Evidence map›Paper›PMID 18179784›Full record

ArticleBiological psychiatry2008

MEGF10 association with schizophrenia.

Xiangning Chen, Xu Wang, Qi Chen, Vernell Williamson, Edwin van den Oord, Brion S Maher, F Anthony O'Neill, Dermot Walsh, Kenneth S Kendler

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In one paragraph

Article in Biological psychiatry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

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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

8 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Xiangning ChenDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA 23298, USA. xchen@vcu.edu
Xu Wang
Qi Chen
Vernell Williamson
Edwin van den Oord
Brion S Maher
F Anthony O'Neill
Dermot Walsh
Kenneth S Kendler
Virginia Commonwealth University · USHealth Research Board · IEQueens University · BD

Funding

THE GENETIC EPIDEMIOLOGY OF SCHIZOPHRENIA IN IRELANDR01MH041953 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 1987 to 2008
$5.2M
NIMH NIH HHS R01 MH041953NIMH NIH HHS R01MH41953
6 · The paper itself

Abstract

backgroundThe 5q21-31 region has been implicated as harboring risk genes for schizophrenia in many linkage studies. In our previous report of stepwise fine mapping of this region, the MEGF10 gene was one of the genes showing consistent associations in our screening subsample. In this study, we carried out independent replication and expression studies of the MEGF10 gene.

methodsAssociation studies with 8 SNPs in the MEGF10 gene were performed in the Irish case-control study of schizophrenia (ICCSS) sample (652 case and 617 control subjects). The expression of MEGF10 was also compared between healthy control subjects and schizophrenia patients using postmortem brain cDNA libraries.

resultsIn the ICCSS sample, associations with the disease were found in the same risk alleles and haplotypes as that observed in our fine-mapping studies. The major allele (A) of rs27388 was overrepresented in affected individuals (p = .0169), which remained significant after correction for multiple testing. In expression studies, MEGF10 had higher expression levels in the affected than the unaffected (p = .015). Schizophrenia patients with a 1/1 genotype at rs27388 had higher expressions than those patients with 1/2 and 2/2 genotypes (p = .0008).

conclusionsEvidence from both association and expression studies suggests that MEGF10 is likely associated with schizophrenia. The major allele and 1/1 genotype at rs27388 impose higher risks for the disease.

Indexed as

GenotypeAllelesBipolar DisorderCase-Control StudiesChromosome MappingChromosomes, Human, Pair 5FemaleGene ExpressionGenetic MarkersGenetic Predisposition to DiseaseGenetics, PopulationGenetic TestingHaplotypesHumansIrelandLinkage DisequilibriumGenetic Markers

Identifiers

PMID18179784
PMCPMC2268016
OpenAlexW2094882350

What OpenQuestion holds

Textmetadata
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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.