Set-Based Tests for Genetic Association Studies with Interval-Censored Competing Risks Outcomes.

ABSTRACT: Over the past decade, massive genetic compendiums such as the UK Biobank have gathered extensive genetic and phenotypic data that hold the potential to provide unparalleled insight into the genetic etiologies of various complex diseases. However, much of the disease information is collected as time-to-event outcomes in interval-censored form, and conventional tools for genetic association analysis are often not available for this type of data. For example, set-based inference for common and rare variants analysis is a fundamental investigation in germline genetics studies, but there is a lack of approaches that can perform set-based testing when the interval-censored outcome of interest is subject to the competing risk of another event. To address the need, this work proposes two set-based

SUBMITTER: Xu Z 

PROVIDER: S-EPMC12396347 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature