Genetica d'Italia

[kaltar]

And problems as well as many Spanish averages.

Spanish_Asturias, Spanish_Barcelones, Spanish_Castilla_Y_Leon Spanish_Andalucia with more than 50% of Yamnaya!

These results are not at all plausible.

[Samnium]

Color-blindness in Calabria (Southern Italy): A north-south decreasing trend

https://www.ncbi.nlm.nih.gov/pubmed/11534000

"The three Calabrian provinces, with the exception of the ethnic minorities, show a decreasing trend in the frequency of CB from north to south (Fig. 2): CS, 6.23%; CZ, 4.65%; RC, 3.43%, (x2 4 32.5; P < 0.0005; df 2). The frequencies also differ significantly between CS and CZ (x2 4 9.44; P < 0.005; df 1) and CS and RC (x2 4 28.913; P < 0.0005; df 1); there is a significant difference betweenCZandRCprovinces(x2 4 5.435;P< 0.001; df 1).

[...] Cosenza province also shows some other peculiarities regarding genetic markers.Tagarelli et al. (1991a) showed an opposite trend for glucose-6-phosphate dehydrogenase (G6PD) deficiency in respect to that of CB. The mean frequency of this deficiency has a maximal value on the Ionian coast (1.92%) and a minimal value on Tyrrhenian coast (0.93%), passing through the internal area (1.67%). This trend may be explained by historical and environmental factors. All other areas with higher G6PD deficiency frequencies are those areas where, during the VIIIth to Vth centuries BC, the Greeks (people who brought the more common G6PD genotype Mediterranean G6PD into Calabria) made their more populous settlements. These areas are also the same where malaria was endemic in the past (Tagarelli et al., 1997), and where another inherited disorder, the thalassemias (Brancati and Tagarelli, 1982), are present. Filosa et al. (1993) showed a linkage disequilibrium between the G6PD deficiency locus with that for CB within a Tyrrhenian sample from Cosenza province. Another trend was demonstrated by Tagarelli et al. (1991b) for the phosphoglucomutase 1 locus (PGM1). There was an increase in the trend from the Ionian coast towards that Tyrrhenian coast for the PGM1*1S allele,and a decrease in the same direction for the PGM1*2S allele. There was no trend for the Gm polymorphism (De Benedictis et al., 1986) as for other Calabrian polymorphisms (Piazza et al., 1989).
[…]
Furthermore, the precarious economic status and the geographical peculiarities of the territory did not allow communication between the three Calabrian provinces until the beginning of this century. Until this period, there was only one road, the state road “S.S.19” which follows the ancient “Via Popilia,” built for military reasons following the occupation by the Romans. Improvement of the roads during the period following World War II allowed better communication between Cosenza, Catanzaro, and Reggio Calabria. But, when the towns along the Tyrrhenian and Ionian coasts improved their communications with other towns, those in the internal region were again isolated. "





X-chromosome SNP analyses in 11 human Mediterranean populations show a high overall genetic homogeneity except in North-west Africans
(Moroccans)

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2315647/

In Figure 1a, the first two axes accounted for 39% of the total variability (first axis: 25%, second axis: 14%). Thus, the Mediterranean populations are quite homogeneous. Equivalently to the results of the AMOVA analysis, the Moroccan population was considerably displaced in the first axis, and the Majorcans were placed in the opposite direction. In the second axis, the differentiation was less, but it is interesting that the Cosenza and Ibiza populations were located opposite to their neighbouring populations (i.e. Catanzaro and Valencia, respectively).



(Cosenza is CSZ, Reggio is RCA)


As we have commented above, relative high genetic distances between neighbouring populations were found between Cosenza and (1) Catanzaro and (2) Reggio di Calabria and between Ibiza and (1) Majorca and (2) Valencia. The results support the hypothesis that the genetic differentiation of the Ibiza and Cosenza populations is a result of their particular demographic histories [15, 16, 23]. The Moroccan population showed a high level of differentiation in relation to the other populations, even to those that are geographically close to Morocco (Western side of the Mediterranean basin).

[...]

Tagarelli et al [16] described the Calabria province as a collection of many "human genetic isolates". In contrast to Catanzaro and Reggio di Calabria, Cosenza did not suffer destructive telluric events that would have modified its population structure. So, the population heterogeneity inside Cosenza is more patent than in any of the other two populations. This is reflected by the heterogenic distribution of various genetic markers at the coast compared to the internal areas [16]. The results obtained with the 25 X-chromosome markers were in agreement with the previous studies. Cosenza showed not just a relatively high genetic differentiation compared to the populations from Catanzaro and Reggio di Calabria but also a certain displacement in relation to other Mediterranean populations.

[...]

Moreover, when a parametric multilocus association analysis was performed, significant values of associations were only observed in the Ibiza and Cosenza populations."

[SharpFork]

Try this, using scale coordinates:

ENF:Anatolia_Pinarbasi_HG,0.113823,0.166547,0.0297 93,-0.082688,0.070782,-0.04016,-0.005875,0.001846,0.04745,0.079637,0.006008,0.0091 42,-0.021407,-0.009358,-0.042073,-0.003713,0.0442,-0.002787,0.008045,-0.001251,-0.013851,0.003339,-0.003451,-0.009278,-0.005628
ENF:Anatolia_Barcin_N,0.1175998,0.180118,0.0035312 ,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
ENF:HRV_Cardial_N,0.1233083,0.185165,0.0110623,-0.1009917,0.058575,-0.0501073,-0.0092437,-0.0053843,0.0513353,0.0925153,0.009202,0.016685,-0.026214,0.001055,-0.0417113,-0.017281,0.0122127,0.0006757,0.0111033,-0.0136317,-0.012478,0.005894,-0.0049713,-0.0110053,-0.008143
ENF:ITA_Grotta_Continenza_N,0.1222458,0.1842168,0. 0082966,-0.0902462,0.0553334,-0.044957,-0.0058282,-0.0081228,0.0436042,0.0857604,0.0063658,0.0136678,-0.0239346,-0.0047618,-0.0360746,-0.0112964,0.0194534,0.0015456,0.0086482,-0.0130314,-0.012827,0.0041546,-0.002465,-0.0036872,-0.0021554

WHG:I1875,0.130897,0.120848,0.191577,0.194447,0.15 9107,0.048248,0.015746,0.040152,0.087332,0.007472,-0.016076,-0.015436,0.017839,-0.003303,0.047909,0.047069,0.007302,0.018497,-0.003268,0.057027,0.087471,0.00915,-0.048436,-0.143153,0.01449
WHG:Rochedane,0.118376,0.111708,0.178001,0.184111, 0.150182,0.044623,0.010575,0.034383,0.090809,0.028 064,-0.014615,-0.016186,0.013974,-0.002752,0.058767,0.069344,0.002738,0.014189,-0.015335,0.054151,0.101446,0.013231,-0.050778,-0.178579,0.019519
WHG:ITA_Villabruna,0.121791,0.114755,0.18592,0.184 111,0.156337,0.060798,0.020211,0.035998,0.092445,0 .018041,-0.016239,-0.016186,0.016947,-0.010046,0.054017,0.067356,0.000782,0.005448,-0.008422,0.053526,0.100073,0.010758,-0.048313,-0.163517,0.01928
WHG:Iberia_Northwest_Meso,0.118376,0.088351,0.1621 62,0.17216,0.141565,0.0502,0.007285,0.035075,0.100 626,0.012392,-0.012017,-0.009292,0.022745,-0.00523,0.060531,0.056218,-0.021253,0.012415,-0.007919,0.085291,0.139254,0.024483,-0.068526,-0.254614,0.027662
WHG:WHG:ITA_Grotta_Continenza_Meso,0.1225497,0.112 0467,0.2008793,0.2048907,0.1728527,0.0618207,0.016 0593,0.0412293,0.108602,0.0271533,-0.0193243,-0.0143373,0.0162043,-0.0086703,0.0708007,0.069035,0.0002173,0.0120353,-0.0099303,0.0637807,0.118,0.0113347,-0.0608843,-0.1971763,0.021994
WHG:England_Mesolithic,0.126344,0.110693,0.202891, 0.197031,0.157876,0.055778,0.010575,0.03346,0.0865 14,0.016583,-0.017863,-0.01139,0.014866,-0.001651,0.061481,0.065499,0.002477,0.009882,-0.005531,0.06353,0.116295,0.019661,-0.055954,-0.179664,0.019399
WHG:Wales_Meso,0.1160995,0.1157705,0.187806,0.1954 16,0.1629535,0.0642845,0.0243235,0.030691,0.091524 5,0.010023,-0.020055,-0.0059945,0.0049805,-0.0015825,0.061617,0.0646375,-0.001043,0.010135,-0.0043995,0.0596535,0.1056885,0.0183625,-0.047327,-0.175386,0.017783
WHG:BEL_Loschbour:I0001,0.133173,0.106631,0.20176, 0.192186,0.164338,0.055778,0.00611,0.036922,0.0965 35,0.02278,-0.020786,-0.016186,0.024975,-0.007432,0.065824,0.063643,0.008084,0.006714,-0.013324,0.065281,0.120038,0.019166,-0.059405,-0.175687,0.022992

