2015
DOI: 10.7314/apjcp.2015.16.6.2263
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Association between the XRCC3 Thr241Met Polymorphism and Risk of Colorectal Cancer: a Meta Analysis of 5,193 Cases and 6,645 Controls

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Cited by 20 publications
(15 citation statements)
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“…Heterogeneity and publication bias are potentially significant problem when interpreting results of a meta-analysis (Jafari-Nedooshan et al, 2017;Namazi et al, 2015;Sadeghiyeh et al, 2017;Yazdi et al, 2017). In this meta-analysis, there was significant between-study heterogeneity for GSTM1 and GSTP1 polymorphisms, which might be due low quality studies such as HWE-violating studies.…”
Section: Discussionmentioning
confidence: 99%
“…Heterogeneity and publication bias are potentially significant problem when interpreting results of a meta-analysis (Jafari-Nedooshan et al, 2017;Namazi et al, 2015;Sadeghiyeh et al, 2017;Yazdi et al, 2017). In this meta-analysis, there was significant between-study heterogeneity for GSTM1 and GSTP1 polymorphisms, which might be due low quality studies such as HWE-violating studies.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, one of the most important goals of the meta-analysis is to identify the source of heterogeneity (56) . Basically, between-studies variability and variability due to sampling error are main sources of heterogeneity in a set of studies in a meta-analysis (19,31,55,56) . The between-study heterogeneity in the current meta-analysis existed in overall under all genetic models and subgroup analyses in Asians.…”
Section: Study Namementioning
confidence: 99%
“…In addition to mutations in hRAD51 metabolism being linked to Fanconi anemia-like disorders, heritable point mutations in hRAD51D, hRAD51C, hXRCC2, and hXRCC3 have become strongly implicated in non-hBRCA2 associated breast, ovarian, and colorectal cancer families (Blanco et al 2014; Clague et al 2011; Meindl et al 2010; Michalska et al 2015; Namazi et al 2015; Osorio et al 2012; Pelttari et al 2015; Thompson et al 2012). Understanding how these mutant alleles negatively impact hRAD51 paralogue function and protein interactions is essential for both determining how the hRAD51 paralogues normally function and how alterations in their normal biology can lead to cancer development.…”
Section: Links Between Mutations In the Rad51 Regulators Cancer Predmentioning
confidence: 99%