Clinical and genetic correlates of a circadian subtype of depression in the Australian Genetics of Depression Study

Read full text
Authors: Emiliana Tonini, Jacob J. Crouse, Mirim Shin, Joanne Sarah Carpenter, Brittany L. Mitchell, Enda M. Byrne, Penelope A. Lind, Scott D Gordon, Richard Parker, Samuel James Hockey, Timothy To, Andrew Shim
+9 more Alexander Hill, Anna Treneman, Elizabeth Scott, Jan Scott, Kathleen Ries Merikangas, Naomi R. Wray, Nicholas G Martin, Sarah E Medland, Ian B. Hickie
Cited by: 1

Abstract

BACKGROUND: While commonly accepted depressive subtypes reflect phenotypic differences, there has been minimal progress in identifying discrete pathophysiological pathways, biomarkers or differential therapeutic approaches which effectively guide clinical management. AIMS: To test the biological validity and clinical utility of a circadian subtype of depression on the basis of clinical course, differential medication response (self-reported) and genetic risk profile. METHODS: Cross-sectional data were drawn from the nationwide, genetically-informative Australian Genetics of Depression Study. Participants were classified as having a 'circadian' versus 'non-circadian' subtype of depression on the basis of meeting criteria for at least three binary circadian features: social jetlag, seasonality, delayed sleep midpoint, evening chronotype, sleep inertia, and hypersomnia. Clinical course characteristics were compared. Associations with response to commonly prescribed antidepressants and polygenic risk scores (PGS) for mental disorders and sleep, circadian, metabolic and inflammatory traits, were investigated using logistic regression models. RESULTS: 2,604 participants (23%; 80% females; mean age=37.87, sd=13.62) had a circadian subtype. These cases reported an earlier age of onset (p

Fields of Study & Subjects

Circadian rhythm and melatonin Treatment of Major Depression Tryptophan and brain disorders

Publication details

Journal / source
medRxiv
Publisher
openRxiv
Publication date
25 February 2026
Language
EN
Document type
Preprint