Disentangling causal relationships between inflammatory markers and depression: a bidirectional Mendelian randomization analysis
Dardani, C.; Yarmolinsky, J.; Robinson, J.; Zheng, J.; Davey Smith, G.; Lewis, S. J.; Sinclair, L. I.
Show abstract
BackgroundThe inflammatory markers C-reactive protein (CRP), interleukin-1 receptor antagonist (IL1-Ra), and interleukin-6 (IL-6) have been associated with depression risk in observational studies. The causal nature of these associations is unclear as conventional observational designs are susceptible to reverse causation and residual confounding. Bidirectional Mendelian randomization (MR) analysis uses genetic variants to proxy for risk factors to help elucidate the presence, magnitude, and direction of causal relationships between traits. MethodsWe performed bidirectional two-sample MR to examine causal associations between circulating CRP, IL1-Ra, and IL-6 and major depressive disorder (MDD) in 135,458 cases and 344,901 controls in the Psychiatric Genetics Consortium. Genetic instruments to proxy inflammatory markers and liability to MDD were constructed by obtaining single-nucleotide polymorphisms (SNPs) associated with these phenotypes in genome-wide association study meta-analyses. Wald ratios and inverse-variance weighted random-effects models were employed to generate causal effect estimates and various sensitivity analyses were performed to examine violations of MR assumptions. ResultsThere was evidence supporting a causal effect of circulating IL-6 on risk of MDD (per natural-log increase: OR 0.85, 95% CI: 0.75-0.96, P=0.007). Higher circulating levels of IL-6 as influenced by variants in the IL6R gene region represent lower cellular binding of IL-6 to its receptor and therefore the present results suggest that IL-6 increases the risk of MDD. We found limited evidence supporting a causal effect of CRP (1.06, 95% CI 0.93-1.22; P=0.36) or IL1-Ra (OR 0.95, 95% CI: 0.87-1.03, P=0.20) on risk of MDD. Reverse direction MR analyses suggested limited evidence for a causal effect of genetic liability to MDD on any of the inflammatory markers examined. ConclusionsThese findings support a causal role of IL-6-related pathways in development of major depressive disorder and suggest the possible efficacy of interleukin-6 inhibition as a therapeutic target for depression.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression 97%
- Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort 96%
- Are psychiatric disorders risk factors for COVID-19 susceptibility and severity? a two-sample, bidirectional, univariable and multivariable Mendelian Randomization study 96%
Similar papers in this journal
- A computational approach to understanding effort-based decision-making in depression 95%
- A Multivariate Genome-Wide Association Study Reveals Neural Correlates and Common Biological Mechanisms of Psychopathology Spectra 94%
- Distinct neurofunctional alterations during motivational and hedonic processing of natural and monetary rewards in depression – a neuroimaging meta-analysis 94%
Similar papers in this journal
- Novel polygenic risk score links depression-related cortical transcriptomic changes to brain morphology and depressive symptoms in men 95%
- Sensitive period-regulating genetic pathways and exposure to adversity shape risk for depression 95%
- Estimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach 94%
Similar papers in this journal
- Genetic variation in the Major Histocompatibility Complex and association with depression 96%
- Comorbidity alters the genetic relationship between anxiety disorders and major depression 96%
- The genetics of the mood disorder spectrum: genome-wide association analyses of over 185,000 cases and 439,000 controls 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.