Gene-based association analysis for bivariate time-to-event data through functional regression with copula models.

ABSTRACT: Several gene-based association tests for time-to-event traits have been proposed recently to detect whether a gene region (containing multiple variants), as a set, is associated with the survival outcome. However, for bivariate survival outcomes, to the best of our knowledge, there is no statistical method that can be directly applied for gene-based association analysis. Motivated by a genetic study to discover the gene regions associated with the progression of a bilateral eye disease, age-related macular degeneration (AMD), we implement a novel functional regression (FR) method under the copula framework. Specifically, the effects of variants within a gene region are modeled through a functional linear model, which then contributes to the marginal survival functions within the copula. Ge

SUBMITTER: Wei Y 

PROVIDER: S-EPMC7165069 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature