Evidence map›Paper›PMID 24733456›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2014

Molecular network analysis enhances understanding of the biology of mental disorders.

Kay S Grennan, Chao Chen, Elliot S Gershon, Chunyu Liu

Erratum issuedAbstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Journal of biosciences · 2022
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Ethical and public policy challenges for pharmacogenomics.Dialogues in clinical neuroscience · 2014
    Review
  9. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors.

Kay S GrennanDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA.
Chao Chen
Elliot S Gershon
Chunyu Liu

Funding

Modeling the temporal succession of phenotypes & environnnental cuesP50MH094267 · NIMH · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2011 to 2015
$10.2M
Genetic variants affect brain gene expression and risks of psychiatric disordersU01MH103340 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU, RZHETSKY, ANDREY · 2014 to 2017
$4.3M
The Bipolar Genome StudyR01MH094483 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CRAIG, DAVID W, EDENBERG, HOWARD J · 2012 to 2014
$2.2M
Integrating epigenomic maps to predict regulatory functions of genetic variantsR01ES024988 · NIEHS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIU, CHUNYU · 2014 to 2015
$625k
Somatic Mutations in Brain in Alzheimer's DiseaseR21AG045789 · NIA · UNIVERSITY OF CHICAGO · PI FAULKNER, GEOFFREY JOHN, GERSHON, ELLIOT S · 2014 to 2015
$487k
NIA NIH HHS R21 AG045789NIEHS NIH HHS R01 ES024988NIMH NIH HHS 1R01MH094483-01A1NIMH NIH HHS P50MH94267NIMH NIH HHS U01 MH103340
6 · The paper itself

Abstract

We provide an introduction to network theory, evidence to support a connection between molecular network structure and neuropsychiatric disease, and examples of how network approaches can expand our knowledge of the molecular bases of these diseases. Without systematic methods to derive their biological meanings and inter-relatedness, the many molecular changes associated with neuropsychiatric disease, including genetic variants, gene expression changes, and protein differences, present an impenetrably complex set of findings. Network approaches can potentially help integrate and reconcile these findings, as well as provide new insights into the molecular architecture of neuropsychiatric diseases. Network approaches to neuropsychiatric disease are still in their infancy, and we discuss what might be done to improve their prospects.

Indexed as

Gene Regulatory NetworksHumansMental DisordersPhenotypemental disordersmolecular networksneuropsychiatric diseasesystems biology

Identifiers

PMID24733456
PMCPMC4300946

What OpenQuestion holds

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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.