Population structure in Italy using ancient and modern samples

**Palermo Trapani** · 26-06-20, 04:14

Ailichu/Jovialis: Model fits using 1) Ancient Sicilian samples from Fernandes et al 2020, 2) Ancient Greeks from Lazaridis et al 2018. Those ancient Sicilian samples in Fernandes et al 2020 were analyzed and indicated that Steppe Ancestry arrived in Sicily in 2200 BC, before the Mycenean's which also had some Steppe ancestry documented. So for me fits are pretty good, but I get slightly better fit with the Ancient Sicilian Samples than the Ancient Greeks but I would think (I will go and check) that some of those Ancient Sicilian Samples are not going to be way, way off from a galaxy far far away from the Ancient Greek samples.

1) Model fit Dodecad 12B using Bronze Age Sicilian samples from Fernandes et al 2020

Target: PalermoTrapani Distance: 6.2704% / 6.27041187 \| ADC: 0.25x
39.2	I4383_Sicily_EBA_lowcov_Vallone_Inferno

32.2	I11443_Sicily_EBA_Buffa_Cave_II

28.6	I7796_Sicily_EBA_Contrada_Paolina_Castellucciana

Model Fits using Dodecad 12B and Ancient Greek Samples from Lazaridis et al 2017 "Genetic origins of the Minoans and Mycenaeans"

Target: PalermoTrapani Distance: 8.5519% / 8.55188147 \| ADC: 0.25x
58.0	I9123_Bronze_Age_Armenoi_Crete

24.4	I9131_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete

17.6	I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese

3) Dodecad model fit using ancient Natufian, Chalcolithic_Levant, and Early_MPPNB_Ain_Ghazal_Jordan samples. Looks like the early Levant Neolithic from the AinGhazal Jordanian site can get me to 14 at best, which again shows some relationship between all Near East Populations as they all stem from some Base Western Eurasian cluster but still enough variation such that Anatolian Farmers, Levant-Neolithic, Caucus HG and Iran Neolithic were distinct genetic clusters, again all somewhat related.

Target: PalermoTrapani Distance: 14.0635% / 14.06345771 \| ADC: 0.25x
56.4	I1415_AG84/2_Late_MPPNB_Ain_Ghazal_Jordan

43.6	I1416_AG83/1_Early_MPPNB_Ain_Ghazal_Jordan

Need to see how well I can fit myself using CHG type ancestry or Iran-Neolithic or similar from Armenia, etc. But based on the Ancient Sicilian samples, the ancient Greek samples and the ancient Levant samples, and the Iron Age Roman samples from my post 806,

1) Iron Age Roman samples give me best fit, 2) Bronze Age Sicilians give me the next best fit, 2) Ancient Greeks give me the next, and 4) Levant-Neolithic type ancestry average at best fit. Of course, the Iron Age Roman samples are from a closer time period but still we are talking about samples from 900 BC to 300 BC period.

**Palermo Trapani** · 26-06-20, 04:46

Ailchu/Jovialis:

Continuing on from post 806 and 808, 1) Used Chalcolithic Iran and Neolithic and Bronze Age Armenian samples from Dodecad 12B Ancient. I get similar distance as I did using Levant-Neolithic. There are no ancient Caucus samples (i.e Maykop) in Dodecad 12B. But those are going to be very heavily Steppe Herder type ancestry so not sure they will fit me well anyway.

1) Ancient Iran and Armenian samples from Dodecad 12B

Target: PalermoTrapani Distance: 14.4336% / 14.43356185 \| ADC: 0.25x
52.2	I1633_KA1/14_Kura-Araxes_Early_Bronze_Age_Gegharkunik_Armenia

27.0	RISE397_Kapan_Armenia_2807_years

20.8	RISE416_Nerquin_Getashen_Armenia_3259_years

**Salento** · 26-06-20, 04:56

... Vahaduo site - EU k15

http://vahaduo.genetics.ovh/k15ancient-vahaduo.htm

**Palermo Trapani** · 26-06-20, 05:13

Originally Posted by Salento

... Vahaduo site - EU k15

http://vahaduo.genetics.ovh/k15ancient-vahaduo.htm

Buonaserra Salento: I have probably seen the model in the past but what is your fit using 0.25X. For me I have always gotten better fits with K13 (more source data) vs K15 and even better with Dodecad 12B.

**Salento** · 26-06-20, 06:19

Originally Posted by Palermo Trapani

Buonaserra Salento: I have probably seen the model in the past but what is your fit using 0.25X. For me I have always gotten better fits with K13 (more source data) vs K15 and even better with Dodecad 12B.

I Don’t think that EU K13 and K15 are meant for me, and I also get higher distances than Dodecad.

eu13 Single at 0.25 and 0.5:

**Palermo Trapani** · 26-06-20, 06:38

Salento: The K13 model fits are pretty good. K15 not my favorite either. Dodecad K12b gives me best model fits as well.

**Demetrios** · 26-06-20, 07:15

Here are mine at 0.5 for K13, K15, and Dodecad K12b. Wish we had more samples from Greece.

**Palermo Trapani** · 26-06-20, 07:35

Demetrios: Those are all good model fits for you. But I agree, we need more ancient samples from Greece for all our Greek brethren here at Eupedia. My distances in post 806 and 808 were using sub-samples, not full source samples available. But I have always had some really good distances for the Ancient Roman samples from Antonio et al 2019 which helps me get good overall model fits.

Dodecad 12B (I can get fit to 0.53 using 0.25X but there are 11 components, 3 components between 1 and 1.4, and 4 components are < 1% so 0.5X more parsimonious)

Target: PalermoTrapani Distance: 1.0717% / 1.07167155 \| ADC: 0.5x
35.4	R56_Medieval_Era_Villa_Magna

33.8	R52_Medieval_Era_Villa_Magna

17.2	R35_Late_Antiquity_Celio

9.0	R835_Imperial_Era_Civitanova_Marche

4.6	I3808_SE_Iberia_c.10-16CE

Eurogenes K13 (0.25X has one less component than 0.5X which has I8215 in it, distance 1.32 so still good model fit)

Target: PalermoTrapani Distance: 0.7512% / 0.75119401 \| ADC: 0.25x
53.8	SZ40_Hungary_Langobard_1442_ybp

24.2	R131_Lazio_Rome_Roman_Imperial

12.0	I9033_Mycenaean_1352_bc_M_

5.6	R1283_Lazio_Rome_Medieval_Italy

2.2	R122_Lazio_Rome_Italy_Late_Antiquity

2.2	R132_Lazio_Rome_Roman_Imperial

Eurogenes K15 (While 0.25X has best fit at 1.62, it has 10 components, 3 less than 1 )

Target: PalermoTrapani Distance: 3.6236% / 3.62362071 \| ADC: 0.5x
70.6	IA_Prenestina_Selicata_R437

19.4	Mycenaean_I9041

4.4	Canaanite_ERS1790729

3.4	IA_Protovillanovan_Martinsicuro_R1

1.4	France_IA_ERS88

0.8	Botai_BOT15

**Demetrios** · 26-06-20, 09:38

Originally Posted by Palermo Trapani

Demetrios: Those are all good model fits for you. But I agree, we need more ancient samples from Greece for all our Greek brethren here at Eupedia. My distances in post 806 and 808 were using sub-samples, not full source samples available. But I have always had some really good distances for the Ancient Roman samples from Antonio et al 2019 which helps me get good overall model fits.

Dodecad 12B (I can get fit to 0.53 using 0.25X but there are 11 components, 3 components between 1 and 1.4, and 4 components are < 1% so 0.5X more parsimonious)

Target: PalermoTrapani Distance: 1.0717% / 1.07167155 \| ADC: 0.5x
35.4	R56_Medieval_Era_Villa_Magna

33.8	R52_Medieval_Era_Villa_Magna

17.2	R35_Late_Antiquity_Celio

9.0	R835_Imperial_Era_Civitanova_Marche

4.6	I3808_SE_Iberia_c.10-16CE

Eurogenes K13 (0.25X has one less component than 0.5X which has I8215 in it, distance 1.32 so still good model fit)

Target: PalermoTrapani Distance: 0.7512% / 0.75119401 \| ADC: 0.25x
53.8	SZ40_Hungary_Langobard_1442_ybp

24.2	R131_Lazio_Rome_Roman_Imperial

12.0	I9033_Mycenaean_1352_bc_M_

5.6	R1283_Lazio_Rome_Medieval_Italy

2.2	R122_Lazio_Rome_Italy_Late_Antiquity

2.2	R132_Lazio_Rome_Roman_Imperial

Eurogenes K15 (While 0.25X has best fit at 1.62, it has 10 components, 3 less than 1 )

Target: PalermoTrapani Distance: 3.6236% / 3.62362071 \| ADC: 0.5x
70.6	IA_Prenestina_Selicata_R437

19.4	Mycenaean_I9041

4.4	Canaanite_ERS1790729

3.4	IA_Protovillanovan_Martinsicuro_R1

1.4	France_IA_ERS88

0.8	Botai_BOT15

Very nice, thanks for sharing.

**Jovialis** · 18-11-20, 19:42

Here is a link from the supplementary material of this paper for where to locate the modern Italian population samples.

They are in bed, bim, and fam, format. Does anyone know how to convert them to BAM, or raw data txt. file format?

https://capelligroup.wordpress.com/data/

https://www.dropbox.com/s/i3xpko28yi...ciAdv.zip?dl=0

I would like to create coordinates for each of them to using in gedmatch calculators.

