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MyTrueAncestry Mytrueancestry.com

I just compare the Kit F999918 with my Genesis GEDmatch kit. Standard adjusts. Nothing more. Nothing diferent or special.
does not work for me , even though I have full orange bar ................used normal and genesis
it is a bad comparison this gedmatch with truancestry
 
Was just playing around. Set for 2 CM

[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit * (**) [Migration - F2 - A] and M564203 (Saami 10) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]11,745,459[/TD]
[TD="align: center"]12,868,237[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]201[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]26,722,384[/TD]
[TD="align: center"]29,765,644[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]208[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]92,177,938[/TD]
[TD="align: center"]95,086,778[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]323[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]100,292,904[/TD]
[TD="align: center"]102,315,214[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]252[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]105,395,113[/TD]
[TD="align: center"]107,930,365[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]234[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]211,383,129[/TD]
[TD="align: center"]213,834,509[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]291[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]12,177,253[/TD]
[TD="align: center"]13,338,190[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]211[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]107,768,018[/TD]
[TD="align: center"]113,848,574[/TD]
[TD="align: center"]4.8[/TD]
[TD="align: center"]573[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]172,955,011[/TD]
[TD="align: center"]174,707,728[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]311[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]218,799,554[/TD]
[TD="align: center"]220,792,262[/TD]
[TD="align: center"]3.4[/TD]
[TD="align: center"]219[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]233,929,510[/TD]
[TD="align: center"]235,120,419[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]289[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]63,445,205[/TD]
[TD="align: center"]64,468,933[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]211[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]133,618,581[/TD]
[TD="align: center"]134,945,866[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]227[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]84,883,128[/TD]
[TD="align: center"]88,848,691[/TD]
[TD="align: center"]3.5[/TD]
[TD="align: center"]420[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]151,406,414[/TD]
[TD="align: center"]154,014,175[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]249[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]150,656,548[/TD]
[TD="align: center"]152,206,046[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]203[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]29,083,262[/TD]
[TD="align: center"]30,994,911[/TD]
[TD="align: center"]4.1[/TD]
[TD="align: center"]368[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]90,867,295[/TD]
[TD="align: center"]93,435,670[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]237[/TD]

[TD="align: center"]8[/TD]
[TD="align: center"]137,524,151[/TD]
[TD="align: center"]139,062,339[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]234[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]2,682,322[/TD]
[TD="align: center"]3,943,449[/TD]
[TD="align: center"]3.0[/TD]
[TD="align: center"]249[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]107,720,025[/TD]
[TD="align: center"]109,957,950[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]323[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]8,416,256[/TD]
[TD="align: center"]10,594,364[/TD]
[TD="align: center"]3.3[/TD]
[TD="align: center"]375[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]30,094,779[/TD]
[TD="align: center"]32,045,932[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]309[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]21,443,083[/TD]
[TD="align: center"]23,136,879[/TD]
[TD="align: center"]3.0[/TD]
[TD="align: center"]213[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]24,407,108[/TD]
[TD="align: center"]26,366,279[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]246[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]15,115,101[/TD]
[TD="align: center"]17,392,449[/TD]
[TD="align: center"]3.5[/TD]
[TD="align: center"]278[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]48,039,874[/TD]
[TD="align: center"]52,396,544[/TD]
[TD="align: center"]3.9[/TD]
[TD="align: center"]458[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]120,001,334[/TD]
[TD="align: center"]122,807,369[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]249[/TD]

[TD="align: center"]13[/TD]
[TD="align: center"]74,090,415[/TD]
[TD="align: center"]77,389,129[/TD]
[TD="align: center"]4.9[/TD]
[TD="align: center"]580[/TD]

[TD="align: center"]16[/TD]
[TD="align: center"]49,896,680[/TD]
[TD="align: center"]51,325,928[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]201[/TD]

[TD="align: center"]16[/TD]
[TD="align: center"]55,907,811[/TD]
[TD="align: center"]57,134,338[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]208[/TD]

[TD="align: center"]18[/TD]
[TD="align: center"]4,253,242[/TD]
[TD="align: center"]5,432,584[/TD]
[TD="align: center"]4.1[/TD]
[TD="align: center"]220[/TD]

[TD="align: center"]18[/TD]
[TD="align: center"]36,934,371[/TD]
[TD="align: center"]39,472,381[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]287[/TD]

[TD="align: center"]19[/TD]
[TD="align: center"]11,164,790[/TD]
[TD="align: center"]13,680,764[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]287[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]58,624,890[/TD]
[TD="align: center"]59,635,795[/TD]
[TD="align: center"]5.1[/TD]
[TD="align: center"]269[/TD]

Largest segment = 5.1 cM

Total Half-Match segments (HIR) = 103.6 cM (2.891 Pct)

35 shared segments found for this comparison.

371288 SNPs used for this comparison.

46.285 Pct SNPs are full identical

Comparison took 0.037 seconds.
CPU time used: 0.016 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit * (**) [Migration - F2 - A] and M482183 (Saami 1) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]63,546,715[/TD]
[TD="align: center"]65,097,263[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]248[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]230,809,434[/TD]
[TD="align: center"]232,232,335[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]270[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]54,871,826[/TD]
[TD="align: center"]56,527,268[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]285[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]172,661,239[/TD]
[TD="align: center"]174,646,603[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]268[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]4,363,642[/TD]
[TD="align: center"]5,419,685[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]204[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]14,384,751[/TD]
[TD="align: center"]15,930,961[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]227[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]139,570,038[/TD]
[TD="align: center"]140,975,013[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]241[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]172,367,126[/TD]
[TD="align: center"]175,125,617[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]293[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]179,404,023[/TD]
[TD="align: center"]180,933,174[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]223[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]14,700,035[/TD]
[TD="align: center"]16,610,057[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]209[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]113,296,006[/TD]
[TD="align: center"]115,233,116[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]238[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]137,754,808[/TD]
[TD="align: center"]141,049,407[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]255[/TD]

[TD="align: center"]6[/TD]
[TD="align: center"]24,735,308[/TD]
[TD="align: center"]28,466,988[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]629[/TD]

[TD="align: center"]8[/TD]
[TD="align: center"]5,912,591[/TD]
[TD="align: center"]6,828,241[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]347[/TD]

[TD="align: center"]8[/TD]
[TD="align: center"]52,497,178[/TD]
[TD="align: center"]54,312,886[/TD]
[TD="align: center"]3.0[/TD]
[TD="align: center"]225[/TD]

[TD="align: center"]8[/TD]
[TD="align: center"]57,135,889[/TD]
[TD="align: center"]58,844,022[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]226[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]15,362,057[/TD]
[TD="align: center"]16,658,915[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]245[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]26,127,824[/TD]
[TD="align: center"]27,349,580[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]262[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]81,331,339[/TD]
[TD="align: center"]82,474,979[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]216[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]126,520,068[/TD]
[TD="align: center"]128,965,556[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]265[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]13,978,235[/TD]
[TD="align: center"]15,235,954[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]337[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]29,586,483[/TD]
[TD="align: center"]31,289,921[/TD]
[TD="align: center"]3.9[/TD]
[TD="align: center"]346[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]127,010,681[/TD]
[TD="align: center"]128,025,384[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]200[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]76,600,231[/TD]
[TD="align: center"]79,004,798[/TD]
[TD="align: center"]3.4[/TD]
[TD="align: center"]368[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]102,127,262[/TD]
[TD="align: center"]104,129,802[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]253[/TD]

[TD="align: center"]13[/TD]
[TD="align: center"]46,360,678[/TD]
[TD="align: center"]47,700,334[/TD]
[TD="align: center"]2.8[/TD]
[TD="align: center"]234[/TD]

[TD="align: center"]13[/TD]
[TD="align: center"]107,885,801[/TD]
[TD="align: center"]108,818,885[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]230[/TD]

[TD="align: center"]15[/TD]
[TD="align: center"]38,188,807[/TD]
[TD="align: center"]39,482,575[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]239[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]12,007,223[/TD]
[TD="align: center"]13,205,338[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]224[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]57,031,757[/TD]
[TD="align: center"]57,944,370[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]208[/TD]

[TD="align: center"]21[/TD]
[TD="align: center"]34,510,880[/TD]
[TD="align: center"]35,823,779[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]224[/TD]

Largest segment = 3.9 cM

Total Half-Match segments (HIR) = 79.4 cM (2.215 Pct)

31 shared segments found for this comparison.

