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Palermo Trapani
13-06-20, 17:17
It's never too late for Vendetta :)
maybe a clue:
they can’t find Otzi mtDNA in the modern population,
maybe his Tribe was attacked causing heavy casualties, among women too (ending / diminishing Otzi mtDNA line),
he got injured during the battle, and when all was lost he tried to get away, but he died in his way to safety.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725900/
Interesting, good information. Thanks for the link to that article. I have several articles on my c drive about Otzi but that is not one I have read before. I also don't get Otzi on my Genetic Distance Timeline, but like you on the Deep Dive. Could be do to the Calculator MTA is using. I know I get like 19 or so on one of the GEDMATCH calculators that has Otzi in the source data (Punt or Eurogenes Farmer vs. Hunter Gather calculator. I need to check that Scythian sample that is in your updated Deep Dive analysis.
These are your matching samples which have related Y-DNA haplogroupshttps://i.imgur.com/XYfVfwH.png
Interesting, good information. Thanks for the link to that article. I have several articles on my c drive about Otzi but that is not one I have read before. I also don't get Otzi on my Genetic Distance Timeline, but like you on the Deep Dive. Could be do to the Calculator MTA is using. I know I get like 19 or so on one of the GEDMATCH calculators that has Otzi in the source data (Punt or Eurogenes Farmer vs. Hunter Gather calculator. I need to check that Scythian sample that is in your updated Deep Dive analysis.
Punt DNAL: distance is 25
https://i.imgur.com/OD7lHia.jpg
MDLP: he’s not in the Singles, but he’s on top of the 4 populations sharing (and #7 too)
https://i.imgur.com/xt78Qty.jpg
... Who’s the British_Roman ???
I asked before, ... and got no proper answer!
Palermo Trapani
13-06-20, 19:00
Salento: Punt DNA K12, Otzi 19.14, MDLP K16 23.46. Not sure who that British Roman is??? But shows up in my MDLP 16 as well.
Punt DNA K12_Ancient:
Single Population Sharing:
# Population (source) Distance
1 Iceman_MN_SG 19.14
2 Hungary_CA_I1497 20.15
3 Hungary_EN_I0495 20.31
4 LBK_EN_I0054 20.66
5 Iberia_EN_I0412 21.87
6 Starcevo_MN_I0174 22.19
7 Stuttgart_SG 22.74
8 Epserstedt_MN_I0172 25.36
9 Alberstedt_LN_I0118 26
10 Baalberge_MN_I0560 26.74
11 Nordic_LN_SG_RISE97 27.36
12 Remedello_BA_SG_RISE489 27.84
13 Iberia_M_ I0406 28.07
14 Halberstadt_LBA_I0099 28.68
15 Bell_Beaker_Czech_RISE569 28.96
16 Unetice_EBA_I0117 29.04
17 BattleAxe_Sweden_SG_RISE94 29.19
18 Iberia_Chalcolithic_I0300 29.55
19 Armenian_MBA 30.34
20 Vatya_SG_RISE479 30.86
MDLP 16_Ancient Distances.
Distance to: PalermoTrapani
13.41055554 Anatolia_ChL
13.90994249 HungaryGamba_MBA.SG
14.46156631 Anatolian-Neolithic
15.18795575 Anatolia_Neolithic_1d_rel_I0736
15.54029922 Balkan-LBA
15.73365183 Anatolia_Neolithic
18.35271097 GermanStuttgart_LBK
19.41600371 Armenia_ChL
20.12804511 Bell_Beaker
23.46795688 Tyrolean_Iceman
23.56776612 Levant_N
24.45401603 Armenia_MLBA
24.66372640 Maros.SG
24.80739406 Armenia-LBA
25.28639160 British-Roman
25.90022780 HungaryGamba_CA
26.30780873 Iran_recent
26.42003028 Vatya.SG
27.11033567 HungaryGamba_EN
27.58514818 Levant_BA
27.79838305 Remedello_BA.SG
27.81471733 Armenia-MBA
29.03412131 Corded_Ware_Proto_Unetice_Poland.SG
29.21238607 Unetice
29.44126186 Bell_Beaker_Germany.SG
correction: ... distance to Ötzi is 23.9
at PuntDNAL K12 Ancient there’s a difference in results between “Oracle” and “Oracle-4”
https://i.imgur.com/N6zX8GF.jpg
Punt 12
1
Alberstedt_LN_I0118
18.76
2
Nordic_LN_SG_RISE97
20.11
3
Hungary_CA_I1497
20.58
4
Iceman_MN_SG
20.59
5
Halberstadt_LBA_I0099
21.32
6
Unetice_EBA_I0117
21.65
7
Hungary_EN_I0495
22.1
8
Bell_Beaker_Czech_RISE569
22.16
9
BattleAxe_Sweden_SG_RISE94
23.05
10
Vatya_SG_RISE479
23.76
11
Iberia_EN_I0412
24.04
12
LBK_EN_I0054
24.05
13
Hungary_BA_I1502
24.35
14
Epserstedt_MN_I0172
24.53
15
BenzigerodeHeimburg_LN_I0059
24.77
16
Bell_Beaker_Germany_I1549
24.85
17
Baalberge_MN_I0560
25.05
18
Stuttgart_SG
25.75
19
Iberia_M_ I0406
26.03
20
Starcevo_MN_I0174
26.19
I'm a lot closer to some of these samples on other calculators.
Palermo Trapani
13-06-20, 23:35
Salento/Angela: Those distances for a sample 5,300 years old are good (Otzi). Salento, thanks again for that Coia et al 2016 paper on Otzi, that was one that I had not read yet. I am sure the paper linked below is one you both have read but it is good to go back to it as 4,000 BC, EEF/Neolithic ancestry was all across Italy and Europe. I have also been looking for a paper that clearly analyzes the Sicilian_Bell Beaker. The 2nd paper that I linked does not, best I can tell. None of the calculators, to my knowledge, have Otzi and Sicilian_Bell Beaker in the same data set. I was wondering hoe far distance wise Otzi and Sicilian Bell Beaker are from each other? Looking at Figure 1 in Olade et al 2018, Sicililan_Bell Beaker is Anatolian Neolithic and Otzi would plot in the Early European Neolithic?
Sikora et al 2014 (Otzi)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014435/
Olade et al 2018 (Beaker)
https://www.nature.com/articles/nature25738
Punt 12
1
Alberstedt_LN_I0118
18.76
2
Nordic_LN_SG_RISE97
20.11
3
Hungary_CA_I1497
20.58
4
Iceman_MN_SG
20.59
5
Halberstadt_LBA_I0099
21.32
6
Unetice_EBA_I0117
21.65
7
Hungary_EN_I0495
22.1
8
Bell_Beaker_Czech_RISE569
22.16
9
BattleAxe_Sweden_SG_RISE94
23.05
10
Vatya_SG_RISE479
23.76
11
Iberia_EN_I0412
24.04
12
LBK_EN_I0054
24.05
13
Hungary_BA_I1502
24.35
14
Epserstedt_MN_I0172
24.53
15
BenzigerodeHeimburg_LN_I0059
24.77
16
Bell_Beaker_Germany_I1549
24.85
17
Baalberge_MN_I0560
25.05
18
Stuttgart_SG
25.75
19
Iberia_M_ I0406
26.03
20
Starcevo_MN_I0174
26.19
I'm a lot closer to some of these samples on other calculators.
Single Population Sharing:
#
Population (source)
Distance
1
Alberstedt_LN_I0118
15
2
Nordic_LN_SG_RISE97
16.39
3
Vatya_SG_RISE479
16.92
4
Hungary_BA_I1502
17.29
5
Halberstadt_LBA_I0099
17.33
6
Unetice_EBA_I0117
17.63
7
Bell_Beaker_Czech_RISE569
19.65
8
Bell_Beaker_Germany_I1549
20.14
9
BenzigerodeHeimburg_LN_I0059
20.25
10
Hungary_CA_I1497
21.2
11
BattleAxe_Sweden_SG_RISE94
22.41
12
Iceman_MN_SG
22.48
13
Baalberge_MN_I0560
22.78
14
Iberia_M_ I0406
23.26
15
Epserstedt_MN_I0172
23.45
16
Potapovka_I0419
23.54
17
Hungary_EN_I0495
23.85
18
Srubnaya_I0430
24.5
19
Corded_Ware_Estonia_RISE00
25.15
20
Iberia_Chalcolithic_I0300
26.06
#
Population (source)
Distance
1
Alberstedt_LN_I0118
15.95
2
Nordic_LN_SG_RISE97
17.39
3
Vatya_SG_RISE479
17.92
4
Halberstadt_LBA_I0099
18.2
5
Hungary_BA_I1502
18.22
6
Unetice_EBA_I0117
18.49
7
Hungary_CA_I1497
19.15
8
Iceman_MN_SG
20.02
9
Bell_Beaker_Czech_RISE569
20.73
10
BenzigerodeHeimburg_LN_I0059
21.16
11
Bell_Beaker_Germany_I1549
21.42
12
Epserstedt_MN_I0172
21.43
13
Baalberge_MN_I0560
21.49
14
Hungary_EN_I0495
21.69
15
Iberia_M_ I0406
21.91
16
BattleAxe_Sweden_SG_RISE94
22.99
17
Iberia_EN_I0412
23.64
18
Iberia_Chalcolithic_I0300
24.44
19
Potapovka_I0419
24.84
20
LBK_EN_I0054
25.14
Salento/Angela: Those distances for a sample 5,300 years old are good (Otzi). Salento, thanks again for that Coia et al 2016 paper on Otzi, that was one that I had not read yet. I am sure the paper linked below is one you both have read but it is good to go back to it as 4,000 BC, EEF/Neolithic ancestry was all across Italy and Europe. I have also been looking for a paper that clearly analyzes the Sicilian_Bell Beaker. The 2nd paper that I linked does not, best I can tell. None of the calculators, to my knowledge, have Otzi and Sicilian_Bell Beaker in the same data set. I was wondering hoe far distance wise Otzi and Sicilian Bell Beaker are from each other? Looking at Figure 1 in Olade et al 2018, Sicililan_Bell Beaker is Anatolian Neolithic and Otzi would plot in the Early European Neolithic?
Sikora et al 2014 (Otzi)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014435/
Olade et al 2018 (Beaker)
https://www.nature.com/articles/nature25738
Otzi is the Sicilian (Beaker) I4930 Top Match, but the files are small:
results of: Sicily Beaker 2200 BC - I4930
puntDNAL K12 Ancient Oracle results:
Kit Z251090
Single Population Sharing:
# Population (source) Distance
1 Iceman_MN_SG 18.53
2 Hungary_CA_I1497 18.63
3 Hungary_EN_I0495 20.03
4 Epserstedt_MN_I0172 20.32
5 Iberia_EN_I0412 20.44
6 Baalberge_MN_I0560 22.39
7 Iberia_M_ I0406 22.49
8 Remedello_BA_SG_RISE489 23.18
9 LBK_EN_I0054 23.28
10 Iberia_Chalcolithic_I0300 23.51
11 Stuttgart_SG 23.94
12 Alberstedt_LN_I0118 24.52
13 Hungary_BA_I1502 24.97
14 Vatya_SG_RISE479 25.17
15 Nordic_LN_SG_RISE97 26.12
16 Starcevo_MN_I0174 26.22
17 Halberstadt_LBA_I0099 26.56
18 Unetice_EBA_I0117 26.73
19 BenzigerodeHeimburg_LN_I0059 28.91
20 Bell_Beaker_Germany_I1549 29.38
results of: Sicily Beaker 2200 BC - I4930
puntDNAL K12 Ancient Oracle results:
Kit TZ9503361
Single Population Sharing:
# Population (source) Distance
1 Iceman_MN_SG 20.92
2 Hungary_CA_I1497 21.95
3 Hungary_EN_I0495 22.57
4 Iberia_EN_I0412 22.7
5 Epserstedt_MN_I0172 24.64
6 LBK_EN_I0054 24.65
7 Alberstedt_LN_I0118 24.91
8 Stuttgart_SG 25.75
9 Nordic_LN_SG_RISE97 26.51
10 Halberstadt_LBA_I0099 27.1
11 Baalberge_MN_I0560 27.17
12 Remedello_BA_SG_RISE489 27.24
13 Unetice_EBA_I0117 27.31
14 Starcevo_MN_I0174 27.38
15 Iberia_M_ I0406 27.52
16 Iberia_Chalcolithic_I0300 28.38
17 Vatya_SG_RISE479 28.66
18 Hungary_BA_I1502 28.71
19 BattleAxe_Sweden_SG_RISE94 29.2
20 Bell_Beaker_Czech_RISE569 29.48
https://www.eupedia.com/forum/archive/index.php/t-34338.html
results of: Sicily Beaker I4936 (small file)
puntDNAL K12 Ancient Oracle
Kit Z747726
Single Population Sharing:
# Population (source) Distance
1 LBK_EN_I0054 29.61
2 Iberia_EN_I0412 29.96
3 Iceman_MN_SG 30.43
4 Stuttgart_SG 30.51
5 Starcevo_MN_I0174 31.24
6 Hungary_EN_I0495 31.92
7 Hungary_CA_I1497 33.99
8 Epserstedt_MN_I0172 36.66
9 Remedello_BA_SG_RISE489 36.71
10 Iberia_Chalcolithic_I0300 40.56
11 Baalberge_MN_I0560 41.17
12 Iberia_M_ I0406 41.46
13 Armenian_MBA 41.47
14 Alberstedt_LN_I0118 46.67
15 Nordic_LN_SG_RISE97 48.43
16 BattleAxe_Sweden_SG_RISE94 48.77
17 Halberstadt_LBA_I0099 48.78
18 Unetice_EBA_I0117 49.16
19 Anatolian Neolithic_I0746 49.34
20 Anatolian Neolithic_I0745 50.1
... I’m assuming that “Iceman_MN_SG“ is Otzi,
... but to assume = to make an 'A..' out of 'u' and 'me' :grin:
... hopefully I assumed right :)
I have tried to see what it could be like at a younger age and at a more mature one. It is made only with Otzie's face
https://1.bp.blogspot.com/-fFgG5rgxgz8/XuWGk8Xl7XI/AAAAAAAAD-Y/WbCeMb3WWr8Fqx5T0Fw5v5us2HBiS6yoACLcBGAsYHQ/s1600/otzijoven.jpeg
https://1.bp.blogspot.com/-97bz1tkpo3Q/XuWGhiQkDwI/AAAAAAAAD-U/4NY3ZSmN2UEhmu_avX7YyY4B_mkh45CDQCLcBGAsYHQ/s1600/otzimedianaedad.jpeg
Where do you currently think of it? I'm not good at finding out.
I have tried to see what it could be like at a younger age and at a more mature one. It is made only with Otzie's face
https://1.bp.blogspot.com/-fFgG5rgxgz8/XuWGk8Xl7XI/AAAAAAAAD-Y/WbCeMb3WWr8Fqx5T0Fw5v5us2HBiS6yoACLcBGAsYHQ/s1600/otzijoven.jpeg
https://1.bp.blogspot.com/-97bz1tkpo3Q/XuWGhiQkDwI/AAAAAAAAD-U/4NY3ZSmN2UEhmu_avX7YyY4B_mkh45CDQCLcBGAsYHQ/s1600/otzimedianaedad.jpeg
Where do you currently think of it? I'm not good at finding out.
I think of Zorro (Antonio Banderas) :-)
In middle age it does remember A.B. (El Zorro for the Americans I associate it more with the characters of Almodóvar, Western European characters.)
But Otzie at a younger age is more complicated for me because some factor that is more exotic to me is potentiated that after age has decreased.
In middle age it does remember A.B. (El Zorro for the Americans I associate it more with the characters of Almodóvar, Western European characters.)
But Otzie at a younger age is more complicated for me because some factor that is more exotic to me is potentiated that after age has decreased.
he wasn’t that old, he was about 45, though he looks much older in all the portrayals of him.
Palermo Trapani
14-06-20, 06:01
results of: Sicily Beaker I4936 (small file)
puntDNAL K12 Ancient Oracle
Kit Z747726
Single Population Sharing:
# Population (source) Distance
1 LBK_EN_I0054 29.61
2 Iberia_EN_I0412 29.96
3 Iceman_MN_SG 30.43
4 Stuttgart_SG 30.51
5 Starcevo_MN_I0174 31.24
6 Hungary_EN_I0495 31.92
7 Hungary_CA_I1497 33.99
8 Epserstedt_MN_I0172 36.66
9 Remedello_BA_SG_RISE489 36.71
10 Iberia_Chalcolithic_I0300 40.56
11 Baalberge_MN_I0560 41.17
12 Iberia_M_ I0406 41.46
13 Armenian_MBA 41.47
14 Alberstedt_LN_I0118 46.67
15 Nordic_LN_SG_RISE97 48.43
16 BattleAxe_Sweden_SG_RISE94 48.77
17 Halberstadt_LBA_I0099 48.78
18 Unetice_EBA_I0117 49.16
19 Anatolian Neolithic_I0746 49.34
20 Anatolian Neolithic_I0745 50.1
Punt has the Sicilian_Bell Beaker sample(s) in it? Anyway thanks for doing that. Or that Kit number there is the Sicilian_Bell Beaker kit. Anyway, that makes sense. I4930 is the one that is in Dodecad 12B. I guess the other Sicilian Beakers are low quality samples.
he wasn’t that old, he was about 45, though he looks much older in all the portrayals of him.
In his time 45 he would have nothing to do with the 45 of today where someone with that age is splendidly young.
Punt has the Sicilian_Bell Beaker sample(s) in it? Anyway thanks for doing that. Or that Kit number there is the Sicilian_Bell Beaker kit. Anyway, that makes sense. I4930 is the one that is in Dodecad 12B. I guess the other Sicilian Beakers are low quality samples.
... I posted earlier the BK Sicilians puntDNAL results, (...a way around to compare Ötzi and I4930 / I4936 on GedMatch) ... low quality samples, but it worked, and it's better than nothing.
I4930 Sicily Beaker GedMatch # Z251090 and TZ9503361
I4936 GedMatch # Z747726
Otzi GedMatch # T882519
Otzi_dodecad_K12,0,0,5.85,0.33,48.10,4.42,0.20,4.2 5,9.75,2.39,22.61,2.11
I2158 Late Upper Paleolithic Sicilian hunter-gatherer GedMatch # EM6278906
https://www.eupedia.com/forum/archive/index.php/t-34338.html
In his time 45 he would have nothing to do with the 45 of today where someone with that age is splendidly young.
:thinking: ... not for Otzi, he was a strict followers of the Paleo Diet :grin:
Otzi is the Sicilian (Beaker) I4930 Top Match, but the files are small:
results of: Sicily Beaker 2200 BC - I4930
puntDNAL K12 Ancient Oracle results:
Kit Z251090Single Population Sharing:
# Population (source) Distance
1 Iceman_MN_SG 18.53
2 Hungary_CA_I1497 18.63
3 Hungary_EN_I0495 20.03
4 Epserstedt_MN_I0172 20.32
5 Iberia_EN_I0412 20.44
6 Baalberge_MN_I0560 22.39
7 Iberia_M_ I0406 22.49
8 Remedello_BA_SG_RISE489 23.18
9 LBK_EN_I0054 23.28
10 Iberia_Chalcolithic_I0300 23.51
11 Stuttgart_SG 23.94
12 Alberstedt_LN_I0118 24.52
13 Hungary_BA_I1502 24.97
14 Vatya_SG_RISE479 25.17
15 Nordic_LN_SG_RISE97 26.12
16 Starcevo_MN_I0174 26.22
17 Halberstadt_LBA_I0099 26.56
18 Unetice_EBA_I0117 26.73
19 BenzigerodeHeimburg_LN_I0059 28.91
20 Bell_Beaker_Germany_I1549 29.38
results of: Sicily Beaker 2200 BC - I4930
puntDNAL K12 Ancient Oracle results:
Kit TZ9503361
Single Population Sharing:
# Population (source) Distance
1 Iceman_MN_SG 20.92
2 Hungary_CA_I1497 21.95
3 Hungary_EN_I0495 22.57
4 Iberia_EN_I0412 22.7
5 Epserstedt_MN_I0172 24.64
6 LBK_EN_I0054 24.65
7 Alberstedt_LN_I0118 24.91
8 Stuttgart_SG 25.75
9 Nordic_LN_SG_RISE97 26.51
10 Halberstadt_LBA_I0099 27.1
11 Baalberge_MN_I0560 27.17
12 Remedello_BA_SG_RISE489 27.24
13 Unetice_EBA_I0117 27.31
14 Starcevo_MN_I0174 27.38
15 Iberia_M_ I0406 27.52
16 Iberia_Chalcolithic_I0300 28.38?
17 Vatya_SG_RISE479 28.66
18 Hungary_BA_I1502 28.71
19 BattleAxe_Sweden_SG_RISE94 29.2
20 Bell_Beaker_Czech_RISE569 29.48
https://www.eupedia.com/forum/archive/index.php/t-34338.html
Good work. :)
Salento, do we have a way of comparing Otzi to other ancients or ourselves in any other calculator?
Also, did you look at the cluster components for both Otzi and Sicilian Beaker in Punt? It would be interesting to see if Otzi actually had more or less Caucasus like material.
Btw, Otzi actually wasn't very healthy. In a blow for the whole idea of the Paleo diet, his heavily meat based consumption didn't prevent him from having terrible arteriosclerosis, poor thing, along with Lyme disease and parasites.
"He carried one genetic mutation that in modern humans raises the risk of coronary heart disease by 40 per cent, and two others that made him prone to a build-up of fat in the linings of his arteries."
The tattoos on his joints were probably a type of sympathetic magic against the terrible arthritis and accompanying pain that Lyme disease can cause. So much for the healthiness of spending your life in the woods of the lower Alps. :)
Oops, you posted the K12 coordinates for Otzi.
I have tried to see what it could be like at a younger age and at a more mature one. It is made only with Otzie's face
https://1.bp.blogspot.com/-fFgG5rgxgz8/XuWGk8Xl7XI/AAAAAAAAD-Y/WbCeMb3WWr8Fqx5T0Fw5v5us2HBiS6yoACLcBGAsYHQ/s1600/otzijoven.jpeg
https://1.bp.blogspot.com/-97bz1tkpo3Q/XuWGhiQkDwI/AAAAAAAAD-U/4NY3ZSmN2UEhmu_avX7YyY4B_mkh45CDQCLcBGAsYHQ/s1600/otzimedianaedad.jpeg
Where do you currently think of it? I'm not good at finding out.
My immediate thought was Tarantino. :)
Btw, the dna shows that while he had dark hair and eyes, he was extremely fair skinned, like me and Tarantino. :)
https://www.indiewire.com/wp-content/uploads/2017/06/shutterstock_8864028fg.jpg?w=780
https://pgcooper1939.files.wordpress.com/2012/05/quentin-tarantino.jpeg
He went bald very young, so imagine the hairline all the way down.
A few more possibilities:
Roberto Mancini, except that his eyes aren't small and beady enough...
http://www.ansa.it/webimages/img_457x/2018/5/8/68037a811f157b2a9d225a25d1ccb467.jpg
Except for the blue eyes and flat cheekbones maybe Trapattoni?
https://i.pinimg.com/originals/16/97/cc/1697ccc77550c3d59048990c13d58fd7.jpg
Good work. :)
Salento, do we have a way of comparing Otzi to other ancients or ourselves in any other calculator?
Also, did you look at the cluster components for both Otzi and Sicilian Beaker in Punt? It would be interesting to see if Otzi actually had more or less Caucasus like material.
Btw, Otzi actually wasn't very healthy. In a blow for the whole idea of the Paleo diet, his heavily meat based consumption didn't prevent him from having terrible arteriosclerosis, poor thing, along with Lyme disease and parasites.
"He carried one genetic mutation that in modern humans raises the risk of coronary heart disease by 40 per cent, and two others that made him prone to a build-up of fat in the linings of his arteries."
The tattoos on his joints were probably a type of sympathetic magic against the terrible arthritis and accompanying pain that Lyme disease can cause. So much for the healthiness of spending your life in the woods of the lower Alps. :)
Oops, you posted the K12 coordinates for Otzi.
Thanks :)
we know that Otzi GedMatch Kit is T882519, ... we can take his various coordinates and use them in Vahaduo in source or target,
... compare yourself by adding your coordinates.
Otzi puntDNAL K12 Ancient:
Sub-Saharan 3.17 Pct
Amerindian 0.96 Pct
South_Asian 0
Near_East 12.70 Pct
Siberian 0
European_HG 17.86 Pct
Caucasus_HG 5.15 Pct
South_African_HG 3.43 Pct
Anatolian_NF 51.29 Pct
East_Asian 2.83 Pct
Oceanian 2.62 Pct
Beringian 0
Sicily Beaker I4930 (GedM. Kit Z251090) PuntDNAL K12 Ancient:
Sub-Saharan 0.13 Pct
Amerindian 0
South_Asian 0
Near_East 0
Siberian 7.51 Pct of
European_HG 22.89 Pct
Caucasus_HG 14.86 Pct
South_African_HG 0
Anatolian_NF 49.02 Pct
East_Asian 0
Oceanian 5.60 Pct
Beringian 0
Thanks :)
we know that Otzi GedMatch Kit is T882519, ... we can take his various coordinates and use them in Vahaduo in source or target,
... compare yourself by adding your coordinates.
Otzi puntDNAL K12 Ancient:
Sub-Saharan 3.17 Pct
Amerindian 0.96 Pct
South_Asian 0
Near_East 12.70 Pct
Siberian 0
European_HG 17.86 Pct
Caucasus_HG 5.15 Pct
South_African_HG 3.43 Pct
Anatolian_NF 51.29 Pct
East_Asian 2.83 Pct
Oceanian 2.62 Pct
Beringian 0
Sicily Beaker I4930 (GedM. Kit Z251090) PuntDNAL K12 Ancient:
Sub-Saharan 0.13 Pct
Amerindian 0
South_Asian 0
Near_East 0
Siberian 7.51 Pct of
European_HG 22.89 Pct
Caucasus_HG 14.86 Pct
South_African_HG 0
Anatolian_NF 49.02 Pct
East_Asian 0
Oceanian 5.60 Pct
Beringian 0
So, PUNT has him as more Caucasus.
OK, so I used the Otzi Dodecad K12 coordinates.
Doesn't quite make sense since we know he's closest to Sardinians, but since Eurogenes persists in placing me closest to the one Corsican sample, I guess I win? :)
Distance to:
Otzi_dodecad_K12
17.81017900
France_Corsica
20.35930009
Canarias
20.44613166
Andalucia
20.84814380
Murcia
22.15227076
Baleares
22.91045198
Italy_Tuscany
23.02777059
Italy_Liguria
23.23779734
Italy_Emilia
23.48864194
Extremadura
23.57648867
Italy_Marche
23.61153743
Italy_Romagna
23.63887265
Galicia
23.96324477
Castilla_Y_Leon
23.97272200
Portuguese
24.11897800
Sardinian
24.13627240
Italy_Lombardy
24.70827999
Castilla_La_Mancha
24.99722185
Spaniards
25.01933540
Italy_Lazio
25.37940701
Spanish
25.73767937
Italy_Piedmont
25.85328412
Valencia
25.97864315
Morocco_Jews
26.03709469
Aragon
26.14275322
Italy_Campania
Bizarre again:
Target: Otzi_dodecad_K12
Distance: 2.8833% / 2.88334609 | ADC: 0.25x
46.6
Sardinian
23.2
France_Corsica
18.6
Morocco_Jews
5.6
Algerian
3.2
MKK30
1.4
Ethiopians
0.8
Naga
0.6
Korean
Target: Otzi_dodecad_K12
Distance: 0.5496% / 0.54957215
57.0
Sardinian
17.6
Ashkenazi
5.8
Bulgarians
4.8
Moroccan
4.2
Yemen_Jews
4.0
Sandawe_He
2.4
Moroccans
1.8
Japanese
1.2
Ethiopian_Jews
0.4
LWK30
0.4
Tujia
0.2
Bantu_S.E._Tswana
0.2
Chinese
Now Eurogenes K13
I removed him from the source code for K13 ancient, and put him as the target. Amazing results, imo.
It does make sense, imo. He's a MN/Copper Age sample, and so are they...including Baden, which turns out to have no steppe. I always said I thought he, or his people, came from the "Old Europe" metal making cultures.
Distance to:
Iceman_Italy_Iceman_MN.SG_5244_ybp
2.46253934
I1497_CO1_Hungary_MN_
2.78854801
N19_Poland_TRB.SG_5462_ybp
2.82375636
I2366_Hungary_Baden_LCA_5093_ybp
2.93325757
I1495_NE7_HungaryEN_
3.04883584
I2744_Hungary_ALPc_Szakalhat_MN_7050_ybp
3.44130789
I1905_Hungary_Lengyel_LN_6664_ybp
3.49305024
I2354_Hungary_Tiszapolgar_ECA_6200_ybp
3.50217076
N31_Poland_BKG.SG_6138_ybp
3.66008197
N26_Poland_BKG.SG_6151_ybp
3.67932059
I5118_Hungary_LCA_4550_ybp
3.71324656
I2371_Hungary_Baden_LCA_5179_ybp
3.80512812
I2791_Hungary_Protoboleraz_LCA_5471_ybp
3.96726606
I2358_Hungary_Tisza_LN_6700_ybp
4.09249313
I4189_Hungary_Balaton_Lasinja_CA_6050_ybp
4.23027186
I1907_Hungary_Balaton_Lasinja_CA_6153_ybp
4.26660286
N36_Poland_BKG_o1.SG_6250_ybp
4.75155764
N27_Poland_BKG.SG_6250_ybp
4.76491343
R19_Marche_Neolithic_Farmer_Italy
4.80957379
I5117_Hungary_LCA_4550_ybp
4.87833988
I2377_Hungary_ALPc_Tiszadob_MN_7025_ybp
4.87860636
I2752_Hungary_Baden_LCA_5175_ybp
5.01553586
I0706_Bulgaria_Dzhulyunitsa_N_7905_ybp
5.10227400
I2793_Hungary_Tiszapolgar_Bodrogkeresztur_ECHA_630 1_ybp
5.13943577
I1908_Hungary_Balaton_Lasinja_CA_6050_ybp
5.26870003
I2356_Hungary_Tiszapolgar_ECA_6200_ybp
Target: Iceman_Italy_Iceman_MN.SG_5244_ybp
Distance: 0.5247% / 0.52468852 | ADC: 0.25x
37.0
N19_Poland_TRB.SG_5462_ybp
19.0
I1495_NE7_HungaryEN_
16.8
I2744_Hungary_ALPc_Szakalhat_MN_7050_ybp
13.0
I1497_CO1_Hungary_MN_
12.8
I4189_Hungary_Balaton_Lasinja_CA_6050_ybp
1.4
Mota1_Africa_
The original modern spreadsheet makes a lot more sense. From now on that's what I'm going to use. As I've been saying for a while they added those odd Sizzi samples and samples from God knows what "enthusiasts" and "lobbyists", and screwed it up.
Distance to:
Iceman_Italy_Iceman_MN.SG_5244_ybp
7.07662349
Sardinian
26.46129815
North_Italian
26.51757719
Tuscan
26.73475079
Spanish_Andalucia
27.77911986
West_Sicilian
28.44721955
Spanish_Extremadura
28.80864280
Spanish_Valencia
29.14030885
Spanish_Castilla_La_Mancha
29.32518883
Spanish_Murcia
29.82547736
Spanish_Aragon
30.10476873
Portuguese
30.55905430
Spanish_Galicia
30.60126958
South_Italian
30.78574508
Spanish_Cantabria
30.90257918
Spanish_Castilla_Y_Leon
31.51913863
Algerian_Jewish
31.64130686
Italian_Abruzzo
31.77140224
East_Sicilian
31.81213291
Spanish_Cataluna
31.94197082
Southwest_French
32.36436621
Italian_Jewish
32.45735664
Central_Greek
33.04523415
Moroccan
33.12241990
Mozabite_Berber
33.26827768
Greek_Thessaly
Target: Iceman_Italy_Iceman_MN.SG_5244_ybp
Distance: 3.6958% / 3.69584477
79.4 Sardinian
14.2 Italian_Jewish
5.4 French_Basque
1.0 Tunisian
My immediate thought was Tarantino. :)
Btw, the dna shows that while he had dark hair and eyes, he was extremely fair skinned, like me and Tarantino. :)
https://www.indiewire.com/wp-content/uploads/2017/06/shutterstock_8864028fg.jpg?w=780
https://pgcooper1939.files.wordpress.com/2012/05/quentin-tarantino.jpeg
He went bald very young, so imagine the hairline all the way down.
I have tried to see how the mother could be and this result came out, it really is automatic and I did not look for any hair color but this was the result.
Hypothetically Otzie's mother of young and mature age.
https://1.bp.blogspot.com/-HEszxdvAgP4/XuWGnpzQ1SI/AAAAAAAAD-c/S0wGgvNybesppwUD1WxQMfVeN9pxhya5QCLcBGAsYHQ/s1600/otzimadrejoven.jpeg
https://1.bp.blogspot.com/-W8g2rXBKBB4/XuWGqSR9OsI/AAAAAAAAD-g/23BDawxcwJMwJz6PwVKuOhBkEHjL2YZGgCLcBGAsYHQ/s1600/otzimadremayor.jpeg
In rehearsals I also obtained these two images, it could be a suggestion of the appearance of someone current descendant of Otzie or even the possibility of the appearance of women of his family of that time.
https://1.bp.blogspot.com/-CBkRCuaEkSw/XuY67rw3_nI/AAAAAAAAD-8/HkntbTzWRcsteBy7wmDWbGh7KcFmoAsZQCLcBGAsYHQ/s1600/jovenOtzie.jpeg
https://1.bp.blogspot.com/-5RaBZD9gicQ/XuY6-Gpf8mI/AAAAAAAAD_A/xKETW8ABrrUV9PxxRYYIRBAmbON84UqywCLcBGAsYHQ/s1600/otziemadura.jpeg
It all comes from Otzie's face without mixing with the face of any other modern or ancient person.
They say that their mtdna is not in Europe anymore, my feeling is that they are recognizable to me but suddenly they escape me.
Palermo Trapani
14-06-20, 17:16
... I posted earlier the BK Sicilians puntDNAL results, (...a way around to compare Ötzi and I4930 / I4936 on GedMatch) ... low quality samples, but it worked, and it's better than nothing.
I4930 Sicily Beaker GedMatch # Z251090 and TZ9503361
I4936 GedMatch # Z747726
Otzi GedMatch # T882519
Otzi_dodecad_K12,0,0,5.85,0.33,48.10,4.42,0.20,4.2 5,9.75,2.39,22.61,2.11
I2158 Late Upper Paleolithic Sicilian hunter-gatherer GedMatch # EM6278906
https://www.eupedia.com/forum/archive/index.php/t-34338.html
Salento: Good work all the way around with this. Thanks, got it (posts 2758/2759). There is one other Sicilian Bell Beaker (I4933) that is in the supplement of Olade et al 2018 on the Beaker Civilization. Is that one just such a low quality that there is nothing that can be analyzed? Thanks for the kit number on the other Sicilian_Beaker.
Trapattoni has a face of a roman general
epic:laughing:
Palermo Trapani
14-06-20, 17:30
Following what Salento did, estimated Otzi's Eurogenes K13 and K15 and used K13/K15 Updated Modern populations as source. Closest is Sardinia, consistent with academic studies.
Distance to:
Otzi
13.50960399
Sardinia
16.34625339
Sardinian
20.33069109
FrenchCorsica
22.82533242
Algerian
23.26487266
West_Sicilian
24.30994035
Lazio
24.47058847
Tuscan
24.61545450
Moroccan_Jew
24.70626034
Algerian_Jewish
25.04206461
Umbria
25.09857366
Marche
25.35391291
Moroccan
25.45587751
Tuscany
25.52007445
Romagna
25.67459639
Mozabite_Berber
25.98374107
Apulia
26.08026457
Molise
26.12860884
Sicily
26.13820958
Italian_Jewish
26.14539730
Abruzzo
26.19851904
Emilia
26.22564013
Greek_Western-Thrace
26.23488136
Malta
26.24538817
East_Sicilian
26.40393531
Liguria
Eurogenes K15_Updated Modern
Distance to:
Otzi
15.44978641
Sardinian
20.45813286
France_Corsica
23.88276157
Mozabite_Berber
24.39934630
Moroccan
24.68152143
West_Sicilian
24.73560187
Tuscan
25.05444472
Italy_Lazio
25.47501914
Tunisian
25.49424837
Algerian
25.52024882
Italy_Tuscany
25.81544499
Italy_Marche
26.13550841
Italy_Emiliaromagna
26.33047854
Italy_Liguria
26.33163117
Algerian_Jewish
26.80801932
Spanish_Andalucia
26.98702651
Italy_Central_Sicily
27.12996867
Italy_West_Sicily
27.26604298
Italy_Campania
27.30750996
Italian_Jewish
27.65522735
Italy_Lombardy
27.72460099
East_Sicilian
27.78885388
Italy_Apulia
27.95427695
Italy_East_Sicily
28.02324928
Albanian-South
28.56886242
Italy_Calabria
In his time 45 he would have nothing to do with the 45 of today where someone with that age is splendidly young.
... I guess in his time, people turbo-aged :)
... at 45 years old, 46 and 47 :grin:
https://i.imgur.com/ekLYOjm.jpg
Trapattoni has a face of a roman general
epic:laughing:
Yes, he does, but so does someone I posted on this thread:
https://www.eupedia.com/forum/threads/36443-Modern-Italians-who-resemble-busts-from-the-classical-era/page6?p=605664#post605664
I may add the Italian coaches to it. They all look to me as if they could lead armies, and when angry and screaming, they look terrifying. :)
I have tried to see how the mother could be and this result came out, it really is automatic and I did not look for any hair color but this was the result.
Hypothetically Otzie's mother of young and mature age.
https://1.bp.blogspot.com/-HEszxdvAgP4/XuWGnpzQ1SI/AAAAAAAAD-c/S0wGgvNybesppwUD1WxQMfVeN9pxhya5QCLcBGAsYHQ/s1600/otzimadrejoven.jpeg
https://1.bp.blogspot.com/-W8g2rXBKBB4/XuWGqSR9OsI/AAAAAAAAD-g/23BDawxcwJMwJz6PwVKuOhBkEHjL2YZGgCLcBGAsYHQ/s1600/otzimadremayor.jpeg
In rehearsals I also obtained these two images, it could be a suggestion of the appearance of someone current descendant of Otzie or even the possibility of the appearance of women of his family of that time.
https://1.bp.blogspot.com/-CBkRCuaEkSw/XuY67rw3_nI/AAAAAAAAD-8/HkntbTzWRcsteBy7wmDWbGh7KcFmoAsZQCLcBGAsYHQ/s1600/jovenOtzie.jpeg
https://1.bp.blogspot.com/-5RaBZD9gicQ/XuY6-Gpf8mI/AAAAAAAAD_A/xKETW8ABrrUV9PxxRYYIRBAmbON84UqywCLcBGAsYHQ/s1600/otziemadura.jpeg
It all comes from Otzie's face without mixing with the face of any other modern or ancient person.
They say that their mtdna is not in Europe anymore, my feeling is that they are recognizable to me but suddenly they escape me.
... kind of it:
https://youtu.be/L5orHn--wQw
https://d1v3t0rdobjdgs.cloudfront.net/wp-content/uploads/2017/11/13132439/1-1024x630.png
When I saw her the image I got came to my mind this woman. I know she's a supporting actress in one of those crime series, but I don't know much more about her.
R57 (Apulian-like), R437 Iron-Age Praeneste, and SZ40 Hellenic Roman,
by mixing them together, they would make up a big chunk of me, I think :)
... and in these deep dives they are in order, one after the other:
https://i.imgur.com/80QdFd4.gif
Salento: Good work all the way around with this. Thanks, got it (posts 2758/2759). There is one other Sicilian Bell Beaker (I4933) that is in the supplement of Olade et al 2018 on the Beaker Civilization. Is that one just such a low quality that there is nothing that can be analyzed? Thanks for the kit number on the other Sicilian_Beaker.
The I4933 GedMatch Kit (Z618185) doesn’t work, ... file is too small / not enough SNPs ... too bad :)
Otzi closest Archaic Matches:
https://i.imgur.com/vVywDXB.jpg
Otzi’s Neanderthal ... seems huge:
https://i.imgur.com/fmp0OvW.jpg
Neanderthal GedMatch # F999902
Denisovan GedMatch # F999903
... you’re welcome :)
fyi, ... image above ... in many instances, the GedM. # of the Samples are to the left of it :)
Neanderthal GedMatch # F999902
Denisovan GedMatch # F999903
... you’re welcome :)
Nothing...... F999902, F999903
Nothing...... F999902, F999903
... works fine
Neanderthal:
https://i.imgur.com/F7l4MWU.jpg
Denisovan:
https://i.imgur.com/9txddVr.jpg
1 to 1
Salento vs Clovis Montana 12.5ky USA (American)
3.0 cM :cool-v: :satisfied: :grin:
https://i.imgur.com/kK62Hic.jpg
S vs LBK Stuttggart 7ky
https://i.imgur.com/I1eSOOA.jpg
Palermo Trapani
15-06-20, 22:52
The I4933 GedMatch Kit (Z618185) doesn’t work, ... file is too small / not enough SNPs ... too bad :)
Thanks Salento, that confirms what I suspected.
Salento vs RISE98 Sweden 3.7ky
Larg. Seg. 4.2 cM - HIR 15.3 cM
:thinking: Viking :-) make sense, there are y T1a2 Vikings: VK398 (Norway), and more.
https://i.imgur.com/DfAg6su.jpg
S vs Loschbour, Lux 8ky
https://i.imgur.com/inEWh9B.jpg
my Archaic matches (1cM)
https://i.imgur.com/MKfFiwV.jpg
Neardental and danisovan nothing or 0.25 I think I have another weirder bug related to Central America, Egypt according to Yfull.
I'm going to try these others:
Largest segment = 3.0 cM
Total Half-Match segments (HIR) = 3.0 cM (0.084 Pct)
1 shared segments found for this comparison.
589322 SNPs used for this comparison.
51.426 Pct SNPs are full identical
Clovis Montana
Largest segment = 4.5 cM
Total Half-Match segments (HIR) = 8.6 cM (0.239 Pct)
2 shared segments found for this comparison.
612928 SNPs used for this comparison.
55.306 Pct SNPs are full identical
Stuttgart
Largest segment = 3.6 cM
Total Half-Match segments (HIR) = 3.6 cM (0.101 Pct)
1 shared segments found for this comparison.
511941 SNPs used for this comparison.
55.544 Pct SNPs are full identical
Viking
Largest segment = 4.5 cM
Total Half-Match segments (HIR) = 13.0 cM (0.362 Pct)
3 shared segments found for this comparison.
616815 SNPs used for this comparison.
54.565 Pct SNPs are full identical
Loschbour
Montana is a name that I like. Stuttgart I think I have seen it before, I looked it up on the map but now I do not remember exactly where it is but I also like how Stuttgart sounds I think I would like its weather, I will look again to see where it is. Good Viking had seen it on MTA. And loschbour, I remember because someone out there was saying that Loschbour was the ancestor of white Europeans and so I ironically asked him what was the ancestor of non-white Europeans and he goes and gives me a list of where to look, I think he didn't live nor in Europe, the last straw, was the first time that I found out that there were white Europeans and non-white Europeans. Well, nothing pretty wherever you are I have taken Louschbour.
......,..........
Largest segment = 3.0 cM
Total Half-Match segments (HIR) = 3.0 cM (0.084 Pct)
1 shared segments found for this comparison.
589322 SNPs used for this comparison.
51.426 Pct SNPs are full identical
Clovis Montana
Montana is a name that I like.
...............
Clovis Montana (Anzick-1) (Montana Boy) about 12.5 ky, Y Q-Z780 - mt D4h3a
GedMatch # F999919
Native Americans Descend From Ancient Montana Boy
... oldest known burial in North America.
https://www.sciencemag.org/news/2014/02/native-americans-descend-ancient-montana-boy
https://genetic-genealogy-tools.blogspot.com/p/ancient-dna.html?m=1
Clovis Montana (Anzick-1) (Montana Boy) about 12.5 ky, Y Q-Z780 - mt D4h3a
GedMatch # F999919
Native Americans Descend From Ancient Montana Boy
... oldest known burial in North America.
https://www.sciencemag.org/news/2014/02/native-americans-descend-ancient-montana-boy
He did know, Native Americans had also been seen to have something with Europeans.
Until now Europeans were supposed to be descended from only two large population groups, but now we must add a third that possibly came after the first farmers, although it originated in Siberia 24,000 years ago. "This group connects the European population with the Native Americans and is not present in the remains of the hunter-gatherer in Luxembourg from 8,000 years ago, nor in the first farmers," says Salas, who assures that this work "will not pass unnoticed by anyone who wants to do genomics of human populations from now on ».
In this way it could be said that today's Europeans have a genomic relationship with the Americans.
https://www.lavozdegalicia.es/noticia/sociedad/2014/09/18/europeos-comparten-origen-genetico-nativos-americanos/0003_201409G18P24991.htm
He did know, Native Americans had also been seen to have something with Europeans.
Until now Europeans were supposed to be descended from only two large population groups, but now we must add a third that possibly came after the first farmers, although it originated in Siberia 24,000 years ago. "This group connects the European population with the Native Americans and is not present in the remains of the hunter-gatherer in Luxembourg from 8,000 years ago, nor in the first farmers," says Salas, who assures that this work "will not pass unnoticed by anyone who wants to do genomics of human populations from now on ».
In this way it could be said that today's Europeans have a genomic relationship with the Americans.
https://www.lavozdegalicia.es/noticia/sociedad/2014/09/18/europeos-comparten-origen-genetico-nativos-americanos/0003_201409G18P24991.htm
Montana Boy and @Duarte Boy share an ancient mtDNA connection, I think :)
... for 1 to 1 comparison:
Clovis Montana GedMatch # F999919
... you and I ... 3.0 cM
Montana Boy and @Duarte Boy share an ancient mtDNA connection, I think :)
... for 1 to 1 comparison:
Clovis Montana GedMatch # F999919
... you and I ... 3.0 cM
@Duarte boy will be able to reveal the secrets that the Amazon hides as well as discover the animal totem that lives in our spirit
Good morning dear friends @Salento and @Carlos
Thank you for referring to me and to my dear native cousins.
In fact, my deep downstream mtDNA is very old and dates back to the paleolithic in Siberia, Beringia or the first Americans who arrived in North America. According to Yfull my mtDNA was formed> 20000 ybp, TMRCA> 20000 ybp. This means that I have a very old ancestral grandma who seems someone like Clovis, Kennwick, or, who knows, Malta or Ust-Ishim. Uploading the raw data from the FTDNA's .FASTA file to James Lick mtHaplogroup analysis points to a good match with mtHaplogroup R and an imperfect match with other Haplogroups. Haplogroup R was also formed> 20000 ybp, TMRCA> 20000 ybp. I think this is very cool.
I have an ancient grandma among the Native Americans or, at worst, among the same ancestral peoples that originated Native Americans. This is very cool.
Cheers ;)
https://i.imgur.com/lx2E1op.png
https://i.imgur.com/EtXTRjo.png
Best mtDNA Haplogroup Matches:
R(T16189C)
Defining Markers for haplogroup R(T16189C):
HVR2: 73G 263G
CR: 750G 1438G 2706G 4769G 7028T 8860G 11719A 14766T 15326G
HVR1: 16189C
Marker path from rCRS to haplogroup R(T16189C) (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 103A 152C (315.1C) 499A 827G 3547G 3866C 4820A 4977C 6473T 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 9950C 11177T 13590A 14470C 15535T (16182C) (16183C) 16217C 16241G (16519C)
Good Match! Your results also had extra markers for this haplogroup:
Matches(12): 73G 263G 750G 1438G 2706G 4769G 7028T 8860G 11719A 14766T 15326G 16189C
Extras(26): 103A 152C (315.1C) 499A 827G 3547G 3866C 4820A 4977C 6473T 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 9950C 11177T 13590A 14470C 15535T (16182C) (16183C) 16217C 16241G (16519C)
B2
Defining Markers for haplogroup B2:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C
Marker path from rCRS to haplogroup B2 (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(9): 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2b(T152C)
Defining Markers for haplogroup B2b(T152C):
HVR2: 73G 152C 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 6755A 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C
Marker path from rCRS to haplogroup B2b(T152C) (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 6755A ⇨ B2b ⇨ 152C ⇨ B2b(T152C) ⇨ 103A (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(24): 73G 152C 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 6755G 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A
Extras(14): 103A (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2(C16278T)
Defining Markers for haplogroup B2(C16278T):
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C 16278T
Marker path from rCRS to haplogroup B2(C16278T) (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 16278T ⇨ B2(C16278T) ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A 16278C
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2r
Defining Markers for haplogroup B2r:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 5899- 6473T 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C
Marker path from rCRS to haplogroup B2r (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 5899- ⇨ B2r ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 5899C 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2y
Defining Markers for haplogroup B2y:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C 16261T
Marker path from rCRS to haplogroup B2y (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 16261T ⇨ B2y ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A 16261C
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2i
Defining Markers for haplogroup B2i:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6272G 6473T 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C
Marker path from rCRS to haplogroup B2i (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 6272G ⇨ B2i ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 6272A 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2q
Defining Markers for haplogroup B2q:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4047C 4769G 4820A 4977C 6473T 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C
Marker path from rCRS to haplogroup B2q (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 4047C ⇨ B2q ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 4047T 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2l
Defining Markers for haplogroup B2l:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C 16422C
Marker path from rCRS to haplogroup B2l (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 16422C ⇨ B2l ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A 16422T
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2b
Defining Markers for haplogroup B2b:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 6755A 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C
Marker path from rCRS to haplogroup B2b (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 6755A ⇨ B2b ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 6755G 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2c
Defining Markers for haplogroup B2c:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 7241G 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16189C 16217C
Marker path from rCRS to haplogroup B2c (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 7241G ⇨ B2c ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 7241A 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
B2o
Defining Markers for haplogroup B2o:
HVR2: 73G 263G 499A
CR: 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T
HVR1: 16092C 16189C 16217C
Marker path from rCRS to haplogroup B2o (plus extra markers):
H2a2a1(rCRS) ⇨ 263G ⇨ H2a2a ⇨ 8860G 15326G ⇨ H2a2 ⇨ 750G ⇨ H2a ⇨ 4769G ⇨ H2 ⇨ 1438G ⇨ H ⇨ 2706G 7028T ⇨ HV ⇨ 14766T ⇨ R0 ⇨ 73G 11719A ⇨ R ⇨ 16189C ⇨ R(T16189C) ⇨ 8281- 8282- 8283- 8284- 8285- 8286- 8287- 8288- 8289- ⇨ B4'5 ⇨ 16217C ⇨ B4 ⇨ 827G 15535T ⇨ B4b'd'e'j ⇨ 499A 4820A 13590A ⇨ B4b ⇨ 3547G 4977C 6473T 9950C 11177T ⇨ B2 ⇨ 16092C ⇨ B2o ⇨ 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
Imperfect Match. Your results contained differences with this haplogroup:
Matches(23): 73G 263G 499A 750G 827G 1438G 2706G 3547G 4769G 4820A 4977C 6473T 7028T 8860G 9950C 11177T 11719A 13590A 14766T 15326G 15535T 16189C 16217C
Mismatches(10): 8281C 8282C 8283C 8284C 8285C 8286T 8287C 8288T 8289A 16092T
Extras(15): 103A 152C (315.1C) 3866C 8269- 8270- 8273- 8274- 8275- 8276- 8277- 8278- 8279- 8638G 14470C (16182C) (16183C) 16241G (16519C)
:cool-v: @Duarte
your mtDNA seems to trace the entire migration into America.
You mentioned 45.000 year old Ust'-Ishim Man, one of the early modern humans to inhabit Western Siberia, y K-M526, mtDNA R
Ust'-Ishim GedMatch # F999935
one to one comparison:
S vs Ust'-Ishim
Larg. Segm = 3.5 cM - (HIR) = 10.2 cM
https://i.imgur.com/BIjrQp2.jpg
:cool-v: @Duarte
your mtDNA seems to trace the entire migration into America.
You mentioned 45.000 year old Ust'-Ishim Man, one of the early modern humans to inhabit Western Siberia, y K-M526, mtDNA R
Ust'-Ishim GedMatch # F999935
one to one comparison:
S vs Ust'-Ishim
Larg. Segm = 3.5 cM - (HIR) = 10.2 cM
https://i.imgur.com/BIjrQp2.jpg
Thank you Salento. In fact, it looks like that. An old migration route that reached America. Later I will access Gedmatch and see what my autosomal matches with these old samples would look like and post here in response to your post. :good_job:
GEDmatch® Autosomal One-to-one Comparison - V1.0
S vs Ust'-Ishim
F999935
Largest segment = 3.2 cM
Total Half-Match segments (HIR) = 15.5 cM (0.433 Pct)
5 shared segments found for this comparison.
619629 SNPs used for this comparison.
51.567 Pct SNPs are full identical
Hi folks.
Me and Ust'-Ishim:
https://i.imgur.com/ZHBzyqu.png
https://i.imgur.com/NwJvyxS.png
Palermo Trapani
16-06-20, 21:57
Salento/Carlos/Duarte: My 1 to 1(Ust-Ishim)
12198
Salento/Carlos/Duarte: My 1 to 1(Ust-Ishim)
12198
Cool :good_job::smile:
Palermo Trapani
16-06-20, 22:05
Duarte/Carlos: Have you both looked at La Brana-Spain (Kit 999915)?
Duarte/Carlos: Have you both looked at La Brana-Spain (Kit 999915)?
Hi Trapani.
I not share autosomal segments with La Brana:
These are my best ‘Gedmatch Deep Dive’ :
F999937 (NE1, Hungary, 7.2ky) [GEDmatch Xfer]
Largest segment = 5.3 cM
Total Half-Match segments (HIR) = 34.7 cM (0.969 Pct)
10 shared segments found for this comparison.
621609 SNPs used for this comparison.
54.710 Pct SNPs are full identical
Comparison took 2.082 seconds.
CPU time used: 0.128 cpu seconds.
F999933 (BR2, Hungary, 3.2ky) [GEDmatch Xfer]
Largest segment = 4.4 cM
Total Half-Match segments (HIR) = 24.2 cM (0.675 Pct)
7 shared segments found for this comparison.
624328 SNPs used for this comparison.
54.730 Pct SNPs are full identical
Comparison took 1.958 seconds.
CPU time used: 0.100 cpu seconds.
F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]
Largest segment = 5.3 cM
Total Half-Match segments (HIR) = 22.3 cM (0.622 Pct)
6 shared segments found for this comparison.
630946 SNPs used for this comparison.
54.449 Pct SNPs are full identical
Comparison took 2.882 seconds.
CPU time used: 0.136 cpu seconds.
F999916 (LBK, Stuttgart, 7ky) [GEDmatch Xfer]
Largest segment = 4.0 cM
Total Half-Match segments (HIR) = 20.9 cM (0.584 Pct)
6 shared segments found for this comparison.
626993 SNPs used for this comparison.
54.681 Pct SNPs are full identical
Comparison took 1.216 seconds.
CPU time used: 0.070 cpu seconds.
I don’t get La Brana either, with or without the 1
if I don’t ReMeMbEr this:
change “value = 7” with 1
I’ll get nothing to very little
NE1 Larg. Segm. 4.3 cM - HIR 38.8 cM
https://i.imgur.com/uKBQVgX.jpg
BR2 Larg. Segm. 3.9 cM - HIR 19.9 cM
https://i.imgur.com/yznrZ4p.jpg
I don’t get La Brana either, with or without the 1
if I don’t ReMeMbEr this:
change “value = 7” with 1
I’ll get nothing to very little
NE1
https://i.imgur.com/uKBQVgX.jpg
BR2
https://i.imgur.com/yznrZ4p.jpg
:good_job::smile:
my Archaic matches at Default Setting.
fyi: the first row is a Neanderthal, the second a Denisova :)
... my Neanderthal is Strong :grin:
https://i.imgur.com/IsO9dJb.jpg
Palermo Trapani
17-06-20, 01:30
Hi again guys: Here are my 3 best GEDMATCH Deep dives. Loschbour is interesting. You guys are much more in tune with the Y-DNA Haplogroup detail than I am. Loschbour is a WHG and I-M423 (I2A1b) which came from I2A1, which split from I2A. I2A2 (I-M436) split from I2A which is where my I-M223 split from (I2a2a). See Maciamo's article linked below. So at some point, I am going to have to do that Big Y-DNA analysis that you guys recommended a while back, just can't justify it right now, but in the fall will look into it. Hopefully, MTA will get these samples and we can see how they fit with our other Deep dives over there.:good_job:
https://www.eupedia.com/europe/Haplogroup_I2_Y-DNA.shtml
122021220312204
Hi again guys: Here are my 3 best GEDMATCH Deep dives. Loschbour is interesting. You guys are much more in tune with the Y-DNA Haplogroup detail than I am. Loschbour is a WHG and I-M423 (I2A1b) which came from I2A1, which split from I2A. I2A2 (I-M436) split from I2A which is where my I-M223 split from (I2a2a). See Maciamo's article linked below. So at some point, I am going to have to do that Big Y-DNA analysis that you guys recommended a while back, just can't justify it right now, but in the fall will look into it. Hopefully, MTA will get these samples and we can see how they fit with our other Deep dives over there.:good_job:
https://www.eupedia.com/europe/Haplogroup_I2_Y-DNA.shtml
122021220312204
:good_job::smile:
Duarte/Carlos: Have you both looked at La Brana-Spain (Kit 999915)?
Nothing La Braña.
El Mirón number kit is in Gedmatch?
Comparing Kit XXXXXX (Carlos) [FTDNA] and F999937 (NE1, Hungary, 7.2ky) [GEDmatch Xfer]
Largest segment = 4.7 cM
Total Half-Match segments (HIR) = 9.1 cM (0.255 Pct)
2 shared segments found for this comparison.
607850 SNPs used for this comparison.
54.803 Pct SNPs are full identical
Comparison took 0.949 seconds.
CPU time used: 0.061 cpu seconds.
Comparing Kit XXXXXXX (Carlos) [FTDNA] and F999933 (BR2, Hungary, 3.2ky) [GEDmatch Xfer]
Largest segment = 4.0 cM
Total Half-Match segments (HIR) = 4.0 cM (0.112 Pct)
1 shared segments found for this comparison.
610479 SNPs used for this comparison.
55.101 Pct SNPs are full identical
Comparison took 0.350 seconds.
CPU time used: 0.060 cpu seconds.
Ver: May 29 2020 15:12:55
Comparing Kit XXXXXX (Carlos) [FTDNA] and F999937 (NE1, Hungary, 7.2ky) [GEDmatch Xfer]
Largest segment = 4.7 cM
Total Half-Match segments (HIR) = 9.1 cM (0.255 Pct)
2 shared segments found for this comparison.
607850 SNPs used for this comparison.
54.803 Pct SNPs are full identical
Comparison took 0.949 seconds.
CPU time used: 0.061 cpu seconds.
Comparing Kit XXXXXXX (Carlos) [FTDNA] and F999933 (BR2, Hungary, 3.2ky) [GEDmatch Xfer]
Largest segment = 4.0 cM
Total Half-Match segments (HIR) = 4.0 cM (0.112 Pct)
1 shared segments found for this comparison.
610479 SNPs used for this comparison.
55.101 Pct SNPs are full identical
Comparison took 0.350 seconds.
CPU time used: 0.060 cpu seconds.
Ver: May 29 2020 15 (tel:29 2020 15):12:55
:good_job::smile:
Palermo Trapani
17-06-20, 03:22
Nothing La Braña.
El Mirón number kit is in Gedmatch?
I am not sure. What is El Miron's Kit #?
Palermo Trapani
17-06-20, 03:25
Nothing La Braña.
El Mirón number kit is in Gedmatch?
Try M225927. I got this from a eupedia forum started by Lebrok on 18 July 2017. So I am going over to see if it is still there.
Carlos: El Miron's Kit is on Gedmatch as I ran my comparison to El Miron. I don't share any segments with that sample. Maybe you and Duarte do?
Try M225927. I got this from a eupedia forum started by Lebrok on 18 July 2017. So I am going over to see if it is still there.
Carlos: El Miron's Kit is on Gedmatch as I ran my comparison to El Miron. I don't share any segments with that sample. Maybe you and Duarte do?
El Mirón nothing. How strange, I thought I would get something
I'm going to try Villabruna
Comparing Kit XXXXXX (Carlos) [FTDNA] and M236020 (Villabruna Epigravettian) [Migration - V3 - M]
Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 3.0 cM
Largest segment = 3.2 cM
Total Half-Match segments (HIR) = 3.2 cM (0.088 Pct)
1 shared segments found for this comparison.
