Population structure in Italy using ancient and modern samples

Quote:

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Originally Posted by Salento

... some modern Serbia, Kosovo, Bosnia, Montenegro, Macedonia, ... The Genetic Structure of Western Balkan Populations Based on Autosomal and...

Code:

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Bosnian_10,3.06,0.44,0,0.55,27.00,42.48,0,0.33,4.98,0,21.15,0
Bosnian_11,5.64,0.03,0.96,0,25.33,42.04,0,0,4.77,0,21.23,0
Bosnian_12,5.24,0.63,0.40,0,25.12,43.50,0.64,0,5.50,0,18.96,0
Bosnian_13,5.51,0,0.23,0,25.26,41.18,1.93,0,5.16,0,20.73,0
Bosnian_14,4.40,1.23,0,0.54,25.72,42.67,0,0,4.39,0,21.04,0
Bosnian_15,5.01,0.20,1.81,0,27.25,47.94,0,0,2.84,0,14.89,0.06
Bosnian_16,5.95,0,0.44,0,27.26,39.69,0.52,0,4.98,0,21.15,0
Bosnian_2,4.84,0.29,0,0,25.16,44.53,0.93,0.14,3.38,0.19,20.54,0
Bosnian_3,5.54,0.23,0.75,0.42,26.23,39.63,0.49,0,3.24,0.09,23.39,0
Bosnian_4,4.08,1.33,0.36,0,24.07,44.11,0,0.16,4.94,0,20.95,0
Bosnian_5,4.60,0.64,0,0,26.63,44.10,1.12,0,4.45,0,18.40,0.08
Bosnian_7,4.52,1.31,0.93,0.13,23.41,44.39,0.12,0.08,5.11,0,20,0
Bosnian_8,5.01,0.62,0,0,27.23,42.26,0.73,0.08,5.04,0.09,18.95,0
Kosovo1,5.40,0.63,0.60,0,30.94,24.44,0,0,7.22,0,30.63,0.14
Kosovo11,5.19,1.12,1.28,0,28.15,27.51,0,0,7.60,0.11,29.04,0
Kosovo12,7.44,0,1.12,0,28.84,27.85,1.71,0,7.53,0,25.49,0
Kosovo14,4.96,0,0,0,31.77,28.45,0,0,5.97,0,28.85,0
Kosovo16,6.85,0,0.46,0.39,29.54,26.37,0.27,0,7.17,0,28.95,0
Kosovo18,7.62,0.02,1.15,0,26.29,28.10,0.22,0,9.87,0,26.73,0
Kosovo7,4.68,0.17,0.35,0.54,29.29,26.60,0,0.09,8.87,0,29.41,0
Kosovo8,6.84,0.11,1.01,0,28.83,25.39,0,0,6.35,0.39,31.08,0
Macedonian12,6.37,0.52,0.85,0,23.90,34.46,0,0,7.66,0,26.24,0
Macedonian17b-d,4.48,0.12,1.17,0,27.66,31.85,0,0,7.43,0.72,26.58,0
Macedonian19,5.08,0.81,0,0,28.13,33.31,0.18,0,6.54,0.08,25.86,0
Macedonian20,7.09,0,0.58,0.32,24.55,35.80,0.65,0,5.13,0,25.87,0
Macedonian21,5.84,0.74,0,0.16,27.94,34.32,0.64,0.03,4.07,0.12,26.09,0.05
Macedonian3,5.71,0.48,0,0.03,24.75,42.82,0.02,0,5.45,0.06,20.68,0
Macedonian7,5.82,0,0.51,0.35,26.79,35.95,0,0,6.99,0,23.60,0
Montenegro1,5.47,0,1.35,0.29,27.51,35.26,0.71,0,5.82,0.20,23.41,0
Montenegro14,6.57,0.54,0.61,0,30.38,33.27,0,0,7.70,0,20.93,0
Montenegro15,3.48,0.87,0.56,0,28.64,35.21,0,0,6.61,0,24.63,0
Montenegro17,4.11,0,1.23,0,25.54,37.23,0.02,0,5.81,1.10,24.96,0
Montenegro19,3.56,0.53,1.05,0,28.99,35.17,0,0.09,5.63,0.17,24.82,0
Montenegro20,5.16,0.70,0.68,0.28,29.88,34.38,0.18,0,5.35,0,23.38,0
Montenegro21,4.91,0.81,0,0,28.76,33.68,0.23,0,6.63,0,24.98,0
Montenegro4,5.56,0.28,0,0.42,28.98,40.14,0,0,3.79,0,20.78,0.05
Montenegro5,5.48,1.19,0.29,0.43,28.82,38.25,0,0,5.60,0.61,19.32,0
Montenegro6,5.47,0.48,0.61,0.25,30.05,35.82,0,0,6.85,0.20,20.29,0
Montenegro9,5.99,1.24,0.43,0,28.02,35.38,0.96,0,4.82,0,23.16,0
Serbia1,3.87,0.50,0.47,0,28.19,40.13,1.11,0,4.52,0,21.21,0
Serbia10,5.52,1.41,0.79,0,28.41,33.37,0.52,0,7.09,0,22.90,0
Serbia16,4.65,1.52,0.18,0,27.60,40.31,0.14,0,4.84,0.26,20.49,0
Serbia18,0.53,1.14,0.74,0.79,26.61,37.64,1.15,0,5.43,0,25.93,0.04
Serbia19,4.53,0.66,1.11,0,26.88,40.49,0.51,0,5.61,0.19,20.02,0
Serbia2,3.95,0.88,1.37,0,28.34,35.40,1.08,0,5.53,0,23.44,0
Serbia3,3.16,0.82,0.16,0.23,25.70,39.16,0,0,4.33,0.68,25.75,0
Serbia4,5.99,0.88,0.86,0,27.69,33.32,0.25,0,5.21,0.65,25.14,0
Serbia5,4.24,1.33,0.13,0,27.73,36.76,0,0.34,3.28,0.33,25.86,0
Serbia6,6.50,0.55,0.49,0.99,25.64,39.61,0.23,0,5.81,0,20.20,0
Serbia7,4.86,1.05,1.11,0.44,27.75,37.80,0.17,0,4.40,0.45,21.96,0
Serbia9,6.32,0,0.16,0,26.15,38.03,0.49,0,5.49,0,23.36,0
Serbian_B-H11_in_Bosnia-Hertzegovina,6.32,0.91,0,0.18,24.73,43.84,1.22,0,5.15,0,17.64,0
Serbian_B-H4_in_Bosnia-Hertzegovina,3.92,0.72,0.35,0.21,28.27,43.45,0.65,0,3.67,0,18.77,0
Serbian_B-H7_in_Bosnia-Hertzegovina,2.71,0.28,0,0,28.08,41.92,0,0.05,5.06,0,21.91,0
Serbian_B-H9_in_Bosnia-Hertzegovina,4.75,0,0,0.63,28.16,41.17,0,0,5.19,1.20,18.89,0

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https://journals.plos.org/plosone/ar...l.pone.0105090

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Ok, these "academic samples" from Kosovo are not as weird as the Albanian ones.