WHG:Baltic_LVA_HG,0.1292603,0.1004104,0.1802636,0. 1972329,0.1064236,0.0560919,0.0083574,0.0207106,0. 0524476,-0.0261394,-0.0046788,-0.0181151,0.0281434,-0.0053759,0.0355759,0.0480141,0.003072,0.0040856,-0.0059236,0.042325,0.0613526,0.0130531,-0.0262979,-0.1110549,0.0095949
WHG:NOR_N_HG,0.129758,0.075149,0.156882,0.189602,0 .053548,0.066655,-0.00047,0.006,0.022702,-0.054489,0.007632,-0.018583,0.031962,-0.024222,0.026058,0.044152,0.002217,0.00114,-0.002011,0.03039,0.024956,0.010016,-0.008997,-0.060852,0.005508
WHG:ROU_Iron_Gates_HG,0.1303272,0.1157702,0.174983 8,0.176036,0.1194838,0.0578,0.0108102,0.0302295,0. 056551,-0.0113898,-0.0038565,-0.0196325,0.024492,-0.004335,0.0332178,0.048594,0.0074645,0.0086782,-0.0058763,0.0448655,0.0666322,0.0105105,-0.0249885,-0.112064,0.0100292
WHG:SRB_Iron_Gates_HG,0.1305661,0.1170479,0.182173 6,0.179266,0.1313397,0.0553463,0.0143661,0.0327084 ,0.0650782,-0.010023,-0.0091618,-0.0172588,0.025608,-0.0001331,0.0333084,0.048361,0.0045466,0.0058194,-0.0069012,0.0482893,0.0749404,0.0111487,-0.0339606,-0.1222246,0.0112834
WHG:SWE_Motala_HG,0.13249,0.0895696,0.1651034,0.18 7341,0.0864774,0.0551646,-0.00235,0.008538,0.0376324,-0.0389258,0.0016562,-0.0187034,0.0310404,-0.0173406,0.0315686,0.049297,0.005763,0.0024324,-0.006335,0.039744,0.0507604,0.014418,-0.022086,-0.0977008,0.0070412
WHG:Baltic_LTU_Meso,0.134311,0.108662,0.181395,0.1 86695,0.136949,0.061077,0.010575,0.034383,0.071174 ,-0.007472,-0.013153,-0.016935,0.029286,0.000138,0.039495,0.060063,0.005 215,0.001267,-0.00352,0.048523,0.072248,0.013231,-0.036235,-0.136525,0.012574
WHG:NOR_Meso,0.1257745,0.0766725,0.1551855,0.19089 4,0.0475475,0.0631685,-0.0024675,0.0038075,0.0193275,-0.051755,0.009987,-0.016635,0.02438,-0.0319285,0.0215115,0.0374565,-0.001956,0.0046875,-0.009867,0.026513,0.022398,0.0172495,-0.00721,-0.057779,0.003293
WHG:SWE_Meso,0.1331727,0.0937673,0.1669387,0.18712 57,0.084426,0.0605193,0.00329,0.012384,0.0395413,-0.043433,-0.0018403,-0.0187833,0.0286917,-0.0156893,0.0352873,0.039998,-0.0018253,0.001436,-0.0061593,0.0451467,0.0465843,0.017064,-0.020911,-0.0959977,0.00467
WHG:UKR_Meso,0.1231564,0.0820548,0.1424008,0.18960 2,0.0454236,0.0528776,-9.4e-05,0.0047996,0.016812,-0.0585344,0.0086066,-0.017924,0.0319918,-0.020203,0.023751,0.0341814,0.005111,-0.0016468,-0.0044496,0.029139,0.0266528,0.0108072,-0.003254,-0.046368,0.0019878
WHG:ROU_Meso,0.134311,0.110693,0.168573,0.168284,0 .089863,0.064145,0.01081,0.015922,0.046427,-0.033714,0.002598,-0.019633,0.025272,-0.003991,0.026465,0.023866,-0.00665,0.006334,-0.008673,0.035392,0.052158,0.01014,-0.013434,-0.090133,0.012095

WHG:RUS_Karelia_HG,0.1236877,0.0321583,0.129855,0. 2101663,-0.010361,0.0571723,-0.0196627,-0.0234603,-0.002659,-0.0860153,0.0182957,-0.0184337,0.0333497,-0.039085,0.018865,0.0295237,-0.0148203,0.0031673,-0.0044413,0.012506,-0.007487,0.0169817,0.0093667,-0.021007,-0.0103383
WHG:RUS_Samara_HG,0.119514,0.048745,0.113513,0.206 398,-0.008001,0.054384,-0.013161,-0.023537,-0.01309,-0.090936,0.01429,-0.018883,0.026164,-0.03647,0.020629,0.012994,-0.005867,-0.000507,-0.00729,0.009004,-0.011854,0.025102,0.009737,-0.02651,-0.009101
WHG:RUS_Sidelkino_HG,0.118376,0.039606,0.133501,0. 195739,0.001846,0.054105,-0.019271,-0.018922,-0.0045,-0.071437,0.010068,-0.012139,0.030475,-0.043351,0.027008,0.02201,-0.002738,-0.003927,-0.008547,0.019509,-0.003868,0.011623,0.005546,-0.022413,-0.001796

