I had also run the LM K36 ancestral report last year.
At that time the pie chart was not present to depict the admixture, but only the nearest populations, nor the map with Euclidean values. In any case, the results have always seemed to me to be correct and rather reliable: only some doubts about the reporting of Liguria as my first reference population. Since I don't see nearby Ligurian ancestors in my genealogy, the hypothesis I had then advanced is that in my autosomal some important component attributable to the ancient
Friniates, a people who lived in the high plains and the Tuscan-Emilian Apennines, is somehow encrypted. They lived mainly in the most internal areas of the provinces of Reggio Emilia, Modena, Pistoia. After the wars and defeats against the Romans in the second century BC if I remember correctly, many of them were deported to various areas, including the plain.
I suppose that for this same reason many of the ancient Samples that attribute to me Mytrueancestry (often ancient and medieval Iberians) are similar to this ancient Ligurian (or Celto-Ligurian) population.
I. Population admixture section
nMonte3 provides you with frequencies related to your recent ancestry, and works best for individiuals of a non-mixed background. It is also very adept at detecting
subtle regional differences.
"1. CLOSEST SINGLE ITEM DISTANCE%"
IT_Liguria IT_Emilia-Romagna IT_Tuscany IT_Lombardia IT_Marche IT_Veneto IT_Lazio IT_Trentino
7.106611 7.557949 7.761048 7.848771 9.142833 9.526429 9.949162 10.21612
"2. FULL TABLE nMONTE" (estimated percentages)
"distance%=5.9514"
IT_Liguria,33.4
IT_Lombardia,22.8
IT_Tuscany,8.4
IT_Ladinia,6.6
IT_Marche,5.6
IT_Lazio,4.6
IT_Veneto,3.4
Sauris_Friuli,3
Cimbri_Lessina,1.8
IT_Campania,1.8
Sicily_Agrigento,1.4
Sicily_Palermo,1.2
IT_Abruzzo,0.8
IT_Apulia,0.8
Sicily_Trapani,0.8
FR_Basque,0.4
IT_Calabria,0.4
Sicily_Caltanisetta,0.4
Sicily_Messina,0.4
FR_South-West,0.2
IT_Friuli,0.2
Sudetenland,0.2
TUN_Bizerta,0.2
TUN_Sousse,0.2
Admix4 oracle (two methods, one of them is more speculative) - all references
Least-squares method.
Using 1 population approximation:
1 IT_Liguria @ 7,121338
2 IT_Emilia-Romagna @ 7,491729
3 IT_Tuscany @ 7,763512
4 IT_Lombardia @ 7,863361
5 IT_Marche @ 9,14301
6 IT_Veneto @ 9,523406
7 IT_Lazio @ 9,950118
8 IT_Trentino @ 10,149658
9 IT_Ladinia @ 10,345232
10 IT_Friuli @ 10,571764
488 iterations.
Using 2 populations approximation:
1 Islas_Baleares+GR_Ipeiros @ 6,453777
2 Islas_Baleares+GR_Thessaly @ 6,461241
3 IT_Lazio+IT_Ladinia @ 6,527824
4 Islas_Baleares+GR_Eubea @ 6,573916
5 IT_Lazio+IT_Veneto @ 6,576719
6 IT_Tuscany+IT_Ladinia @ 6,645734
7 Islas_Baleares+South_Albania @ 6,65631
8 Swiss_Italian+GR_Eubea @ 6,665912
9 IT_Lombardia+GR_Eubea @ 6,770862
10 Swiss_Italian+IT_Abruzzo @ 6,795091
119316 iterations.
Using 3 populations approximation:
1 50% IT_Tuscany +25% Islas_Baleares +25% GR_Eubea @ 5,553853
2 50% GR_Eubea +25% IT_Tuscany +25% Islas_Baleares @ 5,651431
3 50% IT_Tuscany +25% Islas_Baleares +25% GR_Ipeiros @ 5,756701
4 50% IT_Tuscany +25% Islas_Baleares +25% GR_Thessaly @ 5,777034
5 50% IT_Lombardia +25% Islas_Baleares +25% GR_Kalymnos @ 5,778835
6 50% GR_Eubea +25% IT_Lombardia +25% Islas_Baleares @ 5,780175
7 50% IT_Liguria +25% IT_Ladinia +25% GR_Ipeiros @ 5,803042
8 50% GR_Thessaly +25% IT_Tuscany +25% Asturia @ 5,81989
9 50% IT_Lombardia +25% Islas_Baleares +25% GR_Chios @ 5,836639
10 50% IT_Liguria +25% IT_Lombardia +25% GR_Eubea @ 5,839799
42048280 iterations.
Using 4 populations approximation:
1 IT_Lombardia+Islas_Baleares+GR_Ipeiros+GR_Eubea @ 5,489679
2 IT_Lombardia+IT_Abruzzo+Islas_Baleares+GR_Ipeiros @ 5,493085
3 IT_Tuscany+Islas_Baleares+GR_Ipeiros+GR_Eubea @ 5,512265
4 IT_Tuscany+IT_Tuscany+Islas_Baleares+GR_Eubea @ 5,553853
5 IT_Tuscany+Asturia+GR_Thessaly+GR_Ipeiros @ 5,590509
6 IT_Marche+IT_Lombardia+Islas_Baleares+GR_Ipeiros @ 5,593941
7 IT_Tuscany+Asturia+GR_Ipeiros+GR_Eubea @ 5,595645
8 IT_Lazio+IT_Lombardia+Islas_Baleares+GR_Ipeiros @ 5,604482
9 IT_Lombardia+Sicily_Palermo+Islas_Baleares+GR_Ipeiros @ 5,625995
10 IT_Lombardia+Sicily_Agrigento+Islas_Baleares+GR_Ipeiros @ 5,62766
11 IT_Tuscany+Asturia+GR_Thessaly+GR_Eubea @ 5,632124
12 IT_Tuscany+Islas_Baleares+GR_Eubea+North_Albania @ 5,635396
13 IT_Tuscany+Islas_Baleares+GR_Eubea+Kosovo @ 5,638068
14 IT_Lombardia+Sicily_Trapani+Islas_Baleares+GR_Ipeiros @ 5,645465
15 IT_Tuscany+Islas_Baleares+GR_Eubea+GR_Eubea @ 5,651431
16 IT_Marche+IT_Tuscany+Islas_Baleares+GR_Eubea @ 5,659674
17 IT_Lombardia+IT_Campania+Islas_Baleares+GR_Ipeiros @ 5,66311
18 Swiss_Italian+IT_Campania+Islas_Baleares+GR_Ipeiros @ 5,669031
19 IT_Liguria+Islas_Baleares+GR_Ipeiros+GR_Eubea @ 5,67655
20 IT_Lombardia+Asturia+GR_Thessaly+GR_Ipeiros @ 5,680977
705705132 iterations.
Gaussian method.
Noise dispersion set to 0,130062
Using 1 population approximation:
1 IT_Tuscany @ 3,309671
2 IT_Liguria @ 3,38394
3 IT_Emilia-Romagna @ 3,508637
4 IT_Lombardia @ 3,754212
5 North_Albania @ 4,253021
6 IT_Abruzzo @ 4,335293
7 IT_Piemonte @ 4,434349
8 South_Albania @ 4,581939
9 IT_Friuli @ 4,648283
10 IT_Ladinia @ 4,669176
488 iterations.
Using 2 populations approximation:
1 IT_Lombardia+IT_Abruzzo @ 3,096748
2 IT_Tuscany+IT_Lombardia @ 3,113639
3 IT_Lazio+IT_Lombardia @ 3,116062
4 IT_Lazio+Swiss_Italian @ 3,139034
5 IT_Tuscany+IT_Emilia-Romagna @ 3,195713
6 IT_Tuscany+IT_Liguria @ 3,232746
7 IT_Lombardia+IT_Liguria @ 3,250675
8 Swiss_Italian+IT_Abruzzo @ 3,273168
9 IT_Lazio+IT_Emilia-Romagna @ 3,300874
10 IT_Tuscany+IT_Tuscany @ 3,309671
119316 iterations.
