Detecting time-varying genetic effects in Alzheimer's disease using a longitudinal genome-wide association studies model.

ABSTRACT:

Introduction

The development and progression of Alzheimer's disease (AD) is a complex process, during which genetic influences on phenotypes may also change. Incorporating longitudinal phenotypes in genome-wide association studies (GWAS) could unmask these genetic loci.

Methods

We conducted a longitudinal GWAS using a varying coefficient test to identify age-dependent single nucleotide polymorphisms (SNPs) in AD. Data from 1877 Alzheimer's Neuroimaging Data Initiative participants, including impairment status and amyloid positron emission tomography (PET) scan standardized uptake value ratio (SUVR) scores, were analyzed using a retrospective varying coefficient mixed model association test (RVMMAT).

Results

RVMMAT identified 244 SNPs with significant time-varying effe

SUBMITTER: Zhuang X 

PROVIDER: S-EPMC11157162 | biostudies-literature | 2024 Apr-Jun

REPOSITORIES: biostudies-literature