DNA Analysis of my past

OverviewAutosomal DNA testing is the method by which you can trace your ancestry by having your autosomes analyzed.  Autosomal DNA is inherited from both parents, but Y-chromosomal DNA (Y-DNA) is inherited only from father to son, and mitochondrial DNA (mtDNA) is inherited only from our mother.

Results:

Following are the results. Based on autosomal analysis there are elements of Haihaya race, Cholas/Telugu Cholas, Elam, Pallava/Kambojas in the results. 

Pallavas and Cholas ruled over wide areas in South East Asia and in South India. Kambhoja/Pallava had Altaic, Caucasian and Siberian ancestry. Haihaya were part of Yadu tribe and match to wide set of kings in India especially Gujarat, Karnataka, MP/Maha, UP, Rajastan, Chattisgarh etc…

Nandi coins of Kalachuri Haihayas and Pallavas.



y HAPLOGROUP H1a1
Y Haplogroup H and it’s sub clades appear to be around 30,000 to 40,000 years old. 

H and sub clades appear to primarily be found in South Asia and the Middle East. The only known H* population of Europe are the Roma / Romany Gypsy people who are confirmed to be in Y Haplogroup H1a – M82. By some estimates the Romany version of Y Haplogroup H1a1 – M82 maybe only 2000 years old.



mtDNA HAPLOGROUP U2


U2 is a rare and interesting haplogroup. There was a U2 sample found in ancient remains dating to about 35,000 years ago at Kostenki, Russia. Around that time U2 appears to have spread both to Europe and to south Asia. Several suclades (U2a, U2b and U2c) are found most often in south Asia. U2d is found mostly in the Near East and southwest Asia, and U2e is found mostly in Europe. It is estimated to be about 19,000 years old and it might have been among early Europeans, or it might have migrated to Europe with Neolithic farmers or herders.


U2 overall correlates best to the ANE (WHG, IMO, is related but later) component present in Europe. ANE significantly overlaps India and Europe, the two places where U2 is also present. ANE shows no affinity to the SW Asian components (part EEF, and something termed basal Eurasian). ANE did enter northern parts of West Asia, especially the Caucasus, but that is in the post-Neolithic timeframe – as Stuttgart has no ANE. 


The provenance of the ancient U2 (from Jean’s compilation) are in concordance with the ANE scenario:
Russia Kostenki 14 U2 11467, 12308, 12372, 1811, 16051
Germany Blätterhöhle, Hagen 11000ybp U2eSweden Motala 2 8000ybp U2e1
Russia 7500 ybp U2e 2 samplesSweden Motala 12 8000ybp U2e

So that seems to confirm multiple waves of migration of U2e into Europe. We know that U2e was in Europe by 11 kya, but U2e almost certainly did not arrive in Europe until after the LGM (unless the age estimate for U2e is significantly wrong). U2e originated in the Black Sea/Caspian Sea refuge 20 kya, and then expanded into India and western Europe after the LGM. The Mesolithic European U2e might have been mostly replaced during the Neolithic, and another wave of U2e associated with Indo-Europeans expanded into Europe in the Bronze age. 
U4 is another group that seems to have expanded from the East European plain after the LGM, and U5 seems to have expanded from western Europe to the east after the LGM. As the ice retreated and bands of hunter-gatherers expanded northward in both western and eastern Europe, it seems possible that there could have been east-west diffusion of U5, U4 and U2e. But the LGM origin of U2e would have been in a southern refuge, perhaps around the Black Sea and Caspian Sea, and this could also explain its early arrival in India and Pakistan. 


Kostenki has 4 extra mutations (at markers 542, 711, 13269, & 15262) so it forms its own subclade parallel to U2a, U2b, U2e etc. So this suggests that U2 was widespread, perhaps from Russia to India, with at least 6 different lineages surviving ca 35 kya. The ancestor of U2e was one of those lineages, but the MRCA of U2e probably lived around 20 kya almost certainly somewhere in southwest Asia. 

Autosomal analysis

MDLP K23b Oracle Rev 2014 Sep 16



Admix Results (sorted):


# Population Percent

1 South_Indian 57.73

2 South_Central_Asian 32.25

3 Caucasian 3.84

4 Tungus-Altaic 2.09

5 Melano_Polynesian 1.83

6 East_Siberian 1.13



Finished reading population data. 620 populations found.

23 components mode.


——————————–


Least-squares method.


Using 1 population approximation:

1 GujaratiD_GIH_ @ 3.736310

2 Velamas_ @ 4.651088

3 Velama_ @ 5.156967

4 Punjabi_Lahore_PJL_ @ 5.980797

5 Lambadi_ @ 6.006914

6 GujaratiC_GIH_ @ 6.677832

7 Telugu_Kannada_ @ 7.009757

8 Kanjar_ @ 7.088082

9 Bengali_ @ 7.657912

10 Dharkar_ @ 7.682353

11 Meghawal_ @ 7.834942

12 TN_Brahmin_ @ 8.407625

13 Srivastava_ @ 8.646338

14 Piramalai_Kallar_ @ 9.188696

15 Naidu_ @ 10.071475

16 Marwadi_Middle_caste_ @ 10.241793

17 Muslim_India_ @ 10.359948

18 Brahmin_Tamil_ @ 10.717767

19 Brahmins_UP_ @ 11.587666

20 Lodhi_ @ 11.936786


Using 2 populations approximation:

1 50% GujaratiD_GIH_ +50% Velama_ @ 3.722667



Using 3 populations approximation:

1 50% Piramalai_Kallar_ +25% Punjabi_Gujjar_ +25% Vysya_ @ 3.181633



Using 4 populations approximation:

+++++++++++++++++++++++++

1 Pakistani_ + Velama_ + Velamas_ + Vysya_ @ 3.036024

2 Pakistani_ + Velamas_ + Velamas_ + Vysya_ @ 3.043674

3 Piramalai_Kallar_ + Punjabi_Gujjar_ + Velama_ + Vysya_ @ 3.078188

4 Brahmin_Tamil_ + Velama_ + Velamas_ + Velamas_ @ 3.109920

5 Pakistani_ + Velama_ + Velama_ + Vysya_ @ 3.111543

6 Punjabi_Gujjar_ + Velamas_ + Vysya_ + Vysya_ @ 3.128267

7 Piramalai_Kallar_ + Punjabi_Gujjar_ + Velamas_ + Vysya_ @ 3.128717

8 Naidu_ + Punjabi_Gujjar_ + Velama_ + Vysya_ @ 3.143112

9 Brahmin_Tamil_ + Velamas_ + Velamas_ + Velamas_ @ 3.143669

10 Pakistani_ + Piramalai_Kallar_ + Piramalai_Kallar_ + Velama_ @ 3.149175

11 Naidu_ + Punjabi_Gujjar_ + Velamas_ + Vysya_ @ 3.154916

12 Brahmin_Tamil_ + GujaratiD_GIH_ + Velama_ + Velama_ @ 3.161455

13 GujaratiD_GIH_ + Punjabi_Gujjar_ + Vysya_ + Vysya_ @ 3.162226

14 Sindhi_ + Velama_ + Vysya_ + Vysya_ @ 3.167185

15 Pakistani_ + Piramalai_Kallar_ + Piramalai_Kallar_ + Velamas_ @ 3.171693

16 Naidu_ + Pakistani_ + Piramalai_Kallar_ + Velamas_ @ 3.178530

17 Piramalai_Kallar_ + Piramalai_Kallar_ + Punjabi_Gujjar_ + Vysya_ @ 3.181633

18 Brahmin_Tamil_ + Velama_ + Velama_ + Velamas_ @ 3.181908

19 Naidu_ + Pakistani_ + Piramalai_Kallar_ + Velama_ @ 3.182143

20 Brahmin_Tamil_ + GujaratiD_GIH_ + Velama_ + Velamas_ @ 3.187350


=========================================================

ALTERNATE ANALYSIS WITH FEWER POPULATION
MDLP K16 2xOracle and OracleX4


Kit TXXXXX


Admix Results (sorted):


# Population Percent

1 Indian 68.41

2 Caucasian 13.67

3 SouthEastAsian 9.01

4 Siberian 2.96

5 Australian 2.49

6 Oceanic 1.94

7 Steppe 0.99

8 Amerindian 0.52


Single Population Sharing:


# Population (source) Distance

1 Marwadi (Rajasthan) 2.98

2 Scheduled_Caste (Tamil_Nadu) 4.28

3 Velama (Andhra_Pradesh) 4.3

4 Piramalai_Kallars (Tamil_Nadu) 5.38

5 Naidu (Tamil_Nadu) 5.6

6 Gupta (Rajput) 5.82

7 Kanjars (Punjab) 5.87

8 Muslim (India) 6.12

9 Dharkar (Uttar_Pradesh) 6.18

10 Vysya (India) 6.72

11 Lodi (Pakistan) 6.76

12 Tharu (Nepal) 6.76

13 Thakur (Maharashtra) 6.81

14 Scheduled_Caste (Uttar_Pradesh) 6.92

15 Dusadh (Uttar_Pradesh) 6.95

16 Kurmi (Nepal) 6.97

17 Balija (Andhra_Pradesh) 7.01

18 Hallaki (Â Uttara_Kannada) 7.1

19 GujaratiB (Gujarat) 7.32

20 Lambadi (Karnataka) 7.55


Mixed Mode Population Sharing:


#   Primary Population (source) Secondary Population (source) Distance

1  85.5% Marwadi (Rajasthan) + 14.5% GujaratiD (Gujarat) @ 2.49

2  83.7% Marwadi (Rajasthan) + 16.3% GujaratiC (Gujarat) @ 2.57

3  88.2% Marwadi (Rajasthan) + 11.8% Punjabi (Lahore) @ 2.66

4  71.6% Marwadi (Rajasthan) + 28.4% Scheduled_Caste (Tamil_Nadu@ 2.67

5  79.9% Marwadi (Rajasthan) + 20.1%Piramalai_Kallars (Tamil_Nadu)@ 2.75

6  84% Marwadi (Rajasthan) + 16% Naidu (Tamil_Nadu) @ 2.84

7  88.2% Marwadi (Rajasthan) + 11.8% Dusadh (Uttar_Pradesh)@ 2.86

8  99.2% Marwadi (Rajasthan) + 0.8% Melanesian (Bougainville) @ 2.86

9  91.6% Marwadi (Rajasthan) + 8.4% Sakilli (Tamil_Nadu) @ 2.87

10   93% Marwadi (Rajasthan) + 7% Madiga (Telangana) @ 2.88

11   92.6% Marwadi (Rajasthan) + 7.4% North_Kannadi (Kerala) @ 2.88

12  93.1% Marwadi (Rajasthan) + 6.9% Chamar (Uttar_Pradesh) @ 2.89

13  94.8% Marwadi (Rajasthan) + 5.2% Bengali (Bangladesh_BEB) @ 2.89

14  93.7% Marwadi (Rajasthan) + 6.3% Bhil (Maharashtra) @ 2.91

15  83.3% Marwadi (Rajasthan) + 16.7%Velama (Andhra_Pradesh) @ 2.91

16   94.5% Marwadi (Rajasthan) + 5.5% Hakkipikki (Karnataka) @ 2.92

17   92.9% Marwadi (Rajasthan) + 7.1% Kamsali (Andra_Pradesh)@ 2.93

18   93.3% Marwadi (Rajasthan) + 6.7% Kol (Uttar_Pradesh) @ 2.93

19   90.6% Marwadi (Rajasthan) + 9.4% Gupta (Rajput) @ 2.94

20   92.8% Marwadi (Rajasthan) + 7.2% Kurmi (Nepal) @ 2.94


-==============================================

Alternate international analysisDodecad K7b Oracle results:

Kit TXXXXX


Admix Results (sorted):


# Population Percent

1 South_Asian 62.66

2 West_Asian 34.01

3 Siberian 1.35

4 East_Asian 1.33

5 Southern 0.65


Single Population Sharing:


# Population (source) Distance

1 GIH30 (Dodecad) 2.74

2 INS30 (SGVP) 2.77

3 Velamas (Metspalu) 3.23

4 Tharus (Metspalu) 5.29

5 Dharkars (Metspalu) 6.12

6 Tamil_Nadu_Scheduled_Caste (Metspalu) 6.99

7 Iyer (Dodecad) 7.01

8 Muslim (Metspalu) 7.07

9 Kanjars (Metspalu) 7.1

10 Iyengar (Dodecad) 7.19

11 Indian (Dodecad) 7.31

12 Kurumba (Metspalu) 7.73

13 Brahmins_from_Tamil_Nadu (Metspalu) 7.93

14 Uttar_Pradesh_Scheduled_Caste (Metspalu) 9.42

15 Dusadh (Metspalu) 9.78

16 Piramalai_Kallars (Metspalu) 9.93

17 Kshatriya (Metspalu) 11.65

18 Kol (Metspalu) 11.74

19 Cochin_Jews (Behar) 12.35

20 Chenchus (Metspalu) 14.42


Mixed Mode Population Sharing:


#   Primary Population (source) Secondary Population (source) Distance

1   94.7% Velamas (Metspalu) + 5.3% Turkmens (Yunusbayev) @ 1.11

2   85.2% Kurumba (Metspalu) + 14.8% Brahui (HGDP) @ 1.15

3   85.2% Kurumba (Metspalu) + 14.8% Balochi (HGDP) @ 1.26

4   91.4% Velamas (Metspalu) + 8.6% Burusho (HGDP) @ 1.31

5   95.6% Velamas (Metspalu) + 4.4% Nogais (Yunusbayev) @ 1.34

6   94.6% Velamas (Metspalu) + 5.4% Tajiks (Yunusbayev) @ 1.36

7   95.5% Velamas (Metspalu) + 4.5% Uzbeks (Behar) @ 1.39

8   95.7% Velamas (Metspalu) + 4.3% North_Ossetians (Yunusbayev) @ 1.4

9   95.7% Velamas (Metspalu) + 4.3% Balkars (Yunusbayev) @ 1.41

10   95.4% Velamas (Metspalu) + 4.6% Hazara (HGDP) @ 1.45

11   95.7% Velamas (Metspalu) + 4.3% Kumyks (Yunusbayev) @ 1.45

12   95.4% Velamas (Metspalu) + 4.6% Iranian (Dodecad) @ 1.47

13   95.6% Velamas (Metspalu) + 4.4% Kurd (Dodecad) @ 1.51

14   95.9% Velamas (Metspalu) + 4.1% Abhkasians (Yunusbayev) @ 1.51

15   95.8% Velamas (Metspalu) + 4.2% Adygei (HGDP) @ 1.52

16   95.4% Velamas (Metspalu) + 4.6% Iranians (Behar) @ 1.52

17   95.9% Velamas (Metspalu) + 4.1% Turks (Behar) @ 1.54

18   96% Velamas (Metspalu) + 4% Georgians (Behar) @ 1.54

19   95.7% Velamas (Metspalu) + 4.3% Kurds (Yunusbayev) @ 1.55

20   95.8% Velamas (Metspalu) + 4.2% Chechens (Yunusbayev) @ 1.56


==========================================

Ancient Eurasia matches

Ancient Eurasia K6 Oracle results:
gedrosia K6 Oracle

Kit Txx


Admix Results (sorted):


# Population Percent

1 Ancestral_North_Eurasian 37.18

2 Ancestral_South_Eurasian 28.92

3 Natufian 20.55

4 East_Asian 13.32

5 Sub_Saharan 0.03


Single Population Sharing:


# Population (source) Distance

1 Punjabi_PJL 2.77

2 GujaratiD 3.8

3 GujaratiC 6.62

4 Bengali 7.48

5 GujaratiB 10.65

6 GujaratiA 13.46

7 Punjabi 14.51

8 Burusho 14.59

9 Sindhi 16.9

10 Pathan 19.6

11 Palliyar 19.92

12 Kalash 20.61

13 Pashtun_Afghan 22.66

14 Kurd_SE 25.13

15 Paniyas 25.56

16 Balochi 26.16

17 Brahui 26.91

18 Tajik 27.25

19 Makrani 28.67

20 Baloch_Iranian 30.75


Mixed Mode Population Sharing:


