GenomicSEM Modelling of Diverse Executive Function GWAS Improves Gene Discovery.

ABSTRACT: Previous research has supported the use of latent variables as the gold-standard in measuring executive function. However, for logistical reasons genome-wide association studies (GWAS) of executive function have largely eschewed latent variables in favour of singular task measures. As low correlations have traditionally been found between individual executive function (EF) tests, it is unclear whether these GWAS have truly been measuring the same construct. In this study, we addressed this question by performing a factor analysis on summary statistics from eleven GWAS of EF taken from five studies, using GenomicSEM. Models demonstrated a bifactor structure consistent with previous research, with factors capturing common EF and working memory- specific variance. Furthermore, the GWAS perfor

SUBMITTER: Perry LC 

PROVIDER: S-EPMC11882726 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature