ReviewHarvard review of psychiatry
Genetic determinants of depression: recent findings and future directions.
Review in Harvard review of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 6 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
77 citing papers in PubMed, 6 syntheses or guidelines pooled it, 156 citations in OpenAlex.
- The biological relationship among depression, vitamins BFrontiers in nutrition · 2025Pooled it
- Application of a diathesis-stress model to the interplay of cortical structural development and emerging depression in youth.Clinical psychology review · 2020Pooled it
- Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions.Nature neuroscience · 2019Pooled it
- What do DNA methylation studies tell us about depression? A systematic review.Translational psychiatry · 2019Pooled it
- Association between NR3C1 rs41423247 polymorphism and depression: A PRISMA-compliant meta-analysis.Medicine · 2018Pooled it
- Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression.Molecular psychiatry · 2018Pooled it
- Increased hippocampal tail volume predicts depression status and remission to anti-depressant medications in major depression.Molecular psychiatry · 2018Trial
- Additive genetic contribution to symptom dimensions in major depressive disorder.Journal of abnormal psychology · 2016Trial
- Secondary analysis of GenRED data (Genetics of Recurrent Early-Onset major Depression) using MERLIN.European archives of psychiatry and clinical neuroscience · 2026Article
- Explainable machine learning for depression risk prediction in adults with obesity: development of an online tool.BMC medical informatics and decision making · 2026Article
- The role of gene-environment interactions in endocrine-sensitive life stages for shaping mental health: focus on the RE-MEND project.Frontiers in psychiatry · 2026Review
- Peripheral blood CADM1 expression and multi-gene signatures in depressive disorders: a pilot case-control study from the United Arab Emirates.Frontiers in psychiatry · 2026Article
- Development, validation, and visualization of a machine learning-based predictive model for depression risk in sleep disorder patients.BMC psychiatry · 2025Article
- Inactive but awake behaviour as indicating a depression-like state in mice: aetiological factors and association with adult hippocampal neurogenesis.Royal Society open science · 2025Article
- Sex Influences Genetic Susceptibility to Depression-Like Behaviors in Chronic Unpredictable Mild Stress-Exposed Wistar Rats.Molecular neurobiology · 2025Article
- The influence of genetic factors on the severity of anxiety and depressive symptoms and the choice of coping strategies in reproductive tract cancer-a preliminary study.Frontiers in public health · 2025Article
- Knowledge graph and its application in the study of neurological and mental disorders.Frontiers in psychiatry · 2025Review
- High Prevalence of Severe Depression in Mexican Patients Diagnosed with HIV Treated with Efavirenz and Atazanavir: Clinical Follow-Up at Four Weeks and Analysis of TPH2 SNPs.Journal of clinical medicine · 2024Article
- New Evidence for the Role of the Blood-Brain Barrier and Inflammation in Stress-Associated Depression: A Gene-Environment Analysis Covering 19,296 Genes in 109,360 Humans.International journal of molecular sciences · 2024Article
- Cerebrospinal fluid metabolomes of treatment-resistant depression subtypes and ketamine response: a pilot study.Discover mental health · 2024Article
17 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
LEARNING
objectivesAfter participating in this activity, learners should be better able to: 1. Evaluate current evidence regarding the genetic determinants of depression 2. Assess findings from studies of gene-environment interaction 3. Identify challenges to gene discovery in depression Depression is one of the most prevalent, disabling, and costly mental health conditions in the United States and also worldwide. One promising avenue for preventing depression and informing its clinical treatment lies in uncovering the genetic and environmental determinants of the disorder as well as their interaction (G × E). The overarching goal of this review article is to translate recent findings from studies of genetic association and G × E related to depression, particularly for readers without in-depth knowledge of genetics or genetic methods. The review is organized into three major sections. In the first, we summarize what is currently known about the genetic determinants of depression, focusing on findings from genome-wide association studies (GWAS). In the second section, we review findings from studies of G × E, which seek to simultaneously examine the role of genes and exposure to specific environments or experiences in the etiology of depression. In the third section, we describe the challenges to genetic discovery in depression and promising strategies for future progress.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.