German GEDmatch results

**Peterski** · 01-25-2022, 02:07 PM

Yes there were huge numbers of Huguenot immigrants in Prussia. I'm surprised if e.g. Rothaer doesn't know this.

Berlin was once 1/3 French (Huguenot) city:

https://www.familysearch.org/wiki/en...erlin,_Germany

"By 1700 approximately 6,000 French Huguenots had settled in Berlin which was approximately one-third of the population at that time."

**rothaer** · 01-25-2022, 02:28 PM

Originally Posted by Leto

(...)

PM

**rothaer** · 01-25-2022, 02:33 PM

Originally Posted by Piotraschke

Yes there were huge numbers of Huguenot immigrants in Prussia. I'm surprised if e.g. Rothaer doesn't know this. (...)

Why do you think that I might not know?

**Smitty** · 01-26-2022, 05:01 AM

3/8 Stolp, 1/8 West Prussia, 1/2 West Hinterpommern

Code:

Kit HX4915903

Admix Results (sorted):

#	Population	Percent
1	North_Atlantic	38.73
2	Baltic	37.38
3	West_Med	9.36
4	East_Med	8.35
5	South_Asian	2.73
6	West_Asian	2.46
7	Siberian	0.7
8	Northeast_African	0.15
9	Oceanian	0.14

Single Population Sharing:

#	Population (source)	Distance
1	East_German	7.75
2	North_Swedish	8.83
3	South_Polish	9.31
4	Austrian	9.51
5	Hungarian	9.51
6	Southwest_Finnish	9.7
7	Polish	11.46
8	Ukrainian	12.06
9	Ukrainian_Lviv	12.16
10	Swedish	12.23
11	Croatian	12.31
12	North_German	12.8
13	Belorussian	14.01
14	Finnish	14.29
15	Russian_Smolensk	14.43
16	Estonian_Polish	14.59
17	Danish	14.6
18	Norwegian	14.88
19	Southwest_Russian	14.94
20	Estonian	15

Mixed Mode Population Sharing:

#	 	Primary Population (source)	Secondary Population (source)	Distance
1	 	55.3%	Belorussian	+	44.7%	Southeast_English	@	3.81
2	 	54.3%	Estonian_Polish	+	45.7%	Southeast_English	@	4.21
3	 	51.1%	Belorussian	+	48.9%	Danish	@	4.38
4	 	53.5%	Belorussian	+	46.5%	South_Dutch	@	4.47
5	 	50%	Estonian_Polish	+	50%	Danish	@	4.49
6	 	52.3%	Belorussian	+	47.7%	West_German	@	4.56
7	 	52.6%	North_German	+	47.4%	Belorussian	@	4.58
8	 	53.7%	Southwest_Russian	+	46.3%	Southeast_English	@	4.6
9	 	50.6%	Danish	+	49.4%	Southwest_Russian	@	4.69
10	 	58.7%	Belorussian	+	41.3%	Southwest_English	@	4.7
11	 	55.5%	Belorussian	+	44.5%	Orcadian	@	4.71
12	 	53.7%	North_German	+	46.3%	Estonian_Polish	@	4.75
13	 	63.3%	South_Polish	+	36.7%	Danish	@	4.76
14	 	50.4%	Estonian	+	49.6%	West_German	@	4.76
15	 	54.6%	Russian_Smolensk	+	45.4%	Southeast_English	@	4.78
16	 	52.4%	Belorussian	+	47.6%	North_Dutch	@	4.8
17	 	50.7%	Austrian	+	49.3%	Southwest_Finnish	@	4.83
18	 	54.8%	West_German	+	45.2%	Lithuanian	@	4.89
19	 	51.3%	Estonian_Polish	+	48.7%	North_Dutch	@	4.92
20	 	58.3%	East_German	+	41.7%	Southwest_Finnish	@	4.93

And the West Hinterpommern mother:

Code:

Kit AF6731544

Admix Results (sorted):

#	Population	Percent
1	North_Atlantic	42.86
2	Baltic	31.55
3	West_Med	13.75
4	East_Med	7.3
5	South_Asian	2.12
6	West_Asian	1.32
7	Oceanian	0.69
8	Siberian	0.4
9	Northeast_African	0.02

Single Population Sharing:

#	Population (source)	Distance
1	East_German	6.61
2	Austrian	7.58
3	North_German	8.41
4	Swedish	9
5	Danish	9.58
6	West_German	9.6
7	North_Swedish	9.66
8	South_Dutch	9.69
9	North_Dutch	10.03
10	Southeast_English	10.5
11	Norwegian	10.53
12	Hungarian	11.02
13	Orcadian	11.12
14	Irish	12.6
15	Southwest_English	12.7
16	West_Scottish	13.15
17	French	14.38
18	Southwest_Finnish	14.67
19	South_Polish	15.06
20	Croatian	15.52

Mixed Mode Population Sharing:

#	 	Primary Population (source)	Secondary Population (source)	Distance
1	 	67.9%	Southeast_English	+	32.1%	Estonian_Polish	@	3.76
2	 	67.6%	Southeast_English	+	32.4%	Belorussian	@	3.86
3	 	63.8%	Southeast_English	+	36.2%	Ukrainian	@	4.01
4	 	60%	Southeast_English	+	40%	South_Polish	@	4.06
5	 	72.7%	North_Swedish	+	27.3%	Spanish_Valencia	@	4.16
6	 	63.7%	Southeast_English	+	36.3%	Polish	@	4.17
7	 	68.7%	Southeast_English	+	31.3%	Southwest_Russian	@	4.22
8	 	68%	Southeast_English	+	32%	Russian_Smolensk	@	4.23
9	 	84.9%	North_Swedish	+	15.1%	Sardinian	@	4.36
10	 	70.7%	North_Swedish	+	29.3%	Spanish_Cataluna	@	4.42
11	 	50.5%	French	+	49.5%	Southwest_Finnish	@	4.46
12	 	71.8%	Southeast_English	+	28.2%	Lithuanian	@	4.46
13	 	63.8%	Southeast_English	+	36.2%	Ukrainian_Lviv	@	4.49
14	 	70.6%	South_Dutch	+	29.4%	Estonian	@	4.5
15	 	71.8%	North_Swedish	+	28.2%	Portuguese	@	4.57
16	 	74.8%	North_Swedish	+	25.2%	North_Italian	@	4.59
17	 	59.7%	Southwest_Finnish	+	40.3%	Spanish_Cataluna	@	4.59
18	 	62%	South_Dutch	+	38%	Southwest_Finnish	@	4.62
19	 	71.5%	North_Swedish	+	28.5%	Spanish_Galicia	@	4.65
20	 	75.2%	North_Swedish	+	24.8%	Spanish_Andalucia	@	4.67

**Ajeje Brazorf** · 01-28-2022, 02:52 PM

https://anthrogenica.com/showthread....458#post829458

Originally Posted by altvred

Looks good. Maybe try adding these German samples and see where they plot?

Code:

German_Erlangen:GSM1658598,0.129758,0.133034,0.062979,0.049096,0.038776,0.015897,0.00799,0.006231,0.011453,-0.00492,-0.00406,0.001948,-0.001189,0.007707,0.00285,-0.005701,-0.0103,0.004434,0.001634,0.007379,-0.003119,0.001607,0.001356,0.00976,-0.000958
German_Erlangen:GSM1658599,0.135449,0.150298,0.051288,0.033269,0.045547,0.00753,0.00141,-0.001846,0.007976,0.003098,-0.00682,0.005845,-0.000297,-0.005505,0.007193,0.003182,-0.000391,0.000887,0.005782,-0.000125,-0.004118,0.002597,-0.002588,0.008796,0.000718
German_Erlangen:GSM1658600,0.134311,0.133034,0.056945,0.044251,0.048317,0.013387,0.008695,0.010615,0.002454,-0.006743,-0.008282,-0.005245,-0.006095,0.000826,0.007872,0.007823,0.004303,-0.003674,0.004777,0.002501,0.003619,0.002473,0.002342,0.007832,0.002754
German_Erlangen:GSM1658601,0.126344,0.13405,0.059962,0.038114,0.032006,0.015339,0.00705,0.006923,0.005727,-0.012392,-0.00341,-0.004496,-0.001338,0.002615,-0.001357,0.012861,0.020079,0.00114,0.002514,0.005628,-0.003494,-0.007666,-0.003944,0.00494,0.000359
German_Erlangen:GSM1658602,0.127482,0.137096,0.055437,0.025194,0.038161,0.014502,0.008225,0.003923,0.005113,0.002369,0.003735,0.007194,-0.003122,-0.007156,0.005157,0.012861,-0.00339,-0.000633,0.00176,0.000625,0.002246,0.006554,0.006286,-0.000843,0.002275
German_Erlangen:GSM1658603,0.134311,0.140143,0.052797,0.034884,0.035391,0.010319,0.00188,-0.000692,0.004295,0.008201,-0.005359,0.014237,-0.007879,-0.001239,0.011265,-0.004641,-0.006519,-0.003294,0.004399,-0.007629,-0.004243,0.003957,-0.008011,0.006025,-0.004311
German_Erlangen:GSM1658604,0.130897,0.136081,0.058454,0.036176,0.036314,0.009761,0.00282,0.006,-0.001636,0.000911,-0.005034,-0.003147,-0.001189,0.00055,-0.003393,-0.003713,-0.012517,-0.003801,0.005279,0.006128,-0.000499,-0.006183,0.003821,0,0.003832
German_Erlangen:GSM1658605,0.129758,0.137096,0.049403,0.031008,0.043085,0.015618,0.002115,0.005307,0.004704,0.006014,0.001461,0.004946,-0.003568,-0.005643,0.006379,0.001591,-0.000652,0.002787,0.004399,0.005378,0.003868,0.008779,-0.003697,0.006989,-0.003712
German_Erlangen:GSM1658606,0.134311,0.136081,0.053551,0.035853,0.040623,0.009203,0.00141,0.00923,0.011044,0.006925,0.00065,0.001349,-0.001338,0.005643,-0.000136,-0.009414,-0.014342,0.005321,-0.001006,-0.003627,-0.008984,-0.003957,0.00493,0.007471,-0.002515
German_Erlangen:GSM1658607,0.124067,0.136081,0.056945,0.041667,0.029852,0.014223,0.012926,0.003231,0.00225,0.002551,-0.000325,0.004646,-0.005203,-0.005505,0.019001,0.000928,-0.011865,0.005321,-0.001131,-0.007504,0.002745,0.001113,-0.002095,0.009278,-0.007065
German_Erlangen:GSM1658609,0.121791,0.13405,0.055437,0.034884,0.0397,0.022032,0.008225,0.008538,0.001841,-0.011663,-0.005521,0.005395,-0.000446,0.01445,0.004072,-0.005569,-0.00691,-0.000253,-0.000251,-0.007629,-0.00287,0.004822,0.009613,0.00482,0.007544
German_Erlangen:GSM1658610,0.12862,0.136081,0.063733,0.055233,0.044316,0.019243,0.00094,0.000923,0.006545,-0.003098,-0.006171,-0.004946,-0.002081,0.00234,0.000543,0.001989,0.005476,0.007981,0.005531,0.01038,0.004492,0.002968,-0.000123,0.006748,-0.007784
German_Erlangen:GSM1658611,0.124067,0.142174,0.052797,0.034561,0.035083,0.004741,0.002585,0.002077,0.008795,0.000729,0.00065,0.011989,-0.009514,-0.001789,0.006379,0.003182,-0.004824,0.004561,0.005908,0.003126,0.005366,0.000371,-0.00419,0.012291,0.001796
German_Erlangen:GSM1658612,0.135449,0.132019,0.057699,0.0323,0.044008,0.018128,0.00141,0.004384,0.000818,-0.00492,-0.00682,0.008093,-0.007582,-0.002477,0.002714,0.004243,0.002999,-0.002027,0.009427,0.001,-0.006364,0.000371,0.000123,0.011809,0.00491
German_Erlangen:GSM1658613,0.12862,0.14319,0.05242,0.031008,0.035083,-0.001116,0.000705,0.001846,0.005522,0.006378,-0.003248,0.00015,-0.006838,0.006881,0.001221,0.005171,-0.004955,0.001267,0.008799,0.00963,-0.002995,-0.009769,0.002465,0.008796,-0.001557
German_Erlangen:GSM1658614,0.126344,0.137096,0.054305,0.03553,0.032621,0.013945,0.00846,0.002769,0.002454,-0.001093,-0.007632,-0.001049,-0.006987,0.00234,0.010043,0.001591,0.009388,-0.00228,0.000377,-0.001626,-0.003993,0.00643,0.002465,0.011447,0.001437
German_Erlangen:GSM1658615,0.12862,0.132019,0.061094,0.042313,0.0397,0.016455,0.003525,0.006231,0.009613,-0.007836,-0.001786,-0.002698,0.002379,0.015138,-0.0019,-0.006099,-0.012778,0.004941,0.001006,-0.003001,-0.00287,-0.002473,0.006902,0.001807,0.003952
German_Erlangen:GSM1658616,0.130897,0.140143,0.050911,0.041667,0.030467,0.022032,0.00564,0.011076,0.001432,-0.00328,0.001949,0.002997,-0.00773,-0.00055,0.004072,0.005569,-0.002477,0.000253,-0.00352,-0.002251,-0.00025,0.006677,0.002711,0.002048,-0.001557
German_Erlangen:GSM1658617,0.121791,0.144205,0.049403,0.030039,0.044931,0.01004,0.00094,0.005077,0.011658,0.015126,-0.006333,0.005245,-0.00446,-0.003165,0.009772,0.017237,0.011995,0.002787,0.004148,0.004377,-0.000873,0.004822,-0.000986,0.008555,-0.001557
German_Erlangen:GSM1658618,0.124067,0.131003,0.063733,0.040375,0.0437,0.021196,0.010105,0.005769,0.000614,-0.004191,-0.00065,0.007943,-0.003568,-0.002752,0.005836,0.001724,-0.000652,0.006081,0.01081,-0.001501,0.000499,0.000618,-0.00037,0.008194,-0.005389
