Literature DB >> 28674227

A systematic analysis of the association studies between CASP8 D302H polymorphisms and breast cancer risk.

Yinliang Zhang1, Wei Li, Yi Hong, Guoying Wu, Kan He, Dahai Liu.   

Abstract

Caspase 8 (CASP8) is a regulator of apoptosis, whose genetic variation has been reported to be associated with the risk of various cancers. Especially, the single-nucleotide polymorphism (SNP) rs1045485, which generates the substitution D302H in CASP8, is likely to be associated with breast cancer. Several previous studies have reported the association of CASP8 D302H polymorphism with breast cancer; however, the results are inconsistent. To validate the association between CASP8 D302H polymorphism and breast cancer risk, we performed an updated meta-analysis of 18 studies including 27,807 cases and 32,332 controls. We tested the overall association between this SNP and breast cancer susceptibility and stratified subgroups based on countries where cases are from. We confirmed a significant correlation between CASP8 D302H polymorphism and the reduced breast cancer susceptibility in population from UK, Germany and Poland, but no significant association was observed in other countries, such as Finland or USA. Our findings indicate the relationship of SNP CASP8 D302H and breast cancer would not be universal but only be sensitive in some particular European countries. The genetic difference for diverse countries may be useful in individual and precision medicine or health.

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Year:  2017        PMID: 28674227     DOI: 10.1007/s12041-017-0774-y

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  24 in total

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Journal:  J Natl Cancer Inst       Date:  2005-07-06       Impact factor: 13.506

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-10       Impact factor: 4.254

5.  Interactions between genetic variants and breast cancer risk factors in the breast and prostate cancer cohort consortium.

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Journal:  Breast Cancer Res Treat       Date:  2009-07-24       Impact factor: 4.872

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-10-20       Impact factor: 4.254

10.  An empirical comparison of meta-analyses of published gene-disease associations versus consortium analyses.

Authors:  A Cecile J W Janssens; Angela M González-Zuloeta Ladd; Sandra López-Léon; John P A Ioannidis; Ben A Oostra; Muin J Khoury; Cornelia M van Duijn
Journal:  Genet Med       Date:  2009-03       Impact factor: 8.822

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  3 in total

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Journal:  J Cancer       Date:  2018-10-18       Impact factor: 4.207

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Authors:  Shiqin Liu; Fernando Garcia-Marques; Chiyuan Amy Zhang; Jordan John Lee; Rosalie Nolley; Michelle Shen; En-Chi Hsu; Merve Aslan; Kashyap Koul; Sharon J Pitteri; James D Brooks; Tanya Stoyanova
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

3.  Prevalence of cancer susceptibility variants in patients with multiple Lynch syndrome related cancers.

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Journal:  Sci Rep       Date:  2021-07-20       Impact factor: 4.379

  3 in total

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