Kosovo7 is literally my sibling it's scary, whereas Kosovo14 looks like Albanians from Montenegro.

And as always, the Montenegro samples are super cherry picked. They left at least 30-40% of the population of Montenegro out and some are clearly from Serbia or Bosnia but of Montenegrin heritage.

Quote:

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Originally Posted by Palermo Trapani

Thanks Angela. Just a friendly suggestion, did you adjust your gradient when you ran the Oracle program. I just set mine to 100 to clear up the resolution. It works on my computer like a charm.

Yes, there is some variety in those Samples. In my post 958, I am closer to some Abruzzo samples than some of the ones from Sicily and closer to some areas of Sicily for which none of my Great-Grandparents (1 Grandfather) were from (3rd closest is Syracuse SR64).

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As far as I recall behar samples were gathered in London and by individuals who self-reported their ethnicity (and this explains the high number of Romanian individuals with high south asian admixture), and the Busby samples are recycled from Hellenthal et al 2015 who gathered for south Italy and Sicily new samples from anonymous donours (https://www.science.org/action/downl...lenthal.sm.pdf), and for the same reservations expressed for some Tuscan samples I do not think all these samples represent the genuine genetic variation present in Sicilians and south Italians, and it also explains why the samples from Italian authors gathered in situ form much tighter clusters (https://www.nature.com/articles/s41598-017-01802-4 , https://www.nature.com/articles/s41598-021-82591-9 for example).

Quote:

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Originally Posted by Leopoldo Leone

As far as I recall behar samples were gathered in London and by individuals who self-reported their ethnicity (and this explains the high number of Romanian individuals with high south asian admixture), and the Busby samples are recycled from Hellenthal et al 2015 who gathered for south Italy and Sicily new samples from anonymous donours (https://www.science.org/action/downl...lenthal.sm.pdf), and for the same reservations expressed for some Tuscan samples I do not think all these samples represent the genuine genetic variation present in Sicilians and south Italians, and it also explains why the samples from Italian authors gathered in situ form much tighter clusters (https://www.nature.com/articles/s41598-017-01802-4 , https://www.nature.com/articles/s41598-021-82591-9 for example).

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Leopoldo: Thanks for the note. Here is what I don't quite understand. I have been able to go back to Sicily and get birth, marriage and death certificates dating back to the early 1800's both Paternal and Maternal lineages. It seems to me that Italian researchers when taking a DNA sample from someone in Sicily, Puglia, Campania, Tuscany, or wherever in modern Italy can ask the Donor to provide his or her birth record, which has the parents with their family names, and then get the parents wedding civil record, which has both their parents and document that the person donating sample has family history dating back to to the 1800's which would provide a higher confidence that the donor represents a population that has long-term ties to the area (and not do to some recent migrant moving into the region with no historic ties to the region).

However, the variation in these samples from Sicily might in reality not be outside the normal distribution and could all be relative to the mean within 2 SD's of it and not in the 5% tails, 2.5 left or 2.5% right. So while there is some variation, I don't want to suggest that some of these samples are outliers and thus not within, statistically, the genetic variation one would expect to find if you plotted them and looked at the data in the context of a Bell Shaped curve (which is kind of how I visualize the data sometimes to wrap my head around it).

Thanks again Leopoldo, PT

Quote:

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Originally Posted by Palermo Trapani

Leopoldo: Thanks for the note. Here is what I don't quite understand. I have been able to go back to Sicily and get birth, marriage and death certificates dating back to the early 1800's both Paternal and Maternal lineages.It seems to me that Italian researchers when taking a DNA sample from someone in Sicily, Puglia, Campania, Tuscany, or wherever in modern Italy can ask the Donor to provide his or her birth record, which has the parents with their family names, and then get the parents wedding civil record, which has both their parents and document that the person donating sample has family history dating back to to the 1800's which would provide a higher confidence that the donor represents a population that has long-term ties to the area (and not do to some recent migrant moving into the region with no historic ties to the region).

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As I know they don't ask for birth or baptismal certificates. At least not always. Many times ancestry is simply self reported. And it is not always the researchers/geneticists directly who collect the samples, and samples are collected following very different procedures from time to time.

I can say with confidence I'm representative of my area considering all four of my grandparents come from the province of Bari. I knew them all well, and all four of their grandparents also came from Bari too.

^^I knew my great-grandmother too. She watched me while my parents went to work, prior to me starting school. I also spent my whole child and teenage years with her in my life, which I was very fortunate for. She was 100% Barese and her grandparents were too.

Quote:

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Originally Posted by Pax Augusta

As I know they don't ask for birth or baptismal certificates. At least not always. Many times ancestry is simply self reported. And it is not always the researchers/geneticists directly who collect the samples, and samples are collected following very different procedures from time to time.

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Well in my view, that is a potential flaw in the sample collection methods used if birth and/or baptismal certificates are not asked for.

Quote:

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Originally Posted by Palermo Trapani

Well in my view, that is a potential flaw in the sample collection methods used if birth and/or baptismal certificates are not asked for.

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Definitely it is a potential flaw. Which is why academic samples are useful because they give us the big picture but they cannot always be taken for completely reliable when it comes to individual cases, especially the outlying ones, for the lack of control and strictness when they were collected. Because they may not always be completely accurate.

On the other hand, there is then to add the fact that there is individual variation, just see that often two brothers or sisters are not 100% identical genetically, so let alone two unrelated people who come from the same area, even when they really have all the grandparents from that area, it is not a given that they are entirely similar genetically.

Quote:

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Originally Posted by enter_tain

Why would this be the case? Northern Albania was more isolated during the migration age. The south should have higher Slavic/Gothic admixture. There is higher R1a and I2. I1 is more pocketed (Dibra has high % IIRC), but places like Vlore have like 15% I1 if I'm not mistaken.

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Northern Albanians on average plot more north and it's an undisputed fact.

Quote:

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Originally Posted by Salento

the one listed by Pax - I think they are not publicly available or I just couldn’t find them.
Most other Italians would be redundant and similar with the ones we already have, I guess.

… there is another list of Italians using a non linear and different alleles format which we need to figure out how to convert to a standard format.

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University of Bari (Puglia) - 207 out of 217 Medical Research Samples, NOT necessarily Apulian or fully Apulian Ancestry, ... discarded samples over the six threshold distance.
... needed conversion to standard format, ... now is good :)

Dodecad K12b :

Code:

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GSM1094884,5.90,0,3.31,0,28.88,17.44,0,0,10.69,0,33.78,0
GSM1094885,7.03,0,2.61,0,27.77,16.73,0,0.13,13.49,0,32.23,0
GSM1094886,9.56,0,2.57,0,31.42,17.31,0,0,10.35,0.07,28.72,0
GSM1094887,6.40,0,3.41,0,29.78,19.37,0,0.15,11.07,0,29.83,0
GSM1094888,7.03,0,2.00,0,31.43,14.54,0,0,11.86,0,33.14,0
GSM1094889,7.68,0,2.35,0,30.23,16.86,0,0,12.18,0,30.71,0
GSM1094890,4.32,0,2.40,0.02,29.22,14.87,0,0.43,14.76,0,33.97,0.01
GSM1094891,6.54,0,3.32,0,27.52,18.55,0,0,9.81,0.11,33.76,0.39
GSM1094892,5.89,0.13,2.44,0,29.01,17.23,0,0,10.95,0,34.34,0
GSM1094893,9.05,0,4.23,0,29.56,15.41,0,0,9.82,0.27,31.66,0
GSM1094894,7.69,0,3.57,0,28.47,14.88,0,0,13.83,0,31.55,0
GSM1094895,8.59,0,3.30,0,29.87,17.23,0,0,10.46,0,30.56,0
GSM1094896,8.32,0,3.79,0,28.20,15.76,0,0,11.76,0,32.16,0
GSM1094897,7.73,0,3.87,0,27.39,18.68,0,0,11.46,0,30.86,0
GSM1094898,8.76,0.54,3.54,0.32,28.75,15.99,0,0,11.51,0,30.59,0
GSM1094899,8.67,0,0.91,1.20,30.17,16.47,0,0.35,12.91,0,29.32,0
GSM1094900,6.70,0.63,3.55,0,31.34,15.69,0,0.17,12.08,0,29.84,0
GSM1094901,6.33,0,3.07,0,29.61,16.81,0,0.24,11.29,0,32.64,0
GSM1094902,6.45,0.33,2.27,0,27.76,15.87,0,0,12.46,0,34.85,0
GSM1094903,6.39,0,4.14,0.26,28.41,16.84,0,0,11.74,0,32.22,0
GSM1094904,5.01,0,2.00,0.99,27.15,13.76,0,0.18,14.99,0,35.34,0.57
GSM1094905,7.32,0,0.82,0,29.12,14.45,0,0,13.69,0,34.61,0
GSM1094906,6.81,0,3.58,0,26.88,15.64,0,0,12.60,0,34.49,0
GSM1094907,9.10,0,2.06,0,29.79,13.70,0,0,10.17,0,35.19,0
GSM1094908,5.32,0.76,2.30,0,27.30,16.16,0,0,12.37,0,35.49,0.29
GSM1094909,7.64,0,3.33,0.08,29.98,14.62,0,0,11.50,0,32.78,0.07
GSM1094910,6.19,0,2.43,0,29.94,15.22,0,0,11.54,0.69,33.90,0.08
GSM1094911,6.37,0,2.39,0.05,25.86,16.87,0,0,12.79,0,35.66,0
GSM1094912,7.15,0.68,1.49,0.25,29.10,13.17,0.35,0,12.96,0.29,33.78,0.77
GSM1094913,6.60,0,3.50,0.27,26.73,13.12,0,0,10.93,0,38.84,0
GSM1094914,9.12,0,2.35,0,27.91,13.26,0,0,10.58,0,36.79,0
GSM1094915,6.13,0.10,1.84,0.65,27.26,13.59,0,0,13.79,0.20,36.24,0.21
GSM1094916,5.94,0,4.13,0,30.94,17.36,0,0,10.09,0,31.54,0
GSM1094917,7.02,0.54,3.87,0,26.65,17.40,0,0,10.35,0,34.17,0
GSM1094918,5.53,0.52,2.35,0,28.40,18.68,0,0.57,11.85,0,32.09,0
GSM1094919,7.84,0,3.50,0.06,29.01,17.37,0,0,9.65,0,32.57,0
GSM1094920,5.71,0,3.02,0,29.29,16.30,0,0,12.75,0,32.92,0
GSM1094921,7.06,0.12,1.77,0.64,27.17,18.01,0,0,13.09,0,32.14,0
GSM1094922,8.17,0.03,2.51,0.53,26.09,16.67,0,0,11.44,0,34.56,0
GSM1094923,5.39,1.13,1.41,0,24.91,15.96,0,0.12,14.24,0.25,36.35,0.24
GSM1094924,7.03,0.22,3.34,0,26.92,17.12,0,0,12.27,0.02,33.08,0
GSM1094925,8.61,0,2.70,0,27.32,14.84,0,0,12.30,0.42,33.64,0.17
GSM1094926,6.59,0,3.42,0.05,25.97,16.48,0,0.02,11.27,0,36.21,0
GSM1094927,8.24,0.32,1.36,0,29.47,16.71,0,0,12.23,0,31.67,0
GSM1094928,6.41,0.51,2.51,0,28.19,15.20,0,0.11,11.52,0,35.56,0
GSM1094929,6.81,0,3.06,0,27.04,16.52,0,0.67,12.36,0,33.11,0.43
GSM1094930,7.79,0.11,0.83,0,28.92,14.41,1.04,0,10.96,0,35.94,0
GSM1094931,7.32,0,1.22,0,28.81,16.36,0.12,0,12.12,0,33.61,0.45
GSM1094932,8.09,0,1.61,0.24,27.98,15.49,0.45,0.25,11.43,0,33.95,0.52
GSM1094933,7.71,0,1.35,0.56,29.83,14.28,0.36,0,11.37,0,34.54,0
GSM1094934,6.87,0,1.70,0.29,29.78,16.98,1.27,0.07,11.25,0,31.80,0
GSM1094935,6.93,0,2.32,0.18,29.55,15.09,1.27,0,11.54,0.10,33.03,0
GSM1094936,7.66,0.13,4.68,0,29.10,12.67,0,0,11.46,0,34.30,0
GSM1094937,6.87,0,3.37,0.70,27.90,14.66,0.52,0.28,12.16,0.42,32.22,0.89
GSM1094938,6.75,0,4.76,0,28.35,19.43,0.30,0,10.05,0,30.36,0
GSM1094939,8.68,0,2.02,0,29.55,12.63,0,0,11.85,0.29,34.96,0
GSM1094940,7.98,0,5.12,0,29.17,17.48,0,0,10.01,0,30.23,0
GSM1094941,9.81,0,3.03,0,29.94,16.69,0,0,10.82,0,29.71,0
GSM1094942,6.62,0,3.16,0,28.21,17.43,0,0,9.57,0,35.02,0
GSM1094943,7.15,0,3.57,0,26.09,16.83,0,0,10,0,36.37,0
GSM1094944,6.47,0,1.98,0.15,27.60,14.47,0.54,0.66,12.90,0,35.01,0.21
GSM1094945,7.95,0,6.32,0,27.42,15.28,0,0,11.09,0,31.94,0
GSM1094946,8.09,0,5.36,0,28.25,13.36,0,0,10.65,0,34.30,0
GSM1094947,7.87,0,3.14,0,27.75,17.53,0.30,0,10.27,0.11,33.03,0
GSM1094948,7.65,0,2.73,0.17,28.62,19.85,0,1.13,9.01,0,30.84,0
GSM1094949,8.58,0,2.91,0.44,24.08,19.64,0,0,11.03,0.08,33.23,0
