scholarly journals Genome-wide association study of circadian rhythmicity in 71 500 UK Biobank participants and polygenic association with mood instability

2018 ◽  
Author(s):  
Amy Ferguson ◽  
Laura M. Lyall ◽  
Joey Ward ◽  
Rona J. Strawbridge ◽  
Breda Cullen ◽  
...  

AbstractBackgroundCircadian rhythms are fundamental to health and are particularly important for mental wellbeing. Disrupted rhythms of rest and activity are recognised as risk factors for major depressive disorder and bipolar disorder.MethodsWe conducted a genome-wide association study (GWAS) of low relative amplitude (RA), an objective measure of circadian rhythmicity derived from the accelerometer data of 71 500 UK Biobank participants. Polygenic risk scores (PRS) for low RA were used to investigate potential associations with psychiatric phenotypes.OutcomesTwo independent genetic loci were associated with low RA, within genomic regions for Neurofascin (NFASC) and Solute Carrier Family 25 Member 17 (SLC25A17). A secondary GWAS of RA as a continuous measure identified a locus within Meis Homeobox 1 (MEIS1). There were no significant genetic correlations between low RA and any of the psychiatric phenotypes assessed. However, PRS for low RA was significantly associated with mood instability across multiple PRS thresholds (at PRS threshold 0·05: OR=1·02, 95% CI=1·01-1·02, p=9·6×10−5), and with major depressive disorder (at PRS threshold 0·1: OR=1·03, 95% CI=1·01-1·05, p=0·025) and neuroticism (at PRS threshold 0·5: Beta=0·02, 95% CI=0·007-0·04, p=0·021).InterpretationOverall, our findings contribute new knowledge on the complex genetic architecture of circadian rhythmicity and suggest a putative biological link between disrupted circadian function and mood disorder phenotypes, particularly mood instability, but also major depressive disorder and neuroticism.

EBioMedicine ◽  
2018 ◽  
Vol 35 ◽  
pp. 279-287 ◽  
Author(s):  
Amy Ferguson ◽  
Laura M. Lyall ◽  
Joey Ward ◽  
Rona J. Strawbridge ◽  
Breda Cullen ◽  
...  

2010 ◽  
Vol 16 (2) ◽  
pp. 193-201 ◽  
Author(s):  
J Shi ◽  
J B Potash ◽  
J A Knowles ◽  
M M Weissman ◽  
W Coryell ◽  
...  

2017 ◽  
Author(s):  
Joey Ward ◽  
Rona J. Strawbridge ◽  
Mark E. S. Bailey ◽  
Nicholas Graham ◽  
Ferguson Amy ◽  
...  

AbstractMood instability is a core clinical feature of affective and psychotic disorders. In keeping with the Research Domain Criteria (RDoC) approach, it may be a useful construct for identifying biology that cuts across psychiatric categories. We aimed to investigate the biological validity of a simple measure of mood instability and evaluate its genetic relationship with several psychiatric disorders, including major depressive disorder (MDD), bipolar disorder (BD), schizophrenia, attention deficit hyperactivity disorder (ADHD), anxiety disorder and post-traumatic stress disorder (PTSD). We conducted a genome-wide association study (GWAS) of mood instability in 53,525 cases and 60,443 controls from UK Biobank, identifying four independently-associated loci (on chromosomes eight, nine, 14 and 18), and a common single nucleotide polymorphism (SNP)-based heritability estimate of approximately 8%. We found a strong genetic correlation between mood instability and MDD (rg=0.60, SE=0.07, p=8.95 × 10−17) and a small but significant genetic correlation with both schizophrenia (rg=0.11, SE=0.04, p=0.01) and anxiety disorders (rg=0.28, SE=0.14, p=0.04), although no genetic correlation with BD, ADHD or PTSD. Several genes at the associated loci may have a role in mood instability, including the DCC netrin 1 receptor (DCC) gene, eukaryotic translation initiation factor 2B subunit beta (eIF2B2), placental growth factor (PGF), and protein tyrosine phosphatase, receptor type D (PTPRD). Strengths of this study include the very large sample size, but our measure of mood instability may be limited by the use of a single question. Overall, this work suggests a polygenic basis for mood instability. This simple measure can be obtained in very large samples; our findings suggest that doing so may offer the opportunity to illuminate the fundamental biology of mood regulation.


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