Evidence map›Paper›PMID 17006672›Full record

ArticleHuman genetics2007

Evidence for statistical epistasis between catechol-O-methyltransferase (COMT) and polymorphisms in RGS4, G72 (DAOA), GRM3, and DISC1: influence on risk of schizophrenia.

Kristin K Nicodemus, Bhaskar S Kolachana, Radhakrishna Vakkalanka, Richard E Straub, Ina Giegling, Michael F Egan, Dan Rujescu, Daniel R Weinberger

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Article in Human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 5 pooled it
7.2field-weighted citation impact, top 2% 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

63 citing papers in PubMed, 5 syntheses or guidelines pooled it, 143 citations in OpenAlex.

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  11. Association Analysis Between SNPs in the Promoter Region ofNeuropsychiatric disease and treatment · 2020
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  19. A model to investigate SNPs' interaction in GWAS studies.Journal of neural transmission (Vienna, Austria : 1996) · 2015
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3 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 2 countries.

Kristin K NicodemusClinical Brain Disorders Branch, National Institute of Mental Health, National Institute of Health, Bethesda, MD 20892, USA.
Bhaskar S Kolachana
Radhakrishna Vakkalanka
Richard E Straub
Ina Giegling
Michael F Egan
Dan Rujescu
Daniel R Weinberger
National Institute of Mental Health · USLudwig-Maximilians-Universität München · DENational Institutes of Health · US

Funding

Genetic Basis Of Cortical Malfunction In SchizophreniaZIAMH002734 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BERMAN, KAREN FAITH · 2009 to 2014
$17.5M
GENETIC BASIS OF CORTICAL MALFUNCTION IN SCHIZOPHRENIAZ01MH002734 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI WEINBERGER, DANIEL MARTIN · 1996 to 2008
$8.4M
Characterization of Genetic Mechanisms Contributing to Neuropsychiatric DisorderZIAMH002904 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BERMAN, KAREN FAITH · 2009 to 2012
$8.1M
Genetics and Bioinformatics Core LaboratoryZICMH002908 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI WEINBERGER, DANIEL · 2009 to 2011
$7.8M
Genetics and Bioinformatics Core LaboratoryZ01MH002908 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI WEINBERGER, DANIEL · 2007 to 2008
$3.5M
Biological Characterization of Genetic Mechanisms in Neuropsychiatric DisordersZ01MH002904 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI WEINBERGER, DANIEL · 2007 to 2008
$2.6M
6 · The paper itself

Abstract

Catechol-O-methyltransferase (COMT) regulates dopamine degradation and is located in a genomic region that is deleted in a syndrome associated with psychosis, making it a promising candidate gene for schizophrenia. COMT also has been shown to influence prefrontal cortex processing efficiency. Prefrontal processing dysfunction is a common finding in schizophrenia, and a background of inefficient processing may modulate the effect of other candidate genes. Using the NIMH sibling study (SS), a non-independent case-control set, and an independent German (G) case-control set, we performed conditional/unconditional logistic regression to test for epistasis between SNPs in COMT (rs2097603, Val158Met (rs4680), rs165599) and polymorphisms in other schizophrenia susceptibility genes. Evidence for interaction was evaluated using a likelihood ratio test (LRT) between nested models. SNPs in RGS4, G72, GRM3, and DISC1 showed evidence for significant statistical epistasis with COMT. A striking result was found in RGS4: three of five SNPs showed a significant increase in risk [LRT P-values: 90387 = 0.05 (SS); SNP4 = 0.02 (SS), 0.02 (G); SNP18 = 0.04 (SS), 0.008 (G)] in interaction with COMT; main effects for RGS4 SNPs were null. Significant results for SNP4 and SNP18 were also found in the German study. We were able to detect statistical interaction between COMT and polymorphisms in candidate genes for schizophrenia, many of which had no significant main effect. In addition, we were able to replicate other studies, including allelic directionality. The use of epistatic models may improve replication of psychiatric candidate gene studies.

Indexed as

Epistasis, GeneticPolymorphism, Single NucleotideAdolescentAdultAllelesCarrier ProteinsCase-Control StudiesCatechol O-MethyltransferaseFemaleGenetic Predisposition to DiseaseGenotypeHaplotypesHumansIntracellular Signaling Peptides and ProteinsMaleMiddle AgedCarrier ProteinsCatechol O-MethyltransferaseDAOA protein, humanDISC1 protein, humanIntracellular Signaling Peptides and Proteinsmetabotropic glutamate receptor 3Nerve Tissue ProteinsReceptors, Metabotropic GlutamateRGS4 proteinRGS Proteins

Identifiers

PMID17006672
OpenAlexW2082559397

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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.