Evidence map›Paper›PMID 26213687›Full record

ArticleMolecular neuropsychiatry2015

Molecular and Genetic Characterization of Depression: Overlap with other Psychiatric Disorders and Aging.

Ying Ding, Lun-Ching Chang, Xingbin Wang, Jean-Philippe Guilloux, Jenna Parrish, Hyunjung Oh, Beverly J French, David A Lewis, George C Tseng, Etienne Sibille

Open access · greenAbstract read
In one paragraph

Article in Molecular neuropsychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 pooled it
5.1field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 5 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Challenges and rewards of in vivo synaptic density imaging, and its application to the study of depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. BDNF controls GABANeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Ying DingJoint CMU-Pitt PhD program in Computational Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA ; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Lun-Ching ChangDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Xingbin WangDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA ; Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Jean-Philippe GuillouxUniversité Paris-Sud EA 3544, Faculté de Pharmacie, Châtenay-Malabry cedex F-92296, France.
Jenna ParrishCenter for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15312, USA.
Hyunjung OhCenter for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15312, USA.
Beverly J FrenchDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15312, USA.
David A LewisDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15312, USA ; Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15312, USA.
George C TsengJoint CMU-Pitt PhD program in Computational Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA ; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Etienne SibilleDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15312, USA ; Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15312, USA ; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Departments of Psychiatry, Pharmacology and Toxicology, University of Toronto, Toronto, CA.
Centre for Addiction and Mental Health · CAUniversité Paris-Sud · FRUniversity of Pittsburgh · US

Funding

Subject Management and BiobankingP50DA046346 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PETER L FRANZEN · 2020 to 2026
$23.4M
Project 5: In vivo measurement of GABA transmission in healthy controls & subjectP50MH084053 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEWIS, DAVID A · 2008 to 2012
$11.5M
Transcriptome analysis in major depressionR01MH077159 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCCLUNG, COLLEEN A, SIBILLE, ETIENNE L · 2007 to 2015
$3.2M
Molecular Aging of the Human Brain: Genetic Modulation and Functional OutcomesR01MH093723 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2011 to 2015
$2.6M
Molecular characterization of a corticolimbic network in depressionK02MH084060 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2009 to 2013
$589k
Modeling Core Behavioral, Neuroendocrine and Molecular Features of DepressionR21MH085111 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2009 to 2010
$417k
Integrative Analysis of Transcriptome, Genome and Disease Diversity in MDDR21MH094862 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L, TSENG, GEORGE C. · 2012 to 2013
$371k
NIDA NIH HHS P50 DA046346NIMH NIH HHS K02 MH084060NIMH NIH HHS P50 MH084053NIMH NIH HHS R01 MH077159NIMH NIH HHS R01 MH093723NIMH NIH HHS R21 MH085111NIMH NIH HHS R21 MH094862
6 · The paper itself

Abstract

Genome-wide expression and genotyping technologies have uncovered the genetic bases of complex diseases at unprecedented rates; However despite its heavy burden and high prevalence, the molecular characterization of major depressive disorder (MDD) has lagged behind. Transcriptome studies report multiple brain disturbances but are limited by small sample sizes. Genome-wide association studies (GWAS) report weak results but suggest overlapping genetic risk with other neuropsychiatric disorders. We performed systematic molecular characterization of altered brain function in MDD, using meta-analysis of differential expression in eight gene array studies in three corticolimbic brain regions in 101 subjects. The identified "metaA-MDD" genes suggest altered neurotrophic support, brain plasticity and neuronal signaling in MDD. Notably, metaA-MDD genes display low connectivity and hubness in coexpression networks, and uniform genomic distribution, consistent with diffuse polygenic mechanisms. We next integrated these findings with results from over 1800 published GWAS and show that genetic variations nearby metaA-MDD genes predict greater risk for neuropsychiatric disorders and notably for age-related phenotypes, but not for other medical illnesses, including those frequently co-morbid with depression, or body characteristics. Collectively, the intersection of unbiased investigations of gene function (transcriptome) and structure (GWAS) provides novel leads to investigate molecular mechanisms of MDD and suggest common biological pathways between depression, other neuropsychiatric diseases, and brain aging.

Indexed as

Depressiongenetic associationmedical illnessesmeta-analysistranscriptome

Identifiers

PMID26213687
PMCPMC4512183
OpenAlexW2007438283

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.