266250 SNPs used for this comparison.
54.761 Pct SNPs are full identical
Comparison took 0.247 seconds.
CPU time used: 0.038 cpu seconds.
Try M225927. I got this from a eupedia forum started by Lebrok on 18 July 2017. So I am going over to see if it is still there.
Carlos: El Miron's Kit is on Gedmatch as I ran my comparison to El Miron. I don't share any segments with that sample. Maybe you and Duarte do?
Hi Trapani
I think this kit number is from Villabruna Epigravettian:
GEDmatch® Autosomal One-to-one Comparison - V1.0
M236020 (Villabruna Epigravettian) [Migration - V3 - M]
No shared DNA segments found
274878 SNPs used for this comparison.
Comparison took 0.256 seconds.
CPU time used: 0.040 cpu seconds.
Using Vahaduo Dodecad K12b Ancient, Villabruna is far way from me:
Distance to:
Duarte
42.22186282
Villabruna
This is Villabruna modern autosomal correspondence in Vahaduo Dodecad K12b Updated Spreadsheet:
Distance to:
Villabruna
9.93729339
Swedish
11.03964673
Norwegian
17.12019568
Sorb_Lusatia
18.37182081
German
18.47995942
Belorussian
18.60727277
Lithuanian
18.89892060
PL_Mazovia
19.45232634
Southwest_Rus
19.70730321
Dutch
19.75250617
Ukrainian
19.88677450
British_Isles
20.22562236
Orkney
20.29861572
Rus_Tver
20.33679424
Rus_Smolensk
20.64468697
Rus_Kostroma
21.00451856
CEU30
21.12060132
Orcadian
21.12389642
English
21.51791347
Irish
21.57892027
Mixed_Germanic
21.70833480
Argyll
21.79507972
English_Kent
22.27098336
Rus_Pinega
22.67804665
British
23.11371454
Hungarians
Cheers :smile:
Palermo Trapani
17-06-20, 05:32
Duarte/Carlos: I get no matches with Villabruna either using GEDMATCH deep dive. Using Dodecad 12B, I get distance of 59 so not close to me either. I don't think Loschbour is in the Source data for Dodecad 12B.
Duarte/Carlos: I get no matches with Villabruna either using GEDMATCH deep dive. Using Dodecad 12B, I get distance of 59 so not close to me either. I don't think Loschbour is in the Source data for Dodecad 12B.
I selected some samples from Swiss and Germany on Vahaduo Dodecad K12b Ancient to comparsion. Next, the data source and my results.
Aesch1_Switzerland_LN,0,0,3.71,0,66.18,7.18,0.1,0, 8.62,0.78,13.43,0
Aesch10_Switzerland_LN,0,0,2.83,0,67.95,8.35,0,0,1 0.36,0,10.51,0
Aesch11_Switzerland_LN,0,0,3.33,0,66.66,8.37,0,0,1 0.13,0,11.51,0
Aesch12_Switzerland_LN,0,0,6.05,0,67.21,5.74,0,0,8 .64,0,12.36,0
Aesch13_Switzerland_LN,0,0.29,1.51,0,66.45,11.72,0 ,0,8.88,0,11.15,0
Aesch14_Switzerland_LN,0,0,3.95,0.05,64.63,9.07,0, 0,8.17,0,14.13,0
Aesch15_Switzerland_LN,0,0,6.31,0,65.27,7.99,0,0,6 .11,0,14.32,0
Aesch16_Switzerland_LN,0,0,2.87,1.21,64.89,5.04,0, 0,7.24,2.37,16.18,0.19
Aesch17_Switzerland_LN,0,0,2.97,0,65.99,9.59,0,0.2 5,8.32,0,12.87,0
Aesch18_Switzerland_LN,0,0.63,4.59,0.22,66.83,8.09 ,0,0,6.54,0,13.1,0
Aesch19_Switzerland_LN,0,0,5.11,0,65.16,10.36,0,0, 6.56,0,12.81,0
Aesch2_Switzerland_LN,0,0,7.65,0,66.67,7.92,0,0,4. 97,0.82,11.96,0
Aesch20_Switzerland_LN,0,0,4.2,0,70.33,10.34,0,0.0 1,5.89,0.96,8.27,0
Aesch21_Switzerland_LN,0,0,3.33,0,71.19,6.19,0,0,8 .6,0,10.7,0
Aesch22_Switzerland_LN,0,0,6.76,0,62.73,11.6,0,0,8 .68,0,10.22,0
Aesch23_Switzerland_LN,0,0,5.22,0,65.35,9.68,0,0,7 .5,0,12.14,0.12
Aesch24_Switzerland_LN,0,0,3.71,0,69.79,7,0,0,6.34 ,0,13.12,0.04
Aesch25_Switzerland_LN,19.79,1.15,0,0,22.9,54.84,0 .46,0,0,0,0,0.85
Aesch3_Switzerland_LN,0,0,5.59,0,63.58,9.56,0,0,8. 39,0,12.75,0.13
Aesch4_Switzerland_LN,0,0,4.15,0.94,66.08,11.31,0, 0,5.28,0,12.23,0
Aesch5_Switzerland_LN,0,0,6.71,0,65.75,7.17,0,0,9. 84,0,10.52,0.01
Aesch6_Switzerland_LN,0,0,0.41,0,65.34,15.79,0,0,7 .99,0,10.48,0
Aesch7_Switzerland_LN,0,0,4.34,1.17,66.01,16.85,0, 0,5.82,0,5.8,0
Aesch8_Switzerland_LN,0,0,3.16,0,69.84,9.55,0,0,5. 63,0,11.82,0
Aesch9_Switzerland_LN,0,0,3.59,0.42,66.55,9.89,0,0 ,7.08,0,12.47,0
Bockstein_Mesolithic_Germany,0,0,0,0.67,25.22,74.1 1,0,0,0,0,0,0
Brillenhohle_Magdalenian_Germany,0,0,0,5.65,33.07, 28.32,20.64,0,0,0,0,12.31
Burkhardtshohle_Magdalenian_Germany,5.51,6.42,0,3. 94,22.93,33.58,18.00,0,6.95,0,0,2.66
Falkenstein_Mesolithic_Germany,0,0,0,0,32.37,57.17 ,6.37,1.03,0,0,0,3.07
I0022_LBK1976_LBK_EN_Viesenhäuser_Hof_Stuttgart-Mühlhausen_Germany_5500-4800_BCE,0,0,0,0,49.91,5.50,0,1.94,13.22,0,29.44,0
I0025_LBK1992_LBK_EN_Viesenhäuser_Hof_Stuttgart-Mühlhausen_Germany_5500-4800_BCE,0,0,6.23,0,53.62,0,0,0,13.30,0.48,25.34,1 .03
I0026_LBK2155_LBK_EN_Viesenhäuser_Hof_Stuttgart-Mühlhausen_Germany_5500-4800_BCE,0,0,5.23,0,48.47,1.59,0,0,10.90,0,33.70,0 .13
I0046_HAL5_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5206-5004_calBCE,0,0,4.33,0,56.82,0,0,0,13.62,0,25.23,0
I0047_HAL16_Unetice_EBA_Halberstadt-Sonntagsfeld_Germany_2022-1937_calBCE,11.47,0,0,0,32.02,46.57,0,0.40,0,0,9.2 5,0.35
I0048_HAL25_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5206-5052_calBCE,0,0,2.58,0,51.16,2.25,0,0.17,10.03,0,3 3.81,0
I0049_ESP22_Corded_Ware_LN_Esperstedt_Germany_2454-2291_calBCE,19.57,0.95,0,0.63,20.82,54.73,0.95,0,0 ,0,1.75,0.60
I0054_UWS4_LBK_EN_Unterwiederstedt_Germany_5209-5070_calBCE,0,0,5.23,0,48.47,1.59,0,0,10.90,0,33.7 0,0.13
I0056_HAL14_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5206-5052_calBCE,0,0,0.37,0,53.18,2.82,0,0,16.16,0,27.4 7,0
I0057_HAL34_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5207-5067_calBCE,0,0,4.59,0,53.71,0,0,0.56,11.48,0,29.6 5,0
I0058_BZH4_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2283-2146_calBCE,15.54,0.36,0,0,33.61,43.35,0.78,0,0,0, 5.99,0.36
I0059_BZH6_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2286-2153_calBCE,13.29,0,0.93,0,29.97,47.24,0,0.32,0.72 ,0,6.64,0.90
I0060_ROT3_Bell_Beaker_LN_Rothenschirmbach_Germany _2294-2206_calBCE,22.49,0,0,0,25.09,43.23,0.55,0.29,0,0, 8.36,0
I0099_HAL36C_Halberstadt_LBA_Halberstadt-Sonntagsfeld_Germany_1113-1021_calBCE,11.92,0.92,0,0,32.34,47.88,0,0.94,0,0, 5.86,0.15
I0100_HAL4_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5032-4946_calBCE,0,0,3.13,0,55.97,0.39,0,0,12.09,0,28.4 2,0
I0103_ESP16_Corded_Ware_LN_Esperstedt_Germany_2566-2477_calBCE,20.89,0.76,0,0.83,21.66,52.44,0.09,0,0 ,0,3.09,0.24
I0104_ESP11_Corded_Ware_LN_Esperstedt_Germany_2473-2348_calBCE,20.39,0.53,0,0,20.14,52.29,0,0,0,0,6.0 2,0.64
I0106_ESP26_Corded_Ware_LN_Esperstedt_Germany_2454-2291_calBCE,19.89,2.33,0,0,14.67,54.07,0,5.23,0,0. 62,3.19,0
I0108_ROT6_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE,8.21,1.72,1.67,0,45.50,38.20,0,1.50,1. 24,0,1.82,0.15
I0111_ROT4_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE,6.92,1.37,1.38,0.12,34.83,42.57,0,0.18 ,0,0,12.62,0
I0112_QUEXII6_Bell_Beaker_LN_Quedlinburg_XII_Germa ny_2340-2190_calBCE,10.31,1.19,0,0,35.25,45.54,0.01,0,0,0, 7.02,0.66
I0113_QUEXII4_Bell_Beaker_LN_Quedlinburg_XII_Germa ny_2290-2130_calBCE,7.14,3.20,3.08,0,40.34,36.17,1.02,0,4. 31,0.56,3.44,0.73
I0114_ESP2_Unetice_EBA_relative_of_I0117_Espersted t_Germany_2131-1979_calBCE,13.17,0.13,0,0,35.91,44.44,0,1.59,1.38 ,0,3.38,0
I0115_ESP3_Unetice_EBA_Esperstedt_Germany_1931-1780_calBCE,8.53,0.12,0,0.58,24.34,50.44,2.51,0,0, 1.13,10.94,1.39
I0116_ESP4_Unetice_EBA_Esperstedt_Germany_2118-1961_calBCE,13.09,1.03,0,0.51,32.55,50.70,0,1.40,0 ,0,0.72,0
I0117_ESP29_Unetice_EBA_Esperstedt_Germany_2199-2064_calBCE,6.55,1.90,0.64,0.07,33.97,46.42,0.18,0 ,1.61,0,7.87,0.79
I0118_ALB3_Alberstedt_LN_Alberstedt_Germany_2459-2345_calBCE,10.24,0.97,0.61,0,34.38,41.61,0.91,0,1 .21,0,9.34,0.72
I0124_SVP44_Samara_HG_Lebyanzhinka_IV_Sok_River_Sa mara_Russia_5650-5555_calBCE,12.20,9.22,0,0,0,72.54,4.77,0,0,0,0,1. 27
I0164_QUEVIII6_Unetice_EBA_Quedlinburg_VIII_German y_2012-1919_calBCE,12.37,1.91,0,0,26.31,53.62,0,0,0,0,5.1 4,0.66
I0171_BZH12_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2204-2136_calBCE,19.54,0,0,0,26.51,49.29,3.10,1.57,0,0, 0,0
I0172_ESP24_Esperstedt_MN_Esperstedt_Germany_3360-3086_calBCE,0,0,3.89,0,62.68,10.75,0,0,5.76,0,16.9 2,0
I0795_KAR6_LBK_EN_Karsdorf_Germany_5207-5070_calBCE,0,0,2.60,0,45.47,0,0,0,14.99,0,36.19,0 .75
I0803_EUL41_Unetice_EBA_Eulau_Germany_2115-1996_calBCE,7.97,2.63,0,0,29.21,48.80,0,1.95,0,0,9 .44,0
I0804_EUL57_Unetice_EBA_Eulau_Germany_2131-1982_calBCE,7.22,0,0,0,34.53,53.23,1.70,0,0,1.43,1 .89,0
I0806_QLB28_Bell_Beaker_LN_Quedlinburg_VII_Germany _2296-2206_calBCE,8.25,1.73,0,1.66,34.28,46.10,0,0,0,0,6 .89,1.10
I0807_ESP30_Baalberge_MN_Esperstedt_Germany_3887-3797_calBCE,0,0,1.10,0,70.89,7.72,0,0,0.73,0,19.56 ,0
I0821_HAL24_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5034-4942_calBCE,0,0,0,0,49.98,0,0,0,10.18,0,39.85,0
RISE434_Tiefbrunn_Germany_4161_years,15.93,0,0,0,2 3.21,60.04,0,0,0,0,0,0.82
RISE435_Tiefbrunn_Germany_4094_years,1.49,0,0,0,21 .13,68.03,0,0,0,0,9.36,0
RISE436_Tiefbrunn_Germany_4124_years,4.85,0,0,0,33 .39,44.75,0,0.03,0,3.08,12.21,1.7
RISE446_Bergrheinfeld_Germany_4015_years,10.44,0,0 ,0,25.54,64.02,0,0,0,0,0,0
RISE47_Sebber_skole_Denmark_3153_years,4.99,0,0,0, 37.63,55.78,0,0,0,0,1.6,0
RISE471_Untermeitingen_Germany,2.99,0,0,0,48.42,32 .55,0,0,0,0,16.04,0
RISE559_Augsburg_Germany,5.7,0,0,0,40.1,37.15,0,0, 0.19,0,16.87,0
RISE560_Augsburg_Germany,15.69,0,0,0,42.42,41.88,0 ,0,0,0,0,0
RISE562_Landau_an_der_Isar_Germany,19.88,0,0,0.22, 34.62,45.28,0,0,0,0,0,0
RISE563_Osterhofen-Altenmark_Germany,6.22,0,0,0,31.7,57.28,0.74,0.75, 0,0.02,3.29,0
RISE564_Osterhofen-Altenmark_Germany,0,0,0,0,42.81,40.34,0,0,0,0,15.9 7,0.88
SNPRA42_Switzerland_LN,0,0,3.26,2.46,59.56,10.57,0 ,0,8.49,0,15.65,0
SNPRA43_Switzerland_LN,0,1.57,7.31,0,63.13,9.23,0, 0,3.63,1.95,13.19,0
SNPRA44_Switzerland_LN,0,0.35,5.22,0,66.32,12.8,0, 0,6.23,0,9.08,0
SNPRA45_Switzerland_LN,0,0,4.93,0.5,69.35,4.99,0.5 4,0,8.32,0.43,10.94,0
SNPRA54_Switzerland_LN,0,0.4,1.52,0,67.74,3.83,0,0 ,0,0,25.21,1.3
SNPRA57_Switzerland_LN,0,0.3,7.09,0,62.83,11.34,0, 0,7.56,0,10.87,0
SNPRA58_Switzerland_LN,0,0,4.43,0.22,66.91,11.95,0 ,0,3.25,0,13.24,0
SNPRA59_Switzerland_LN,0,0.67,6.64,0,61.52,17.53,0 ,0,5.91,0,7.74,0
SNPRA61_Switzerland_LN,0,0,4.19,0.19,67.32,11.42,0 ,0,5.27,0,11.61,0
SNPRA62_Switzerland_LN,0,0,4.73,0.03,61.93,14.32,0 ,0,6.06,0,12.86,0.08
SNPRA63_Switzerland_LN,12.1,0,2.79,2.89,42.92,33.4 3,0,0.03,0.53,0,5.32,0
SNPRA64_Switzerland_LN,12.09,0.79,0,0.25,35.92,41. 73,1.58,0,1.7,0,5.54,0.39
SX10_Switzerland_LN,0,0,0.83,1.17,71.24,9.84,0,0,8 .24,0.31,8.37,0
SX11_Switzerland_LN,0,0,5.83,0.15,61.06,13.94,0,0, 7.02,0,12.01,0
SX17_Switzerland_LN,0,0,5.88,0,64.01,7.14,0,0,5.82 ,0,17.15,0
SX18_Switzerland_LN,3.4,0.37,0.78,0.46,49.34,24.63 ,0,0,1.52,0,18.83,0.68
SX20_Switzerland_LN,4.27,0,2.11,0.98,45.73,33.5,0, 0,2.6,0,10.8,0
SX21_Switzerland_LN,0,0,6.76,0,59.87,5.27,0,0,8.58 ,0.24,19.29,0
SX22_Switzerland_LN,0,0,4.2,0,63.02,8.65,0,0,7.44, 0,16.69,0
SX23_Switzerland_LN,6.78,1.2,0,0,37.31,40.93,0.79, 0.26,1.99,0,10.75,0
SX26_Switzerland_LN,0,0,3.59,0,61.52,8.21,0,0,8.01 ,0.12,18.55,0
SX29_Switzerland_LN,0,0,3.22,0,54.51,7.97,0,0,9.1, 0,25.19,0
SX30_Switzerland_LN,0,0,4.04,0.75,57.89,3.69,0,0,9 .78,0.63,23.22,0
SX32_Switzerland_LN,13.63,0.33,0,0,29.97,46.28,1.1 7,0.35,0,0,8.27,0
SX33_Switzerland_LN,0,0,4.35,0.12,55.59,0,0,0,12.7 6,0,27.18,0
SX8_Switzerland_LN,0,0,3.21,0.78,67.04,9.89,0,0,6. 58,0,12.24,0.26
SX9_Switzerland_LN,0,0,2.25,0,62.87,11.69,0,0,11.2 7,0,11.93,0
Distance to:
Duarte
12.04482461
SX18_Switzerland_LN
13.31904651
SX20_Switzerland_LN
15.09146447
RISE471_Untermeitingen_Germany
16.17269303
SNPRA63_Switzerland_LN
17.39959770
RISE559_Augsburg_Germany
17.77330583
I0113_QUEXII4_Bell_Beaker_LN_Quedlinburg_XII_Germa ny_2290-2130_calBCE
20.56341168
RISE564_Osterhofen-Altenmark_Germany
20.68460297
SX23_Switzerland_LN
20.71039835
I0108_ROT6_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
22.18113162
SNPRA59_Switzerland_LN
22.43041239
SX11_Switzerland_LN
22.53707168
I0118_ALB3_Alberstedt_LN_Alberstedt_Germany_2459-2345_calBCE
22.65406365
I0111_ROT4_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
22.89858948
SNPRA62_Switzerland_LN
23.35696898
SNPRA42_Switzerland_LN
23.66568824
SNPRA64_Switzerland_LN
24.78117834
SX29_Switzerland_LN
25.17133687
RISE436_Tiefbrunn_Germany_4124_years
25.18366931
SNPRA57_Switzerland_LN
25.23206690
Aesch22_Switzerland_LN
25.38883022
I0172_ESP24_Esperstedt_MN_Esperstedt_Germany_3360-3086_calBCE
26.04869287
SX9_Switzerland_LN
26.13446766
SNPRA43_Switzerland_LN
26.37380139
Aesch6_Switzerland_LN
26.38991285
I0112_QUEXII6_Bell_Beaker_LN_Quedlinburg_XII_Germa ny_2340-2190_calBCE
26.39681988
SX26_Switzerland_LN
26.59343152
RISE560_Augsburg_Germany
26.63164096
Aesch3_Switzerland_LN
26.70218530
I0117_ESP29_Unetice_EBA_Esperstedt_Germany_2199-2064_calBCE
26.75218870
I0058_BZH4_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2283-2146_calBCE
26.76446525
Aesch7_Switzerland_LN
26.83419647
SX22_Switzerland_LN
26.86665964
I0806_QLB28_Bell_Beaker_LN_Quedlinburg_VII_Germany _2296-2206_calBCE
26.86832894
I0114_ESP2_Unetice_EBA_relative_of_I0117_Espersted t_Germany_2131-1979_calBCE
27.19562465
SX21_Switzerland_LN
27.32134880
Aesch19_Switzerland_LN
27.56381142
SNPRA44_Switzerland_LN
27.62066256
Aesch4_Switzerland_LN
27.78645893
Aesch14_Switzerland_LN
27.89426464
Aesch23_Switzerland_LN
28.03391696
SNPRA58_Switzerland_LN
28.12266168
I0047_HAL16_Unetice_EBA_Halberstadt-Sonntagsfeld_Germany_2022-1937_calBCE
28.25298391
SX17_Switzerland_LN
28.44684868
I0022_LBK1976_LBK_EN_Viesenhäuser_Hof_Stuttgart-Mühlhausen_Germany_5500-4800_BCE
28.47644816
SX30_Switzerland_LN
28.54316906
Aesch15_Switzerland_LN
28.55855914
Aesch13_Switzerland_LN
28.68443655
SNPRA61_Switzerland_LN
28.71851319
Aesch17_Switzerland_LN
28.82879290
Aesch9_Switzerland_LN
29.17827102
SX8_Switzerland_LN
29.40581405
SX32_Switzerland_LN
29.44887095
Brillenhohle_Magdalenian_Germany
29.67358421
Aesch2_Switzerland_LN
29.79051359
Aesch18_Switzerland_LN
29.86119890
I0099_HAL36C_Halberstadt_LBA_Halberstadt-Sonntagsfeld_Germany_1113-1021_calBCE
29.97310294
Aesch5_Switzerland_LN
30.00473629
I0059_BZH6_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2286-2153_calBCE
30.03972869
Aesch1_Switzerland_LN
30.19104669
Aesch11_Switzerland_LN
30.26281547
Aesch16_Switzerland_LN
30.69548664
I0025_LBK1992_LBK_EN_Viesenhäuser_Hof_Stuttgart-Mühlhausen_Germany_5500-4800_BCE
30.77425385
I0803_EUL41_Unetice_EBA_Eulau_Germany_2115-1996_calBCE
31.17413190
I0056_HAL14_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5206-5052_calBCE
31.40552340
Aesch10_Switzerland_LN
31.55811940
Aesch12_Switzerland_LN
31.72604135
Aesch8_Switzerland_LN
31.73637188
RISE562_Landau_an_der_Isar_Germany
32.04747260
I0026_LBK2155_LBK_EN_Viesenhäuser_Hof_Stuttgart-Mühlhausen_Germany_5500-4800_BCE
32.04747260
I0054_UWS4_LBK_EN_Unterwiederstedt_Germany_5209-5070_calBCE
32.09963084
Aesch20_Switzerland_LN
32.24828212
I0046_HAL5_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5206-5004_calBCE
32.25991476
SX33_Switzerland_LN
32.30748056
I0048_HAL25_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5206-5052_calBCE
32.35456073
I0057_HAL34_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5207-5067_calBCE
32.61645750
I0100_HAL4_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5032-4946_calBCE
32.80683618
Aesch24_Switzerland_LN
32.85074124
Burkhardtshohle_Magdalenian_Germany
32.98801601
I0060_ROT3_Bell_Beaker_LN_Rothenschirmbach_Germany _2294-2206_calBCE
33.63550059
SX10_Switzerland_LN
33.66677442
SNPRA45_Switzerland_LN
33.95136963
I0116_ESP4_Unetice_EBA_Esperstedt_Germany_2118-1961_calBCE
34.21477605
I0115_ESP3_Unetice_EBA_Esperstedt_Germany_1931-1780_calBCE
34.34189715
I0807_ESP30_Baalberge_MN_Esperstedt_Germany_3887-3797_calBCE
34.55702389
I0804_EUL57_Unetice_EBA_Eulau_Germany_2131-1982_calBCE
34.72323430
Aesch21_Switzerland_LN
35.17777281
SNPRA54_Switzerland_LN
35.47511945
I0795_KAR6_LBK_EN_Karsdorf_Germany_5207-5070_calBCE
36.35061072
RISE47_Sebber_skole_Denmark_3153_years
37.24128623
I0164_QUEVIII6_Unetice_EBA_Quedlinburg_VIII_German y_2012-1919_calBCE
37.29446876
I0171_BZH12_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2204-2136_calBCE
37.88849430
I0821_HAL24_LBK_EN_Halberstadt-Sonntagsfeld_Germany_5034-4942_calBCE
38.40706315
RISE563_Osterhofen-Altenmark_Germany
39.75591277
Falkenstein_Mesolithic_Germany
41.15926627
I0104_ESP11_Corded_Ware_LN_Esperstedt_Germany_2473-2348_calBCE
41.28728012
I0103_ESP16_Corded_Ware_LN_Esperstedt_Germany_2566-2477_calBCE
42.88233902
Aesch25_Switzerland_LN
43.24024167
I0049_ESP22_Corded_Ware_LN_Esperstedt_Germany_2454-2291_calBCE
45.77357862
RISE434_Tiefbrunn_Germany_4161_years
46.10980698
I0106_ESP26_Corded_Ware_LN_Esperstedt_Germany_2454-2291_calBCE
47.45521362
RISE446_Bergrheinfeld_Germany_4015_years
51.09107750
RISE435_Tiefbrunn_Germany_4094_years
56.67203102
Bockstein_Mesolithic_Germany
68.17486120
I0124_SVP44_Samara_HG_Lebyanzhinka_IV_Sok_River_Sa mara_Russia_5650-5555_calBCE
https://i.imgur.com/wgQ107n.png
@Duarte this is my father
Comparing Kit *Wheal's Father) [GeneByGene] and F999933 (BR2, Hungary, 3.2ky) [GEDmatch Xfer]
Precision: 30.0
cM threshold: 3.0
Maximum cM: No Limit
Gap threshold: 2.0 cM's
All SNPs used.
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
2
121,883,746
126,503,735
4.8
898
142.00
2
197,075,021
201,286,358
3.1
637
104.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
9
38,641,599
72,460,608
4.2
439
50.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
11
36,226,559
39,728,091
3.0
643
15.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
12
13,656,999
16,124,793
3.4
557
3.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
18
71,789,784
73,086,616
4.5
403
18.00
18
74,842,207
75,926,254
3.2
428
56.00
Total cM: 26.26
Largest segment cM: 4.84
Total segments: 7
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 142.00
Q-score: 104.00
Q-score: 56.00
Q-score: 50.00
Q-score: 18.00
Q-score: 15.00
Q-score: 3.00
@Duarte this is my father
Comparing Kit *Wheal's Father) [GeneByGene] and F999933 (BR2, Hungary, 3.2ky) [GEDmatch Xfer]
Precision: 30.0
cM threshold: 3.0
Maximum cM: No Limit
Gap threshold: 2.0 cM's
All SNPs used.
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
2
121,883,746
126,503,735
4.8
898
142.00
2
197,075,021
201,286,358
3.1
637
104.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
9
38,641,599
72,460,608
4.2
439
50.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
11
36,226,559
39,728,091
3.0
643
15.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
12
13,656,999
16,124,793
3.4
557
3.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
18
71,789,784
73,086,616
4.5
403
18.00
18
74,842,207
75,926,254
3.2
428
56.00
Total cM: 26.26
Largest segment cM: 4.84
Total segments: 7
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 142.00
Q-score: 104.00
Q-score: 56.00
Q-score: 50.00
Q-score: 18.00
Q-score: 15.00
Q-score: 3.00
Very cool Wheal:good_job::smile:
@Salento
I typically don't pay much attention to anything under 100
Comparing Kit (Wheal's Father) [GeneByGene] and F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]
Precision: 30.0
cM threshold: 3.0
Maximum cM: No Limit
Gap threshold: 2.0 cM's
All SNPs used.
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
3
53,762,713
55,574,938
3.3
558
79.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
8
6,686,791
8,501,322
3.3
270
11.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
13
25,773,688
27,066,997
3.3
316
25.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
15
28,179,603
29,468,794
3.5
133
10.00
15
67,461,311
69,863,680
3.8
446
13.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
16
19,226,696
22,866,683
4.8
600
106.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
17
9,384,095
9,996,943
3.3
203
14.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
19
30,577,229
32,870,078
4.7
451
63.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
21
18,341,062
19,562,494
3.7
313
26.00
Total cM: 33.78
Largest segment cM: 4.85
Total segments: 9
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 106.00
Q-score: 79.00
Q-score: 63.00
Q-score: 26.00
Q-score: 25.00
Q-score: 14.00
Q-score: 13.00
Q-score: 11.00
Q-score: 10.00
@Salento
I typically don't pay much attention to anything under 100
Comparing Kit (Wheal's Father) [GeneByGene] and F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]
Precision: 30.0
cM threshold: 3.0
Maximum cM: No Limit
Gap threshold: 2.0 cM's
All SNPs used.
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
3
53,762,713
55,574,938
3.3
558
79.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
8
6,686,791
8,501,322
3.3
270
11.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
13
25,773,688
27,066,997
3.3
316
25.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
15
28,179,603
29,468,794
3.5
133
10.00
15
67,461,311
69,863,680
3.8
446
13.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
16
19,226,696
22,866,683
4.8
600
106.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
17
9,384,095
9,996,943
3.3
203
14.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
19
30,577,229
32,870,078
4.7
451
63.00
Chr
B37 Start Pos'n
B37 End Pos'n
Centimorgans (cM)
SNPs
Q
21
18,341,062
19,562,494
3.7
313
26.00
Total cM: 33.78
Largest segment cM: 4.85
Total segments: 9
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 106.00
Q-score: 79.00
Q-score: 63.00
Q-score: 26.00
Q-score: 25.00
Q-score: 14.00
Q-score: 13.00
Q-score: 11.00
Q-score: 10.00
Nice Q-Matching results,
... we were using the Free one-to-one
... New Game :)
Q-Matching with:
Neanderthal, Eskimo, Kennewick USA 8.3 ki
https://i.imgur.com/dC9CsCn.gif
https://i.imgur.com/lvnBYy5.gif
https://i.imgur.com/a1KB7Pm.gif
Edit ... :innocent:
1-to1 vs Q-Matcing vs D-Dive
S vs SZ1
https://i.imgur.com/7t6tNSo.gif
https://i.imgur.com/WdDOUJ2.jpg
.
.
.
.
.
