ReviewMolecular psychiatry2009
A framework for interpreting genome-wide association studies of psychiatric disorders.
Review in Molecular psychiatry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
101 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Significant Locus and Metabolic Genetic Correlations Revealed in Genome-Wide Association Study of Anorexia Nervosa.The American journal of psychiatry · 2017Pooled it
- A meta-analysis of gene expression quantitative trait loci in brain.Translational psychiatry · 2014Pooled it
- A mega-analysis of genome-wide association studies for major depressive disorder.Molecular psychiatry · 2013Pooled it
- Meta-analysis of genome-wide association data identifies a risk locus for major mood disorders on 3p21.1.Nature genetics · 2010Pooled it
- Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant data.Genetic epidemiology · 2010Pooled it
- Deep learning-based stratification of Schizophrenia Spectrum Disorder from real-world data reveals distinct profiles of common and rare variant genetic signal.medRxiv : the preprint server for health sciences · 2026Article
- A rare variant inProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Analyzing bivariate cross-trait genetic architecture in GWAS summary statistics with the BIGA cloud computing platform.bioRxiv : the preprint server for biology · 2024Article
- Leveraging sex-genetic interactions to understand brain disorders: recent advances and current gaps.Brain communications · 2024Review
- Prior differences in previous trauma exposure primarily drive the observed racial/ethnic differences in posttrauma depression and anxiety following a recent trauma.Psychological medicine · 2023Article
- New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
- Repurposing Drugs via Network Analysis: Opportunities for Psychiatric Disorders.Pharmaceutics · 2022Review
- Coming of Age: Human Genomics and the Cancer-Immune Set Point.Cancer immunology research · 2022Article
- Review
- Genomics of Obsessive-Compulsive Disorder-Toward Personalized Medicine in the Era of Big Data.Frontiers in pediatrics · 2021Review
- SZDB2.0: an updated comprehensive resource for schizophrenia research.Human genetics · 2020Article
- The polygenic architecture of schizophrenia - rethinking pathogenesis and nosology.Nature reviews. Neurology · 2020Review
- Interplay between genome-wide implicated genetic variants and environmental factors related to childhood antisocial behavior in the UK ALSPAC cohort.European archives of psychiatry and clinical neuroscience · 2019Article
- National Institute on Drug Abuse genomics consortium white paper: Coordinating efforts between human and animal addiction studies.Genes, brain, and behavior · 2019Review
- Genetic and environmental influences on gambling disorder liability: a replication and combined analysis of two twin studies.Psychological medicine · 2019Article
41 more citing papers are in PubMed but not listed here.
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Authors and funding
1 author.
Funding
Abstract
Genome-wide association studies (GWAS) have yielded a plethora of new findings in the past 3 years. By early 2009, GWAS on 47 samples of subjects with attention-deficit hyperactivity disorder, autism, bipolar disorder, major depressive disorder and schizophrenia will be completed. Taken together, these GWAS constitute the largest biological experiment ever conducted in psychiatry (59 000 independent cases and controls, 7700 family trios and >40 billion genotypes). We know that GWAS can work, and the question now is whether it will work for psychiatric disorders. In this review, we describe these studies, the Psychiatric GWAS Consortium for meta-analyses of these data, and provide a logical framework for interpretation of some of the conceivable outcomes.
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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.