We propose a computationally efficient genome-wide association study (GWAS) method, WtCoxG, for time-to-event (TTE) traits in the presence of case ascertainment— a form of oversampling bias. WtCoxG addresses case ascertainment bias by applying a weighted Cox proportional hazard model, and outperforms existing approaches when incorporating information on external allele frequencies.
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References
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This is a summary of: Li, Y. et al. Applying weighted Cox regression to genome-wide association studies of time-to-event phenotypes. Nat. Comput. Sci. https://doi.org/10.1038/s43588-025-00864-z (2025).
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Boosting power for time-to-event GWAS analysis affected by case ascertainment. Nat Comput Sci 5, 996–997 (2025). https://doi.org/10.1038/s43588-025-00892-9
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DOI: https://doi.org/10.1038/s43588-025-00892-9
