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J Genet. 2008 Apr;87(1):3-20.

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

Collaborators (151)

Brahmachari SK, Majumder PP, Mukerji M, Habib S, Dash D, Ray K, Bahl S, Singh L, Sharma A, Roychoudhury S, Chandak GR, Thangaraj K, Parmar D, Sengupta S, Bharadwaj D, Rath SK, Singh J, Jha GN, Virdi K, Rao VR, Sinha S, Singh A, Mitra AK, Mishra SK, Pasha Q, Sivasubbu S, Pandey R, Baral A, Singh PK, Sharma A, Kumar J, Stobdan T, Bhasin Y, Chauhan C, Hussain A, Sundaramoorthy E, Singh SP, Bandyopadhyay A, Dasgupta K, Reddy AK, Spurgeon CJ, Idris MM, Khanna V, Dhawan A, Anand M, Shankar R, Bharti RS, Singh M, Singh AP, Khan AJ, Shah PP, Pant AB, Kaur R, Bisht KK, Kumar A, Rajamanickam V, Wilson E, Thangadurai A, Jha PK, Maulik M, Makhija N, Rahim A, Sharma S, Chopra R, Rana P, Chidambaram M, Maitra A, Chawla R, Soni S, Khurana P, Khan MN, Sutar SD, Tuteja A, Narayansamy K, Shukla R, Prakash S, Mahurkar S, Radha Mani K, Hemavathi J, Bhaskar S, Khanna P, Ramalakshmi GS, Tripathi SM, Thakur N, Ghosh B, Kukreti R, Madan T, Verma R, Sudheer G, Mahajan A, Chavali S, Tabassum R, Grover S, Gupta M, Batra J, Kumar A, Nejatizadeh A, Vaid M, Das SK, Sharma S, Sharma M, Chatterjee R, Paul JA, Srivastava P, Rajput C, Mittal U, Singh M, Hariharan M, Das S, Chaudhuri K, Sengupta M, Acharya M, Bhattacharyya A, Saha A, Biswas A, Chaki M, Gupta A, Mukherjee S, Mookherjee S, Chattopadhyay I, Banerjee T, Chakravorty M, Misra C, Monadal G, Sengupta S, Dutta De D, Bajaj S, Deb I, Banerjee A, Chowdhury R, Banerjee D, Kumar D, Das SR, Tiwari S, Bharadwaj A, Khanna S, Ahmed I, Parveen S, Singh N, Dasgupta D, Bisht SS, Rajput R, Ghosh B, Kumar N, Chaurasia A, Abraham JK, Sinha A, Scaria V, Sethi TP, Mandal AK, Mukhopadhyay A.

Author information

Functional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), New Delhi, India.


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.

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