Human Genome Epidemiology (HuGE) Review 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

نویسندگان

  • Issa J. Dahabreh
  • Christopher H. Schmid
  • Joseph Lau
  • Vasileia Varvarigou
  • Samuel Murray
  • Thomas A. Trikalinos
چکیده

s. BMCMed Inform Decis Mak. 2007;7:17.23. Hainaut P, Hernandez T, Robinson A, et al. IARC database ofp53 gene mutations in human tumors and cell lines: updated compilation, revised formats and new visualisation tools.Nucleic Acids Res. 1998;26(1):205–213. 24. Hainaut P, Soussi T, Shomer B, et al. Database of p53 genesomatic mutations in human tumors and cell lines: updatedcompilation and future prospects. Nucleic Acids Res. 1997; 25(1):151–157.25. Hamroun D, Kato S, Ishioka C, et al. The UMD TP53 database and website: update and revisions. Hum Mutat.2006;27(1):14–20.26. Beroud C, Soussi T. The UMD-p53 database: new mutations and analysis tools. Hum Mutat. 2003;21(3):176–181.27. Zou G, Zhao H. The impacts of errors in individual genotyping and DNA pooling on association studies. GenetEpidemiol. 2004;26(1):1–10.28. Jawaid A, Sham P. Impact and quantification of the sources of error in DNA pooling designs. Ann Hum Genet. 2009;73(1):118–124. 29. Smith TC, Spiegelhalter DJ, Thomas A. Bayesian approachesto random effects meta analysis: a comparative study. StatMed. 1995;14(24):2685–2699. 30. Gelman A, Hill J. Multilevel generalized linear models. In: Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge, United Kingdom: Cambridge University Press; 2007:325–342.31. Spiegelhalter D, Abrams K, Myles J. Evidence synthesis. In: Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Chichester, United Kingdom: John Wiley & SonsLtd; 2004:267–303. 32. Turner RM, Omar RZ, Yang M, et al. A multilevel modelframework for meta-analysis of clinical trials with binary outcomes. Stat Med. 2000;19(24):3417–3432.33. DerSimonian R, Laird N. Meta-analysis in clinical trials.Control Clin Trials. 1986;7(3):177–188. 34. Higgins J, Thompson SG, Spiegelhalter DJ. A re-evaluation ofrandom-effects meta-analysis. J R Stat Soc Ser A Stat Soc. 2009;172(1):137–159.1324 Dahabreh et al. Am J Epidemiol. 2013;177(12):1317–1325 35. Cochran W. The combination of estimates fromdifferent experiments. Biometrics. 1954;10(1):101–129. 36. Higgins JP, Thompson SG. Quantifying heterogeneity in ameta-analysis. Stat Med. 2002;21(11):1539–1558. 37. Thompson SG, Higgins JP. How should meta-regressionanalyses be undertaken and interpreted? Stat Med. 2002;21(11):1559–1573. 38. Knapp G, Hartung J. Improved tests for a random effects meta-regression with a single covariate. Stat Med. 2003;22(17):2693–2710. 39. Harbord RM, Egger M, Sterne JA. A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints. Stat Med. 2006;25(20):3443–3457.40. Egger M, Davey Smith G, Schneider M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997; 315(7109):629–634.41. Lau J, Ioannidis JP, Terrin N, et al. The case of the misleading funnel plot. BMJ. 2006;333(7568):597–600.42. Mantel N, Haenszel W. Statistical aspects of the analysis ofdata from retrospective studies of disease. J Natl Cancer Inst. 1959;22(4):719–748.43. Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology. 1990;1(1):43–46.44. Nelson HH, Wilkojmen M, Marsit CJ, et al. TP53 mutation,allelism and survival in non-small cell lung cancer. Carcinogenesis. 2005;26(10):1770–1773.45. Papadakis E, Soulitzis N, Spandidos D. Association of p53codon 72 polymorphism with advanced lung cancer: theArg allele is preferentially retained in tumours arising in Arg/ Pro germline heterozygotes. Br J Cancer. 2002;87(9):1013–1018. 46. Furihata M, Takeuchi T, Matsumoto M, et al. p53 mutationarising in Arg72 allele in the tumorigenesis and developmentof carcinoma of the urinary tract. Clin Cancer Res. 2002; 8(5):1192–1195.47. Bonafe M, Ceccarelli C, Farabegoli F, et al. Retention of thep53 codon 72 arginine allele is associated with a reduction of disease-free and overall survival in arginine/prolineheterozygous breast cancer patients. Clin Cancer Res. 2003; 9(13):4860–4864.48. Kawaguchi H, Ohno S, Araki K, et al. p53 polymorphism inhuman papillomavirus-associated esophageal cancer. Cancer Res. 2000;60(11):2753–2755.49. Dai S, Mao C, Jiang L, et al. P53 polymorphism and lung cancer susceptibility: a pooled analysis of 32 case-controlstudies. Hum Genet. 2009;125(5):633–638.50. Matakidou A, Eisen T, Houlston R. TP53 polymorphisms and lung cancer risk: a systematic review and meta analysis.Mutagenesis. 2003;18(4):377–385. 51. Lawlor DA, Harbord RM, Sterne JA, et al. Mendelianrandomization: using genes as instruments for makingcausal inferences in epidemiology. Stat Med. 2008;27(8): 1133–1163.Genotype Misclassification in Studies of TP53 Arg72Pro 1325 Am J Epidemiol. 2013;177(12):1317–1325

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

TP53 Arg72Pro polymorphism and colorectal cancer risk: a systematic review and meta-analysis.

BACKGROUND The TP53 rs1042522 polymorphism (c.215C>G, Arg72Pro) has been extensively investigated as a potential risk factor for colorectal cancer, but the results have thus far been inconclusive. METHODS We searched multiple electronic databases to identify studies investigating the association between the Arg72Pro polymorphism and colorectal cancer. Individual study odds ratios (OR) and the...

متن کامل

The association between the TP53 Arg72Pro polymorphism and colorectal cancer: An updated meta-analysis based on 32 studies

Several previous studies evaluated the association between the Arg72Pro (rs1042522) polymorphism in the TP53 tumor suppressor gene and colorectal cancer (CRC). However, the results are conflicting. This meta-analysis aimed to shed new light on the precise association between TP53 variants and CRC. We analyzed 32 published case-control studies involving 8,586 cases and 10,275 controls using crud...

متن کامل

Frequency of TP53 mutations in relation to Arg72Pro genotypes in non small cell lung cancer.

Mutations in the TP53 gene are important events during human lung carcinogenesis. The TP53 gene harbors several polymorphisms, and functional studies have shown that the Arg72Pro polymorphism alters both wild-type and mutant p53 protein activity. Thus, we hypothesized that certain Arg72Pro genotypes may influence the frequency and pattern of somatic mutations in TP53. We therefore examined the ...

متن کامل

No association between TP53 Arg72Pro polymorphism and ovarian cancer risk: evidence from 10113 subjects

The TP53 gene product is an important regulator of cell growth and a tumor suppressor. The association between TP53 Arg72Pro polymorphism and ovarian cancer risk has been widely investigated, but the results are contradictory. We therefore searched the PubMed, EMBASE and Chinese Biomedical databases for studies on the relation between TP53 Arg72Pro polymorphism and ovarian cancer risk. Our fina...

متن کامل

Genetic Polymorphism of the Glutathione S-Transferase M1 and Development of Breast Cancer

Glutathione S-transferases (GSTs) are encoded by a superfamily of genes and play a role in the detoxification of potential carcinogens. The human GSTs are divided into four classes: alpha, mu, pi and theta. Previous studies indicated that the absence of the Glutathione S-Transferase M1 (GSTM1) protein correlated with an increased risk of developing some types of cancers. Association between spe...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013