Genetic landscape of the people of India: A canvas for disease gene exploration

Samir K. Brahmachari; Partha P. Majumder; Mitali Mukerji; Saman Habib; Debasis Dash; Kunal Ray; Samira Bahl; Lalji Singh; Abhay Sharma; Susanta Roychoudhury; Indian Genome Variation Consortium (IGV); Jyotsna Batra

doi:10.1007/s12041-008-0002-x

Genetic landscape of the people of India: A canvas for disease gene exploration

Samir K. Brahmachari^*, Partha P. Majumder, Mitali Mukerji, Saman Habib, Debasis Dash, Kunal Ray, Samira Bahl, Lalji Singh, Abhay Sharma, Susanta Roychoudhury, Indian Genome Variation Consortium (IGV), Jyotsna Batra

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

Abstract

Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (> 10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations. © Indian Academy of Sciences.

Original language	English
Pages (from-to)	3-20
Number of pages	18
Journal	Journal of Genetics
Volume	87
Issue number	1
DOIs	https://doi.org/10.1007/s12041-008-0002-x
Publication status	Published - 9 Apr 2008
Externally published	Yes

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@article{584293a0918f4a669091213ce6f5548f,

title = "Genetic landscape of the people of India: A canvas for disease gene exploration",

abstract = "Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (> 10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations. {\textcopyright} Indian Academy of Sciences.",

author = "Brahmachari, {Samir K.} and Majumder, {Partha P.} and Mitali Mukerji and Saman Habib and Debasis Dash and Kunal Ray and Samira Bahl and Lalji Singh and Abhay Sharma and Susanta Roychoudhury and {Indian Genome Variation Consortium (IGV)} and Chandak, {G. R.} and K. Thangaraj and D. Parmar and Shantanu Sengupta and Dwaipayan Bharadwaj and Rath, {Srikanta K.} and Jagmohan Singh and Jha, {Ganga Nath} and Komal Virdi and Rao, {V. R.} and Swapnil Sinha and Ashok Singh and Mitra, {Amit K.} and Mishra, {Shrawan K.} and Qadar Pasha and Sridhar Sivasubbu and Rajesh Pandey and Aradhita Baral and Singh, {Prashant K.} and Amitabh Sharma and Jitender Kumar and Tsering Stobdan and Yasha Bhasin and Chitra Chauhan and Ashiq Hussain and Elyanambi Sundaramoorthy and Singh, {S. P.} and Arun Bandyopadhyay and Krishanu Dasgupta and Reddy, {A. K.} and Spurgeon, {Charles J.} and Idris, {M. Mohd} and Vinay Khanna and Alok Dhawan and Mohini Anand and R. Shankar and Bharti, {R. S.} and Madhu Singh and Singh, {Arvind P.} and Khan, {Anwar J.} and Shah, {Parag P.} and Pant, {A. B.} and Rupinder Kaur and Bisht, {Kamlesh K.} and Ashok Kumar and Victor Rajamanickam and Eugene Wilson and Antony Thangadurai and Jha, {Pankaj K.} and Mahua Maulik and Neelam Makhija and Abdur Rahim and Sangeeta Sharma and Rupali Chopra and Pooja Rana and M. Chidambaram and Arindam Maitra and Ruchi Chawla and Suruchika Soni and Preeti Khurana and Khan, {Mohamed Nadeem} and Sutar, {Sushanta Das} and Amit Tuteja and K. Narayansamy and Rachna Shukla and Swami Prakash and Swapna Mahurkar and Mani, {K. Radha} and J. Hemavathi and Seema Bhaskar and Pankaj Khanna and Ramalakshmi, {G. S.} and Tripathi, {Shalini Mani} and Nikita Thakur and Balaram Ghosh and Ritushree Kukreti and Taruna Madan and Ranjana Verma and G. Sudheer and Anubha Mahajan and Sreenivas Chavali and Rubina Tabassum and Sandeep Grover and Meenal Gupta and Jyotsna Batra and Amrendra Kumar and Abdoulazim Nejatizadeh and Mudit Vaid and Das, {Swapan K.}",

year = "2008",

month = apr,

day = "9",

doi = "10.1007/s12041-008-0002-x",

language = "English",

volume = "87",

pages = "3--20",

journal = "Journal of Genetics",

issn = "0022-1333",

publisher = "Springer",

number = "1",

}

TY - JOUR

T1 - Genetic landscape of the people of India: A canvas for disease gene exploration

AU - Brahmachari, Samir K.

