A multianalytical approach to evaluate the association of 55 SNPs in 28 genes with obesity risk in North Indian adults

Objectives The aim of the study was to investigate the association of 55 SNPs in 28 genes with obesity risk in a North Indian population using a multianalytical approach. Methods Overall, 480 subjects from the North Indian population were studied using strict inclusion/exclusion criteria. SNP Genoty...

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Bibliographic Details
Published in:American journal of human biology 2017-03, Vol.29 (2), p.np-n/a
Main Authors: Srivastava, Apurva, Mittal, Balraj, Prakash, Jai, Srivastava, Pranjal, Srivastava, Nimisha, Srivastava, Neena
Format: Article
Language:English
Subjects:
Adult
Associations
Female
Genes
genetic association
Genome-Wide Association Study
Genotype
genotype score
Humans
India
linkage disequilibrium
Male
Obesity
Obesity - genetics
Polymorphism, Single Nucleotide
Risk
SNP
Young Adult
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Summary:Objectives The aim of the study was to investigate the association of 55 SNPs in 28 genes with obesity risk in a North Indian population using a multianalytical approach. Methods Overall, 480 subjects from the North Indian population were studied using strict inclusion/exclusion criteria. SNP Genotyping was carried out by Sequenom Mass ARRAY platform (Sequenom, San Diego, CA) and validated Taqman® allelic discrimination (Applied Biosystems®). Statistical analyses were performed using SPSS software version 19.0, SNPStats, GMDR software (version 6) and GENEMANIA. Results Logistic regression analysis of 55 SNPs revealed significant associations (P  .05). The pathway‐wise G‐score revealed the significant role (P = .0001) of food intake‐energy expenditure pathway genes. In CART analysis, the combined genotypes of FTO rs9939609 and TCF7L2 rs7903146 revealed the highest risk for BMI linked obesity. The analysis of the FTO‐IRX3 locus revealed high LD and high order gene‐gene interactions for BMI linked obesity. The interaction network of all of the associated genes in the present study generated by GENEMANIA revealed direct and indirect connections. In addition, the analysis with centralized obesity revealed that none of the SNPs except for FTO rs17818902 were significantly associated (P 
ISSN:1042-0533
1520-6300
DOI:10.1002/ajhb.22923