**Salento** · 22-05-22, 04:02

Originally Posted by Jovialis

Here is a link from the supplementary material of this paper for where to locate the modern Italian population samples.

They are in bed, bim, and fam, format. Does anyone know how to convert them to BAM, or raw data txt. file format?

https://capelligroup.wordpress.com/data/

https://www.dropbox.com/s/i3xpko28yi...ciAdv.zip?dl=0

I would like to create coordinates for each of them to using in gedmatch calculators.

… got it ….

Code:

Alp090_Abruzzo,6.69,0,3.58,0,30.19,16.26,0.10,0,11.63,0,31.57,0
Alp140_Abruzzo,8.98,0,3.12,0,28.13,17.65,0,0.31,11.18,0,30.64,0
ALP161_Abruzzo,6.41,0,1.44,0,30.32,19.51,0,0.22,10.75,0.24,31.01,0.11
Alp162_Abruzzo,7.51,0,0.94,0.19,28.60,17.33,1.26,0,13.22,0,30.60,0.34
ALP205_Abruzzo,6.36,0.17,2.26,0,27.71,15.44,0,0.55,12.57,0,34.86,0.07
Alp380_Abruzzo,8.30,0,1.69,0,30.67,14.58,0.47,0.06,12.53,0,31.44,0.27
Alp503_Abruzzo,9.66,0,2.68,0.05,29.99,14.21,0,0.19,10.83,0,32.39,0
Alp616_Abruzzo,7.89,0,1.28,0,29.09,16.96,0,0.71,10.92,0,33.15,0
AL9_Albanian,5.26,0,2.47,0.71,29.56,24.40,0,0.08,7.74,0,27.78,1.99
AL12_Albanian,4.45,0.91,0.08,0,33.95,23.40,0,0,7.39,0.02,29.81,0
AL17_Albanian,5.38,0,1.12,0,30.35,22.13,0.88,0,9.59,0,30.54,0
AL29_Albanian,4.54,1.26,2.31,0.12,29.18,21.93,0,0.27,9.86,0,30.53,0
AL82_Albanian,5.30,0.23,0.73,0.46,27.08,27.71,0.23,0.14,7.14,0.14,30.84,0
AL98_Albanian,6.43,1.04,1.58,0,26.80,22.39,0.29,0,8.69,0.21,31.63,0.94
ALP225_Aosta-Valley,6.87,0.27,1.13,0,37.44,30.93,0.24,0,3.30,0,19.83,0
ALP227_Aosta-Valley,5.37,0.04,0.99,0,38.11,32.94,0,0.11,3.91,0,18.53,0
ALP379_Apulia,5.72,0,3.90,0,28.18,15.53,0.67,0,11.69,0.17,34.13,0.01
ALP583_Apulia,8.10,0,3.61,0,27.70,15.00,0.82,0.30,10.01,0,34.43,0.04
cera1_Apulia,7.91,0,5.44,0,29.16,15.42,0,0,10.25,0,31.76,0.05
cera2_Apulia,7.80,0,2.79,0,30.50,15.34,0,0,10.15,0,33.37,0.05
cera8_Apulia,6.06,0,3.14,0.70,29.98,15.74,0,0.10,10.47,0.14,33.35,0.32
cera9_Apulia,5.36,0,3.54,0,31.06,16.26,0.36,0,10.87,0,32.56,0
GS32_Apulia,7.03,0.70,2.10,0,29.17,14.00,0.41,0.25,10.95,0,35.38,0
GS34_Apulia,6.15,0.62,2.80,0,28.01,16.49,0,0.12,13.62,0.13,32.06,0
GS47_Apulia,5.92,0,2.56,0,27.84,14.32,0,0.27,12.35,0.63,36.11,0
Pu2_Apulia,5.84,0,2.93,0,26.59,17.67,0,0.71,12.28,0,33.99,0
Pu3_Apulia,6.03,0,1.87,0,26.47,14.41,0,0.09,13.66,0,37.47,0
Pu7_Apulia,7.79,0,3.12,0,27.68,12.85,0,0.19,11.83,0,36.54,0
Pu8_Apulia,6.95,0,6.23,0.02,25.75,11.41,0,0.45,14.01,0.76,34.43,0
Pu45_Apulia,7.53,0.05,2.22,0.39,29.68,15.35,0,0.40,10.10,0,34.28,0
PG16_Basilicata,7.16,0.47,4.11,0.25,27.15,12.87,0.34,0.60,11.52,0.36,35.16,0
PG17_Basilicata,8.95,0,1.39,0,29.77,14.55,0,0,12.92,0,32.25,0.16
PG18_Basilicata,6.66,0,2.84,0.02,27.29,16.11,0,0,13.23,0.74,33.04,0.06
PG19_Basilicata,6.05,0,2.34,0,28.94,15.65,0,1.07,13.30,0,32.65,0
PG20_Basilicata,6.11,0,3.11,0,27.89,14.45,0.06,0,12.27,0,36.11,0
PG21_Basilicata,7.28,0,3.97,0,26.27,17.49,1.27,0.28,12.37,0.28,30.79,0
PG22_Basilicata,7.19,0,3.44,0,25.84,16.55,0,0,9.57,0,37.42,0
PG24_Basilicata,7.33,0.09,4.22,1.09,28.61,14.27,0,0.83,12.06,0,31.50,0
PG25_Basilicata,6.69,0.27,2.65,0.38,28.09,14.21,0.26,0.40,12.13,0.46,34.45,0
ALP582_Calabria,6.25,0,3.73,0.03,27.11,10.05,0.99,0,13.80,1.01,36.24,0.79
ALP596_Calabria,6.33,0,3.91,0,27.04,13.26,0,0.64,13.48,0,35.33,0
NaN43TC_Campania,5.55,0,3.35,0.40,30.13,14.02,0,0.50,12.39,0,33.66,0
NaN46TC_Campania,6.39,0,2.56,0,29.12,13.31,0.46,0,14.30,0,33.51,0.34
NaN58AC_Campania,10.21,0.49,3.75,0,28.63,12.20,0.90,0.04,12.10,0.03,31.66,0
NaN65DFG_Campania,8.00,0,4.30,0.03,27.55,10.62,0.47,0.12,13.44,0.51,34.95,0
NaN77FAM_Campania,6.20,0,3.00,0.36,26.45,12.15,0.43,0.86,13.24,0.25,37.04,0
NaN119AMR_Campania,6.33,0,3.12,0,27.98,15.23,0,0.79,13.71,0.40,32.44,0
NaN128LA_Campania,7.42,0,3.69,0,29.35,12.81,0,0,12.42,0,34.31,0
NaN195ST_Campania,7.21,0,4.57,0.68,30.71,10.79,0,0.07,10.77,0.16,34.89,0.15
NaN207MM_Campania,7.08,0,3.16,0,26.85,14.76,0,0,14.32,0,33.60,0.22
NaN212CR_Campania,6.82,0,2.61,0,30.35,14.95,0.28,0.35,12.19,0,32.45,0
NaN238DM_Campania,7.03,0,1.59,0,29.82,15.65,0,0,11.91,0.14,33.86,0
NaN275IS_Campania,7.93,0.39,3.73,0,25.40,11.31,0,0.18,14.81,0,36.08,0.17
NaN289RM_Campania,6.45,0,2.51,1.17,28.02,14.99,0,0.55,10.85,0,35.45,0
NaN293SF_Campania,8.28,0.11,1.74,0,29.38,13.62,0.42,0,12.80,0,33.37,0.28
ALP081_Friuli-Venezia-Giulia,4.34,0.84,2.33,0,36.22,29.46,0.26,0.04,5.34,0,21.18,0
ALP093_Friuli-Venezia-Giulia,6.43,0.41,0.05,0,33.92,32.71,0,0.07,5.38,0,21.03,0
ALP188_Friuli-Venezia-Giulia,4.99,0.74,0.01,0,26.21,47.57,0,0,3.72,0.76,16.00,0
ALP220_Friuli-Venezia-Giulia,5.39,0,0,0.17,34.02,36.20,0,0,6.01,0,18.14,0.05
ALP233_Friuli-Venezia-Giulia,4.08,0,0,0,34.26,30.43,0.52,0,6.58,0.50,23.63,0
ALP235_Friuli-Venezia-Giulia,5.64,0.57,1.23,0.01,35.63,28.80,0.84,0,5.51,0,21.76,0
ALP346_Friuli-Venezia-Giulia,6.20,0.81,0.77,0,34.42,29.93,0,0,6.17,0.18,21.52,0
ALP354_Friuli-Venezia-Giulia,5.56,0.50,0.39,0,37.04,29.93,0,0,6.12,0,20.32,0.14
ALP259_Friuli-Venezia-Giulia,3.03,0,1.50,0,39.87,28.48,0,0,5.82,0,21.30,0
ALP280_Friuli-Venezia-Giulia,5.74,0,0.56,0,37.35,28.82,0.30,0,4.85,0,22.40,0
ALP435_Friuli-Venezia-Giulia,5.42,0.70,0.01,0,31.91,35.91,0,0.24,6.52,0,19.29,0
ALP506_Friuli-Venezia-Giulia,3.59,0.13,0.92,0,36.19,30.55,0,0,5.31,0.19,23.12,0
KF1800761_Friuli-Venezia-Giulia,4.15,0.03,1.60,0.62,35.36,29.80,0,0.10,6.99,0,21.35,0
KF1803129_Friuli-Venezia-Giulia,3.70,0,1.39,0,35.87,31.44,0,0,5.88,0.31,21.41,0
KF2700922_Friuli-Venezia-Giulia,4.76,0.29,0.58,0.30,32.64,33.31,0.22,0,6.10,0,21.79,0.02
KF2700960_Friuli-Venezia-Giulia,6.04,0.50,1.49,0,35.21,30.23,0,0,6.36,0.30,19.88,0
NOR24_Lazio,7.94,0,1.16,0,33.01,15.72,0,0.08,10.15,0,31.94,0
NOR28_Lazio,8.17,0.11,2.62,0.22,31.46,15.60,0,0,11.20,0,30.62,0
PG28_Lazio,4.14,0,2.92,0,34.41,18.64,0,0,11.40,0,28.49,0
PG30_Lazio,6.88,0,2.01,0,32.07,18.84,0,0.19,11.81,0.04,28.16,0
ALP099_Liguria,5.13,0,2.43,0,36.41,24.40,0.65,0.05,6.88,0.51,23.32,0.22
ALP288_Lombrardy,6.04,0.79,1.67,0,36.54,24.68,0,0.23,7.79,0,22.27,0
BGD28_Lombrardy,6.14,0,1.99,0.13,40.22,23.5,0,0,6.74,0.27,21.03,0
BGD31_Lombrardy,3.7,0,2.07,0,40.09,22.45,0,0,6.06,0.64,24.99,0
BGD103_Lombrardy,3.81,0.41,0,0,38.8,25.35,0.64,0,7.31,0,23.67,0
BGD301_Lombrardy,4.99,0,1.58,0,41.82,21.45,0,0,6.79,0.49,22.9,0
MarABG010D_Marche,6.05,0,3.02,0.18,32.69,19.66,0.12,0.25,10.45,0,27.57,0
MarABI020D_Marche,7.25,0,3.21,0,33.85,17.74,0,0.10,8.68,0,28.86,0.32
MarABN020D_Marche,7.08,0.73,1.75,0.22,31.78,18.77,0,0,10.49,0,29.18,0
MarABP050D_Marche,7.43,0,2.35,0,32.72,17.90,0,0.21,9.80,0.20,29.41,0
MarABQ080D_Marche,6.21,0.17,1.89,0,32.81,19.04,0,0,10.96,0.12,28.79,0
MarABU050D_Marche,7.29,0,1.62,0,33.47,21.39,0,0,9.14,1.17,25.92,0
MarABY030D_Marche,6.75,0,3.69,0,29.95,18.59,0,0.23,11.27,0,29.52,0
MarACO100D_Marche,6.86,0,2.00,0,30.72,17.68,0,0,12.10,0.08,30.56,0
MarACV100D_Marche,7.26,0,1.62,0,31.47,21.05,0.39,0,10.41,0.48,27.31,0
MarACW030D_Marche,6.82,0,3.04,0,33.76,20.81,0,0,8.63,0,26.94,0
MarACW080D_Marche,9.16,0.87,0.94,0,31.17,19.68,0,0,9.61,0,28.58,0
MarACY030D_Marche,6.26,0,2.36,0.35,31.64,18.52,0.43,0,10.01,0,30.43,0
MarADC050D_Marche,4.77,0,1.93,0,33.54,20.62,0.11,0,7.86,0,31.17,0
MarADG030D_Marche,6.69,0,2.77,0,31.83,21.00,0.02,0,10.04,0.11,27.55,0
PG26_Molise,7.76,0,2.20,0,29.91,16.67,0,0.57,10.84,0,32.01,0.04
PG27_Molise,6.36,0.05,1.15,0.55,29.66,17.90,0,0,10.92,0.28,32.78,0.33
ALP070_Trentino-Alto-Adige,5.23,0.08,0.80,0,38.53,31.31,0,0,5.23,0.41,18.42,0
ALP071_Trentino-Alto-Adige,4.72,0,0.88,0,37.95,33.21,0,0,4.51,0.47,18.18,0.09
ALP114_Trentino-Alto-Adige,5.13,0.56,1.16,0,38.67,21.62,0,0,7.86,0,25,0
ALP200_Trentino-Alto-Adige,5.96,0,0.65,0,35.41,26.93,0.24,0,7.64,0.25,22.93,0
ALP395_Trentino-Alto-Adige,4.20,0,0.07,0,38.17,29.09,0.83,0,5.00,0,22.64,0
ALP414_Trentino-Alto-Adige,4.90,1.04,0.99,0,29.11,46.33,0.19,0,3.54,0,13.91,0
ALP420_Trentino-Alto-Adige,5.76,0,0.48,0,39.10,28.16,0.12,0,6.97,0.13,19.29,0
MURLO114_Tuscany,5.80,0,3.27,0,34.81,20.54,1.23,0,8.47,0.02,25.86,0
VO59_Tuscany,7.52,0,0.82,0.28,35.01,21.98,0,0,9.50,0,24.88,0
VO65_Tuscany,3.64,0,2.60,0.17,35.94,21.03,0,0.20,8.37,0,28.06,0
VO109_Tuscany,3.75,0.22,2.79,0,32.67,21.45,0.79,0,10.67,0,27.56,0.09
PG03_Umbria,5.94,0,2.12,0,32.67,17.12,0.56,0.20,11.11,0.02,30.25,0
PG04_Umbria,6.34,0.25,2.53,0,30.64,20.66,0,0,9.10,0,30.47,0
PG06_Umbria,8.95,0.13,1.08,0.52,30.94,17.60,0.02,0,8.80,0,31.89,0.06
PG07_Umbria,7.81,0.34,3.48,0,32.31,17.63,0,0,10.47,0,27.96,0
PG08_Umbria,5.00,0,2.37,0.43,35.24,21.61,0.48,0,7.69,0.03,27.15,0
PG11_Umbria,7.93,0.01,2.36,0,33.05,19.77,0,0,8.56,0,28.32,0
PG12_Umbria,8.62,0.02,1.77,0.07,34.90,20.05,0,0,7.63,0.04,26.90,0
PG15_Umbria,7.94,0,2.72,0,32.52,16.83,0.67,0,10.33,0,28.99,0
ALP022_Veneto,6.59,0,0.49,0,36.53,27.87,0,0,7.34,0,21.18,0
ALP040_Veneto,5.15,0,1.04,0,41.60,25.12,0,0,3.85,0,23.24,0
Alp100_Veneto,4.58,0.41,0.87,0.93,39.09,28.70,0,0,7.01,0.28,18.13,0
ALP116_Veneto,5.45,0.19,2.34,0,36.99,24.61,0,0,7.69,0,22.73,0
ALP209_Veneto,4.85,0,2.14,0,34.32,25.27,0,0,7.89,0,25.49,0.04
ALP249_Veneto,5.45,0,2.23,0,35.92,27.84,0.14,0,5.44,0,22.98,0
ALP250_Veneto,4.19,0.15,0.96,0.11,37.49,30.40,0.47,0,6.61,0.02,19.60,0
ALP273_Veneto,4.14,0.12,0.71,0,35.42,29.00,0.35,0,7.02,0,23.07,0.16
ALP322_Veneto,3.54,0,1.12,0,35.56,30.22,0.15,0,5.64,0,23.77,0
ALP378_Veneto,5.59,0.04,0.53,0,35.23,29.58,0.40,0,4.93,0,23.71,0
Alp401_Veneto,5.76,0,0.27,0.72,39.59,27.28,0,0,5.84,0,20.49,0.04
KF1800751_Veneto,4.56,0,0.81,0,38.52,26.88,0,0.05,7.07,0,22.11,0
KF1800772_Veneto,5.25,0,1.04,0,38.57,25.21,0.67,0,5.09,0,24.17,0
KF1803105_Veneto,4.62,0,1.32,0.04,37.25,29.44,0,0.07,5.73,0,21.53,0
KF1803109_Veneto,4.97,0.48,2.18,0,36.60,25.47,0,0,8.09,0,22.22,0
KF1803151_Veneto,7.23,0,0,1.06,36.73,29.47,0.05,0,6.47,0,18.99,0