1-to-1 vs D-Dive
S vs Ötzi
https://i.imgur.com/Kqud6U0.gif
Neanderthal Q-Matching:
https://i.imgur.com/DodJWjw.gif
... it matches the Archaic Matches @ 0.9 cM
https://i.imgur.com/5SZzfLK.gif
https://1.bp.blogspot.com/-61AIL7T5J1M/XurTDIcJgAI/AAAAAAAAEBQ/7t6SOXQIirUZdbhSEe4zJMooe2u8XFI3gCLcBGAsYHQ/s1600/VillabrunaGedMatch.jpeg
I have managed to get the application to accept Villabruna's skull, it has not been easy.
Hypothetical Villabruna
https://1.bp.blogspot.com/-9wwpg05njAo/XurSQtJOlYI/AAAAAAAAEAk/YXMCL55KelwUe5QqnP4RryeL-KOhNWtSwCLcBGAsYHQ/s1600/villabrunajoven.jpeg
https://1.bp.blogspot.com/-8u2vX6eWBUY/XurSTcLqLFI/AAAAAAAAEAs/hM03ktCLu94wxLLK5mSqXgRIVjsPxIHegCLcBGAsYHQ/s1600/VillabrunaMature.jpeg
https://1.bp.blogspot.com/-HVVQVwTWMNY/XurSZOknqxI/AAAAAAAAEAw/wLBNe-dw68YmeWGQCPtk83lwQg7RpFvkQCLcBGAsYHQ/s1600/Villabrunahermana.jpeg
https://1.bp.blogspot.com/-BQhbS6OAe0w/XurSbet31ZI/AAAAAAAAEA4/syWwMsb_HlcRUzq_ckTlAqvJ7W2y1cxagCLcBGAsYHQ/s1600/Villabrunamoderntalvez.jpeg
I have also obtained these two images through Villabruna's skull. It could already be Villabruna's mix with farmers, the point is that it reminds me of someone and I don't know who, especially her.
F999914 (Malta, Siberia, 24ky
No shared DNA segments found
Other kits with which I get results
F999902 (Altai N., Siberia, 50ky
No shared DNA segments found
--------
Other kits with which I get results
Comparing Kit XXXXXX Carlos) [FTDNA] and M655536 (I0231 Yamnaya) [Migration - V3 - M]
Largest segment = 3.9 cM
Total Half-Match segments (HIR) = 3.9 cM (0.108 Pct)
1 shared segments found for this comparison.
368255 SNPs used for this comparison.
55.405 Pct SNPs are full identical
Comparison took 0.861 seconds.
CPU time used: 0.046 cpu seconds.
Ver: Jun 18 2020 02:35:33
I0231
-
U4a1
Ekaterinovka, Samara
2910-2875 AEC
https://www.eupedia.com/genetics/yamna_culture.shtml
As a result, the Yamamama men did not come alone to the Iberian Peninsula
--------
Comparing Kit XXXXX Carlos) [FTDNA] and M226800 (I0172 EsperstedtMN) [Migration - V3 - M]
Largest segment = 4.0 cM
Total Half-Match segments (HIR) = 4.0 cM (0.110 Pct)
1 shared segments found for this comparison.
444109 SNPs used for this comparison.
55.878 Pct SNPs are full identical
Comparison took 1.208 seconds.
CPU time used: 0.126 cpu seconds.
Ver: Jun 18 2020 02:35:33
---------
Does anyone have Goyet kits?
Palermo Trapani
18-06-20, 20:38
Carlos/Salento: The Q option for one to one comparison is the Tier 1 option, correct?
Good matches btw for both of you:good_job:
Carlos/Salento: The Q option for one to one comparison is the Tier 1 option, correct?
Good matches btw for both of you:good_job:
yes, I made a distinction between the 2,
for example:
... look above, ... Otzi ... I wrote 1-to-1, and Neanderthal ... I wrote Q-Matching.
Carlos/Salento: The Q option for one to one comparison is the Tier 1 option, correct?
Good matches btw for both of you:good_job:
Thanks I really am of great antiquity.
That Q I think it is for the X chromosome many times even in my old kit or kits it says that there is no data for the X chromosome
1-to-1 Clovis Montana USA 12.5 ky
Ancient Native American (Anzick-1) (Montana Boy)
S vs Magua :grin:
https://i.imgur.com/ZoXlQRQ.gif
Palermo Trapani
19-06-20, 05:01
yes, I made a distinction between the 2,
for example:
... look above, ... Otzi ... I wrote 1-to-1, and Neanderthal ... I wrote Q-Matching.
Got it, that Q-Matching, what is the difference between the basic 1 to 1 from and the Q-Matching in Tier 1 at Gedmatch?
Got it, that Q-Matching, what is the difference between the basic 1 to 1 from and the Q-Matching in Tier 1 at Gedmatch?
.... post #2825 for differences
... You’ll match many more samples, ...
https://www.eupedia.com/forum/threads/38222-Mytrueancestry-com?p=605869&viewfull=1#post605869
https://www.gedmatch.com/Qinstructions.html
1-to-1 Clovis Montana USA 12.5 ky
Ancient Native American (Anzick-1) (Montana Boy)
S vs Magua :grin:
https://i.imgur.com/ZoXlQRQ.gif
Cool :good_job:
https://i.imgur.com/hJ2zf01.jpg
Cool :good_job:
https://i.imgur.com/hJ2zf01.jpg
Very Cool !
... It could also be the other way around, meaning that 12.5 ky ago, Clovis Montana DNA, was a bit Euro-Asian / Salentino :) maybe.
... I now belong to 2 Tribes :satisfied:
https://i.imgur.com/u9nEjb5.jpg
Palermo Trapani
19-06-20, 08:25
.... post #2825 for differences
... You’ll match many more samples, ...
https://www.eupedia.com/forum/threads/38222-Mytrueancestry-com?p=605869&viewfull=1#post605869
https://www.gedmatch.com/Qinstructions.html
Thanks Salento.
Thanks Salento.
... about the MTA map Images, ....
I forgot to add, ... if on a PC, right click on the Map image and save as “blablabla.jpg” ...
you’re changing the extension from .py to .jpg
... it works on my PC and Laptop :)
Palermo Trapani
19-06-20, 19:00
... about the MTA map Images, ....
I forgot to add, ... if on a PC, right click on the Map image and save as “blablabla.jpg” ...
you’re changing the extension from .py to .jpg
... it works on my PC and Laptop :)
Thanks again!:good_job:
Palermo Trapani
20-06-20, 19:35
Carlos/Duarte/Salento: Went ahead and got the Q for $10 for a month, much better and you can get more matches. Quick question, what is the minimum that MTA uses for it to be added to your match samples. Is it 3cm? The excel snip is just some ancient samples that I ran Q Matching, I used 1 CM as min segment size to be included and the ones highlighted in yellow are the ones >=3. I also have the MTA for Otzi vs the Q Matching for Otzi. Different Chromosomes and different Segment CM sizes between the two. I think I saw something similar for Salento's Otzi matches. Does MTA have a higher quality sample for Otzi or just a better program than the one at GEDMATCH?
122201222112222
@PT
All I know is that:
MTA claims that their Otzi sample quality score is 77 out of 100
GedMatch Otzi (T882519) scores about 50 to 60 out of 100 (I think)
GedMatch Kit T882519 has:
241.844 SNPs - all usable.
Compared to a Standard AncestryDNA Kit:
668.000 SNPs - usable 586.900 SNPs
Palermo Trapani
20-06-20, 23:27
@PT
All I know is that:
MTA claims that their Otzi sample quality score is 77 out of 100
GedMatch Otzi (T882519) scores about 50 to 60 out of 100 (I think)
GedMatch Kit T882519 has:
241.844 SNPs - all usable.
Compared to a Standard AncestryDNA Kit:
668.000 SNPs - usable 586.900 SNPs
Thanks that is good information. Thanks.
The MTA score of 77 is good. I looked at MTA site and can't find the minimum CM Segment cutoff. Do you know what it is? As I noted I have been going through and running Gedmatch Q matching, using 1 CM as cutoff (7 CM default is useless for this exercise as that that I think is when people are trying to get family trees done as even 7th/8th type cousin is about 10-13 CM segment sharing, I think??)
Thanks that is good information. Thanks.
The MTA score of 77 is good. I looked at MTA site and can't find the minimum CM Segment cutoff. Do you know what it is? As I noted I have been going through and running Gedmatch Q matching, using 1 CM as cutoff (7 CM default is useless for this exercise as that that I think is when people are trying to get family trees done as even 7th/8th type cousin is about 10-13 CM segment sharing, I think??)
... by looking at the lowest cM of your Deep Dive samples, you’ll get an Idea of MTA cM starting range :)
... around 0.5 cM (I think)
https://i.imgur.com/JqVANMS.jpg
https://i.imgur.com/GXrcjSc.jpg
https://i.imgur.com/m2tvtA3.jpg
:thinking: ... did I just find the Messapi mix ???
possibly Crete and Illyria (Wikipedia)
(... assuming that I’m partially Messapians)
probably :grin:
... It is also possible that the Messapi are the result of the merger between Cretes and, subsequently, Illyrians.
According to this, the Cretes came to Italy in the 3300 BC and Illyrians would have conquered them centuries later ...
(... Translated from the link below)
https://it.m.wikipedia.org/wiki/Messapi
Palermo Trapani
21-06-20, 01:11
... by looking at the lowest cM of your Deep Dive samples, you’ll get an Idea of MTA cM starting range :)
... around 0.5 cM (I think)
https://i.imgur.com/JqVANMS.jpg
https://i.imgur.com/GXrcjSc.jpg
https://i.imgur.com/m2tvtA3.jpg
Ok, thanks again. Hopefully MTA gets some of these earlier HG samples like La Brana (Kit M275683), Loschbour (F999918), Villabruna_WHG (M236020) and Bichon (M600205) etc to see what happens.
I get largest CM segment of 5.09 for Villabruna_HG, 4.22 for Loschbour_HG, 3.94 for Bichon and 1.75 for LaBrana. So if MTA is using 0.5 and assuming the SNP's meet their threshold, I may get some matches on those. Did you run those HG samples on GEDMATCH Q yet? If you did, I will go back in thread and check them.
Ok, thanks again. Hopefully MTA gets some of these earlier HG samples like La Brana (Kit M275683), Loschbour (F999918), Villabruna_WHG (M236020) and Bichon (M600205) etc to see what happens.
I get largest CM segment of 5.09 for Villabruna_HG, 4.22 for Loschbour_HG, 3.94 for Bichon and 1.75 for LaBrana. So if MTA is using 0.5 and assuming the SNP's meet their threshold, I may get some matches on those. Did you run those HG samples on GEDMATCH Q yet? If you did, I will go back in thread and check them.
Q-Matching @ 1cM ...
M275683 not found, using:
F999915 La Brana, Spain, 7ky:
Largest segment cM: 2.07
F999918 Loschbour, Lux., 8ky:
Largest segment cM: 3.75
M236020 Villabruna Epigravettian:
Largest segment cM: 2.76
M600205 Bichon WHG:
Largest segment cM: 2.87
Palermo Trapani
21-06-20, 02:48
Q-Matching @ 1cM ...
M275683 not found, using:
F999915 La Brana, Spain, 7ky:
Largest segment cM: 2.07
F999918 Loschbour, Lux., 8ky:
Largest segment cM: 3.75
M236020 Villabruna Epigravettian:
Largest segment cM: 2.76
M600205 Bichon WHG:
Largest segment cM: 2.87
Thanks Salento, that La Brana was M276583 (F999915 is also La Brana)? Interestingly, I get matches with the M276583 (it says La Brana WHG) and not the F999915? It seems one kit is in error?:thinking:
Thanks Salento, that La Brana was M276583 (F999915 is also La Brana)? Interestingly, I get matches with the M276583 (it says La Brana WHG) and not the F999915? It seems one kit is in error?:thinking:
.... discrepancy:
on post #2846 you wrote “La Brana (Kit M275683)”
... now you correctly posted M276583 :)
M276583 (la Brana WHG)
Largest segment cM: 2.07
Palermo Trapani
21-06-20, 03:46
Salento: Ok, thanks you get 2.07 on both. Hmm, I get M276583 to run but F999915 I get nothing? It's like an X-file, need Mulder and Scully to look into it.
Q-Matching - Largest segment
AG4512653 R1 Protovillanovia Martinsicuro 930 BC
cM: 4.09
LX9522162 SZ1 Bronze Age Szolad Hungary 1000 BC
cM: 1.69
UU6914129 SZ32
cM: 1.69 (same cM as SZ1)
BY5848416 SZ36
cM: 1.77 (@Torzio SZ36 y T1a...) :grin:
TZ5280008 SZ40
cM: 1.51
JH3368939 SZ43
cM: 1.61
SZ4327468 CL23
cM: 1.79 (@Torzio CL23 y T1a2... L446) :grin:
WU7470506 CL36
cM: 1.58
New Deep Dive, I didn't know how to sink my teeth into the British Isles.
Now I'm going to sleep maybe tomorrow I looked at the Q as Palermo Trapani has done and so check La Braña, El Mirón (La Dama roja) Villabruna e.t.c.
https://1.bp.blogspot.com/-l93qlcX_JKs/Xu7XFdjQ7BI/AAAAAAAAEBc/FAMHZzFHKIk8wLwpRbDHm4EY7WAriAqpACLcBGAsYHQ/s1600/BronzeAgeKentEnglandI2462.jpg
Palermo Trapani
21-06-20, 05:55
Q-Matching - Largest segment
AG4512653 R1 Protovillanovia Martinsicuro 930 BC
cM: 4.09
LX9522162 SZ1 Bronze Age Szolad Hungary 1000 BC
cM: 1.69
UU6914129 SZ32
cM: 1.69 (same cM as SZ1)
BY5848416 SZ36
cM: 1.77 (@Torzio SZ36 y T1a...) :grin:
TZ5280008 SZ40
cM: 1.51
JH3368939 SZ43
cM: 1.61
SZ4327468 CL23
cM: 1.79 (@Torzio CL23 y T1a2... L446) :grin:
WU7470506 CL36
cM: 1.58
Salento: Where did you get those Kit number for R1 (930 BC) [and others], is that in the supplements of the Antonio et al 2019 paper? Are they on one of the post in the Gedmatch thread 18 July 2017 (post 1) and last post 17 December 2019 (by Carlos, post 86)?
Salento: Where did you get those Kit number for R1 (930 BC) [and others], is that in the supplements of the Antonio et al 2019 paper? Are they on one of the post in the Gedmatch thread 18 July 2017 (post 1) and last post 17 December 2019 (by Carlos, post 86)?
R1 is from Antonio 2019 (.bam to combined), as a matter of fact it was the only IA file accepted by GedMatch since it changed its upload rules, maybe Jovialis tried too.
The Collegno & Szolad # are on Eupedia (credit to Tomenable)
https://www.eupedia.com/forum/threads/38478-Collegno-Longobards-on-GEDmatch-Genesis
the CL23 in the link above is UU5731879, but I posted SZ4327468 (was in a file), but I get the same results.
Palermo Trapani
21-06-20, 07:02
R1 is from Antonio 2019 (.bam to combined), as a matter of fact it was the only IA file accepted by GedMatch since it changed its upload rules, maybe Jovialis tried too.
The Collegno & Szolad # are on Eupedia (credit to Tomenable)
https://www.eupedia.com/forum/threads/38478-Collegno-Longobards-on-GEDmatch-Genesis
Ok, got it. First time I have seen someone run some of those Roman Samples on GEDMATCH. To bad they are not all there. Will check out the Collegno/Szolad samples. Thanks again.
Q-Matching 1-to-1 with R1
(Comb. R1 Kit # on Pic)
Total cM: 124.28
Largest segment cM 4.09
Total segments 95
https://i.imgur.com/4B3u1kt.gif
my complete R1 Q-Matching (Dec 2019)
Palermo Trapani
21-06-20, 15:39
Salento: Really good, those top 10 scores, all of them, indicate a strong confidence in the match! I think R1 is the oldest Iron_Age Roman.
My numbers are 26 total segments, 3.71 largest CM Segment, total CM 38.33. I need to check all my MTA matches to see what the minimum threshold for total segments is. I would think with 128 CM, R1 should already be in your MTA match.
Went looked at MTA more closely and it is Chromosome with a segment chain of at last 60 SNPs. First time I looked that closely at what seems to be the criteria they are using.
Salento: Really good, those top 10 scores, all of them, indicate a strong confidence in the match! I think R1 is the oldest Iron_Age Roman.
My numbers are 26 total segments, 3.71 largest CM Segment, total CM 38.33. I need to check all my MTA matches to see what the minimum threshold for total segments is. I would think with 128 CM, R1 should already be in your MTA match.
Went looked at MTA more closely and it is Chromosome with a segment chain of at last 60 SNPs. First time I looked that closely at what seems to be the criteria they are using.
I get a much stronger score with SZ1 than R1.
R1 has been declining steadily, and has already passed the 100 mark in almost all of my Companies Raw-Data, and I rarely get a Deep Dive match with it after a new upload.
... as of now, SZ1 rules my Deep Dive results:
https://i.imgur.com/BgoVje9.jpg
https://i.imgur.com/sarGH17.jpg
Palermo Trapani
22-06-20, 03:48
Salento: Interesting, I guess MTA is using a different calculator with different algorithm to measure matched segments. One reason I like to calibrate for example distance matches with different calculators.
I guess as new samples come in, ones that are closer to you genetically are coming in an R1 is moving closer to your outlier post 100 samples. Still good match in my view.
Genius Matches
(Genographic Project)
... twice Napoleon :grin:
... backup your NatGeo data or by the end of the month you’ll lose everything !
https://i.imgur.com/Hw4OCzY.gif
My favorite Genius Match is Jesse James (Outlaw Genius), lol
... Born in Missouri in 1847, Jesse Woodson James seemed destined to be a minister.
Instead, by age 16, he and his brother Frank were robbing banks and trains, attacking Union troops and killing supporters of Abraham Lincoln as part of the Quantrill Raiders gang.
In the decade following the Civil War, James’s criminal career rose steeply, and he became a national figure.
He was killed in 1882 by one of his own gang members, Robert Ford, who received a pardon in turn for the killing ...
(Robert Ford was a coward, imo)
Q-Matching Archaic vs Archaic
Neanderthal vs Denisova
Total cM: 64.00
Largest segment cM: 3.32
Total segments: 42
Neanderthal vs Otzi
Total cM: 3.45
Largest segment cM: 2.29
Total segments: 2
Denisova vs Otzi
Total cM: 2.11
Largest segment cM: 2.11
Total segments: 1
# F999902 Neanderthal
# F999903 Denisova
# T882519 Otzi
Those are really great Q scores. I've found distant cousins with 110.
Carlos vs La Braña
Software Version May 25 2020 18:28:07
Comparing Kit xxxxxxxx (Carlos) [FTDNA] and M276583 (la Braña WHG) [Migration - V3 - M]
Precision: 30.0
cM threshold: 2.0
Maximum cM: No Limit
Gap threshold: 2.0 cM's
All SNPs used.
Total cM: 10.02
Largest segment cM: 2.91
Total segments: 4
Total gap-induced breaks: 2
Max gap: 2.16
..... gap: 44881336-70984372 on chromosome 9
Top 10 Q scores:
Q-score: 25.00
Q-score: 12.00
Q-score: 8.00
Q-score: 0.00
Comparison took 0.902 seconds.
CPU time used: 0.885 cpu seconds.
Ver: May 25 2020 18:28:07
Carlos vs Villabruna
Software Version May 25 2020 18:28:07
Comparing Kit xxxxxx (Carlos) [FTDNA] and M236020 (Villabruna Epigravettian) [Migration - V3 - M]
Precision: 30.0
cM threshold: 4.0
Maximum cM: No Limit
Gap threshold: 2.0 cM's
All SNPs used.
Total cM: 4.26
Largest segment cM: 4.26
Total segments: 1
Total gap-induced breaks: 3
Max gap: 2.20
..... gap: 44866028-71040170 on chromosome 9
Comparison took 0.751 seconds.
CPU time used: 0.738 cpu seconds.
Ver: May 25 2020 18:28:07
Both on chromosome 9
Carlos vs Ice man
Software Version May 25 2020 18:28:07
Comparing Kit xxxxx (Carlos) [FTDNA] and T882519 (Iceman_2) [Migration - F2 - T]
Precision: 30.0
cM threshold: 7.0
Maximum cM: No Limit
Gap threshold: 2.0 cM's
All SNPs used.
Total cM: 7.54
Largest segment cM: 7.54
Total segments: 1
Total gap-induced breaks: 11
Max gap: 10.16
..... gap: 28097278-33277809 on chromosome 15
Comparison took 0.638 seconds.
CPU time used: 0.635 cpu seconds.
Ver: May 25 2020 18:28:07
Q-Matching:
Salento_me vs Delia (Ostuni-1 Grevettian-Italy) Puglia - Salento
Delia, was a 20 year old Salentina from 24.000 years ago, probably pregnancy complications caused her death, ... sad :(
https://www.ostunithewhitecity.com/images-puglia/museo-archeologico-civilta-preclassiche-della-murgia-meridionale-la-donna-di-ostuni.jpg
Total cM 9.09
Larg. seg. cM 3.66
https://i.imgur.com/hAczF6m.jpg
... DELIA, DONNA INFELICE DI 24 MILA ANNI FA ...
https://ricerca.repubblica.it/repubblica/archivio/repubblica/1992/10/29/delia-donna-infelice-di-24-mila-anni.html
Vahaduo Eurogenes K15 Ancient - Some very ancient selected samples on Vahaduo EU K15 Ancient.
Source
CheddarMan,36.94,25.01,31.25,6.68,0.01,0.01,0.01,0 .01,0.01,0.01,0.01,0.01,0.12,0.01,0.01
ENAMorocco_IAM5,0.01,0.01,0.01,0.01,22.16,0.01,4.7 6,27.64,0.01,0.01,0.01,0.01,0.01,34.68,10.75
Guanche_11,0.01,12.69,0.01,0.01,24.73,0.01,23.27,1 8.15,0.01,0.01,0.01,0.01,0.19,13.56,7.41
Guanche_5,9.80,16.64,0.09,0.01,29.00,0.01,14.44,14 .85,0.01,0.01,0.01,0.01,0.01,1.07,14.12
HallstattCelt_DA111,27.24,37.08,11.16,2.57,16.44,1 .89,2.57,0.88,0.01,0.01,0.01,0.01,0.01,0.01,0.01
HallstattCelt_DA112,29.68,20.62,21.14,9.58,13.95,0 .13,2.21,0.01,0.01,0.01,0.01,1.66,1.03,0.01,0.01
Iberia_Pre_BellBeaker_Chalcolithic_ATP16,4.94,38.8 0,0.01,0.01,56.23,0.01,0.01,0.01,0.01,0.01,0.01,0. 01,0.01,0.01,0.01
IberiaChalcolithic_I1281,11.39,38.28,0.01,0.01,50. 33,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0. 01
IberiaChalcolithic_I1303,2.09,42.04,0.01,0.01,55.8 7,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.0 1
IberiaMBA_ATP9,17.71,44.44,0.50,0.01,37.36,0.01,0. 01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01
Kostenki14,18.82,12.35,6.50,9.70,9.79,0.01,0.01,5. 72,17.41,1.35,0.65,4.74,5.11,5.18,2.66
MakoCultureHungary_BR1,24.43,27.92,25.18,2.93,19.5 3,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.0 1
MalakPreslavets_I0700,27.85,21.36,16.25,0.01,34.54 ,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01
Malta,15.92,0.01,6.54,38.03,0.01,0.01,0.01,0.01,20 .29,0.01,0.01,18.62,0.11,0.01,0.47
MBA_Portugal_MG104,21.62,36.04,2.26,0.01,40.09,0.0 1,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01
MBA_Portugal_TV32032,17.30,42.99,0.07,0.01,39.65,0 .01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01
MBA_Portugal_TV3831,20.01,38.46,0.32,0.01,40.12,0. 01,0.85,0.25,0.01,0.01,0.01,0.01,0.01,0.01,0.01
Mota1,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01 ,0.01,0.01,0.82,0.37,79.08,19.73
Motala_12(Sweden),39.23,6.82,28.88,25.08,0.01,0.01 ,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01
NE1_Starcevo(Hungary),1.99,20.82,2.37,0.01,39.84,0 .01,30.99,3.98,0.01,0.01,0.01,0.01,0.01,0.01,0.01
Neolithic_Baikal,0.01,0.01,0.01,0.51,0.01,0.01,0.0 1,0.01,0.01,27.33,66.45,5.71,0.01,0.01,0.01
NeolithicGACFarmer_RISE1168,17.70,26.87,7.97,0.01, 42.29,0.01,5.17,0.01,0.01,0.01,0.01,0.01,0.01,0.01 ,0.01
NeolithicIreland,8.66,32.65,2.85,0.01,43.20,0.01,6 .82,3.23,0.01,0.43,0.01,0.01,0.01,1.36,0.80
NeolithicOrkneyIslander_I2630,10.12,30.24,0.01,0.0 1,49.20,0.01,7.99,2.44,0.01,0.01,0.01,0.01,0.01,0. 01,0.01
NeolithicScotland_I2634,16.75,26.19,0.01,0.01,45.9 8,0.01,8.10,2.90,0.01,0.01,0.01,0.01,0.01,0.08,0.0 1
NeolithicScotland_I2636,7.66,32.29,0.50,0.01,46.78 ,0.01,9.19,2.23,0.01,0.31,0.01,0.01,0.01,0.01,0.01
NeolithicScotland_I7554,10.28,32.68,0.01,0.01,44.3 4,0.01,7.79,4.36,0.01,0.01,0.01,0.01,0.55,0.01,0.0 1
NeolithicUkraine_I1736,33.45,7.35,25.71,28.63,0.01 ,0.01,0.01,0.01,0.01,0.01,0.01,4.87,0.01,0.01,0.01
Ostuni1,16.67,23.82,20.88,6.67,14.71,0.01,0.01,0.0 1,4.86,0.01,0.01,1.26,3.97,0.72,6.43
Sintashta_RISE386,40.12,22.98,12.31,14.66,0.01,7.7 8,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,2.15
Sintashta_RISE395,36.65,23.25,15.22,19.87,0.01,5.0 0,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01
SpaintheChalcolithic_I1300,11.88,32.74,0.01,0.01,5 3.76,0.01,0.01,1.62,0.01,0.01,0.01,0.01,0.01,0.01, 0.01
Srubnaya_I0232,30.54,19.79,26.74,18.99,0.01,11.24, 0.01,0.01,2.70,0.01,0.01,0.01,0.01,0.01,0.01
Srubnaya_I0423,38.13,28.19,17.05,16.64,0.01,0.01,0 .01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01
Srubnaya_I0430,44.78,14.27,12.66,17.26,0.35,10.02, 0.01,0.01,0.48,0.01,0.01,0.19,0.01,0.01,0.01
SteppeEBA2,6.89,0.01,6.45,28.83,0.01,0.01,0.01,0.0 1,13.78,0.01,24.93,18.82,0.30,0.01,0.01
Sunghir6,18.96,15.20,28.11,23.84,8.77,3.46,0.90,0. 01,0.01,0.01,0.01,0.66,0.10,0.01,0.01
Taforalt1,0.01,0.01,0.01,0.01,13.10,0.01,8.25,26.2 6,0.01,3.31,0.01,2.15,2.63,35.61,8.69
Taforalt2,0.01,0.01,0.01,0.01,13.57,0.01,8.49,26.5 2,0.01,1.29,1.33,2.69,1.79,35.82,8.52
UkrainianNeolithicFarmer_I1926,14.48,14.66,8.30,0. 01,39.62,0.01,18.34,4.00,0.01,0.01,0.01,0.01,0.60, 0.01,0.01
Yamnaya_I0231,31.51,0.01,10.56,31.96,0.01,17.71,0. 01,0.01,4.54,0.01,0.01,3.73,0.01,0.01,0.01
Yamnaya_I0443,29.24,5.30,11.38,27.67,0.01,20.05,0. 01,0.01,3.48,0.01,0.01,2.88,0.01,0.01,0.01
Yamnaya_RISE548,35.57,1.54,13.43,33.10,0.01,15.86, 0.01,0.01,0.01,0.01,0.01,0.50,0.01,0.01,0.01
Yamnaya_RISE552,30.97,0.01,12.10,28.81,0.01,21.90, 0.01,0.01,4.51,0.01,0.01,1.72,0.01,0.01,0.01
YamnayaKaragash_EBA,32.36,0.43,11.39,25.09,0.01,20 .21,0.01,0.01,5.79,0.01,0.01,4.74,0.01,0.01,0.01
Single Results
Distance to:
Duarte
18.42923764
HallstattCelt_DA111
19.60294876
NeolithicGACFarmer_RISE1168
20.93491342
MBA_Portugal_MG104
21.06248561
MalakPreslavets_I0700
22.02730578
MBA_Portugal_TV3831
22.83701600
NeolithicScotland_I2634
23.39445661
Ostuni1
23.43648438
NeolithicIreland
23.81669582
UkrainianNeolithicFarmer_I1926
23.82541500
Guanche_5
24.22304894
NeolithicScotland_I7554
24.54988187
MakoCultureHungary_BR1
24.58457647
IberiaMBA_ATP9
24.97231267
MBA_Portugal_TV32032
25.61249305
HallstattCelt_DA112
27.07580100
NeolithicScotland_I2636
27.81068320
NeolithicOrkneyIslander_I2630
30.51063421
Kostenki14
31.58526239
IberiaChalcolithic_I1281
32.81161532
SpaintheChalcolithic_I1300
34.11883644
NE1_Starcevo(Hungary)
35.59597730
Guanche_11
36.77020941
Sintashta_RISE386
37.41652576
Srubnaya_I0423
37.74018680
Sintashta_RISE395
Mixed mode results
https://i.imgur.com/PB8nxnk.png
https://i.imgur.com/WjUmXjm.png
The Beast :grin:
my Total Neanderthal superpowers / results
https://i.imgur.com/dC9CsCn.gif
https://i.imgur.com/u43RnJT.jpg
https://i.imgur.com/Ud9v0fg.jpg
https://i.imgur.com/Lr4Zywb.jpg
https://i.imgur.com/i5uc5sb.jpg
T947885 (*Ostuni1-Grevettian-Italy)
Total cM: 0.78
Largest segment cM: 0.78
Total segments: 1
Total gap-induced breaks: 5
Max gap: 3.01
..... gap: 38771831-71137232 on chromosome 9
Comparison took 0.601 seconds.
CPU time used: 0.597 cpu seconds.