W_Asian:Levant_PPNC,0.067156,0.168578,-0.023004,-0.150842,0.028621,-0.071954,-0.013866,-0.017999,0.077719,0.037905,0.006496,-0.013188,0.032705,-0.000275,-0.014929,0.008486,-0.000913,-0.007728,-0.013575,0.012381,-0.009982,0.01014,0.002958,0.003012,-0.001916
W_Asian:BedouinB,0.041925,0.1439232,-0.0598156,-0.1169808,-0.0093179,-0.0480622,-0.0141008,-0.0087432,0.05154,-0.0052038,0.0158689,-0.0305729,0.0629496,0.004855,0.0043959,0.0288529,-0.0199706,0.00366,-0.0040153,0.029,0.0109668,0.0152299,-0.0039166,0.0071025,-0.0083092
W_Asian:IRN_Hajji_Firuz_C,0.0896355,0.1327805,-0.0780642,-0.0667802,-0.0437002,-0.0196618,0.0098702,-0.0065768,-0.035178,-0.0030977,0.0051965,-0.0013113,-0.0006317,-0.0019613,-0.0046145,0.0036128,0.00088,0.0022802,0.0032995,-0.0063468,0.0045232,-0.0033388,-0.00835,-0.0118992,0.0006588
W_Asian:IRN_Wezmeh_N,0.037562,0.072103,-0.165556,-0.016473,-0.11756,0.01506,0.017861,-0.003231,-0.071583,-0.046835,0.003085,-0.003147,0.00669,0.000688,0.022122,0.053036,-0.011735,0.001014,0.014581,-0.035267,0.009358,-0.023741,-0.006655,-0.032896,0.019998
W_Asian:Kura-Araxes_ARM_Kaps,0.1013025,0.133034,-0.07071,-0.043605,-0.0498555,-0.0092035,0.008108,-0.011653,-0.066368,-0.01631,0.0030855,0.011015,-0.019846,0.005849,0.0042075,-0.0102095,-0.0001305,-0.003927,-0.001697,0.0032515,0.003494,-0.000247,-0.0036975,-0.0090975,-0.0030535

Steppe:Yamnaya_RUS_Samara,0.1255849,0.089028,0.042 6986,0.1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537

Berber:MAR_Taforalt,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
Berber:MAR_EN,-0.1735805,0.0919055,-0.0258325,-0.083657,0.0283125,-0.0596825,-0.079316,0.021461,0.1500185,0.0043735,0.0222475,-0.0264515,0.075148,-0.0461725,0.069353,-0.03381,0.0171455,-0.05549,-0.1487635,0.0340785,-0.038245,-0.118212,0.0826995,-0.009941,0.021615
Berber:Canary_Islands_Guanche,-0.0393828,0.1314096,-0.0023384,-0.0687344,0.0337292,-0.0363672,-0.0299874,0.008261,0.0708878,0.0305428,0.0075674,-0.0059948,0.0182554,-0.0176982,0.0232082,-0.0130468,0.0031814,-0.019206,-0.044321,0.010405,-0.0134762,-0.0377142,0.0232692,-0.0011806,0.0046224
Berber:Iberia_Central_CA_Afr,-0.05122,0.140143,-0.002263,-0.091086,0.0397,-0.047133,-0.036192,0.007384,0.091013,0.044283,0.012179,-0.000899,0.006987,-0.018029,0.020087,-0.016309,0.000652,-0.016596,-0.033561,0.003001,-0.011729,-0.018548,0.013064,-0.009399,0.005987
Berber:ITA_Sardinia_C_o,-0.086506,0.136081,-0.012068,-0.097869,0.035083,-0.041834,-0.039717,0.003461,0.109011,0.035718,0.008282,-0.010341,0.027205,-0.018441,0.024294,-0.030761,-0.014473,-0.032939,-0.058324,0.012506,-0.013351,-0.045628,0.024526,-0.008676,0.00467

African:Mbuti,-0.647426,0.0591038,0.0254932,0.0374034,-0.001108,0.0066378,0.3663348,-0.293434,0.0177118,0.02985,-0.0089316,0.2198242,0.1264506,0.0010182,0.010342,-0.0014052,0.0009386,-0.0518664,0.014229,0.003727,0.0061144,-0.0018548,-0.0043878,0.0025304,-0.0006944
African:Yoruba,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0 .0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561, 0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
African:ZAF_2000BP,-0.641583,0.0558543,0.0258957,0.034884,0.001231,-0.0030677,0.2680687,-0.2072223,0.0104307,0.0153683,0.008715,-0.0659913,-0.0216053,0.0064223,0.023751,-0.0201537,0.034204,0.294593,-0.09574,0.0060447,-0.033857,-0.0039157,0.003163,-0.0029323,-0.000399
African:TZA_Luxmanda_3100BP,-0.303908,0.087336,-0.022627,-0.066861,0.005539,-0.035419,0.00141,-0.018692,0.111465,-0.075992,-0.006333,-0.005395,0.001635,0.001789,0.022122,-0.012198,0.020731,0.013682,0.000754,-0.004877,0.003244,-0.001978,-0.006655,0.00494,0.001078
African:CMR_Shum_Laka_8000BP,-0.602693,0.055346,0.0148965,0.0263245,-0.0064625,0.00502,0.1243205,-0.099919,0.0138055,-0.007016,-0.00065,-0.0242785,-0.0203665,-0.0052295,0.0021035,-0.00179,0.0127125,0.017356,-0.0011945,-0.0040645,-0.003494,-0.000371,0.0016025,-0.0009035,-0.0020955
Africaninka,-0.577083,0.0507765,-0.0003773,-0.0075098,-0.0053855,-0.0016735,-0.0176848,0.0204222,0.081145,-0.0969495,-0.02107,0.022742,-0.0383172,-0.0011698,0.0101452,-0.021347,0.0186125,-0.0094382,0.0241968,-0.0241678,0.002402,0.003308,0.001479,0.0009038,0.0 096995

East_Eurasian:NPL_Chokhopani_2700BP,0.012521,-0.410274,-0.011691,-0.031331,0.017542,0.011435,0.00658,0.011999,0.0100 22,0.021139,-0.081194,-0.006444,0.010109,-0.004679,-0.011401,0,0.011213,-0.001267,-0.009302,0.009379,0.004991,0.029306,0.004314,0.003 615,0.031734
East_Eurasian:RUS_Shamanka_N,0.0309599,-0.4147422,0.0950344,-0.0157947,-0.0868469,-0.0482203,0.0053815,0.010061,0.0147054,0.0125196,-0.0160603,-0.0018134,0.0035828,-0.0078032,-0.0046552,-0.0032088,-0.0025164,0.0005827,0.0064608,0.0178333,-0.0170449,-0.0059478,-0.0165151,-0.0032051,0.0046943
East_Eurasian:Nganassan,0.0476917,-0.4066181,0.1557885,0.0023902,-0.1594452,-0.0882129,0.0285066,0.0433367,0.0310876,0.0128477, 0.1028569,0.0094115,-0.0040734,-0.0261619,-0.0219731,-0.0123307,-0.0010952,0.0134165,0.0268365,-0.0008505,0.0431363,-0.0118954,0.0336096,0.0003977,0.0135556
East_Eurasian:Even,0.0421147,-0.4319387,0.1399117,-0.015827,-0.138795,-0.0819007,0.0287493,0.036691,0.0328603,0.0261203,0 .0556993,0.007843,-0.0146187,0.0089913,-0.0159697,-0.011049,0.0022597,0.0133867,0.0288267,0.0127147,0 .050411,-0.045298,0.0072717,0.0127327,0.0190403
East_Eurasian:Evenk,0.0409763,-0.421783,0.1272153,-0.0185187,-0.1392053,-0.0880367,0.0288277,0.041229,0.0226337,0.0232047,0 .0638727,0.0085423,-0.013677,0.016744,0.0012667,0.0009723,-0.00226,0.00663,0.0125697,-0.007087,0.030654,-0.010799,0.015488,0.0096397,0.0043507
East_Eurasian:TON_2500BP,0.009675,-0.415859,-0.0499685,-0.0499035,0.1481815,0.061495,0.00047,-0.0080765,-0.0243385,-0.017039,0.0531825,0.0086925,-0.004683,-0.0128675,0.0129615,0.006099,-0.0083445,0.0033575,0.012947,-0.0086295,0.0023705,-0.024854,-0.0077645,-0.013255,-0.0644255
East_Eurasian:VUT_2900BP_all,0.0087267,-0.4211063,-0.0467627,-0.0628773,0.145668,0.0595897,-0.0067367,-0.017307,-0.0191573,-0.0241163,0.0579187,0.0049457,-0.007532,0.006514,0.0184127,0.0109607,-0.00565,0.0032517,0.010601,-0.0117553,0.0045337,-0.0247717,-0.0013967,-0.0151023,-0.062629

