Detecting time-varying genetic effects in Alzheimer's disease using a longitudinal GWAS model.

Xiaowei ZhuangGang XuAmei AmeiDietmar CordesZuoheng WangEdwin C Ohnull null

Published in: bioRxiv : the preprint server for biology (2023)

We demonstrate that longitudinal GWAS models with time-varying coefficients can boost the statistical power in AD-GWAS. In addition, our analyses uncovered potential time-varying genetic variants on repeated measurements of clinical and biological phenotypes in AD.

Keyphrases

genome wide association study
cognitive decline
genome wide
cross sectional
gene expression
copy number
climate change