Machine learning analyses reveal circadian clock features predictive of anxiety among UK biobank participants.

ABSTRACT: Mood disorders, including depression and anxiety, affect almost one-fifth of the world's adult population and are becoming increasingly prevalent. Mutations in circadian clock genes have previously been associated with mood disorders both directly and indirectly through alterations in circadian phase, suggesting that the circadian clock influences multiple molecular pathways involved in mood. By targeting previously identified single nucleotide polymorphisms (SNPs) that have been implicated in anxiety and depressive disorders, we use a combination of statistical and machine learning techniques to investigate associations with the generalized anxiety disorder assessment (GAD-7) scores in a UK Biobank sample of 90,882 individuals. As in previous studies, we observed that females exhibited hi

SUBMITTER: Ventresca C 

PROVIDER: S-EPMC10724169 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature