ArticleBMJ open2020
Cohort profile: the Australian genetics of depression study.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 10 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
45 citing papers in PubMed, 10 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- Genome-wide genetic overlap between fear-based disorders and generalised anxiety disorder.Molecular psychiatry · 2026Pooled it
- Unravelling sex differences in the genetic architecture of anxiety.Psychological medicine · 2026Pooled it
- Genome-wide meta-analyses of non-response to antidepressants provide insights into underlying molecular genetics and suggest potential pharmacotherapies.Molecular psychiatry · 2026Pooled it
- A large-scale genome-wide association meta-analysis for nevus count provides direct insights into the genetics of melanoma.Nature communications · 2026Pooled it
- Sex-stratified genome-wide association meta-analysis of major depressive disorder.Nature communications · 2025Pooled it
- Large-scale GWAS of strabismus identifies risk loci and provides support for a link with maternal smoking.Nature communications · 2025Pooled it
- Cross-ancestry genome-wide association study and systems-level integrative analyses implicate new risk genes and therapeutic targets for depression.Nature human behaviour · 2025Pooled it
- Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals.Nature medicine · 2023Pooled it
- Discovery of genomic loci associated with sleep apnea risk through multi-trait GWAS analysis with snoring.Sleep · 2023Pooled it
- Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning.Frontiers in psychiatry · 2023Pooled it
- Genetics of major depressive disorder in a homogeneous population with uniform phenotyping.Molecular psychiatry · 2026Article
- Poor mood after oral contraceptive use is associated with increased vulnerability to peripartum depression, premenstrual dysphoric disorder, and higher genetic risk for depression.Archives of women's mental health · 2026Article
- The predicament of heritable confounders.Nature genetics · 2026Review
- Genome-wide analysis in over 1.6 million participants uncovers 147 loci associated with obstructive sleep apnoea.medRxiv : the preprint server for health sciences · 2025Article
- Genetics of Major Depressive Disorder in a Homogeneous Population with Uniform Phenotyping.Research square · 2025Article
- Prevalence and associated factors of chronic pain among nurses: a national cross-sectional study.BMC nursing · 2025Article
- Association between chronic pain and mental health among nurses in China: a national cross-sectional study.BMC nursing · 2025Article
- Feasibility of Collecting and Linking Digital Phenotyping, Clinical, and Genetics Data for Mental Health Research: Pilot Observational Study.JMIR formative research · 2025Observational
- Sociodemographic, clinical, and genetic factors associated with self-reported antidepressant response outcomes in the UK Biobank.Psychological medicine · 2025Article
- Markers of positive affect and brain state synchrony discriminate melancholic from non-melancholic depression using naturalistic stimuli.Molecular psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 7 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeDepression is the most common psychiatric disorder and the largest contributor to global disability. The Australian Genetics of Depression study was established to recruit a large cohort of individuals who have been diagnosed with depression at some point in their lifetime. The purpose of establishing this cohort is to investigate genetic and environmental risk factors for depression and response to commonly prescribed antidepressants.
participantsA total of 20 689 participants were recruited through the Australian Department of Human Services and a media campaign, 75% of whom were female. The average age of participants was 43 years±15 years. Participants completed an online questionnaire that consisted of a compulsory module that assessed self-reported psychiatric history, clinical depression using the Composite Interview Diagnostic Interview Short Form and experiences of using commonly prescribed antidepressants. Further voluntary modules assessed a wide range of traits of relevance to psychopathology. Participants who reported they were willing to provide a DNA sample (75%) were sent a saliva kit in the mail. FINDINGS TO DATE: 95% of participants reported being given a diagnosis of depression by a medical practitioner and 88% met the criteria for a lifetime depressive episode. 68% of the sample report having been diagnosed with another psychiatric disorder in addition to depression. In line with findings from clinical trials, only 33% of the sample report responding well to the first antidepressant they were prescribed. FUTURE PLANS: A number of analyses to investigate the genetic architecture of depression and common comorbidities will be conducted. The cohort will contribute to the global effort to identify genetic variants that increase risk to depression. Furthermore, a thorough investigation of genetic and psychosocial predictors of antidepressant response and side effects is planned.
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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.