TSI30 = another tuscan , unsure from where
 
Edit, misread, this is just the vanilla version.
KLazGek.png

IqXslnD.png
 
Last edited:
mlukas said:
Can you post guys your Dodecad K12b Upodated SINGLE results? Without ancients but using new Italian?
Click to expand...

@mlukas, I repost my Dodecad k12b results with a better resolution

81532568_2187928744848159_352739556576985088_n.jpg


81325838_471518540447761_7320564579694542848_n.jpg
 
These calculator look too over-fitted at default distances. Calculating at 0.25x ADC seems to yield the best fits for me.

K13 Modern:

Target: dosas_K13_updated
Distance: 2.1876% / 2.18762739 | ADC: 0.25x
35.6 Greek_Istanbul
25.6 Greek_Macedonia_Thrace
19.6 Greek_Cappadocian
13.8 Greek_Trabzon
2.4 Talysh
2.0 Turk_Central_East
0.8 Lebanese_Druze
0.2 Papuan

distances:

Distance to: dosas_K13_updated
9.10488331 Greek_Chios
9.66534014 Greek_Istanbul
9.76451740 Greek_Macedonia_Thrace
11.47607511 Turk_Central_West
11.92930006 Greek_Andros_Island
11.98338016 Central_Greek
12.17818952 Greek_Cappadocian
12.42683789 Turk_Anatolia
12.70353494 Turk_North_West
12.73903450 Turk_Central_East
13.04882083 Greek_Dodecanese
13.33643131 Campania
13.42636958 East_Sicilian
13.45735115 Turkish_mixed
13.45896727 Calabria
13.48114238 Sicily
13.98362971 Turk_South
14.00540610 Malta
14.08844917 Apulia
14.35110100 Greek_Symi_Island
14.40695087 GR_Macedonia
14.55444262 Greek_Peloponnese
14.56436404 Greek_Eastern-Thrace
14.57889571 GR_Peloponese
14.77456598 Turk_Cypriot

Ancient:

Distance to: dosas_K13_ancient
10.90837293 CrusaderSI53KingdomofJerusalem
12.86207604 IA_Ardea_R850
13.08955691 i1632_areni_merged
13.12549809 CL30_collegno_italy_longobard
13.48570725 CL38_collegno_italy_longobard
14.40491930 CL25_collegno_italy_longobard
15.81591920 ArmeniaCA_I1631_Armenia_425004050_BC
17.28835157 SZ40_szolad_hungary_longobard
17.56616065 MJ12_Thraco_Kimmerian
17.98795708 Chalcolithic_Age_Anatolian_Barcinhoyuk._Turkey_3943_BC
18.07310156 IA_Prenestina_Selicata_R437
20.05601655 SZ31_szolad_hungary_longobard
20.45721389 CL121_collegno_italy_longobard
22.63874997 SZ1.SG_szolad_hungary_longobard
22.71609121 I3808_morisco_I3808_morisco
22.78710820 SZ37_szolad_hungary_longobard
23.74635762 SZ36.SG_szolad_hungary_longobard
24.22084846 SZ31_Longobard_M_T1a1a_PF5620_U4c2a_6-th_century
24.65392869 SZ32_szolad_hungary_longobard
24.69946558 I7499_Muslim_Iberian_1000_1100_CE2
25.05209572 CL31_collegno_italy_longobard
25.17276902 I8215_2iberia
25.20574141 I8215_3iberia
25.31654400 I3808_iberia
25.35147727 RISE423_Armenian_MBA

K12b is also too over-fitted at default, it looks more streamlined at 0.25 ADC.

Target: dosas_K12b_updated
Distance: 1.6422% / 1.64218861 | ADC: 0.25x
63.8 Crimean_Tatar_Coast
11.4 Cypriots
10.6 Adygei
9.0 Greek
4.2 Ashkenazy_Jews
1.0 Samaritians

Dodecad doesn't have a Pontian Greek reference, so it paints me as a Crimean Tatar, which is totally fine by me :cool-v:.

I still think the G25 project is much more superior to these calculators.
 
Stuvanè said:
@Angela, I'm roughly in your same conditions as actually using these Eurogenes calculators, but if I have to give a preference between the two, the k13 seems to me in my case a bit more realistic and specific in its oracles, although it works with fewer autosomal components

K13

Population
North_Atlantic

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]

[TD="align: right"]28.3[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]East_Med[/TD]
[TD="width: 50, align: right"]22.12[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]West_Med[/TD]
[TD="width: 50, align: right"]21.48[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]Baltic[/TD]
[TD="width: 50, align: right"]13.51[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]West_Asian[/TD]
[TD="width: 50, align: right"]9.73[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Red_Sea[/TD]
[TD="width: 50, align: right"]4.38[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]Siberian[/TD]
[TD="width: 50, align: right"]0.33[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]Northeast_African[/TD]
[TD="width: 50, align: right"]0.16[/TD]



K15

Admix Results (sorted):

Population
Atlantic

[TD="align: center"] # [/TD]

[TD="align: right"] Percent [/TD]

[TD="align: center"]1[/TD]

[TD="align: right"]25.83[/TD]

[TD="width: 30, align: center"]2[/TD]
[TD="width: 120"]East_Med[/TD]
[TD="width: 50, align: right"]18.93[/TD]

[TD="width: 30, align: center"]3[/TD]
[TD="width: 120"]West_Med[/TD]
[TD="width: 50, align: right"]16.08[/TD]

[TD="width: 30, align: center"]4[/TD]
[TD="width: 120"]North_Sea[/TD]
[TD="width: 50, align: right"]11.37[/TD]

[TD="width: 30, align: center"]5[/TD]
[TD="width: 120"]West_Asian[/TD]
[TD="width: 50, align: right"]10.27[/TD]

[TD="width: 30, align: center"]6[/TD]
[TD="width: 120"]Baltic[/TD]
[TD="width: 50, align: right"]8.78[/TD]

[TD="width: 30, align: center"]7[/TD]
[TD="width: 120"]Red_Sea[/TD]
[TD="width: 50, align: right"]4.78[/TD]

[TD="width: 30, align: center"]8[/TD]
[TD="width: 120"]Eastern_Euro[/TD]
[TD="width: 50, align: right"]3.92[/TD]

[TD="width: 30, align: center"]9[/TD]
[TD="width: 120"]Northeast_African[/TD]
[TD="width: 50, align: right"]0.04[/TD]



(As you can see my oracle K15 in Mixed mode becomes an approximate mathematical average among even quite distant populations)
Click to expand...


Two different calculators give different values for the same genetic category, although based on the same data.
You would expect that West Asian, Red Sea, North east Afric an, siberian to be identical in both calcualtors.
Also, you would expect that Baltic in K13 to corresponds perfectly to Baltic + East Eruopean in K15(it's similar but not identical)
Same with North Atlantic of K13, you would expect to be the sum of Atlantic and North Sea. Which it isnt. Not even close.
It seems that Atlantic, North Sea and West MEd are genetic contiuums. Or part of the sequences are shared.
Contiuums seems to be East MEd with Red Sea, and both with West asian. Or share some Sequences.
It seems many for these categories, although should have been identical(and they are similar), two different people drew two different margins in how each is recognized.
The general perceptions that this categories reflect an orderly phylogenetic tree similar to the Y-DNA trees doesnt quite reflect reality, R1a isnt quite the equavalent of Baltic, North Atlantic isnt quite the equavalent of R1b, there is probably a lot of ''east european'' blood in the K13's 'west asian' and 'south asian' categories and so on and so forth.
 
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