AU - Majumder, Partha P.

AU - Mukerji, Mitali

AU - Habib, Saman

AU - Dash, Debasis

AU - Ray, Kunal

AU - Bahl, Samira

AU - Singh, Lalji

AU - Sharma, Abhay

AU - Roychoudhury, Susanta

AU - Indian Genome Variation Consortium (IGV)

AU - Chandak, G. R.

AU - Thangaraj, K.

AU - Parmar, D.

AU - Sengupta, Shantanu

AU - Bharadwaj, Dwaipayan

AU - Rath, Srikanta K.

AU - Singh, Jagmohan

AU - Jha, Ganga Nath

AU - Virdi, Komal

AU - Rao, V. R.

AU - Sinha, Swapnil

AU - Singh, Ashok

AU - Mitra, Amit K.

AU - Mishra, Shrawan K.

AU - Pasha, Qadar

AU - Sivasubbu, Sridhar

AU - Pandey, Rajesh

AU - Baral, Aradhita

AU - Singh, Prashant K.

AU - Sharma, Amitabh

AU - Kumar, Jitender

AU - Stobdan, Tsering

AU - Bhasin, Yasha

AU - Chauhan, Chitra

AU - Hussain, Ashiq

AU - Sundaramoorthy, Elyanambi

AU - Singh, S. P.

AU - Bandyopadhyay, Arun

AU - Dasgupta, Krishanu

AU - Reddy, A. K.

AU - Spurgeon, Charles J.

AU - Idris, M. Mohd

AU - Khanna, Vinay

AU - Dhawan, Alok

AU - Anand, Mohini

AU - Shankar, R.

AU - Bharti, R. S.

AU - Singh, Madhu

AU - Singh, Arvind P.

AU - Khan, Anwar J.

AU - Shah, Parag P.

AU - Pant, A. B.

AU - Kaur, Rupinder

AU - Bisht, Kamlesh K.

AU - Kumar, Ashok

AU - Rajamanickam, Victor

AU - Wilson, Eugene

AU - Thangadurai, Antony

AU - Jha, Pankaj K.

AU - Maulik, Mahua

AU - Makhija, Neelam

AU - Rahim, Abdur

AU - Sharma, Sangeeta

AU - Chopra, Rupali

AU - Rana, Pooja

AU - Chidambaram, M.

AU - Maitra, Arindam

AU - Chawla, Ruchi

AU - Soni, Suruchika

AU - Khurana, Preeti

AU - Khan, Mohamed Nadeem

AU - Sutar, Sushanta Das

AU - Tuteja, Amit

AU - Narayansamy, K.

AU - Shukla, Rachna

AU - Prakash, Swami

AU - Mahurkar, Swapna

AU - Mani, K. Radha

AU - Hemavathi, J.

AU - Bhaskar, Seema

AU - Khanna, Pankaj

AU - Ramalakshmi, G. S.

AU - Tripathi, Shalini Mani

AU - Thakur, Nikita

AU - Ghosh, Balaram

AU - Kukreti, Ritushree

AU - Madan, Taruna

AU - Verma, Ranjana

AU - Sudheer, G.

AU - Mahajan, Anubha

AU - Chavali, Sreenivas

AU - Tabassum, Rubina

AU - Grover, Sandeep

AU - Gupta, Meenal

AU - Batra, Jyotsna

AU - Kumar, Amrendra

AU - Nejatizadeh, Abdoulazim

AU - Vaid, Mudit

AU - Das, Swapan K.

PY - 2008/4/9

Y1 - 2008/4/9

N2 - Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (> 10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations. © Indian Academy of Sciences.

AB - Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (> 10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations. © Indian Academy of Sciences.

UR - http://www.scopus.com/inward/record.url?scp=44149107150&partnerID=8YFLogxK

U2 - 10.1007/s12041-008-0002-x

DO - 10.1007/s12041-008-0002-x

M3 - Article

C2 - 18560169

AN - SCOPUS:44149107150

SN - 0022-1333

VL - 87

SP - 3

EP - 20

JO - Journal of Genetics

JF - Journal of Genetics

IS - 1

ER -

Genetic landscape of the people of India: A canvas for disease gene exploration

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