Literature DB >> 19680233

Replication of association between a common variant near melanocortin-4 receptor gene and obesity-related traits in Asian Sikhs.

Latonya F Been1, Swapan K Nath, Sarju K Ralhan, Gurpreet S Wander, Narinder K Mehra, Jairup Singh, John J Mulvihill, Dharambir K Sanghera.   

Abstract

Recent genome-wide association studies (GWAS) in Asian Indians reported strong associations of variants near melanocortin-4 receptor (MC4R) and MLX interacting protein-like (MLXIPL) genes with insulin resistance and several obesity-related quantitative traits (QTs). Here, we evaluated the association of two variants (rs12970134 and rs4450508) near MC4R and a nonsynonymous (Gln241His) variant (rs3812316) in MLXIPL gene with type 2 diabetes (T2D) and obesity-related QTs in our case-control cohort (n = 1,528; 745 T2D cases and 783 controls) from a Sikh population from North India. We have successfully replicated the association of MC4R (rs12970134) with BMI (P = 0.0005), total weight (WT) (P = 0.001), and waist circumference (WC) (P = 0.001). These associations remained significant after controlling for multiple testing by applying Bonferroni's correction. However, our data did not confirm the association of rs3812316 in the MLXIPL gene with triglyceride (TG) levels. These observations demonstrate that the genetic variation in MC4R locus can have a moderate contribution in the regional fat deposition and development of central obesity in Asian Indians.

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Year:  2009        PMID: 19680233     DOI: 10.1038/oby.2009.254

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  16 in total

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Review 3.  Type 2 diabetes and obesity: genomics and the clinic.

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9.  Common genetic variants and central adiposity among Asian-Indians.

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Journal:  Obesity (Silver Spring)       Date:  2011-07-28       Impact factor: 5.002

10.  Association study of 25 type 2 diabetes related Loci with measures of obesity in Indian sib pairs.

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Journal:  PLoS One       Date:  2013-01-17       Impact factor: 3.240

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