Evidence map›Paper›PMID 22155586›Full record

ReviewBriefings in functional genomics2011

An integrative functional genomics approach for discovering biomarkers in schizophrenia.

Marquis P Vawter, Firoza Mamdani, Fabio Macciardi

Open access · bronzeAbstract readReview
In one paragraph

Review in Briefings in functional genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-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

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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Mapping miRNA Research in Schizophrenia: A Scientometric Review.International journal of molecular sciences · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

3 authors at 1 institution in 1 country.

Marquis P VawterFunctional Genomics Laboratory, Department of Psychiatry, University of California, Irvine, USA. mvawter@uci.edu
Firoza Mamdani
Fabio Macciardi
University of California, Irvine · US

Funding

Mitochondrial Dysfunction In SchizophreniaR01MH085801 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI VAWTER, MARQUIS PHILIP · 2009 to 2020
$5.0M
NIMH NIH HHS R01 MH085801NIMH NIH HHS R01MH085801
6 · The paper itself

Abstract

Schizophrenia (SZ) is a complex disorder resulting from both genetic and environmental causes with a lifetime prevalence world-wide of 1%; however, there are no specific, sensitive and validated biomarkers for SZ. A general unifying hypothesis has been put forward that disease-associated single nucleotide polymorphisms (SNPs) from genome-wide association study (GWAS) are more likely to be associated with gene expression quantitative trait loci (eQTL). We will describe this hypothesis and review primary methodology with refinements for testing this paradigmatic approach in SZ. We will describe biomarker studies of SZ and testing enrichment of SNPs that are associated both with eQTLs and existing GWAS of SZ. SZ-associated SNPs that overlap with eQTLs can be placed into gene-gene expression, protein-protein and protein-DNA interaction networks. Further, those networks can be tested by reducing/silencing the gene expression levels of critical nodes. We present pilot data to support these methods of investigation such as the use of eQTLs to annotate GWASs of SZ, which could be applied to the field of biomarker discovery. Those networks that have association with SNP markers, especially cis-regulated expression, might lead to a more clear understanding of important candidate genes that predispose to disease and alter expression. This method has general application to many complex disorders.

Indexed as

Genome, HumanBiomarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPolymorphism, Single NucleotideQuantitative Trait LociSchizophreniaBiomarkers

Identifiers

PMID22155586
PMCPMC3277082
OpenAlexW2121273840

What OpenQuestion holds

Textmetadata
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.