Variation at Diabetes-and Obesity-associated loci may mirror neutral patterns of human population diversity and diabetes prevalence in India

Srilakshmi M. Raj and Pradeep, H. and Kadandale, Jyarama S. and Lahr, Marta Mirazon and Romero, Irene Gallego and Jamuna R. Yadhav and Iliescu, Mircea and Rai, Niraj and Crivellaro, Federica and Chaubey, Gyaneshwer and Villems, Richard and Thangaraj, Kumarasamy and Muniyappa, Kalappagowda and Chandra, H. S. and Kivisild, T. (2013) Variation at Diabetes-and Obesity-associated loci may mirror neutral patterns of human population diversity and diabetes prevalence in India. Annals of Human Genetics, 77 (5). pp. 392-408.

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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 ancestries. We genotyped 2977 individuals from 61 populations across India for 18 SNPs in genes implicated in T2D and obesity. We examined patterns of variation in allele frequency across different geographical gradients and considered state of origin and language affiliation. Our results show that most of the 18 SNPs show no significant correlation with latitude, the geographic cline reported in previous studies, or by language family. Exceptions include KCNQ1 with latitude and THADA and JAK1 with language, which suggests that genetic variation at previously ascertained diabetes-associated loci may only partly mirror geographic patterns of genome-wide diversity in Indian populations.

Item Type: Article
Uncontrolled Keywords: article, human, priority journal, India, Humans, geographic distribution, prevalence, Prevalence, obesity, urban population, disease association, Polymorphism, non insulin dependent diabetes mellitus, genotype, genetic correlation, Genetic Predisposition to Disease, genetic distance, population genetics, Janus kinase 1, gene frequency, genetic association, genetic variability, Genotype, Diabetes Mellitus, Type 2, Single Nucleotide, single nucleotide polymorphism, gene locus, Genetic Variation, Gene Frequency, skin pigmentation, Alleles, BRCA1 protein, Genetic Loci, Human genetic variation, language, latitude, longitude, Obesity, potassium channel KCNQ1, type 2 diabetes
Subjects: B Life Science > Microbiology
Divisions: Department of > Microbiology
Depositing User: Arshiya Kousar Library Assistant
Date Deposited: 19 Nov 2019 05:28
Last Modified: 16 Nov 2022 10:33

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