For Italians you can remove East Eurasian and African, they always are at "noise" levels(I mean African is definitely real and has a pattern but is still very small), those are the results I get:

[Vid Flumina]

For Italians you can remove East Eurasian and African, they always are at "noise" levels(I mean African is definitely real and has a pattern but is still very small), those are the results I get:

Wouldn't Berber capture it anyway? African admixture in Europe is generally mediated by Afro-Asiatic speakers from North Africa/Arabia

[Vid Flumina]

Target: VFlumina_scaled
Distance: 3.0018% / 0.03001793
55.0 ENF
38.4 Steppe
5.6 WHG
1.0 W_Asian

Large chunk of Pinarbasi_HG is eating some WHG, otherwise nothing unusual

[SharpFork]

Wouldn't Berber capture it anyway? African admixture in Europe is generally mediated by Afro-Asiatic speakers from North Africa/Arabia

When you use Berber samples from Sardinia and Iberia(immigrants that don't seem admixed at all), Guanches and earlier mostly Iberomaurusian people you end up with North Africans having around 10% Subsaharan DNA, even when modelling using modern Bedouin samples and Copper Age Levantines.

They definitely have recent SSA admixture through the slave trade and surprisingly not that little, so some of it spilling into Sicily is not unexpected, but it's still under 1%.

[SharpFork]

Target: VFlumina_scaled
Distance: 3.0018% / 0.03001793
55.0 ENF
38.4 Steppe
5.6 WHG
1.0 W_Asian

Large chunk of Pinarbasi_HG is eating some WHG, otherwise nothing unusual

I don't think it is, if I remove it the average of all results stays the same, if anything maybe all my ENF samples outside Anatolia are eating some WHG but it's really minor(but I guess 1-3% is a lot when talking about WHG admixture in Italians...), I made sure everything was >95% Anatolia Barcin N, I added those to improve fit by including drift, but maybe it wasn't so necessary, try using only the Anatolian Neolithic sample.

BTW where are you from?

[Samnium]

Southern Italian 23andme results, I can add other (there are many others results on Reddit)

Calabrian and apulian results

Apulians :

Spoiler!

4/4 Apulian
Italian 55%
Greek and Balkan 6.8%
Spanish and Portuguese 0.9%
Broadly Southern European !5.4%
Scandinavian 0.5%
Broadly Northwestern European 0.9%
Eastern European 0.6%
Broadly European 1.7%
Anatolian 4.6%
Cypriot 4.2%
Broadly Northern West Asian 2.9%
Levantine 0.3%
Broadly Arab, Egyptian & Levantine 0.9%
Broadly Western Asian & North African 4.3%
Unassigned 1%

4/4 Apulian
Italian 49.3%
Greek & Balkan 10.3%
Spanish & Portuguese 2.8%
Broadly Southern European 11.1%
French & German 4.8%
Broadly Northwestern European 0.4%
Eastern European 1.0%
Ashkenazi Jewish 0.1%
Broadly European 1.0%
Anatolian 3.0%
Cypriot 2.1%
Broadly Northern West Asian 2.9%
Levantine 1.2%
Broadly Arab, Egyptian & Levantine 3.5%
Broadly Western Asian & North African 4.8%
East Asian 0.1%
Cenral and South Asian 0.1%
Sub-Saharan 0.1%
Unassigned 1.5%

4/4 Apulian
Italian54.3%
Greek & Balkan 6.5%
Spanish & Portuguese 0.5%
Sardinian 0.3%
Broadly Southern European 19.3%
Northwestern European 1.0%
French & German 0.9%
Eastern European 0.6%
Broadly European 5.5%
Anatolian 5.5%
Broadly Northern West Asian 3.9%
Broadly Western Asian & North African1.3%
Sub-Saharan 0.1%
Unassigned 1.4%

Cosentians :

Spoiler!

1/2 Abruzzo 1/2 Cosenza Calabria
Italian 49.2%
Greek & Balkan 20.3%
Spanish & Portuguese 1.7%
Broadly Southern European 10.0%
British & Irish 0.2%
Broadly Northwestern European 0.1%
Broadly European 0.6%
Anatolian 2.5%
Cypriot 2.5%
Broadly Northern West Asian 4.0%
Arab, Egyptian & Levantine 1.0%
Broadly Arab, Egyptian & Levantine 1.0%
North African 0.1%
Broadly Western Asian & North African 6.0%
East Asian 0.1%
Unassigned 1.8%

Other Calabrian provinces :

Spoiler!

4/4 Calabrian (unknow location but likely from Reggio/Vibo/Catanzaro)
Italian 60.0%
Greek & Balkan 0.9%
Spanish & Portuguese 0.6%
Broadly Southern European 7.7%
Broadly European 0.6%
Anatolian 4.2%
Iranian, Caucasian & Mesopotamian 3.9%
Cypriot 0.2%
Broadly Northern West Asian 10.1%
Arab, Egyptian & Levantine 2.7%
Egyptian 1.4%
Broadly Arab, Egyptian & Levantine 1.3%
North African 0.6%
Broadly Western Asian & North African 6.6%
West African 0.1%
Broadly West African 0.1%
Broadly Central & South Asian 0.1%
(Reggio Calabria)
(Catanzaro)

[Rocinante]

Target: Italian_Abruzzo
Distance: 0.9745% / 0.00974532
46.0 Early_European_Farmer:HUN_Koros_N
28.6 Steppe_Pastoralist:Yamnaya_RUS_Samara
15.0 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
7.0 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
3.0 Satsurblia_Cluster:GEO_CHG
0.4 Western_Hunter_Gatherer:ITA_Villabruna

Target: Italian_Aosta_Valley
Distance: 1.4786% / 0.01478631
47.2 Early_European_Farmer:HUN_Koros_N
43.6 Steppe_Pastoralist:Yamnaya_RUS_Samara
5.0 Western_Hunter_Gatherer:ITA_Villabruna
3.8 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
0.4 Iberomaurusian:MAR_Taforalt

Target: Italian_Apulia
Distance: 1.1555% / 0.01155501
46.8 Early_European_Farmer:HUN_Koros_N
25.2 Steppe_Pastoralist:Yamnaya_RUS_Samara
15.6 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
7.0 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
5.4 Satsurblia_Cluster:GEO_CHG

Target: Italian_Basilicata
Distance: 0.9674% / 0.00967410
46.6 Early_European_Farmer:HUN_Koros_N
25.0 Steppe_Pastoralist:Yamnaya_RUS_Samara
15.0 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
7.4 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
5.2 Satsurblia_Cluster:GEO_CHG
0.8 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an

Target: Italian_Bergamo
Distance: 1.6038% / 0.01603807
58.2 Early_European_Farmer:HUN_Koros_N
36.2 Steppe_Pastoralist:Yamnaya_RUS_Samara
3.8 Western_Hunter_Gatherer:ITA_Villabruna
1.0 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an
0.4 Iberomaurusian:MAR_Taforalt
0.2 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
0.2 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N

Target: Italian_Calabria
Distance: 1.1755% / 0.01175527
47.2 Early_European_Farmer:HUN_Koros_N
22.4 Steppe_Pastoralist:Yamnaya_RUS_Samara
15.2 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
7.4 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
6.4 Satsurblia_Cluster:GEO_CHG
1.4 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an

Target: Italian_Campania
Distance: 0.9248% / 0.00924762
44.4 Early_European_Farmer:HUN_Koros_N
24.6 Steppe_Pastoralist:Yamnaya_RUS_Samara
18.4 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
8.4 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
4.2 Satsurblia_Cluster:GEO_CHG

Target: Italian_Lazio
Distance: 1.0896% / 0.01089634
47.0 Early_European_Farmer:HUN_Koros_N
29.0 Steppe_Pastoralist:Yamnaya_RUS_Samara
14.2 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
7.8 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
2.0 Western_Hunter_Gatherer:ITA_Villabruna

Target: Italian_Liguria
Distance: 2.2072% / 0.02207237
52.6 Early_European_Farmer:HUN_Koros_N
33.6 Steppe_Pastoralist:Yamnaya_RUS_Samara
3.8 Western_Hunter_Gatherer:ITA_Villabruna
3.8 Satsurblia_Cluster:GEO_CHG
3.6 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
1.4 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an
1.2 Iberomaurusian:MAR_Taforalt

Target: Italian_Lombardy
Distance: 2.0221% / 0.02022122
57.2 Early_European_Farmer:HUN_Koros_N
36.6 Steppe_Pastoralist:Yamnaya_RUS_Samara
3.2 Western_Hunter_Gatherer:ITA_Villabruna
2.0 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
1.0 Iberomaurusian:MAR_Taforalt

Target: Italian_Marche
Distance: 1.3005% / 0.01300489
46.6 Early_European_Farmer:HUN_Koros_N
31.6 Steppe_Pastoralist:Yamnaya_RUS_Samara
13.6 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
3.6 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
3.2 Satsurblia_Cluster:GEO_CHG
1.4 Western_Hunter_Gatherer:ITA_Villabruna