GSM1094950,8.13,0,3.76,0,26.22,18.95,0,1.31,9.45,0,32.17,0
GSM1094951,8.67,0,3.46,0,27.82,16.90,0,0,11.56,0,31.59,0
GSM1094952,7.59,0,2.21,0.04,30.75,15.80,0,1.75,9.50,0,32.33,0.03
GSM1094953,6.83,0,4.05,0.36,29.24,18.19,0.01,0,10.34,0.38,30.60,0
GSM1094954,5.95,0,4.54,0.62,25.85,18.99,0,0.21,9.85,0,33.97,0.01
GSM1094955,7.93,0,2.54,0,30.28,18.45,0,0,11.31,0,29.49,0
GSM1094956,8.25,0,3.19,0.01,25.58,19.00,0,0.76,11.17,0,32.04,0
GSM1094957,8.11,0,3.62,0.42,28.40,19.02,0,0.39,9.66,0,30.37,0
GSM1094958,7.38,0,1.98,0.99,29.04,15.59,0,0.03,11.53,0,33.45,0
GSM1094959,6.99,0,3.22,0,26.33,16.29,0,0.60,12.16,0.22,34.18,0
GSM1094960,8.72,0,3.23,0,27.06,15.44,0,0.81,11.78,0.01,32.94,0
GSM1094961,7.57,0.74,3.35,0,25.83,15.16,0.10,0.54,12.39,0,34.33,0
GSM1094962,8.98,0,2.83,0,27.18,16.13,0,1.16,11.15,0,32.58,0
GSM1094963,7.21,0,2.79,0,26.15,18.14,0,0.86,11.04,0.55,33.26,0
GSM1094964,7.90,0,2.53,0,26.42,15.74,0,0.80,10.57,1.01,35.03,0
GSM1094965,8.10,0.52,2.39,0.51,23.40,16.59,0,0.02,13.79,0,34.68,0
GSM1094966,7.69,0.87,1.21,0.51,26.66,17.31,0,1.05,14.57,0.42,29.71,0
GSM1094967,6.80,0.96,1.93,0,26.98,17.73,0,0,14.06,0,31.53,0
GSM1094968,8.54,0,1.76,0.93,26.53,16.29,0,0,12.44,0,33.51,0
GSM1094969,6.83,0.14,4.58,0.56,26.04,18.03,0,0.48,11.67,0,31.67,0
GSM1094970,4.22,0.33,5.33,0,27.78,20.22,0,0.07,10.88,0,31.17,0
GSM1094971,8.51,0,4.01,0.28,26.61,18.24,0,0.42,11.50,0,30.43,0
GSM1094972,7.19,0,2.74,0,27.02,14.93,0,0,13.08,0,35.03,0
GSM1094973,4.42,0,3.54,0,30.71,15.63,0.81,0.08,11.98,0,32.76,0.08
GSM1094974,5.88,0,2.74,0.20,29.93,14.64,0,0,12.52,0,34.07,0.02
GSM1094975,6.23,0,1.96,0.28,25.33,14.87,0,0,14.44,0,36.88,0
GSM1094976,6.23,0,1.52,0,28.81,13.98,0,0,12.41,0,36.42,0.63
GSM1094977,6.84,0,2.93,0,26.41,16.07,1.09,0,11.71,0,34.95,0
GSM1094978,5.70,0.30,3.06,0,27.51,15.65,0.11,0,12.71,0,34.97,0
GSM1094979,7.05,0,0.75,0,24.94,16.93,1.11,0,11.45,0,37.77,0
GSM1094980,5.78,0,1.88,0,28.71,17.81,0,0,11.03,1.06,33.74,0
GSM1094981,8.58,0,2.97,0.42,32.77,17.13,0,0,8.49,0,29.63,0
GSM1094982,10.53,0.44,1.17,0,31.67,16.65,0,0,10.59,0,28.96,0
GSM1094983,8.80,0.20,2.74,0.36,25.20,14.81,0,0,12.00,0,35.90,0
GSM1094984,4.48,0,1.09,0,26.83,18.23,0,0,11.85,0.06,37.45,0
GSM1094985,8.84,0,1.70,0.37,27.32,17.57,0,1.00,9.28,0,33.94,0
GSM1094986,10.44,0,5.55,0,27.50,15.08,0,0,7.64,0,33.79,0
GSM1094987,7.97,0,3.53,0.16,27.28,18.16,0,1.16,10.41,0.14,31.17,0
GSM1094988,8.12,0,3.08,0.77,27.50,17.78,0,1.16,9.33,0,32.26,0
GSM1094989,7.62,0,2.66,0.02,27.33,18.06,0,0.85,11.31,0,32.14,0
GSM1094990,7.99,0,4.12,0,27.95,17.36,0,0,10.80,0,31.78,0
GSM1094997,7.08,0,2.37,0,30.37,13.98,0,0,9.28,0,36.92,0
GSM1094998,6.79,0,4.81,0,29.90,13.76,0.24,0,11.40,0,33.10,0
GSM1095000,9.06,0,2.25,0,28.76,16.94,0,0,11.48,0,31.51,0
GSM1095001,9.17,0,2.18,0.50,30.23,13.45,0,0.04,10,0,34.42,0
GSM1095002,8.33,0.54,1.32,0,29.66,12.63,0,0,13.35,0.10,34.06,0
GSM1095003,8.95,0.88,1.61,0,30.09,11.76,0,0,11.84,0.63,34.25,0
GSM1095004,8.12,0.59,3.92,0.17,27.03,17.41,0.01,0,9.48,0,33.26,0
GSM1095005,6.11,0,1.20,0,24.32,14.12,1.55,0.08,12.59,0.04,39.78,0.20
GSM1095006,6.87,0,3.34,0.29,25.50,13.41,0.08,0,12.65,0.56,37.30,0
GSM1095007,9.27,0,2.32,0,25.24,13.70,0.35,0,12.40,0.01,36.71,0
GSM1095008,4.94,0,1.19,0,28.57,15.65,1.12,0,14.34,0,33.95,0.24
GSM1095009,5.63,0.91,3.04,0,27.44,13.39,0,0,13.44,0.19,35.96,0
GSM1095010,7.19,0.32,2.64,0,28.06,14.45,0,0,11.76,0.98,34.58,0.01
GSM1095011,5.25,0,0.47,0,30.19,15.28,0.46,0,13.12,0,34.80,0.42
GSM1095012,5.50,0,2.03,0.11,27.18,17.83,0.16,0,13.96,0,33.24,0
GSM1095013,5.45,0,2.03,0.10,27.23,17.80,0.18,0,13.95,0,33.27,0
GSM1095014,6.71,0,2.30,0.12,27.81,17.02,0,0,11.96,0,34.08,0
GSM1095015,7.60,0,2.92,0,30.26,14.81,0,0,12.46,0,31.94,0
GSM1095016,7.32,0,2.43,0,26.69,16.94,0,0,13.27,0,33.34,0
GSM1095017,6.40,0,3.56,0,26.37,16.23,0.29,0,12.35,0.10,34.69,0
GSM1095018,5.82,0,1.81,0,28.50,17.58,1.12,0.37,13.06,0,31.74,0
GSM1095019,5.46,0,3.63,0,34.78,15.88,0.07,0.87,10.13,0,29.17,0
GSM1095020,6.55,0,2.64,0,28.69,19.21,1.11,0.78,10.42,0,30.60,0
GSM1095021,7.21,0,4.34,0,33.21,18.03,0.74,0.66,8.35,0,27.46,0
GSM1095022,7.64,0.71,3.64,0,29.58,16.14,0,0,9.18,0.96,32.15,0
GSM1095023,5.13,0,4.14,0,27.34,18.96,0,0.95,12.05,0,31.45,0
GSM1095024,5.55,0.61,2.05,0,28.66,16.23,0,0,11.10,0,35.76,0.03
GSM1095025,6.79,0,5.27,0.11,27.40,16.71,0,0.88,12.06,0,30.78,0
GSM1095026,8.20,0,4.25,0,29.19,14.15,0,0.30,10.45,0,33.33,0.12
