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A comparison of approaches for association studies of polymorphisms and colorectal cancer risk
Author(s) -
Ramsey S. D.,
Holmes R. S.,
McDermott C. L.,
Blough D. K.,
Petrin K. L.,
Poole E. M.,
Ulrich C. M.
Publication year - 2012
Publication title -
colorectal disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.029
H-Index - 89
eISSN - 1463-1318
pISSN - 1462-8910
DOI - 10.1111/j.1463-1318.2012.03021.x
Subject(s) - medicine , colorectal cancer , meta analysis , publication bias , methylenetetrahydrofolate reductase , relative risk , oncology , genetic association , cancer , confidence interval , allele , single nucleotide polymorphism , genetics , genotype , gene , biology
Abstract Aim  Meta‐analyses have been used to evaluate associations between polymorphisms and colorectal cancer risk, but the quality of individual studies used to inform them may vary substantially. Our aim was to apply well‐established quality‐control criteria to individual association studies and then compare the results of meta‐analyses that included or excluded studies that did not meet these criteria. Method  We used meta‐analyses of studies reporting a relationship between polymorphisms and colorectal cancer published between 1996 and 2008. Polymorphism–cancer associations were derived in separate meta‐analyses including only those meeting the quality‐control criteria. Results  Relative ORs varied substantially between the open and restricted group meta‐analyses for all variants except MTHFR 677 CT. However, the associations were modest and the direction of relative risk did not change after applying criteria. Publication bias was detected for all associations, except the restricted set of studies for GSTP1 GG. Conclusion  We observed variation in calculated relative risk and changes in tests for publication bias that were dependent on the inclusion criteria used for association studies of polymorphisms and colorectal cancer. Standardizing study inclusion criteria may reduce the variation in findings for meta‐analyses of gene‐association studies of common diseases such as colorectal cancer.

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