Evidence map›Paper›PMID 25817407›Full record

ArticlePsychological medicine2015

Expression quantitative trait loci (eQTLs) in microRNA genes are enriched for schizophrenia and bipolar disorder association signals.

V S Williamson, M Mamdani, G O McMichael, A H Kim, D Lee, S Bacanu, V I Vladimirov

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychological medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
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 1 institution in 1 country.

V S WilliamsonVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University,VA,USA.
M MamdaniVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University,VA,USA.
G O McMichaelVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University,VA,USA.
A H KimVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University,VA,USA.
D LeeVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University,VA,USA.
S BacanuVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University,VA,USA.
V I VladimirovVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University,VA,USA.
Virginia Commonwealth University · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Research Education in Statistical Genetics of Substance AbuseR25DA026119 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2008 to 2018
$3.2M
Using novel eQTL-based methods to find the molecular causes of alcohol dependencyR21AA022717 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BACANU, SILVIU-ALIN · 2014 to 2015
$382k
Using genetic overlap to dissect the genetic architecture of psychiatric diseasesR21MH100560 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI BACANU, SILVIU-ALIN · 2014 to 2015
$358k
NCATS NIH HHS UL1 TR000448NIAAA NIH HHS AA02271NIAAA NIH HHS R21 AA022717NIDA NIH HHS R25 DA026119NIMH NIH HHS MH100560NIMH NIH HHS R21 MH100560
6 · The paper itself

Abstract

backgroundSchizophrenia (SZ) and bipolar disorder (BD) have substantial negative impact on the quality of human life. Both, microRNA (miRNA) expression profiling in SZ and BD postmortem brains [and genome-wide association studies (GWAS)] have implicated miRNAs in disease etiology. Here, we aim to determine whether significant GWAS signals observed in the Psychiatric Genetic Consortium (PGC) are enriched for miRNAs.

methodA two-stage approach was used to determine whether association signals from PGC affect miRNAs: (i) statistical assessment of enrichment using a Simes test and sum of squares test (SST) and (ii) biological evidence that quantitative trait loci (eQTL) mapping to known miRNA genes affect their expression in an independent sample of 78 postmortem brains from the Stanley Medical Research Institute.

resultsA total of 2567 independent single nucleotide polymorphisms (SNPs) (R2 > 0.8) were mapped locally, within 1 Mb, to all known miRNAs (miRBase v. 21). We show robust enrichment for SZ- and BD-related SNPs with miRNAs using Simes (SZ: p ≤ 0.0023, BD: p ≤ 0.038), which remained significant after adjusting for background inflation in SZ (empirical p = 0.018) and approached significance in BD (empirical p = 0.07). At a false discovery rate of 10%, we identified a total of 32 eQTLs to influence miRNA expression; 11 of these overlapped with BD.

conclusionsOur approach of integrating PGC findings with eQTL results can be used to generate specific hypotheses regarding the role of miRNAs in SZ and BD.

Indexed as

AutopsyBipolar DisorderBrainChromosome MappingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMicroRNAsPolymorphism, GeneticQuantitative Trait LociSchizophreniaMicroRNAsBipolar disordereQTLsGWASmiRNAsschizophrenia

Identifiers

PMID25817407
PMCPMC4845662
OpenAlexW2013106911

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.