Apurva Srivastava1,2, Balraj Mittal1, Jai Prakash2,3, Pranjal Srivastava4, Neena Srivastava2. 1. a Department of Medical Genetics , Sanjay Gandhi Post Graduate Institute of Medical Sciences , Rae Bareli Road , Lucknow , Uttar Pradesh , India . 2. b Department of Physiology , King George's Medical University , Chowk, Lucknow , Uttar Pradesh , India . 3. c Department of Anatomy and Anthropology, Sackler Faculty of Medicine , Tel-Aviv University , Israel , and. 4. d Darbhanga Medical College and Hospital , Darbhanga , Bihar , India.
Abstract
BACKGROUND: Obesity is a multi-factorial disorder influenced by genetic and environmental factors. The physiological pathways associated with obesity are complex and involve several genes. AIM: The aim of this survey is to evaluate the association of genetic variants of melanocortin-4-receptor (MC4R), pro-opiomelanocortin (POMC), apolipoprotein E (APOE) and agouti-related protein (AGRP) with obesity in the North Indian population. METHODS: MC4R rs17782313, POMC rs1042571, APOE-Hha1 and AGRP rs3412352 polymorphisms were investigated for their association in 396 obese individuals with BMI ≥ 30 kg/m(2) and 300 healthy non-obese individuals with BMI < 30 kg/m(2). Genotyping was performed using Taqman probes and PCR-RFLP methods. Single locus logistic regression analysis was conducted using (SPSS), ver.19 and PLINK software Version 1.01 and high order genetic interactions associated with obesity risk were analysed using MDR software (version 2.3.0.2). RESULTS: The genotypes of MC4R rs17782313, POMC rs1042571 and APOE-Hha1 were significantly associated with obese individuals (BMI ≥ 30 kg/m(2)) when compared with non-obese individuals (BMI < 30 kg/m(2)). No association of AGRP rs34123523 was seen with obesity. CONCLUSIONS: The best interaction model for predicting obesity risk by MDR analysis was the three factor model including POMC (C > T), MC4R (T > C) and APOE (Hha1) polymorphisms. Genetic variants in MC4R, POMC and APOE genes might play significant roles in predisposing obesity (BMI ≥ 30 kg/m(2)) in the North Indian population.
BACKGROUND:Obesity is a multi-factorial disorder influenced by genetic and environmental factors. The physiological pathways associated with obesity are complex and involve several genes. AIM: The aim of this survey is to evaluate the association of genetic variants of melanocortin-4-receptor (MC4R), pro-opiomelanocortin (POMC), apolipoprotein E (APOE) and agouti-related protein (AGRP) with obesity in the North Indian population. METHODS:MC4Rrs17782313, POMCrs1042571, APOE-Hha1 and AGRPrs3412352 polymorphisms were investigated for their association in 396 obese individuals with BMI ≥ 30 kg/m(2) and 300 healthy non-obese individuals with BMI < 30 kg/m(2). Genotyping was performed using Taqman probes and PCR-RFLP methods. Single locus logistic regression analysis was conducted using (SPSS), ver.19 and PLINK software Version 1.01 and high order genetic interactions associated with obesity risk were analysed using MDR software (version 2.3.0.2). RESULTS: The genotypes of MC4Rrs17782313, POMCrs1042571 and APOE-Hha1 were significantly associated with obese individuals (BMI ≥ 30 kg/m(2)) when compared with non-obese individuals (BMI < 30 kg/m(2)). No association of AGRPrs34123523 was seen with obesity. CONCLUSIONS: The best interaction model for predicting obesity risk by MDR analysis was the three factor model including POMC (C > T), MC4R (T > C) and APOE (Hha1) polymorphisms. Genetic variants in MC4R, POMC and APOE genes might play significant roles in predisposing obesity (BMI ≥ 30 kg/m(2)) in the North Indian population.
Authors: Buthaina E Alathari; Nathália Teixeira Cruvinel; Nara Rubia da Silva; Mathurra Chandrabose; Julie A Lovegrove; Maria A Horst; Karani S Vimaleswaran Journal: Nutrients Date: 2022-02-28 Impact factor: 5.717
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