Target: Italian_Molise
Distance: 1.1317% / 0.01131699
49.6 Early_European_Farmer:HUN_Koros_N
28.4 Steppe_Pastoralist:Yamnaya_RUS_Samara
10.6 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
6.8 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
3.6 Satsurblia_Cluster:GEO_CHG
1.0 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an

Target: Italian_Northeast
Distance: 1.3551% / 0.01355140
52.0 Early_European_Farmer:HUN_Koros_N
41.0 Steppe_Pastoralist:Yamnaya_RUS_Samara
3.8 Western_Hunter_Gatherer:ITA_Villabruna
2.2 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
1.0 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an

Target: Italian_Piedmont
Distance: 1.3031% / 0.01303096
52.2 Early_European_Farmer:HUN_Koros_N
36.8 Steppe_Pastoralist:Yamnaya_RUS_Samara
6.4 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
2.8 Western_Hunter_Gatherer:ITA_Villabruna
1.4 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
0.2 Iberomaurusian:MAR_Taforalt
0.2 Satsurblia_Cluster:GEO_CHG

Target: Italian_Trentino-Alto-Adige
Distance: 1.3968% / 0.01396845
54.8 Early_European_Farmer:HUN_Koros_N
37.6 Steppe_Pastoralist:Yamnaya_RUS_Samara
5.2 Western_Hunter_Gatherer:ITA_Villabruna
1.2 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
1.2 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an

Target: Italian_Tuscany
Distance: 1.0787% / 0.01078707
51.2 Early_European_Farmer:HUN_Koros_N
34.2 Steppe_Pastoralist:Yamnaya_RUS_Samara
8.0 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
2.4 Western_Hunter_Gatherer:ITA_Villabruna
2.4 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
1.6 Satsurblia_Cluster:GEO_CHG
0.2 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an

Target: Italian_Umbria
Distance: 0.9175% / 0.00917538
50.6 Early_European_Farmer:HUN_Koros_N
31.2 Steppe_Pastoralist:Yamnaya_RUS_Samara
9.0 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
4.4 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
2.6 Satsurblia_Cluster:GEO_CHG
1.4 Western_Hunter_Gatherer:ITA_Villabruna
0.8 Iberomaurusian:MAR_Taforalt

Target: Italian_Veneto
Distance: 1.2075% / 0.01207462
53.2 Early_European_Farmer:HUN_Koros_N
38.2 Steppe_Pastoralist:Yamnaya_RUS_Samara
4.8 Western_Hunter_Gatherer:ITA_Villabruna
3.8 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC

Target: Sardinian
Distance: 2.1235% / 0.02123492
80.6 Early_European_Farmer:HUN_Koros_N
10.4 Western_Hunter_Gatherer:ITA_Villabruna
3.4 Iberomaurusian:MAR_Taforalt
3.4 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
1.2 Steppe_Pastoralist:Yamnaya_RUS_Samara
1.0 Ancient_Siberia:RUS_Tyumen_HG

Target: Sicilian_East
Distance: 1.5820% / 0.01582009
45.2 Early_European_Farmer:HUN_Koros_N
23.6 Steppe_Pastoralist:Yamnaya_RUS_Samara
17.0 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
6.2 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
5.8 Satsurblia_Cluster:GEO_CHG
1.8 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an
0.4 Western_Hunter_Gatherer:ITA_Villabruna

Target: Sicilian_West
Distance: 1.5223% / 0.01522296
42.8 Early_European_Farmer:HUN_Koros_N
23.0 Steppe_Pastoralist:Yamnaya_RUS_Samara
17.2 Pre-Pottery_Neolithic_B_Levant:Levant_PPNC
8.2 Iran_Pastoral_Neolithic:IRN_Ganj_Dareh_N
3.2 Western_Hunter_Gatherer:ITA_Villabruna
3.2 Satsurblia_Cluster:GEO_CHG
1.8 Africa_Pastoral_Neolithic:KEN_Pastoral_N_Elmenteit an
0.6 Iberomaurusian:MAR_Taforalt

[Vid Flumina]

I don't think it is, if I remove it the average of all results stays the same, if anything maybe all my ENF samples outside Anatolia are eating some WHG but it's really minor(but I guess 1-3% is a lot when talking about WHG admixture in Italians...), I made sure everything was >95% Anatolia Barcin N, I added those to improve fit by including drift, but maybe it wasn't so necessary, try using only the Anatolian Neolithic sample.

BTW where are you from?

I must be the only one scoring it in significant amounts then, if I remove it WHG goes back up:

Target: VFlumina_scaled
Distance: 3.1328% / 0.03132803
53.6 ENF
38.2 Steppe
8.0 WHG
0.2 East_Eurasian


I'm mostly from SW Piedmont and Eastern Veneto