A profile of body composition and obesity related gene polymorphism among eastern and north eastern populations of India

IF 0.8 Q4 GENETICS & HEREDITY Meta Gene Pub Date : 2022-02-01 DOI:10.1016/j.mgene.2021.100984

Diptendu Chatterjee , Sweta Sen , Santosh Gupta , Rama Shanker Verma

{"title":"A profile of body composition and obesity related gene polymorphism among eastern and north eastern populations of India","authors":"Diptendu Chatterjee , Sweta Sen , Santosh Gupta , Rama Shanker Verma","doi":"10.1016/j.mgene.2021.100984","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Body composition and obesity is one of the major health related risk factors leading to increased metabolic mortality and morbidity. The Association of genetic polymorphism<span> with obesity and body composition is one way to assess the health status of a given population. In Indian region of east and north east, population-based studies have been conducted to assess the relation of body composition and obesity with gene polymorphism known to be associated with obesity and cardiovascular health and disease.</span></p></div><div><h3>Methods</h3><p>The current study consisted of different ethnic groups of Eastern and North Eastern part of India. A total of 225 randomly selected apparently healthy unrelated (free from any major diseases) adult individuals of 12 Ethnic groups were selected for the present study. Kurmi, Bhumij and Bouri population of Purulia District, and Bengali population of Kolkata, West Bengal, Meitei population of Manipur, Kolui, Riang, Rupini, Chakma and Tripuri of Tripura, Santal and Sabar population of Jharkhand, India were incorporated in the present study. <span><em>FTO, ACE3, </em><em>PSD3</em><em> and A604G</em></span><span> genotyping by Restriction Fragment length Polymorphism (RFLP) was performed to study specific Single Nucleotide Polymorphism (SNP) among the population. Anthropometric and socio demographic data were collected from all the subjects as per standard procedure. Overweight and obese categories for BMI classification was determined using classifications based on BMI, WC, WHR, WSR and BF percentage.</span></p></div><div><h3>Results</h3><p>The genetic polymorphism studied showed no significant relation among any of the 4 gene polymorphism with body composition variables. Smaller insignificant fraction of polymorphism for ACE, FTO gene was observed in population 3. PSD3 and A604G and polymorphism was not observed in any of the population studied.</p></div><div><h3>Conclusion</h3><p>Comparison of the results from anthropometric, physiological, metabolic data on the basis of body composition and gene polymorphism indicated that the studied population of twelve ethnic groups might not be susceptible to ACE, FTO, PSD3 and A604G associated obesity related disease.</p></div>","PeriodicalId":38190,"journal":{"name":"Meta Gene","volume":"31 ","pages":"Article 100984"},"PeriodicalIF":0.8000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meta Gene","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214540021001353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}

引用次数: 0

Abstract

Background

Body composition and obesity is one of the major health related risk factors leading to increased metabolic mortality and morbidity. The Association of genetic polymorphism with obesity and body composition is one way to assess the health status of a given population. In Indian region of east and north east, population-based studies have been conducted to assess the relation of body composition and obesity with gene polymorphism known to be associated with obesity and cardiovascular health and disease.

Methods

The current study consisted of different ethnic groups of Eastern and North Eastern part of India. A total of 225 randomly selected apparently healthy unrelated (free from any major diseases) adult individuals of 12 Ethnic groups were selected for the present study. Kurmi, Bhumij and Bouri population of Purulia District, and Bengali population of Kolkata, West Bengal, Meitei population of Manipur, Kolui, Riang, Rupini, Chakma and Tripuri of Tripura, Santal and Sabar population of Jharkhand, India were incorporated in the present study. FTO, ACE3, PSD3 and A604G genotyping by Restriction Fragment length Polymorphism (RFLP) was performed to study specific Single Nucleotide Polymorphism (SNP) among the population. Anthropometric and socio demographic data were collected from all the subjects as per standard procedure. Overweight and obese categories for BMI classification was determined using classifications based on BMI, WC, WHR, WSR and BF percentage.

Results

The genetic polymorphism studied showed no significant relation among any of the 4 gene polymorphism with body composition variables. Smaller insignificant fraction of polymorphism for ACE, FTO gene was observed in population 3. PSD3 and A604G and polymorphism was not observed in any of the population studied.

Conclusion

Comparison of the results from anthropometric, physiological, metabolic data on the basis of body composition and gene polymorphism indicated that the studied population of twelve ethnic groups might not be susceptible to ACE, FTO, PSD3 and A604G associated obesity related disease.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

印度东部和东北部人群的身体组成和肥胖相关基因多态性

背景:身体成分和肥胖是导致代谢死亡率和发病率增加的主要健康相关危险因素之一。遗传多态性与肥胖和身体组成的关联是评估特定人群健康状况的一种方法。在印度东部和东北部地区，开展了以人口为基础的研究，以评估身体组成和肥胖与已知与肥胖和心血管健康和疾病相关的基因多态性之间的关系。方法本研究包括印度东部和东北部不同的族群。本研究随机选取12个民族表面健康无重大疾病的成人225人。普鲁里亚区的库尔米人、布米吉人和布里人、西孟加拉邦加尔各答的孟加拉人、曼尼普尔邦的梅特提人、特里普拉邦的科鲁伊人、赖昂人、鲁比尼人、查克马人和特里普里人、贾坎德邦的桑塔尔人和萨巴尔人被纳入本研究。采用限制性片段长度多态性(RFLP)对FTO、ACE3、PSD3和A604G进行基因分型，研究群体间特异性单核苷酸多态性(SNP)。按照标准程序收集所有受试者的人体测量和社会人口统计数据。BMI分类的超重和肥胖类别采用基于BMI、WC、WHR、WSR和BF百分比的分类确定。结果4种基因多态性均与体组成变量无显著相关。在群体3中，ACE、FTO基因的多态性比例较小，不显著。PSD3和A604G及其多态性在所有研究人群中均未观察到。结论对12个民族的人体测量、生理、代谢、身体组成和基因多态性等数据进行比较，表明12个民族的人群可能不容易发生ACE、FTO、PSD3和A604G相关的肥胖相关疾病。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Meta Gene Biochemistry, Genetics and Molecular Biology-Genetics

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.