371288 SNPs used for this comparison.

46.273 Pct SNPs are full identical

Comparison took 0.019 seconds.
CPU time used: 0.015 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit * (*) [Migration - F2 - A] and M343758 (I0443 Yamnaya) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]169,580,885[/TD]
[TD="align: center"]171,623,833[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]232[/TD]

Largest segment = 2.2 cM

Total Half-Match segments (HIR) = 2.2 cM (0.061 Pct)

1 shared segments found for this comparison.

279223 SNPs used for this comparison.

53.273 Pct SNPs are full identical

Comparison took 0.015 seconds.
CPU time used: 0.013 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit (*) (*) [Migration - F2 - A] and LP4532362 (84001 Sigtuna 10-12 century) [-]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]15[/TD]
[TD="align: center"]61,394,875[/TD]
[TD="align: center"]62,660,554[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]213[/TD]

Largest segment = 2.1 cM

Total Half-Match segments (HIR) = 2.1 cM (0.059 Pct)

1 shared segments found for this comparison.

386326 SNPs used for this comparison.

52.548 Pct SNPs are full identical

Comparison took 0.046 seconds.
CPU time used: 0.019 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit * (*) [Migration - F2 - A] and LV6799082 (kal009 Sigtuna 10-12 century) [-]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]6[/TD]
[TD="align: center"]25,257,580[/TD]
[TD="align: center"]32,740,895[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]264[/TD]

Largest segment = 3.1 cM

Total Half-Match segments (HIR) = 3.1 cM (0.087 Pct)

1 shared segments found for this comparison.

57722 SNPs used for this comparison.

56.124 Pct SNPs are full identical

Comparison took 0.012 seconds.
CPU time used: 0.006 cpu seconds.
 
[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit A (*) [Migration - F2 - A] and F999916 (LBK, Stuttgart, 7ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]11,017,551[/TD]
[TD="align: center"]12,189,561[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]245[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]131,123,264[/TD]
[TD="align: center"]133,615,057[/TD]
[TD="align: center"]3.4[/TD]
[TD="align: center"]226[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]228,526,100[/TD]
[TD="align: center"]229,995,411[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]246[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]61,495[/TD]
[TD="align: center"]1,420,284[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]350[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]64,242,106[/TD]
[TD="align: center"]65,530,833[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]328[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]154,452,248[/TD]
[TD="align: center"]155,951,509[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]254[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]108,031,617[/TD]
[TD="align: center"]110,485,574[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]316[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]130,872,884[/TD]
[TD="align: center"]131,815,310[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]200[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]423,555[/TD]
[TD="align: center"]1,515,126[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]204[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]72,131,939[/TD]
[TD="align: center"]72,960,558[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]244[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]60,107,660[/TD]
[TD="align: center"]62,246,596[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]358[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]71,281,562[/TD]
[TD="align: center"]74,044,976[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]279[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]129,785,615[/TD]
[TD="align: center"]130,956,627[/TD]
[TD="align: center"]3.4[/TD]
[TD="align: center"]244[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]20,043,429[/TD]
[TD="align: center"]21,315,415[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]293[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]65,018,137[/TD]
[TD="align: center"]66,992,513[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]263[/TD]

[TD="align: center"]13[/TD]
[TD="align: center"]92,968,290[/TD]
[TD="align: center"]94,982,174[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]328[/TD]

[TD="align: center"]14[/TD]
[TD="align: center"]90,918,435[/TD]
[TD="align: center"]92,352,114[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]258[/TD]

