Multivariate genetic architecture of poor sleep quality.

ABSTRACT: The field of genetics has yet to elucidate the complex genetic underpinnings that influence sleep quality. Previous studies have conducted genome-wide association studies (GWAS) on different dimensions of sleep health, but have not directly analyzed the multivariate genetic structure of poor sleep quality (PSQ). To address this knowledge gap, we employed a multifaceted approach that incorporated Genomic Structural Equation Modeling (Genomic-SEM) and multiple Post-GWAS methods. This strategy enabled us to identify causal single nucleotide polymorphisms (SNPs) that contribute to the variability in poor sleep quality. Our study identified a total of 14 leading SNP loci (such as rs2820309) and 3 fine-mapping significant loci (such as KTN1: rs77168063). To further investigate the underlying mec

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12846996 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature