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Carcinogenesis
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Carcinogenesis
Article . 2008 . Peer-reviewed
Data sources: Crossref
Carcinogenesis
Article . 2008
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Association of single-nucleotide polymorphisms in the cell cycle genes with breast cancer in the British population

Authors: Kristy Driver; Alison M. Dunning; Paul D.P. Pharoah; Jonathan Tyrer; Bruce A.J. Ponder; Fabienne Lesueur; Douglas F. Easton; +3 Authors

Association of single-nucleotide polymorphisms in the cell cycle genes with breast cancer in the British population

Abstract

Using a large-scale case-control study, we examined whether common single-nucleotide polymorphisms (SNPs) within 13 genes involved in the cell cycle pathway are associated with breast cancer risk. Seventy-nine tag SNPs were used to evaluate 240 common SNPs found in the genes: CCND1, CCND2, CCND3, CCNE1, CDK2, CDK4, CDK6, CDKN1A, CDKNIB, CDKN2A/CDKN2B, CDKN2C and CDKN2D. These were genotyped in 2270 cases and 2280 controls from the Studies in Epidemiology and Risks of Cancer Heredity (SEARCH) study. Tag SNPs showing evidence of statistically significant differences between cases and controls (P < 0.1) were genotyped in a further 2200 cases and 2280 controls from the same population. This approach found evidence for breast cancer-associated SNPs in four of the cell cycle genes: the cyclin CCNE1 rs997669 had an odds ratio (OR) (GG/AA) of 1.18 [95% confidence interval (95% CI) 1.04-1.34] P = 0.003 and the cyclin-dependent kinase inhibitors-CDKN1A rs3176336: OR (TT/AA) = 1.25 (95% CI 1.11-1.42) P = 0.0026; CDKN1B rs34330: OR (TT/CC) = 1.22 (95% CI 1.02-1.47) P = 0.013 and the region of CDKN2A/2B rs3731239: OR (CC/TT) = 0.90 (95% CI 0.79-1.03) P = 0.013 and rs3218005 OR (GG/AA) = 1.55 (95% CI 1.02-2.37) P = 0.013 (P-values unadjusted for multiple testing). We were able to exclude the D-type cyclins, cyclin-dependent kinases, CDKN2C and CDKN2D from having any significantly associated risk with breast cancer in our study population. The combined effects of the cell cycle genes considered here provide evidence for a significant association with breast cancer risk in a global test (P-heterogeneity = 0.010, P-trend = 0.048). Further large-scale studies are needed to confirm these results.

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Keywords

Adult, Risk, Genotype, Cell Cycle, Breast Neoplasms, Middle Aged, Models, Biological, Polymorphism, Single Nucleotide, United Kingdom, Gene Expression Regulation, Neoplastic, Odds Ratio, Humans, Female, Genetic Predisposition to Disease, Aged

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    74
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
74
Top 10%
Top 10%
Top 10%
bronze
Related to Research communities
Cancer Research