#   Primary Population (source) Secondary Population (source) Distance

1   95.9% Punjabi_PJL + 4.1% Pima @ 0.82

2   95.5% Punjabi_PJL + 4.5% Clovis @ 0.85

3   96.7% Punjabi_PJL + 3.3% Eskimo @ 0.88

4   66.9% GujaratiD + 33.1% Bengali @ 0.98

5   97.1% Punjabi_PJL + 2.9% Nganasan @ 0.98

6   95.7% Punjabi_PJL + 4.3% Kusunda @ 0.99

7   97.1% Punjabi_PJL + 2.9% Tibetan @ 1

8   96.3% Punjabi_PJL + 3.7% Sherpa @ 1

9   89.9% GujaratiD + 10.1% Kharia @ 1.03

10   97.4% Punjabi_PJL + 2.6% Ulchi @ 1.03

11   97.3% Punjabi_PJL + 2.7% Ami @ 1.03

12   97.4% Punjabi_PJL + 2.6% Han @ 1.04

13   97.4% Punjabi_PJL + 2.6% Dai @ 1.04

14   96.7% Punjabi_PJL + 3.3% Cambodian @ 1.06

15   97.3% Punjabi_PJL + 2.7% Mongola @ 1.09

16   74.6% Punjabi_PJL + 25.4% Bengali @ 1.15

17   96.8% Punjabi_PJL + 3.2% Kalmyk @ 1.16

18   96.5% Punjabi_PJL + 3.5% Altaian @ 1.23

19   96.3% Punjabi_PJL + 3.7% Kyrgyz @ 1.35

20   94.4% GujaratiD + 5.6% Kusunda @ 1.6

Ancient Eurasia K6 4-Ancestors Oracle


This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.

Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com

Original concept proposed by Sergey Kozlov.

Many thanks to Alexandr for helping us get this web version developed.


gedrosia K6 Oracle


Admix Results (sorted):


# Population Percent

1 Ancestral_North_Eurasian 37.18

2 Ancestral_South_Eurasian 28.92

3 Natufian 20.55

4 East_Asian 13.32



Finished reading population data. 136 populations found.

6 components mode.


——————————–


Least-squares method.


Using 1 population approximation:

1 Punjabi_PJL @ 2.847092

2 GujaratiD @ 3.869269

3 GujaratiC @ 6.711767

4 Bengali @ 7.637662

5 GujaratiB @ 10.779576

6 GujaratiA @ 13.664439

7 Punjabi @ 14.699165

8 Burusho @ 14.971711

9 Sindhi @ 17.026245

10 Pathan @ 19.882652

11 Palliyar @ 20.130989

12 Kalash @ 20.914474

13 Pashtun_Afghan @ 23.068459

14 Kurd_SE @ 25.343739

15 Paniyas @ 25.889154

16 Balochi @ 26.328218

17 Brahui @ 27.076447

18 Tajik @ 27.917334

19 Makrani @ 28.867464

20 Baloch_Iranian @ 30.972765


Using 2 populations approximation:

1 50% Bengali +50% GujaratiC @ 1.831478



Using 3 populations approximation:

1 50% Bengali +25% GujaratiC +25% GujaratiC @ 1.831478



Using 4 populations approximation:

+++++++++++++++++++++++++++++++++++++++++++

1 Bengali + GujaratiD + Punjabi_PJL + Punjabi_PJL @ 1.013111

2 Bengali + GujaratiD + GujaratiD + Punjabi_PJL @ 1.084096

3 Bengali + Punjabi_PJL + Punjabi_PJL + Punjabi_PJL @ 1.140579

4 Bengali + GujaratiD + GujaratiD + GujaratiD @ 1.305963

5 Bengali + GujaratiB + GujaratiB + Palliyar @ 1.548610

6 Bengali + GujaratiC + Punjabi_PJL + Punjabi_PJL @ 1.568302

7 Bengali + GujaratiC + GujaratiD + Punjabi_PJL @ 1.750346

8 Burusho + GujaratiB + GujaratiD + Paniyas @ 1.767009

9 Bengali + GujaratiB + Palliyar + Punjabi @ 1.781465

10 Burusho + GujaratiD + GujaratiD + Palliyar @ 1.798610

11 Bengali + Bengali + GujaratiC + GujaratiC @ 1.831478

12 Bengali + Bengali + GujaratiC + GujaratiD @ 1.848223

13 Burusho + GujaratiB + Paniyas + Punjabi_PJL @ 1.853450

14 Burusho + GujaratiC + GujaratiD + Palliyar @ 1.930839

15 Burusho + GujaratiC + Palliyar + Punjabi_PJL @ 1.992579

16 Burusho + GujaratiD + Palliyar + Punjabi_PJL @ 1.995188

17 Bengali + GujaratiC + GujaratiD + GujaratiD @ 2.021405

18 Bengali + Bengali + GujaratiC + Punjabi_PJL @ 2.038647

19 Bengali + GujaratiA + GujaratiB + Palliyar @ 2.043208

20 Bengali + GujaratiB + Palliyar + Sindhi @ 2.081966


=============================================================

mtDNA U2 information and frequency in India

H1a genetic distance between different groups

Distribution of H-M82 (H1a1)

