HKG: an open genetic variant database of 205 Hong Kong cantonese exomes

Author:

Ou Min1,Leung Henry Chi-Ming1,Leung Amy Wing-Sze1,Luk Ho-Ming2,Yan Bin13,Liu Chi-Man1,Tong Tony Ming-For2,Mok Myth Tsz-Shun2,Ko Wallace Ming-Yuen4,Law Wai-Chun4,Lam Tak-Wah1,Lo Ivan Fai-Man2,Luo Ruibang1ORCID

Affiliation:

1. Department of Computer Science, The University of Hong Kong, Hong Kong

2. Clinical Genetic Service, Department of Health, Hong Kong

3. State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong

4. L3 Bioinformatics Limited, Hong Kong

Abstract

Abstract HKG is the first fully accessible variant database for Hong Kong Cantonese, constructed from 205 novel whole-exome sequencing data. There has long been a research gap in the understanding of the genetic architecture of southern Chinese subgroups, including Hong Kong Cantonese. HKG detected 196 325 high-quality variants with 5.93% being novel, and 25 472 variants were found to be unique in HKG compared to three Chinese populations sampled from 1000 Genomes (CHN). PCA illustrates the uniqueness of HKG in CHN, and the admixture study estimated the ancestral composition of HKG and CHN, with a gradient change from north to south, consistent with their geological distribution. ClinVar, CIViC and PharmGKB annotated 599 clinically significant variants and 360 putative loss-of-function variants, substantiating our understanding of population characteristics for future medical development. Among the novel variants, 96.57% were singleton and 6.85% were of high impact. With a good representation of Hong Kong Cantonese, we demonstrated better variant imputation using reference with the addition of HKG data, thus successfully filling the data gap in southern Chinese to facilitate the regional and global development of population genetics.

Funder

GRF

TRS

General Program

ITF

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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