**Palermo Trapani** · 22-05-22, 05:17

Salento/Jovialis:

I might have missed it but what paper are those samples that Salento produced coordinates for in post #811. Are they from all 6 in the link from Jovialis post? Salento, BTW, thanks for those coordinates. My first pass at them (top 25)

Distance to:	PalermoTrapani_ANCESTRY
2.29802089	NaN212CR_Campania
2.34757322	PG24_Basilicata
2.76515822	NaN43TC_Campania
2.88128444	Alp380_Abruzzo
3.07784015	Alp090_Abruzzo
3.34148171	NaN128LA_Campania
3.38487814	NaN46TC_Campania
3.38625161	NOR28_Lazio
3.46723233	NaN293SF_Campania
3.53749912	PG19_Basilicata
3.57910603	PG17_Basilicata
3.58319690	NaN119AMR_Campania
3.81167942	Alp503_Abruzzo
3.93417081	cera8_Apulia
3.96143913	cera9_Apulia
4.00804192	cera1_Apulia
4.01978855	cera2_Apulia
4.13014528	NaN238DM_Campania
4.21352584	PG25_Basilicata
4.23049642	PG26_Molise
4.28063079	NaN58AC_Campania
4.32399121	GS34_Apulia
4.52071897	ALP379_Apulia
4.69476304	PG18_Basilicata
4.70507173	Pu45_Apulia

**torzio** · 22-05-22, 05:28

Distance to: Torziok12b
1.63711731 ALP022_Veneto
2.08712721 ALP235_Friuli-Venezia-Giulia
2.80196360 ALP249_Veneto
2.82104591 KF2700960_Friuli-Venezia-Giulia
2.84116173 ALP346_Friuli-Venezia-Giulia
3.05674664 ALP200_Trentino-Alto-Adige
3.09166622 ALP354_Friuli-Venezia-Giulia
3.11242671 ALP280_Friuli-Venezia-Giulia
3.25023076 KF1803151_Veneto
3.28800852 KF1803105_Veneto
3.42483576 ALP081_Friuli-Venezia-Giulia
3.61798286 KF1800761_Friuli-Venezia-Giulia
3.89629311 ALP378_Veneto
3.92330218 ALP273_Veneto
4.13805510 ALP420_Trentino-Alto-Adige
4.16438471 KF1803109_Veneto
4.19916658 KF1800751_Veneto
4.21149617 ALP288_Lombrardy
4.36495132 ALP250_Veneto
4.37962327 Alp401_Veneto
4.60943597 ALP225_Aosta-Valley
4.63782277 ALP395_Trentino-Alto-Adige
4.66079392 ALP116_Veneto
4.85242208 KF1803129_Friuli-Venezia-Giulia
4.92197115 ALP099_Liguria

Target: Torziok12b
Distance: 0.4478% / 0.44777121
35.4 ALP225_Aosta-Valley
29.2 ALP420_Trentino-Alto-Adige
15.0 NaN58AC_Campania
9.3 KF1803151_Veneto
7.8 ALP414_Trentino-Alto-Adige
3.3 MURLO114_Tuscany

**torzio** · 22-05-22, 05:29

my father numbers

Distance to: Ponsan_K12b
2.04137209 KF1800761_Friuli-Venezia-Giulia
2.17639610 KF2700960_Friuli-Venezia-Giulia
2.19034244 ALP250_Veneto
2.25153281 ALP354_Friuli-Venezia-Giulia
2.64340689 KF1803105_Veneto
2.70848666 ALP235_Friuli-Venezia-Giulia
2.73808327 ALP081_Friuli-Venezia-Giulia
2.82092184 ALP022_Veneto
3.14057320 ALP346_Friuli-Venezia-Giulia
3.22077630 KF1803151_Veneto
3.30548030 KF1803129_Friuli-Venezia-Giulia
3.36611052 ALP273_Veneto
3.64498285 ALP420_Trentino-Alto-Adige
3.86326287 Alp100_Veneto
3.87063302 ALP280_Friuli-Venezia-Giulia
3.98472082 ALP249_Veneto
4.09752364 ALP200_Trentino-Alto-Adige
4.20815874 KF1800751_Veneto
4.22960991 ALP506_Friuli-Venezia-Giulia
4.25717042 ALP070_Trentino-Alto-Adige
4.32677709 ALP395_Trentino-Alto-Adige
4.52066367 ALP322_Veneto
4.58528080 ALP233_Friuli-Venezia-Giulia
4.59798869 ALP378_Veneto
4.63966594 Alp401_Veneto

Target: Ponsan_K12b
Distance: 0.5603% / 0.56031111
36.5 ALP250_Veneto
27.0 Alp100_Veneto
11.7 MURLO114_Tuscany
10.4 ALP414_Trentino-Alto-Adige
6.1 ALP420_Trentino-Alto-Adige
3.9 PG21_Basilicata
3.7 Alp162_Abruzzo
0.7 KF1803151_Veneto

**Salento** · 22-05-22, 05:39

@PT …yes, these are the samples of Jovialis link and this thread: “Population structure of modern-day Italians reveals patterns of ancient and archaic ancestries in Southern Europe”. The samples are the modern-day Italians.

Target: Salento Distance: 0.3180% / 0.31803339
57.7	Pu3_Apulia
23.3	Pu2_Apulia
8.1	VO109_Tuscany
5.1	ALP379_Apulia
3.8	ALP188_Friuli-Venezia-Giulia
2.0	PG20_Basilicata

Distance to:	Salento
1.52384382	Pu2_Apulia
2.02150934	ALP205_Abruzzo
2.58338925	PG18_Basilicata
2.83665296	ALP379_Apulia
3.18932595	PG20_Basilicata
3.25306010	GS47_Apulia
3.32890372	GS34_Apulia

I guess GS is Grecìa Salentina, ... I Think :)

**Palermo Trapani** · 22-05-22, 06:17

Originally Posted by Salento

@PT …yes, these are the samples of Jovialis link and this thread: “Population structure of modern-day Italians reveals patterns of ancient and archaic ancestries in Southern Europe”. The samples are the modern-day Italians.

Target: Salento Distance: 0.3180% / 0.31803339
57.7	Pu3_Apulia
23.3	Pu2_Apulia
8.1	VO109_Tuscany
5.1	ALP379_Apulia
3.8	ALP188_Friuli-Venezia-Giulia
2.0	PG20_Basilicata

Distance to:	Salento
1.52384382	Pu2_Apulia
2.02150934	ALP205_Abruzzo
2.58338925	PG18_Basilicata
2.83665296	ALP379_Apulia
3.18932595	PG20_Basilicata
3.25306010	GS47_Apulia
3.32890372	GS34_Apulia

I guess GS is Grecìa Salentina, ... I Think :)

Salento: The Raveane et al 2019 paper, Grazie Mille. Great work man!

**Stuvanè** · 22-05-22, 10:19

Mine: I suppose that since there are no samples from Emilia and Romagna, the results are a little more unusual and work with more atypical averages and combos

Distance to:	Dodecadk12bStuvanè
1.76278189	ALP209_Veneto
4.04056927	PG08_Umbria
4.21613567	MarABU050D_Marche
4.24811723	VO109_Tuscany
4.25477379	VO59_Tuscany
4.43745423	ALP099_Liguria
4.59314707	MarACW030D_Marche
4.67183048	MURLO114_Tuscany
4.75082098	ALP200_Trentino-Alto-Adige
4.76308723	ALP116_Veneto
4.77274554	KF1803109_Veneto
4.89257601	ALP288_Lombrardy
4.91722483	MarADG030D_Marche
5.07163682	VO65_Tuscany
5.16462002	AL12_Albanian
5.25430300	MarACV100D_Marche
5.30606257	AL9_Albanian
5.67941018	MarABG010D_Marche
6.07443825	ALP114_Trentino-Alto-Adige
6.11112919	ALP273_Veneto
6.22093241	ALP249_Veneto
6.38220965	PG11_Umbria
6.38515466	PG12_Umbria
6.53988532	AL17_Albanian
6.74417526	MarABQ080D_Marche

Target: Dodecadk12bStuvanè Distance: 0.9056% / 0.90556359 \| ADC: 0.5x RC
73.0	ALP209_Veneto

19.7	VO109_Tuscany

7.3	MarACV100D_Marche

Target: Dodecadk12bStuvanè Distance: 0.5258% / 0.52581609 \| ADC: 0.25x RC
43.4	VO109_Tuscany

23.3	ALP209_Veneto

21.2	ALP200_Trentino-Alto-Adige

7.8	KF2700922_Friuli-Venezia-Giulia

4.3	MarACV100D_Marche

Target: Dodecadk12bStuvanè Distance: 0.0662% / 0.06618802
25.9	PG28_Lazio

18.9	ALP259_Friuli-Venezia-Giulia

9.6	ALP435_Friuli-Venezia-Giulia

9.1	NaN207MM_Campania

8.9	GS34_Apulia

6.0	KF1803109_Veneto

4.5	ALP354_Friuli-Venezia-Giulia

4.3	ALP414_Trentino-Alto-Adige

3.2	AL29_Albanian

2.1	KF1803129_Friuli-Venezia-Giulia

2.0	ALP273_Veneto

2.0	Pu3_Apulia

1.9	AL9_Albanian

1.3	ALP209_Veneto

0.3	ALP322_Veneto

Distance to:	Dodecadk12bStuvanè
0.47108631	40.40% KF2700922_Friuli-Venezia-Giulia + 59.60% PG28_Lazio
0.59213139	33.80% ALP435_Friuli-Venezia-Giulia + 66.20% PG28_Lazio
0.65966318	36.40% ALP596_Calabria + 63.60% ALP250_Veneto
0.67380289	37.40% NaN46TC_Campania + 62.60% KF1803129_Friuli-Venezia-Giulia
0.67740110	35.00% ALP346_Friuli-Venezia-Giulia + 65.00% VO109_Tuscany
0.68469318	39.40% GS34_Apulia + 60.60% KF1803105_Veneto
0.69320302	32.60% NaN46TC_Campania + 67.40% KF1800761_Friuli-Venezia-Giulia
0.78136987	36.80% NaN212CR_Campania + 63.20% KF1800761_Friuli-Venezia-Giulia
0.78498697	37.80% PG20_Basilicata + 62.20% ALP250_Veneto
0.78746037	39.80% ALP205_Abruzzo + 60.20% ALP250_Veneto
0.79843771	34.40% NaN43TC_Campania + 65.60% KF1800761_Friuli-Venezia-Giulia
0.81315349	39.80% ALP093_Friuli-Venezia-Giulia + 60.20% PG28_Lazio
0.83685052	39.60% AL29_Albanian + 60.40% KF1803109_Veneto
0.84935993	41.20% ALP379_Apulia + 58.80% ALP250_Veneto
0.85596013	47.20% ALP200_Trentino-Alto-Adige + 52.80% VO109_Tuscany
0.87220888	28.40% ALP093_Friuli-Venezia-Giulia + 71.60% VO109_Tuscany
0.87293066	56.40% KF1800761_Friuli-Venezia-Giulia + 43.60% MarACO100D_Marche
0.87404590	34.00% NaN77FAM_Campania + 66.00% ALP250_Veneto
0.87530950	37.60% GS47_Apulia + 62.40% ALP250_Veneto
0.88563538	51.80% MarABG010D_Marche + 48.20% ALP273_Veneto
0.88596822	32.00% KF2700960_Friuli-Venezia-Giulia + 68.00% VO109_Tuscany
0.90730136	51.20% KF1803129_Friuli-Venezia-Giulia + 48.80% MarACO100D_Marche
0.90939374	78.80% PG28_Lazio + 21.20% ALP414_Trentino-Alto-Adige
0.91331678	43.60% GS34_Apulia + 56.40% ALP250_Veneto
0.91634044	42.20% KF1803129_Friuli-Venezia-Giulia + 57.80% MarABQ080D_Marche

**Stefano** · 22-05-22, 12:39

Thanks for the cordinates.
Distance to: Stefano
2.66323112 KF1800772_Veneto
2.78793831 ALP114_Trentino-Alto-Adige
3.85419252 ALP040_Veneto
3.93568291 ALP099_Liguria
3.95282178 ALP116_Veneto
4.43227932 ALP288_Lombrardy
4.81233831 KF1800751_Veneto
4.98877741 KF1803109_Veneto
5.78362343 Alp401_Veneto
5.83278664 PG08_Umbria
6.03167473 ALP200_Trentino-Alto-Adige
6.09994262 VO59_Tuscany
6.22117352 ALP209_Veneto
6.23140434 ALP249_Veneto
6.55176312 ALP280_Friuli-Venezia-Giulia
6.56301760 MURLO114_Tuscany
6.62331488 VO65_Tuscany
6.65864851 ALP022_Veneto
6.79281974 ALP395_Trentino-Alto-Adige
6.80527736 ALP259_Friuli-Venezia-Giulia
6.93600750 PG12_Umbria
7.23706432 ALP420_Trentino-Alto-Adige
7.39709402 MarABU050D_Marche
7.39781049 KF1803105_Veneto
7.43780209 ALP235_Friuli-Venezia-Giulia

Target: Stefano
Distance: 0.4365% / 0.43654232
46.5 ALP040_Veneto
33.5 ALP114_Trentino-Alto-Adige
17.0 PG12_Umbria
2.8 ALP420_Trentino-Alto-Adige
0.2 VO59_Tuscany

**Jovialis** · 22-05-22, 14:24

Originally Posted by Salento

… got it ….

Code:

