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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Detalles Bibliográficos
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:
Research Article
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
Descripción
Sumario: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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