[TD="align: center"]15[/TD]
[TD="align: center"]47,690,050[/TD]
[TD="align: center"]49,375,215[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]275[/TD]

[TD="align: center"]15[/TD]
[TD="align: center"]68,698,192[/TD]
[TD="align: center"]70,072,205[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]217[/TD]

[TD="align: center"]15[/TD]
[TD="align: center"]99,615,560[/TD]
[TD="align: center"]100,746,908[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]206[/TD]

[TD="align: center"]17[/TD]
[TD="align: center"]4,862,962[/TD]
[TD="align: center"]5,900,527[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]219[/TD]

[TD="align: center"]19[/TD]
[TD="align: center"]17,158,694[/TD]
[TD="align: center"]18,168,674[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]214[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]936,079[/TD]
[TD="align: center"]1,886,493[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]258[/TD]

[TD="align: center"]21[/TD]
[TD="align: center"]33,354,764[/TD]
[TD="align: center"]34,499,426[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]219[/TD]

[TD="align: center"]21[/TD]
[TD="align: center"]36,669,447[/TD]
[TD="align: center"]37,866,090[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]216[/TD]

Largest segment = 3.4 cM

Total Half-Match segments (HIR) = 64.1 cM (1.788 Pct)

25 shared segments found for this comparison.

442324 SNPs used for this comparison.

51.849 Pct SNPs are full identical

Comparison took 0.039 seconds.
CPU time used: 0.019 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit A (*) [Migration - F2 - A] and F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]11,783,484[/TD]
[TD="align: center"]13,176,463[/TD]
[TD="align: center"]3.6[/TD]
[TD="align: center"]247[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]116,207,953[/TD]
[TD="align: center"]118,645,320[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]358[/TD]

[TD="align: center"]6[/TD]
[TD="align: center"]2,914,609[/TD]
[TD="align: center"]3,797,857[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]216[/TD]

[TD="align: center"]6[/TD]
[TD="align: center"]17,283,321[/TD]
[TD="align: center"]19,455,877[/TD]
[TD="align: center"]2.8[/TD]
[TD="align: center"]319[/TD]

[TD="align: center"]6[/TD]
[TD="align: center"]104,351,361[/TD]
[TD="align: center"]106,328,676[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]313[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]8,169,707[/TD]
[TD="align: center"]8,810,447[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]219[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]15,309,928[/TD]
[TD="align: center"]16,658,915[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]315[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]80,880,900[/TD]
[TD="align: center"]82,405,254[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]265[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]92,078,697[/TD]
[TD="align: center"]94,785,223[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]330[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]126,788,191[/TD]
[TD="align: center"]127,859,150[/TD]
[TD="align: center"]2.8[/TD]
[TD="align: center"]234[/TD]

[TD="align: center"]13[/TD]
[TD="align: center"]96,087,296[/TD]
[TD="align: center"]98,315,257[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]273[/TD]

[TD="align: center"]14[/TD]
[TD="align: center"]55,233,098[/TD]
[TD="align: center"]56,963,072[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]308[/TD]

[TD="align: center"]16[/TD]
[TD="align: center"]86,076,078[/TD]
[TD="align: center"]86,554,024[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]267[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]58,031,774[/TD]
[TD="align: center"]58,888,125[/TD]
[TD="align: center"]3.3[/TD]
[TD="align: center"]227[/TD]

[TD="align: center"]21[/TD]
[TD="align: center"]27,832,331[/TD]
[TD="align: center"]28,712,788[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]244[/TD]

[TD="align: center"]21[/TD]
[TD="align: center"]33,221,021[/TD]
[TD="align: center"]34,509,155[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]260[/TD]

[TD="align: center"]22[/TD]
[TD="align: center"]45,117,434[/TD]
[TD="align: center"]45,892,433[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]236[/TD]

Largest segment = 3.6 cM

Total Half-Match segments (HIR) = 43.1 cM (1.202 Pct)

17 shared segments found for this comparison.

