Diversity and longitudinal records: Genetic architecture of disease associations and polygenic risk in the Taiwanese Han population

We addressed the underrepresentation of non-European populations in genome-wide association studies (GWASs) by building HiGenome, a large-scale genetic resource for the Taiwanese Han population. Using a custom genotyping array, we integrated deidentified electronic medical records (2003 to 2021) with genomic data to enable GWASs, phenome-wide association studies, and polygenic risk score (PRS) analysis. Among 413,000 participants, 323,397 passed ancestry and quality control filtering. GWASs covered 1085 traits, focusing on diseases prevalent in Taiwan such as type 2 diabetes, chronic kidney disease, gout, and alcoholic liver damage. PRSs were calculated for 238 traits, with the strongest associations observed in musculoskeletal disorders. Incorporating PRS into clinical practice supports early risk prediction and personalized prevention. To further expand translational value, we also conducted pharmacogenomic analysis and human leukocyte antigen typing. HiGenome offers a large-scale genetic and clinical dataset from the Taiwanese Han population, supporting population-specific analyses and precision medicine development in East Asia. The hospital-based design enables continuous follow-up and longitudinal data expansion.

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Publication Details

Journal
Science Advances
Published
2025-06-06
DOI
https://doi.org/10.1126/sciadv.adt0539
Citations
13
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
23.62
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article

Diversity and longitudinal records: Genetic architecture of disease associations and polygenic risk in the Taiwanese Han population

Tzu-Yuan Wang, Yu-Huei Liu, Chin‐Chi Kuo, Chi‐Ping Huang et al.
13 citations
Science Advances
Genetic Associations and Epidemiology
23.62
article

Diversity and longitudinal records: Genetic architecture of disease associations and polygenic risk in the Taiwanese Han population

Tzu-Yuan Wang, Yu-Huei Liu, Chin‐Chi Kuo, Chi‐Ping Huang, Chung‐Ming Huang, Jiu‐Yao Wang, Kai‐Jieh Yeo, Der‐Yang Cho, Fuu‐Jen Tsai, Wen‐Ling Liao, Wei‐Yong Lin, Po‐Yuan Wu, Chi‐Chou Liao, Hsing-Fang Lu, Shih‐Sheng Chang, Yu‐Pao Chou, Jan‐Gowth Chang, Ting‐Yuan Liu, Shih‐Yin Chen, Jai‐Sing Yang, Hong-Da Chen, Wei-De Lin, Hui‐Ju Lin, Kai-Cheng Hsu, Ying‐Ju Lin, Yu-Chia Chen, Rong-Hsing Chen, Chwen-Tzuei Chang, Chin-Chung Yeh, Hsueh-Chou Lai, Jiunn-Horng Chen, Yu-Chuen Huang, Chang-Hai Tsai, Chung-Hsing Wang
article en
13 citations

Abstract

We addressed the underrepresentation of non-European populations in genome-wide association studies (GWASs) by building HiGenome, a large-scale genetic resource for the Taiwanese Han population. Using a custom genotyping array, we integrated deidentified electronic medical records (2003 to 2021) with genomic data to enable GWASs, phenome-wide association studies, and polygenic risk score (PRS) analysis. Among 413,000 participants, 323,397 passed ancestry and quality control filtering. GWASs covered 1085 traits, focusing on diseases prevalent in Taiwan such as type 2 diabetes, chronic kidney disease, gout, and alcoholic liver damage. PRSs were calculated for 238 traits, with the strongest associations observed in musculoskeletal disorders. Incorporating PRS into clinical practice supports early risk prediction and personalized prevention. To further expand translational value, we also conducted pharmacogenomic analysis and human leukocyte antigen typing. HiGenome offers a large-scale genetic and clinical dataset from the Taiwanese Han population, supporting population-specific analyses and precision medicine development in East Asia. The hospital-based design enables continuous follow-up and longitudinal data expansion.

Science AdvancesVol. 11(23)
Asia University (TW), China Medical University (TW), China Medical University Hospital (TW)
Good health and well-being
Openalex Percentile: Top 0%
Genetic Associations and Epidemiology
23.62
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