Your height affects your health: genetic determinants and health-related outcomes in Taiwan
Abstract 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-...
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BMC
2022-07-01
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Series: | BMC Medicine |
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Online Access: | https://doi.org/10.1186/s12916-022-02450-w |
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author | Jian-Shiun Chiou Chi-Fung Cheng Wen-Miin Liang Chen-Hsing Chou Chung-Hsing Wang Wei-De Lin Mu-Lin Chiu Wei-Chung Cheng Cheng-Wen Lin Ting-Hsu Lin Chiu-Chu Liao Shao-Mei Huang Chang-Hai Tsai Ying-Ju Lin Fuu-Jen Tsai |
author_facet | Jian-Shiun Chiou Chi-Fung Cheng Wen-Miin Liang Chen-Hsing Chou Chung-Hsing Wang Wei-De Lin Mu-Lin Chiu Wei-Chung Cheng Cheng-Wen Lin Ting-Hsu Lin Chiu-Chu Liao Shao-Mei Huang Chang-Hai Tsai Ying-Ju Lin Fuu-Jen Tsai |
author_sort | Jian-Shiun Chiou |
collection | DOAJ |
description | Abstract 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 (PRS251) and measured height (phenotype). We performed observational (phenotype) and genetic PRS251 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 PRS251 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. |
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institution | Directory Open Access Journal |
issn | 1741-7015 |
language | English |
last_indexed | 2024-04-14T04:33:19Z |
publishDate | 2022-07-01 |
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series | BMC Medicine |
spelling | doaj.art-c0a57999fd1d4fc5b21762c8a676995e2022-12-22T02:11:58ZengBMCBMC Medicine1741-70152022-07-0120112310.1186/s12916-022-02450-wYour height affects your health: genetic determinants and health-related outcomes in TaiwanJian-Shiun Chiou0Chi-Fung Cheng1Wen-Miin Liang2Chen-Hsing Chou3Chung-Hsing Wang4Wei-De Lin5Mu-Lin Chiu6Wei-Chung Cheng7Cheng-Wen Lin8Ting-Hsu Lin9Chiu-Chu Liao10Shao-Mei Huang11Chang-Hai Tsai12Ying-Ju Lin13Fuu-Jen Tsai14PhD Program for Health Science and Industry, College of Health Care, China Medical UniversityBig Data Center and Genetic Center, Department of Medical Research, China Medical University HospitalDepartment of Health Services Administration, China Medical UniversityPhD Program for Health Science and Industry, College of Health Care, China Medical UniversityDepartment of Pediatrics, China Medical University Children’s HospitalBig Data Center and Genetic Center, Department of Medical Research, China Medical University HospitalBig Data Center and Genetic Center, Department of Medical Research, China Medical University HospitalPhD Program for Cancer Biology and Drug Discovery, China Medical University and Academia SinicaPhD Program for Health Science and Industry, College of Health Care, China Medical UniversityBig Data Center and Genetic Center, Department of Medical Research, China Medical University HospitalBig Data Center and Genetic Center, Department of Medical Research, China Medical University HospitalBig Data Center and Genetic Center, Department of Medical Research, China Medical University HospitalDepartment of Biotechnology and Bioinformatics, Asia UniversityBig Data Center and Genetic Center, Department of Medical Research, China Medical University HospitalBig Data Center and Genetic Center, Department of Medical Research, China Medical University HospitalAbstract 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 (PRS251) and measured height (phenotype). We performed observational (phenotype) and genetic PRS251 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 PRS251 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.https://doi.org/10.1186/s12916-022-02450-wHeightGenome-wide association studiesGenetic single nucleotide polymorphismsPolygenic risk scoreHealth-related outcomes |
spellingShingle | Jian-Shiun Chiou Chi-Fung Cheng Wen-Miin Liang Chen-Hsing Chou Chung-Hsing Wang Wei-De Lin Mu-Lin Chiu Wei-Chung Cheng Cheng-Wen Lin Ting-Hsu Lin Chiu-Chu Liao Shao-Mei Huang Chang-Hai Tsai Ying-Ju Lin Fuu-Jen Tsai Your height affects your health: genetic determinants and health-related outcomes in Taiwan BMC Medicine Height Genome-wide association studies Genetic single nucleotide polymorphisms Polygenic risk score Health-related outcomes |
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 | Height Genome-wide association studies Genetic single nucleotide polymorphisms Polygenic risk score Health-related outcomes |
url | https://doi.org/10.1186/s12916-022-02450-w |
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