German_Erlangen:GSM1658620,0.127482,0.138112,0.062602,0.035207,0.041854,0.012829,-0.000705,0.006923,0.010431,-0.002734,-0.007307,-0.001199,0.000297,0.001927,0.001629,-0.001989,-0.009648,0.004434,-0.00088,0.007253,-0.000749,0.005688,0.001356,0.014339,0.002634
German_Erlangen:GSM1658621,0.121791,0.128972,0.058831,0.045866,0.043393,0.025379,0.00752,-0.001154,0.010431,-0.009476,-0.004547,-0.007044,-0.004311,0.004817,-0.00475,0.011535,-0.002868,-0.000633,0.004651,0.000125,0.002496,0.008656,0.00949,0.005543,-0.002155
German_Erlangen:GSM1658622,0.137726,0.14319,0.059585,0.042959,0.0397,0.019243,0.005405,0.011999,0.008385,-0.000364,-0.008444,0.001199,0.001933,0.007019,0.000271,0.007292,0.002477,0.003801,-0.003142,-0.009505,-0.004742,0.001978,0.000493,0.000602,0.008502
German_Erlangen:GSM1658623,0.126344,0.141159,0.063733,0.043928,0.042777,0.009761,0.00329,0.003461,0.003477,-0.002005,0.000162,-0.003447,0.005054,0.006193,0.00095,-0.007823,-0.003129,-0.0019,0.004525,0.000125,-0.002121,-0.000247,0.010599,-0.001446,0.00012
German_Erlangen:GSM1658625,0.124067,0.128972,0.051666,0.031008,0.034776,0.011713,-0.00094,-0.000462,-0.002863,-0.005103,-0.008282,0.003897,-0.006095,-0.015001,0.011265,0.01432,0.024903,0.00266,-0.001006,0.003377,0.009109,0.004204,0.009367,0.013134,-0.001557
German_Erlangen:GSM1658626,0.127482,0.142174,0.054305,0.034561,0.039392,0.005299,0.00282,0.005077,0.007772,0.006014,-0.000325,0.006894,-0.006244,-0.001101,-0.001764,0.001061,-0.001173,-0.000253,0.005279,-0.002751,-0.003743,0.001113,0.001232,0.009399,-0.005029
German_Erlangen:GSM1658627,0.130897,0.137096,0.059208,0.032946,0.041854,0.009482,-0.001175,0.009,0.000409,0.002551,-0.00341,0.003897,-0.003717,0.003991,-0.000271,-0.013392,-0.01695,0.006081,0.007793,-0.008254,-0.002371,-0.001484,0.000246,0.005904,0
German_Erlangen:GSM1658628,0.126344,0.13405,0.043746,0.02907,0.037545,0.01506,0.003525,0.008307,-0.002863,0.002916,-0.002598,-0.000749,-0.007879,-0.002202,0.011943,0.002387,0.004172,-0.000507,0.000251,-0.001876,0.00287,0.003339,0.006286,0.011327,0.001557
German_Erlangen:GSM1658631,0.126344,0.140143,0.04714,0.029393,0.036622,0.015618,-0.003995,0.003231,-0.005931,0.001093,-0.00682,0.001349,-0.005203,0.004542,-0.001221,0.003978,-0.011995,0.008868,0.006536,-0.008004,0.003868,-0.005812,-0.000863,0.000241,-0.000239
German_Erlangen:GSM1658632,0.12862,0.128972,0.058454,0.048127,0.035699,0.020638,0.008695,0.006461,0.004909,-0.005285,0.002923,-0.003897,0.000149,0.005643,0.005429,-0.010077,-0.008996,0.004181,0.006536,-0.008254,-0.005989,0.002226,0.008874,0.004458,0.005987
German_Erlangen:GSM1658633,0.133173,0.139128,0.054305,0.037791,0.030467,0.017012,0.000235,0.006692,0.005727,0.000547,-0.000974,-0.002548,-0.001041,0.00289,0.008007,-0.006497,-0.018906,0.006714,0.002891,-0.003877,0.001497,0.003833,-0.003944,0.011809,-0.00012
German_Erlangen:GSM1658634,0.130897,0.13405,0.057699,0.042959,0.033545,0.021753,-0.004465,0.002538,0.001841,-0.006196,0.003573,-0.001649,0.001933,0.009083,-0.0057,0.001856,0.008345,-0.003801,0.003771,0.003752,0.002121,-0.005317,-0.006162,-0.006868,-0.000479
German_Erlangen:GSM1658635,0.120652,0.137096,0.047894,0.033592,0.037545,0.009203,0.003055,0.005538,0.014726,0.006743,-0.009256,0.005095,-0.005352,-0.007019,0.006107,0.017369,0.006389,0.00076,0.001131,0.003126,0.001747,-0.004946,0.000493,0.01458,0.001557
German_Erlangen:GSM1658636,0.120652,0.133034,0.053928,0.035207,0.035699,0.01255,0.003995,0.004154,0.001023,-0.001458,-0.000812,0.004646,-0.006987,0.010046,0.013572,0.003315,-0.000782,0.004307,0.003394,0.006503,-0.000125,-0.002844,0.0053,0.009158,-0.003952
German_Erlangen:GSM1658637,0.125205,0.139128,0.058077,0.031977,0.054779,0.011435,0.004465,-0.002769,0.007772,0.015308,-0.011854,0.007943,-0.016947,-0.002615,0.011265,-0.005436,-0.022165,-0.00114,-0.005028,0.002376,0.007612,0.003833,0.004437,-0.000602,0
German_Erlangen:GSM1658638,0.130897,0.141159,0.053174,0.034238,0.043393,0.012829,0.004935,0.003923,-0.002863,0.006196,0,-0.001349,-0.006541,-0.00234,-0.004072,0.019358,0.020731,0.00038,0.004651,0.003252,0,0.007666,0.00037,0.010724,-0.001557
German_Erlangen:GSM1658639,0.129758,0.135065,0.065242,0.041667,0.040931,0.022032,0.011045,0.005769,0.010022,-0.002734,-0.002598,0.007343,-0.013231,-0.004266,0.007872,0.006497,-0.001043,-0.00228,0.000126,0.002751,0.010482,0.000742,-0.00037,0.014098,0.000359
German_Erlangen:GSM1658640,0.130897,0.138112,0.056191,0.040375,0.032006,0.02008,0.00376,0.003,0.001227,-0.002551,-0.00406,0.004196,-0.006392,0.010046,0.008007,-0.013524,-0.018254,-0.003041,-0.00264,-0.001501,-0.000873,0.001855,-0.000123,0.013375,-0.006706
German_Erlangen:GSM1658641,0.133173,0.141159,0.057699,0.033915,0.045547,0.015897,0.00564,0.001385,0.00409,0.005285,-0.008444,0.002098,-0.012487,-0.003165,0.008007,0.005171,0.016168,0.004181,0.00264,0.013256,0.002745,-0.000989,-0.002342,0.007109,-0.002515
