This primary research article presents observational data from the Australian Genetics of Depression Study involving 12,460 adults aged 18-90 with a history of depression. The study examined the relationship between environmental exposure to latitude and polygenic scores for eight traits, including major depressive disorder, bipolar disorder, anxiety disorders, chronotype, sleep duration, body mass index, vitamin D levels, and educational attainment.
Results indicate a positive association between latitude and SAD status, with an odds ratio of 1.05 (95%CI=1.03-1.06, padjusted<0.001). General seasonality scores were associated with latitude (IRR=1.01, padjusted=0.001) and genetic risks for major depressive disorder (IRR=1.02, padjusted<0.001), bipolar disorder (IRR=1.02, padjusted=0.001), and anxiety disorders (IRR=1.03, padjusted<0.001).
Vitamin D levels showed an inverse association (OR=0.89, padjusted=0.048), while educational attainment was negatively associated (IRR=0.97, padjusted<0.001). Gene-environment interactions between chronotype genetic risk and latitude showed nominal evidence but were not statistically significant (padjusted=0.381 additive; padjusted=0.489 multiplicative).
The authors note that association is reported and causality is not established. Safety data regarding adverse events were not reported. Clinicians should interpret these findings cautiously given the observational design and lack of causal evidence. Further research is needed to determine clinical implications for seasonal affective disorder management.
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Background: The etiology and nosological status of seasonal affective disorder (SAD) as a specifier of depressive episodes versus a transdiagnostic disorder are the subject of debate. In this study, we investigated the underlying etiology of SAD and dimensional seasonality by examining their association with latitude and genetic risk for a range of traits, and investigated gene-environment interactions. Methods: This study included 12,460 adults aged 18-90 with a history of depression from the Australian Genetics of Depression Study. Regression models included predictors for latitude (distance from equator) and polygenic scores for eight traits; major depressive disorder, bipolar disorder, anxiety disorders, chronotype, sleep duration, body mass index, vitamin D levels, and educational attainment. Outcomes were SAD status and general seasonality score. Results: SAD was positively associated with latitude (OR[95%CI] = 1.05[1.03-1.06], padjusted<0.001), and there was nominal evidence of additive and multiplicative interactions between chronotype genetic risk and latitude (OR = 0.99[0.99-0.99], padjusted=0.381; OR=0.98[0.97-0.99], padjusted=0.489). General seasonality score was associated with latitude (IRR=1.01[1.01-1.01], padjusted 0.001) and genetic risk for major depressive disorder (IRR =1.02[1.01-1.03], padjusted<0.001), bipolar disorder (IRR=1.02[1.01-1.03], padjusted=0.001), anxiety disorders (IRR=1.03[1.01-1.04], padjusted<0.001), vitamin D levels (OR=0.89[0.80-0.95], padjusted=0.048), and educational attainment (IRR=0.97[0.96-0.99], padjusted<0.001). Conclusions: These findings enhance understanding of SAD etiology, highlighting contributions of psychiatric genetic risk and geographic measures on seasonal behavior, and support examining seasonality as a continuous dimension.