title: Estimating a scale-change effect for time-varying phenotypes in genome-wide association studies.
abstract: 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.
authors.affiliation: Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, U.S.A.
authors.forename: Ying Qing
authors.initials: YQ
authors.lastname: Chen
authors.affiliation: Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, U.S.A.
authors.forename: Xinyi
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, U.S.A.
authors.forename: Lue-Ping
authors.initials: LP
authors.lastname: Zhao
keywords: Accelerated hazards; censoring; non-proportionality; semiparametric model