Evidence map›Paper›PMID 22817656›Full record

ArticleBMC genomics2012

Genome-wide CNV analysis replicates the association between GSTM1 deletion and bladder cancer: a support for using continuous measurement from SNP-array data.

Gaëlle Marenne, Francisco X Real, Nathaniel Rothman, Benjamin Rodríguez-Santiago, Luis Pérez-Jurado, Manolis Kogevinas, Montse García-Closas, Debra T Silverman, Stephen J Chanock, Emmanuelle Génin and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 30% 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, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Review
  5. Review
  6. Lack of association between glutathione s-transferase mu 1 (Journal of exercise rehabilitation · 2017
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  9. Recurrent amplification of MYC and TNFRSF11B in 8q24 is associated with poor survival in patients with gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2016
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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

11 authors at 7 institutions in 4 countries.

Gaëlle MarenneSpanish National Cancer Research Center (CNIO), Madrid, E-28029, Spain.
Francisco X Real
Nathaniel Rothman
Benjamin Rodríguez-Santiago
Luis Pérez-Jurado
Manolis Kogevinas
Montse García-Closas
Debra T Silverman
Stephen J Chanock
Emmanuelle Génin
Núria Malats
Division of Cancer Epidemiology and GeneticsNational Cancer Institute · USPompeu Fabra University · ESSpanish National Cancer Research Centre · ESCenter for Research in Environmental Epidemiology · ESCentro de Investigación Biomédica en Red · ESDélégation Paris 7 · FR

Funding

Intramural NIH HHS
6 · The paper itself

Abstract

backgroundStructural variations such as copy number variants (CNV) influence the expression of different phenotypic traits. Algorithms to identify CNVs through SNP-array platforms are available. The ability to evaluate well-characterized CNVs such as GSTM1 (1p13.3) deletion provides an important opportunity to assess their performance.

results773 cases and 759 controls from the SBC/EPICURO Study were genotyped in the GSTM1 region using TaqMan, Multiplex Ligation-dependent Probe Amplification (MLPA), and Illumina Infinium 1 M SNP-array platforms. CNV callings provided by TaqMan and MLPA were highly concordant and replicated the association between GSTM1 and bladder cancer. This was not the case when CNVs were called using Illumina 1 M data through available algorithms since no deletion was detected across the study samples. In contrast, when the Log R Ratio (LRR) was used as a continuous measure for the 5 probes contained in this locus, we were able to detect their association with bladder cancer using simple regression models or more sophisticated methods such as the ones implemented in the CNVtools package.

conclusionsThis study highlights an important limitation in the CNV calling from SNP-array data in regions of common aberrations and suggests that there may be added advantage for using LRR as a continuous measure in association tests rather than relying on calling algorithms.

Indexed as

Databases, GeneticGene DeletionGenome-Wide Association StudyCase-Control StudiesDNA Copy Number VariationsGenetic LociGenetic Predisposition to DiseaseGenome, HumanGlutathione TransferaseHumansPolymorphism, Single NucleotideReproducibility of ResultsUrinary Bladder NeoplasmsGlutathione Transferase

Identifiers

PMID22817656
PMCPMC3425254
OpenAlexW2153617454

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.