Every Night and Every Morn

Effect of Variation in CLOCK Gene on Depression Depends on Exposure to Early and Recent Stress

Bibliographic Data

ID15525220
AuthorsDorka Gyorik, Nóra Eszlári (0000-0003-4913-028X, Semmelweis University), Zsófia Gál (0000-0002-9441-1497, Semmelweis University), Dóra Török (0000-0001-9213-4345, Semmelweis University), Dániel Baksa (0000-0002-7826-9179, Semmelweis University), Zsüliet Kristóf (0000-0001-5041-0444, Hungarian Academy of Sciences), Sára Sütöri (0000-0003-3468-0780, Semmelweis University), Péter Petschner (0000-0002-3198-858X, Semmelweis University), Gabriella Juhasz (0000-0002-5975-4267, Hungarian Academy of Sciences), Gyorgy Bagdy (0000-0001-8141-3410, Semmelweis University), Xénia Gonda (0000-0001-9015-4203, Hungarian Academy of Sciences, corresponding author)
Year2021
Volume12
Pages687487-687487
Publication date2021-08-26
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.687487
PMID34512413
OpenAlexW3198243036
LanguageEN
Citations received2
References cited106

The role of circadian dysregulation is increasingly acknowledged in the background of depressive symptoms, and is also a promising treatment target. Similarly, stress shows a complex relationship with the circadian system. The CLOCK gene, encoding a key element in circadian regulation has been implicated in previous candidate variant studies in depression with contradictory findings, and only a few such studies considered the interacting effects of stress. We investigated the effect of CLOCK variation with a linkage-disequilibrium-based clumping method, in interaction with childhood adversities and recent negative life events, on two phenotypes of depression, lifetime depression and current depressive symptoms in a general population sample. Methods: Participants in NewMood study completed questionnaires assessing childhood adversities and recent negative life events, the Brief Symptom Inventory to assess current depressive symptoms, provided data on lifetime depression, and were genotyped for 1054 SNPs in the CLOCK gene, 370 of which survived quality control and were entered into linear and logistic regression models with current depressive symptoms and lifetime depression as the outcome variable, and childhood adversities or recent life events as interaction variables followed by a linkage disequilibrium-based clumping process to identify clumps of SNPs with a significant main or interaction effect. Results: No significant clumps with a main effect were found. In interaction with recent life events a significant clump containing 94 SNPs with top SNP rs6825994 for dominant and rs6850524 for additive models on current depression was identified, while in interaction with childhood adversities on current depressive symptoms, two clumps, both containing 9 SNPs were found with top SNPs rs6828454 and rs711533. Conclusion: Our findings suggest that CLOCK contributes to depressive symptoms, but via mediating the effects of early adversities and recent stressors. Given the increasing burden on circadian rhythmicity in the modern lifestyle and our expanding insight into the contribution of circadian disruption in depression especially as a possible mediator of stress, our results may pave the way for identifying those who would be at an increased risk for depressogenic effects of circadian dysregulation in association with stress as well as new molecular targets for intervention in stress-related psychopathologies in mood disorders

Biology · Circadian clock · Circadian rhythm · CLOCK · Depression (economics · Gene · Genotype · Linkage Disequilibrium · Logistic regression · Population · Psychiatry · Single-nucleotide polymorphism · Circadian rhythm and melatonin · Clinical Psychology · Medicine · Neuroscience · Psychology · Stress Responses and Cortisol · Tryptophan and brain disorders · Genetics · Internal Medicine

Tools

Open DOIOpen Access