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. 2018 Mar 2;8(1):3964.
doi: 10.1038/s41598-018-22231-x.

Common variants of ARID1A and KAT2B are associated with obesity in Indian adolescents

Anil K Giri  1   2 , Vaisak Parekatt  1 , Om Prakash Dwivedi  1 , Priyanka Banerjee  1 , Khushdeep Bandesh  1   2 , Gauri Prasad  1   2 , Nikhil Tandon  3 , Dwaipayan Bharadwaj  4   5   6
Affiliations

Common variants of ARID1A and KAT2B are associated with obesity in Indian adolescents

Anil K Giri et al. Sci Rep. .

Abstract

Obesity involves alterations in transcriptional programs that can change in response to genetic and environmental signals through chromatin modifications. Since chromatin modifications involve different biochemical, neurological and molecular signaling pathways related to energy homeostasis, we hypothesize that genetic variations in chromatin modifier genes can predispose to obesity. Here, we assessed the associations between 179 variants in 35 chromatin modifier genes and overweight/obesity in 1283 adolescents (830 normal weight and 453 overweight/obese). This was followed up by the replication analysis of associated signals (18 variants in 8 genes) in 2247 adolescents (1709 normal weight and 538 overweight/obese). Our study revealed significant associations of two variants rs6598860 (OR = 1.27, P = 1.58 × 10-4) and rs4589135 (OR = 1.22, P = 3.72 × 10-4) in ARID1A with overweight/obesity. We also identified association of rs3804562 (β = 0.11, P = 1.35 × 10-4) in KAT2B gene with BMI. In conclusion, our study suggests a potential role of ARID1A and KAT2B genes in the development of obesity in adolescents and provides leads for further investigations.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Associations of significant SNPs with measures of obesity. Association of overweight/obese associated SNPs with anthropometric measures of obesity (weight, BMI, WC, HC) in meta-analysis results. The z score change per risk allele for associated SNPs in meta-analysis has been plotted against corresponding phenotypes.
Figure 2
Figure 2
Effect of genotype of significant SNPs over z score of adiposity measures. Variation of adiposity measures with the different genotypes of associated SNPs. The average z score is plotted on the y-axis against the different genotypes of SNPs on the x-axis for SNPs associated with adiposity measures. The analysis has been performed on total samples obtained after combining samples from stage 1 and stage 2.
See this image and copyright information in PMC

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