Ver: May 25 2020 18:28:07
Minimum segment cM size
to be included in total:
(Leave blank for default value = 2)
https://1.bp.blogspot.com/-gpSRcpFUBhU/XvNOO2tf4jI/AAAAAAAAEB0/u-ESt1pHVv0fh3d4AYZe4rodu1k__9MqgCLcBGAsYHQ/s640/R1ProtovillanoviaMartinsicuro.jpeg
https://1.bp.blogspot.com/-rqAndo79vi8/XvNQM4wf83I/AAAAAAAAECA/sl6gp96CsxQv-pGKm1pxL4L5ItqgGpzCQCLcBGAsYHQ/s1600/Altai.Nsiberia.jpeg
Palermo Trapani
24-06-20, 15:12
Salento: That Neanderthal admixture of 1.8% in post #2867, where did that estimate come from. Is that from YourDNAportal?
Comparing Kit [GeneByGene] and M276583 (la Brana WHG) [Migration - V3 - M]
Total cM: 76.55
Largest segment cM: 3.93
Total segments: 50
Total gap-induced breaks: 2
Max gap: 2.16
..... gap: 44881336-70984372 on chromosome 9
Top 10 Q scores:
Q-score: 38.00
Q-score: 23.00
Q-score: 21.00
Q-score: 19.00
Q-score: 18.00
Q-score: 17.00
Q-score: 16.00
Q-score: 14.00
Q-score: 13.00
Q-score: 12.00
The Beast :grin:
my Total Neanderthal superpowers / results
https://i.imgur.com/dC9CsCn.gif
https://i.imgur.com/u43RnJT.jpg
https://i.imgur.com/Ud9v0fg.jpg
https://i.imgur.com/Lr4Zywb.jpg
https://i.imgur.com/i5uc5sb.jpg
@Salento
My YourDNAportal Neanderthal Traits.
https://i.imgur.com/jS1J7Fl.png
https://i.imgur.com/nj79Ckg.png
https://i.imgur.com/dRAut20.png
https://i.imgur.com/dA3vYnM.png
https://i.imgur.com/VSazS7Q.png
Salento: That Neanderthal admixture of 1.8% in post #2867, where did that estimate come from. Is that from YourDNAportal?
Insitome, a Spencer Wells related site,
It will shut down for good in a couple of weeks,
(NatGeo in one week)
... got this email yesterday:
... “Unfortunately Insitome's story ends here,
As of July 15th, 2020 it will no longer be possible to access the Insitome website to view your results.“ ...
@Carlos @Duarte ... do you feel the Beast in you?
I do ! :-)
Insitome, a Spencer Wells related site,
@Duarte ... do you feel the Beast in you?
I do ! :-)
Oftentimes I feel him. I always have to keep him under control. When the beast decides to go for a walk, causes much damages, included to himself, lol, lol :laughing:
Palermo Trapani
24-06-20, 17:00
Insitome, a Spencer Wells related site,
It will shut down for good in a couple of weeks,
(NatGeo in one week)
... got this email yesterday:
... “Unfortunately Insitome's story ends here,
As of July 15th, 2020 it will no longer be possible to access the Insitome website to view your results.“ ...
@Carlos @Duarte ... do you feel the Beast in you?
I do ! :-)
Ok, so the 1.8% is this Insitome sight and the 1.4% is from Nat Geo.
Palermo Trapani
24-06-20, 17:04
Duarte: In your post 2871, which DNA testing company is that Neanderthal analysis done. I used my Ancestry DNA and it seems it has fewer Neanderthal alleles in the file. The way I read the output the Myportal's comparisons are done for your dna vs. other dna kits from the same Testing company. So for example, the chart with Min, mean, my plot and max is based on all Ancestry DNA kits that have done the mydnaportal Neanderthal estimate. Does that sound right?
Ok, so the 1.8% is this Insitome site and the 1.4% is from Nat Geo.
You’re correct,
... my back hair results: :laughing: yourDNAportal,
and the Denisovan / Neanderthal: Ethnogene.
Duarte: In your post 2871, which DNA testing company is that Neanderthal analysis done. I used my Ancestry DNA and it seems it has fewer Neanderthal alleles in the file. The way I read the output the Myportal's comparisons are done for your dna vs. other dna kits from the same Testing company. So for example, the chart with Min, mean, my plot and max is based on all Ancestry DNA kits that have done the mydnaportal Neanderthal estimate. Does that sound right?
Hi @PT. MyHeritage Helth + Ancestry. Maybe the Ancestry results (autosomal ancestry results of MyHeritage ‘Helth + Ancestry’ kit test) are not so good, because many SNPs are absent and there is a Jew bias that affects people of south Italy, for example, due to overlapping that cause bad autosomal results. On the other hand, there are much more markers (SNPs) for traits and health
Palermo Trapani
24-06-20, 17:21
Salento: First I have heard of this Insitome site. Are they affiliated with NATGENO or is it another company that you can upload your DNA Kit and they do a Neanderthal estimate. Ethnogene is another one not familiar with.
Palermo Trapani
24-06-20, 17:30
Hi @PT. MyHeritage Helth + Ancestry. Maybe the Ancestry results are not so good, because many SNPs are absent and there is a Jew bias that affects people of south Italy, for example, due to overlapping that cause bad autosomal results. On the other hand, there are much more markers (SNPs) for traits and health
Interesting. I noticed your mydnaportal Neanderthal estimates were based out of 5,538 alleles analyzed, when I did the analysis mine was done on only 4,504 (I had 1,472 out the 4,504). So it seems there are some Neanderthal alleles that Ancestry did not screen for and put in my AncestryDNA kit. Which I guess is why Ancestry does not give a Neanderthal estimate in their report, not one of their main focuses. I have my DNA from NatGENO which does do a Neanderthal estimate (I get 1.4% there) but seeing some of the results here, I was wondering what the results would be with another company and calculator. For example, I see Salento gets 1.4% to 1.8%. I always l like to calibrate results best I can.
Interesting. I noticed your mydnaportal Neanderthal estimates were based out of 5,538 alleles analyzed, when I did the analysis mine was done on only 4,504 (I had 1,472 out the 4,504). So it seems there are some Neanderthal alleles that Ancestry did not screen for and put in my AncestryDNA kit. Which I guess is why Ancestry does not give a Neanderthal estimate in their report, not one of their main focuses. I have my DNA from NatGENO which does do a Neanderthal estimate (I get 1.4% there) but seeing some of the results here, I was wondering what the results would be with another company and calculator. For example, I see Salento gets 1.4% to 1.8%. I always l like to calibrate results best I can.
@PT
I think your perception is correct. :good_job:
PS: See that I am referring to the bad results of autosomal ancestry displayed by algorithm of MyHeritage ‘Helth + Ancestry’ kit test
Salento: First I have heard of this Insitome site. Are they affiliated with NATGENO or is it another company that you can upload your DNA Kit and they do a Neanderthal estimate.
no upload,
helix.com ... if you tested with NatGeo in the US in the last year or two, chances are you already have an account with them.
... but now, Insito and NatGeo are OUT!
Palermo Trapani
24-06-20, 17:46
helix.com ... if you tested with NatGeo in the US in the last year or two, chances are you already have an account with them.
... but now, Insito and NatGeo are OUT!
Got it, Yes I did test with NatGEO. What is your thoughts on why Insito and NatGeo give different estimates, they are close and again we are dealing with estimates, but you can say you have 1.4%-1.8% Neanderthal based on NatGENO and Insito estimates, which is kind of neat. So maybe NatGeo was being very conservtative with their Neanderthal estimates.
Palermo Trapani
24-06-20, 17:47
@PT
I think your perception is correct. :good_job:
PS: See that I am referring to the bad results of autosomal ancestry displayed by algorithm of MyHeritage ‘Helth + Ancestry’ kit test
Duarte: Ok, thanks for the confirmation. Cheers.
Got it, Yes I did test with NatGEO. What is your thoughts on why Insito and NatGeo give different estimates, they are close and again we are dealing with estimates, but you can say you have 1.4%-1.8% Neanderthal based on NatGENO and Insito estimates, which is kind of neat. So maybe NatGeo was being very conservtative with their Neanderthal estimates.
... got Insitome after NatGeo, ... probably they had updated data,
also Insitome made specific oriented deeper testing, I think, ... like Neanderthal or Metabolism, ...
https://www.eupedia.com/forum/threads/34722-Metabolism-(Hunter-Farmer-Traits)-Results-Insitome
Insitome, a Spencer Wells related site,
It will shut down for good in a couple of weeks,
(NatGeo in one week)
... got this email yesterday:
... “Unfortunately Insitome's story ends here,
As of July 15th, 2020 it will no longer be possible to access the Insitome website to view your results.“ ...
@Carlos @Duarte ... do you feel the Beast in you?
I do ! :-)
Yes I can feel it really it is implacable but susceptible to change, before I believed that it was not possible but it can be, it is possible. I want to be holy
The beast is an illusion, I have realized it thanks to Gematch Q machine
I will pray for your salvation
I really tell you that the world is an illusion
Vahaduo Eurogenes K15 Ancient - Some very ancient selected samples on Vahaduo EU K15 Ancient.
Single Results
Distance to:
Duarte
18.42923764
HallstattCelt_DA111
19.60294876
NeolithicGACFarmer_RISE1168
20.93491342
MBA_Portugal_MG104
21.06248561
MalakPreslavets_I0700
22.02730578
MBA_Portugal_TV3831
22.83701600
NeolithicScotland_I2634
23.39445661
Ostuni1
23.43648438
NeolithicIreland
23.81669582
UkrainianNeolithicFarmer_I1926
23.82541500
Guanche_5
24.22304894
NeolithicScotland_I7554
24.54988187
MakoCultureHungary_BR1
24.58457647
IberiaMBA_ATP9
24.97231267
MBA_Portugal_TV32032
25.61249305
HallstattCelt_DA112
27.07580100
NeolithicScotland_I2636
27.81068320
NeolithicOrkneyIslander_I2630
30.51063421
Kostenki14
31.58526239
IberiaChalcolithic_I1281
32.81161532
SpaintheChalcolithic_I1300
34.11883644
NE1_Starcevo(Hungary)
35.59597730
Guanche_11
36.77020941
Sintashta_RISE386
37.41652576
Srubnaya_I0423
37.74018680
Sintashta_RISE395
Mixed mode results
https://i.imgur.com/PB8nxnk.png
https://i.imgur.com/WjUmXjm.png
Interesting. Vahaduo Eurogenes K13 Ancient. Selected ancient samples (From Iron Age I included only Scythians and Celtiberians, I think)
Single
Distance to:
Duarte
9.35986111
I1297_Bulgaria_MP_N_7817_ybp
9.38127923
RISE373_Hungary_Maros.SG_3741_ybp
10.22253393
I3594_Germany_Bell_Beaker_4175_ybp
10.31173118
E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp
10.33732074
I6539_Iberia_Bell_Beaker_4200_ybp
10.49689002
I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
10.59535275
ScythianMoldova_SCY300_Moldova_397-209_BC
10.92836218
ValeOuro10207_Iberia_MBA.SG_3550_ybp
11.23770884
TV3831_Iberia_MBA.SG_3550_ybp
11.36704007
I7040_Hungary_BA_4300_ybp
11.39293202
I7283_Czech_Bell_Beaker_mother.I7282_4200_ybp
11.75059573
I5524_Germany_Bell_Beaker_4250_ybp
12.01761208
RISE374_Hungary_Maros.SG_3693_ybp
12.08741494
ScythianMoldova_SCY197_Moldova_288502632_BC
12.24470089
RISE247_Hungary_Vatya.SG_3629_ybp
12.43741131
I3759_Celtiberian_I3759_Celtiberian_m_
12.49886795
I5665_Iberia_Bell_Beaker_4250_ybp
12.72367478
RISE483_Hungary_Vatya.SG_3700_ybp
12.84255426
I4331_Croatia_MBA_3526_ybp
12.86862075
I5520_Germany_Bell_Beaker_4250_ybp
13.02838823
I3590_Germany_Bell_Beaker_4191_ybp
13.04102757
I3757_Celtiberian_I3757_Celtiberian_U_
13.07183231
I1388_France_Bell_Beaker_lowSteppe_4246_ybp
13.08541555
I4332_Croatia_MBA_3516_ybp
13.26701172
I3313_Croatia_Early_IA_2733_ybp
13.31448084
I5759_Switzerland_Bell_Beaker_4178_ybp
13.42779207
I1108_Bulgaria_MP_N_7875_ybp
13.48362711
ATP9_Iberia_BA.SG_3634_ybp
13.63250527
I6582_Poland_Bell_Beaker_4151_ybp
13.69212547
I0461_Iberia_Bell_Beaker_4278_ybp
13.75295968
I3758_Celtiberian_U_
13.78548875
RISE484_Hungary_Vatya.SG_3700_ybp
14.13153212
I7044_Hungary_Bell_Beaker_4300_ybp
14.17406787
I2364_Hungary_Bell_Beaker_EBA_4215_ybp
14.25187005
esp005_Iberia_BA.SG_3370_ybp
14.39650305
I7041_Hungary_BA_brother.I7043_4300_ybp
14.72247941
Kvarlov5164_Sweden_TRB_MN_5746_ybp
14.75764209
I7045_Hungary_Bell_Beaker_4250_ybp
14.87310996
TV32032extra_Iberia_MBA.SG_3550_ybp
14.99268155
I6472_Iberia_Bell_Beaker_4250_ybp
15.06774369
ILK001_Ukraine_Globular_Amphora_4753_ybp
15.07815639
I4885_Czech_Bell_Beaker_4166_ybp
15.16537504
I0700_Bulgaria_MP_N_1d.rel.I1108_7934_ybp
15.18174232
N38_Poland_GAC.SG_5033_ybp
15.25815520
I7043_Hungary_BA_4000_ybp
15.31261571
ILK002_Ukraine_Globular_Amphora_4752_ybp
15.38655582
scy192_scythian_2863_2503bce_
15.45022330
I2462_England_CA_EBA_3960_ybp
15.75023809
I2440_Poland_Globular_Amphora_4950_ybp
15.92215752
I1979_Italy_Bell_Beaker_4015_ybp
16.31059472
I2416_England_Bell_Beaker_4285_ybp
16.75635402
ILK003_Ukraine_Globular_Amphora_4752_ybp
16.95457755
I5835_Germany_Bell_Beaker_father.or.son.I1533_4200 _ybp
16.98684491
I6623_Iberia_Bell_Beaker_4250_ybp
17.25848777
I3499_Croatia_Starcevo_EN_o_4725_ybp
17.36513173
I3588_Germany_Bell_Beaker_4175_ybp
17.56602972
I4945_Czech_Bell_Beaker_4168_ybp
17.76350472
I6624_Germany_Bell_Beaker_4200_ybp
17.89370280
I2441_Poland_Globular_Amphora_5050_ybp
18.11289044
I0113_Germany_Bell_Beaker_4140_ybp
18.12545448
I7289_Czech_Bell_Beaker_sibling.I7214_4300_ybp
18.20548269
I2788_Hungary_Protoboleraz_LCA_5730_ybp
18.24643527
MonteGato104_Iberia_MBA.SG_3535_ybp
18.36841583
ScythianMoldova_SCY311_Moldova_389-204_BC
18.79478119
Neolithic_GAC_Farmer0_Globular_Amphora_Culture_(GA C)_RISE1168_Koszyce_Southern_Poland_
18.87433972
I7282_Czech_Bell_Beaker_4200_ybp
18.94875722
I6591_Germany_Bell_Beaker_4200_ybp
19.15240455
I2433_Poland_Globular_Amphora_4950_ybp
19.29031882
I4887_Czech_Bell_Beaker_brother.I4888_4070_ybp
19.34942118
I1593_Germany_Blatterhohle_MN_5601_ybp
19.38234248
I2165_Bulgaria_EBA_4908_ybp
19.53318202
scy305_Moldova_Scythian.SG_2254_ybp
19.56898822
I1563_Germany_Blatterhohle_MN_5361_ybp
19.57796210
RISE480_Hungary_Vatya.SG_3550_ybp
19.61092553
scy300_Moldova_Scythian.SG_2253_ybp
19.78270962
I2478_Beaker_North_Italy_I2478_
19.81924822
I7214_Czech_Bell_Beaker_4200_ybp
19.82062814
I2403_Poland_Globular_Amphora_4673_ybp
19.88565061
I2110_Ukraine_Trypillian_5735_ybp
20.23789762
RISE1241_Neolithic_Poland_5kya_
20.49548975
I2175_Bulgaria_EBA_5122_ybp
20.55524751
I0108_Germany_Bell_Beaker_4387_ybp
20.72642999
I4946_Czech_Bell_Beaker_4172_ybp
20.87662329
I4886_Czech_Bell_Beaker_4074_ybp
21.08329433
I2176_Bulgaria_EBA_published_5132_ybp
21.31793376
I6759_England_N_5536_ybp
21.34183685
scy197_Moldova_Scythian.SG_1650_ybp
21.38905795
ValeOuro_10207_PT_BA_ValeOuro_10207_
21.42376017
Gökhem2_Sweden_3000_BC
21.51508308
N18_Poland_TRB.SG_5463_ybp
21.52859029
I5232_Serbia_Iron_Gates_HG_o_7901_ybp
21.74067156
I4891_Czech_Bell_Beaker_4122_ybp
21.78873103
I1926_Ukraine_Trypillia_Eneolithic_5736_ybp
21.79542613
I0406_Iberia_MN_5700_ybp
21.80445138
I2520_Bulgaria_EBA_5132_ybp
21.91825723
I5529_Germany_Bell_Beaker_4250_ybp
21.93568098
I4124_Germany_Bell_Beaker_4284_ybp
21.93975615
I6590_Germany_Bell_Beaker_4200_ybp
21.95250783
I6750_England_N_5658_ybp
22.02337622
N42_Poland_BKG_o2.SG_6055_ybp
22.17465445
I4229_Iberia_Bell_Beaker_4150_ybp
22.20919629
I2659_Scotland_N_5652_ybp
22.25853769
I3041_Scotland_N_5440_ybp
22.36930039
I0560_Germany_Baalberge_MN_5458_ybp
22.40588092
BR2_Hungary_1200_BC
22.42356796
N20_Poland_TRB.SG_5462_ybp
22.47632532
I1113_Bulgaria_MP_N_7983_ybp
22.51278081
I7554_Scotland_N_5185_ybp
22.56548692
I0840_Iberia_Bell_Beaker_4279_ybp
22.57091934
I7278_Czech_Bell_Beaker_4350_ybp
22.59100263
Bul6_Bulgaria_Beli_Breyag_EBA_4450_ybp
22.60026991
por002_Iberia_C.SG_5091_ybp
22.61338099
MBA_Portugal_TV32032_Portugal_1740-1430_BC
22.67065063
I7275_Czech_Bell_Beaker_4200_ybp
22.69048038
I4888_Czech_Bell_Beaker_4060_ybp
22.73839924
I2988_Scotland_N_5389_ybp
22.74837137
I3133_Scotland_N_5455_ybp
22.86534058
I7213_Czech_Bell_Beaker_4250_ybp
22.97848559
bally_Ireland_MN.SG_5132_ybp
23.07784869
I7276_Czech_Bell_Beaker_4200_ybp
23.10339585
I3529_Hungary_Bell_Beaker_EBA_4300_ybp
23.10572007
I1388_Beaker_South_France_I1388_
23.11225433
I5371_Scotland_N_5600_ybp
23.30386663
I3135_Scotland_N_5463_ybp
23.39718359
I2741_Hungary_Bell_Beaker_EBA_o_4256_ybp
Mixed
https://i.imgur.com/DvDTUxe.png
https://i.imgur.com/flk7Zug.png
Eurogenes K13 ANCIENT
Distance to:
karlos
5.10717143
I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp
7.11132196
I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
7.83455168
R1289_Lazio_Rome_Medieval_Italy
7.87906086
FN2_Germany_Late_Roman.SG_1650_ybp
8.35882767
I8203_iberia_
8.50519841
CL94_Italy_Langobard_1345_ybp
8.76953248
R435b_Lazio_Rome_Roman_Republic
8.86972378
I1297_Bulgaria_MP_N_7817_ybp
8.88054615
I8209_iberia_
8.88649537
France_BA_NIED
9.00251076
RomanSoldier_FN2_Munich_Germany_300_AD
9.18943415
I3590_Germany_Bell_Beaker_4191_ybp
9.29275524
R37_Lazio_Rome_Roman_Imperial
9.30588523
I7283_Czech_Bell_Beaker_mother.I7282_4200_ybp
9.71030895
R63_Lazio_Rome_Medieval_Italy
9.73888084
I5520_Germany_Bell_Beaker_4250_ybp
9.77630810
R109_Lazio_Rome_Italy_Late_Antiquity
9.90558428
I3757_Celtiberian_I3757_Celtiberian_U_
9.95295434
I8214_iberia_
9.95797168
I3759_Celtiberian_I3759_Celtiberian_m_
9.96173178
I12649_low_quality_
10.04996020
ValeOuro10207_Iberia_MBA.SG_3550_ybp
10.15764737
France_BA_PSS4170
10.29980097
Crusader_SI40_Kingdom_of_Jerusalem_
10.31932168
France_BA_EUG11
10.35004348
pir001_Iberia_BA.SG_3725_ybp
10.39875473
I0461_Iberia_Bell_Beaker_4278_ybp
10.41947695
I8339_iberia_
10.46929797
France_IA_Jeb8
10.50278058
I6582_Poland_Bell_Beaker_4151_ybp
10.55629196
I10866_iberia_
10.73659164
France_IA_COL153i
10.73695488
esp005_Iberia_BA.SG_3370_ybp
10.76664293
France_BA_QUIN234
10.91349165
I3758_Celtiberian_U_
10.91585544
I5665_Iberia_Bell_Beaker_4250_ybp
11.06195281
I6539_Iberia_Bell_Beaker_4200_ybp
11.41686472
I2462_England_CA_EBA_3960_ybp
11.67138809
R116_Lazio_Rome_Roman_Imperial
11.94400687
I6472_Iberia_Bell_Beaker_4250_ybp
12.07842705
France_BA_RIX15
12.09480054
ATP9_Iberia_BA.SG_3634_ybp
12.37619489
E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp
12.67468737
I6623_Iberia_Bell_Beaker_4250_ybp
12.77838409
RISE484_Hungary_Vatya.SG_3700_ybp
12.79051602
R474b_Civitavecchia_Etruscan._Iron_Age
12.83925621
TV3831_Iberia_MBA.SG_3550_ybp
12.85010895
France_IA_PECH5
12.97778101
I12516_iberia_
13.25573084
RISE373_Hungary_Maros.SG_3741_ybp
Eurogenes K13 ANCIENT
Distance to:
karlos
5.10717143
I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp
7.11132196
I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
7.83455168
R1289_Lazio_Rome_Medieval_Italy
7.87906086
FN2_Germany_Late_Roman.SG_1650_ybp
8.35882767
I8203_iberia_
8.50519841
CL94_Italy_Langobard_1345_ybp
8.76953248
R435b_Lazio_Rome_Roman_Republic
8.86972378
I1297_Bulgaria_MP_N_7817_ybp
8.88054615
I8209_iberia_
8.88649537
France_BA_NIED
9.00251076
RomanSoldier_FN2_Munich_Germany_300_AD
9.18943415
I3590_Germany_Bell_Beaker_4191_ybp
9.29275524
R37_Lazio_Rome_Roman_Imperial
9.30588523
I7283_Czech_Bell_Beaker_mother.I7282_4200_ybp
9.71030895
R63_Lazio_Rome_Medieval_Italy
9.73888084
I5520_Germany_Bell_Beaker_4250_ybp
9.77630810
R109_Lazio_Rome_Italy_Late_Antiquity
9.90558428
I3757_Celtiberian_I3757_Celtiberian_U_
9.95295434
I8214_iberia_
9.95797168
I3759_Celtiberian_I3759_Celtiberian_m_
9.96173178
I12649_low_quality_
10.04996020
ValeOuro10207_Iberia_MBA.SG_3550_ybp
10.15764737
France_BA_PSS4170
10.29980097
Crusader_SI40_Kingdom_of_Jerusalem_
10.31932168
France_BA_EUG11
10.35004348
pir001_Iberia_BA.SG_3725_ybp
10.39875473
I0461_Iberia_Bell_Beaker_4278_ybp
10.41947695
I8339_iberia_
10.46929797
France_IA_Jeb8
10.50278058
I6582_Poland_Bell_Beaker_4151_ybp
10.55629196
I10866_iberia_
10.73659164
France_IA_COL153i
10.73695488
esp005_Iberia_BA.SG_3370_ybp
10.76664293
France_BA_QUIN234
10.91349165
I3758_Celtiberian_U_
10.91585544
I5665_Iberia_Bell_Beaker_4250_ybp
11.06195281
I6539_Iberia_Bell_Beaker_4200_ybp
11.41686472
I2462_England_CA_EBA_3960_ybp
11.67138809
R116_Lazio_Rome_Roman_Imperial
11.94400687
I6472_Iberia_Bell_Beaker_4250_ybp
12.07842705
France_BA_RIX15
12.09480054
ATP9_Iberia_BA.SG_3634_ybp
12.37619489
E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp
12.67468737
I6623_Iberia_Bell_Beaker_4250_ybp
12.77838409
RISE484_Hungary_Vatya.SG_3700_ybp
12.79051602
R474b_Civitavecchia_Etruscan._Iron_Age
12.83925621
TV3831_Iberia_MBA.SG_3550_ybp
12.85010895
France_IA_PECH5
12.97778101
I12516_iberia_
13.25573084
RISE373_Hungary_Maros.SG_3741_ybp
Vahaduo Eurogenes K13 Ancient - All samples
Single
Distance to:
Duarte
6.09658921
I0588_Tanzania_Zanzibar_First_Millenium_1150_ybp
8.24038227
Crusader_SI40_Kingdom_of_Jerusalem_
8.25348411
I12516_iberia_
8.34394990
R63_Lazio_Rome_Medieval_Italy
8.62376368
R435b_Lazio_Rome_Roman_Republic
8.92209617
CL94_Italy_Langobard_1345_ybp
9.25470151
R1021_Lazio_Frosinone_Iron_Age_Latini
9.35311713
R109_Lazio_Rome_Italy_Late_Antiquity
9.35986111
I1297_Bulgaria_MP_N_7817_ybp
9.38127923
RISE373_Hungary_Maros.SG_3741_ybp
9.61570590
FN2_Germany_Late_Roman.SG_1650_ybp
9.63605210
I12649_low_quality_
9.75201518
R1289_Lazio_Rome_Medieval_Italy
9.78364452
R474b_Civitavecchia_Etruscan._Iron_Age
10.04314194
R110_Lazio_Rome_Italy_Late_Antiquity
10.22253393
I3594_Germany_Bell_Beaker_4175_ybp
10.30758459
France_BA_PIR3037AB
10.31173118
E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp
10.33732074
I6539_Iberia_Bell_Beaker_4200_ybp
10.40913061
France_BA_QUIN234
10.49689002
I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
10.51228805
I7498_Muslim_Iberian_1000_1100_CE_E1b1b1a1b1a_H3a1 _
10.51353889
I10866_iberia_
10.59535275
ScythianMoldova_SCY300_Moldova_397-209_BC
10.80609550
I8339_iberia_
10.84090863
R473_Civitavecchia_Etruscan._Iron_Age
10.92836218
ValeOuro10207_Iberia_MBA.SG_3550_ybp
11.07161235
I12515_iberia_
11.07891691
I12514_iberia_
11.13212019
R851_Lazio_Rome_Iron_Age_Latini
11.23770884
TV3831_Iberia_MBA.SG_3550_ybp
11.36704007
I7040_Hungary_BA_4300_ybp
11.38740532
France_IA_NOR4
11.39293202
I7283_Czech_Bell_Beaker_mother.I7282_4200_ybp
11.49215385
RomanSoldier_FN2_Munich_Germany_300_AD
11.74247844
R1016_Lazio_Rome_Iron_Age_Latini
11.75059573
I5524_Germany_Bell_Beaker_4250_ybp
11.86957876
R37_Lazio_Rome_Roman_Imperial
12.01761208
RISE374_Hungary_Maros.SG_3693_ybp
12.08741494
ScythianMoldova_SCY197_Moldova_288502632_BC
12.24470089
RISE247_Hungary_Vatya.SG_3629_ybp
12.25692457
R1015_Lazio_Rome_Iron_Age_Villanovan
12.32550202
I7425_morisco_
12.35917473
France_IA_Jeb8
12.37697863
pir001_Iberia_BA.SG_3725_ybp
12.43741131
I3759_Celtiberian_I3759_Celtiberian_m_
12.46138034
I12647_iberia_
12.49886795
I5665_Iberia_Bell_Beaker_4250_ybp
12.68363513
I8203_iberia_
12.72367478
RISE483_Hungary_Vatya.SG_3700_ybp
12.79567114
France_BA_PSS4170
12.80741972
France_BA_NIED
12.84255426
I4331_Croatia_MBA_3526_ybp
12.86862075
I5520_Germany_Bell_Beaker_4250_ybp
12.88222419
R116_Lazio_Rome_Roman_Imperial
12.92003483
I12644_Muslim_Iberian_1100_1300_CE_
13.02838823
I3590_Germany_Bell_Beaker_4191_ybp
13.04102757
I3757_Celtiberian_I3757_Celtiberian_U_
13.07183231
I1388_France_Bell_Beaker_lowSteppe_4246_ybp
13.08541555
I4332_Croatia_MBA_3516_ybp
13.26033936
France_BA_EUG11
Interesting. Vahaduo Eurogenes K13 Ancient. Selected ancient samples (From Iron Age I included only Scythians and Celtiberians, I think)
Single
Distance to:
Duarte
9.35986111
I1297_Bulgaria_MP_N_7817_ybp
9.38127923
RISE373_Hungary_Maros.SG_3741_ybp
10.22253393
I3594_Germany_Bell_Beaker_4175_ybp
10.31173118
E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp
10.33732074
I6539_Iberia_Bell_Beaker_4200_ybp
10.49689002
I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
10.59535275
ScythianMoldova_SCY300_Moldova_397-209_BC
10.92836218
ValeOuro10207_Iberia_MBA.SG_3550_ybp
11.23770884
TV3831_Iberia_MBA.SG_3550_ybp
11.36704007
I7040_Hungary_BA_4300_ybp
11.39293202
I7283_Czech_Bell_Beaker_mother.I7282_4200_ybp
11.75059573
I5524_Germany_Bell_Beaker_4250_ybp
12.01761208
RISE374_Hungary_Maros.SG_3693_ybp
12.08741494
ScythianMoldova_SCY197_Moldova_288502632_BC
12.24470089
RISE247_Hungary_Vatya.SG_3629_ybp
12.43741131
I3759_Celtiberian_I3759_Celtiberian_m_
12.49886795
I5665_Iberia_Bell_Beaker_4250_ybp
12.72367478
RISE483_Hungary_Vatya.SG_3700_ybp
12.84255426
I4331_Croatia_MBA_3526_ybp
12.86862075
I5520_Germany_Bell_Beaker_4250_ybp
13.02838823
I3590_Germany_Bell_Beaker_4191_ybp
13.04102757
I3757_Celtiberian_I3757_Celtiberian_U_
13.07183231
I1388_France_Bell_Beaker_lowSteppe_4246_ybp
13.08541555
I4332_Croatia_MBA_3516_ybp
13.26701172
I3313_Croatia_Early_IA_2733_ybp
13.31448084
I5759_Switzerland_Bell_Beaker_4178_ybp
13.42779207
I1108_Bulgaria_MP_N_7875_ybp
13.48362711
ATP9_Iberia_BA.SG_3634_ybp
13.63250527
I6582_Poland_Bell_Beaker_4151_ybp
13.69212547
I0461_Iberia_Bell_Beaker_4278_ybp
13.75295968
I3758_Celtiberian_U_
13.78548875
RISE484_Hungary_Vatya.SG_3700_ybp
14.13153212
I7044_Hungary_Bell_Beaker_4300_ybp
14.17406787
I2364_Hungary_Bell_Beaker_EBA_4215_ybp
14.25187005
esp005_Iberia_BA.SG_3370_ybp
14.39650305
I7041_Hungary_BA_brother.I7043_4300_ybp
14.72247941
Kvarlov5164_Sweden_TRB_MN_5746_ybp
14.75764209
I7045_Hungary_Bell_Beaker_4250_ybp
14.87310996
TV32032extra_Iberia_MBA.SG_3550_ybp
14.99268155
I6472_Iberia_Bell_Beaker_4250_ybp
15.06774369
ILK001_Ukraine_Globular_Amphora_4753_ybp
15.07815639
I4885_Czech_Bell_Beaker_4166_ybp
15.16537504
I0700_Bulgaria_MP_N_1d.rel.I1108_7934_ybp
15.18174232
N38_Poland_GAC.SG_5033_ybp
15.25815520
I7043_Hungary_BA_4000_ybp
15.31261571
ILK002_Ukraine_Globular_Amphora_4752_ybp
15.38655582
scy192_scythian_2863_2503bce_
15.45022330
I2462_England_CA_EBA_3960_ybp
15.75023809
I2440_Poland_Globular_Amphora_4950_ybp
15.92215752
I1979_Italy_Bell_Beaker_4015_ybp
16.31059472
I2416_England_Bell_Beaker_4285_ybp
16.75635402
ILK003_Ukraine_Globular_Amphora_4752_ybp
16.95457755
I5835_Germany_Bell_Beaker_father.or.son.I1533_4200 _ybp
16.98684491
I6623_Iberia_Bell_Beaker_4250_ybp
17.25848777
I3499_Croatia_Starcevo_EN_o_4725_ybp
17.36513173
I3588_Germany_Bell_Beaker_4175_ybp
17.56602972
I4945_Czech_Bell_Beaker_4168_ybp
17.76350472
I6624_Germany_Bell_Beaker_4200_ybp
17.89370280
I2441_Poland_Globular_Amphora_5050_ybp
18.11289044
I0113_Germany_Bell_Beaker_4140_ybp
18.12545448
I7289_Czech_Bell_Beaker_sibling.I7214_4300_ybp
18.20548269
I2788_Hungary_Protoboleraz_LCA_5730_ybp
18.24643527
MonteGato104_Iberia_MBA.SG_3535_ybp
18.36841583
ScythianMoldova_SCY311_Moldova_389-204_BC
18.79478119
Neolithic_GAC_Farmer0_Globular_Amphora_Culture_(GA C)_RISE1168_Koszyce_Southern_Poland_
18.87433972
I7282_Czech_Bell_Beaker_4200_ybp
18.94875722
I6591_Germany_Bell_Beaker_4200_ybp
19.15240455
I2433_Poland_Globular_Amphora_4950_ybp
19.29031882
I4887_Czech_Bell_Beaker_brother.I4888_4070_ybp
19.34942118
I1593_Germany_Blatterhohle_MN_5601_ybp
19.38234248
I2165_Bulgaria_EBA_4908_ybp
19.53318202
scy305_Moldova_Scythian.SG_2254_ybp
19.56898822
I1563_Germany_Blatterhohle_MN_5361_ybp
19.57796210
RISE480_Hungary_Vatya.SG_3550_ybp
19.61092553
scy300_Moldova_Scythian.SG_2253_ybp
19.78270962
I2478_Beaker_North_Italy_I2478_
19.81924822
I7214_Czech_Bell_Beaker_4200_ybp
19.82062814
I2403_Poland_Globular_Amphora_4673_ybp
19.88565061
I2110_Ukraine_Trypillian_5735_ybp
20.23789762
RISE1241_Neolithic_Poland_5kya_
20.49548975
I2175_Bulgaria_EBA_5122_ybp
20.55524751
I0108_Germany_Bell_Beaker_4387_ybp
20.72642999
I4946_Czech_Bell_Beaker_4172_ybp
20.87662329
I4886_Czech_Bell_Beaker_4074_ybp
21.08329433
I2176_Bulgaria_EBA_published_5132_ybp
21.31793376
I6759_England_N_5536_ybp
21.34183685
scy197_Moldova_Scythian.SG_1650_ybp
21.38905795
ValeOuro_10207_PT_BA_ValeOuro_10207_
21.42376017
Gökhem2_Sweden_3000_BC
21.51508308
N18_Poland_TRB.SG_5463_ybp
21.52859029
I5232_Serbia_Iron_Gates_HG_o_7901_ybp
21.74067156
I4891_Czech_Bell_Beaker_4122_ybp
21.78873103
I1926_Ukraine_Trypillia_Eneolithic_5736_ybp
21.79542613
I0406_Iberia_MN_5700_ybp
21.80445138
I2520_Bulgaria_EBA_5132_ybp
21.91825723
I5529_Germany_Bell_Beaker_4250_ybp
21.93568098
I4124_Germany_Bell_Beaker_4284_ybp
21.93975615
I6590_Germany_Bell_Beaker_4200_ybp
21.95250783
I6750_England_N_5658_ybp
22.02337622
N42_Poland_BKG_o2.SG_6055_ybp
22.17465445
I4229_Iberia_Bell_Beaker_4150_ybp
22.20919629
I2659_Scotland_N_5652_ybp
22.25853769
I3041_Scotland_N_5440_ybp
22.36930039
I0560_Germany_Baalberge_MN_5458_ybp
22.40588092
BR2_Hungary_1200_BC
22.42356796
N20_Poland_TRB.SG_5462_ybp
22.47632532
I1113_Bulgaria_MP_N_7983_ybp
22.51278081
I7554_Scotland_N_5185_ybp
22.56548692
I0840_Iberia_Bell_Beaker_4279_ybp
22.57091934
I7278_Czech_Bell_Beaker_4350_ybp
22.59100263
Bul6_Bulgaria_Beli_Breyag_EBA_4450_ybp
22.60026991
por002_Iberia_C.SG_5091_ybp
22.61338099
MBA_Portugal_TV32032_Portugal_1740-1430_BC
22.67065063
I7275_Czech_Bell_Beaker_4200_ybp
22.69048038
I4888_Czech_Bell_Beaker_4060_ybp
22.73839924
I2988_Scotland_N_5389_ybp
22.74837137
I3133_Scotland_N_5455_ybp
22.86534058
I7213_Czech_Bell_Beaker_4250_ybp
22.97848559
bally_Ireland_MN.SG_5132_ybp
23.07784869
I7276_Czech_Bell_Beaker_4200_ybp
23.10339585
I3529_Hungary_Bell_Beaker_EBA_4300_ybp
23.10572007
I1388_Beaker_South_France_I1388_
23.11225433
I5371_Scotland_N_5600_ybp
23.30386663
I3135_Scotland_N_5463_ybp
23.39718359
I2741_Hungary_Bell_Beaker_EBA_o_4256_ybp
Mixed
https://i.imgur.com/DvDTUxe.png
https://i.imgur.com/flk7Zug.png
Vahaduo Eurogenes K13 Ancient - 1733 ancient samples
Data Source
https://drive.google.com/file/d/1sVGGUw7Azg58pucwNnhNQG3f9R33A9JB/view?usp=sharing
Single
Distance to:
Duarte
6.09658921
I0588_Tanzania_Zanzibar_First_Millenium_European_o utlier_1150_ybp
8.24038227
Crusader_SI40_Kingdom_of_Jerusalem_
8.25348411
I12516_iberia_PortugueseCordobaCalifate_SE_Iberia_ c.10-16CE
8.34394990
R63_Lazio_Rome_Medieval_Italy
8.62376368
R435b_Lazio_Rome_Roman_Republic
8.92209617
CL94_Italy_Langobard_1345_ybp
9.25470151
R1021_Lazio_Frosinone_Iron_Age_Latini
9.35311713
R109_Lazio_Rome_Italy_Late_Antiquity
9.35986111
I1297_Bulgaria_MP_N_7817_ybp
9.38127923
RISE373_Hungary_Maros.SG_3741_ybp
9.61570590
FN2_Germany_Late_Roman.SG_1650_ybp
9.63605210
I12649_MedievalTaifaofValencia_
9.75201518
R1289_Lazio_Rome_Medieval_Italy
9.78364452
R474b_Civitavecchia_Etruscan._Iron_Age
10.04314194
R110_Lazio_Rome_Italy_Late_Antiquity
10.22253393
I3594_Germany_Bell_Beaker_4175_ybp
10.30758459
France_BA_PIR3037AB
10.31173118
E09538_Germany_Germany_Bell_Beaker_Augsburg_4288_y bp
10.33732074
I6539_Iberia_Bell_Beaker_4200_ybp
10.40913061
France_BA_QUIN234
10.49689002
I6581_Poland_Bell_Beaker_father.I6582_father.I6535 _4251_ybp
10.51353889
I10866_iberia_GalloRomanCeltMixIberia
10.59535275
ScythianMoldova_SCY300_Moldova_397-209_BC
10.80609550
I8339_iberia_RomanEraGirona
10.84090863
R473_Civitavecchia_Etruscan._Iron_Age
Mixed
https://i.imgur.com/rAfK0oN.png
https://i.imgur.com/Rqbpaaf.png
MTA - My results (main) after upgrade in last weekend.
https://i.imgur.com/GmWv7JM.png
https://i.imgur.com/Lvy755f.png
https://i.imgur.com/MfXoXx0.png
https://i.imgur.com/HlcRNSf.jpg
https://i.imgur.com/iDS2MTD.png
https://i.imgur.com/7MMe5Bf.png
Palermo Trapani
26-06-20, 16:40
Duarte: Regarding your post 2890, is your at MTA "Olympus"? Those results are really interesting, very nice and neat results and well presented. How did you get the results presented like that. I have always used Snip tool but I can't post jpeg images, I get quota limit, etc. I think other people have had issues with that as well.
Duarte: Regarding your post 2890, is your at MTA "Olympus"? Those results are really interesting, very nice and neat results and well presented. How did you get the results presented like that. I have always used Snip tool but I can't post jpeg images, I get quota limit, etc. I think other people have had issues with that as well.
Hi dear friend @PT. I am not an Olimpus yet. My actual level is Zeus+. These are my active functions. Cheers.
https://i.imgur.com/1Spqx6F.jpg
https://i.imgur.com/Mpducme.jpg
Palermo Trapani
26-06-20, 19:13
Duarte: Ok, you used the Lighting bolt1 with your Zeus level. Thanks.
Carlos/Duarte/Salento: Went ahead and got the Q for $10 for a month, much better and you can get more matches. Quick question, what is the minimum that MTA uses for it to be added to your match samples. Is it 3cm? The excel snip is just some ancient samples that I ran Q Matching, I used 1 CM as min segment size to be included and the ones highlighted in yellow are the ones >=3. I also have the MTA for Otzi vs the Q Matching for Otzi. Different Chromosomes and different Segment CM sizes between the two. I think I saw something similar for Salento's Otzi matches. Does MTA have a higher quality sample for Otzi or just a better program than the one at GEDMATCH?
122201222112222
I've heard of everything. There are those who say that cM threshold: 3.0 is noise. In Otzi I get it without touching it on 7 and yet MTA has not given it to me; Although it may appear later, I have some sample that was in MTA from the beginning and Deep Dive has appeared to me much later, even months.
https://1.bp.blogspot.com/-su79OsUGeR8/XvNeb3cP69I/AAAAAAAAEC0/AW2wkZXkC7M2nz1GFn60CxmFecz_oe-tgCLcBGAsYHQ/s1600/Iceman.jpeg
I've heard of everything. There are those who say that cM threshold: 3.0 is noise. In Otzi I get it without touching it on 7 and yet MTA has not given it to me; Although it may appear later, I have some sample that was in MTA from the beginning and Deep Dive has appeared to me much later, even months.
https://1.bp.blogspot.com/-su79OsUGeR8/XvNeb3cP69I/AAAAAAAAEC0/AW2wkZXkC7M2nz1GFn60CxmFecz_oe-tgCLcBGAsYHQ/s1600/Iceman.jpeg
... if a 3 cM Largest Segment with Otzi is noise, then a 44+ cM is a Sonic Boom :grin:
https://i.imgur.com/gWGTT0Z.jpg
https://i.imgur.com/8cE0Bq1.jpg
https://1.bp.blogspot.com/-su79OsUGeR8/XvNeb3cP69I/AAAAAAAAEC0/AW2wkZXkC7M2nz1GFn60CxmFecz_oe-tgCLcBGAsYHQ/s1600/Iceman.jpeg
@Salento If this doesn't make them deaf
I get Otzi on chromosome 8 and on chromosome 8 I get these matches. I have not missed Europe for half a minute or they give me what is mine or they give me my money back I am not to lose a decade or more due to anyone's strange agendas and this goes for all the meising darchin or whatever you call this whole move
https://1.bp.blogspot.com/-FewgcKXdu_c/XvmhMTXanPI/AAAAAAAAENg/X34j1Y0CMpIj-z2EdSa7Wat5DdZy6TJ5gCLcBGAsYHQ/s640/CROMAotzi.jpg
https://1.bp.blogspot.com/-NQYxbStPy7Q/XvmhScV3CJI/AAAAAAAAENk/lGnaP5EeJ64Q5TEFsjt-WOVpgwGhZf52ACLcBGAsYHQ/s1600/CROMAotzi2.jpeg
@Salento If this doesn't make them deaf
I get Otzi on chromosome 8 and on chromosome 8 I get these matches. I have not missed Europe for half a minute or they give me what is mine or they give me my money back I am not to lose a decade or more due to anyone's strange agendas and this goes for all the meising darchin or whatever you call this whole move
https://1.bp.blogspot.com/-FewgcKXdu_c/XvmhMTXanPI/AAAAAAAAENg/X34j1Y0CMpIj-z2EdSa7Wat5DdZy6TJ5gCLcBGAsYHQ/s640/CROMAotzi.jpg
https://1.bp.blogspot.com/-NQYxbStPy7Q/XvmhScV3CJI/AAAAAAAAENk/lGnaP5EeJ64Q5TEFsjt-WOVpgwGhZf52ACLcBGAsYHQ/s1600/CROMAotzi2.jpeg
@Carlos ... the more Hunter you are, the less Otzi you get, I think.
::: from National Geographic:
Italy & Southern Europe:
The Iceman, Otzi, is a descendant from the first farmers to have arrived in the Italian peninsula, which may have harbored remnant hunter-gatherer populations during the Pleistocene who resettled Northern Europe with the glacier retreats ...
https://i.imgur.com/WBpR9Xf.jpg
https://i.imgur.com/egjqHLb.jpg
https://i.imgur.com/AdCFDHp.jpg
https://i.imgur.com/7YLeOVs.jpg
Palermo Trapani
29-06-20, 16:07
Salento/Carlos: In regards to post 2894-2897 discussion, what could be going on with Carlos and Otzi is that Otzi is in the outlier samples. Just a guess on my part. Carlos, from me just looking at your Chroma analysis, you have "lots of matches from other parts of Europe" so maybe Otzi as Salento noted being more EEF from Italian peninsula might not make your top 100 matches. Did you try clicking on the top outlier option and seeing if Otzi's Kit number or reference sample shows up?
Salento/Carlos: In regards to post 2894-2897 discussion, what could be going on with Carlos and Otzi is that Otzi is in the outlier samples. Just a guess on my part. Carlos, from me just looking at your Chroma analysis, you have "lots of matches from other parts of Europe" so maybe Otzi as Salento noted being more EEF from Italian peninsula might not make your top 100 matches. Did you try clicking on the top outlier option and seeing if Otzi's Kit number or reference sample shows up?
@Palermo @Salento
Right now my outliers are these.
137. Post-Reconquista Granada
147. Scythian Southern Moldova
188. North Roman Warrior
194. Roman Outlier Lombard Grave
209. Medieval Taifa of Valencia
214. Post-Roman Era Barcelona
216. Hungary Late Avar Szekkutas-Kapolnadulo
219. Late-Roman Era Montefrio Granada
222. Hispano-Roman Taifa of Valencia
224. Frankish-Gallic Lombard Grave
225. Bell Beaker Haunstetten Germany
233. Celtic Briton Gladiator York
236. Kornice Bronze Age Poland
238. Iberian Taifa of Valencia
239. Copper Age Iberia
241. Thuringii Tribe
242. Central Roman
244. Swiss Germanic
249. Medieval Denmark Odense
I have enough hunter but I have more farmer, really hunter life only that was not life
Palermo Trapani
29-06-20, 17:05
@Palermo @Salento
Right now my outliers are these.
137. Post-Reconquista Granada
147. Scythian Southern Moldova
188. North Roman Warrior
194. Roman Outlier Lombard Grave
209. Medieval Taifa of Valencia
214. Post-Roman Era Barcelona
216. Hungary Late Avar Szekkutas-Kapolnadulo
219. Late-Roman Era Montefrio Granada
222. Hispano-Roman Taifa of Valencia
224. Frankish-Gallic Lombard Grave
225. Bell Beaker Haunstetten Germany
233. Celtic Briton Gladiator York
236. Kornice Bronze Age Poland
238. Iberian Taifa of Valencia
239. Copper Age Iberia
241. Thuringii Tribe
242. Central Roman
244. Swiss Germanic
249. Medieval Denmark Odense
I have enough hunter but I have more farmer, really hunter life only that was not life
Carlos: So you have Zeus option with Lighting bolts? How many matches does your level give you. I have Zeus so I get top 100 and then top outlier analysis gives me top ones but only up to 150, and I don't see all 50 outliers . So you could have Otzi in some of your non "unique outliers" to you as MTA calls it. They show me 15 top outliers but the first one they show me is my #108 from 468 BC Ancient Lebanon SFI-42 (so some Phoenician type ancestry there) and then 113 ( Roman R70) and then 121 (Bronze Age Anatolia from 2650 BC, I2499), etc. So MTA shows 15 top outliers and then they kind of tease you with "5 hidden outliers" For example, number 146 for me is Minoan I0074, which they label as hidden (but we all know who I0074 is), my number 149 match is Medieval Sardinia sample I12221. So of my top 50 outliers (matches 101 to 150), I know who 15 are and can figure out who 5 are, but there are still top 30 outliers that I don't have an idea who they are. I hope this makes sense, if you need me to clarify anything, please ask.
Sorry I can't post images but I hit my quota. I posted lots of stuff in two recent threads regarding Genetic structure of Italians and Sicilians-Pre Greek. So the "Force is no longer with me", need Obi One to help out!!
@PT https://imgur.com/
upload your images ... and then get a link ...
Easy with the PC, get the ‘BBCode’ link, copy and paste.
Palermo Trapani
29-06-20, 18:09
@PT https://imgur.com/
upload your images ... and then get a link ...
Easy with the PC, get the ‘BBCode’ link.
Ok, imgur. Thanks Salento
Palermo Trapani
29-06-20, 18:44
:good_job:Salento: I think this will work. So MTA top outliers or (unique ones), 30 of them are still hidden so need to upgrade or buy a lightning bolt to see them. Anyway, thanks for the imgur suggestion.
http://i.imgur.com/hfiv7Ic.jpg (https://imgur.com/hfiv7Ic)
http://i.imgur.com/qV1PyBV.jpg (http://http://i.imgur.com/qV1PyBV.jpg)
Hi folks. Nice @PT.
[email protected]. Good afternoon. :good_job:
Love you buddies. I prefer Ötzi, of course. He is a very charming EEF and much more real than an artistic representing.
https://i.imgur.com/LRcaqyg.jpg
But I like the WHG, also. Love their tanned skin. :grin:
I am going to the beach, after pandemic. I want to be equal to the artistic representation of this viril WHG.
https://i.imgur.com/OREFbKN.jpg
I'm ready to start a virtual work meeting now at 3:30 pm with my coworkers (my community or my tribe. I don't really know what that means, lol, :laughing:).
Cheers ;)
Palermo Trapani
29-06-20, 20:22
Hello Duarte: That is La Brana WHG, or forensic artist rendition of him, correct? Personally I think that rendition of WHG is much more accurate than others I have seen. Facial and Hair phenotypes are all European/ Eurasian just with dark tan. So help my memory, La Brana did not have SLC24A5 AA and SLC45A2 GG (I think those are correct) but did have the allele for OCA2 for blue eyes?
Hello Duarte: That is La Brana WHG, or forensic artist rendition of him, correct? Personally I think that rendition of WHG is much more accurate than others I have seen. Facial and Hair phenotypes are all European/ Eurasian just with dark tan. So help my memory, La Brana did not have SLC24A5 AA and SLC45A2 GG (I think those are correct) but did have the allele for OCA2 for blue eyes?
Yes. You’re right. The artistic representation is of La Brana. I have no deep matches with him. But I have many deep matches with Louschbour in the Gedmatch Deep Dive, which has a similar fenotype to LaBrana.
Cheers
Palermo Trapani
29-06-20, 20:42
Duarte: Ok thanks!
Duarte: Ok thanks!
PS: As for blue eyes, I have many doubts about these artistic representations. This phenotype is not dominant among modern Europeans, even among those more loaded with WHG. The phenotypic composition of the color of the eyes is much more complex than that indicate by a single gene. My older brother has solid amber eyes (beautiful eyes). My late sister did have light brown eyes, with deposits of the pigment eumelanin (yellow) on the outside of the iris. We are uterine brothers with very different eye colors.
Palermo Trapani
29-06-20, 21:10
Duarte: Well I agree I think it is hard to predict phenotypes that far back. There was a thread about Alleles for Skin Pigmentation and eyes base on a pre-print article by Ian Mathieson who was been involved in several papers on ancient ancestry from West Eurasia. I think that rendition was based on the findings from the paper by Olade et al. 2014 "Derived immune and ancestral pigmentation alleles in a 7,000-year-old Mesolithic European" which suggested darker pigment and blue eyes. You are correct, this phenotype is no longer in Europe as the authors state "The genotypic combination leading to a predictedphenotype of dark skin and non-brown eyes is unique and no longer present in contemporary European populations." (page 227).
Carlos: So you have Zeus option with Lighting bolts? How many matches does your level give you. I have Zeus so I get top 100 and then top outlier analysis gives me top ones but only up to 150, and I don't see all 50 outliers . So you could have Otzi in some of your non "unique outliers" to you as MTA calls it. They show me 15 top outliers but the first one they show me is my #108 from 468 BC Ancient Lebanon SFI-42 (so some Phoenician type ancestry there) and then 113 ( Roman R70) and then 121 (Bronze Age Anatolia from 2650 BC, I2499), etc. So MTA shows 15 top outliers and then they kind of tease you with "5 hidden outliers" For example, number 146 for me is Minoan I0074, which they label as hidden (but we all know who I0074 is), my number 149 match is Medieval Sardinia sample I12221. So of my top 50 outliers (matches 101 to 150), I know who 15 are and can figure out who 5 are, but there are still top 30 outliers that I don't have an idea who they are. I hope this makes sense, if you need me to clarify anything, please ask.
Sorry I can't post images but I hit my quota. I posted lots of stuff in two recent threads regarding Genetic structure of Italians and Sicilians-Pre Greek. So the "Force is no longer with me", need Obi One to help out!!
bolt V and bolt Vl 25 more samples each. It is too much not going to stop I would never wait for an offer, we'll see.
ratchet_fan
29-06-20, 21:31
Hello Duarte: That is La Brana WHG, or forensic artist rendition of him, correct? Personally I think that rendition of WHG is much more accurate than others I have seen. Facial and Hair phenotypes are all European/ Eurasian just with dark tan. So help my memory, La Brana did not have SLC24A5 AA and SLC45A2 GG (I think those are correct) but did have the allele for OCA2 for blue eyes?
I made a thread abut this but many Northern Europeans have features that for a lack of a better words are "less sharp" than La Brana. Do you think this is a later northern adaptation or related to ENA in steppe and such?
Palermo Trapani
29-06-20, 21:35
bolt V and bolt Vl 25 more samples each. It is too much not going to stop I would never wait for an offer, we'll see.
Carlos:
I will probably get around to buying some bolts. But it looks like they are $49 dollars per bolt (5 Bolt Levels), unless the cost per bolt decreases as you buy a new Bolt. Still, I doubt that the total cost of the 5 Bolts will be less than upgrading to Olympus which is $149 dollars (incremental cost above what I have already paid for Zeus) From what I gathered reading the Olympus description, the Olympus level seems to allow you to take the ancient samples and make a Kit for them and do I guess autosomal type one to one comparison similar to one to one GEDMATCH comparisons. I doubt you can take the KIT you created for an ancient sample and download it and run it on various Dodecad, MDLP, Eurogenes Calculators. But maybe you can.
Palermo Trapani
29-06-20, 22:16
I made a thread abut this but many Northern Europeans have features that for a lack of a better words are "less sharp" than La Brana. Do you think this is a later northern adaptation or related to ENA in steppe and such?
Hey ratchet_fan: Well to be honest, that is a question that I haven't given much thought to. There is some evidence of Ancient Asian admixture into Northern Europe/Scandanavia, or maybe some parts of it, I think the extant research has documented that. But I have tried to stay in my own Lane so to speak here at Eupedia. So in that context, I tend to only drop in and post on forums dealing with Italian DNA broadly defined (Ancient Rome, Mesolithic Italy, Ancient Sicily, and modern Italian DNA studies) and Ancient Greece (since I have based on MTA 6 DNA matches from the samples used by Lazaridis et al 2017 paper). If I venture from the "Lanes" noted above, I will post on Iberian forums as I have gotten to know Carlos and Duarte well here and I will maybe post on archaic DNA forums.
So I would rather not speculate on what happened in Northern Europe before reading much more on it. But my general understanding (and that is all it is) is that it seems that since Northern Europeans have more ANE/EHG/Steppe type ancestry, which is pretty well established across numerous studies, some ancient Asian admixture is there? . It seems way way way back, American Indian/South American Indians also have some ancient ANE type ancestry from ancient Siberia, which I guess your "ENA" is referring to in Steppe, since some ancient Asian admixture was in Russia during Mesolithic period, which of course, predates the Steppe migration, some may have arrived via Steppe and is part of the ancestry of some modern Northern Europeans (maybe Estonia and Finland, perhaps others?) Just from reading some of your posts, you seem much more in tune to what happened North of the Alps and more so in Scandinavia that I do. So again, nothing I wrote in my 2nd paragraph is meant to be a definitive statement by me as I said, not my Lane that I drive in here.
This is a recent paper that I briefly read and it documents in one Steppe site dating to about 1,700 BC, the ancestry was 25% East Asian from some Siberian Hunter Gatherers. I think this paper is the first one to use Western Siberian Hunter Gather (WSHG) and Eastern Siberian Hunter Gather (ESHG). There is a thread about this paper. However, as I noted, I stay in my own Lane so I did not comment on the paper in the thread, but as I noted, I did read over the paper.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822619/
Cheers
PS: As for blue eyes, I have many doubts about these artistic representations. This phenotype is not dominant among modern Europeans, even among those more loaded with WHG. The phenotypic composition of the color of the eyes is much more complex than that indicate by a single gene. My older brother has solid amber eyes (beautiful eyes). My late sister did have light brown eyes, with deposits of the pigment eumelanin (yellow) on the outside of the iris. We are uterine brothers with very different eye colors.
Excuse me dear friends. I made a little bit error in this post (and maybe a great mistake because we are talking about genetics). My siblings and I are blood brothers (children of the same father and mother) and not uterine brothers (children of the same mother and different father). Sorry.:grin:
When I posted I was worried about the work meeting I was going to participate in. I didn't focused to what I was writing.:startled:
Palermo Trapani
29-06-20, 23:45
Excuse me dear friends. I made a little bit error in this post (and maybe a great mistake because we are talking about genetics). My siblings and I are blood brothers (children of the same father and mother) and not uterine brothers (children of the same mother and different father). Sorry.:grin:
When I posted I was worried about the work meeting I was going to participate in. I didn't focused to what I was writing.:startled:
Ok, I hope your Mother didn't read that post before you edited it:good_job: :grin:, LOL.
@Salento.
When I started here at Eupedia I believed to to have a bastard ancestral (one or more then one). 600,000 Portuguese arrived in the Captaincy of Minas Gerais in the middle of the 18th century, the largest European immigration to the Americas in colonial times. They arrived to organize the administration and definitively submit the Captaincy of Minas Gerais to the control of the Portuguese Crown. It was the gold rush. A few adventurers from other European countries also came. There weren't many, but they were there. Colonial America: I believe in all possibilities. But I believe that my autosomal DNA and my yDNA attest quite conclusively to a predominant ancestry of the northwest and northeast of the Iberian Peninsula. The possibility of a bastard ancestor in colonial Portuguese America, until proven otherwise, is ruled out. :thinking:
It will be? :grin:
Excuse me dear friends. I made a little bit error in this post (and maybe a great mistake because we are talking about genetics). My siblings and I are blood brothers (children of the same father and mother) and not uterine brothers (children of the same mother and different father). Sorry.:grin:
When I posted I was worried about the work meeting I was going to participate in. I didn't focused to what I was writing.:startled:
I believe you :grin:
I believe you :grin:
Thank you. I feel better now :grin::laughing::good_job:
ratchet_fan
30-06-20, 00:14
Hey ratchet_fan: Well to be honest, that is a question that I haven't given much thought to. There is some evidence of Ancient Asian admixture into Northern Europe/Scandanavia, or maybe some parts of it, I think the extant research has documented that. But I have tried to stay in my own Lane so to speak here at Eupedia. So in that context, I tend to only drop in and post on forums dealing with Italian DNA broadly defined (Ancient Rome, Mesolithic Italy, Ancient Sicily, and modern Italian DNA studies) and Ancient Greece (since I have based on MTA 6 DNA matches from the samples used by Lazaridis et al 2017 paper). If I venture from the "Lanes" noted above, I will post on Iberian forums as I have gotten to know Carlos and Duarte well here and I will maybe post on archaic DNA forums.
