Population-Wide Genetic Risk Prediction of Complex Diseases: A Pilot Feasibility Study in Macau Population for Precision Public Healthcare Planning

Nancy B.Y. Tsui, Gregory Cheng, Teresa Chung, Christopher W.K. Lam, Anita Yee, Peter K.C. Chung, Tsz Ki Kwan, Elaine Ko, Daihai He, Wing Tak Wong, Johnson Y.N. Lau, Lok Ting Lau, Manson Fok

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


The genetic bases of many common diseases have been identified through genome-wide association studies in the past decade. However, the application of this approach on public healthcare planning has not been well established. Using Macau with population of around 650,000 as a basis, we conducted a pilot study to evaluate the feasibility of population genomic research and its potential on public health decisions. By performing genome-wide SNP genotyping of over a thousand Macau individuals, we evaluated the population genetic risk profiles of 47 non-communicable diseases and traits, as well as two traits associated with influenza infection. We found that for most of the diseases, the genetic risks of Macau population were different from those of Caucasian, but with similar profile with mainland Chinese. We also identified a panel of diseases that Macau population may have a high or elevated genetic risks. This pilot study showed that (1) population genomic study is feasible in Asian regions like Macau; (2) Macau may have different profile of population-based genetic risks than Caucasians, (3) the different prevalence of genetic risk profile indicates the importance of Asian-specific studies for Asian populations; and (4) the results generated may have an impact for going forward healthcare planning.
Original languageEnglish
Article number1853
JournalScientific Reports
Issue number1
Publication statusPublished - 1 Dec 2018

ASJC Scopus subject areas

  • General

Cite this