Journal of Advanced Research (May 2021)

Rare variants discovery by extensive whole-genome sequencing of the Han Chinese population in Taiwan: Applications to cardiovascular medicine

  • Jyh-Ming Jimmy Juang,
  • Tzu-Pin Lu,
  • Ming-Wei Su,
  • Chien-Wei Lin,
  • Jenn-Hwai Yang,
  • Hou-Wei Chu,
  • Chien-Hsiun Chen,
  • Yi-Wen Hsiao,
  • Chien-Yueh Lee,
  • Li-Mei Chiang,
  • Qi-You Yu,
  • Chuhsing Kate Hsiao,
  • Ching-Yu Julius Chen,
  • Pei-Ei Wu,
  • Chien-Hua Pai,
  • Eric Y. Chuang,
  • Chen-Yang Shen

Journal volume & issue
Vol. 30
pp. 147 – 158

Abstract

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Introduction: A population-specific genomic reference is important for research and clinical practice, yet it remains unavailable for Han Chinese (HC) in Taiwan. Objectives: We report the first whole genome sequencing (WGS) database of HC (1000 Taiwanese genome (1KTW-WGS)) and demonstrate several applications to cardiovascular medicine. Methods: Whole genomes of 997 HC were sequenced to at least 30X depth. A total of 20,117 relatively healthy HC individuals were genotyped using a customized Axiom GWAS array. We performed a genome-wide genotype imputation technique using IMPUTE2. Results: We identified 26.7 million single-nucleotide variants (SNVs) and 4.2 million insertions-deletions. Of the SNVs, 16.1% were novel relative to dbSNP (build 152), and 34.2% were novel relative to gnomAD. A total of 18,450 healthy HC individuals were genotyped using a customized Genome-Wide Association Study (GWAS) array. We identified hypertension-associated variants and developed a hypertension prediction model based on the correlation between the WGS data and GWAS data (combined clinical and genetic models, AUC 0.887), and also identified 3 novel hyperlipidemia-associated variants. Each individual carried an average of 16.42 (SD = 3.72) disease-causing variants. Additionally, we established an online SCN5A (an important cardiac gene) database that can be used to explore racial differences. Finally, pharmacogenetics studies identified HC population-specific SNVs in genes (CYP2C9 and VKORC1) involved in drug metabolism and blood clotting. Conclusion: This research demonstrates the benefits of constructing a population-specific genomic reference database for precision medicine.

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