GSM1095027,5.95,0,4.24,0.25,28.12,17.63,0,0.18,11.16,0.44,32.04,0
GSM1095028,4.94,0.20,3.21,0,29.38,16.40,0,0.37,11.06,0.44,34.00,0
GSM1095029,7.16,1.10,3.78,0,32.01,14.03,0,0,9.39,0.55,31.98,0
GSM1095030,7.22,0,3.37,0,31.20,12.13,0,0,12.20,2.36,31.52,0
GSM1095031,6.97,0.19,2.56,1.66,31.57,11.67,0,0.10,11.44,0,33.84,0
GSM1095032,7.98,0.58,3.96,0.86,32.30,16.17,0,0,8.49,0,29.66,0
GSM1095033,7.14,1.37,2.93,0.84,31.28,14.47,0,0,10.53,0,31.43,0
GSM1095034,4.58,0.99,1.96,1.20,31.02,17.90,0,0,9.40,0,32.96,0
GSM1095035,8.07,0,4.19,0,28.42,14.82,0,0,10.36,0,34.15,0
GSM1095036,6.87,1.53,2.34,0.64,32.57,14.17,0,0.52,10.73,0,30.63,0
GSM1095037,9.81,0,3.31,0.63,29.78,13.17,0,0,10.40,0,32.80,0.10
GSM1095038,5.88,1.40,4.45,0.07,31.99,11.69,0,0,10.82,0.55,33.16,0
GSM1095039,7.11,0,4.23,0,28.35,16.45,0,0.04,11.29,0,32.52,0
GSM1095040,7.11,0,3.29,0,27.65,14.61,0,0.38,13.16,0.05,33.76,0
GSM1095041,6.61,0,5.34,0,25.35,14.61,0,0,10.37,0,37.71,0
GSM1095043,7.33,0,3.64,0,30.20,14.88,0,0.64,9.87,0.09,33.35,0
GSM1095044,8.33,0,3.36,0,30.82,13.85,0,2.13,10.35,0.89,30.28,0
GSM1095045,6.23,0.32,3.95,0.50,31.70,12.71,0,0.60,10.79,0.34,32.86,0
GSM1095046,8.04,0,3.77,0,27.97,14.29,0,0,11.77,0.11,34.05,0
GSM1095047,5.27,0,2.96,0,30.23,16.49,0,0.03,11.32,0,33.69,0
GSM1095048,6.67,0,2.86,0,27.96,16.92,0,0.06,12.18,0,33.36,0
GSM1095049,6.79,0,2.82,0,28.16,15.31,0,0.37,11.73,0.17,34.65,0
GSM1095050,7.37,0,4.42,0.19,26.00,14.50,0,0,10.44,0,37.07,0
GSM1095051,6.73,0,2.70,0,28.99,16.34,1.14,0,10.14,0,33.96,0
GSM1095052,10.03,0,5.34,0,26.51,18.02,0,0,8.19,0,31.85,0.06
GSM1095053,5.74,0,0.58,0,25.53,14.95,1.49,0,12.22,0,39.03,0.46
GSM1095054,7.66,0,2.00,0,23.02,15.19,0.03,0.74,11.48,0,39.89,0
GSM1095055,6.79,0,4.06,0,30.21,18.34,0,0,10.78,0,29.82,0
GSM1095056,6.37,0,2.68,0,27.25,17.76,0,0.12,12.06,0,33.76,0
GSM1095057,5.41,0.86,3.27,0,28.98,16.77,0,0,10.48,1.99,31.71,0.53
GSM1095058,6.95,0,3.28,0,30.52,19.54,0,0,10,0,29.71,0
GSM1095059,5.28,0,2.30,0,31.64,20.21,1.01,0.81,8.89,0,29.86,0
GSM1095060,5.33,0,3.22,0,32.81,18.03,0.95,1.15,10.85,0,27.65,0
GSM1095062,7.80,0,4.35,0,29.63,19.47,0,0.32,9.91,0,28.53,0
GSM1095063,7.00,0,4.35,0,26.98,16.54,0,0.62,13.47,0.20,30.84,0
GSM1095064,7.97,0,4.17,0,30.26,16.52,0,0,10.57,0,30.20,0.31
GSM1095065,7.33,0,1.45,0,27.66,16.13,0,0.22,12.45,0.06,34.70,0
GSM1095066,8.75,0.44,2.51,0,26.21,18.49,0,0,12.41,0.41,30.77,0
GSM1095067,7.10,0.09,2.63,0,26.65,21.72,0,0,13.24,0,28.59,0
GSM1095068,5.05,0,2.41,0.07,29.30,19.20,0.32,0.26,12.38,0,30.81,0.22
GSM1095069,7.43,0,2.08,0.07,29.24,20.26,0,0,11.89,0,29.02,0
GSM1095070,6.12,0,2.19,0,32.37,21.75,0,0.07,8.75,0,28.74,0
GSM1095071,6.75,0,0.19,0,30.12,17.69,1.17,0,12.74,0.51,30.83,0
GSM1095072,5.33,0,2.91,0,30.27,19.36,1.33,0.01,9.98,0,30.81,0
GSM1095073,5.85,0,0.15,0,31.53,17.78,1.04,0,12.10,0,31.55,0
GSM1095074,8.33,0,1.17,0,29.77,17.31,0,0,11.09,0.71,31.63,0
GSM1095075,5.86,0,0.85,0,30.93,17.57,1.05,0,12.06,0,31.69,0
GSM1095076,8.55,0,2.82,0,29.56,15.75,0.59,0.05,11.42,0.29,30.97,0
GSM1095078,7.42,0,3.06,0,30.47,18.20,0.72,0,11.53,0,28.60,0
GSM1095083,4.91,0,4.04,0,31.39,17.66,0,0,10.27,0,31.74,0
GSM1095084,7.39,0,5.16,0.86,28.35,16.41,0.58,0.86,9.40,0,31.00,0
GSM1095085,7.51,0.59,3.30,0.58,29.39,18.45,0,0.54,10.44,0,29.20,0
GSM1095086,7.51,0,2.37,0,26.91,15.47,0,0.49,12.40,0.54,34.32,0
GSM1095087,7.20,0.17,4.81,0,27.54,15.18,0.12,0.84,12.01,0,32.03,0.10
GSM1095088,5.36,0,3.75,0,24.86,17.90,0,0,10.96,0,37.17,0
GSM1095090,5.64,0,1.84,0.66,25.96,16.42,0,0,13.40,0,36.09,0
GSM1095091,5.62,0,4.16,0.16,26.67,15.28,0.30,0,12.15,0,35.67,0
GSM1095093,6.65,0,2.03,1.05,25.76,17.36,0,0,9.82,0.01,37.32,0
GSM1095094,5.32,0,3.92,0,28.86,16.96,0.06,0,9.16,0.77,34.95,0
GSM1095095,5.15,0,2.57,0.03,26.39,17.74,0,0,10.92,0.43,36.44,0.34
GSM1095096,6.57,0,2.32,0,27.16,17.65,0,0,11.08,1.01,34.19,0
GSM1095097,4.27,1.08,2.55,0,28.86,17.16,0.23,0,13.09,0,32.27,0.49
GSM1095098,6.68,0,2.39,0,26.32,11.83,0.08,0.15,13.05,0.49,39.01,0
GSM1095099,5.56,0.55,5.93,0,26.99,12.26,0,0.36,10.55,0,37.81,0
GSM1095100,5.48,0.54,4.05,0,27.51,12.25,0,0.58,13.08,0,36.52,0
GSM1095101,4.17,1.01,4.16,0,26.51,13.68,0,0.73,11.95,0,37.80,0
GSM1095102,4.28,0,1.81,0,27.35,16.64,0,0.67,12.67,0,36.58,0
GSM1095103,5.22,0,3.42,0.69,28.58,18.06,0,0.62,10.78,0,32.64,0
GSM1095104,4.98,0,2.26,0,28.92,17.51,0,0.18,12.01,0,34.13,0
GSM1095105,4.76,0,0.89,0,30.15,17.22,0,1.02,9.92,0,36.03,0
GSM1095106,7.33,0.73,2.65,0,27.23,17.14,0,0.16,11.74,0,33.02,0

