Evidence map›Paper›PMID 29495898›Full record

ArticleThe American journal of psychiatry2018

Molecular Genetic Analysis Subdivided by Adversity Exposure Suggests Etiologic Heterogeneity in Major Depression.

Roseann E Peterson, Na Cai, Andy W Dahl, Tim B Bigdeli, Alexis C Edwards, Bradley T Webb, Silviu-Alin Bacanu, Noah Zaitlen, Jonathan Flint, Kenneth S Kendler

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
9.6field-weighted citation impact, top 2% of its field
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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Pooled it
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  4. Context-specific genetic effects inform endotypes and treatment in asthma.The Journal of allergy and clinical immunology · 2026
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  5. Choice of phenotype scale is critical in biobank-based G×E tests.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Roseann E PetersonFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Na CaiFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Andy W DahlFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Tim B BigdeliFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Alexis C EdwardsFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Bradley T WebbFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Silviu-Alin BacanuFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Noah ZaitlenFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Jonathan FlintFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Kenneth S KendlerFrom the Virginia Institute for Psychiatric and Behavioral Genetics and the Department of Psychiatry, Virginia Commonwealth University, Richmond, Va.; the Wellcome Trust Sanger Institute, Cambridge, U.K.; the European Bioinformatics Institute (EMBL-EBI), Cambridge, U.K.; the Department of Medicine, University of California, San Francisco; the State University of New York Downstate Medical Center, Brooklyn, N.Y.; and the Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.

Funding

Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
The Molecular Genetics of Recurrent Major Depression in Chinese WomenR01MH100549 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2013 to 2015
$2.0M
Richer Models of Asthma Risk: Bridging the Environment-Genetics DivideK25HL121295 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZAITLEN, NOAH A · 2014 to 2018
$784k
Genetic influences on developmental heterogeneity of alcohol use disorderK01AA021399 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EDWARDS, ALEXIS C · 2012 to 2016
$707k
Using novel eQTL-based methods to find the molecular causes of alcohol dependencyR21AA022717 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BACANU, SILVIU-ALIN · 2014 to 2015
$382k
Using genetic overlap to dissect the genetic architecture of psychiatric diseasesR21MH100560 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI BACANU, SILVIU-ALIN · 2014 to 2015
$358k
NHGRI NIH HHS R01 HG006399NHLBI NIH HHS K25 HL121295NIAAA NIH HHS K01 AA021399NIAAA NIH HHS R21 AA022717NIMH NIH HHS R01 MH100549NIMH NIH HHS R21 MH100560NIMH NIH HHS T32 MH020030Wellcome TrustWellcome Trust WT083573/Z/07 /ZWellcome Trust WT089269/Z/09/ZWellcome Trust WT090532/Z/09/Z
6 · The paper itself

Abstract

objectiveThe extent to which major depression is the outcome of a single biological mechanism or represents a final common pathway of multiple disease processes remains uncertain. Genetic approaches can potentially identify etiologic heterogeneity in major depression by classifying patients on the basis of their experience of major adverse events.

methodData are from the China, Oxford, and VCU Experimental Research on Genetic Epidemiology (CONVERGE) project, a study of Han Chinese women with recurrent major depression aimed at identifying genetic risk factors for major depression in a rigorously ascertained cohort carefully assessed for key environmental risk factors (N=9,599). To detect etiologic heterogeneity, genome-wide association studies, heritability analyses, and gene-by-environment interaction analyses were performed.

resultsGenome-wide association studies stratified by exposure to adversity revealed three novel loci associated with major depression only in study participants with no history of adversity. Significant gene-by-environment interactions were seen between adversity and genotype at all three loci, and 13.2% of major depression liability can be attributed to genome-wide interaction with adversity exposure. The genetic risk in major depression for participants who reported major adverse life events (27%) was partially shared with that in participants who did not (73%; genetic correlation=+0.64). Together with results from simulation studies, these findings suggest etiologic heterogeneity within major depression as a function of environmental exposures.

conclusionsThe genetic contributions to major depression may differ between women with and those without major adverse life events. These results have implications for the molecular dissection of major depression and other complex psychiatric and biomedical diseases.

Indexed as

AdultAdult Survivors of Child AbuseAdult Survivors of Child Adverse EventsChinaFemaleGenetic Association StudiesGenome-Wide Association StudyHumansLinkage DisequilibriumLogistic ModelsMajor Depressive DisorderMiddle AgedMultifactorial InheritancePolymorphism, Single NucleotideRisk FactorsDiagnosis and ClassificationGeneticsMood Disorders-Unipolar

Identifiers

PMID29495898
PMCPMC5988935
OpenAlexW2791205736

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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.