445002 SNPs used for this comparison.

52.077 Pct SNPs are full identical

Comparison took 0.054 seconds.
CPU time used: 0.021 cpu seconds.
 
[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit (*) [Migration - F2 - A] and T661186 (Nanna B Magnusdottir) [Migration - F2 - T]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 2.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]9,533,238[/TD]
[TD="align: center"]11,489,678[/TD]
[TD="align: center"]3.3[/TD]
[TD="align: center"]265[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]157,252,102[/TD]
[TD="align: center"]158,729,713[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]255[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]245,316,219[/TD]
[TD="align: center"]246,136,870[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]247[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]26,385,849[/TD]
[TD="align: center"]29,266,459[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]349[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]228,568,652[/TD]
[TD="align: center"]230,100,791[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]242[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]3,431,858[/TD]
[TD="align: center"]4,376,030[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]226[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]26,116,590[/TD]
[TD="align: center"]27,866,326[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]215[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]143,447,722[/TD]
[TD="align: center"]145,341,579[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]207[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]40,739,635[/TD]
[TD="align: center"]41,805,686[/TD]
[TD="align: center"]2.1[/TD]
[TD="align: center"]210[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]116,200,854[/TD]
[TD="align: center"]118,058,065[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]255[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]90,109,586[/TD]
[TD="align: center"]92,616,518[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]267[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]97,312,449[/TD]
[TD="align: center"]99,527,977[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]235[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]142,986,684[/TD]
[TD="align: center"]145,768,267[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]288[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]2,472,410[/TD]
[TD="align: center"]3,573,936[/TD]
[TD="align: center"]2.8[/TD]
[TD="align: center"]261[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]101,678,273[/TD]
[TD="align: center"]104,563,211[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]348[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]109,521,257[/TD]
[TD="align: center"]110,571,327[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]250[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]115,885,060[/TD]
[TD="align: center"]116,949,449[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]256[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]30,902,048[/TD]
[TD="align: center"]33,561,788[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]347[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]4,953,022[/TD]
[TD="align: center"]5,933,112[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]290[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]112,658,438[/TD]
[TD="align: center"]114,095,614[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]295[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]122,204,543[/TD]
[TD="align: center"]123,079,780[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]204[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]11,748,120[/TD]
[TD="align: center"]12,739,125[/TD]
[TD="align: center"]3.6[/TD]
[TD="align: center"]275[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]12,746,585[/TD]
[TD="align: center"]13,574,028[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]227[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]14,264,871[/TD]
[TD="align: center"]16,299,842[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]269[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]106,332,204[/TD]
[TD="align: center"]107,838,392[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]210[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]124,325,977[/TD]
[TD="align: center"]125,427,751[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]271[/TD]

[TD="align: center"]13[/TD]
[TD="align: center"]75,389,261[/TD]
[TD="align: center"]77,101,905[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]306[/TD]

[TD="align: center"]15[/TD]
[TD="align: center"]85,671,379[/TD]
[TD="align: center"]87,443,651[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]347[/TD]

[TD="align: center"]17[/TD]
[TD="align: center"]55,747,876[/TD]
[TD="align: center"]57,403,952[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]201[/TD]

[TD="align: center"]18[/TD]
[TD="align: center"]65,645,842[/TD]
[TD="align: center"]66,900,419[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]252[/TD]

[TD="align: center"]18[/TD]
[TD="align: center"]73,815,707[/TD]
[TD="align: center"]74,709,361[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]222[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]10,386,013[/TD]
[TD="align: center"]11,501,142[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]223[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]45,722,939[/TD]
[TD="align: center"]46,785,769[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]210[/TD]

[TD="align: center"]21[/TD]
[TD="align: center"]16,352,281[/TD]
[TD="align: center"]18,023,205[/TD]
[TD="align: center"]3.6[/TD]
[TD="align: center"]309[/TD]

[TD="align: center"]21[/TD]
[TD="align: center"]18,046,904[/TD]
[TD="align: center"]19,167,479[/TD]
[TD="align: center"]3.0[/TD]
[TD="align: center"]212[/TD]

[TD="align: center"]21[/TD]
[TD="align: center"]27,903,769[/TD]
[TD="align: center"]28,712,788[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]204[/TD]

Largest segment = 3.6 cM

Total Half-Match segments (HIR) = 91.6 cM (2.554 Pct)

36 shared segments found for this comparison.

