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Your height affects your health: genetic determinants and health-related outcomes in Taiwan

BACKGROUND: Height is an important anthropometric measurement and is associated with many health-related outcomes. Genome-wide association studies (GWASs) have identified hundreds of genetic loci associated with height, mainly in individuals of European ancestry. METHODS: We performed genome-wide as...

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Autores principales: Chiou, Jian-Shiun, Cheng, Chi-Fung, Liang, Wen-Miin, Chou, Chen-Hsing, Wang, Chung-Hsing, Lin, Wei-De, Chiu, Mu-Lin, Cheng, Wei-Chung, Lin, Cheng-Wen, Lin, Ting-Hsu, Liao, Chiu-Chu, Huang, Shao-Mei, Tsai, Chang-Hai, Lin, Ying-Ju, Tsai, Fuu-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281111/
https://www.ncbi.nlm.nih.gov/pubmed/35831902
http://dx.doi.org/10.1186/s12916-022-02450-w
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author Chiou, Jian-Shiun
Cheng, Chi-Fung
Liang, Wen-Miin
Chou, Chen-Hsing
Wang, Chung-Hsing
Lin, Wei-De
Chiu, Mu-Lin
Cheng, Wei-Chung
Lin, Cheng-Wen
Lin, Ting-Hsu
Liao, Chiu-Chu
Huang, Shao-Mei
Tsai, Chang-Hai
Lin, Ying-Ju
Tsai, Fuu-Jen
author_facet Chiou, Jian-Shiun
Cheng, Chi-Fung
Liang, Wen-Miin
Chou, Chen-Hsing
Wang, Chung-Hsing
Lin, Wei-De
Chiu, Mu-Lin
Cheng, Wei-Chung
Lin, Cheng-Wen
Lin, Ting-Hsu
Liao, Chiu-Chu
Huang, Shao-Mei
Tsai, Chang-Hai
Lin, Ying-Ju
Tsai, Fuu-Jen
author_sort Chiou, Jian-Shiun
collection PubMed
description BACKGROUND: Height is an important anthropometric measurement and is associated with many health-related outcomes. Genome-wide association studies (GWASs) have identified hundreds of genetic loci associated with height, mainly in individuals of European ancestry. METHODS: We performed genome-wide association analyses and replicated previously reported GWAS-determined single nucleotide polymorphisms (SNPs) in the Taiwanese Han population (Taiwan Biobank; n = 67,452). A genetic instrument composed of 251 SNPs was selected from our GWAS, based on height and replication results as the best-fit polygenic risk score (PRS), in accordance with the clumping and p-value threshold method. We also examined the association between genetically determined height (PRS(251)) and measured height (phenotype). We performed observational (phenotype) and genetic PRS(251) association analyses of height and health-related outcomes. RESULTS: GWAS identified 6843 SNPs in 89 genomic regions with genome-wide significance, including 18 novel loci. These were the most strongly associated genetic loci (EFEMP1, DIS3L2, ZBTB38, LCORL, HMGA1, CS, and GDF5) previously reported to play a role in height. There was a positive association between PRS(251) and measured height (p < 0.001). Of the 14 traits and 49 diseases analyzed, we observed significant associations of measured and genetically determined height with only eight traits (p < 0.05/[14 + 49]). Height was positively associated with body weight, waist circumference, and hip circumference but negatively associated with body mass index, waist-hip ratio, body fat, total cholesterol, and low-density lipoprotein cholesterol (p < 0.05/[14 + 49]). CONCLUSIONS: This study contributes to the understanding of the genetic features of height and health-related outcomes in individuals of Han Chinese ancestry in Taiwan. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02450-w.
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spelling pubmed-92811112022-07-15 Your height affects your health: genetic determinants and health-related outcomes in Taiwan Chiou, Jian-Shiun Cheng, Chi-Fung Liang, Wen-Miin Chou, Chen-Hsing Wang, Chung-Hsing Lin, Wei-De Chiu, Mu-Lin Cheng, Wei-Chung Lin, Cheng-Wen Lin, Ting-Hsu Liao, Chiu-Chu Huang, Shao-Mei Tsai, Chang-Hai Lin, Ying-Ju Tsai, Fuu-Jen BMC Med Research Article BACKGROUND: Height is an important anthropometric measurement and is associated with many health-related outcomes. Genome-wide association studies (GWASs) have identified hundreds of genetic loci associated with height, mainly in individuals of European ancestry. METHODS: We performed genome-wide association analyses and replicated previously reported GWAS-determined single nucleotide polymorphisms (SNPs) in the Taiwanese Han population (Taiwan Biobank; n = 67,452). A genetic instrument composed of 251 SNPs was selected from our GWAS, based on height and replication results as the best-fit polygenic risk score (PRS), in accordance with the clumping and p-value threshold method. We also examined the association between genetically determined height (PRS(251)) and measured height (phenotype). We performed observational (phenotype) and genetic PRS(251) association analyses of height and health-related outcomes. RESULTS: GWAS identified 6843 SNPs in 89 genomic regions with genome-wide significance, including 18 novel loci. These were the most strongly associated genetic loci (EFEMP1, DIS3L2, ZBTB38, LCORL, HMGA1, CS, and GDF5) previously reported to play a role in height. There was a positive association between PRS(251) and measured height (p < 0.001). Of the 14 traits and 49 diseases analyzed, we observed significant associations of measured and genetically determined height with only eight traits (p < 0.05/[14 + 49]). Height was positively associated with body weight, waist circumference, and hip circumference but negatively associated with body mass index, waist-hip ratio, body fat, total cholesterol, and low-density lipoprotein cholesterol (p < 0.05/[14 + 49]). CONCLUSIONS: This study contributes to the understanding of the genetic features of height and health-related outcomes in individuals of Han Chinese ancestry in Taiwan. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02450-w. BioMed Central 2022-07-13 /pmc/articles/PMC9281111/ /pubmed/35831902 http://dx.doi.org/10.1186/s12916-022-02450-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chiou, Jian-Shiun
Cheng, Chi-Fung
Liang, Wen-Miin
Chou, Chen-Hsing
Wang, Chung-Hsing
Lin, Wei-De
Chiu, Mu-Lin
Cheng, Wei-Chung
Lin, Cheng-Wen
Lin, Ting-Hsu
Liao, Chiu-Chu
Huang, Shao-Mei
Tsai, Chang-Hai
Lin, Ying-Ju
Tsai, Fuu-Jen
Your height affects your health: genetic determinants and health-related outcomes in Taiwan
title Your height affects your health: genetic determinants and health-related outcomes in Taiwan
title_full Your height affects your health: genetic determinants and health-related outcomes in Taiwan
title_fullStr Your height affects your health: genetic determinants and health-related outcomes in Taiwan
title_full_unstemmed Your height affects your health: genetic determinants and health-related outcomes in Taiwan
title_short Your height affects your health: genetic determinants and health-related outcomes in Taiwan
title_sort your height affects your health: genetic determinants and health-related outcomes in taiwan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281111/
https://www.ncbi.nlm.nih.gov/pubmed/35831902
http://dx.doi.org/10.1186/s12916-022-02450-w
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