The following gives a summary of most of the studies which specifically tested for M82, showing its distribution in different part of the world


Region/Ethnicity Country/Population Size H1a freq. (%) Reference

East/Southeast Asia Tibet 156 0 Gayden et al. 2007

East/Southeast Asia Cambodia 6 16.67 Sengupta et al. 2006

East/Southeast Asia Cambodia/Laos 18 5.56 Underhill et al. 2000

East/Southeast Asia Japan 23 0 Sengupta et al. 2006

North Asia Siberia 18 0 Sengupta et al. 2006

Middle East and North Africa Qatar 72 1.39 Cadenas et al. 2008

Middle East and North Africa United Arab Emirates 164 1.84 Cadenas et al. 2008

Middle East and North Africa Yemen 62 0 Cadenas et al. 2008

Middle East and North Africa Saudi Arabia 157 0.64 Abu-Amero et al. 2009

Middle East and North Africa Oman 121 0 Abu-Amero et al. 2009

Middle East and North Africa Egypt 147 0 Abu-Amero et al. 2009

Middle East and North Africa Somalia 201 0 Abu-Amero et al. 2009

Middle East and North Africa Lebanese 916 0 Abu-Amero et al. 2009

Middle East and North Africa Jordan 146 0 Abu-Amero et al. 2009

Middle East and North Africa Iraq 203 0 Abu-Amero et al. 2009

Middle East and North Africa Turkish 523 0.19 Cinnioglu et al. 2004

Middle East and North Africa Iran 150 2 Abu-Amero et al. 2009

Middle East and North Africa Iran 938 1.2 Grugni et al. 2012

Roma-Europe Slovakian 62 30.65 Pamjev et al. 2011

Roma-Europe Portuguese 126 16.67 Gusmao et al. 2008

Roma-Europe Kosovo, Belgrade, Vojvodina 88 43.18 Regueiro et al. 2011

Roma-Europe Bulgarian 248 39.52 Gresham et al. 2001

Roma-Europe Spanish 27 18.52 Gresham et al. 2001

Roma-Europe Croatians 377 20.16 Battaglia et al. 2009

Roma-Europe Macedonians 257 13.23 Perièiæ et al. 2005

Roma-Europe Hungarian 424 16.98 Pamjav et al. 2011

Roma-Europe Lithuvenian Roma 20 50 Gresham et al. 2001

Balkans Greeks 92 0 Battaglia et al. 2009

Balkans Albanians 55 0 Battaglia et al. 2009

Balkans Bosniacs 324 0 Battaglia et al. 2009

Balkans Slovenians 75 0 Battaglia et al. 2009

Balkans North-East-Italians 67 0 Battaglia et al. 2009

Balkans Hungarians 53 0 Battaglia et al. 2009

Balkans Czechs 75 0 Battaglia et al. 2009

Balkans Poles 99 0 Battaglia et al. 2009

Balkans Ukrainians 92 1.1 Battaglia et al. 2009

Balkans Herzegovinians 141 0 Perièiæ et al. 2005

Balkans Serbians 113 0.9 Perièiæ et al. 2005

Caucasus Caucasians 1789 0 Yunusbayev et al. 2011

Caucasus Georgians 66 0 Battaglia et al. 2009

Caucasus Balkarians 38 2.6 Battaglia et al. 2009

South Asia Nepal 188 4.25 Gayden et al. 2007

South Asia Afghanistan 204 3.43 Haber et al. 2012

South Asia Malaysian Indians 301 18.94 Pamjav et al. 2011

South Asia Terai-Nepal 197 10.66 Fornarino et al. 2009

South Asia Hindu New Delhi 49 10.2 Fornarino et al. 2009

South Asia Andhra Pradesh Tribals 29 27.6 Fornarino et al. 2009

South Asia Northwest India 842 14.49 Rai et al.2012

South Asia South India 1845 20.05 Rai et al.2012

South Asia Central India 863 14.83 Rai et al.2012

South Asia North India 622 13.99 Rai et al.2012

South Asia East India 1706 8.44 Rai et al.2012

South Asia West India 501 17.17 Rai et al.2012

South Asia Northeast India 1090 0.18 Rai et al.2012

South Asia Andaman Island 20 0 Thangaraj et al. 2003

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