Evidence map›Paper›PMID 23729685›Full record

SynthesisAmerican journal of epidemiology2013

Genotype misclassification in genetic association studies of the rs1042522 TP53 (Arg72Pro) polymorphism: a systematic review of studies of breast, lung, colorectal, ovarian, and endometrial cancer.

Issa J Dahabreh, Christopher H Schmid, Joseph Lau, Vasileia Varvarigou, Samuel Murray, Thomas A Trikalinos

Abstract readSystematic Review
In one paragraph

Synthesis in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 5 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.

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

30 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Association Between theFrontiers in genetics · 2022
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Association between FAS 1377G>A polymorphism and breast cancer susceptibility: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  5. The association of SIPA1 gene polymorphisms with breast cancer risk: evidence from published studies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Investigation of Associations betweenDiagnostics (Basel, Switzerland) · 2021
    Article
  12. Article
  13. Association of theJournal of Cancer · 2019
    Article
  14. Oncology letters · 2018
    Review
  15. Oncology letters · 2018
    Article
  16. Article
  17. Article
  18. TP53 p.R72P genotype is a marker of poor prognosis in lung cancer.Cancer biomarkers : section A of Disease markers · 2018
    Article
  19. Article
  20. TheAging · 2017
    Article
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

6 authors.

Issa J DahabrehCenter for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA. issa_dahabreh@brown.edu
Christopher H Schmid
Joseph Lau
Vasileia Varvarigou
Samuel Murray
Thomas A Trikalinos

Funding

TUFTS CLINICAL AND TRANSLATION SCIENCE INSTITUTE (UL1): BPCAUL1RR025752 · NCRR · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2008 to 2011
$17.6M
NCRR NIH HHS UL1 RR025752
6 · The paper itself

Abstract

Preferential loss of heterozygosity at the rs1042522 locus of the tumor protein 53 gene (TP53) (Arg72Pro) is observed in several tumors. Genetic association studies in oncology often use tumor tissue rather than unaffected tissue for genotyping; in such cases, loss of heterozygosity at the TP53 locus could lead to differential misclassification and could bias estimates of association. We searched multiple databases (through March 8, 2011) for studies investigating the association of Arg72Pro with breast, lung, colorectal, ovarian, or endometrial cancer. Meta-analysis was performed with multilevel Bayesian models. Informative priors for the bias effect were derived from a meta-analysis of the same polymorphism in cervical cancer. Of 160 studies (68 breast, 42 lung, 26 colorectal, 16 ovarian, and 8 endometrial cancer), 22 used tumor tissue as the source of genotyping material for cases. Use of tumor tissue versus other sources of genotyping material was associated with an apparent protective effect of the proline allele (relative odds ratio = 0.78, 95% credible interval: 0.70, 0.88). The probability that use of tumor tissue induced bias was estimated to be higher than 99%. Use of tumor tissue as the source of genotyping material for cases is associated with significant bias in the estimate of the genetic effect in cancer genetic association studies.

Indexed as

AllelesBayes TheoremBreast NeoplasmsColorectal NeoplasmsEndometrial NeoplasmsFemaleGenes, p53Genotyping TechniquesHumansLoss of HeterozygosityLung NeoplasmsNeoplasmsOvarian NeoplasmsPolymorphism, GeneticProlineProlineArg72Procancermeta-analysisrs1042522TP53

Identifiers

PMID23729685
PMCPMC3676148

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.