Evidence map›Paper›PMID 22262733›Full record

ReviewNucleic acids research2012

Comprehensive literature review and statistical considerations for microarray meta-analysis.

George C Tseng, Debashis Ghosh, Eleanor Feingold

Registry-linked trialAbstract readReview
In one paragraph

Review in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03848455 (Multi-chip Meta-analysis of Parkinson's Disease for Clinical Validation of Small Samples of Key Genes in Disease), which is not on this map. Cited by 224 papers, 48 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
224citing papers in PubMed, 48 pooled it
–field-weighted citation impact
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.

NCT03848455 completednot on this mapstarted 2019, after this paper: background citation

Multi-chip Meta-analysis of Parkinson's Disease for Clinical Validation of Small Samples of Key Genes in Disease

TypeobservationalSponsorZhujiang HospitalRan2019 to 2021Enrolled238ConditionsParkinson's DiseaseArmsgenetic diagnosis
3 · Its place in the literature

Who cites it

224 citing papers in PubMed, 48 syntheses or guidelines pooled it.

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  11. Meta-Analysis for Epigenome-Wide Association Studies.Methods in molecular biology (Clifton, N.J.) · 2022
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164 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

3 authors.

George C TsengDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA. ctseng@pitt.edu
Debashis Ghosh
Eleanor Feingold

Funding

Psychosocial Influences on Rural Children's Oral HealthR01DE014899 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FOXMAN, BETSY, MARAZITA, MARY L. · 2002 to 2020
$39.9M
Lung Genomics Research ConsortiumRC2HL101715 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI GERACI, MARK W, KAMINSKI, NAFTALI · 2009 to 2010
$11.4M
TRISOMY 21: RISK FACTORS FOR CHROMOSOME NONDISJUNCTIONR01HD038979 · NICHD · EMORY UNIVERSITY · PI FEINGOLD, ELEANOR, SHERMAN, STEPHANIE L. · 2000 to 2013
$11.2M
Transcriptome analysis in major depressionR01MH077159 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCCLUNG, COLLEEN A, SIBILLE, ETIENNE L · 2007 to 2015
$3.2M
Statistical Methods for the Analysis of Microarray DataR01GM072007 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GHOSH, DEBASHIS · 2004 to 2008
$1.1M
NHLBI NIH HHS RC2HL101715NICHD NIH HHS R01HD38979NIDCR NIH HHS R01 DE014899NIDCR NIH HHS R01DE14899NIGMS NIH HHS R01GM72007NIMH NIH HHS R01MH077159
6 · The paper itself

Abstract

With the rapid advances of various high-throughput technologies, generation of '-omics' data is commonplace in almost every biomedical field. Effective data management and analytical approaches are essential to fully decipher the biological knowledge contained in the tremendous amount of experimental data. Meta-analysis, a set of statistical tools for combining multiple studies of a related hypothesis, has become popular in genomic research. Here, we perform a systematic search from PubMed and manual collection to obtain 620 genomic meta-analysis papers, of which 333 microarray meta-analysis papers are summarized as the basis of this paper and the other 249 GWAS meta-analysis papers are discussed in the next companion paper. The review in the present paper focuses on various biological purposes of microarray meta-analysis, databases and software and related statistical procedures. Statistical considerations of such an analysis are further scrutinized and illustrated by a case study. Finally, several open questions are listed and discussed.

Indexed as

Gene Expression ProfilingMeta-Analysis as TopicOligonucleotide Array Sequence AnalysisDatabases, GeneticData Interpretation, StatisticalSoftware

Identifiers

PMID22262733
PMCPMC3351145

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.