German_Erlangen:GSM1658642,0.135449,0.131003,0.060716,0.044897,0.042777,0.014781,0.00094,0.010153,0.00859,-0.000729,-0.001624,0.006145,0.001784,-0.008945,0.008415,0.01843,0.01017,0.004434,0.004777,0.001626,0.004367,-0.003586,0.001356,0.007953,0.005508
German_Erlangen:GSM1658643,0.132035,0.129988,0.063733,0.040698,0.032929,0.017012,-0.00188,0.000462,0.010431,-0.005467,0.000162,0.002248,0.001784,-0.003991,0.012351,0.007558,0.009518,-0.002027,0.003771,0.001876,0.003868,-0.005935,-0.00912,0.009519,-0.002275
German_Erlangen:GSM1658644,0.129758,0.138112,0.049026,0.02907,0.034776,0.018965,0.006345,0.012923,0.011453,0.008018,-0.001949,0.002098,-0.013825,0.00055,0.019001,-0.002784,-0.028945,0.013809,0.00993,-0.005253,-0.001248,0.003339,-0.002342,0.008435,-0.000599
German_Erlangen:GSM1658645,0.125205,0.148267,0.063733,0.036176,0.038469,0.013108,0.00705,0.003461,0.007158,0.008747,0.001461,-0.007793,-0.004311,0.012661,0.000543,0.000663,0.003781,0.003801,0.008673,0.002251,-0.003119,-0.006677,-0.001356,-0.003012,0.001317
German_Erlangen:GSM1658646,0.133173,0.140143,0.052797,0.045543,0.038776,0.011713,0.003995,0.006923,0.003477,-0.002005,-0.00406,0.001649,-0.001933,0.001927,-0.00095,0.003447,-0.00339,-0.006588,-0.006285,-0.001126,0.005989,-0.001484,0.006779,0.01446,0.004071
German_Erlangen:GSM1658647,0.124067,0.135065,0.054305,0.026486,0.033237,0.014781,0.00235,-0.002769,-0.0045,-0.00328,0.000974,0.004496,0.000149,0.007844,0.007193,-0.012729,-0.014212,0.0019,-0.001257,-0.002126,-0.000624,0.005935,0.00037,0.013375,-0.003712
German_Erlangen:GSM1658648,0.12862,0.138112,0.061471,0.042313,0.044624,0.018128,0.0047,0.010153,0.004704,0.001093,-0.006496,0.004346,-0.004311,0.006468,0.010722,-0.001061,0.005737,0.002407,0.006536,0.010005,-0.003993,-0.002226,0.007765,0.009881,0.001197
German_Erlangen:GSM1658649,0.119514,0.136081,0.058831,0.030039,0.037545,0.013945,0.003995,0.004384,0.003681,0.006743,0.001461,0.004796,-0.003271,0.000826,0.013301,-0.002652,-0.018254,0.005068,-0.000503,0.008754,0.007986,0.000371,0.000616,0.014339,0.002155
German_Erlangen:GSM1658650,0.129758,0.139128,0.05242,0.032623,0.032929,0.010877,0.00705,0.009461,-0.001841,-0.002734,-0.002923,0.004046,-0.005946,0.003028,0.0019,0.012861,0.018123,-0.002787,0.003897,0.002251,-0.004492,-0.003586,0.005916,0.016749,-0.00012
German_Erlangen:GSM1658651,0.135449,0.139128,0.056945,0.032623,0.033852,0.021475,0.00235,-0.001385,0.001432,0.005285,0.001786,-0.001349,-0.006392,-0.003578,0.014794,-0.005171,-0.00678,0,-0.004148,0.004627,-0.004866,0.000742,-0.000863,0.00241,-0.004191
German_Erlangen:GSM1658652,0.129758,0.142174,0.057699,0.036176,0.044008,0.015618,0.002115,0.006231,0.007158,-0.000364,-0.002273,0.005695,-0.00446,-0.012111,-0.004614,0.014187,0.018775,0.002407,-0.001131,-0.002626,0.006613,0.011129,-0.002958,0.00253,-0.003832
German_Erlangen:GSM1658653,0.121791,0.139128,0.047517,0.034238,0.040007,0.012271,-0.001645,0.000692,-0.000818,-0.002551,-0.004547,-0.002548,-0.004014,0.006055,0.003122,-0.015911,-0.017211,-0.000633,0.007165,-0.006003,-0.004866,0.006059,0.001232,0.010845,0.001317
German_Erlangen:GSM1658654,0.125205,0.139128,0.053928,0.042959,0.043393,0.017012,0.009635,0.006692,0.006749,-0.000547,-0.001786,-0.006894,0.001635,0.010597,0.001221,0.000928,-0.009779,-0.002154,0.005531,0.002251,-0.000624,-0.001484,0.011832,0.009519,-0.002155
German_Erlangen:GSM1658655,0.132035,0.139128,0.060339,0.049096,0.046162,0.019522,0.003055,0.006231,0.005931,-0.003827,-0.005521,-0.002698,0.000892,-0.003028,-0.001764,0.0118,0.005085,-0.007475,0.002388,-0.002001,0.000374,-0.003091,-0.000493,0.008676,-0.001078
German_Erlangen:GSM1658656,0.127482,0.137096,0.051666,0.031977,0.038469,0.011713,0.00658,0.012461,0.009204,0.008565,-0.00406,0.004196,-0.010109,-0.003165,0.011672,-0.00053,-0.002217,0.008868,0.005782,-0.003877,-0.001622,0.012984,0.001232,0.007109,0.000359
German_Erlangen:GSM1658657,0.130897,0.138112,0.050911,0.046189,0.039084,0.019522,0.00047,0.006231,0.007976,-0.005832,-0.003085,0.004346,-0.004162,0.008808,0.007329,-0.008088,-0.013299,0.000507,0.001383,-0.004252,-0.009733,-0.001978,0.003821,0.003012,0.000718
German_Erlangen:GSM1658658,0.135449,0.138112,0.058077,0.031331,0.039392,0.016733,0.00611,0.011538,0.001636,0.000911,-0.000325,-0.002248,-0.009514,0.00867,0.0095,0.004906,-0.00013,0.004181,0.005154,0.005378,-0.00262,0.005812,0.005423,-0.001687,0.000838
German_Erlangen:GSM1658659,0.121791,0.137096,0.060339,0.044251,0.033237,0.015618,0.00376,0.010153,0.000818,-0.003098,-0.00682,0.001349,-0.001933,0.015964,-0.000814,-0.010209,-0.016037,0.00038,0.008045,0.001251,-0.008485,0.005193,0.007888,-0.004699,0.004431
German_Erlangen:GSM1658660,0.126344,0.141159,0.064488,0.041667,0.034468,0.023148,-0.00094,0.008769,0.004704,-0.000911,-0.011692,-0.001199,0.005352,0.00523,0.00285,0.007823,-0.00352,0.001394,0.011439,0.002876,-0.001497,0.008161,0.001356,-0.002289,-0.000239
German_Erlangen:GSM1658661,0.12862,0.135065,0.060339,0.053941,0.0437,0.026216,0.00094,0.003,-0.005931,-0.007654,-0.005846,0,0.001784,-0.001101,0.002172,0.014187,0.02021,0.003547,0.001508,0.006878,0.002371,0,0.004067,0.004217,-0.001078
German_Erlangen:GSM1658662,0.126344,0.13405,0.049403,0.028424,0.045855,0.011713,0.008225,0.005538,-0.001023,0.008018,0.000162,0.001349,-0.008474,-0.009496,0.00285,-0.004508,-0.015646,-0.003041,0.003771,-0.01038,-0.00574,0.003833,0.004683,0.009519,-0.001676
German_Erlangen:GSM1658663,0.12862,0.144205,0.043369,0.031977,0.028005,0.00502,0.00329,0.005769,0.00859,0.001458,-0.002761,-0.002548,-0.002825,0.000275,0.000136,-0.006762,-0.012647,0.008235,0.004148,-0.009505,0.001248,0.001484,-0.001602,0.005904,0.002395
German_Erlangen:GSM1658665,0.132035,0.131003,0.057322,0.041667,0.037853,0.013666,0.012691,0.001385,0.002454,0.003098,-0.001461,-0.001649,-0.006838,-0.00523,0.006515,0.011403,0.011735,-0.00114,-0.005656,0.004377,0.011854,0.006925,-0.002095,0.011929,-0.002874
German_Erlangen:GSM1658666,0.122929,0.142174,0.059208,0.024225,0.03416,0.005857,0.00658,0.005769,0.003272,0.009659,-0.007145,-0.001649,-0.012339,0.009358,0.007057,0.002254,-0.001304,0.011529,0.006159,-0.002751,0.00287,-0.003215,0.000246,0.005302,-0.000838
German_Erlangen:GSM1658667,0.129758,0.137096,0.042238,0.033592,0.028928,0.024821,0.007285,0.013846,-0.004295,-0.000364,0,0.005395,-0.009812,-0.00523,0.003529,-0.011403,-0.025816,0.008235,0.003017,0.001126,0.000749,0.007419,-0.002711,0.011206,-0.001437
German_Hamburg:GSM1031510,0.135449,0.141159,0.062602,0.051357,0.035391,0.025379,0.014571,0.008538,0.001227,-0.013668,-0.008607,0.002248,-0.007433,0.004954,0.016015,0.009812,-0.010691,-0.001014,-0.002514,-0.004502,0.004243,0.000495,0.003697,0.006627,-0.001796
German_Hamburg:GSM1031511,0.130897,0.129988,0.055437,0.040698,0.032621,0.010598,0.000235,0.012461,0.00409,-0.002916,-0.000162,-0.000749,-0.005946,-0.009083,0.007329,0.011535,0.015907,0.004434,0.00729,0.016633,-0.004243,0.002597,0.002835,0.009399,-0.002155
German_Hamburg:GSM1031512,0.118376,0.132019,0.056191,0.053295,0.045547,0.0251,0.007285,0.008077,0.000205,-0.000364,-0.001461,0.000599,-0.008771,-0.017203,0.025244,0.014717,0.006389,0.003421,0.006662,-0.002001,0.001248,0.007419,-0.0053,0.017352,-0.001916
German_Hamburg:GSM1031513,0.129758,0.135065,0.055437,0.049419,0.041854,0.01757,-0.002585,0.007154,0.0045,0.001458,-0.003897,0.003597,-0.002379,-0.004266,0.018729,-0.004641,-0.017863,0.007981,0.004022,-0.001,0.001747,0.001607,0.002095,0.009158,0.002994
German_Hamburg:GSM1031515,0.121791,0.140143,0.070144,0.044897,0.048009,0.013108,0.010105,0.014076,0.004295,0.002734,-0.011692,-0.004646,0,-0.012524,0.006107,0.006762,-0.001565,-0.000507,0.010182,0.003877,0.005116,0.009398,0.001725,-0.000843,0.000838
German_Hamburg:GSM1031516,0.122929,0.127957,0.060716,0.057494,0.040315,0.014781,0.011281,0.007846,-0.004295,-0.010934,-0.00341,-0.003897,0.006987,-0.001101,0.003936,0.017104,0.0103,0.003041,0,0.011506,0.001996,0.003833,0.000739,-0.004579,0.007424
German_Hamburg:GSM1031517,0.132035,0.135065,0.059208,0.041344,0.046162,0.016455,0.007755,0.002538,0.012067,-0.00656,-0.002111,0.004946,-0.001933,-0.002752,0.007193,0.023866,0.023469,0.004434,0.004022,-0.003252,-0.004991,0.005812,-0.000986,0.010965,-0.00479
German_Hamburg:GSM1031521,0.134311,0.142174,0.058454,0.044251,0.041546,0.01757,0.0094,0.006,0,0.006196,-0.00341,-0.002847,-0.013082,-0.000688,0.005972,-0.00716,-0.021644,-0.00038,0.002011,-0.005002,0.002371,0.001237,0.001356,0.014701,0.010538
German_Hamburg:GSM1031523,0.138864,0.136081,0.068636,0.04845,0.035699,0.022311,0.007755,0.008307,0.000614,-0.009112,-0.004384,0.002248,0.002825,0.016377,-0.000407,0.001061,0.001173,0.002914,0.003268,0.004877,0.004367,-0.001113,0.001725,0.00735,0.002036
German_Hamburg:GSM1031524,0.121791,0.132019,0.064865,0.060724,0.044008,0.018128,0.015276,0.011769,-0.003886,-0.002916,-0.001949,0.003147,0.005649,0.007432,0.019001,0.001326,-0.010952,0.004054,0.009804,0.003627,0.006489,0.006801,0.010353,0.013857,-0.000239
German_Hamburg:GSM1031525,0.121791,0.13405,0.065619,0.044897,0.0397,0.018407,0.015981,0.009,0.008795,0.001276,0.000974,-0.001948,-0.006987,-0.012248,0.011129,0.001326,0.000522,0.008488,0.008547,-0.003502,0.001622,-0.005564,0,0.005061,-0.011496
German_Hamburg:GSM1031526,0.122929,0.138112,0.063356,0.040375,0.045547,0.020638,0.00188,0.011999,0.000614,0.000182,-0.008607,0.003897,-0.002527,0.001376,0.016558,-0.013126,-0.018775,0.003041,0.011564,-0.002751,0.00287,0.005935,0.006162,0.006627,-0.005868
German_Hamburg:GSM1031527,0.12862,0.136081,0.077687,0.055233,0.040007,0.028168,0.011751,0.011769,0.00409,-0.005649,0.002598,-0.002098,0.004608,0.022295,0.0019,-0.007823,-0.018645,0.004181,-0.002765,-0.007754,0.002745,0.000989,0.01023,-0.000723,-0.012574
German_Hamburg:GSM1031529,0.125205,0.128972,0.062602,0.042313,0.042162,0.026495,0.00141,0.008077,0.007772,-0.001458,-0.005196,0.00015,-0.001189,-0.000826,0.016015,0.000133,-0.029336,-0.002914,0.011061,-0.000875,0.005241,-0.000495,-0.001849,0.004458,0.001916
German_Hamburg:GSM1031548,0.137726,0.131003,0.057322,0.046189,0.029544,0.025937,0.00846,0.006,0.008795,0.004009,-0.00682,-0.00045,-0.009068,-0.008395,0.014929,0.007558,-0.001304,0.002534,-0.004022,0.009129,0.009358,0.000495,0.00456,0.012773,0.001078

