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View Full Version : Any mtDNA Y people admixure into India or South Asia ?



tipirneni
02-26-2019, 04:19 PM
mtDNA Y is found all along NE Asia coast, Kamchatkha, Korea, some in Indonesia, Philipines, East Europe, Germany, Japan, Czech, Poland, Slovakia, Russia etc....

Lentz male Y mt DNA came to be found in Germany, as well as within the Yamnaya ancient remains found north of the Black Sea in Russia from some 3,500 years ago.


On my GED match I have some Danish or Norway person mixed with Philipino that has Y2 matching big segments. Does it indicate that these people mixed big into South Indians due to Sea trade during Pallava & later Chola time ?

https://kaipullaispeaks.files.wordpress.com/2011/09/rajendra_map_new.png?w=585


Admix calculator says the person is

50% Filipino_ +50% North_German_ @ 4.089948
Using 3 populations approximation:
1 50% Filipino_ +25% French_ +25% Lithuanian_ @ 3.461955

So probably a mixed person, but match comes out pretty big

Largest segment = 14.1 cM
Total Half-Match segments (HIR) = 187.7 cM (5.238 Pct)
65 shared segments found for this comparison.
156134 SNPs used for this comparison.

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This article at WikiPedia provides a chart of where mtDNA haplogroup Y has been found in academic studies, along with the following verbiage:

Haplogroup Y has been found with high frequency in many indigenous populations who live around the Sea of Okhotsk, including approximately 66% of Nivkhs, approximately 38% of Ulchs, approximately 21% of Negidals, and approximately 20% of Ainus. It is also fairly common among indigenous peoples of the Kamchatka Peninsula (Koryaks, Itelmens) and Maritime Southeast Asia.

The distribution of haplogroup Y in populations of the Malay Archipelago contrasts starkly with the absence or extreme rarity of this haplogroup in populations of continental Southeast Asia in a manner reminiscent of haplogroup E. However, the frequency of haplogroup Y fades more smoothly away from its maximum around the Sea of Okhotsk in Northeast Asia, being found in approximately 2% of Koreans and in South Siberian and Central Asian populations with an average frequency of 1%.

Its subclade Y2 has been observed in 40% (176/440) of a large pool of samples from Nias in western Indonesia, ranging from a low of 25% (3/12) among the Zalukhu subpopulation to a high of 52% (11/21) among the Ho subpopulation.

tipirneni
03-17-2019, 04:52 AM
Another Y1b sample is matching big segments 17.1cM on default settings in Genesis. Looks part Japanese & european

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 35.79
2 West_European 25.55
3 Northeast_Asian 13.29
4 Mediterranean 12.74
5 East_European 5.37
6 West_Asian 4.65
7 South_Asian 1.08
8 Southwest_Asian 0.79
9 Palaeo_African 0.34
10 Neo_African 0.24
11 Northwest_African 0.15
Using 1 population approximation:
1 Kyrgyzstani_Xing @ 26.537922
2 Uygur_HGDP @ 27.572029
3 Hazara_HGDP @ 27.944164
4 Uzbeks_Behar @ 32.246117
5 Altai_Rasmussen @ 32.665195
6 Mongol_Rasmussen @ 34.397724
7 Buryat_Xing @ 40.947376
8 Tuva_Rasmussen @ 41.679531
9 Mongola_HGDP @ 42.025677
10 Xibo_HGDP @ 42.460915
11 Buryat_Rasmussen @ 44.192307
12 Daur_HGDP @ 44.295197
13 Nepalese_Xing @ 44.846706
14 Tu_HGDP @ 45.104717
15 Slovenian_Xing @ 45.443413
16 Hezhen_HGDP @ 45.587532
17 Hungarians_Behar @ 46.567097
18 Dolgan_Rasmussen @ 47.063324
19 Nysha_Reich @ 47.380245
20 Tuscan_Xing @ 47.611862

Using 2 populations approximation:
1 50% CEU_HapMap +50% Japanese_Dodecad @ 1.939486


Using 3 populations approximation:
1 50% CEU_HapMap +25% Japanese_Dodecad +25% Japanese_Dodecad @ 1.939486


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++
1 Cornwall_1000 Genomes + Japanese_Dodecad + Japanese_Dodecad + Slovenian_Xing @ 1.891497
2 French_HGDP + German_Dodecad + Japanese_Dodecad + Japanese_Dodecad @ 1.933746
3 CEU_HapMap + CEU_HapMap + Japanese_Dodecad + Japanese_Dodecad @ 1.939486
4 CEU_HapMap + Japanese_Dodecad + Japanese_Dodecad + N._European_Xing @ 1.968561
5 Japanese_Dodecad + Japanese_Dodecad + Kent_1000 Genomes + Slovenian_Xing @ 1.983981
6 Cornwall_1000 Genomes + Japanese_Dodecad + Korean_Dodecad + Slovenian_Xing @ 2.001185
7 CHB_HapMap + Cornwall_1000 Genomes + Hezhen_HGDP + Slovenian_Xing @ 2.024498
8 British_Dodecad + Japanese_Dodecad + Japanese_Dodecad + Slovenian_Xing @ 2.031660
9 Daur_HGDP + French_HGDP + German_Dodecad + Han_HGDP @ 2.040189
10 Cornwall_1000 Genomes + Han_HGDP + Hezhen_HGDP + Slovenian_Xing @ 2.049537
11 CEU_HapMap + Daur_HGDP + Han_HGDP + N._European_Xing @ 2.056671
12 French_HGDP + German_Dodecad + Han_HGDP + Hezhen_HGDP @ 2.058275
13 Cornwall_1000 Genomes + Hezhen_HGDP + Slovenian_Xing + Vietnamese_Xing @ 2.061187
14 CHB_HapMap + Hezhen_HGDP + Kent_1000 Genomes + Slovenian_Xing @ 2.063226
15 French_HGDP + German_Dodecad + Japanese_Dodecad + Korean_Dodecad @ 2.063794
16 CEU_HapMap + CEU_HapMap + Japanese_Dodecad + Korean_Dodecad @ 2.065510
17 CEU_HapMap + CEU_HapMap + Daur_HGDP + Han_HGDP @ 2.065709
18 Japanese_Dodecad + Kent_1000 Genomes + Korean_Dodecad + Slovenian_Xing @ 2.066775
19 CEU_HapMap + Japanese_Dodecad + Korean_Dodecad + N._European_Xing @ 2.067113
20 CEU_HapMap + CEU_HapMap + CHB_HapMap + Hezhen_HGDP @ 2.069314

tipirneni
03-17-2019, 04:54 AM
Another Y1b sample is matching big segments 17.1cM on default settings in Genesis. Looks part Japanese & european

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 35.79
2 West_European 25.55
3 Northeast_Asian 13.29
4 Mediterranean 12.74
5 East_European 5.37
6 West_Asian 4.65
7 South_Asian 1.08
8 Southwest_Asian 0.79
9 Palaeo_African 0.34
10 Neo_African 0.24
11 Northwest_African 0.15
Using 1 population approximation:
1 Kyrgyzstani_Xing @ 26.537922
2 Uygur_HGDP @ 27.572029
3 Hazara_HGDP @ 27.944164
4 Uzbeks_Behar @ 32.246117
5 Altai_Rasmussen @ 32.665195
6 Mongol_Rasmussen @ 34.397724
7 Buryat_Xing @ 40.947376
8 Tuva_Rasmussen @ 41.679531
9 Mongola_HGDP @ 42.025677
10 Xibo_HGDP @ 42.460915
11 Buryat_Rasmussen @ 44.192307
12 Daur_HGDP @ 44.295197
13 Nepalese_Xing @ 44.846706
14 Tu_HGDP @ 45.104717
15 Slovenian_Xing @ 45.443413
16 Hezhen_HGDP @ 45.587532
17 Hungarians_Behar @ 46.567097
18 Dolgan_Rasmussen @ 47.063324
19 Nysha_Reich @ 47.380245
20 Tuscan_Xing @ 47.611862

Using 2 populations approximation:
1 50% CEU_HapMap +50% Japanese_Dodecad @ 1.939486


Using 3 populations approximation:
1 50% CEU_HapMap +25% Japanese_Dodecad +25% Japanese_Dodecad @ 1.939486


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++
1 Cornwall_1000 Genomes + Japanese_Dodecad + Japanese_Dodecad + Slovenian_Xing @ 1.891497
2 French_HGDP + German_Dodecad + Japanese_Dodecad + Japanese_Dodecad @ 1.933746
3 CEU_HapMap + CEU_HapMap + Japanese_Dodecad + Japanese_Dodecad @ 1.939486
4 CEU_HapMap + Japanese_Dodecad + Japanese_Dodecad + N._European_Xing @ 1.968561
5 Japanese_Dodecad + Japanese_Dodecad + Kent_1000 Genomes + Slovenian_Xing @ 1.983981
6 Cornwall_1000 Genomes + Japanese_Dodecad + Korean_Dodecad + Slovenian_Xing @ 2.001185
7 CHB_HapMap + Cornwall_1000 Genomes + Hezhen_HGDP + Slovenian_Xing @ 2.024498
8 British_Dodecad + Japanese_Dodecad + Japanese_Dodecad + Slovenian_Xing @ 2.031660
9 Daur_HGDP + French_HGDP + German_Dodecad + Han_HGDP @ 2.040189
10 Cornwall_1000 Genomes + Han_HGDP + Hezhen_HGDP + Slovenian_Xing @ 2.049537
11 CEU_HapMap + Daur_HGDP + Han_HGDP + N._European_Xing @ 2.056671
12 French_HGDP + German_Dodecad + Han_HGDP + Hezhen_HGDP @ 2.058275
13 Cornwall_1000 Genomes + Hezhen_HGDP + Slovenian_Xing + Vietnamese_Xing @ 2.061187
14 CHB_HapMap + Hezhen_HGDP + Kent_1000 Genomes + Slovenian_Xing @ 2.063226
15 French_HGDP + German_Dodecad + Japanese_Dodecad + Korean_Dodecad @ 2.063794
16 CEU_HapMap + CEU_HapMap + Japanese_Dodecad + Korean_Dodecad @ 2.065510
17 CEU_HapMap + CEU_HapMap + Daur_HGDP + Han_HGDP @ 2.065709
18 Japanese_Dodecad + Kent_1000 Genomes + Korean_Dodecad + Slovenian_Xing @ 2.066775
19 CEU_HapMap + Japanese_Dodecad + Korean_Dodecad + N._European_Xing @ 2.067113
20 CEU_HapMap + CEU_HapMap + CHB_HapMap + Hezhen_HGDP @ 2.069314

Matching 246cM on 156K kit

at 100/1cM

Largest segment = 8.7 cM

Total Half-Match segments (HIR) = 246.1 cM (6.866 Pct)

83 shared segments found for this comparison.

155902 SNPs used for this comparison.

49.876 Pct SNPs are full identical

tipirneni
05-20-2020, 10:06 PM
My DNA when matched with Ulchi-Nizhniy_Gavan sample which is Y1a shows big hits.
On .5 cM Q match I get
Total cM: 457.36
Largest segment cM: 3.57
Total segments: 446

Few segments over 500 SNPS

https://indo-european.eu/wp-content/uploads/2018/10/ulchi-marital.jpg