418724 SNPs used for this comparison.

52.598 Pct SNPs are full identical

Comparison took 0.017 seconds.
CPU time used: 0.015 cpu seconds.
 
Selected adjust:

Minimum segment threshold size to be included in total = 500 SNPs
Minimum segment cM to be included in total = 2.0 cM


FG3Hipr.png

bTYsAvs.png

sC7oYje.png

HDCXO8I.png


I do not knew who were this guy. Now that I know who he is, I think that we are seemed. Loved his tan skin :)

da8zMz3.jpg
 
Last edited:
LMAO. It’s my older brother. He loves to trip. It’s a cool guy. He posts everything on Instagram, like this pic. He's an exhibitionist. LOL. Good job Salento. Loved this :)

Congrats, you’re an Uncle.

It seems that in his travels you Bro got “busy” and left a child behind.

Now he’s all grown up.

They call him: The Rock! lol :grin:


latest


going back to topic now. :)
 
Look at his teeth. Many years ago, a friend of mine who worked with arceologists during excavations in the city of Apollonia in southwestern Albania told me that he was impressed that the skulls they found had almost all the teeth.

the pic is fake. lol

I manipulated the original image:

7x-cE30frTaKBIJu6FftgsoEvaICYDYzWHoXWKhfknI9eN0GttrEEEhcsOVwd6yg6lRc7prmK7gNDJRjmKWIaGX8pOppqgfLlsE1fBbzdc8gnEErFG5Aiq5BzSm27i48KGZsJNI8vN0HrCwAsGDzuGIWmBI8m78S9gpgDQOxQyOIc0BrYGWQDP1cBY_DNbf1vJELx44ZCCuLf69yoG9QRMJaABbk5QmQHw=s0-d
 
Ah...gentlemen, I have news. I only ran Loschbour because I don't have the time to run them one by one, but...

[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1][FONT=&quot]Software Version Mar 26 2019 01:00:34

[/FONT]
[/SIZE][FONT=&quot]F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer][/FONT]

[FONT=&quot]Segment threshold size will be adjusted dynamically between 200 and 400 SNPs[/FONT]
[FONT=&quot]Minimum segment cM to be included in total = 1.0 cM[/FONT]
[FONT=&quot]Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


[/FONT]
[FONT=&quot]Largest segment = 5.4 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 376.1 cM (10.488 Pct)[/FONT]

[FONT=&quot]244 shared segments found for this comparison.[/FONT]

[FONT=&quot]854322 SNPs used for this comparison.[/FONT]

[FONT=&quot]54.269 Pct SNPs are full identical

Am I doing this right?

NE1 Hungary:
[/FONT]
[FONT=&quot]Largest segment = 3.8 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 487.9 cM (13.605 Pct)

BR 2 Hungary
[/FONT]
[FONT=&quot]Largest segment = 3.4 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 462.3 cM (12.890 Pct)

I don't know which one I'm closest to because I can't run them all one by one.

This seems very strange.

Btw, they don't seem to have the Collegno ones.

[/FONT]
[FONT=&quot]

[/FONT]
[FONT=&quot]
[/FONT]
 
Ah...gentlemen, I have news. I only ran Loschbour because I don't have the time to run them one by one, but...

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

[SIZE=-1]Software Version Mar 26 2019 01:00:34

[/SIZE]F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


Largest segment = 5.4 cM

Total Half-Match segments (HIR) = 376.1 cM (10.488 Pct)

244 shared segments found for this comparison.

854322 SNPs used for this comparison.

54.269 Pct SNPs are full identical

Am I doing this right?

NE1 Hungary:
Largest segment = 3.8 cM

Total Half-Match segments (HIR) = 487.9 cM (13.605 Pct)

BR 2 Hungary
Largest segment = 3.4 cM

Total Half-Match segments (HIR) = 462.3 cM (12.890 Pct)

I don't know which one I'm closest to because I can't run them all one by one.

This seems very strange.

Btw, they don't seem to have the Collegno ones.





Well, Angela. You're a cousin of Loschbour’s man too. Salento, who is the group's artist, could make a female version of Loschbour's wife. I already know with who I look like. Now it's you that need to know what was the appearance of Loschbour’s woman. LOL. It's good to laugh a little, to ease the tension of all heated debates. LOL :)
 
Well, Angela. You're a cousin of Loschbour’s man too. Salento, who is the group's artist, could make a female version of Loschbour's wife. I already know with who I look like. Now it's you that need to know what was the appearance of Loschbour’s woman. LOL. It's good to laugh a little, to ease the tension of all heated debates. LOL :)

You just reminded me, ... they are testing for Leonardo DNA.

Leonardo Da Vinci's 'hair' to undergo DNA testing

https://www.cnn.com/style/article/leonardo-da-vinci-hair-lock-intl-scli/index.html
 
You just reminded me, ... they are testing for Leonardo DNA.

Leonardo Da Vinci's 'hair' to undergo DNA testing

https://www.cnn.com/style/article/leonardo-da-vinci-hair-lock-intl-scli/index.html

After we saw what when on with King Richard III's ydna I'm not too sure we can count on it. There could definitely be one or more NPEs in there.

Still, if they have a paper line of males descending from Leonardo DaVinci's brother, and that brother and Leonardo and that brother supposedly shared the same father, then they know what Y line is at the top of the list.

I wonder what it is?

If those bones are not autosomally pretty "Tuscan", they should know already that it can't be him.

Anyway, sorry for the off topic. If people want to discuss we can do it on the famous people y thread if there is one.

Petrarch supposedly is some form of J2, but who knows. I think they're doing the supposed remains of Caravaggio too.
 
Ah...gentlemen, I have news. I only ran Loschbour because I don't have the time to run them one by one, but...

GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

[SIZE=-1]Software Version Mar 26 2019 01:00:34

[/SIZE]F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


Largest segment = 5.4 cM

Total Half-Match segments (HIR) = 376.1 cM (10.488 Pct)

244 shared segments found for this comparison.

854322 SNPs used for this comparison.

54.269 Pct SNPs are full identical

Am I doing this right?

NE1 Hungary:
Largest segment = 3.8 cM

Total Half-Match segments (HIR) = 487.9 cM (13.605 Pct)

BR 2 Hungary
Largest segment = 3.4 cM

Total Half-Match segments (HIR) = 462.3 cM (12.890 Pct)

I don't know which one I'm closest to because I can't run them all one by one.

This seems very strange.

Btw, they don't seem to have the Collegno ones.





These are mine, using my AncestryDNA, 23andme, and LivingDNA raw data, as one superkit, via the new Gedmatch merging tool:

F999918 (Loschbour, Lux., 8ky)


Largest segment = 2.9 cM


Total Half-Match segments (HIR) = 109.2 cM (3.044 Pct)


69 shared segments found for this comparison.


501734 SNPs used for this comparison.


51.319 Pct SNPs are full identical




////////////


F999937 (NE1 Polgár-Ferenci-hát, Hungary 5070-5310 cal BC)


Largest segment = 5.1 cM


Total Half-Match segments (HIR) = 243.5 cM (6.789 Pct)


134 shared segments found for this comparison.


494744 SNPs used for this comparison.


52.834 Pct SNPs are full identical


////////////


F999933 (BR2 Ludas-Varjú-dűlő, Hungary 1110-1270 cal BC)


Largest segment = 5.4 cM


Total Half-Match segments (HIR) = 214.4 cM (5.978 Pct)


123 shared segments found for this comparison.


496784 SNPs used for this comparison.


52.483 Pct SNPs are full identical
 
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