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MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study

Objectives: This study aimed to determine the association of MC4R gene polymorphisms (rs17782313 and rs12970134) and urbanized living environment and the gene–environment interaction with obesity in Yi people in China. Methods: A 1:2 frequency-matched case–control study based on the cross-sectional...

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Autores principales: Wang, Ye, Pan, Li, Wan, Shaoping, Yihuo, Wuli, Yang, Fang, He, Huijing, Li, Zheng, Yong, Zhengping, Shan, Guangliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046839/
https://www.ncbi.nlm.nih.gov/pubmed/35495128
http://dx.doi.org/10.3389/fgene.2022.849138
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author Wang, Ye
Pan, Li
Wan, Shaoping
Yihuo, Wuli
Yang, Fang
He, Huijing
Li, Zheng
Yong, Zhengping
Shan, Guangliang
author_facet Wang, Ye
Pan, Li
Wan, Shaoping
Yihuo, Wuli
Yang, Fang
He, Huijing
Li, Zheng
Yong, Zhengping
Shan, Guangliang
author_sort Wang, Ye
collection PubMed
description Objectives: This study aimed to determine the association of MC4R gene polymorphisms (rs17782313 and rs12970134) and urbanized living environment and the gene–environment interaction with obesity in Yi people in China. Methods: A 1:2 frequency-matched case–control study based on the cross-sectional data was designed. Those with BMI ≥28 kg/m(2) were included as the case group. The age- and sex-matched controls were selected from those with BMI <24 kg/m(2). Unconditional logistic models were used to determine the association of SNPs with obesity. Additive interaction was evaluated by calculating relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI). Results: A total of 322 cases and 643 controls were included. After adjustment, allele C of rs17782313 was significantly associated with obesity (additive model, OR = 1.52, 95%CI: 1.18–1.96) in Yi people. A similar association was found in allele A of rs12970134 (additive model, OR = 1.45, 95%CI: 1.13–1.89). Yi rural-to-urban migrants were found at 2.59-fold (95%CI: 1.70–3.95) higher odds of obesity than Yi farmers. Additive interactions were found between the two SNPs and rural-to-urban migration (rs17782313: AP = 0.65, 95%CI: 0.22–1.09; rs12970134: AP = 0.59, 95%CI: 0.02–1.17). Conclusion: MC4R gene polymorphisms positively interacted with the urbanized living environment on obesity in Yi people. The effect of the MC4R gene on obesity was modified by the living environment.
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spelling pubmed-90468392022-04-29 MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study Wang, Ye Pan, Li Wan, Shaoping Yihuo, Wuli Yang, Fang He, Huijing Li, Zheng Yong, Zhengping Shan, Guangliang Front Genet Genetics Objectives: This study aimed to determine the association of MC4R gene polymorphisms (rs17782313 and rs12970134) and urbanized living environment and the gene–environment interaction with obesity in Yi people in China. Methods: A 1:2 frequency-matched case–control study based on the cross-sectional data was designed. Those with BMI ≥28 kg/m(2) were included as the case group. The age- and sex-matched controls were selected from those with BMI <24 kg/m(2). Unconditional logistic models were used to determine the association of SNPs with obesity. Additive interaction was evaluated by calculating relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI). Results: A total of 322 cases and 643 controls were included. After adjustment, allele C of rs17782313 was significantly associated with obesity (additive model, OR = 1.52, 95%CI: 1.18–1.96) in Yi people. A similar association was found in allele A of rs12970134 (additive model, OR = 1.45, 95%CI: 1.13–1.89). Yi rural-to-urban migrants were found at 2.59-fold (95%CI: 1.70–3.95) higher odds of obesity than Yi farmers. Additive interactions were found between the two SNPs and rural-to-urban migration (rs17782313: AP = 0.65, 95%CI: 0.22–1.09; rs12970134: AP = 0.59, 95%CI: 0.02–1.17). Conclusion: MC4R gene polymorphisms positively interacted with the urbanized living environment on obesity in Yi people. The effect of the MC4R gene on obesity was modified by the living environment. Frontiers Media S.A. 2022-04-14 /pmc/articles/PMC9046839/ /pubmed/35495128 http://dx.doi.org/10.3389/fgene.2022.849138 Text en Copyright © 2022 Wang, Pan, Wan, Yihuo, Yang, He, Li, Yong and Shan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Wang, Ye
Pan, Li
Wan, Shaoping
Yihuo, Wuli
Yang, Fang
He, Huijing
Li, Zheng
Yong, Zhengping
Shan, Guangliang
MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study
title MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study
title_full MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study
title_fullStr MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study
title_full_unstemmed MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study
title_short MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study
title_sort mc4r gene polymorphisms interact with the urbanized living environment on obesity: results from the yi migrant study
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046839/
https://www.ncbi.nlm.nih.gov/pubmed/35495128
http://dx.doi.org/10.3389/fgene.2022.849138
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