Spoiler!

We know where these Germans came from for a change, Hamburg, and Erlangen.

https://www.ncbi.nlm.nih.gov/geo/que...i?acc=GSE42056

https://www.ncbi.nlm.nih.gov/geo/que...i?acc=GSE67929

Averages

Code:

German_Erlangen,0.128460016,0.137429656,0.055837375,0.037256031,0.0386225,0.014898797,0.004050109,0.005293063,0.004240688,0.000361641,-0.003194484,0.001697656,-0.004253047,0.001462234,0.0048775,0.001700859,-0.002454828,0.001866688,0.003065859,0.000449375,-5.06719E-05,0.001464516,0.001606109,0.007013266,-0.000190922
German_Hamburg,0.1281648,0.1346592,0.062551733,0.0480624,0.0405408,0.020043,0.008037333,0.0089074,0.003258867,-0.0025148,-0.0038756,0.0002798,-0.0026164,-0.001110133,0.01131,0.004163333,-0.004867667,0.002913867,0.0046088,0.001267333,0.0026786,0.002629733,0.002489467,0.007478867,-0.000934

PCA

**rothaer** · 01-28-2022, 08:28 PM

Originally Posted by Ajeje Brazorf

https://anthrogenica.com/showthread....458#post829458

Averages

Code:

German_Erlangen,0.128460016,0.137429656,0.055837375,0.037256031,0.0386225,0.014898797,0.004050109,0.005293063,0.004240688,0.000361641,-0.003194484,0.001697656,-0.004253047,0.001462234,0.0048775,0.001700859,-0.002454828,0.001866688,0.003065859,0.000449375,-5.06719E-05,0.001464516,0.001606109,0.007013266,-0.000190922
German_Hamburg,0.1281648,0.1346592,0.062551733,0.0480624,0.0405408,0.020043,0.008037333,0.0089074,0.003258867,-0.0025148,-0.0038756,0.0002798,-0.0026164,-0.001110133,0.01131,0.004163333,-0.004867667,0.002913867,0.0046088,0.001267333,0.0026786,0.002629733,0.002489467,0.007478867,-0.000934

PCA

Thanks for that evaluation. Nice.

