KEYWORDS : Genome-wide association study, time-to-event phenotypes, Cox regression, case ascertainment, weighted Cox model, rare variants, minor allele frequencies, UK Biobank
DESCRIPTION : A computationally efficient Cox-based method for genome-wide association studies (GWAS) of time-to-event phenotypes that addresses case ascertainment bias using a weighted Cox proportional hazards model, incorporates saddlepoint approximation for accuracy with rare variants, and boosts statistical power by integrating external minor allele frequency (MAF) data from public resources.
ARROW_SUMMARY : Genomic data + time-to-event phenotypes → Weighted Cox model with saddlepoint approximation → association signals; Leverages external MAF data → enhanced statistical power.