Tools Association tests Time to event phenotypes
Curation of Time to event phenotypes within Association tests — listings under the GWAS Tools tab.
Summary Table
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| NAME | URL | Main citation |
|---|---|---|
| WtCoxG | https://github.com/GeneticAnalysisinBiobanks/GRAB | Li, Y., Ma, Y., Xu, H. et al. Applying weighted Cox regression to genome-wide association studies of time-to-event… |
WtCoxG
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.
URL
KEYWORDS
Genome-wide association study, time-to-event phenotypes, Cox regression, case ascertainment, weighted Cox model, rare variants, minor allele frequencies, UK Biobank
Main citation
Li, Y., Ma, Y., Xu, H. et al. Applying weighted Cox regression to genome-wide association studies of time-to-event phenotypes. Nat Comput Sci (2025). https://doi.org/10.1038/s43588-025-00864-z
ARROW_SUMMARY
Genomic data + time-to-event phenotypes → Weighted Cox model with saddlepoint approximation → association signals; Leverages external MAF data → enhanced statistical power.
AI_GENERATED
1.0