Er ist ein großartiges Beispiel gelungener Integration. Man kann ihn sogar zu einer Pegida-Demo einladen weil er kein Musel ist :D
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Sweden ruled Swedish Pomerania from 1630 to 1815:
https://en.wikipedia.org/wiki/Swedis...rania_1812.png
I don't know how much population movement there was or how much genetic influence that might have had.
Yes.
Most affected is my wife, whose deep ancestry is rural and from Western Mecklenburg only:
rothaer_wife2_scaled,0.133173,0.128972,0.070899,0. 059432,0.041238,0.02259,0.004465,0.012692,0.001432 ,-0.010752,-0.009743,0.001649,-0.005798,0.001239,0.011536,0.004243,0.00013,0.0050 68,0.008673,0.013757,0.007986,0.005441,0.006902,0. 009519,-0.001796
Check her distance against modern individuals (with all that single individuals).
Precautionary: She is not just not from Sweden, but also her genetic is not closest to that. Here's her K36 correlation map, which imo perfectly shows her genetic similarities. She has about 25% proto Slavic.
https://i.imgur.com/UsIdOeG.jpg
I'm less affected after I have abt. 40% proto Slavic, but the more absurd it gets that I at all have a number of Swedes among my lowest distances at G25. My K36 correlation map is also much in line with my ancestry that is somewhat regionally distributed, but well known. There is no notable genetic proximity shown to Sweden.
https://i.imgur.com/F6mQ08b.jpg
My G25 coords:
rothaer_scaled,0.132035,0.133034,0.070144,0.051357 ,0.038161,0.019801,0.00846,0.013846,0.005931,-0.008383,-0.001137,-0.002698,0.003271,0.000413,0.005429,0.005038,0.000 782,-0.004814,0.005656,0.002876,0.006863,-0.001978,0.002342,0.001687,0.002275
There is no notable recent Swedish input due to history. This is all in church record times, so it is well assessable. The administrational language as well as the court and the responsible high court language was German while the Swedish rule.
But many German families came to Sweden while this period of Swedish rule in Pomerania.
Swedes may have some lower level Balto-Slavic input, but not comparable to that of Northern Germans in the Baltic Sea area. But they do have some Finnish and Sami and alike input, both from somewhat recent times from 16th century on as well as from so called South Sami that may have mingled somewhat into the Swea tribe in Central Sweden. Tellingly I often get Sweden_Sami as close pops in Eurogenes calculators with less components.
See also my answer to vbnetkhio on this topic and feel free to try the G25 coords posted there.
I almost never check distances in G25, I use it exclusively for modelling, and compare 2 samples or populations by comparing their results in a model.
Distances can be misleading, your closeness to Swedes could be a coincidence, or there could be minor drifts which differentiate from them, but this cannot be seen in the distances.
here's a quick model to show how G25 can clearly tell you apart from the Swedes:
<table><tbody><tr style="height:9.257014652192442em"><td data-columnid="0" class="multiheader"><div><span onclick="sortByColumn(this, false)">Target</span></div></td><td data-columnid="1" class="multiheader" colspan="2"><div><span onclick="sortByColumn(this)">Distance</span></div></td><td data-columnid="2" class="multisources"><div><span onclick="sortByColumn(this)">Irish</span></div></td><td data-columnid="3" class="multisources"><div><span onclick="sortByColumn(this)">Latvian</span></div></td><td data-columnid="4" class="multisources"><div><span onclick="sortByColumn(this)">Saami</span></div></td><td data-columnid="5" class="multisources"><div><span onclick="sortByColumn(this)">Ukrainian_Zhytomyr</span></div></td></tr><tr data-rowid="0"><td onclick="sortByRow(this)" data-columnid="0" class="multitargets">rothaer_scaled</td><td data-columnid="1" class="multidistance">0.01765433</td><td class="nonselectable multidistchart" style="background-image: linear-gradient(90deg, #777 40.26958004854996%, #999 40.26958004854996%, #999 44.26958004854996%, #777 44.26958004854996%);"><div style="padding-left: 2.555349422075315em">•</div></td><td data-columnid="2" class="multiresult" style="background-color:hsl(207.29, 60.42%, 57.769999999999996%)">50.6</td><td data-columnid="3" class="multiresult" style="background-color:hsl(224.16, 26.68%, 36.08%)">2.4</td><td data-columnid="4" class="multiresult" style="background-color:hsl(224.825, 25.35%, 35.225%)">0.5</td><td data-columnid="5" class="multiresult" style="background-color:hsl(208.725, 57.550000000000004%, 55.925%)">46.5</td></tr><tr data-rowid="1"><td onclick="sortByRow(this)" data-columnid="0" class="multitargets">German</td><td data-columnid="1" class="multidistance">0.01992125</td><td class="nonselectable multidistchart" style="background-image: linear-gradient(90deg, #777 40.26958004854996%, #999 40.26958004854996%, #999 44.26958004854996%, #777 44.26958004854996%);"><div style="padding-left: 3.1249878415681733em">•</div></td><td data-columnid="2" class="multiresult" style="background-color:hsl(199.24, 76.52%, 68.12%)">73.6</td><td data-columnid="3" class="multiresult" style="background-color:#444455">0.0</td><td data-columnid="4" class="multiresult" style="background-color:#444455">0.0</td><td data-columnid="5" class="multiresult" style="background-color:hsl(215.76, 43.480000000000004%, 46.88%)">26.4</td></tr><tr data-rowid="2"><td onclick="sortByRow(this)" data-columnid="0" class="multitargets">German_East</td><td data-columnid="1" class="multidistance">0.01709299</td><td class="nonselectable multidistchart" style="background-image: linear-gradient(90deg, #777 40.26958004854996%, #999 40.26958004854996%, #999 44.26958004854996%, #777 44.26958004854996%);"><div style="padding-left: 2.4142942324796866em">•</div></td><td data-columnid="2" class="multiresult" style="background-color:hsl(207.675, 59.65%, 57.275%)">49.5</td><td data-columnid="3" class="multiresult" style="background-color:#444455">0.0</td><td data-columnid="4" class="multiresult" style="background-color:#444455">0.0</td><td data-columnid="5" class="multiresult" style="background-color:hsl(207.325, 60.35%, 57.725%)">50.5</td></tr><tr data-rowid="3"><td onclick="sortByRow(this)" data-columnid="0" class="multitargets">Swedish</td><td data-columnid="1" class="multidistance">0.00956413</td><td class="nonselectable multidistchart" style="background-image: linear-gradient(90deg, #777 40.26958004854996%, #999 40.26958004854996%, #999 44.26958004854996%, #777 44.26958004854996%);"><div style="padding-left: 0.5224198341846418em">•</div></td><td data-columnid="2" class="multiresult" style="background-color:hsl(198.855, 77.28999999999999%, 68.61500000000001%)">74.7</td><td data-columnid="3" class="multiresult" style="background-color:hsl(217.37, 40.26%, 44.81%)">21.8</td><td data-columnid="4" class="multiresult" style="background-color:hsl(224.23, 26.54%, 35.99%)">2.2</td><td data-columnid="5" class="multiresult" style="background-color:hsl(224.545, 25.91%, 35.585%)">1.3</td></tr><tr data-rowid="4"><td onclick="sortByRow(this)" data-columnid="0" class="multitargets">Polish</td><td data-columnid="1" class="multidistance">0.00748512</td><td class="nonselectable multidistchart" style="background-image: linear-gradient(90deg, #777 40.26958004854996%, #999 40.26958004854996%, #999 44.26958004854996%, #777 44.26958004854996%);"><div style="padding-left: 0em">•</div></td><td data-columnid="2" class="multiresult" style="background-color:hsl(219.89, 35.22%, 41.57%)">14.6</td><td data-columnid="3" class="multiresult" style="background-color:hsl(223.53, 27.94%, 36.89%)">4.2</td><td data-columnid="4" class="multiresult" style="background-color:#444455">0.0</td><td data-columnid="5" class="multiresult" style="background-color:hsl(196.57999999999998, 81.84%, 71.53999999999999%)">81.2</td></tr><tr data-rowid="5"><td onclick="sortByRow(this)" data-columnid="0" class="multitargets">Polish_Kashubian</td><td data-columnid="1" class="multidistance">0.02658709</td><td class="nonselectable multidistchart" style="background-image: linear-gradient(90deg, #777 40.26958004854996%, #999 40.26958004854996%, #999 44.26958004854996%, #777 44.26958004854996%);"><div style="padding-left: 4.8em">•</div></td><td data-columnid="2" class="multiresult" style="background-color:hsl(215.76, 43.480000000000004%, 46.88%)">26.4</td><td data-columnid="3" class="multiresult" style="background-color:hsl(209.25, 56.5%, 55.25%)">45.0</td><td data-columnid="4" class="multiresult" style="background-color:hsl(224.615, 25.77%, 35.495%)">1.1</td><td data-columnid="5" class="multiresult" style="background-color:hsl(215.375, 44.25%, 47.375%)">27.5</td></tr><tr><td onclick="sortByRow(this, true)" data-columnid="0" class="multitargets">Average</td><td data-columnid="1" class="multidistance">0.01638415</td><td class="nonselectable multidistchart" style="background-image: linear-gradient(90deg, #777 40.26958004854996%, #999 40.26958004854996%, #999 44.26958004854996%, #777 44.26958004854996%);"><div style="padding-left: 2.236174802912998em">•</div></td><td data-columnid="2" data-average="0.48233333333333334" class="multiresult" style="background-color:hsl(208.11833333333334, 58.763333333333335%, 56.705%)">48.2</td><td data-columnid="3" data-average="0.12233333333333334" class="multiresult" style="background-color:hsl(220.71833333333333, 33.56333333333333%, 40.505%)">12.2</td><td data-columnid="4" data-average="0.006333333333333333" class="multiresult" style="background-color:hsl(224.77833333333334, 25.44333333333333%, 35.285%)">0.6</td><td data-columnid="5" data-average="0.389" class="multiresult" style="background-color:hsl(211.385, 52.230000000000004%, 52.504999999999995%)">38.9</td></tr></tbody></table>
BTW your wife's results aren't working
Also modelling is just about a mathematical fit by using the 25 coords. If there can not be seen a notable difference in a direct comparison showing distances, the modelling may be wrong too, of course. There are notable genetic differences, displayed in K36 as you see in that earlier posted map of my wife. And here are her distances:
https://i.imgur.com/3ufSPio.jpg
Watch all these Swedish samples. This is almost complete nonsense.
The deficiency of all Eurogenes calculators up to G25 inclusive to in the mentioned aspect correctly distinguish does not eliminate the possibility to get correct models. You "just" get incorrect additional possibilities. (One should have made a "G26" with an additional component resembling "Fennoscandian" in K36 and the problem would be solved. I understand that this can not be done without an incredible effort.)
in her modelling, Baltic is prefered to Slavic (that's probably the reason for her similarity to the Swedes), however Saami is much lower that the Swedish average, and within a normal level for the South Baltic coast.
Target: rothaer_wife2_scaled
Distance: 2.0710% / 0.02070996
66.6 Irish
27.2 Latvian
5.6 Ukrainian_Zhytomyr
0.6 Saami
Maybe the problem here is the lack of modern samples in G25 compared to LM genetics.
The Swedes in G25 could be unrepresentative, and there are probably no Northeast Germans among the German samples.