Causes and consequences of major depressive disorder: An encompassing Mendelian randomization study
Pasman, J. A.; Bergstedt, J. A.; Harder, A.; Gong, T.; Xiong, Y.; Hagg, S.; Fang, F.; Treur, J.; Choi, K. W.; Sullivan, P. F.; Lu, Y.
Show abstract
BackgroundMajor depressive disorder (MDD) is a prevalent and debilitating disorder that has been associated with a range of risk factors and outcomes. Causal pathways between MDD and other traits can be studied using genetic variants as instrumental variables. MethodsA literature review was conducted to identify 201 MDD-associated traits. For 115 traits, there were well-powered genome-wide association study (GWAS) results available that could be used to assess the genetic correlation with MDD. Of these, there were 89 meeting criteria for investigating causal associations in both directions using two-sample Mendelian randomization (TSMR). Of the traits that were not captured by GWAS, 43 could be included as outcomes of MDD using one-sample MR (OSMR). A range of methods and sensitivity tests was applied to gauge robustness of results, together with statistical power analyses to aid interpretation. OutcomesModerate to strong genetic overlap was found between MDD and most traits. Support for causal effects of MDD liability were found for circadian, cognitive, diet, medical disease, endocrine, functional, inflammatory, metabolic, mortality, physical activity, reproduction, risk behavior, social, socioeconomic, and suicide outcomes. Most associations were bidirectional, although there was less evidence for diet, disease, and endocrine traits causing MDD risk. Results were robust across sensitivity analyses. InterpretationThis study provides a systematic overview of traits putatively causally related to MDD, confirming previous findings as well as identifying new associations. Our results highlight the importance of MDD as a risk factor cross-cutting across medical, functional, and psychosocial domains and emphasize the need for concerted efforts at reducing this highly prevalent disorder.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cross-phenotype relationship between opioid use disorder and suicide attempts: new evidence from polygenic association and Mendelian randomization analyses 96%
- Estimating the impact of transmitted and non-transmitted psychiatric and neurodevelopmental polygenic scores on youth emotional problems 96%
- Immunological Drivers and Potential Novel Drug Targets for Major Psychiatric, Neurodevelopmental, and Neurodegenerative Conditions 96%
Similar papers in this journal
- A Multivariate Genome-Wide Association Study Reveals Neural Correlates and Common Biological Mechanisms of Psychopathology Spectra 96%
- Evidence of shared genetic influences underlying schizophrenia and alcohol use disorder, but not alcohol consumption 95%
- Integrating HiTOP and RDoC Frameworks Part II: Shared and Distinct Biological Mechanisms of Externalizing and Internalizing Psychopathology 95%
Similar papers in this journal
- Are psychiatric disorders risk factors for COVID-19 susceptibility and severity? a two-sample, bidirectional, univariable and multivariable Mendelian Randomization study 97%
- Differential and spatial expression meta-analysis of genes identified in genome-wide association studies of depression 96%
- Genetic liability to major psychiatric disorders contributes to multi-faceted quality of life outcomes in children and adults 96%
Similar papers in this journal
- Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders 96%
- Polygenic analyses show important differences between MDD symptoms collected using PHQ9 and CIDI-SF 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
- Glycoprotein Acetyls and Depression: testing for directionality and potential causality using longitudinal data and Mendelian randomization analyses 95%
- Causal influence of dietary habits on the risk of major depressive disorder: A diet-wide Mendelian randomization analysis 94%
- Genomics-based identification of a potential causal role for acylcarnitine metabolism in depression 94%
"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.