Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77493
Title: Population-wide genetic risk prediction of complex diseases : a pilot feasibility study in macau population for precision public healthcare planning
Authors: Tsui, NBY 
Cheng, G
Chung, T 
Lam, CWK
Yee, A
Chung, PKC
Kwan, TK
Ko, E
He, D
Wong, WT 
Lau, JYN 
Lau, LT 
Fok, M
Issue Date: 2018
Publisher: Nature Publishing Group
Source: Scientific reports, 2018, v. 8, no. 1, 1853 How to cite?
Journal: Scientific reports 
Abstract: 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.
URI: http://hdl.handle.net/10397/77493
EISSN: 2045-2322
DOI: 10.1038/s41598-017-19017-y
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.