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Updated: Mar 6, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Estimating a scale-change effect for time-varying phenotypes in genome-wide association studies
Ying Qing Chen1, Xinyi Zhang1, Lue-Ping Zhao1
1Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, U.S.A.
None:
The Cox proportional hazards model has been used widely in genome-wide association (GWA) studies of censored time-varying phenotypes to investigate disease association expressed by the relative hazards. In this paper, we instead apply the so-called accelerated hazards model to explore a novel time scale-change genotypic association, which is not necessarily able to be identified by the traditional Cox models. Our application is motivated and demonstrated by a GWA study of hematopoietic stem cell transplantation cohort.
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