Evidence map›Paper›PMID 29049554›Full record

ArticleJAMA psychiatry2017

Genetic Association of Major Depression With Atypical Features and Obesity-Related Immunometabolic Dysregulations.

Yuri Milaneschi, Femke Lamers, Wouter J Peyrot, Bernhard T Baune, Gerome Breen, Abbas Dehghan, Andreas J Forstner, Hans J Grabe, Georg Homuth, Carol Kan and 15 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in JAMA psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 7 pooled it
11.7field-weighted citation impact, top 1% 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

101 citing papers in PubMed, 7 syntheses or guidelines pooled it, 241 citations in OpenAlex.

  1. Psychiatric and Cognitive Functioning After Metabolic and Bariatric Surgery: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  11. Polygenic scores in psychiatric research and clinical practice.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  12. Symptom-specific genetics reveal heterogeneity within major depressive disorder.medRxiv : the preprint server for health sciences · 2026
    Article
  13. Article
  14. Obesity and Depression.Advances in experimental medicine and biology · 2026
    Review
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  18. Obesity and Depression: A Pathophysiotoxic Relationship.International journal of molecular sciences · 2025
    Review
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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 16 institutions in 6 countries.

Yuri MilaneschiDepartment of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, the Netherlands.
Femke LamersDepartment of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, the Netherlands.
Wouter J PeyrotDepartment of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, the Netherlands.
Bernhard T BauneDiscipline of Psychiatry, University of Adelaide, Adelaide, Australia.
Gerome BreenMedical Research Council Social Genetic and Developmental Psychiatry Centre, King's College London, London, England.
Abbas DehghanDepartment of Epidemiology and Biostatistics, Imperial College London, London, England.
Andreas J ForstnerInstitute of Human Genetics, University of Bonn, Bonn, Germany.
Hans J GrabeDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Georg HomuthInterfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany.
Carol KanDepartment of Psychological Medicine, King's College London, London, England.
Cathryn LewisMedical Research Council Social Genetic and Developmental Psychiatry Centre, King's College London, London, England.
Niamh MullinsMedical Research Council Social Genetic and Developmental Psychiatry Centre, King's College London, London, England.
Matthias NauckGerman Centre for Cardiovascular Research, Partner Site Greifswald, University Medicine, University Medicine Greifswald, Greifswald, Germany.
Giorgio PistisDepartment of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland.
Martin PreisigDepartment of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland.
Margarita RiveraMedical Research Council Social Genetic and Developmental Psychiatry Centre, King's College London, London, England.
Marcella RietschelDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Fabian StreitDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Jana StrohmaierDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Alexander TeumerInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Sandra Van der AuweraDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Naomi R WrayInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Dorret I BoomsmaDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, the Netherlands.
Brenda W J H PenninxDepartment of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, the Netherlands.
CHARGE Inflammation Working Group and the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Universitätsmedizin Greifswald · DEGGZ inGeest · NLMedical Research Council · GBHeidelberg University · DEAmsterdam Neuroscience · NLCentre for Mental Health · GBImperial College London · GBKing's College London · GBLife & Brain (Germany) · DEThe University of Adelaide · AUThe University of Queensland · AUUniversität Greifswald · DEUniversity Hospital Heidelberg · DEUniversity Hospital of Lausanne · CHUniversity of Lausanne · CHVrije Universiteit Amsterdam · NL

Funding

2/2 A genome-wide association study to detect genetic variation for schizophreniaR01MH080403 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2008 to 2010
$4.5M
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
Data commons for 'omic, microscopy and analysis core facilitiesS10OD018164 · OD · DUKE UNIVERSITY · PI WRAY, GREGORY A. · 2014 to 2014
$598k
Medical Research Council MR/K026992/1NIH HHS S10 OD018164NIMH NIH HHS R01 MH080403NIMH NIH HHS U01 MH109528NIMH NIH HHS U01 MH109532
6 · The paper itself

Abstract

Importance: The association between major depressive disorder (MDD) and obesity may stem from shared immunometabolic mechanisms particularly evident in MDD with atypical features, characterized by increased appetite and/or weight (A/W) during an active episode. Objective: To determine whether subgroups of patients with MDD stratified according to the A/W criterion had a different degree of genetic overlap with obesity-related traits (body mass index [BMI] and levels of C-reactive protein [CRP] and leptin). Design, Setting, and Patients: This multicenter study assembled genome-wide genotypic and phenotypic measures from 14 data sets of the Psychiatric Genomics Consortium. Data sets were drawn from case-control, cohort, and population-based studies, including 26 628 participants with established psychiatric diagnoses and genome-wide genotype data. Data on BMI were available for 15 237 participants. Data were retrieved and analyzed from September 28, 2015, through May 20, 2017. Main Outcomes and Measures: Lifetime DSM-IV MDD was diagnosed using structured diagnostic instruments. Patients with MDD were stratified into subgroups according to change in the DSM-IV A/W symptoms as decreased or increased. Results: Data included 11 837 participants with MDD and 14 791 control individuals, for a total of 26 628 participants (59.1% female and 40.9% male). Among participants with MDD, 5347 (45.2%) were classified in the decreased A/W and 1871 (15.8%) in the increased A/W subgroups. Common genetic variants explained approximately 10% of the heritability in the 2 subgroups. The increased A/W subgroup showed a strong and positive genetic correlation (SE) with BMI (0.53 [0.15]; P = 6.3 × 10-4), whereas the decreased A/W subgroup showed an inverse correlation (-0.28 [0.14]; P = .06). Furthermore, the decreased A/W subgroup had a higher polygenic risk for increased BMI (odds ratio [OR], 1.18; 95% CI, 1.12-1.25; P = 1.6 × 10-10) and levels of CRP (OR, 1.08; 95% CI, 1.02-1.13; P = 7.3 × 10-3) and leptin (OR, 1.09; 95% CI, 1.06-1.12; P = 1.7 × 10-3). Conclusions and Relevance: The phenotypic associations between atypical depressive symptoms and obesity-related traits may arise from shared pathophysiologic mechanisms in patients with MDD. Development of treatments effectively targeting immunometabolic dysregulations may benefit patients with depression and obesity, both syndromes with important disability.

Indexed as

CravingMajor Depressive DisorderObesityWeight GainAdultBody Mass IndexC-Reactive ProteinDiagnostic and Statistical Manual of Mental DisordersFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInternational CooperationMalePsychiatric Status Rating ScalesC-Reactive Protein

Identifiers

PMID29049554
PMCPMC6396812
OpenAlexW2766503838

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.