Evidence map›Paper›PMID 30845820›Full record

ArticleThe American journal of psychiatry2019

No Support for Historical Candidate Gene or Candidate Gene-by-Interaction Hypotheses for Major Depression Across Multiple Large Samples.

Richard Border, Emma C Johnson, Luke M Evans, Andrew Smolen, Noah Berley, Patrick F Sullivan, Matthew C Keller

Abstract read
In one paragraph

Article in The American journal of psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 253 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
253citing papers in PubMed, 15 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

253 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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193 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Richard BorderThe Institute for Behavioral Genetics (Border, Johnson, Evans, Smolen, Keller), the Department of Psychology and Neuroscience (Border, Berley, Keller), the Department of Applied Mathematics (Border), and the Department of Ecology and Evolutionary Biology (Evans), University of Colorado Boulder, Boulder; the Department of Psychiatry, Washington University School of Medicine, St. Louis (Johnson); the Department of Genetics and Psychiatry, University of North Carolina at Chapel Hill (Sullivan); and the Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm (Sullivan).
Emma C JohnsonThe Institute for Behavioral Genetics (Border, Johnson, Evans, Smolen, Keller), the Department of Psychology and Neuroscience (Border, Berley, Keller), the Department of Applied Mathematics (Border), and the Department of Ecology and Evolutionary Biology (Evans), University of Colorado Boulder, Boulder; the Department of Psychiatry, Washington University School of Medicine, St. Louis (Johnson); the Department of Genetics and Psychiatry, University of North Carolina at Chapel Hill (Sullivan); and the Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm (Sullivan).
Luke M EvansThe Institute for Behavioral Genetics (Border, Johnson, Evans, Smolen, Keller), the Department of Psychology and Neuroscience (Border, Berley, Keller), the Department of Applied Mathematics (Border), and the Department of Ecology and Evolutionary Biology (Evans), University of Colorado Boulder, Boulder; the Department of Psychiatry, Washington University School of Medicine, St. Louis (Johnson); the Department of Genetics and Psychiatry, University of North Carolina at Chapel Hill (Sullivan); and the Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm (Sullivan).
Andrew SmolenThe Institute for Behavioral Genetics (Border, Johnson, Evans, Smolen, Keller), the Department of Psychology and Neuroscience (Border, Berley, Keller), the Department of Applied Mathematics (Border), and the Department of Ecology and Evolutionary Biology (Evans), University of Colorado Boulder, Boulder; the Department of Psychiatry, Washington University School of Medicine, St. Louis (Johnson); the Department of Genetics and Psychiatry, University of North Carolina at Chapel Hill (Sullivan); and the Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm (Sullivan).
Noah BerleyThe Institute for Behavioral Genetics (Border, Johnson, Evans, Smolen, Keller), the Department of Psychology and Neuroscience (Border, Berley, Keller), the Department of Applied Mathematics (Border), and the Department of Ecology and Evolutionary Biology (Evans), University of Colorado Boulder, Boulder; the Department of Psychiatry, Washington University School of Medicine, St. Louis (Johnson); the Department of Genetics and Psychiatry, University of North Carolina at Chapel Hill (Sullivan); and the Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm (Sullivan).
Patrick F SullivanThe Institute for Behavioral Genetics (Border, Johnson, Evans, Smolen, Keller), the Department of Psychology and Neuroscience (Border, Berley, Keller), the Department of Applied Mathematics (Border), and the Department of Ecology and Evolutionary Biology (Evans), University of Colorado Boulder, Boulder; the Department of Psychiatry, Washington University School of Medicine, St. Louis (Johnson); the Department of Genetics and Psychiatry, University of North Carolina at Chapel Hill (Sullivan); and the Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm (Sullivan).
Matthew C KellerThe Institute for Behavioral Genetics (Border, Johnson, Evans, Smolen, Keller), the Department of Psychology and Neuroscience (Border, Berley, Keller), the Department of Applied Mathematics (Border), and the Department of Ecology and Evolutionary Biology (Evans), University of Colorado Boulder, Boulder; the Department of Psychiatry, Washington University School of Medicine, St. Louis (Johnson); the Department of Genetics and Psychiatry, University of North Carolina at Chapel Hill (Sullivan); and the Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm (Sullivan).

Funding

Research Training: Mental Health Behavior GeneticsT32MH016880 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI Naomi P. Friedman, Matthew Charles Keller · 1985 to 2026
$5.3M
Estimating the genetic and environmental architecture of psychiatric disordersR01MH100141 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2013 to 2022
$5.3M
3/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109536 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W, HUCKINS, LAURA MARIANNE · 2016 to 2020
$2.7M
1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
NIMH NIH HHS R01 MH100141NIMH NIH HHS T32 MH016880NIMH NIH HHS U01 MH109528NIMH NIH HHS U01 MH109536
6 · The paper itself

Abstract

objectiveInterest in candidate gene and candidate gene-by-environment interaction hypotheses regarding major depressive disorder remains strong despite controversy surrounding the validity of previous findings. In response to this controversy, the present investigation empirically identified 18 candidate genes for depression that have been studied 10 or more times and examined evidence for their relevance to depression phenotypes.

methodsUtilizing data from large population-based and case-control samples (Ns ranging from 62,138 to 443,264 across subsamples), the authors conducted a series of preregistered analyses examining candidate gene polymorphism main effects, polymorphism-by-environment interactions, and gene-level effects across a number of operational definitions of depression (e.g., lifetime diagnosis, current severity, episode recurrence) and environmental moderators (e.g., sexual or physical abuse during childhood, socioeconomic adversity).

resultsNo clear evidence was found for any candidate gene polymorphism associations with depression phenotypes or any polymorphism-by-environment moderator effects. As a set, depression candidate genes were no more associated with depression phenotypes than noncandidate genes. The authors demonstrate that phenotypic measurement error is unlikely to account for these null findings.

conclusionsThe study results do not support previous depression candidate gene findings, in which large genetic effects are frequently reported in samples orders of magnitude smaller than those examined here. Instead, the results suggest that early hypotheses about depression candidate genes were incorrect and that the large number of associations reported in the depression candidate gene literature are likely to be false positives.

Indexed as

Adverse Childhood ExperiencesGene-Environment InteractionPsychological TraumaSocioeconomic FactorsGenetic Association StudiesHumansMajor Depressive DisorderPhenotypePolymorphism, GeneticRecurrenceReproducibility of ResultsSeverity of Illness IndexBiological MarkersGeneticsMood Disorders-UnipolarStress

Identifiers

PMID30845820
PMCPMC6548317

What OpenQuestion holds

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Registered trials

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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.