Evidence map›Paper›PMID 22892719›Full record

ArticleTranslational psychiatry2012

Epistasis network centrality analysis yields pathway replication across two GWAS cohorts for bipolar disorder.

A Pandey, N A Davis, B C White, N M Pajewski, J Savitz, W C Drevets, B A McKinney

Open access · goldAbstract readValidation Study
In one paragraph

Article in Translational psychiatry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.0field-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

39 citing papers in PubMed, 65 citations in OpenAlex.

  1. Review
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  10. The genetics of bipolar disorder.Molecular psychiatry · 2020
    Review
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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

7 authors at 2 institutions in 1 country.

A PandeyTandy School of Computer Science, Department of Mathematics, University of Tulsa, Tulsa, OK 74104, USA.
N A Davis
B C White
N M Pajewski
J Savitz
W C Drevets
B A McKinney
University of Tulsa · USWake Forest University · US

Funding

Cytokine Signaling Network Response to Smallpox VaccineK25AI064625 · NIAID · VANDERBILT UNIVERSITY · PI MCKINNEY, BRETT · 2006 to 2010
$534k
Machine Learning Analysis of Genetic Modulators of Vaccine Immune ResponseR56AI080932 · NIAID · UNIVERSITY OF TULSA · PI MCKINNEY, BRETT · 2009 to 2009
$346k
NIAID NIH HHS K25 AI064625NIAID NIH HHS K25 AI-64625NIAID NIH HHS R56 AI080932NIAID NIH HHS R56 AI-80932
6 · The paper itself

Abstract

Most pathway and gene-set enrichment methods prioritize genes by their main effect and do not account for variation due to interactions in the pathway. A portion of the presumed missing heritability in genome-wide association studies (GWAS) may be accounted for through gene-gene interactions and additive genetic variability. In this study, we prioritize genes for pathway enrichment in GWAS of bipolar disorder (BD) by aggregating gene-gene interaction information with main effect associations through a machine learning (evaporative cooling) feature selection and epistasis network centrality analysis. We validate this approach in a two-stage (discovery/replication) pathway analysis of GWAS of BD. The discovery cohort comes from the Wellcome Trust Case Control Consortium (WTCCC) GWAS of BD, and the replication cohort comes from the National Institute of Mental Health (NIMH) GWAS of BD in European Ancestry individuals. Epistasis network centrality yields replicated enrichment of Cadherin signaling pathway, whose genes have been hypothesized to have an important role in BD pathophysiology but have not demonstrated enrichment in previous analysis. Other enriched pathways include Wnt signaling, circadian rhythm pathway, axon guidance and neuroactive ligand-receptor interaction. In addition to pathway enrichment, the collective network approach elevates the importance of ANK3, DGKH and ODZ4 for BD susceptibility in the WTCCC GWAS, despite their weak single-locus effect in the data. These results provide evidence that numerous small interactions among common alleles may contribute to the diathesis for BD and demonstrate the importance of including information from the network of gene-gene interactions as well as main effects when prioritizing genes for pathway analysis.

Indexed as

Epistasis, GeneticGene Regulatory NetworksAlgorithmsArtificial IntelligenceBipolar DisorderCadherinsCohort StudiesGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansLinear ModelsPolymorphism, Single NucleotideCadherins

Identifiers

PMID22892719
PMCPMC3432194
OpenAlexW2145256501

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.