Article
Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam.
Briefings in bioinformatics - 19 Nov 2022
Pham Duy, Truong Buu, Tran Khai, Ni Guiyan, Nguyen Dat, Tran Trang T H, Tran Mai H, Nguyen Thuy Duong, Vo Nam S, Nguyen Quan
Abstract excerpt
Most polygenic risk score (PRS)models have been based on data from populations of European origins (accounting for the majority of the large genomics datasets, e.g. >78% in the UK Biobank and >85% in the GTEx project). Although several large-scale Asian biobanks were initiated (e.g. Japanese, Korean, Han Chinese biobanks), most other Asian countries have little or near-zero genomics data. To implement PRS models...
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