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    Keywords: CANCER ; MODEL ; PATHWAY ; PATHWAYS ; ALGORITHM ; RISK ; GENE ; GENES ; SAMPLE ; DNA ; FAMILY ; BIOMARKERS ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; single nucleotide polymorphism ; VARIANTS ; STAGE ; HEALTH ; BRCA1 ; ovarian cancer ; OVARIAN-CANCER ; WOMEN ; MUTATION ; SNP ; cancer risk ; MUTATIONS ; MULTIVARIATE ; UNITED-STATES ; REPLICATION ; VALIDITY ; inflammation ; STATES ; ONCOLOGY ; FAMILIES ; VARIANT ; SINGLE NUCLEOTIDE POLYMORPHISMS ; SNPs ; ARRAY ; METAANALYSIS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; biomarker ; analysis ; HAPLOTYPE ; USA ; CANDIDATE ; cancer research ; CANCER-RISK ; COMMUNITY ; REPAIR GENES ; RATIO ; CONSORTIUM ; NUCLEOTIDE ; STATE ; genetic variants ; COLLABORATIVE ANALYSIS ; HORMONAL FACTORS ; STATES CASE-CONTROL
    Abstract: Over 22,000 cases of ovarian cancer were diagnosed in 2007 in the United States, but only a fraction of them can be attributed to mutations in highly penetrant genes such as BRCA1. To determine whether low-penetrance genetic variants contribute to ovarian cancer risk, we genotyped 1,536 single nucleotide polymorphisms (SNP) in several candidate gene pathways in 848 epithelial ovarian cancer cases and 798 controls in the North Carolina Ovarian Cancer Study (NCO) using a customized Illumina array. The inflammation gene interleukin-18 (IL18) showed the strongest evidence for association with epithelial ovarian cancer in a gene-by-gene analysis (P = 0.002) with a 〈 25% chance of being a false-positive finding (q value = 0.240). Using a multivariate model search algorithm over 11 IL18 tagging SNPs, we found that the association was best modeled by rs1834481. Further, this SNP uniquely tagged a significantly associated IL18 haplotype and there was an increased risk of epithelial ovarian cancer per rs1834481 allele (odds ratio, 1.24; 95% confidence interval, 1.06-1.45). In a replication stage, 12 independent studies from the Ovarian Cancer Association Consortium (OCAC) genotyped rs1834481 in an additional 5,877 cases and 7,791 controls. The fixed effects estimate per rs1834481 allele was null (odds ratio, 0.99; 95% confidence interval, 0.94-1.05) when data from the 12 OCAC studies were combined. The effect estimate remained unchanged with the addition of the initial North Carolina Ovarian Cancer Study data. This analysis shows the importance of consortia, like the OCAC, in either confirming or refuting the validity of putative findings in studies with smaller sample sizes. (Cancer Epidemiol Biomarkers Prev 20081-17(12):3567-72)
    Type of Publication: Journal article published
    PubMed ID: 19064572
    Signatur Availability
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