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Erschienen in: Tumor Biology 12/2014

01.12.2014 | Research Article

Association of hOGG1 Ser326Cys polymorphism with colorectal cancer risk: an updated meta-analysis including 5235 cases and 8438 controls

verfasst von: Mingli Zhang, Runyang MO

Erschienen in: Tumor Biology | Ausgabe 12/2014

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Abstract

It has been suggested that hOGG1 Ser326Cys polymorphism may be a risk factor for colorectal cancer. Published data on its association with colorectal cancer generated contradictory results; thus, we performed an updated meta-analysis of eligible published studies to estimate the effect of hOGG1 Ser326Cys polymorphism on colorectal cancer susceptibility. We reviewed many abstracts and finally included 18 eligible case–control studies comprising 5235 cases and 8438 controls. We pooled data with a fixed or random-effect model. Subgroup analysis by ethnicity was also performed. The overall data indicated a significant association of hOGG1 Ser326Cys polymorphism on colorectal cancer risk (allele model OR = 1.14, 95 %CI 1.02–1.27; homozygote model OR = 1.32, 95 %CI 0.92–1.92; recessive model OR = 1.12, 95 %CI 1.00–1.26; dominant model OR = 1.15, 95 %CI 1.00–1.32). Furthermore, in the subgroup analysis by ethnicity, increased cancer risk was observed among Caucasians under the allele, heterogeneity, recessive, and dominant models (allele model OR = 1.23, 95 %CI = 1.05–1.44; homozygote model OR = 1.49, 95%CI 1.05–2.12; recessive model OR = 1.40, 95 %CI 1.16–1.69; dominant model OR = 1.21, 95 %CI = 1.12–1.45). In summary, the present meta-analysis suggested that hOGG1 Ser326Cys polymorphism might modify the susceptibility to colorectal cancer among the total population, especially among Caucasians.
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Metadaten
Titel
Association of hOGG1 Ser326Cys polymorphism with colorectal cancer risk: an updated meta-analysis including 5235 cases and 8438 controls
verfasst von
Mingli Zhang
Runyang MO
Publikationsdatum
01.12.2014
Verlag
Springer Netherlands
Erschienen in
Tumor Biology / Ausgabe 12/2014
Print ISSN: 1010-4283
Elektronische ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-014-2586-5

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