---

https://www.ncbi.nlm.nih.gov/geo/que...i?acc=GSE44974

Salento: Thanks. Of those samples, 70 for me are < 5.

Distance to:	PalermoTrapani_ANCESTRY
1.95514705	GSM1095015
2.46696169	GSM1094909
2.59528418	GSM1094998
2.90344623	GSM1094894
2.95487732	GSM1095045
3.02230045	GSM1095030
3.03283696	GSM1094900
3.04565264	GSM1095033
3.05330968	GSM1094888
3.26423038	GSM1094937
3.33935623	GSM1094974
3.40558365	GSM1094935
3.52251331	GSM1095076
3.65928955	GSM1095026
3.69542961	GSM1095044
3.71059294	GSM1095036
3.74395513	GSM1094920
3.76940314	GSM1094910
3.77375145	GSM1094973
3.78707011	GSM1095087
3.80018421	GSM1094896
3.82014398	GSM1095043
3.82631677	GSM1094936
3.83676947	GSM1094912
3.85436117	GSM1095031
3.89843558	GSM1094889
3.93312853	GSM1094898
3.97107038	GSM1095040
3.98040199	GSM1094958
4.02185281	GSM1095029
4.05879292	GSM1094901
4.06332376	GSM1095038
4.10167039	GSM1095046
4.11379387	GSM1095037
4.14097815	GSM1095064
4.16511705	GSM1095039
4.21633727	GSM1094903
4.22516272	GSM1095002
4.30033720	GSM1094893
4.42444347	GSM1094933
4.45814984	GSM1094927
4.46421326	GSM1095047
4.57246104	GSM1094885
4.57458195	GSM1095010
4.59035946	GSM1094934
4.61629722	GSM1095035
4.64952686	GSM1095049
4.66112647	GSM1094952
4.68720599	GSM1094925
4.68953089	GSM1094939
4.72360032	GSM1094946
4.77518586	GSM1095003
4.80040623	GSM1094890
4.80399833	GSM1094960
4.82778417	GSM1095063
4.83803679	GSM1094905
4.84657611	GSM1095025
4.84841211	GSM1094916
4.85082467	GSM1095022
4.85676847	GSM1095048
4.86672374	GSM1094931
4.86777156	GSM1094895
4.87511026	GSM1094945
4.88631763	GSM1094951
4.88873194	GSM1095000
4.88952963	GSM1095028
4.94902011	GSM1095001
4.99498749	GSM1094899
5.02794192	GSM1094932
5.03137158	GSM1094929

You’re Welcome PT, … got few at 1, the Tarantati :)

https://i.imgur.com/Hk7CAPV.gif

Quote:

---

Originally Posted by Salento

You’re Welcome PT, … got few at 1, the Tarantati :)

https://i.imgur.com/Hk7CAPV.gif

---

Looks like those samples are your next door neighbors:great:

Quote:

---

Originally Posted by Palermo Trapani

Looks like those samples are your next door neighbors:great:

---

… many samples are related, I guess if you have a hit to a family chain, the distance between samples could be minimal.

