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

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 ap...

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Detalles Bibliográficos
Autores principales: Juang, Jyh-Ming Jimmy, Lu, Tzu-Pin, Su, Ming-Wei, Lin, Chien-Wei, Yang, Jenn-Hwai, Chu, Hou-Wei, Chen, Chien-Hsiun, Hsiao, Yi-Wen, Lee, Chien-Yueh, Chiang, Li-Mei, Yu, Qi-You, Hsiao, Chuhsing Kate, Chen, Ching-Yu Julius, Wu, Pei-Ei, Pai, Chien-Hua, Chuang, Eric Y., Shen, Chen-Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132201/
https://www.ncbi.nlm.nih.gov/pubmed/34026292
http://dx.doi.org/10.1016/j.jare.2020.12.003
Descripción
Sumario: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.