Using 3 populations approximation:
1 50% IT_Lombardia +25% IT_Lombardia +25% GR_Kalymnos @ 2,841519
2 50% IT_Lombardia +25% IT_Lazio +25% GR_Ipeiros @ 2,861518
3 50% IT_Lombardia +25% IT_Lazio +25% GR_Thrace @ 2,870897
4 50% IT_Lombardia +25% Swiss_Italian +25% GR_Kalymnos @ 2,888782
5 50% IT_Lombardia +25% IT_Emilia-Romagna +25% GR_Kalymnos @ 2,942705
6 50% IT_Lombardia +25% IT_Tuscany +25% GR_Thrace @ 2,947302
7 50% IT_Lombardia +25% FR_Corsica +25% GR_Thrace @ 2,947811
8 50% Swiss_Italian +25% IT_Lazio +25% GR_Thrace @ 2,94874
9 50% IT_Lombardia +25% IT_Lombardia +25% GR_Chios @ 2,950766
10 50% IT_Lombardia +25% IT_Tuscany +25% GR_Kalymnos @ 2,952012
II. Plots / dendrogram section
MDS (with minimum spanning tree)
Dendrogram (relevant part)
K36 Correlation Map (with the first 100 populations)
1 IT_Liguria 0,97144
2 IT_Tuscany 0,96844
3 IT_Emilia-Romagna 0,96786
4 IT_Lombardia 0,96586
5 IT_Marche 0,94934
6 IT_Lazio 0,94592
7 IT_Veneto 0,94202
8 Swiss_Italian 0,93606
9 FR_Corsica 0,93552
10 IT_Trentino 0,93455
11 IT_Ladinia 0,93124
12 IT_Friuli 0,92907
13 IT_Piemonte 0,92764
14 GR_Eubea 0,91439
15 North_Albania 0,91356
16 Kosovo 0,91226
17 Ipeiros 0,90729
18 IT_Abruzzo 0,90699
19 IT_Aosta 0,90698
20 South_Albania 0,90439
21 Dutch_Ashkenazy 0,90147
22 Albanians Montenegro 0,89705
23 GR_Thessaly 0,89566
24 Albanians_FYROM0,89023
25 Islas Baleares 0,88605
26 GR_Peloponese 0,87333
27 Sicily_Trapani 0,85991
28 IT_Apulia 0,85933
29 GR_Macedonia1 0,85814
30 GR_Thessaloniki 0,8578
31 Cataluna 0,85462
32 IT_Campania 0,85449
33 FR_Central 0,84844
34 GR_Central 0,84807
35 Portugal 0,84553
36 Sicily_Palermo 0,84173
37 ES_Galicia 0,83785
38 Sicily_Agrigento 0,83592
39 GR_Vlach 0,83539
40 FR_South0,83521
41 Macedonia_FYROM 0,83014
42 Sicily_Caltanisetta 0,82388
43 Canarias0,82387
44 Sicily_Ragusa 0,82283
45 GR_Andros 0,82092
46 Comunidad Valenciana 0,82079
47 Montenegro 0,8185
48 Malta 0,81659
49 GR_Kythira 0,81655
50 FR_Swiss 0,81549
51 IT_Calabria 0,81529
52 Principado de Asturias 0,81487
53 Sicily_Katania 0,81008
54 Sephardi_Portugal(Belmonte) 0,80905
55 Thrace 0,80845
56 Castilla y León 0,80778
57 Castilla-La Mancha 0,80778
58 Bulgaria 0,80592
59 Spanish_mixed 0,80193
60 GR_Cyclades 0,80068
61 Sicily_Messina 0,79839
62 FR_mixed 0,78965
63 Andalusia 0,78635
64 GR_Kalymnos 0,78627
65 Poland_Ashkenazy 0,78494
66 Swiss_German 0,78383
67 Romanian_Jew 0,78186
68 South_Romania 0,78026
69 Tirol 0,77822
70 GR_Chios 0,77181
71 South-East_Romania 0,77143
72 France_Ashkenazy 0,77098
73 Belarus_Ashkenazy 0,7664
74 Sephardi_Bulgaria0,76286
75 Extremadura 0,76198
76 German_Ashkenazy 0,76052
77 GR_Crete 0,75239
78 Latvia_Ashkenazy 0,75045
79 GR_Ikaria 0,74849
80 IT_Bolzano 0,74734
81 Italian_Jew 0,74702
82 Baden-Württemberg 0,74525
83 Serbia 0,74496
84 Cantabria 0,7379
85 Aragón 0,73624
86 North-West_Romania 0,73532
87 GR_Dodecanese 0,72207
88 Rheinland-Pfalz 0,72119
89 FR_North-East 0,70936
90 Saarland0,70847
91 Western Serbians 1 0,70219
92 Western Serbians 2 0,70219
93 North-East_Romania 0,6914
94 IT_Sardinia 0,68719
95 AustroHungarian_Ashkenazy 0,68653
96 La Rioja 0,68476
97 Moroccan_Jew 0,68311
98 Walloons0,68116
99 South-West_Romania 0,67902
100 Sephardi_Turkey 0,66679