Evidence map›Paper›PMID 25720351›Full record

SynthesisAutism research : official journal of the International Society for Autism Research2015

Meta-Analysis of Gene Expression in Autism Spectrum Disorder.

Carolyn Ch'ng, Willie Kwok, Sanja Rogic, Paul Pavlidis

Open access · greenAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Autism research : official journal of the International Society for Autism Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 5 pooled it
3.8field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 5 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  4. Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Pooled it
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  15. Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2019
    Article
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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

4 authors at 2 institutions in 2 countries.

Carolyn Ch'ngGraduate Program in Bioinformatics, University of British Columbia, Vancouver, Canada, V6T 1Z4 (C.C.).
Willie KwokCenter for High Throughput Biology, University of British Columbia, Vancouver, Canada, V6T 1Z4 (C.C., W.K., S.R., P.P.).
Sanja RogicCenter for High Throughput Biology, University of British Columbia, Vancouver, Canada, V6T 1Z4 (C.C., W.K., S.R., P.P.).
Paul PavlidisCenter for High Throughput Biology, University of British Columbia, Vancouver, Canada, V6T 1Z4 (C.C., W.K., S.R., P.P.).
High Throughput Biology (United States) · USUniversity of British Columbia · CA

Funding

Neuroinformatics for gene expression: networks, function and meta-analysisR01MH111099 · NIMH · UNIVERSITY OF BRITISH COLUMBIA · PI PAVLIDIS, PAUL · 2016 to 2025
$3.6M
Neuroinformatics for gene expression: networks, function and meta-analysisR01GM076990 · NIGMS · UNIVERSITY OF BRITISH COLUMBIA · PI BIROL, INANC, PAVLIDIS, PAUL · 2005 to 2014
$2.0M
Canadian Institutes of Health ResearchNIGMS NIH HHS GM076990NIGMS NIH HHS R01 GM076990NIMH NIH HHS R01 MH111099
6 · The paper itself

Abstract

Autism spectrum disorders (ASD) are clinically heterogeneous and biologically complex. In general it remains unclear, what biological factors lead to changes in the brains of autistic individuals. A considerable number of transcriptome analyses have been performed in attempts to address this question, but their findings lack a clear consensus. As a result, each of these individual studies has not led to any significant advance in understanding the autistic phenotype as a whole. Here, we report a meta-analysis of more than 1000 microarrays across twelve independent studies on expression changes in ASD compared to unaffected individuals, in both blood and brain tissues. We identified a number of known and novel genes that are consistently differentially expressed across three studies of the brain (71 samples in total). A subset of the highly ranked genes is suggestive of effects on mitochondrial function. In blood, consistent changes were more difficult to identify, despite individual studies tending to exhibit larger effects than the brain studies. Our results are the strongest evidence to date of a common transcriptome signature in the brains of individuals with ASD.

Indexed as

Autism Spectrum DisorderGene ExpressionHumansMicroarray Analysisgene expressionmeta-analysismicroarraymolecular genetics

Identifiers

PMID25720351
PMCPMC4933311
OpenAlexW2116117183

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.