New regional Polish G25 averages

Large sample sizes, although not genealogically confirmed (they are samples from hospitals):

Code:

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Polish_Bydgoszcz_(n=70),0.13312423,0.12985724,0.072606457,0.061051614,0.041840729,0.0241559,0.0088295571,0.0115215,-0.00080348571,-0.018369371,-0.0028348429,-0.0062815429,0.011310943,0.018494486,-0.0058825,0.00088071429,0.0016521714,-0.000029014286,0.0020398571,0.0015524857,-0.0029644143,-0.0027751857,0.0055444143,-0.0022084714,-0.00015738571
Polish_Krakow_(n=141),0.13204285,0.12922433,0.068531624,0.058378241,0.040308596,0.022327071,0.0088602482,0.011179539,0.00022338298,-0.018160298,-0.0025037801,-0.0065346099,0.012660418,0.020415979,-0.0088381844,-0.001302383,0.00099587234,-0.00003412766,0.0035284681,0.00095343262,-0.0040575816,-0.0029808014,0.0061982057,-0.0024287518,-0.00031507801
Polish_Warsaw_(n=185),0.13288384,0.12860444,0.071915886,0.06220107,0.041321519,0.024337351,0.0089797622,0.011752497,-0.00036150811,-0.020423276,-0.0029536865,-0.0069926811,0.01379893,0.02023133,-0.0087403838,0.00021214595,0.0026971946,-0.00016711351,0.0029263676,0.0010930919,-0.0036091838,-0.0033192649,0.006075773,-0.0028209081,-0.00035471892

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Quote:

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Originally Posted by Peterski

Large sample sizes, although not genealogically confirmed:

Code:

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Polish_Bydgoszcz_(n=70),0.13312423,0.12985724,0.072606457,0.061051614,0.041840729,0.0241559,0.0088295571,0.0115215,-0.00080348571,-0.018369371,-0.0028348429,-0.0062815429,0.011310943,0.018494486,-0.0058825,0.00088071429,0.0016521714,-0.000029014286,0.0020398571,0.0015524857,-0.0029644143,-0.0027751857,0.0055444143,-0.0022084714,-0.00015738571
Polish_Krakow_(n=141),0.13204285,0.12922433,0.068531624,0.058378241,0.040308596,0.022327071,0.0088602482,0.011179539,0.00022338298,-0.018160298,-0.0025037801,-0.0065346099,0.012660418,0.020415979,-0.0088381844,-0.001302383,0.00099587234,-0.00003412766,0.0035284681,0.00095343262,-0.0040575816,-0.0029808014,0.0061982057,-0.0024287518,-0.00031507801
Polish_Warsaw_(n=185),0.13288384,0.12860444,0.071915886,0.06220107,0.041321519,0.024337351,0.0089797622,0.011752497,-0.00036150811,-0.020423276,-0.0029536865,-0.0069926811,0.01379893,0.02023133,-0.0087403838,0.00021214595,0.0026971946,-0.00016711351,0.0029263676,0.0010930919,-0.0036091838,-0.0033192649,0.006075773,-0.0028209081,-0.00035471892

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Distance to: Repent:RealG25_scaled
0.03385017 Polish_Krakow_(n=141)
0.03710939 Polish_Warsaw_(n=185)
0.03824404 Polish_Bydgoszcz_(n=70)

Target: Repent:RealG25_scaled
Distance: 3.3850% / 0.03385017
100.0 Polish_Krakow_(n=141)

It's nice that you have Warsaw, but Bydgoszcz is in my first place, and Aneta Krakow.


Target: MariuszKorycinski_scaled
Distance: 2.1367% / 0.02136684
84.6 Polish_Bydgoszcz_(n=70)
15.4 Polish_Warsaw_(n=185)


With German average:

Target: MariuszKorycinski_scaled
Distance: 2.1297% / 0.02129729
51.6 Polish_Warsaw_(n=185)
43.2 Polish_Bydgoszcz_(n=70)
5.2 German_(n=111)

Without Bydgoszcz too high:

Target: MariuszKorycinski_scaled
Distance: 2.1341% / 0.02134102
91.2 Polish_Warsaw_(n=185)
8.8 German_(n=111)

Quote:

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Originally Posted by Peterski

Large sample sizes, although not genealogically confirmed (they are samples from hospitals):

Code:

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Polish_Bydgoszcz_(n=70),0.13312423,0.12985724,0.072606457,0.061051614,0.041840729,0.0241559,0.0088295571,0.0115215,-0.00080348571,-0.018369371,-0.0028348429,-0.0062815429,0.011310943,0.018494486,-0.0058825,0.00088071429,0.0016521714,-0.000029014286,0.0020398571,0.0015524857,-0.0029644143,-0.0027751857,0.0055444143,-0.0022084714,-0.00015738571
Polish_Krakow_(n=141),0.13204285,0.12922433,0.068531624,0.058378241,0.040308596,0.022327071,0.0088602482,0.011179539,0.00022338298,-0.018160298,-0.0025037801,-0.0065346099,0.012660418,0.020415979,-0.0088381844,-0.001302383,0.00099587234,-0.00003412766,0.0035284681,0.00095343262,-0.0040575816,-0.0029808014,0.0061982057,-0.0024287518,-0.00031507801
Polish_Warsaw_(n=185),0.13288384,0.12860444,0.071915886,0.06220107,0.041321519,0.024337351,0.0089797622,0.011752497,-0.00036150811,-0.020423276,-0.0029536865,-0.0069926811,0.01379893,0.02023133,-0.0087403838,0.00021214595,0.0026971946,-0.00016711351,0.0029263676,0.0010930919,-0.0036091838,-0.0033192649,0.006075773,-0.0028209081,-0.00035471892

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Great!

