Genome-wide association studies (GWAS) have identified over 170 common breast cancer susceptibility variants using standard GWAS methods. Many of these variants have differential associations by estrogen receptor (ER), but how these variants relate …
Polygenic risk scores are useful for predicting various phenotypes; however, most PRS are developed using predominately European ancestry data, their performance in non-European populations is often poorer. To improve PRS performance in non-European populations, we propose a new method, which takes advantage of both existing large GWAS from European populations and smaller GWAS from non-European populations.
Breast cancer represents a heterogeneous group of diseases with different molecular and clinical features. Thus, clarifying potential heterogeneous associations between genes and disease subtypes offers a tremendous opportunity to characterize distinct etiological pathways. I proposed several new computational and statistical approaches to develop powerful genetic associations tests.
Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across …
Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 …
Cancers are routinely classified into subtypes according to various features, including histopathological characteristics and molecular markers. Previous genome-wide association studies have reported heterogeneous associations between loci and cancer …