Gedmatch

[Armando]

Are you offended by what I wrote?

Not at all. I have documented ancestry from all over the planet so I have no reason to be offended. I am simply pointing out a fact. Your conclusion needs proof. Once we get that I will agree with you.

[prairielad]

I have matching segments with K14 (F999936) and MA-1(F999914). When I am able to use the one to many I will see what I can do. If we all share 99.9% of our dna, why would we not have matching segments?

My understanding is that the bases/alleles for this 99.9% are not considered SNP's. FF ,and similar tests, only test SNP's which are located in this .1%.

Therefore this 99.9% identical will not play a part in matching.

Someone can correct me if I am wrong....but that is my understanding.

[1798]

Lochsbour and Motala 12
Largest segment = 3.3 cM
Total of segments > 1.5 cM = 176.7 cM

Lochsbour and La Brana
Largest segment = 3.8 cM
Total of segments > 1.5 cM = 263.1 cM

Lochsbour and Yamnaya 1
Largest segment = 5.9 cM
Total of segments > 1.5 cM = 191.1 cM

Here are the gedmatch IDs for some of the ancients.
Alberstedt I0118 - M467300
Halberstadt LBA I0099 M344778
Corded Ware I0104 M622615
Els Trocs Spain EN R1b1 I0410 M684242*
Karelian-HG (EHG_Oleniy_Ostrov I0061) M652848
Yamna 1 (Yamnaya_Sok_River I0443) M951285
Yamna 2 (Yamnaya I0231) M020637
LBK I0054 - kit M206308*
Corded Ware I0103 - kit M966366
Unetice I0047 - kit M370010
Bell Beaker I0112 M117132
Esperstedt I0172 M303249

[1798]

Lochsbour and Yamnaya 1
Largest segment = 5.9 cM
Total of segments > 1.5 cM = 191.1 cM
Lochsbour
# Population Percent
1 North_Sea 34.51
2 Baltic 33.51
3 Atlantic 23.86
4 Eastern_Euro 7.33

Yamnaya 1
# Population Percent
1 Eastern_Euro 33.52
2 North_Sea 28.14
3 West_Asian 14.93
4 Baltic 11.27
5 Atlantic 4.42
6 South_Asian 4.06
7 Amerindian 3.66

Lochsbour died 3000 years before the Yamnaya 1.

[N21163]

My understanding is that the bases/alleles for this 99.9% are not considered SNP's. FF ,and similar tests, only test SNP's which are located in this .1%.

Therefore this 99.9% identical will not play a part in matching.

Someone can correct me if I am wrong....but that is my understanding.

You understanding is fine. I just don't think 1798 understands.

Say for instance the Human genome is 3.2 Gb (or 3,200,000,000 base pairs) and one person shares 99.9% of these with all other humans, then that 0.1% left over is 3,200,000 base pairs.

Within the remaining 3.2 million base pairs, there will be some we have in common with other people and others we don't.

[1798]

You understanding is fine. I just don't think 1798 understands.

Say for instance the Human genome is 3.2 Gb (or 3,200,000,000 base pairs) and one person shares 99.9% of these with all other humans, then that 0.1% left over is 3,200,000 base pairs.

Within the remaining 3.2 million base pairs, there will be some we have in common with other people and others we don't.

Gedmatch shows the percentage that we share with others. The calculator is using less than 200,000 SNPs.

[1798]

These are interesting Dodecad V3 4-Ancestors Oracle results for Clovis F999919.

# Population Percent
1 Northeast_Asian 48.67
2 Southeast_Asian 21.66
3 West_European 10.70
4 South_Asian 8.79
5 East_European 8.58


Finished reading population data. 227 populations found.
12 components mode.

1 Nganassan_12 + Selkup + Selkup + Thai @ 3.641072
2 Chukchi_11 + Selkup + Selkup + Thai @ 4.198488

[1798]

El Trocs R1b1 M684242
DodecadV3
# Population Percent
1 Mediterranean 69.28
2 West_European 22.29
3 Southwest_Asian 4.72
4 Northwest_African 3.70

Using 4 populations approximation:
1 Sardinian + Sardinian + Sardinian + Sardinian @ 16.632246

Eurogenes K13
# Population Percent
1 West_Med 67.07
2 North_Atlantic 18.08
3 East_Med 14.85

Using 3 populations approximation:
1 50% Sardinian +25% Sardinian +25% Sardinian @ 17.323959

Eurogenes Hunter_Gatherer vs. Farmer Admixture Proportions
Baltic Hunter Gatherer 80.51%
Middle Eastern Herder - * *
East Asian Farmer - * *
South American Hunter Gatherer 14.58%
South Asian Hunter Gatherer 0.22%
North Eurasian Hunter Gatherer 4.69%


puntDNAL K10+Eurasia 4-Ancestors Oracle
# Population Percent
1 Indo_European 72.30
2 Western_Semitic 27.50

Using 3 populations approximation:
1 50% Sardinian +25% Sardinian +25% Sardinian @ 3.898723
Using 4 populations approximation:
1 Basque + Bedouin + Utahn_Whites + Utahn_Whites @ 2.756302


Here is a link to other ancient dna results.
http://www.y-str.org/p/ancient-dna.html

[1798]

Comparing my Kit and F999941 (RISE98,Sweden,3.7ky)
Chr Start Location End Location Centimorgans (cM) SNPs
1 742429 1696020 3.0 158
1 3961230 4543292 1.7 252
1 10930928 12086665 3.2 311
1 15540906 17556113 3.1 381
1 17744697 18362648 2.3 257
1 21560441 22708264 2.1 309
1 44856524 48284438 2.3 662
1 145484985 148198165 1.6 150
1 234365483 234970414 2.0 154
2 6846769 7469186 1.7 206
2 20945970 22532004 1.9 254
2 23235836 25341162 1.7 345
2 166976233 168945921 1.8 331
2 169916914 170916451 1.8 175
2 190660588 192322352 2.0 291
2 199105773 201247451 1.6 362
2 218817636 219949518 1.9 248
2 220521705 221276657 1.6 152
2 232258870 233255229 1.6 180
3 2713393 3077867 1.7 150
3 3721212 4537667 2.5 230
3 8645161 9519554 2.4 295
3 32814611 34971155 1.6 325
3 72779701 73520565 1.8 154
3 189293459 189904673 1.6 152
3 196150705 197338919 2.1 176
4 24650704 25576352 2.3 239
4 186696020 187337378 2.7 188
5 38615082 39673642 1.8 260
5 73708296 75196222 2.6 296
5 88272698 90224642 1.9 255
5 140117828 141133453 1.9 244
5 168635509 169441471 2.1 228
5 176680631 177898302 2.2 272
6 12038473 13955666 3.4 429
6 16915541 19481304 3.8 478
6 34590993 36432203 1.7 431
6 44631011 45797334 2.3 174
6 125541901 127286537 1.5 180
6 158660206 159581660 1.7 181
7 3056808 4106311 1.9 255
7 5124143 6483965 2.5 234
7 7966557 8561914 1.7 182
7 29610756 30439548 1.8 173
7 36767484 37881274 2.0 292
7 69975440 72704893 2.5 395
7 72783975 75280666 2.0 216
7 138231446 139284823 2.2 256
7 145412736 146589128 1.5 163
7 156465303 157330723 1.7 199
9 2923001 3660015 1.6 173
9 23646678 25291050 1.9 283
9 138523591 139452299 1.9 254
10 17025772 18509528 2.2 357
10 114196673 115209805 2.1 245
10 125715593 126836204 2.5 363
11 20063755 20638015 1.9 207
11 23553146 24622561 1.6 202
11 58735516 60506624 1.7 337
11 68284176 69498215 1.8 340
11 116023218 116705080 1.5 160
11 127888287 128868289 1.8 249
12 2416780 3276125 2.5 269
12 4198409 4648888 1.5 158
12 25313984 26338000 1.8 281
12 63579781 64995415 1.7 246
12 108685029 112562237 2.9 597
12 125270269 126009615 2.1 206
12 130658977 132272282 2.2 288
13 103427910 104262838 2.4 232
14 20121287 20565973 2.9 166
14 29049718 31505063 4.3 383
14 75113654 75935219 1.6 178
14 101401360 103381004 1.6 338
14 103764111 104694306 1.6 167
15 23670003 24158123 2.1 155
16 28165 605324 2.1 152
16 617630 1414546 2.7 222
16 5186015 5724108 1.8 196
16 16076109 17193965 2.1 238
16 17629616 19187736 3.3 181
16 20044320 21113219 1.6 190
16 48862589 49584793 1.6 178
17 6296401 7672082 3.6 442
17 10135044 11159432 2.7 249
17 11446809 12229843 2.1 157
17 29992522 31029626 1.6 223
17 33104521 34325718 1.7 179
17 53266143 54430081 1.6 207
17 54818764 57372582 2.2 336
17 63005598 64102446 1.8 172
18 5910977 6556729 2.6 175
18 8884977 9839009 3.0 263
18 43313896 44713030 2.3 401
18 69541658 70215227 2.6 249
19 3074169 3696546 3.2 159
19 9079125 10373400 2.9 261
19 13379462 14448202 2.6 202
19 44691915 45975533 2.1 272
19 55143320 56102928 4.3 254
19 60569067 61091973 1.8 181
20 9244300 9749670 1.5 186
20 9997828 10617188 1.7 173
20 15799077 16736003 1.7 344
20 18841394 19598324 1.9 254
20 23092230 25001105 1.5 476
20 45106620 46291564 3.4 330
20 52224925 52845555 1.5 157
20 54030598 54685526 2.1 164
21 35588210 36406812 2.0 174
21 41145990 41712211 2.4 170
21 46255459 46876597 1.5 174
22 19780181 21588231 4.0 219
22 22252552 23488326 2.3 232
22 29586066 31160958 1.6 308
22 33670103 34308561 1.6 213
22 42316218 42825752 1.7 194
22 46230421 46660294 1.8 152
22 47120462 47454517 2.2 166
Largest segment = 4.3 cM
Total of segments > 1.5 cM = 254.9 cM

[1798]

F999916 (LBK, Stuttgart, 7ky) and me.
Minimum threshold size to be included in total = 150 SNPs
Mismatch-bunching Limit = 75 SNPs
Minimum segment cM to be included in total = 1.5 cM

Largest segment = 4.7 cM
Total of segments > 1.5 cM = 558.0 cM

F999918 (Loschbour, Lux., 8ky)and me.
Minimum threshold size to be included in total = 150 SNPs
Mismatch-bunching Limit = 75 SNPs
Minimum segment cM to be included in total = 1.5 cM

Largest segment = 5.1 cM
Total of segments > 1.5 cM = 467.1 cM

[ballagh]

generations

Hi,

Can anyone explain to me the following.

I have a first cousin Paternal Line we are 2.1 in generations Gedmatch.

Yet with the matches we have there, he always seems to be at least an extra 1 generation difference.

If i am say 3.1 generations to a match he will be 4.5

Can anyone explain this.

[1798]

F999916 (LBK, Stuttgart, 7ky) and me.
Minimum threshold size to be included in total = 150 SNPs
Mismatch-bunching Limit = 75 SNPs
Minimum segment cM to be included in total = 1.5 cM

Largest segment = 4.7 cM
Total of segments > 1.5 cM = 558.0 cM

F999918 (Loschbour, Lux., 8ky)and me.
Minimum threshold size to be included in total = 150 SNPs
Mismatch-bunching Limit = 75 SNPs
Minimum segment cM to be included in total = 1.5 cM

Largest segment = 5.1 cM
Total of segments > 1.5 cM = 467.1 cM

These results show that I have a lot of matching segments with Loschbour and the LBK woman so the autosomal dna of the Isles should be from 2,000-10,000 ybp and not 2,000-4,000.

[mamoahina]

If one lowers the threshold to 3 cMs and 150 SNPs one will see how many matching segments one has to the any other tester. We must have matching segments to everyone on the planet.

Lowering the threshold certainly does not make it a match. The smaller segments increase the chance of it being IBS, not IBD. And lower SNP density points towards IBS mainly because less SNPs translates to less diversity. Less diversity means less mutation or variation. MORE SNPs is what is needed, in theory more variability. It's that potential for variability that is needed.

[1798]

Lowering the threshold certainly does not make it a match. The smaller segments increase the chance of it being IBS, not IBD. And lower SNP density points towards IBS mainly because less SNPs translates to less diversity. Less diversity means less mutation or variation. MORE SNPs is what is needed, in theory more variability. It's that potential for variability that is needed.

I don't have lots of matching segments with other ancient dna specimens. My wife and I have more than 200 and that is to be expected because we come from the same gene pool.

[1798]

West Asian DNA

I would like to know about the migration from West Asia and how I ended up with this dna.

# Population Percent
1 North_Sea 34.43
2 Atlantic 31.38
3 Baltic 13.42
4 Eastern_Euro 7.33
5 West_Asian 5.47
6 West_Med 5.38
7 South_Asian 1.95