Weang-Kee Ho

This study analyzes breast cancer GWAS across multiple ancestries, finding similar heritability and genetic correlations, and identifies shared regulatory and cellular contexts.

The paper develops a population-specific gene signature, MyGESig, which improves survival prediction in Malaysian breast cancer patients compared to existing models.

The paper uses case-control data from over 400,000 women to classify BRCA1 and BRCA2 variants, finding high consistency with ClinVar annotations for 785 previously unclassified variants.

This paper evaluates differences in a breast cancer polygenic risk score across genomic platforms and finds that calibration improves consistency in high-risk classification.

This paper evaluates polygenic risk scores for breast cancer prediction in Korean women, finding that combining Asian and European PRS improves discrimination over lifestyle factors.