Do you happen to know from where are so many G25 coords for these people from Hamburg and Erlangen? And what exactly it does it mean to be from Hamburg and Erlangen, to reside there when tested? I can't find that "altvred" post. However, both groups plot meaningful on the North Europe PCA as for today German inhabitants of these two cities. Though it even seems a little bit "better" than just to be a German inhabitant, because then you would likely have more vice versa outliers.

**Ajeje Brazorf** · 01-28-2022, 10:05 PM

Originally Posted by rothaer

Thanks for that evaluation. Nice.

Do you happen to know from where are so many G25 coords for these people from Hamburg and Erlangen? And what exactly it does it mean to be from Hamburg and Erlangen, to reside there when tested? I can't find that "altvred" post. However, both groups plot meaningful on the North Europe PCA as for today German inhabitants of these two cities. Though it even seems a little bit "better" than just to be a German inhabitant, because then you would likely have more vice versa outliers.

Unfortunately, I don't know about any of those.

**Smitty** · 01-28-2022, 10:16 PM

6/8 Unterfranken, 1/8 Oberfranken, 1/8 Sachsen-Anhalt

Code:

Kit FZ8079164

Admix Results (sorted):

#	Population	Percent
1	North_Atlantic	37.06
2	Baltic	28.52
3	West_Med	11.61
4	West_Asian	10.82
5	East_Med	9.73
6	Siberian	1.04
7	Amerindian	0.85
8	Sub-Saharan	0.27
9	South_Asian	0.05
10	East_Asian	0.04

Single Population Sharing:

#	Population (source)	Distance
1	Austrian	4.91
2	Hungarian	5.96
3	East_German	6.74
4	West_German	8.97
5	South_Dutch	10.59
6	North_German	10.73
7	Serbian	11.15
8	Croatian	11.61
9	Moldavian	12.44
10	Danish	13.46
11	Swedish	13.59
12	North_Dutch	13.78
13	South_Polish	14.09
14	French	14.28
15	North_Swedish	14.39
16	Southeast_English	14.51
17	Romanian	14.61
18	Norwegian	14.8
19	Orcadian	15.22
20	Ukrainian_Lviv	15.49

Mixed Mode Population Sharing:

#	 	Primary Population (source)	Secondary Population (source)	Distance
1	 	56.6%	Swedish	+	43.4%	Bulgarian	@	3.09
2	 	51.9%	Swedish	+	48.1%	Romanian	@	3.12
3	 	91.6%	Austrian	+	8.4%	Tabassaran	@	3.26
4	 	91.9%	Austrian	+	8.1%	Lezgin	@	3.3
5	 	92.2%	Austrian	+	7.8%	Chechen	@	3.48
6	 	51.1%	North_German	+	48.9%	Serbian	@	3.48
7	 	50.3%	Romanian	+	49.7%	Norwegian	@	3.53
8	 	54.5%	Norwegian	+	45.5%	Bulgarian	@	3.53
9	 	58.3%	North_German	+	41.7%	Romanian	@	3.58
10	 	57.6%	Serbian	+	42.4%	Norwegian	@	3.59
11	 	63%	North_German	+	37%	Bulgarian	@	3.59
12	 	93.1%	Austrian	+	6.9%	North_Ossetian	@	3.59
13	 	92.5%	Austrian	+	7.5%	Kumyk	@	3.64
14	 	93.1%	Austrian	+	6.9%	Adygei	@	3.65
15	 	93.4%	Austrian	+	6.6%	Ossetian	@	3.67
16	 	55.4%	Serbian	+	44.6%	Swedish	@	3.68
17	 	93%	Austrian	+	7%	Balkar	@	3.68
18	 	92.8%	Austrian	+	7.2%	Kabardin	@	3.69
19	 	94.4%	Austrian	+	5.6%	Abhkasian	@	3.72
20	 	94.2%	Austrian	+	5.8%	Georgian	@	3.75

**Leto** · 01-29-2022, 09:11 AM

Born and living in a town in Southern Niedersachsen, no further details. Testing the averages

North_Atlantic 40.83 Pct
Baltic 30.65 Pct
West_Med 12.61 Pct
West_Asian 10.55 Pct
East_Med 2.32 Pct
Red_Sea -
South_Asian 1.95 Pct
East_Asian -
Siberian -
Amerindian 0.65 Pct
Oceanian 0.44 Pct
Northeast_African -
Sub-Saharan -

Distanceto: HJH
4.38009132 German_Brandenburg_Northwest
6.47388407 German_Hither_Pomerania
6.93512076 German_Saxony
6.99881419 German
7.04133510 German_Mecklenburg_Center/East
7.30555268 German_North_Moravia
7.42518013 German_Thuringia_East
7.77648378 German_Mecklenburg_West
7.78324482 German_Saxony-Anhalt_South
7.81851009 German_North_Bohemia
8.34534002 German_County_Glatz
9.39874460 Austrian_Salzburg-Upper_Austria
9.54697334 German_Bavaria_Oberpfalz
9.67102890 German_West_Bohemia
9.78265813 German_Thuringia_Central
9.88495827 German_Bavaria_Lower/Middle_Franconia
9.91565429 Austrian
10.12773914 Austrian_Styria
10.15341322 German_Farther_Pomerania
10.25520843 German_Lower_Saxony_South

Target: HJH
Distance: 2.0718% / 2.07178961 | ADC: 0.25x RC
85.9 German_Brandenburg_Northwest
6.3 Dargin
5.0 Irish_Ulster
2.2 Austrian_Lower_Austria
0.6 Kalash