Journal article

Variation at Diabetes- and Obesity-Associated Loci May Mirror Neutral Patterns of Human Population Diversity and Diabetes Prevalence in India

Srilakshmi M Raj, Pradeep Halebeedu, Jayarama S Kadandale, Marta Mirazon Lahr, Irene Gallego Romero, Jamuna R Yadhav, Mircea Iliescu, Niraj Rai, Federica Crivellaro, Gyaneshwer Chaubey, Richard Villems, Kumarasamy Thangaraj, Kalappagowda Muniyappa, H Sharat Chandra, Toomas Kivisild

ANNALS OF HUMAN GENETICS | WILEY | Published : 2013

Abstract

South Asian populations harbor a high degree of genetic diversity, due in part to demographic history. Two studies on genome-wide variation in Indian populations have shown that most Indian populations show varying degrees of admixture between ancestral north Indian and ancestral south Indian components. As a result of this structure, genetic variation in India appears to follow a geographic cline. Similarly, Indian populations seem to show detectable differences in diabetes and obesity prevalence between different geographic regions of the country. We tested the hypothesis that genetic variation at diabetes- and obesity-associated loci may be potentially related to different genetic ancestr..

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University of Melbourne Researchers

Grants

Awarded by Council of Scientific and Industrial Research (CSIR), Government of India


Funding Acknowledgements

We would like to thank all the participants for providing saliva samples for the DNA analysis, and over 80 individuals and organizations that helped in the process. In particular, the authors would like to acknowledge Mr. and Mrs. H. B. Rajagopal, Mahadeva, Mrs. Poornima Rangappa and Mr. Girijashankar for their help in coordinating sample collection. Maggie Bellatti, Krishnendu Khan, Jasbeer Singh, Charles Spurgeon, and Kranthi Kumar provided support in the laboratory. Drs Gabriel Amable and Paco Bertolani assisted in the generation of the interpolated maps. Finally, funding for this work came from the UK-India Education and Research Initiative, Gates Cambridge Trust, Centre for Human Genetics and Indian Institute of Science (Bangalore, India), the Bridget's Trust, Gonville and Caius College, the Cambridge-India Partnership Fund, as well as CardioMed-BSC0122 of Council of Scientific and Industrial Research (CSIR), Government of India.