Evidence map›Paper›PMID 31926635›Full record

SynthesisBiological psychiatry2020

The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls.

Jonathan R I Coleman, Héléna A Gaspar, Julien Bryois, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Gerome Breen

Abstract readMeta-Analysis
In one paragraph

Synthesis in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 3 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

118 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. Astrocytic abnormalities in brain-specificChannels (Austin, Tex.) · 2025
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58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jonathan R I ColemanSocial, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, King's College London, London, United Kingdom.
Héléna A GasparSocial, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, King's College London, London, United Kingdom.
Julien BryoisDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Bipolar Disorder Working Group of the Psychiatric Genomics Consortium
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Gerome BreenSocial, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, King's College London, London, United Kingdom. Electronic address: gerome.breen@kcl.ac.uk.

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
Identification of Genes Involved in Major Mood DisordersZIAMH002843 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$24.5M
Genomic Psychiatry CohortR01MH085548 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PATO, CARLOS N, PATO, MICHELE T · 2008 to 2012
$16.3M
International Cohort Collection for Bipolar DisorderR01MH085542 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2008 to 2012
$10.7M
A Large-Scale Schizophrenia Association Study in SwedenR01MH077139 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2007 to 2018
$9.9M
Genes contributing to nicotine dependence in humansR01DA017932 · NIDA · DECODE GENETICS, INC. · PI STEFANSSON, KARI · 2005 to 2015
$9.6M
1/2 Genomic Strategies to Identify High-impact Psychiatric Risk VariantsU01MH105578 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B., GESCHWIND, DANIEL H · 2014 to 2018
$8.5M
Latino Ancestry Genomic Psychiatry CohortR01MH123451 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI BIGDELI, TIM BERNARD, FANOUS, AYMAN H · 2020 to 2025
$7.1M
A Neurobehavioral Family Study of SchizophreniaR01MH063480 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2001 to 2018
$6.1M
Genomic Studies of Bipolar Disorder in a Large Cohort from The NetherlandsR01MH090553 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OPHOFF, ROEL A · 2010 to 2014
$6.0M
Genomic Association Study of Bipolar DisorderR01MH078151 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KELSOE, JOHN R. · 2007 to 2009
$5.5M
Pharmacogenomics of Antidepressant ResponseR01MH072802 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAMILTON, STEVEN P. · 2005 to 2008
$4.6M
EPA EP-C-15-001Intramural NIH HHS ZIA MH002843Medical Research Council G0200243Medical Research Council G0701420Medical Research Council G0800509Medical Research Council G0801418Medical Research Council G0901245Medical Research Council G1000708Medical Research Council G1001799Medical Research Council G19/2Medical Research Council MR/N01104X/1Medical Research Council MR/N01104X/2Medical Research Council MR/N015746/1NIAAA NIH HHS R01 AA007535NIAAA NIH HHS R01 AA007728NIAAA NIH HHS R01 AA010249NIAAA NIH HHS R37 AA007728NIA NIH HHS RC2 AG036607NIDA NIH HHS R01 DA017932NIDA NIH HHS R01 DA034076NIMH NIH HHS R01 MH059567NIMH NIH HHS R01 MH061613NIMH NIH HHS R01 MH063480NIMH NIH HHS R01 MH072802NIMH NIH HHS R01 MH077139NIMH NIH HHS R01 MH078151NIMH NIH HHS R01 MH081804NIMH NIH HHS R01 MH085542NIMH NIH HHS R01 MH085548NIMH NIH HHS R01 MH086026NIMH NIH HHS R01 MH090553NIMH NIH HHS R01 MH100549NIMH NIH HHS R01 MH103368NIMH NIH HHS R01 MH106531NIMH NIH HHS R01 MH123451NIMH NIH HHS U01 MH105578NIMH NIH HHS U01 MH105653NIMH NIH HHS U01 MH109514NIMH NIH HHS U01 MH109528NIMH NIH HHS U01 MH109532NIMH NIH HHS U01 MH109536Wellcome TrustWellcome Trust 04036/Z/14/ZWellcome Trust 104036/Z/14/ZWellcome Trust WT083573/Z/07/ZWellcome Trust WT089269/Z/09/ZWellcome Trust WT090532/Z/09/Z
6 · The paper itself

Abstract

backgroundMood disorders (including major depressive disorder and bipolar disorder) affect 10% to 20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Multiple approaches have shown considerable sharing of risk factors across mood disorders despite their diagnostic distinction.

methodsTo clarify the shared molecular genetic basis of major depressive disorder and bipolar disorder and to highlight disorder-specific associations, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; nonoverlapping N = 609,424).

resultsSeventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More loci from the Psychiatric Genomics Consortium analysis of major depression than from that for bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single-episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment-the relationship is positive in bipolar disorder but negative in major depressive disorder.

conclusionsThe mood disorders share several genetic associations, and genetic studies of major depressive disorder and bipolar disorder can be combined effectively to enable the discovery of variants not identified by studying either disorder alone. However, we demonstrate several differences between these disorders. Analyzing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.

Indexed as

Bipolar DisorderMajor Depressive DisorderAnimalsGenome-Wide Association StudyMiceMood DisordersRisk FactorsAffective disordersBipolar disorderGenetic correlationGenome-wide association studyMajor depressive disorderMood disorders

Identifiers

PMID31926635
PMCPMC8136147

What Socratic 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 Socratic graph.