Alp090_Abruzzo,6.69,0,3.58,0,30.19,16.26,0.10,0,11.63,0,31.57,0
Alp140_Abruzzo,8.98,0,3.12,0,28.13,17.65,0,0.31,11.18,0,30.64,0
ALP161_Abruzzo,6.41,0,1.44,0,30.32,19.51,0,0.22,10.75,0.24,31.01,0.11
Alp162_Abruzzo,7.51,0,0.94,0.19,28.60,17.33,1.26,0,13.22,0,30.60,0.34
ALP205_Abruzzo,6.36,0.17,2.26,0,27.71,15.44,0,0.55,12.57,0,34.86,0.07
Alp380_Abruzzo,8.30,0,1.69,0,30.67,14.58,0.47,0.06,12.53,0,31.44,0.27
Alp503_Abruzzo,9.66,0,2.68,0.05,29.99,14.21,0,0.19,10.83,0,32.39,0
Alp616_Abruzzo,7.89,0,1.28,0,29.09,16.96,0,0.71,10.92,0,33.15,0
AL9_Albanian,5.26,0,2.47,0.71,29.56,24.40,0,0.08,7.74,0,27.78,1.99
AL12_Albanian,4.45,0.91,0.08,0,33.95,23.40,0,0,7.39,0.02,29.81,0
AL17_Albanian,5.38,0,1.12,0,30.35,22.13,0.88,0,9.59,0,30.54,0
AL29_Albanian,4.54,1.26,2.31,0.12,29.18,21.93,0,0.27,9.86,0,30.53,0
AL82_Albanian,5.30,0.23,0.73,0.46,27.08,27.71,0.23,0.14,7.14,0.14,30.84,0
AL98_Albanian,6.43,1.04,1.58,0,26.80,22.39,0.29,0,8.69,0.21,31.63,0.94
ALP225_Aosta-Valley,6.87,0.27,1.13,0,37.44,30.93,0.24,0,3.30,0,19.83,0
ALP227_Aosta-Valley,5.37,0.04,0.99,0,38.11,32.94,0,0.11,3.91,0,18.53,0
ALP379_Apulia,5.72,0,3.90,0,28.18,15.53,0.67,0,11.69,0.17,34.13,0.01
ALP583_Apulia,8.10,0,3.61,0,27.70,15.00,0.82,0.30,10.01,0,34.43,0.04
cera1_Apulia,7.91,0,5.44,0,29.16,15.42,0,0,10.25,0,31.76,0.05
cera2_Apulia,7.80,0,2.79,0,30.50,15.34,0,0,10.15,0,33.37,0.05
cera8_Apulia,6.06,0,3.14,0.70,29.98,15.74,0,0.10,10.47,0.14,33.35,0.32
cera9_Apulia,5.36,0,3.54,0,31.06,16.26,0.36,0,10.87,0,32.56,0
GS32_Apulia,7.03,0.70,2.10,0,29.17,14.00,0.41,0.25,10.95,0,35.38,0
GS34_Apulia,6.15,0.62,2.80,0,28.01,16.49,0,0.12,13.62,0.13,32.06,0
GS47_Apulia,5.92,0,2.56,0,27.84,14.32,0,0.27,12.35,0.63,36.11,0
Pu2_Apulia,5.84,0,2.93,0,26.59,17.67,0,0.71,12.28,0,33.99,0
Pu3_Apulia,6.03,0,1.87,0,26.47,14.41,0,0.09,13.66,0,37.47,0
Pu7_Apulia,7.79,0,3.12,0,27.68,12.85,0,0.19,11.83,0,36.54,0
Pu8_Apulia,6.95,0,6.23,0.02,25.75,11.41,0,0.45,14.01,0.76,34.43,0
Pu45_Apulia,7.53,0.05,2.22,0.39,29.68,15.35,0,0.40,10.10,0,34.28,0
PG16_Basilicata,7.16,0.47,4.11,0.25,27.15,12.87,0.34,0.60,11.52,0.36,35.16,0
PG17_Basilicata,8.95,0,1.39,0,29.77,14.55,0,0,12.92,0,32.25,0.16
PG18_Basilicata,6.66,0,2.84,0.02,27.29,16.11,0,0,13.23,0.74,33.04,0.06
PG19_Basilicata,6.05,0,2.34,0,28.94,15.65,0,1.07,13.30,0,32.65,0
PG20_Basilicata,6.11,0,3.11,0,27.89,14.45,0.06,0,12.27,0,36.11,0
PG21_Basilicata,7.28,0,3.97,0,26.27,17.49,1.27,0.28,12.37,0.28,30.79,0
PG22_Basilicata,7.19,0,3.44,0,25.84,16.55,0,0,9.57,0,37.42,0
PG24_Basilicata,7.33,0.09,4.22,1.09,28.61,14.27,0,0.83,12.06,0,31.50,0
PG25_Basilicata,6.69,0.27,2.65,0.38,28.09,14.21,0.26,0.40,12.13,0.46,34.45,0
ALP582_Calabria,6.25,0,3.73,0.03,27.11,10.05,0.99,0,13.80,1.01,36.24,0.79
ALP596_Calabria,6.33,0,3.91,0,27.04,13.26,0,0.64,13.48,0,35.33,0
NaN43TC_Campania,5.55,0,3.35,0.40,30.13,14.02,0,0.50,12.39,0,33.66,0
NaN46TC_Campania,6.39,0,2.56,0,29.12,13.31,0.46,0,14.30,0,33.51,0.34
NaN58AC_Campania,10.21,0.49,3.75,0,28.63,12.20,0.90,0.04,12.10,0.03,31.66,0
NaN65DFG_Campania,8.00,0,4.30,0.03,27.55,10.62,0.47,0.12,13.44,0.51,34.95,0
NaN77FAM_Campania,6.20,0,3.00,0.36,26.45,12.15,0.43,0.86,13.24,0.25,37.04,0
NaN119AMR_Campania,6.33,0,3.12,0,27.98,15.23,0,0.79,13.71,0.40,32.44,0
NaN128LA_Campania,7.42,0,3.69,0,29.35,12.81,0,0,12.42,0,34.31,0
NaN195ST_Campania,7.21,0,4.57,0.68,30.71,10.79,0,0.07,10.77,0.16,34.89,0.15
NaN207MM_Campania,7.08,0,3.16,0,26.85,14.76,0,0,14.32,0,33.60,0.22
NaN212CR_Campania,6.82,0,2.61,0,30.35,14.95,0.28,0.35,12.19,0,32.45,0
NaN238DM_Campania,7.03,0,1.59,0,29.82,15.65,0,0,11.91,0.14,33.86,0
NaN275IS_Campania,7.93,0.39,3.73,0,25.40,11.31,0,0.18,14.81,0,36.08,0.17
NaN289RM_Campania,6.45,0,2.51,1.17,28.02,14.99,0,0.55,10.85,0,35.45,0
NaN293SF_Campania,8.28,0.11,1.74,0,29.38,13.62,0.42,0,12.80,0,33.37,0.28
ALP081_Friuli-Venezia-Giulia,4.34,0.84,2.33,0,36.22,29.46,0.26,0.04,5.34,0,21.18,0
ALP093_Friuli-Venezia-Giulia,6.43,0.41,0.05,0,33.92,32.71,0,0.07,5.38,0,21.03,0
ALP188_Friuli-Venezia-Giulia,4.99,0.74,0.01,0,26.21,47.57,0,0,3.72,0.76,16.00,0
ALP220_Friuli-Venezia-Giulia,5.39,0,0,0.17,34.02,36.20,0,0,6.01,0,18.14,0.05
ALP233_Friuli-Venezia-Giulia,4.08,0,0,0,34.26,30.43,0.52,0,6.58,0.50,23.63,0
ALP235_Friuli-Venezia-Giulia,5.64,0.57,1.23,0.01,35.63,28.80,0.84,0,5.51,0,21.76,0
ALP346_Friuli-Venezia-Giulia,6.20,0.81,0.77,0,34.42,29.93,0,0,6.17,0.18,21.52,0
ALP354_Friuli-Venezia-Giulia,5.56,0.50,0.39,0,37.04,29.93,0,0,6.12,0,20.32,0.14
ALP259_Friuli-Venezia-Giulia,3.03,0,1.50,0,39.87,28.48,0,0,5.82,0,21.30,0
ALP280_Friuli-Venezia-Giulia,5.74,0,0.56,0,37.35,28.82,0.30,0,4.85,0,22.40,0
ALP435_Friuli-Venezia-Giulia,5.42,0.70,0.01,0,31.91,35.91,0,0.24,6.52,0,19.29,0
ALP506_Friuli-Venezia-Giulia,3.59,0.13,0.92,0,36.19,30.55,0,0,5.31,0.19,23.12,0
KF1800761_Friuli-Venezia-Giulia,4.15,0.03,1.60,0.62,35.36,29.80,0,0.10,6.99,0,21.35,0
KF1803129_Friuli-Venezia-Giulia,3.70,0,1.39,0,35.87,31.44,0,0,5.88,0.31,21.41,0
KF2700922_Friuli-Venezia-Giulia,4.76,0.29,0.58,0.30,32.64,33.31,0.22,0,6.10,0,21.79,0.02
KF2700960_Friuli-Venezia-Giulia,6.04,0.50,1.49,0,35.21,30.23,0,0,6.36,0.30,19.88,0
NOR24_Lazio,7.94,0,1.16,0,33.01,15.72,0,0.08,10.15,0,31.94,0
NOR28_Lazio,8.17,0.11,2.62,0.22,31.46,15.60,0,0,11.20,0,30.62,0
PG28_Lazio,4.14,0,2.92,0,34.41,18.64,0,0,11.40,0,28.49,0
PG30_Lazio,6.88,0,2.01,0,32.07,18.84,0,0.19,11.81,0.04,28.16,0
ALP099_Liguria,5.13,0,2.43,0,36.41,24.40,0.65,0.05,6.88,0.51,23.32,0.22
ALP288_Lombrardy,6.04,0.79,1.67,0,36.54,24.68,0,0.23,7.79,0,22.27,0
MarABG010D_Marche,6.05,0,3.02,0.18,32.69,19.66,0.12,0.25,10.45,0,27.57,0
MarABI020D_Marche,7.25,0,3.21,0,33.85,17.74,0,0.10,8.68,0,28.86,0.32
MarABN020D_Marche,7.08,0.73,1.75,0.22,31.78,18.77,0,0,10.49,0,29.18,0
MarABP050D_Marche,7.43,0,2.35,0,32.72,17.90,0,0.21,9.80,0.20,29.41,0
MarABQ080D_Marche,6.21,0.17,1.89,0,32.81,19.04,0,0,10.96,0.12,28.79,0
MarABU050D_Marche,7.29,0,1.62,0,33.47,21.39,0,0,9.14,1.17,25.92,0
MarABY030D_Marche,6.75,0,3.69,0,29.95,18.59,0,0.23,11.27,0,29.52,0
MarACO100D_Marche,6.86,0,2.00,0,30.72,17.68,0,0,12.10,0.08,30.56,0
MarACV100D_Marche,7.26,0,1.62,0,31.47,21.05,0.39,0,10.41,0.48,27.31,0
MarACW030D_Marche,6.82,0,3.04,0,33.76,20.81,0,0,8.63,0,26.94,0
MarACW080D_Marche,9.16,0.87,0.94,0,31.17,19.68,0,0,9.61,0,28.58,0
MarACY030D_Marche,6.26,0,2.36,0.35,31.64,18.52,0.43,0,10.01,0,30.43,0
MarADC050D_Marche,4.77,0,1.93,0,33.54,20.62,0.11,0,7.86,0,31.17,0
MarADG030D_Marche,6.69,0,2.77,0,31.83,21.00,0.02,0,10.04,0.11,27.55,0
PG26_Molise,7.76,0,2.20,0,29.91,16.67,0,0.57,10.84,0,32.01,0.04
PG27_Molise,6.36,0.05,1.15,0.55,29.66,17.90,0,0,10.92,0.28,32.78,0.33
ALP070_Trentino-Alto-Adige,5.23,0.08,0.80,0,38.53,31.31,0,0,5.23,0.41,18.42,0
ALP071_Trentino-Alto-Adige,4.72,0,0.88,0,37.95,33.21,0,0,4.51,0.47,18.18,0.09
ALP114_Trentino-Alto-Adige,5.13,0.56,1.16,0,38.67,21.62,0,0,7.86,0,25,0
ALP200_Trentino-Alto-Adige,5.96,0,0.65,0,35.41,26.93,0.24,0,7.64,0.25,22.93,0
ALP395_Trentino-Alto-Adige,4.20,0,0.07,0,38.17,29.09,0.83,0,5.00,0,22.64,0
ALP414_Trentino-Alto-Adige,4.90,1.04,0.99,0,29.11,46.33,0.19,0,3.54,0,13.91,0
ALP420_Trentino-Alto-Adige,5.76,0,0.48,0,39.10,28.16,0.12,0,6.97,0.13,19.29,0
MURLO114_Tuscany,5.80,0,3.27,0,34.81,20.54,1.23,0,8.47,0.02,25.86,0
VO59_Tuscany,7.52,0,0.82,0.28,35.01,21.98,0,0,9.50,0,24.88,0
VO65_Tuscany,3.64,0,2.60,0.17,35.94,21.03,0,0.20,8.37,0,28.06,0
VO109_Tuscany,3.75,0.22,2.79,0,32.67,21.45,0.79,0,10.67,0,27.56,0.09
PG03_Umbria,5.94,0,2.12,0,32.67,17.12,0.56,0.20,11.11,0.02,30.25,0
PG04_Umbria,6.34,0.25,2.53,0,30.64,20.66,0,0,9.10,0,30.47,0
PG06_Umbria,8.95,0.13,1.08,0.52,30.94,17.60,0.02,0,8.80,0,31.89,0.06
PG07_Umbria,7.81,0.34,3.48,0,32.31,17.63,0,0,10.47,0,27.96,0
PG08_Umbria,5.00,0,2.37,0.43,35.24,21.61,0.48,0,7.69,0.03,27.15,0
PG11_Umbria,7.93,0.01,2.36,0,33.05,19.77,0,0,8.56,0,28.32,0
PG12_Umbria,8.62,0.02,1.77,0.07,34.90,20.05,0,0,7.63,0.04,26.90,0
PG15_Umbria,7.94,0,2.72,0,32.52,16.83,0.67,0,10.33,0,28.99,0
ALP022_Veneto,6.59,0,0.49,0,36.53,27.87,0,0,7.34,0,21.18,0
ALP040_Veneto,5.15,0,1.04,0,41.60,25.12,0,0,3.85,0,23.24,0
Alp100_Veneto,4.58,0.41,0.87,0.93,39.09,28.70,0,0,7.01,0.28,18.13,0
ALP116_Veneto,5.45,0.19,2.34,0,36.99,24.61,0,0,7.69,0,22.73,0
ALP209_Veneto,4.85,0,2.14,0,34.32,25.27,0,0,7.89,0,25.49,0.04
ALP249_Veneto,5.45,0,2.23,0,35.92,27.84,0.14,0,5.44,0,22.98,0
ALP250_Veneto,4.19,0.15,0.96,0.11,37.49,30.40,0.47,0,6.61,0.02,19.60,0
ALP273_Veneto,4.14,0.12,0.71,0,35.42,29.00,0.35,0,7.02,0,23.07,0.16
ALP322_Veneto,3.54,0,1.12,0,35.56,30.22,0.15,0,5.64,0,23.77,0
ALP378_Veneto,5.59,0.04,0.53,0,35.23,29.58,0.40,0,4.93,0,23.71,0
Alp401_Veneto,5.76,0,0.27,0.72,39.59,27.28,0,0,5.84,0,20.49,0.04
KF1800751_Veneto,4.56,0,0.81,0,38.52,26.88,0,0.05,7.07,0,22.11,0
KF1800772_Veneto,5.25,0,1.04,0,38.57,25.21,0.67,0,5.09,0,24.17,0
KF1803105_Veneto,4.62,0,1.32,0.04,37.25,29.44,0,0.07,5.73,0,21.53,0
KF1803109_Veneto,4.97,0.48,2.18,0,36.60,25.47,0,0,8.09,0,22.22,0
KF1803151_Veneto,7.23,0,0,1.06,36.73,29.47,0.05,0,6.47,0,18.99,0

Hats off to you, this is excellent!

**Jovialis** · 22-05-22, 14:25

Distance to:	Jovialis
1.85132385	PG26_Molise
2.16529444	Alp140_Abruzzo
2.71775643	Alp090_Abruzzo
2.73558038	Alp616_Abruzzo
2.89611809	cera1_Apulia
2.91856129	cera2_Apulia
3.19426048	PG06_Umbria
3.32980480	PG27_Molise
3.34511584	cera8_Apulia
3.38212951	NOR28_Lazio
3.39328749	MarABY030D_Marche
3.47597468	MarACO100D_Marche
3.49479613	Pu45_Apulia
3.70070264	Alp503_Abruzzo
3.77326119	ALP161_Abruzzo
3.80215728	MarACY030D_Marche
3.80621860	cera9_Apulia
3.86023315	NaN212CR_Campania
3.92572286	ALP583_Apulia
3.93819756	NaN238DM_Campania
4.19687979	PG24_Basilicata
4.30936190	PG21_Basilicata
4.37315675	Alp380_Abruzzo
4.45463803	ALP379_Apulia
4.48544312	MarABP050D_Marche

**Jovialis** · 22-05-22, 15:30

Nice to see some legitimate modern Italian samples (Albanians too). Now there's no question of authenticity.

**Vallicanus** · 22-05-22, 16:24

In which part of Liguria does ALP099 hail from?

**Angela** · 22-05-22, 17:53

Originally Posted by Stuvanè

Mine: I suppose that since there are no samples from Emilia and Romagna, the results are a little more unusual and work with more atypical averages and combos

Distance to:	Dodecadk12bStuvanè
1.76278189	ALP209_Veneto
4.04056927	PG08_Umbria
4.21613567	MarABU050D_Marche
4.24811723	VO109_Tuscany
4.25477379	VO59_Tuscany
4.43745423	ALP099_Liguria
4.59314707	MarACW030D_Marche
4.67183048	MURLO114_Tuscany
4.75082098	ALP200_Trentino-Alto-Adige
4.76308723	ALP116_Veneto
4.77274554	KF1803109_Veneto
4.89257601	ALP288_Lombrardy
4.91722483	MarADG030D_Marche
5.07163682	VO65_Tuscany
5.16462002	AL12_Albanian
5.25430300	MarACV100D_Marche
5.30606257	AL9_Albanian
5.67941018	MarABG010D_Marche
6.07443825	ALP114_Trentino-Alto-Adige
6.11112919	ALP273_Veneto
6.22093241	ALP249_Veneto
6.38220965	PG11_Umbria
6.38515466	PG12_Umbria
6.53988532	AL17_Albanian
6.74417526	MarABQ080D_Marche

Target: Dodecadk12bStuvanè Distance: 0.9056% / 0.90556359 \| ADC: 0.5x RC
73.0	ALP209_Veneto

19.7	VO109_Tuscany

7.3	MarACV100D_Marche

Target: Dodecadk12bStuvanè Distance: 0.5258% / 0.52581609 \| ADC: 0.25x RC
43.4	VO109_Tuscany

23.3	ALP209_Veneto

21.2	ALP200_Trentino-Alto-Adige

7.8	KF2700922_Friuli-Venezia-Giulia

4.3	MarACV100D_Marche

Target: Dodecadk12bStuvanè Distance: 0.0662% / 0.06618802
25.9	PG28_Lazio

18.9	ALP259_Friuli-Venezia-Giulia

9.6	ALP435_Friuli-Venezia-Giulia

9.1	NaN207MM_Campania

8.9	GS34_Apulia

6.0	KF1803109_Veneto

4.5	ALP354_Friuli-Venezia-Giulia

4.3	ALP414_Trentino-Alto-Adige

3.2	AL29_Albanian

2.1	KF1803129_Friuli-Venezia-Giulia

2.0	ALP273_Veneto

2.0	Pu3_Apulia

1.9	AL9_Albanian

1.3	ALP209_Veneto

0.3	ALP322_Veneto

Distance to:	Dodecadk12bStuvanè
0.47108631	40.40% KF2700922_Friuli-Venezia-Giulia + 59.60% PG28_Lazio
0.59213139	33.80% ALP435_Friuli-Venezia-Giulia + 66.20% PG28_Lazio
0.65966318	36.40% ALP596_Calabria + 63.60% ALP250_Veneto
0.67380289	37.40% NaN46TC_Campania + 62.60% KF1803129_Friuli-Venezia-Giulia
0.67740110	35.00% ALP346_Friuli-Venezia-Giulia + 65.00% VO109_Tuscany
0.68469318	39.40% GS34_Apulia + 60.60% KF1803105_Veneto
0.69320302	32.60% NaN46TC_Campania + 67.40% KF1800761_Friuli-Venezia-Giulia
0.78136987	36.80% NaN212CR_Campania + 63.20% KF1800761_Friuli-Venezia-Giulia
0.78498697	37.80% PG20_Basilicata + 62.20% ALP250_Veneto
0.78746037	39.80% ALP205_Abruzzo + 60.20% ALP250_Veneto
0.79843771	34.40% NaN43TC_Campania + 65.60% KF1800761_Friuli-Venezia-Giulia
0.81315349	39.80% ALP093_Friuli-Venezia-Giulia + 60.20% PG28_Lazio
0.83685052	39.60% AL29_Albanian + 60.40% KF1803109_Veneto
0.84935993	41.20% ALP379_Apulia + 58.80% ALP250_Veneto
0.85596013	47.20% ALP200_Trentino-Alto-Adige + 52.80% VO109_Tuscany
0.87220888	28.40% ALP093_Friuli-Venezia-Giulia + 71.60% VO109_Tuscany
0.87293066	56.40% KF1800761_Friuli-Venezia-Giulia + 43.60% MarACO100D_Marche
0.87404590	34.00% NaN77FAM_Campania + 66.00% ALP250_Veneto
0.87530950	37.60% GS47_Apulia + 62.40% ALP250_Veneto
0.88563538	51.80% MarABG010D_Marche + 48.20% ALP273_Veneto
0.88596822	32.00% KF2700960_Friuli-Venezia-Giulia + 68.00% VO109_Tuscany
0.90730136	51.20% KF1803129_Friuli-Venezia-Giulia + 48.80% MarACO100D_Marche
0.90939374	78.80% PG28_Lazio + 21.20% ALP414_Trentino-Alto-Adige
0.91331678	43.60% GS34_Apulia + 56.40% ALP250_Veneto
0.91634044	42.20% KF1803129_Friuli-Venezia-Giulia + 57.80% MarABQ080D_Marche

Maybe it "is" the fact that there's no Emilia sample, but likewise for me it really doesn't work.

Distance to:	Angela
4.05684607	BGD31_Lombrardy
4.75154712	ALP114_Trentino-Alto-Adige
4.91595362	BGD301_Lombrardy
6.39150217	VO65_Tuscany
6.66355761	PG08_Umbria
7.04687165	KF1800772_Veneto
7.17949859	ALP040_Veneto
7.29915064	MURLO114_Tuscany
7.54232060	BGD28_Lombrardy
7.71702015	PG12_Umbria
7.79937818	BGD103_Lombrardy
7.89701209	ALP099_Liguria
8.23714756	ALP116_Veneto
8.45288117	MarACW030D_Marche
8.65162990	VO59_Tuscany
8.78784957	MarABI020D_Marche
8.89166464	ALP288_Lombrardy
9.09716439	MarADC050D_Marche
9.18601110	PG28_Lazio
9.22564361	AL12_Albanian
9.24457679	MarABU050D_Marche
9.33160758	KF1803109_Veneto
9.34260135	PG11_Umbria
9.43356772	ALP209_Veneto
9.55391019	KF1800751_Veneto

Trentino Alto-Adige has NEVER come up for me, nor should it.

It's born out by the fact that the admixture is a terrible fit.

Are we sure there isn't an Emilia sample? Every other set had one, yes? Is this the one where Davidski never provided the data for it?

Target: Angela Distance: 290.1789% / 2.90178942
37.8	BGD301_Lombrardy

23.2	ALP040_Veneto

19.6	BGD31_Lombrardy

19.4	NaN195ST_Campania

**Salento** · 22-05-22, 18:36

@Angela - the samples are raveane_aneli_montinaro, and there's no Emilia.

conversion_popname:
Albanian Albania
ITC-ABR_G Abruzzo
ITC-LAZ_G Lazio
ITC-MAR_G Marche
ITC-TSI_G Tuscany
ITC-UMB_G Umbria
ITN-FRI_G Friuli-Venezia-Giulia
ITN-LIG_G Liguria
ITN-LOM_G Lombrardy
ITN-TRE_G Trentino-Alto-Adige
ITN-VDA_G Aosta-Valley
ITN-VEN_G Veneto
ITS-BAS_G Basilicata
ITS-CAL_G Calabria
ITS-CAM_G Campania
ITS-MOL_G Molise
ITS-PUG_G Apulia

sample_names:
Albanian AL9
Albanian AL12
Albanian AL17
Albanian AL29
Albanian AL82
Albanian AL98
ITN-VEN_G ALP022
ITN-VEN_G ALP040
ITN-TRE_G ALP070
ITN-TRE_G ALP071
ITN-FRI_G ALP081
ITC-ABR_G Alp090
ITN-FRI_G ALP093
ITN-LIG_G ALP099
ITN-VEN_G Alp100
ITN-TRE_G ALP114
ITN-VEN_G ALP116
ITC-ABR_G Alp140
ITC-ABR_G ALP161
ITC-ABR_G Alp162
ITN-FRI_G ALP188
ITN-TRE_G ALP200
ITC-ABR_G ALP205
ITN-VEN_G ALP209
ITN-FRI_G ALP220
ITN-VDA_G ALP225
ITN-VDA_G ALP227
ITN-FRI_G ALP233
ITN-FRI_G ALP235
ITN-VEN_G ALP249
ITN-VEN_G ALP250
ITN-TRE_G ALP259
ITN-VEN_G ALP273
ITN-FRI_G ALP280
ITN-LOM_G ALP288
ITN-VEN_G ALP322
ITN-FRI_G ALP346
ITN-FRI_G ALP354
ITN-VEN_G ALP378
ITS-PUG_G ALP379
ITC-ABR_G Alp380
ITN-TRE_G ALP395
ITN-VEN_G Alp401
ITN-TRE_G ALP414
ITN-TRE_G ALP420
ITN-FRI_G ALP435
ITC-ABR_G Alp503
ITN-FRI_G ALP506
ITS-CAL_G ALP582
ITS-PUG_G ALP583
ITS-CAL_G ALP596
ITC-ABR_G Alp616
ITN-LOM_G BGD28
ITN-LOM_G BGD31
ITN-LOM_G BGD103
ITN-LOM_G BGD301
ITS-PUG_G cera1
ITS-PUG_G cera2
ITS-PUG_G cera8
ITS-PUG_G cera9
ITS-PUG_G GS32
ITS-PUG_G GS34
ITS-PUG_G GS47
ITN-VEN_G KF1800751
ITN-FRI_G KF1800761
ITN-VEN_G KF1800772
ITN-VEN_G KF1803105
ITN-VEN_G KF1803109
ITN-FRI_G KF1803129
ITN-VEN_G KF1803151
ITN-FRI_G KF2700922
ITN-FRI_G KF2700960
ITC-MAR_G MarABG010D
ITC-MAR_G MarABI020D
ITC-MAR_G MarABN020D
ITC-MAR_G MarABP050D
ITC-MAR_G MarABQ080D
ITC-MAR_G MarABU050D
ITC-MAR_G MarABY030D
ITC-MAR_G MarACM040D
ITC-MAR_G MarACO060D
ITC-MAR_G MarACO100D
ITC-MAR_G MarACV100D
ITC-MAR_G MarACW030D
ITC-MAR_G MarACW080D
ITC-MAR_G MarACY030D
ITC-MAR_G MarADC050D
ITC-MAR_G MarADG030D
ITC-TSI_G MURLO114
ITS-CAM_G NaN43TC
ITS-CAM_G NaN46TC
ITS-CAM_G NaN58AC
ITS-CAM_G NaN65DFG
ITS-CAM_G NaN77FAM
ITS-CAM_G NaN119AMR
ITS-CAM_G NaN128LA
ITS-CAM_G NaN195ST
ITS-CAM_G NaN207MM
ITS-CAM_G NaN212CR
ITS-CAM_G NaN238DM
ITS-CAM_G NaN275IS
ITS-CAM_G NaN289RM
ITS-CAM_G NaN293SF
ITC-LAZ_G NOR24
ITC-LAZ_G NOR28
ITC-UMB_G PG03
ITC-UMB_G PG04
ITC-UMB_G PG05
ITC-UMB_G PG06
ITC-UMB_G PG07
ITC-UMB_G PG08
ITC-UMB_G PG11
ITC-UMB_G PG12
ITC-UMB_G PG15
ITS-BAS_G PG16
ITS-BAS_G PG17
ITS-BAS_G PG18
ITS-BAS_G PG19
ITS-BAS_G PG20
ITS-BAS_G PG21
ITS-BAS_G PG22
ITS-BAS_G PG24
ITS-BAS_G PG25
ITS-MOL_G PG26
ITS-MOL_G PG27
ITC-LAZ_G PG28
ITC-LAZ_G PG30
ITS-PUG_G Pu2
ITS-PUG_G Pu3
ITS-PUG_G Pu7
ITS-PUG_G Pu8
ITS-PUG_G Pu45
ITC-TSI_G VO59
ITC-TSI_G VO65
ITC-TSI_G VO109

**Stefano** · 22-05-22, 19:17

With the new samples

Distance to: Stefano
2.58623278 BGD31_Lombrardy
2.66323112 KF1800772_Veneto
2.78793831 ALP114_Trentino-Alto-Adige
3.39605654 BGD301_Lombrardy
3.55707745 BGD28_Lombrardy
3.72235141 BGD103_Lombrardy

These are the regional averages, for a reference

Italian_Abruzzo,7.59,0.03,3.23,0.04,29.12,16.1,0,0 .08,10.91,0.32,32.6,0
Italian_Aosta_Valley,5.82,0.06,1.62,0.14,40.65,29. 99,0.25,0.05,4.3,0.03,16.98,0.1
Italian_Apulia,7.38,0.32,2.81,0.34,26.2,17.19,0.27 ,0.27,11.31,0.41,33.36,0.15
Italian_Basilicata,8.9,0,3.92,0.1,27.08,14.41,0.67 ,0.62,11.23,0.05,32.98,0.04
Italian_Calabria,7,0.13,4.18,0.08,27,11.44,0.26,0. 6,13.52,0.22,35.45,0.1
Italian_Campania,7.07,0.09,2.82,0.09,28.91,13.73,0 .1,0.33,12.32,0.02,34.34,0.1
Italian_Emilia,6.13,0,1.15,0.18,37.61,22.76,0.14,0 .11,7.4,0.25,24.22,0.06
Italian_Friuli_VG,5.44,0.28,1.17,0.01,34.92,29.32, 0.08,0,7.03,0,21.72,0.02
Italian_Jew,5.91,0.27,5.61,0.28,26.04,8.53,0.36,1. 02,16.51,0.14,35.34,0
Italian_Lazio,6.73,0,2.67,0.05,31.7,19.82,0.26,0.0 7,9.79,0.17,28.75,0
Italian_Liguria,5.1,0.05,2.01,0.09,37.89,23.23,0.2 5,0.05,7.89,0.05,23.39,0
Italian_Lombardy,4.75,0.12,1.12,0.04,39.63,25.08,0 .17,0.01,6.41,0.03,22.62,0.03
Italian_Marche,6.42,0.08,2.38,0.05,32.91,18.72,0.2 9,0.27,9.80,0,29.042,0.03
Italian_Molise,6.89,0.1,2.32,0,29.31,15.22,0.03,0. 11,12.03,0.10,33.84,0.02
Italian_Piedmont,5.92,0.13,1.73,0.09,37.82,26.02,0 .04,0.04,6.73,0.02,21.37,0.1
Italian_Romagna,6.08,0,1.87,0.13,34.66,20.98,0.1,0 ,8.99,0,27.19,0
Italian_Sicily,7.31,0.48,4.59,0.10,27.22,13.45,0.2 5,0.65,12.1,0.05,33.16,0.64
Italian_Trentino,4.79,0.22,0.73,0.04,38.71,29.79,0 ,0,5.47,0.02,20.22,0
Italian_Tuscany,6.12,0.05,1.21,0.14,36.89,21.81,0. 16,0.06,8.21,0,25.36,0
Italian_Umbria,5.96,0.10,1.99,0.19,33.10,20.43,0.1 7,0.09,9.25,0.15,28.46,0.06
Italian_Veneto,5.44,0.04,1.43,0.18,36.93,27.16,0.0 6,0,5.73,0.15,22.83,0.03

Angela the BGD31_Lombrardy sample is closer to liguria and the ALP114_Trentino-Alto-Adige to Emilia, hence the similarity.

Distance to: BGD31_Lombrardy
3.70737104 Italian_Liguria
3.91035804 Italian_Lombardy
3.95045567 Italian_Emilia
4.73982067 Italian_Tuscany
6.07599375 Italian_Piedmont

Distance to: ALP114_Trentino-Alto-Adige
2.16497113 Italian_Emilia
2.17901354 Italian_Tuscany
2.61774712 Italian_Liguria
4.58607675 Italian_Lombardy
4.93049693 Italian_Romagna
5.97426983 Italian_Piedmont

Stuvanè, the ALP209_Veneto is really close to tuscany, liguria and emilia and the PG08_Umbria to Romagna.

Distance to: ALP209_Veneto
4.60722259 Italian_Tuscany
4.63417738 Italian_Liguria
4.66076174 Italian_Emilia
4.79977083 Italian_Veneto
4.92280408 Italian_Romagna

Distance to: PG08_Umbria
2.01905919 Italian_Romagna
3.00507903 Italian_Tuscany
3.37305500 Italian_Umbria
4.31461470 Italian_Emilia

Individual have a variation from their regional averages.

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