… A total of 217 individuals consisting of 51 IgAN cases and 166 healthy relatives were included …

https://www.ncbi.nlm.nih.gov/geo/que...i?acc=GSE44974

Modern Grecía Salentina (Griko towns of Salento) - Reitsema et al. PNAS 2022

Dodecad K12b :

Code:

---

Italian_South:PuG12_Soleto_LE_Apulia,4.49,0.23,2.04,0,25.77,17.59,0,0.96,13.57,0,35.34,0
Italian_South:PuG17_Soleto_LE_Apulia,9.24,0,1.88,0,32.26,14.11,0,0.39,11.31,0.2,30.61,0
Italian_South:PuG20_Calimera_LE_Apulia,8.37,0,3.12,0,25.87,9.98,0,0.74,11.7,0,40.21,0
Italian_South:PuG28_Martano_LE_Apulia,7.36,0,2.72,0.07,27.57,14.1,0,0.39,11.04,0,36.75,0
Italian_South:PuG33_Sternatia_LE_Apulia,4.68,1.22,3.08,0,23.07,16.05,0,0.32,11.09,0,40.48,0
Italian_South:PuG37_Soleto_LE_Apulia,7.45,0,2.66,0,27.16,15.9,0,0,12.82,0,33.76,0.24
Italian_South:PuG46_Martano_LE_Apulia,8.05,0.14,0.93,0,25.84,17.1,0,0,14.95,0.22,32.76,0
Italian_South:PuG58_Martano_LE_Apulia,7.63,0,2.91,0,29.07,13.83,0.87,0.19,11.49,0,34.01,0
Italian_South:PuG66_Zollino_LE_Apulia,3.94,0.53,4.12,0,25.05,18.54,0,0,11.34,0,36.47,0
Italian_South:PuG74_Zollino_LE_Apulia,8.11,0,3.59,0,29.12,17.8,0,0,9.08,0,32.29,0

---

Distance to:	Salento
1.95409826	Italian_South:PuG37_Soleto_LE_Apulia
3.15101571	Italian_South:PuG12_Soleto_LE_Apulia
4.08968214	Italian_South:PuG46_Martano_LE_Apulia
4.17317625	Italian_South:PuG58_Martano_LE_Apulia
4.36927912	Italian_South:PuG28_Martano_LE_Apulia
4.77391873	Italian_South:PuG66_Zollino_LE_Apulia
4.90716823	Italian_South:PuG74_Zollino_LE_Apulia
7.55883589	Italian_South:PuG17_Soleto_LE_Apulia
8.06333058	Italian_South:PuG33_Sternatia_LE_Apulia
9.73435668	Italian_South:PuG20_Calimera_LE_Apulia

Distance to:	Salento
2.20406443	Italian_Apulia

Distance to:	Italian_South:PuG37_Soleto_LE_Apulia
2.36499471	Italian_Apulia

Distance to:	Italian_South:PuG46_Martano_LE_Apulia
4.25241108	Italian_Apulia

Distance to:	Italian_South:PuG74_Zollino_LE_Apulia
2.61654352	Italian_Abruzzo

Distance to:	Italian_South:PuG17_Soleto_LE_Apulia
4.75371434	Italian_Abruzzo

Distance to:	Italian_South:PuG58_Martano_LE_Apulia
1.33947751	Italian_Campania

Distance to:	Italian_South:PuG28_Martano_LE_Apulia
3.08311531	Italian_Campania

Distance to:	Italian_South:PuG66_Zollino_LE_Apulia
3.72820332	Greek_Foca

Distance to:	Italian_South:PuG12_Soleto_LE_Apulia
3.81972512	Greek_Foca

Distance to:	Italian_South:PuG20_Calimera_LE_Apulia
3.89725544	Greek_Rhodes

Distance to:	Italian_South:PuG33_Sternatia_LE_Apulia
4.06484932	Greek_Izmir

From post 980:

Distance to:	Jovialis
0.97826377	GSM1094919
1.52836514	GSM1094895
1.72962424	GSM1094990
2.00763543	GSM1094947
2.06402519	GSM1095022
2.09752235	GSM1095000
2.19444754	GSM1094951
2.28932304	GSM1094953
2.32150813	GSM1094893
2.36816385	GSM1095064
2.39294797	GSM1094988
2.42435558	GSM1095039
2.43209786	GSM1094940
2.47018218	GSM1095076
2.48340492	GSM1094957
2.54582010	GSM1094987
2.54915672	GSM1094898
2.57217807	GSM1095074
2.57299436	GSM1094901
2.63687315	GSM1094896
2.72490367	GSM1094989
2.81423169	GSM1095004
2.87212465	GSM1094934
2.89420110	GSM1094903
2.91494425	GSM1094889

Quote:

---

Originally Posted by Jovialis

From post 980:

Distance to:	Jovialis
0.97826377	GSM1094919
1.52836514	GSM1094895
1.72962424	GSM1094990
2.00763543	GSM1094947
2.06402519	GSM1095022
2.09752235	GSM1095000
2.19444754	GSM1094951
2.28932304	GSM1094953
2.32150813	GSM1094893
2.36816385	GSM1095064
2.39294797	GSM1094988
2.42435558	GSM1095039
2.43209786	GSM1094940
2.47018218	GSM1095076
2.48340492	GSM1094957
2.54582010	GSM1094987
2.54915672	GSM1094898
2.57217807	GSM1095074
2.57299436	GSM1094901
2.63687315	GSM1094896
2.72490367	GSM1094989
2.81423169	GSM1095004
2.87212465	GSM1094934
2.89420110	GSM1094903
2.91494425	GSM1094889

---

https://i.imgur.com/3pHO34f.png

The University of Bari samples proved by Salento, along with the HO samples for modern Italians and Greeks.

Posts 980 and 985.

My husband:Calabrian and Neapolitan. Just goes to show how much variation there is in Italy

Distance to:	AJF
3.27852101	GSM1094936
3.54389616	GSM1094946
3.87524193	GSM1095046
4.06771435	GSM1094939
4.29884868	GSM1095037
4.38501995	GSM1095003
4.45004494	Italian_South:PuG58_Martano_LE_Apulia
4.47335445	GSM1094925
4.47493017	GSM1095026
4.66356087	GSM1095002
4.69107664	GSM1094914
4.70506110	GSM1095040
4.76965408	GSM1095035
4.92334236	GSM1094998
4.93752975	GSM1095010
4.97353999	GSM1095007
5.00201959	GSM1094960
5.03388518	GSM1094912
5.14282024	GSM1095100
5.15748000	GSM1094961
5.15916660	GSM1094907
5.16153078	GSM1094972
5.18804395	GSM1095001
5.24295718	GSM1094983
5.30195247	Italian_South:PuG28_Martano_LE_Apulia

Mine:

