ReviewPsychological medicine2019
Unraveling the genetic architecture of major depressive disorder: merits and pitfalls of the approaches used in genome-wide association studies.
Review in Psychological medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic Landscape of Major Depressive Disorder: Assessment of Potential Diagnostic and Antidepressant Response Markers.The international journal of neuropsychopharmacology · 2023Pooled it
- Gender differences in clinical correlates of glucose disturbance in patients with first-episode and drug-naïve major depressive disorder.European archives of psychiatry and clinical neuroscience · 2026Article
- Single-item patient-rated helpfulness and improvement as an alternative to standardized questionnaires for establishing anxiety and depression treatment efficacy.Psychological assessment · 2025Article
- Peripheral MicroRNA Signatures in Adolescent Depression.Biological psychiatry global open science · 2025Article
- Genotype-Environment Interaction in ADHD: Genetic Predisposition Determines the Extent to Which Environmental Influences Explain Variability in the Symptom Dimensions Hyperactivity and Inattention.Behavior genetics · 2024Article
- Dimensional and transdiagnostic phenotypes in psychiatric genome-wide association studies.Molecular psychiatry · 2023Review
- Burning down the house: reinventing drug discovery in psychiatry for the development of targeted therapies.Molecular psychiatry · 2023Review
- Longitudinal early epigenomic signatures inform molecular paths of therapy response and remission in depressed patients.Frontiers in molecular neuroscience · 2023Article
- Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches.Scientific reports · 2022Article
- Genetic heterogeneity and subtypes of major depression.Molecular psychiatry · 2022Article
- Exploring the genetic heterogeneity in major depression across diagnostic criteria.Molecular psychiatry · 2021Article
- Symptom-level modelling unravels the shared genetic architecture of anxiety and depression.Nature human behaviour · 2021Article
- Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction.American journal of human genetics · 2021Article
- Major Depressive Disorder: Advances in Neuroscience Research and Translational Applications.Neuroscience bulletin · 2021Review
- Genome-wide association study of psychiatric and substance use comorbidity in Mexican individuals.Scientific reports · 2021Article
- Need to establish a new adolescent suicide prevention programme in South Korea.General psychiatry · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
To identify genetic risk loci for major depressive disorder (MDD), two broad study design approaches have been applied: (1) to maximize sample size by combining data from different phenotype assessment modalities (e.g. clinical interview, self-report questionnaires) and (2) to reduce phenotypic heterogeneity through selecting more homogenous MDD subtypes. The value of these strategies has been debated. In this review, we summarize the most recent findings of large genomic studies that applied these approaches, and we highlight the merits and pitfalls of both approaches with particular attention to methodological and psychometric issues. We also discuss the results of analyses that investigated the heterogeneity of MDD. We conclude that both study designs are essential for further research. So far, increasing sample size has led to the identification of a relatively high number of genomic loci linked to depression. However, part of the identified variants may be related to a phenotype common to internalizing disorders and related traits. As such, samples containing detailed clinical information are needed to dissect depression heterogeneity and enable the potential identification of variants specific to a more restricted MDD phenotype. A balanced portfolio reconciling both study design approaches is the optimal approach to progress further in unraveling the genetic architecture of depression.
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