4.8 Article

Tagging single nucleotide polymorphisms in cell cycle control genes and susceptibility to invasive epithelial ovarian cancer

Journal

CANCER RESEARCH
Volume 67, Issue 7, Pages 3027-3035

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-06-3261

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Funding

  1. Intramural NIH HHS Funding Source: Medline
  2. NCI NIH HHS [CA17054, CA14089, CA61132, CA63464, CA71766, CA16056, R01CA095023, N01-PC-67010, K07-CA80668, R03-CA113148] Funding Source: Medline

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High-risk susceptibility genes explain < 40% of the excess risk of familial ovarian cancer. Therefore, other ovarian cancer susceptibility genes are likely to exist. We have used a single nucleotide polymorphism (SNP)-tagging approach to evaluate common variants in 13 genes involved in cell cycle control-CCATD1, CCAV2. CCN7D3, CCAE1, CDK2, CDK4, CDK6, CDKN1A, CDKN1B, CDKN24. CDKN2B, CDKN2C, and CDKN2D-and risk of invasive epithelial ovarian cancer. We used a two-stage, multicenter, case-control study. In stage 1, 88 SNPs that tag common variation in these genes were genotped in three studies from the United Kingdom, United States, and Denmark (similar to 1,500 cases and 2,500 controls). Genotype frequencies in cases and controls were compared using logistic regression. In stage 2, eight other studies from Australia, Poland, and the United States (similar to 2,000 cases and similar to 3,200 controls) were genotyped for the five most significant SNPs from stage 1. No SNP was significant in the stage 2 data alone. Using the combined stages 1 and 2 data set, CDKN2A rs3731257 and CDKN1B rs2066827 were associated with disease risk (unadjusted P trend = 0.008 and 0.036, respectively), but these were not significant after adjusting for multiple testing. Carrying the minor allele of these SNPs was found to be associated with reduced risk OR, 0.91 (0.85-0.98) for rs3731257; and OR, 0.93 (0.87-0.995) for rs20668271. In conclusion, we have found evidence that a single tagged SNP in both the CDKN2A and CDKN1B genes may be associated with reduced ovarian cancer risk. This study highlights the need for multicenter collaborations for genetic association studies.

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