The British Journal of Psychiatry· 2026Q1
Clinical and genetic correlates of a circadian subtype of depression in the Australian Genetics of Depression Study
- 1citations
- Q1SCImago
- 2026year
Short summary
A 'circadian' subtype of depression, characterized by features like social jetlag and evening chronotype, shows poorer response to SSRIs/SNRIs and is linked to higher genetic risk for ADHD, depression, anxiety, bipolar disorder, and metabolic/inflammatory traits.
AI-generated from the title and abstract; the full text is not read.
Key points
- A 'circadian' depression subtype was identified based on clinical features including social jetlag, seasonality, delayed sleep midpoint, evening chronotype, morning tiredness, and hypersomnia.
- The circadian subtype demonstrated poorer self-reported response to SSRIs (OR 0.88) and SNRIs (OR 0.89), and reported more side-effects.
- Higher polygenic risk scores were associated with the circadian subtype for ADHD (OR 1.11), major depression (OR 1.11), anxiety (OR 1.10), bipolar disorder (OR 1.09), BMI (OR 1.09), triglycerides (OR 1.10), IL-6 (OR 1.08), insulin resistance (OR 1.08), later sleep midpoint (OR 1.15), insomnia (OR 1.08), and later chronotype (OR 0.68).
AI-generated from the title and abstract; the full text is not read.
Abstract
BACKGROUND: Although commonly accepted depressive subtypes reflect phenotypic differences, there has been minimal progress in identification of discrete pathophysiological pathways, biomarkers or differential therapeutic approaches to 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. METHOD: Cross-sectional data were drawn from the nationwide Australian Genetics of Depression Study. Participants were classified as having a 'circadian' or 'non-circadian' subtype of depression on the basis of meeting criteria for at least three binary circadian-associated features: social jetlag, seasonality, delayed sleep midpoint, evening chronotype, morning tiredness and hypersomnia. Clinical course characteristics were compared. Associations with response to commonly prescribed antidepressants and polygenic risk scores for mental disorders and sleep, circadian, metabolic and inflammatory traits were investigated using logistic regression models. RESULTS: < 0.001), poorer response to selective serotonin reuptake inhibitors (odds ratio 0.88 [95% CI 0.82, 0.94]) and serotonin-noradrenaline reuptake inhibitors (odds ratio 0.89 [95% CI 0.83, 0.97]), and more side-effects compared with those with a non-circadian subtype. Having a circadian subtype was associated with higher polygenic risk scores for attention-deficit hyperactivity disorder (odds ratio 1.11 [95% CI 1.06, 1.17]), major depression (odds ratio 1.11 [95% CI 1.06, 1.16]), anxiety (odds ratio 1.10 [95% CI 1.04, 1.15]), bipolar disorder (odds ratio 1.09 [95% CI 1.04, 1.14]), body mass index (odds ratio 1.09 [95% CI 1.05, 1.14]), triglycerides (odds ratio 1.10 [95% CI 1.06, 1.16]), interleukin-6 (odds ratio 1.08 [95% CI 1.03, 1.13]), higher insulin resistance (odds ratio 1.08 [95% CI 1.04, 1.13]), later sleep midpoint (odds ratio 1.15 [95% CI 1.10, 1.21]), insomnia (odds ratio 1.08 [95% CI 1.03, 1.13]) and later chronotype (odds ratio 0.68 [95% CI 0.65, 0.71]). CONCLUSIONS: These findings support the face validity and potential clinical utility of a circadian subtype of depression as a clinical profile. Pending independent replication, investigation of its biology and predictive utility are warranted.
The authors' abstract, as published at the source. The British Journal of Psychiatry, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Endocrine and Autonomic Systems
Endocrine and Autonomic SystemsNeuroscience