So I would rather not speculate on what happened in Northern Europe before reading much more on it. But my general understanding (and that is all it is) is that it seems that since Northern Europeans have more ANE/EHG/Steppe type ancestry, which is pretty well established across numerous studies, some ancient Asian admixture is there? . It seems way way way back, American Indian/South American Indians also have some ancient ANE type ancestry from ancient Siberia, which I guess your "ENA" is referring to in Steppe, since some ancient Asian admixture was in Russia during Mesolithic period, which of course, predates the Steppe migration, some may have arrived via Steppe and is part of the ancestry of some modern Northern Europeans (maybe Estonia and Finland, perhaps others?) Just from reading some of your posts, you seem much more in tune to what happened North of the Alps and more so in Scandinavia that I do. So again, nothing I wrote in my 2nd paragraph is meant to be a definitive statement by me as I said, not my Lane that I drive in here.
This is a recent paper that I briefly read and it documents in one Steppe site dating to about 1,700 BC, the ancestry was 25% East Asian from some Siberian Hunter Gatherers. I think this paper is the first one to use Western Siberian Hunter Gather (WSHG) and Eastern Siberian Hunter Gather (ESHG). There is a thread about this paper. However, as I noted, I stay in my own Lane so I did not comment on the paper in the thread, but as I noted, I did read over the paper.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822619/
Cheers
Well the ENA applies to Southern and Central Europeans too if the models are correct (and we're not missing some sort of archaic ghost population),
If the models are correct (and IF is the key word here because I think people are fitting whatever fits their agenda tbh)
1. Anatolia_N is ~5% East Eurasian.
2. Southern Europeans have additional Caucasus/Iran related ancestry. If it is more CHG like then there is significant ENA from the ANE in CHG. If it is Iran_N like then there is even more ENA from the ANE in Iran_N in addition to the 20-30% ENA/AASI that Iran_N has.
3. There is ENA in the WHG that all Europeans have.
4. There is obviously ENA in steppe component which every European has (even Sardinians).
I saw a model that showed the French as 20% East Eurasian. Obviously we can expect lower but significantly different from 0 in places like Sardinia, Sicily, Southern Italy, and Greece. And slightly higher in places like the Uk, Germanosphere and Slavs. Finns and Estonians are outliers because they have actual ENA ancestry from the Iron Age onwards.
Palermo Trapani
30-06-20, 01:18
Ratchetman: I wish there was a model that really had clear variables that can model WHG/EHG/CHG/EEF/Iran_Neo and other caucus ancient ancestries like Armenian Chalcolithic/Bronze Age. I get closer distances on the Ancient Armenian samples vs Ancient Iranian and Caucus Steppe Maykop type samples. But since Armenia sits North of Iran and borders it along with Turkey and sits between the Black and Caspian Sea, maybe that is the source of my Caucus type ancestry. Every calculator that I look at has different populations and variables, etc.
Wow a model for French with 20% East Eurasian. I find that model questionable. If there is East Asian in Europeans, I would think small amount, excluding the Finns and Estonians who do have as you say actual ENA ancestry. The languages they speak are related I think to North Asian languages. I went to MyDNA portal and ran some of there calculators, nice calculators but again nothing consistent in terms how researchers are measuring populations. Good site and nice oracles with it. For example, on the MDLP K11E calculator done by Vadim Verenich of the Magnus Ducatus Lituaniae Project, I get 41% Neolithic EEF, 23% EHG and only 10.8% WHG, in addition to other ancestries such as Basal Eurasian, Iran-Mesolithic. Well since the calculator is probably designed to measure Northern and Eastern Europeans more accurately, the weight for me for EHG to me is overstated, the Neolithic is understated, and if my HG ancestry, I would think is more WHG?
On the older Eurogenes DNA calculator, my major ancestry is 65% (Anatolian Farmer 25%+ Med Farmer 40%) EEF type ancestry and HG (Baltic 17%0 some Middle East Herder 16% and then some small East Asian and Oceania and East African pastoralist amounts, total < 2% (I generally ignore amounts < 1% for ancient ancestry and view it as noise). The Punt K10 measures my major ancestry as 49% (Neolithic) EEF type ancestry, and then 25% WHG and 21% CHG type ancestry but it does show some 2.5% East Asian. On the Eurogenes ANE I get 54% European Neolithic Farmer, then 35% WHG-UHG(unknown HG) and then 8% ANE and 2% ASE, which is consistent with your ENA theory also in Southern Europe. But since I am going to have less Steppe, not sure how much of that shows up in DNA test.
Still while I get different Percentages, all the calculators I have run shows that I have predominate EEF type ancestry, which is what has been shown in all the extant research on macro Italian DNA samples regardless of region (20 Political regions in modern Italy).
Does anyone know or know who the British Isles travelers were or are?
Are there old Gedmatch burials or kits or any studies of his haplogroups?
I know that some were expelled to Spain, Holland and other countries forever losing their identity
https://1.bp.blogspot.com/-TC_zSi-a9eI/XvyEOp5leOI/AAAAAAAAEOA/N5C9bLTvX6QLV8duwhXQWw0sJxHIgM1PACLcBGAsYHQ/s1600/CheddarManEngland.jpeg
I am having results with the hunter-gatherers, logical considering neither geographical origin and the continent I belong to, it really doesn't surprise me and although my dnaY haplogroup is of Egyptian foundation, of course since it arrived, I do not know when it was, it has taken advantage of time from what I see.
I have my version of La Braña's face, I still have to darken her skin and put blue eyes on her but just like with Cheddar man I see that these men had a feminine air in their appearance except perhaps Villabruna. I also have a Villabruna woman, I would not like to find her at night in a dead end.
Q-Matching - Cheddar Man
Tot. cM 46 - Larg. Segm. 2
https://i.imgur.com/wLc1UH8.jpg
italouruguayan
02-07-20, 01:26
My mix went chaotic...:)12237
Sent from my SM-G9600 using Eupedia Forum mobile app (http://r.tapatalk.com/byo?rid=89698)
reorganizing ...
some Rs deep dive matches
https://i.imgur.com/I6aM1kv.jpg
Latins:
https://i.imgur.com/K55eX5L.jpg
Imperials - Central Romans- Hellenic Romans
https://i.imgur.com/88I7Pjf.jpg
Medieval - Late Medieval:
https://i.imgur.com/jZ6bT4A.jpg
My no results. The bald man did not say that I do not know what I do not know how much ... They have done
https://1.bp.blogspot.com/-sYIoClicDqo/XvNh-CDwH5I/AAAAAAAAEDg/xetlgW7loJIkhmz4Ny4kS5Vc-5DIIRrGACLcBGAsYHQ/s1600/TaforaltZ254661.jpeg
https://1.bp.blogspot.com/-n5dAVD-Tn6I/XvNi4VVOuCI/AAAAAAAAEDs/YJ5bos1067IeQwnP0ibJ-nJ5z2_A-C73ACLcBGAsYHQ/s1600/Tarofalt2Z398780.JPEG
https://1.bp.blogspot.com/-OuFQ200RE60/XvNi9OwUjRI/AAAAAAAAEDw/NkFZTeKMaZ4W6DE9Okq6QbzNdCmMDJa5QCLcBGAsYHQ/s1600/Tarofalt4Z021633.jpeg
https://1.bp.blogspot.com/-pKSsdLyWowo/XvNjBTycLrI/AAAAAAAAED0/jlIaY2blrlUnehyj5WUH3OwNw5nskkAywCLcBGAsYHQ/s1600/Tarofalt5Z554001.JPEG
https://1.bp.blogspot.com/-EhwITMCZ1NI/XvNjFc4WptI/AAAAAAAAED4/X20ttY-C0bIEEySBr7aRXs7zfyRFyEV2ACLcBGAsYHQ/s1600/TarofaltZ373052.JPEG
https://1.bp.blogspot.com/-dQkkP3NpgoQ/XvPTn5iS04I/AAAAAAAAEEg/ut6V63h1IN07f7iUS8Sy4R36ggJLWiV4ACLcBGAsYHQ/s1600/CovachadelAngelmtL-LucenaSpainCOV20126.jpg
https://1.bp.blogspot.com/-2F7Dtlv-PaM/Xv4G54jvkpI/AAAAAAAAER4/NlCezS3Y9skA9_cMIg94AEO0aVn_AlnLwCLcBGAsYHQ/s1600/LUCENAO-25.jpg
Sample allegedly and presumably L mtDNA
Palermo Trapani
02-07-20, 22:02
Salento: Regarding post 2924, except for one Roman sample, all of yours are above the mean/Median for closest matches among MTA users. And the one < 50% is at the 44% level. Really good results there.
Salento: Regarding post 2924, except for one Roman sample, all of yours are above the mean/Median for closest matches among MTA users. And the one < 50% is at the 44% level. Really good results there.
Maybe I score Deep Dive high percentages with the Roman Samples (and others too) because the vast majority of MTA users could be mixed (probably Americans), or the parents are from different regions.
The more mixed they are, the lower the deep dive matching score when compared with a Native, I Think.
Palermo Trapani
03-07-20, 00:02
Salento: Yes, most Americans of Italian ancestry today have other ethnicity if say they are 40 years old or younger, for the most par (unless more recent immigrants). I am probably one of the last from my generation, I am 120-130 years removed from Sicily, whose ancestry is 100% from there. I like how you just posted the Roman samples, did you format MTA to only print the Roman samples or did you sort of snip and cut and paste the Romans into one file.
Interestingly, my top MTA matches are SZ32 Central Roman 590 AD (89%), CL30 Hellenic Roman Dodecanese 590 AD (88%) and CL36 Central Roman 630 AD (87%). I have 12 of the Roman samples > 50% best match, with R44 and R1545 both 86%, R49 (81%). 15 that are between 26% and 49% best matches, and 6 that are 3% to 12%, total of 33 in my top 100. Hellenic Roman-Crete CL38 is another of those samples that I get a high match relative to other users (69%). Yours are off the charts.
Salento: Yes, most Americans of Italian ancestry today have other ethnicity if say they are 40 years old or younger, for the most par (unless more recent immigrants). I am probably one of the last from my generation, I am 120-130 years removed from Sicily, whose ancestry is 100% from there. I like how you just posted the Roman samples, did you format MTA to only print the Roman samples or did you sort of snip and cut and paste the Romans into one file.
Interestingly, my top MTA matches are SZ32 Central Roman 590 AD (89%), CL30 Hellenic Roman Dodecanese 590 AD (88%) and CL36 Central Roman 630 AD (87%). I have 12 of the Roman samples > 50% best match, with R44 and R1545 both 86%, R49 (81%). 15 that are between 26% and 49% best matches, and 6 that are 3% to 12%, total of 33 in my top 100. Hellenic Roman-Crete CL38 is another of those samples that I get a high match relative to other users (69%). Yours are off the charts.
SZ32 95% - CL38 93% - CL30 90% - CL36 72%
https://i.imgur.com/KxzgRGr.jpg
... as time goes by the scores can go up or down ( CL30 ... a few days ago was higher than today !):
https://i.imgur.com/Aqj9bDX.jpg
about the images: ... Picsew - screenshot stitching (App Store)
Palermo Trapani
03-07-20, 02:51
Salento: Picsew. Thanks. Again, off the charts with the Collegno samples as well for your Chroma matches. I also find that some of these Roman samples, on all the Calculators, I have many close distances even if no chroma matches.
As others have noted about your matches, you are like time traveler.
Salento: Picsew. Thanks. Again, off the charts with the Collegno samples as well for your Chroma matches. I also find that some of these Roman samples, on all the Calculators, I have many close distances even if no chroma matches.
As others have noted about your matches, you are like time traveler.
Modern Pugliesi, ( ... not sure about the ancients, or you) are close to the Old Iron-Age Latin R437 and many of the Imperial and Medieval samples are also kind of close to R437, ... there you go :)
Palermo Trapani
03-07-20, 04:20
Modern Sicily to Ancient Romans using Dodecad 12B (distances < 20) and Me to Ancient Romans (distances < 20). I am a little closer to R437 than the average modern Sicilian, 4.18 vs. 6.54. R850 is closer to modern Sicily at 10.04 than me (13.23), however, I share DNA segments with R850 and get an MTA match (my only Iron Age Roman chroma match). R475 and R1 for modern Sicily are 18.89 and 19.20 vs me at 16.5 and 17.4. R474_Iron Age is 20.7 my next closest match not shown. So These would all fall into MTA's range, but I have other closer matches and I get with Zeus top 100. With the LIghtning Bolts, maybe some of these other Iron Age Romans will come through. Actually first time I have compared Me and Modern Sicily to the Ancient Roman samples.
Distance to:
Italy_Sicily
2.78705669
R35_Late_Antiquity_Celio
2.95529102
R136_Imperial_Era_Marcellino_&_Pietro
3.35028432
R57_Medieval_Era_Villa_Magna
3.35727345
R56_Medieval_Era_Villa_Magna
3.44436133
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
3.46294744
R65_Medieval_Era_Villa_Magna
3.51985014
R973_Medieval_Era_Tivoli_Palazzo_Cianti
3.91256502
R54_Medieval_Era_Villa_Magna
3.94673853
R64_Medieval_Era_Villa_Magna
4.06643640
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
4.07746796
R53_Medieval_Era_Villa_Magna
4.18151707
R49_Imperial_Era_Centocelle_Necropolis
4.54319326
R436_Imperial_Era_Palestrina
4.95675347
R47_Imperial_Era_Centocelle_Necropolis
5.05756513
R59_Medieval_Era_Villa_Magna
5.08336945
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
5.33946486
R58_Medieval_Era_Villa_Magna
5.40362887
R1290_Medieval_Era_Villa_Magna
5.80997806
R131_Imperial_Era_Via_Paisiello_Necropolis
6.07345412
R835_Imperial_Era_Civitanova_Marche
6.10810486
R836_Imperial_Era_Civitanova_Marche
6.18603791
R52_Medieval_Era_Villa_Magna
6.19178205
R32_Late_Antiquity_Mausole_di_Augusto
6.37480392
R30_Late_Antiquity_Mausole_di_Augusto
6.51155319
R60_Medieval_Era_Villa_Magna
6.51478511
R114_Imperial_Era_Via_Paisiello_Necropolis
6.54394262
R437_Iron_Age_Palestrina_Selicata
6.64667323
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.75277906
R137_Imperial_Era_Marcellino_&_Pietro
6.79053054
R107_Late_Antiquity_Crypta_Balbi
6.86542533
R50_Imperial_Era_Centocelle_Necropolis
7.07799866
R969_Medieval_Era_Tivoli_Palazzo_Cianti
7.42011624
R125_Imperial_Era_Casale_del_Dolce
7.82426131
R51_Imperial_Era_Centocelle_Necropolis
8.07466687
R113_Imperial_Era_Via_Paisiello_Necropolis
8.22681864
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.84331075
R1548_Imperial_Era_Monterotondo
9.49983921
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
9.55030916
R133_Imperial_Era_Marcellino_&_Pietro
9.64632702
R69_Imperial_Era_ANAS
9.67131558
R45_Imperial_Era_Isola_Sacra_Necropolis
9.69938890
R39_Imperial_Era_Isola_Sacra_Necropolis
9.71730750
R115_Imperial_Era_Via_Paisiello_Necropolis
9.99654065
R34_Late_Antiquity_Mausole_di_Augusto
10.04684154
R850_Iron_Age_Ardea
10.14979926
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
10.16859012
R1283_Medieval_Era_Cancelleria
10.28822944
R1543_Imperial_Era_Necropolis_of_Monte_Agnese
10.44822305
R81_Imperial_Era_Viale_Rossini_Necropolis
10.45065189
R1549_Imperial_Era_Monterotondo
10.60539132
R134_Imperial_Era_Marcellino_&_Pietro
10.75826868
R123_Imperial_Era_Casale_del_Dolce
10.76848295
R1545_Imperial_Era_Necropolis_of_Monte_Agnese
11.33859714
R36_Late_Antiquity_Celio
11.93261015
R40_Imperial_Era_Isola_Sacra_Necropolis
11.95136331
R66_Imperial_Era_ANAS
12.10660832
R1287_Medieval_Era_Cancelleria
12.21629915
R80_Imperial_Era_Viale_Rossini_Necropolis
12.25981831
R111_Imperial_Era_Via_Paisiello_Necropolis
12.32510629
R41_Imperial_Era_Isola_Sacra_Necropolis
12.55599877
R73_Imperial_Era_ANAS
13.07584127
R1285_Medieval_Era_Cancelleria
15.07256000
R75_Imperial_Era_Viale_Rossini_Necropolis
15.39884233
R130_Imperial_Era_Marcellino_&_Pietro
15.61844567
R72_Imperial_Era_ANAS
16.19910692
R44_Imperial_Era_Isola_Sacra_Necropolis
16.56090230
R128_Imperial_Era_Casale_del_Dolce
17.48931345
R43_Imperial_Era_Isola_Sacra_Necropolis
18.09571400
R70_Imperial_Era_ANAS
18.71135978
R78_Imperial_Era_Viale_Rossini_Necropolis
18.89875882
R475_Iron_Age_Civitavecchia
19.20153028
R1_Iron_Age_Protovillanovan_Martinsicuro
19.89395097
R126_Imperial_Era_Casale_del_Dolce
20.00183054
R76_Imperial_Era_Viale_Rossini_Necropolis
Distance to:
PalermoTrapani
2.59038607
R56_Medieval_Era_Villa_Magna
2.76190152
R52_Medieval_Era_Villa_Magna
3.27177322
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
3.34701359
R35_Late_Antiquity_Celio
3.84983117
R131_Imperial_Era_Via_Paisiello_Necropolis
4.10471680
R835_Imperial_Era_Civitanova_Marche
4.16370028
R1290_Medieval_Era_Villa_Magna
4.18976133
R437_Iron_Age_Palestrina_Selicata
4.32090268
R973_Medieval_Era_Tivoli_Palazzo_Cianti
4.54783465
R49_Imperial_Era_Centocelle_Necropolis
4.57668002
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
4.82952379
R65_Medieval_Era_Villa_Magna
4.83867751
R54_Medieval_Era_Villa_Magna
5.03103369
R836_Imperial_Era_Civitanova_Marche
5.10995108
R57_Medieval_Era_Villa_Magna
5.30245226
R47_Imperial_Era_Centocelle_Necropolis
5.32897739
R59_Medieval_Era_Villa_Magna
5.43089311
R969_Medieval_Era_Tivoli_Palazzo_Cianti
5.46635162
R64_Medieval_Era_Villa_Magna
5.50746766
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
5.68175149
R107_Late_Antiquity_Crypta_Balbi
5.70777540
R113_Imperial_Era_Via_Paisiello_Necropolis
5.90403252
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.04601522
R136_Imperial_Era_Marcellino_&_Pietro
6.21821518
R58_Medieval_Era_Villa_Magna
6.46672251
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
6.74800711
R436_Imperial_Era_Palestrina
6.76732591
R60_Medieval_Era_Villa_Magna
6.77646663
R53_Medieval_Era_Villa_Magna
7.20115963
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.28579440
R1283_Medieval_Era_Cancelleria
7.62057741
R32_Late_Antiquity_Mausole_di_Augusto
8.11539894
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.21912404
R137_Imperial_Era_Marcellino_&_Pietro
8.36581735
R30_Late_Antiquity_Mausole_di_Augusto
8.85745449
R50_Imperial_Era_Centocelle_Necropolis
9.01662354
R1287_Medieval_Era_Cancelleria
9.08267582
R36_Late_Antiquity_Celio
9.08880080
R111_Imperial_Era_Via_Paisiello_Necropolis
9.26807963
R114_Imperial_Era_Via_Paisiello_Necropolis
9.42151262
R125_Imperial_Era_Casale_del_Dolce
9.94731119
R1285_Medieval_Era_Cancelleria
9.97097789
R1549_Imperial_Era_Monterotondo
10.00080497
R51_Imperial_Era_Centocelle_Necropolis
10.36353704
R45_Imperial_Era_Isola_Sacra_Necropolis
11.49942172
R133_Imperial_Era_Marcellino_&_Pietro
11.56716473
R69_Imperial_Era_ANAS
11.63612049
R1548_Imperial_Era_Monterotondo
12.28268293
R39_Imperial_Era_Isola_Sacra_Necropolis
12.33247745
R80_Imperial_Era_Viale_Rossini_Necropolis
12.33723227
R81_Imperial_Era_Viale_Rossini_Necropolis
12.75264286
R123_Imperial_Era_Casale_del_Dolce
12.77108844
R34_Late_Antiquity_Mausole_di_Augusto
12.80763444
R1545_Imperial_Era_Necropolis_of_Monte_Agnese
12.87494078
R115_Imperial_Era_Via_Paisiello_Necropolis
13.23641568
R850_Iron_Age_Ardea
13.25961161
R40_Imperial_Era_Isola_Sacra_Necropolis
13.33041260
R134_Imperial_Era_Marcellino_&_Pietro
13.54778949
R1543_Imperial_Era_Necropolis_of_Monte_Agnese
13.60991918
R66_Imperial_Era_ANAS
14.24994035
R73_Imperial_Era_ANAS
14.58388837
R41_Imperial_Era_Isola_Sacra_Necropolis
16.54641653
R475_Iron_Age_Civitavecchia
17.27937210
R130_Imperial_Era_Marcellino_&_Pietro
17.40331865
R1_Iron_Age_Protovillanovan_Martinsicuro
17.51228997
R44_Imperial_Era_Isola_Sacra_Necropolis
17.63311657
R75_Imperial_Era_Viale_Rossini_Necropolis
17.63358160
R72_Imperial_Era_ANAS
18.27538508
R33_Late_Antiquity_Mausole_di_Augusto
18.80224189
R55_Medieval_Era_Villa_Magna
19.25356850
R43_Imperial_Era_Isola_Sacra_Necropolis
19.36787288
R128_Imperial_Era_Casale_del_Dolce
20.05352338
R70_Imperial_Era_ANAS
imho a Chromosomal match (Deep Dive) shows a real genetic match, though doesn’t always correlate to Distances (Matching Samples).
My MTA distances are not that small, on the other hand, the chromosome comparisons say the opposite,
I think there’s an ancient population that hasn't been tested yet, (the Messapi),
imo their autosomal mix ratio is causing the anomaly in the distances,
The Messapi could have been a mix of Italics, Cretans and Illyrians, but we don’t know for sure.
Palermo Trapani
03-07-20, 05:41
imho a Chromosomal match (Deep Dive) shows a real genetic match, though doesn’t always correlate to Distances (Matching Samples).
My distances are not that small, on the other hand, the chromosome comparisons say the opposite,
I think there’s an ancient population that hasn't been tested yet, (the Messapi),
imo their autosomal mix ratio is causing the anomaly in the distances,
The Messapi could have been a mix of Italics, Cretans and Illyrians, but we don’t know for sure.
From what I remember, they lived in Puglia pretty much during the Iron Age Republican Rome till 1st Century BC, Imperial Age which by that time fully incorporated into Rome. So what You are suggesting is that there is lots of Messapi ancestry in the Southern Shifted Romans that Italians from Puglia would have which would give modern Italians from Puglia closer Chromosomal matches even though I would have similar ancestry (Italic, Cretan-Greek) and a related type Illyrian ancestry, in my case Thracian Bulgarian (I get a Deep Dive match on Sample I5769). A pretty good one, 80% closer than other MTA users but I believe you also have at least 2 really good MTA Thracian Deep Dive Matches. I don't think I have seen any Illyrian samples on MTA in my top 100 archaeological matches (none in Deep Dive), but I might have missed them. In my ancient breakdown, I get 8% Illyrian ancestry in the Early Bronze Age, Late Bronze drops to 4.3%, by Iron Age down to 2.5% but by Medieval Age it shows a little resurgence back to 3.9%.
So hmm, you might be on to something, the Southern Shifted Samples in Antonio et al 2019 could reflect ones that have more direct Messapi admixture from Puglia hence the closer Deep Dives in your case.
SZ1 Thracians Illyrians Scythian
I’m heavy on Bronze Age SZ1, it’s probably some kind of base common ancestry sample:
https://i.imgur.com/PFJqtfH.jpg
SZ1 Thracians Illyrians Scythian
I’m heavy on Bronze Age SZ1, it’s probably some kind of base common ancestry sample:
https://i.imgur.com/PFJqtfH.jpg
SZ1 seems Hallstatt to me 1000BC Pannonian Basin. I am heavy too on that one, but is only one sample so let’s wait and see for more samples.
Sent from my iPhone using Eupedia Forum (http://r.tapatalk.com/byo?rid=89698)
We continue to see Bronze Age Loma del Puerco. Chiclana, Cádiz, Andalusia, Spain
https://1.bp.blogspot.com/-BJGNFMLoRpc/Xv-9R8VTI7I/AAAAAAAAEUk/OCrCdKMHGwUCKERoD4JRuKsk2D21ZeM4gCLcBGAsYHQ/s1600/bronzeagelomadelpuerco.jpg
https://1.bp.blogspot.com/-MKFwZvawFMU/Xv-9UUxGO3I/AAAAAAAAEUo/zlfStAVWLkI7OuUA3vQXBASLFWKJOPcIQCLcBGAsYHQ/s1600/bronzeagelomadelpuercoMODFERN.jpg
Palermo Trapani
04-07-20, 04:23
Hello everyone, broke down and got A Lightning Bolt. 125 samples, for new Archaeological Matches (Deep Dive does not change so same top 100 Deep Dive Matches). However, some interesting new Arch. Matches. The Ikiztepe Black Sea matches from 3,300 BC are interesting, 2 were in my top 100 before and now 3 more for 5 total of 125. R1 is now showing up in my top 125 which is consistent with my post 2392 (R1 is a distance of 17) so personally neat seeing the oldest Iron Age Roman showing up in MTA as a top 125 Archaeological match. R437 and R850 were already in my top 100 before the Bolt.
http://i.imgur.com/y8kEUAa.jpg (https://imgur.com/y8kEUAa)
http://i.imgur.com/RJZNrB6.jpg (https://imgur.com/RJZNrB6)
Hello everyone, broke down and got A Lightning Bolt. 125 samples, for new Archaeological Matches (Deep Dive does not change so same top 100 Deep Dive Matches). However, some interesting new Arch. Matches. The Ikiztepe Black Sea matches from 3,300 BC are interesting, 2 were in my top 100 before and now 3 more for 5 total of 125. R1 is now showing up in my top 125 which is consistent with my post 2392 (R1 is a distance of 17) so personally neat seeing the oldest Iron Age Roman showing up in MTA as a top 125 Archaeological match. R437 and R850 were already in my top 100 before the Bolt.
http://i.imgur.com/y8kEUAa.jpg (https://imgur.com/y8kEUAa)
http://i.imgur.com/RJZNrB6.jpg (https://imgur.com/RJZNrB6)
Nice Map from Ancient Times @PT. Very cool. MTA is really innovative and is an excellent source of search for us to understand our ancient ancestry and the rout of ancient migrations and, of course, the admixture of populations.
Palermo Trapani
04-07-20, 05:24
Duarte: Thanks, it is really starting to show, with more samples, a strong source from Anatolia which would be consistent with me having predominate EEF type ancestry, confirmed via Deep Dive with Match with Otzi, etc. The Sicily Archaeological match is Sicilian_Bell Beaker sample I4930, which is major EEF type ancestry, so as you say, very innovative source on all the dimensions you indicated. While your posting, what is the best way to do a Y-DNA analysis that costs maybe less than Ftdna Big Y. I will eventually get around to Big Y next fall but now need to be a little more frugal given COVID-19 situation in USA is still "hot", as it is in Brazil.
Related to Y-DNA, when I put my Y-DNA I-M223 in MTA to get my Y-DNA matches, they define it as I2a1b (AM01925/CTS5614) which is downstream from I2a1. I-M223 is also placed in I2a2 (M436) as a downstream sub-clade of it (In Eupedia Tree). So where would you find the current classification of the Y-DNA tree other than say Ftdna's site which I am not a member. What is the best way to resolve this. When put your Y-DNA Haplogroup in the MTA Haplogroup analysis option, does it give you the same Y-DNA Haplogroup that other sites gives you.
Duarte: Thanks, it is really starting to show, with more samples, a strong source from Anatolia which would be consistent with me having predominate EEF type ancestry, confirmed via Deep Dive with Match with Otzi, etc. The Sicily Archaeological match is Sicilian_Bell Beaker sample I4930, which is major EEF type ancestry, so as you say, very innovative source on all the dimensions you indicated. While your posting, what is the best way to do a Y-DNA analysis that costs maybe less than Ftdna Big Y. I will eventually get around to Big Y next fall but now need to be a little more frugal given COVID-19 situation in USA is still "hot", as it is in Brazil.
Related to Y-DNA, when I put my Y-DNA I-M223 in MTA to get my Y-DNA matches, they define it as I2a1b (AM01925/CTS5614) which is downstream from I2a1. I-M223 is also placed in I2a2 (M436) as a downstream sub-clade of it (In Eupedia Tree). So where would you find the current classification of the Y-DNA tree other than say Ftdna's site which I am not a member. What is the best way to resolve this. When put your Y-DNA Haplogroup in the MTA Haplogroup analysis option, does it give you the same Y-DNA Haplogroup that other sites gives you.
That's right @PT. You are on the right track.