Distance to:	Angela
8.71578453	GSM1095019
8.74159024	GSM1095021
9.69428182	GSM1095070
9.72829379	GSM1095060
10.03881965	GSM1094981
10.28254832	GSM1095059
10.58352493	GSM1095032
11.81788475	GSM1095058
11.84127105	GSM1095083
11.88272696	GSM1094886
11.88548695	GSM1095036
12.10295005	GSM1095072
12.16497431	GSM1094916
12.36088994	GSM1095078
12.36557722	GSM1095034
12.42849146	GSM1095029
12.44351638	GSM1094982
12.48553563	GSM1095055
12.58124795	GSM1094900
12.59615814	GSM1095073
12.63846114	GSM1095062
12.70580969	GSM1094955
12.82767711	GSM1094887
12.90940742	Italian_South:PuG17_Soleto_LE_Apulia
12.92976798	GSM1095033

Wow! these guys must really be from Bari, because they're mostly my top scores. Even when comparing every single other academic sample from Italy that we have:

Distance to:	Jovialis
0.97826377	GSM1094919
1.18486286	Apulia:PuG74_Zollino_LE_Apulia
1.52836514	GSM1094895
1.72962424	GSM1094990
1.85132385	Molise:PG26_Molise
2.00763543	GSM1094947
2.06402519	GSM1095022
2.09752235	GSM1095000
2.16529444	Abruzzo:Alp140
2.19444754	GSM1094951
2.28932304	GSM1094953
2.32150813	GSM1094893
2.36816385	GSM1095064
2.39294797	GSM1094988
2.42435558	GSM1095039
2.43209786	GSM1094940
2.47018218	GSM1095076
2.48340492	GSM1094957
2.54582010	GSM1094987
2.54915672	GSM1094898
2.57217807	GSM1095074
2.57299436	GSM1094901
2.63687315	GSM1094896
2.71775643	Abruzzo:Alp090
2.72490367	GSM1094989

My Distances from Jovialis Post 985. Some good ones (3 < 5).

Distance to:	PalermoTrapani_ANCESTRY
3.60498266	Italian_South:PuG58_Martano_LE_Apulia
3.94353902	Italian_South:PuG17_Soleto_LE_Apulia
4.96074591	Italian_South:PuG37_Soleto_LE_Apulia
6.03743323	Italian_South:PuG74_Zollino_LE_Apulia
6.48520624	Italian_South:PuG28_Martano_LE_Apulia
7.17320012	Italian_South:PuG46_Martano_LE_Apulia
8.05313604	Italian_South:PuG12_Soleto_LE_Apulia
9.61073358	Italian_South:PuG66_Zollino_LE_Apulia
10.75915424	Italian_South:PuG20_Calimera_LE_Apulia
12.41803527	Italian_South:PuG33_Sternatia_LE_Apulia

Quote:

---

Originally Posted by Palermo Trapani

My Distances from Jovialis Post 985. Some good ones (3 < 5).

Distance to:	PalermoTrapani_ANCESTRY
3.60498266	Italian_South:PuG58_Martano_LE_Apulia
3.94353902	Italian_South:PuG17_Soleto_LE_Apulia
4.96074591	Italian_South:PuG37_Soleto_LE_Apulia
6.03743323	Italian_South:PuG74_Zollino_LE_Apulia
6.48520624	Italian_South:PuG28_Martano_LE_Apulia
7.17320012	Italian_South:PuG46_Martano_LE_Apulia
8.05313604	Italian_South:PuG12_Soleto_LE_Apulia
9.61073358	Italian_South:PuG66_Zollino_LE_Apulia
10.75915424	Italian_South:PuG20_Calimera_LE_Apulia
12.41803527	Italian_South:PuG33_Sternatia_LE_Apulia

---

Indeed, both Apulia and Sicily have a pan-southern Italian range that overlaps each other. Along with the rest of the South.

Red plus are the samples from Bari University:

https://i.imgur.com/MtXwcLI.png

Distance to:	Jovialis
0.97826377	Bari:GSM1094919
1.18486286	Apulia:PuG74_Zollino_LE_Apulia
1.52836514	Bari:GSM1094895
1.72962424	Bari:GSM1094990
1.85132385	Molise:PG26_Molise
2.00763543	Bari:GSM1094947
2.06402519	Bari:GSM1095022
2.09752235	Bari:GSM1095000
2.16529444	Abruzzo:Alp140
2.19444754	Bari:GSM1094951
2.28932304	Bari:GSM1094953
2.32150813	Bari:GSM1094893
2.36816385	Bari:GSM1095064
2.39294797	Bari:GSM1094988
2.42435558	Bari:GSM1095039
2.43209786	Bari:GSM1094940
2.47018218	Bari:GSM1095076
2.48340492	Bari:GSM1094957
2.54582010	Bari:GSM1094987
2.54915672	Bari:GSM1094898
2.57217807	Bari:GSM1095074
2.57299436	Bari:GSM1094901
2.63687315	Bari:GSM1094896
2.71775643	Abruzzo:Alp090
2.72490367	Bari:GSM1094989

Quote:

---

Originally Posted by Jovialis

Red plus are the samples from Bari University:

https://i.imgur.com/MtXwcLI.png

Distance to:	Jovialis
0.97826377	Bari:GSM1094919
1.18486286	Apulia:PuG74_Zollino_LE_Apulia
1.52836514	Bari:GSM1094895
1.72962424	Bari:GSM1094990
1.85132385	Molise:PG26_Molise
2.00763543	Bari:GSM1094947
2.06402519	Bari:GSM1095022
2.09752235	Bari:GSM1095000
2.16529444	Abruzzo:Alp140
2.19444754	Bari:GSM1094951
2.28932304	Bari:GSM1094953
2.32150813	Bari:GSM1094893
2.36816385	Bari:GSM1095064
2.39294797	Bari:GSM1094988
2.42435558	Bari:GSM1095039
2.43209786	Bari:GSM1094940
2.47018218	Bari:GSM1095076
2.48340492	Bari:GSM1094957
2.54582010	Bari:GSM1094987
2.54915672	Bari:GSM1094898
2.57217807	Bari:GSM1095074
2.57299436	Bari:GSM1094901
2.63687315	Bari:GSM1094896
2.71775643	Abruzzo:Alp090
2.72490367	Bari:GSM1094989

---

Just thought of something, regarding the Ancestry DNA results:

https://i.imgur.com/D2Tc5x5.png


It is no wonder why I am only getting 57% from Bari, just look at the range of samples from that region (From Umbria to Calabria)

I guess if they sampled more closely to the part of the range I plot in, I'd probably get closer to 100% (which is what I am)

Interesting. Thanks to you guys for identifying the Bari samples, I think my Italian similarity map project is getting more accurate over time.
I still need more G25 samples from Sicily, Foggia and Benevento, though.

Testing with my coordinates:
https://cdn.discordapp.com/attachmen...2859412/cc.png