TY - JOUR
T1 - Population-scale genomic medicine with the Hong Kong Genome Project
AU - Ying, Dingge
AU - Cheung, Ching Lung
AU - O, Chun Kwan
AU - Lam, Wai Kei Jacky
AU - Au Yeung, Shiu Lun
AU - Lau, Chak Sing
AU - Luk, Ho Ming
AU - Leung, Christopher Kai Shun
AU - Tse, Desiree Man Sik
AU - Liu, James Si Chai
AU - Hue, Shirley Pik Ying
AU - Kwok, Jamie Sui Lam
AU - Yeung, Denis Long Him
AU - Preusch, Christopher Brandon
AU - Ma, Wei
AU - Tang, Wenshu
AU - Tong, Amy Hin Yan
AU - Au, Lisa Wing Chi
AU - Chan, Juliana Chung Ngor
AU - Chan, Yap Hang
AU - Cheng, Shirley Sze Wing
AU - Chong, Shuk Ching
AU - Fung, Cheuk Wing
AU - Ho, Stephanie
AU - Krishnamoorthy, Suhas
AU - Leung, Gabriel Matthew
AU - Li, Philip Hei
AU - Li, Qing
AU - Loong, Herbert Ho Fung
AU - Lui, Rashid Nok Shun
AU - Luo, Shan
AU - Ma, Becky Mingyao
AU - Ma, Ronald Ching Wan
AU - Na, Rong
AU - Tan, Kathryn Choon Beng
AU - Wong, Sheila Suet Na
AU - Lo, Su Vui
AU - Chu, Annie Tsz Wai
AU - Chung, Brian Hon Yin
N1 - Publisher Copyright:
© The Author(s) 2026.
PY - 2026/6
Y1 - 2026/6
N2 - The Hong Kong Genome Project (HKGP) aims to build a foundational resource for precision medicine in the Chinese population through large-scale genome sequencing and integrated analyses. Here we report findings from over 20,000 HKGP participants across two cohorts: a rare disease cohort including 2,227 patients with suspected genetic diseases and a population cohort including 18,261 participants undergoing genomic screening for medically actionable findings. The rare disease cohort achieved a diagnostic rate of 25%. When benchmarked against panels designed for European ancestries, the analysis revealed that 3.7% of the individuals in the population cohort had pathogenic or likely pathogenic variants associated with dominant disorders. While 48% of individuals were found to carry recessive disorder genes in the gene list based upon European ancestries, our analysis revealed that 38 additional clinically important genes would have been overlooked in the Chinese population. Pharmacogenomic analysis demonstrated that nearly all participants harbored at least one actionable phenotype, potentially informing nearly one million annual prescriptions in Hong Kong. The ongoing HKGP establishes a curated Hong Kong Chinese reference for clinically relevant genetic variation and serves as a blueprint for the implementation of precision medicine in underrepresented populations.
AB - The Hong Kong Genome Project (HKGP) aims to build a foundational resource for precision medicine in the Chinese population through large-scale genome sequencing and integrated analyses. Here we report findings from over 20,000 HKGP participants across two cohorts: a rare disease cohort including 2,227 patients with suspected genetic diseases and a population cohort including 18,261 participants undergoing genomic screening for medically actionable findings. The rare disease cohort achieved a diagnostic rate of 25%. When benchmarked against panels designed for European ancestries, the analysis revealed that 3.7% of the individuals in the population cohort had pathogenic or likely pathogenic variants associated with dominant disorders. While 48% of individuals were found to carry recessive disorder genes in the gene list based upon European ancestries, our analysis revealed that 38 additional clinically important genes would have been overlooked in the Chinese population. Pharmacogenomic analysis demonstrated that nearly all participants harbored at least one actionable phenotype, potentially informing nearly one million annual prescriptions in Hong Kong. The ongoing HKGP establishes a curated Hong Kong Chinese reference for clinically relevant genetic variation and serves as a blueprint for the implementation of precision medicine in underrepresented populations.
UR - https://www.scopus.com/pages/publications/105039081367
U2 - 10.1038/s41591-026-04410-w
DO - 10.1038/s41591-026-04410-w
M3 - Article
C2 - 42141198
AN - SCOPUS:105039081367
SN - 1078-8956
VL - 32
SP - 2277
EP - 2287
JO - Nature Medicine
JF - Nature Medicine
IS - 6
ER -