As for Y-DNA, MTA does not include the deepest subclades of all Haplogroups. In the case of my deepst R1b subclade there is nothing in the MTA that is downstream from R1b-DF27. See my tree. None of the subclades downstream of DF27 are recognized in the MTA, so I have to finish there in the MTA (until DF27).
https://i.imgur.com/cFJ8P5h.jpg
Palermo Trapani
04-07-20, 06:23
Duarte: Here is the I-M223 chart from the International Society of Genetic Genealogy (there chart). Just to give proper citation to where it came from. It has I-M223 as subclade I-M436, which is what Maciamo's article has as well, so other than the difference in classification I noted above, it is in the right place. The Chart below does not have Time to Most Recent Common Ancestor (TMRCA) nor can I tell without doing some Deep Clade analysis if I am I-M223 without any additional variations or something further downstream. Is that correct? Going into Deep Y-DNA analysis is more of a recent thing with me, much more time has been spent in the past doing Ancestry Research with documentation back from Mother Land and autosomal ancestry analsysis, etc. Thanks for your help on the Y-DNA stuff, you and Salento are my two go two guys on this issue. MTA has me as I-M223 AM01925/CTS5614.
I2a1a2b2
A17060, A17061, A17062/F15517, FGC60282
I2a1b
M436/P214/PF3856/S33, BY13328/Y4250, CTS190, CTS3326, CTS3859, CTS3918, CTS4314/S884, CTS4432, CTS5017, CTS8302, CTS8799, CTS8901/S6469, CTS9482, CTS9782, CTS10037, CTS11311, FGC3519/S5875, FGC3520/Y3250, FGC3521/S5878, FGC3522/S6528, FGC3524/Y3258, FGC3525/S11022, FGC3526/Y3676, FGC3527/Y3253, FGC3528/Y7288, FGC3529/S5810, FGC3530/S5818, FGC3537/Y4157, FGC3538/Y3254, FGC3539/S24436, FGC14209/Y4458, L35/PF3862/S150, L37/PF6900/S153, L181, L368, L800, P216/PF3855/S30, P217/PF3854/S23, P218/S32, PF6895, S884
I2a1b1
M223, L34/PF3857/S151, L36/S152, L59, P219/PF3859/S24, P220/S119, P221/PF3858/S120, P222/PF3861/U250/S118, P223/PF3860/S117, Z77
I2a1b1~
AM01925/CTS5614, CTS159/L1196, CTS429, CTS1616/S2367, CTS2312, CTS2669/S2374, CTS3111/S2378, CTS3792/S2380, CTS3921/S2381, CTS4149/S2383, CTS4536/S2385, CTS5279, CTS5286, CTS5464, CTS6331, CTS7032, CTS7172, CTS7272, CTS7331, CTS7391, CTS7762, CTS7865, CTS8449, CTS8500, CTS9056, CTS9266, CTS9411, CTS10093, CTS10125/S2441, CTS10262, CTS11545, FGC3536/Y4449, FGC3547/Y4451, FGC3551/S10459, FGC3552/Y3259, FGC3553/S6520, FGC3554/Y4441, FGC3556/S2363, FGC3557/S2450, FGC3558/S2472, FGC7875/S2365, L1316/S2479, and, L387.2, L700, L705.1, L706.1
Duarte: Here is the I-M223 chart from the International Society of Genetic Genealogy (there chart). Just to give proper citation to where it came from. It has I-M223 as subclade I-M436, which is what Maciamo's article has as well, so other than the difference in classification I noted above, it is in the right place. The Chart below does not have Time to Most Recent Common Ancestor (TMRCA) nor can I tell without doing some Deep Clade analysis if I am I-M223 without any additional variations or something further downstream. Is that correct? Going into Deep Y-DNA analysis is more of a recent thing with me, much more time has been spent in the past doing Ancestry Research with documentation back from Mother Land and autosomal ancestry analsysis, etc. Thanks for your help on the Y-DNA stuff, you and Salento are my two go two guys on this issue. MTA has me as I-M223 AM01925/CTS5614.
I2a1a2b2
A17060, A17061, A17062/F15517, FGC60282
I2a1b
M436/P214/PF3856/S33, BY13328/Y4250, CTS190, CTS3326, CTS3859, CTS3918, CTS4314/S884, CTS4432, CTS5017, CTS8302, CTS8799, CTS8901/S6469, CTS9482, CTS9782, CTS10037, CTS11311, FGC3519/S5875, FGC3520/Y3250, FGC3521/S5878, FGC3522/S6528, FGC3524/Y3258, FGC3525/S11022, FGC3526/Y3676, FGC3527/Y3253, FGC3528/Y7288, FGC3529/S5810, FGC3530/S5818, FGC3537/Y4157, FGC3538/Y3254, FGC3539/S24436, FGC14209/Y4458, L35/PF3862/S150, L37/PF6900/S153, L181, L368, L800, P216/PF3855/S30, P217/PF3854/S23, P218/S32, PF6895, S884
I2a1b1
M223, L34/PF3857/S151, L36/S152, L59, P219/PF3859/S24, P220/S119, P221/PF3858/S120, P222/PF3861/U250/S118, P223/PF3860/S117, Z77
I2a1b1~
AM01925/CTS5614, CTS159/L1196, CTS429, CTS1616/S2367, CTS2312, CTS2669/S2374, CTS3111/S2378, CTS3792/S2380, CTS3921/S2381, CTS4149/S2383, CTS4536/S2385, CTS5279, CTS5286, CTS5464, CTS6331, CTS7032, CTS7172, CTS7272, CTS7331, CTS7391, CTS7762, CTS7865, CTS8449, CTS8500, CTS9056, CTS9266, CTS9411, CTS10093, CTS10125/S2441, CTS10262, CTS11545, FGC3536/Y4449, FGC3547/Y4451, FGC3551/S10459, FGC3552/Y3259, FGC3553/S6520, FGC3554/Y4441, FGC3556/S2363, FGC3557/S2450, FGC3558/S2472, FGC7875/S2365, L1316/S2479, and, L387.2, L700, L705.1, L706.1
You are right Trapani. I tested FTDNA’s Y-13, Y-25, Y-37, Y-67 and Y-111. These tests based on STRs predicted my subclade as R1b-M269. Only the BigY-700, which tests more than 700 STRs and also the SNPs, was able to confirm my Haplogroupo further downstream. I have only one correspondence, and he is from Cordoba, Spain. TRMCA 2600 ybp (Iron Age).
https://i.imgur.com/G7LpuTu.png
https://i.imgur.com/nAF1OGS.png
https://i.imgur.com/57uzgla.png
https://i.imgur.com/UYfbrMG.jpg
https://i.imgur.com/VqS5Git.jpg
Palermo Trapani
04-07-20, 16:35
Duarte: Ok, thanks my friend, that makes sense and helps out a great deal.
Hello everyone, broke down and got A Lightning Bolt. 125 samples, for new Archaeological Matches (Deep Dive does not change so same top 100 Deep Dive Matches). However, some interesting new Arch. Matches. The Ikiztepe Black Sea matches from 3,300 BC are interesting, 2 were in my top 100 before and now 3 more for 5 total of 125. R1 is now showing up in my top 125 which is consistent with my post 2392 (R1 is a distance of 17) so personally neat seeing the oldest Iron Age Roman showing up in MTA as a top 125 Archaeological match. R437 and R850 were already in my top 100 before the Bolt.
http://i.imgur.com/y8kEUAa.jpg (https://imgur.com/y8kEUAa)
http://i.imgur.com/RJZNrB6.jpg (https://imgur.com/RJZNrB6)
@PT ... very cool Mapl :)
... I think you’re Italian, ... and a Roman :-)
Palermo Trapani
04-07-20, 18:00
Salento: Thanks and Cheers. As you are my friend! The usual suspects at certain other sites are going to have a hell of time with our MTA maps aren't they?
Salento: Thanks and Cheers. As you are my friend! The usual suspects at certain other sites are going to have a hell of time with our MTA maps aren't they?
The results speaks for themselves,
there’s no room for dissenting opinions, and contrarians should pick a different battle, ... this one is over, ...
Palermo Trapani
04-07-20, 21:49
The results speaks for themselves,
there’s no room for dissenting opinions, and contrarians should pick a different battle, ... this one is over, ...
Salento: Well said and Saluti!.
I have tried to see how the mother could be and this result came out, it really is automatic and I did not look for any hair color but this was the result.
Hypothetically Otzie's mother of young and mature age.
https://1.bp.blogspot.com/-HEszxdvAgP4/XuWGnpzQ1SI/AAAAAAAAD-c/S0wGgvNybesppwUD1WxQMfVeN9pxhya5QCLcBGAsYHQ/s1600/otzimadrejoven.jpeg
https://1.bp.blogspot.com/-W8g2rXBKBB4/XuWGqSR9OsI/AAAAAAAAD-g/23BDawxcwJMwJz6PwVKuOhBkEHjL2YZGgCLcBGAsYHQ/s1600/otzimadremayor.jpeg
In rehearsals I also obtained these two images, it could be a suggestion of the appearance of someone current descendant of Otzie or even the possibility of the appearance of women of his family of that time.
https://1.bp.blogspot.com/-CBkRCuaEkSw/XuY67rw3_nI/AAAAAAAAD-8/HkntbTzWRcsteBy7wmDWbGh7KcFmoAsZQCLcBGAsYHQ/s1600/jovenOtzie.jpeg
https://1.bp.blogspot.com/-5RaBZD9gicQ/XuY6-Gpf8mI/AAAAAAAAD_A/xKETW8ABrrUV9PxxRYYIRBAmbON84UqywCLcBGAsYHQ/s1600/otziemadura.jpeg
It all comes from Otzie's face without mixing with the face of any other modern or ancient person.
They say that their mtdna is not in Europe anymore, my feeling is that they are recognizable to me but suddenly they escape me.
Otzi’s mother could have also looked like that...Too bad she went extinct.
https://i.imgur.com/vY0n8l2.jpg
Otzi’s mother could have also looked like that...Too bad she went extinct.
https://i.imgur.com/vY0n8l2.jpg
I rather think that it is Otzi's sister although I see her more as the niece
La Braña
Here what happened is that when entering the braña's skull the program automatically if I put in feminine mode.
https://1.bp.blogspot.com/-5fyvc9yqbYE/XwTZA8eixxI/AAAAAAAAEU4/L9y42ckWdeUxMBAdooC_ABJ_CPkTydLgwCLcBGAsYHQ/s1600/labra%25C3%25B1amaduro.jpeg
https://1.bp.blogspot.com/-IeT5sgFFZis/XwTZDYd184I/AAAAAAAAEU8/NTdDHZmSXOg-AqM5mdXXp5XiVlUOONthwCLcBGAsYHQ/s1600/labr%25C3%25B1aviejo.jpeg
La Braña Woman
https://1.bp.blogspot.com/-Iu7_eytAipg/XwTZF-hA5KI/AAAAAAAAEVA/5EQYyqYqRpc5HHsDceBk3jYcwobfffyHACLcBGAsYHQ/s1600/labr%25C3%25B1awoman.jpeg
Villabruna Woman
https://1.bp.blogspot.com/-jGckRJsBIvQ/XwTZJGAbOqI/AAAAAAAAEVE/quXgh70LjE4UuVPTGsna2OmaB5pMpbUBQCLcBGAsYHQ/s1600/Villabrunawoman.jpeg
I want to do El Mirón but I have found the right skull image.
Imagine them a little darker if they want and blue eyes would not all have them, scientific science has said.
https://i.imgur.com/whgX0YJ.jpg
re-upload ...
Top 40 Map:
https://i.imgur.com/0k8TNOK.jpg
Deep Dive Map:
https://i.imgur.com/P7zGCx6.jpg
Exceptional Relatives:
https://i.imgur.com/fFgA9eJ.jpg
Normal Relatives:
https://i.imgur.com/gnapY8a.jpg
The weak Relatives:
https://i.imgur.com/qZ4fTcx.jpg
Palermo Trapani
10-07-20, 06:11
Salento: Again, very, very neat results.
Salento: Again, very, very neat results.
Thanks,
the relative rank goes up and down,
... Although different from each other, the older Otzi, 2 Latins and SZ1 rank highly.
it shows that they're an important root of the genetic make up of many other samples, the peninsula, the islands, and me too :)
Palermo Trapani
10-07-20, 20:57
Salento: No problem, I need to come here for a while, there is now a thread, that has been going on the last 2 days is about to make my freaking head explode.
Salento: No problem, I need to come here for a while, there is now a thread, that has been going on the last 2 days is about to make my freaking head explode.
Beliefs often clashes with Fact.
we’re joined at the hip (chromosome level) with so many of the Ancient Italian / Roman samples, our relation with them is Strong,
... some people still say that they could all be, ‘Lost Tourists’ ... and when that happens there is no point in arguing with them, ...
Palermo Trapani
10-07-20, 23:01
Beliefs often clashes with Fact.
we’re joined at the hip (chromosome level) with so many of the Ancient Italian / Roman samples, our relation with them is Strong,
... some people still say that they could all be, ‘Lost Tourists’ ... and when that happens there is no point in arguing with them.
We are my friend, I will send you a classic Sicilian dinner, start with Bread and Arancini as the starter, some Pasta and Mussels for entree, and desert, Granita and Cannoli. You send me your best dish from Puglia and then we will toast with a glass of vino.
I don't want to overly generalize to all the North of the Alpers but it does seem there is a segment of that group having a hard time that you from Lecce on the Boot part of Puglia and me whose ancestors are from Trapani, Palermo and Agrigento (West Sicily) provinces having Deep Dive Matches with some many Romans is hard for them to take. I mean if they shared Deep Dive Chromosome matches with a significant numbers of the 127 ancient Roman samples, I am sure we would have heard about it by now.
my y T final marker path ends in ... :cool-v: ... take that R850 - SZ36 - CL23 ... :grin:
https://i.imgur.com/Z9s8Uiw.jpg
https://i.imgur.com/zBRhLz9.jpg
http://scaledinnovation.com/gg/snpTracker.html
bigsnake49
14-07-20, 16:35
For me it's remarkable how little the Roman/Italian genetic imprint has changed. Yes you were invaded by the Goths and the Lombards but they were elite based invasions and soon they disappeared in the genetic noise.
About the Guanches, new samples available in MTA since since July 11, 2020
https://i.imgur.com/RPQ0OzW.jpg
https://i.imgur.com/tNuav6d.jpg
https://en.m.wikipedia.org/wiki/Guanches
https://www.dailymail.co.uk/sciencetech/article-6086781/Canary-Islander-s-face-recreated-600-years-culture-extinct.html
Has anyone ever tried creating a genetic map of each of the Components? I�d be interested to see if Celtic echoes the LaTene Culture. :)
12258
Nothing with guanche. I was in Tenerife years ago they are already very mixed with Europeans but I coincidentally coincided with the day of the Virgin of La Candelaria and there was like a little girl sitting on a pilgrimage plan and there were people who perhaps had come from rural areas that I had not seen before by the city and there were really archaic guys especially women, many of them very blonde.
S vs R850:
https://i.imgur.com/avZuSH2.jpg
S vs R437
https://i.imgur.com/qsrcLi2.jpg
R437 vs R850
https://i.imgur.com/aqqHGwe.jpg
fyi ... I use S instead of Salento because it feels weird when I write about myself in the 3rd person, lol
... I took the user name of my Land, and even though I match most of the Pugliesi, my results are my own,
and in no way do they represent the complexity of Salento as a whole.
I tried to be a good host to the name, ... cast your judgment to me, and not to the people of Salento.
... with Great Names comes great responsibility :)
Palermo Trapani
17-07-20, 05:26
... I took the user name of my Land, and even though I match most of the Pugliesi, my results are my own,
and in no way do they represent the complexity of Salento as a whole.
I tried to be a good host to the name, ... cast your judgment to me, and not to the people of Salento.
... with Great Names comes great responsibility :)
Well said, You must have a Uncle named Ben Parker Salento:good_job:
Well said, You must have a Uncle named Ben Parker Salento:good_job:
or Stan Lee could have been inspired by the Spider-Men and Spider-Women of Salento,
the Taranta (Spider) (maybe as old as the Cult of Dionysus) has been one of the symbols of Salento long before Spider-Man showed up :)
... This cult of tarantism, was linked to the icon of the spider because it is the symbol of Mother Earth that resurfaces with his primal instincts ruthless with the strength of ancient pagan rituals that Christianity has sought to mitigate bringing them to reason, in the womb Holy Mother Church (hence the connection with St. Paul)...
https://chain.eu/?m3=19516
https://explorepartsunknown.com/southern-italy/spiderwomen-puglia/
Palermo Trapani
17-07-20, 06:15
or Stan Lee could have been inspired by the Spider-Men and Spider-Women of Salento,
the Taranta (Spider) (maybe as old as the Cult of Dionysus) has been one of the symbols of Salento long before Spider-Man showed up :)
... This cult of tarantism, was linked to the icon of the spider because it is the symbol of Mother Earth that resurfaces with his primal instincts ruthless with the strength of ancient pagan rituals that Christianity has sought to mitigate bringing them to reason, in the womb Holy Mother Church (hence the connection with St. Paul)...
https://chain.eu/?m3=19516
https://explorepartsunknown.com/southern-italy/spiderwomen-puglia/
Interesting, the lady in the first link, making me think saintly things or sinful:thinking: Very seductive! If I am in Salento I better find another parish to go to:good_job:
Interesting, the lady in the first link, making me think saintly things or sinful:thinking: Very seductive! If I am in Salento I better find another parish to go to:good_job:
It’s OK, we Catholics have mastered a loophole: ‘Confession’ :grin:
... about the user-name, your results could also be taken out of context (just like mine), by random internet readers unfamiliar with us, ... in your case as the Palermo and Trapani population average.
New Deep Dive
https://1.bp.blogspot.com/-v8SqfpUA_SA/XxBUqg642qI/AAAAAAAAEWI/K5cWrmoxnzoMTXQ0vgtvzqIsCiecZaWMwCLcBGAsYHQ/s1600/Niedertiefenchbach22.jpeg
Another news results
109. Bronze Age Niederergheim France
860 BC - Genetic Distance: 15.62 - NIED
Top
99 % match vs all users
Ligurian + Latin (5.594)
Ligurian + Gallo-Roman (5.747)
Gallo-Roman + Latin (6.517)
Ligurian (6.94)
Ligurian + Rhaeti (7.024)
Ligurian + Etruscan (7.078)
Latin (8.72)
Gallo-Roman (9.477)
Etruscan (11.02)
Rhaeti (11.76)
105. Iron Age Erstein France
250 BC - Genetic Distance: 15.45 - ERS86
Top
82 % match vs all users
Visigoth + Etruscan (6.284)
Etruscan + Frank (6.474)
Gallo-Roman + Frank (7.066)
Visigoth + Gallo-Roman (7.146)
Frank + Illyrian (7.727)
Gallo-Roman (9.862)
Frank (11.27)
Illyrian (11.51)
Visigoth (12.29)
Etruscan (12.44)
234. Oppidium Plan-de-la-Tour France
425 BC - Genetic Distance: 19.48 - PT2
Top
90 % match vs all users
Celt + Aquitani (6.804)
Celt (7.416)
Celt + Celtiberian (8.045)
Celt + Belgae (8.754)
Celt + Vascones (8.762)
Belgae + Celtiberian (9.559)
Vascones (11.39)
Celtiberian (14.14)
Belgae (14.61)
Aquitani (15.89)
98. Belgic Tribe Erstein France
250 BC - Genetic Distance: 15.2 - ERS1164
Top
86 % match vs all users
Belgae (Genetic match)
99. Quinquiris Bronze Age Aude France
1500 BC - Genetic Distance: 15.21 - QUIN234
Top
98 % match vs all users
Rhaeti + Etruscan (7.722)
Etruscan (8.012)
Iberian + Gallo-Roman (8.044)
Aquitani + Etruscan (8.214)
Rhaeti (8.758)
Iberian + Etruscan (8.804)
Aquitani + Gallo-Roman (8.915)
Aquitani (11.52)
Iberian (12.71)
Gallo-Roman (14.15)
111. Quinquiris Bronze Age Aude France
1200 BC - Genetic Distance: 15.68 - QUIN58
Top
99 % match vs all users
Gallo-Roman + Boii (11.87)
Belgae + Etruscan (12.91)
Belgae + Gallo-Roman (13.07)
Boii + Etruscan (13.39)
Gallo-Roman (13.62)
Rhaeti + Boii (13.99)
Boii (16.15)
Belgae (16.36)
Rhaeti (16.81)
Etruscan (17.37)
In Spain the Quinquis are the nomadic tribe of the merchants of unknown origin, I imagine that they will not have any relationship and the similarity with the name will be coincidence.
Mycenaean_19033 compared to R437
https://i.imgur.com/yiOWlxl.png
Palermo Trapani
17-07-20, 14:18
It’s OK, we Catholics have mastered a loophole: ‘Confession’ :grin:
... about the user-name, your results could also be taken out of context (just like mine), by random internet readers unfamiliar with us, ... in your case as the Palermo and Trapani population average.
Yes, we have!. Oh I agree, most don't know that Salento would just be capturing everything from Brindisi down to further South and across the peninsula in that part of Puglia.
Mycenaean_I9033's timeline, interestingly he has links to Sicily Beaker, and many Romans across all eras.
https://i.imgur.com/SDeiRyd.png
Palermo Trapani
17-07-20, 15:37
Jovialis: Good data. Got and idea and ran Dodecad 12B Sicilian_Beaker_I4930 distances vs. Ancient Greeks. Considering the Greek colonization is not till 700-800BC in Southern Italy and Sicily, already similar type ancestry well before that colonization and the Roman Imperial Age.
Distance to:
I4930_Bronze_Age_Beaker_Sicily
5.09041256
I9129_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
9.36654686
I9005_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete
12.20272511
I9010_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
12.53561327
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
12.97564642
I9006_Bronze_Age_Mycenaean_Agia_Kyriaki_Salamis
13.00133070
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
13.48439839
I9130_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
17.38588508
I9131_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
20.39619818
I9127_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
22.27566161
I9128_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
22.78108645
I9123_Bronze_Age_Armenoi_Crete
Sicilian_Beaker_I4930 distances using Eurogenes K13
Distance to:
Siclian_Beaker_I4930
11.67473768
I9033_Mycenaean_1352_bc_M_
17.30720081
I9041_Greece_Mycenaean_3250_ybp
17.53346229
I9006_Greece_Mycenaean_3287_ybp
17.57622542
I9010_Mycenaean_1351_bc_
18.00509372
I9005_Greece_Minoan_Lassithi_4000_ybp
21.16681365
I0071_Greece_Minoan_Lassithi_4000_ybp
21.54336557
I0070_Greece_Minoan_Lassithi_4000_ybp
23.77328963
I0074_Greece_Minoan_Lassithi_4000_ybp
24.37248038
I0073_Greece_Minoan_Lassithi_4000_ybp
^Indeed, it lends support to my speculation that the native Southern Italians were already Greek-like, prior to Greek colonization.
Palermo Trapani
17-07-20, 16:53
^Indeed, it lends support to my speculation that the native Southern Italians were already Greek-like, prior to Greek colonization.
I agree with your speculation. It also goes against the narrative regarding the 31 of the 48 Imperial Romans that clustered Central Italy, Southern Italy, to Malta then to Greece. When the Roman Republic began to incorporate Campania around 320-300BC, Puglia 275 BC, by 264 BC, extended to the Straights of Messina and Sicily by 264 BC (First punic war) to 241 Sicily was fully in Roman hands 238 Sardinia was. Those 31 Imperial Romans, and even those 2 or 3 Iron Age clustering where they do is no surprise. So folks just have an issue with it because it goes against all they held dear.
Of course the peak of Roman Civilization in terms of political, economic, military and geographical territory was Imperial Rome, historians put the date at 117AD during Trajan's rule.
I agree with your speculation. It also goes against the narrative regarding the 31 of the 48 Imperial Romans that clustered Central Italy, Southern Italy, to Malta then to Greece. When the Roman Republic began to incorporate Campania around 320-300BC, Puglia 275 BC, by 264 BC, extended to the Straights of Messina and Sicily by 264 BC (First punic war) to 241 Sicily was fully in Roman hands 238 Sardinia was. Those 31 Imperial Romans, and even those 2 or 3 Iron Age clustering where they do is no surprise. So folks just have an issue with it because it goes against all they held dear.
Of course the peak of Roman Civilization in terms of political, economic, military and geographical territory was Imperial Rome, historians put the date at 117AD during Trajan's rule.
Most people only have a level 100 IQ, so I doubt many possess the mental gymnastics to understand the data.
https://1.bp.blogspot.com/-RMDPrgQg60I/XxI8KU-gEmI/AAAAAAAAEWU/RD4XdbN-9FAVmwB1tji1aJrlh_27p8ieACLcBGAsYHQ/s1600/CooperAgeSzigetszentmiklosHungaryI7043.JPEG
https://1.bp.blogspot.com/-gpCdoSgrDaA/XxI8Rn319xI/AAAAAAAAEWY/cPceIiCaoI0pjPvPZOs0ldOLMdQmfAGngCLcBGAsYHQ/s1600/CooperAgeSzigetszentmiklosI7040.JPEG
These new results connect me with several European royal houses; although it is something that is not a surprise for me. Perhaps from the outside they do not quite understand certain aspects of Europe such as the nobility or the monarchy but well I explain it to you. It is something that we take with total naturalness since, as society, monarchies also adapt to the times.
Since Europe tends to create so much expectation, perhaps due to its history and the variety of countries that are so active, and there are so many admirers that from abroad they shape Europe or design it according to their preferences, preferences or tastes, since a little clarification is enough for them to capture the reality and bear in mind that Europe is molded by Europeans day after day, year after year and century after century and millennium after millennium.
@Carlos
I checked, ... no Royal relations for me, I get some of the Villas samples, but they were probably the Gardners, ... there’s nothing wrong with that :satisfied:
Philistine_ASH068's timeline.
https://i.imgur.com/GvF2CV2.png
Palermo Trapani
21-07-20, 19:00
Philistine_ASH068's timeline.
https://i.imgur.com/GvF2CV2.png
Very interesting, many of those show up in my Ancestral Timeline at MTA. ASH068 is definitely admixture wise much different than the other ASH samples, more related to the Anatolian EEF type ancestry, which is why I think I, and you as well, get closer genetic distances to ASH068 vs. other ASH samples.
That is really neat you have all the Kits from these ancient West Eurasians to run kit comparisons. Thanks for sharing that with the board.
... still missing from MTA: R113 and R836 ... they shouldn’t be far from modern day Apulian-like, I think!
Unless I am not getting them in my results, but I doubt it :)
https://i.imgur.com/IIuf6YD.jpg
MTA gives me R1548 as my first match, despite the fact every other calculator puts me far from it. Something is wrong with MTA in this regard:
https://i.imgur.com/QejVBiQ.png
Palermo Trapani
23-07-20, 16:45
Jovialis/Salento: Did you both get the GEDMATCH cyberbreach alert message? I got one saying that someone(Something, some entity) hacked into GEDMATCH and set all settings to available for law enforcement. They said they also alerted MTA who I guess they have a professional type alliance where they work together but I have not heard anything from MTA.
GEDMATCH has their system shut down as of this morning 23, July
MTA gives me R1548 as my first match, despite the fact every other calculator puts me far from it. Something is wrong with MTA in this regard:
https://i.imgur.com/QejVBiQ.png
... same MTA top Match as yours,
... with Vahaduo top 25, R1548 shows up only in Eurogenes K15 at the #16th position,
Despite the MTA results, we’re not close to R1548, ... the site needs tweaking, I think :)
https://i.imgur.com/wKknAWJ.jpg
Jovialis/Salento: Did you both get the GEDMATCH cyberbreach alert message? I got one saying that someone(Something, some entity) hacked into GEDMATCH and set all settings to available for law enforcement. They said they also alerted MTA who I guess they have a professional type alliance where they work together but I have not heard anything from MTA.
GEDMATCH has their system shut down as of this morning 23, July
... got the GedMatch email alert too, ... no MTA Alert, maybe MTA wasn’t a target.
Palermo Trapani
23-07-20, 17:32
... got the GedMatch email alert too, ... no MTA Alert, maybe MTA wasn’t a target.
Ok, thanks Salento. So seems legit.
Ok, thanks Salento. So seems legit.
... the email says MyHeritage, ... it doesn’t mention MTA.
Palermo Trapani
23-07-20, 17:41
... the email say MyHeritage, ... doesn’t mention MTA.
You are correct, went back and re-read it, not MTA, MyHeritage is the one (which I don't have an account with). You have one of those as well.
You are correct, went back and re-read it, not MTA, MyHeritage is the one (which I don't have an account with). You have one of those as well.
I don’t have a working account with MyHeritage, ... I Think.
Dear GEDmatch member,
On the morning of July 19, GEDmatch experienced a security breach orchestrated through a sophisticated attack on one of our servers via an existing user account. We became aware of the situation a short time later and immediately took the site down. As a result of this breach, all user permissions were reset, making all profiles visible to all users. This was the case for approximately 3 hours. During this time, users who did not opt-in for law enforcement matching were available for law enforcement matching, and, conversely, all law enforcement profiles were made visible to GEDmatch users.
On Monday, July 20, as we continued to investigate the incident and work on a permanent solution to safeguard against threats of this nature, we discovered that the site was still vulnerable and made the decision to take the site down until such time that we can be absolutely sure that user data is protected against potential attacks. It was later confirmed that GEDmatch was the target of a second breach in which all user permissions were set to opt-out of law enforcement matching.
We can assure you that your DNA information was not compromised, as GEDmatch does not store raw DNA files on the site. When you upload your data, the information is encoded, and the raw file deleted. This is one of the ways we protect our users’ most sensitive information.
Further, we are working with a leading cybersecurity firm to conduct a comprehensive forensic review and help us implement the best possible security measures. We expect the site will be up within the next day or two.
We have reported the unauthorized access to the appropriate authorities and continue to work toward identifying the individuals responsible for this criminal act.
Today, we were informed that MyHeritage customers who are also GEDmatch users were the target of a phishing scam. Please remember to exercise caution when opening emails and clicking links. Never provide sensitive information via email. If an email seems suspicious, contact the company in question directly through the phone number or email address listed on their website, not via a reply to the suspicious email. You can reach GEDmatch at
[email protected] or (858) 285-4101 (tel:(858) 285-4101). At this time, we have no evidence to suggest the phishing scam is a result of the GEDmatch security breach this week. We are continuing to investigate the incident.
Please be assured that we take these matters very seriously. Our Number 1 responsibility is to protect the data of our users. We know we have not lived up to this responsibility this week, and we are working hard to regain your trust. We apologize for the concern and frustration this situation has caused.
Sincerely,
Brett Williams
CEO, Verogen Inc.
I never open links from emails. There are many scams with emails from Pay Pal e.t.c.
If Gedmatch has been outwitted, it means they can find me now.
What can I do, where am I going to go with all this from Covid?
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