In the North Europe PCA they all plot well in the middle of my collected Poles and in relation to each other the differences are in line with geography.

Code:

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Spanish,0.1121471,0.1463662,0.0411427,-0.0014012,0.0450959,-0.002383,-0.0022952,0.0017524,0.0245581,0.0326751,-0.0032997,0.0075664,-0.0151753,-0.0129319,0.0104484,-0.0002432,-0.0037976,-0.0005869,-0.0032627,-0.0010107,0.0032148,-0.0015914,-0.0022732,-0.0026931,0.0009409

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Target: gixajo_scaled
Distance: 10.4527% / 0.10452724
100.0 Polish_Krakow_(n=141)

Target: gixajo_scaled
Distance: 1.8285% / 0.01828533
95.0 Spanish
5.0 Polish_Bydgoszcz_(n=70)

Distance to: me_scaled
0.02651543 Polish_Silesia_(n=2)
0.03015366 Polish_(n=60)
0.03042056 Polish_Wielkopolska_(n=11)
0.03076509 Polish_Krakow_(n=141)
0.03079554 Ukrainian_Lviv_(n=11)
0.03099292 Polish_Bydgoszcz_(n=70)
0.03142612 Polish_Warsaw_(n=185)
0.03815196 Polish_Mazovia_(n=2)
0.04778318 German_Bavaria_Middle_Franconia_Erlangen_(n=64)
0.05039607 German_(n=111)

Distance to: Gannicus_MergedFile_officialDavidski_scaled
0.07783955 Polish_Bydgoszcz_(n=70)
0.07906451 Polish_Krakow_(n=141)
0.08227448 Polish_Warsaw_(n=185)

Distance to: CDG_scaled
0.06125898 Polish_Bydgoszcz_(n=70)
0.06271764 Polish_Krakow_(n=141)
0.06579566 Polish_Warsaw_(n=185)

Target: CDG_scaled
Distance: 6.1259% / 0.06125898
100.0 Polish_Bydgoszcz_(n=70)

3 models (1 ms):
0.061 CDG_scaled = 100% Polish_Bydgoszcz_(n=70) + 0% Polish_Krakow_(n=141)
0.061 CDG_scaled = 100% Polish_Bydgoszcz_(n=70) + 0% Polish_Warsaw_(n=185)
0.063 CDG_scaled = 100% Polish_Krakow_(n=141) + 0% Polish_Warsaw_(n=185)

Quote:

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Originally Posted by gixajo

Code:

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Spanish,0.1121471,0.1463662,0.0411427,-0.0014012,0.0450959,-0.002383,-0.0022952,0.0017524,0.0245581,0.0326751,-0.0032997,0.0075664,-0.0151753,-0.0129319,0.0104484,-0.0002432,-0.0037976,-0.0005869,-0.0032627,-0.0010107,0.0032148,-0.0015914,-0.0022732,-0.0026931,0.0009409

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Target: gixajo_scaled
Distance: 10.4527% / 0.10452724
100.0 Polish_Krakow_(n=141)

Target: gixajo_scaled
Distance: 1.8285% / 0.01828533
95.0 Spanish
5.0 Polish_Bydgoszcz_(n=70)

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Distance to: CDG_scaled
0.06125898 Polish_Bydgoszcz_(n=70)
0.06271764 Polish_Krakow_(n=141)
0.06579566 Polish_Warsaw_(n=185)
0.08045916 Spanish

Target: CDG_scaled
Distance: 4.3986% / 0.04398636
61.2 Polish_Bydgoszcz_(n=70)
38.8 Spanish

6 models (0 ms):
0.044 CDG_scaled = 61% Polish_Bydgoszcz_(n=70) + 39% Spanish
0.046 CDG_scaled = 58% Polish_Warsaw_(n=185) + 42% Spanish
0.046 CDG_scaled = 61% Polish_Krakow_(n=141) + 39% Spanish
0.061 CDG_scaled = 100% Polish_Bydgoszcz_(n=70) + 0% Polish_Krakow_(n=141)
0.061 CDG_scaled = 100% Polish_Bydgoszcz_(n=70) + 0% Polish_Warsaw_(n=185)
0.063 CDG_scaled = 100% Polish_Krakow_(n=141) + 0% Polish_Warsaw_(n=185)

Target: cass
Distance: 1.9400% / 0.01940024
63.0 Polish_Bydgoszcz_(n=70)
37.0 Polish_Krakow_(n=141)

There is still a lack of regional diversity.

Quote:

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+
Kartuzy:Kreft,0.132734,0.131128,0.070177,0.058407, 0.041785,0.022612,0.007263,0.010110,0.001037,-0.013570,-0.004887,-0.003808,0.006287,0.014768,0.001174,0.003221,-0.000600,0.000360,0.004860,0.003053,-0.000887,-0.003681,0.005965,0.002933,0.001258

Kartuzy:Marszalkowski,0.132433,0.128848,0.069111,0 .053322,0.042364,0.020630,0.007232,0.009456,0.0039 08,-0.008362,-0.004420,-0.003937,0.004028,0.015101,-0.000287,0.002999,0.000018,0.000438,0.003465,0.002 254,-0.000343,-0.003815,0.003745,0.002859,0.001427

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Target: cass
Distance: 0.9655% / 0.00965538
94.8 Kartuzy
5.2 Polish_Krakow_(n=141)

Distance to: cass
0.01053557 Kartuzy:Marszalkowski
0.01103789 Kartuzy:Kreft
0.01959838 Polish_Bydgoszcz_(n=70)
0.01996482 Polish_Krakow_(n=141)
0.02330580 Polish_Warsaw_(n=185)