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LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families

OBJECTIVE: The current study was conducted to determine whether peak bone mineral density (BMD) and obesity phenotypes are associated with certain LGR4 gene polymorphisms found in Chinese nuclear families with female children. METHODS: A total of 22 single nucleotide polymorphisms (SNPs) located in...

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Autores principales: Shi, Su-qin, Li, Shan-shan, Zhang, Xiao-ya, Wei, Zhe, Fu, Wen-zhen, He, Jin-wei, Hu, Yun-qiu, Li, Miao, Zheng, Li-li, Zhang, Zhen-lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544421/
https://www.ncbi.nlm.nih.gov/pubmed/34707566
http://dx.doi.org/10.3389/fendo.2021.656077
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author Shi, Su-qin
Li, Shan-shan
Zhang, Xiao-ya
Wei, Zhe
Fu, Wen-zhen
He, Jin-wei
Hu, Yun-qiu
Li, Miao
Zheng, Li-li
Zhang, Zhen-lin
author_facet Shi, Su-qin
Li, Shan-shan
Zhang, Xiao-ya
Wei, Zhe
Fu, Wen-zhen
He, Jin-wei
Hu, Yun-qiu
Li, Miao
Zheng, Li-li
Zhang, Zhen-lin
author_sort Shi, Su-qin
collection PubMed
description OBJECTIVE: The current study was conducted to determine whether peak bone mineral density (BMD) and obesity phenotypes are associated with certain LGR4 gene polymorphisms found in Chinese nuclear families with female children. METHODS: A total of 22 single nucleotide polymorphisms (SNPs) located in and around the LGR4 gene were identified in 1,300 subjects who were members of 390 Chinese nuclear families with female children. Then, BMD readings of the femoral neck, total hip, and lumbar spine as well as measurements of the total lean mass (TLM), total fat mass (TFM), and trunk fat mass were obtained via dual-energy X-ray absorptiometry. The quantitative transmission disequilibrium test was used to analyze the associations between specific SNPs and LGR4 haplotypes and peak BMD as well as between LGR4 haplotypes and TLM, percent lean mass, TFM, percent fat mass, trunk fat mass, and body mass index (BMI). RESULTS: Here, rs7936621 was significantly associated with the BMD values for the total hip and lumbar spine, while rs10835171 and rs6484295 were associated with the trunk fat mass and BMI, respectively. Regarding the haplotypes, we found significant associations between GAA in block 2 and trunk fat mass and BMI, between AGCGT in block 3 and total hip BMD, between TGCTCC in block 5 and femoral neck BMD, and between TACTTC in block 5 and both lumbar spine and femoral neck BMD (all P-values < 0.05). CONCLUSION: Genetic variations of the LGR4 gene are related to peak BMD, BMI, and trunk fat mass.
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spelling pubmed-85444212021-10-26 LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families Shi, Su-qin Li, Shan-shan Zhang, Xiao-ya Wei, Zhe Fu, Wen-zhen He, Jin-wei Hu, Yun-qiu Li, Miao Zheng, Li-li Zhang, Zhen-lin Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: The current study was conducted to determine whether peak bone mineral density (BMD) and obesity phenotypes are associated with certain LGR4 gene polymorphisms found in Chinese nuclear families with female children. METHODS: A total of 22 single nucleotide polymorphisms (SNPs) located in and around the LGR4 gene were identified in 1,300 subjects who were members of 390 Chinese nuclear families with female children. Then, BMD readings of the femoral neck, total hip, and lumbar spine as well as measurements of the total lean mass (TLM), total fat mass (TFM), and trunk fat mass were obtained via dual-energy X-ray absorptiometry. The quantitative transmission disequilibrium test was used to analyze the associations between specific SNPs and LGR4 haplotypes and peak BMD as well as between LGR4 haplotypes and TLM, percent lean mass, TFM, percent fat mass, trunk fat mass, and body mass index (BMI). RESULTS: Here, rs7936621 was significantly associated with the BMD values for the total hip and lumbar spine, while rs10835171 and rs6484295 were associated with the trunk fat mass and BMI, respectively. Regarding the haplotypes, we found significant associations between GAA in block 2 and trunk fat mass and BMI, between AGCGT in block 3 and total hip BMD, between TGCTCC in block 5 and femoral neck BMD, and between TACTTC in block 5 and both lumbar spine and femoral neck BMD (all P-values < 0.05). CONCLUSION: Genetic variations of the LGR4 gene are related to peak BMD, BMI, and trunk fat mass. Frontiers Media S.A. 2021-10-11 /pmc/articles/PMC8544421/ /pubmed/34707566 http://dx.doi.org/10.3389/fendo.2021.656077 Text en Copyright © 2021 Shi, Li, Zhang, Wei, Fu, He, Hu, Li, Zheng and Zhang 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 Endocrinology
Shi, Su-qin
Li, Shan-shan
Zhang, Xiao-ya
Wei, Zhe
Fu, Wen-zhen
He, Jin-wei
Hu, Yun-qiu
Li, Miao
Zheng, Li-li
Zhang, Zhen-lin
LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families
title LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families
title_full LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families
title_fullStr LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families
title_full_unstemmed LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families
title_short LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families
title_sort lgr4 gene polymorphisms are associated with bone and obesity phenotypes in chinese female nuclear families
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544421/
https://www.ncbi.nlm.nih.gov/pubmed/34707566
http://dx.doi.org/10.3389/fendo.2021.656077
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