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Epithelial ovarian cancer has a major heritable component, but the known susceptibility genes explain less than half the excess familial risk. We performed a genome-wide association study (GWAS) to identify common ovarian cancer susceptibility alleles. We evaluated 507,094 SNPs genotyped in 1,817 cases and 2,353 controls from the UK and ∼2 million imputed SNPs. We genotyped the 22,790 top ranked SNPs in 4,274 cases and 4,809 controls of European ancestry from Europe, USA and Australia. We identified 12 SNPs at 9p22 associated with disease risk (P < 10−8). The most significant SNP (rs3814113; P = 2.5 × 10−17) was genotyped in a further 2,670 ovarian cancer cases and 4,668 controls, confirming its association (combined data odds ratio (OR) = 0.82, 95% confidence interval (CI) 0.79–0.86, Ptrend = 5.1 × 10−19). The association differs by histological subtype, being strongest for serous ovarian cancers (OR 0.77, 95% CI 0.73–0.81, Ptrend = 4.1 × 10−21). [ABSTRACT FROM AUTHOR]

Recent Genome-Wide Association Studies (GWAS) have identified four low-penetrance ovarian cancer susceptibility loci. We hypothesized that further moderate- or low-penetrance variants exist among the subset of single-nucleotide polymorphisms (SNPs) not well tagged by the genotyping arrays used in the previous studies, which would account for some of the remaining risk. We therefore conducted a time- and cost-effective stage 1 GWAS on 342 invasive serous cases and 643 controls genotyped on pooled DNA using the high-density Illumina 1M-Duo array. We followed up 20 of the most significantly associated SNPs, which are not well tagged by the lower density arrays used by the published GWAS, and genotyping them on individual DNA. Most of the top 20 SNPs were clearly validated by individually genotyping the samples used in the pools. However, none of the 20 SNPs replicated when tested for association in a much larger stage 2 set of 4,651 cases and 6,966 controls from the Ovarian Cancer Association Consortium. Given that most of the top 20 SNPs from pooling were validated in the same samples by individual genotyping, the lack of replication is likely to be due to the relatively small sample size in our stage 1 GWAS rather than due to problems with the pooling approach. We conclude that there are unlikely to be any moderate or large effects on ovarian cancer risk untagged by less dense arrays. However, our study lacked power to make clear statements on the existence of hitherto untagged small-effect variants.

Fibroblast growth factor (FGF)-2 (basic) is a potent angiogenic molecule involved in tumor progression, and is one of several growth factors with a central role in ovarian carcinogenesis. We hypothesized that common single nucleotide polymorphisms (SNPs) in the FGF2 gene may alter angiogenic potential and thereby susceptibility to ovarian cancer. We analyzed 25 FGF2 tgSNPs using five independent study populations from the United States and Australia. Analysis was restricted to non-Hispanic White women with serous ovarian carcinoma (1269 cases and 2829 controls). There were no statistically significant associations between any FGF2 SNPs and ovarian cancer risk. There were two nominally statistically significant associations between heterozygosity for two FGF2 SNPs (rs308379 and rs308447; p < .05) and serous ovarian cancer risk in the combined dataset, but rare homozygous estimates did not achieve statistical significance, nor were they consistent with the log additive model of inheritance. Overall genetic variation in FGF2 does not appear to play a role in susceptibility to ovarian cancer.

RAD51D is a homolog of the RAD51 protein, which is known to be an important component of the DNA repair pathway. A rare missense variant in the RAD51D gene, E233G (c.A>G), has been reported to be more prevalent in breast cancer cases from specific multiple-case breast cancer families, with an odds ratio of 2.6 (95% confidence interval (CI): 1.12-6.03). We assessed whether this variant was associated with breast cancer risk using two studies: a population-based case-control-family study based on 1,110 cases and 629 controls, and a clinic-based study based on 390 cases from multiple-case breast cancer families. We conducted case-control analyses and modified segregation analyses of carrier families. The carrier frequencies (95% CI) of the RAD51D variant were 4.1% (2.4-6.6) for clinic-based cases, 3.9% (2.8-5.2) for population-based cases, and 3.7% (2.3-5.4) for population-based controls, and were not significantly higher in case groups than controls (P=0.7 and P=0.8, respectively). After genotyping the relatives of cases who carried the variant, modified segregation analyses of these families were conducted, and the estimated hazard ratio for breast cancer corresponding to the E233G variant was 1.30 (95% CI: 0.66-2.58; P=0.4) for familial breast cancer families and 1.28 (95% CI: 0.47-3.43; P=0.6) for families unselected for family history. Therefore, despite being well powered to detect moderate risks, no evidence for an association between the E233G variant and breast cancer risk was observed in any setting. Larger studies would be required to determine if this variant is associated with a smaller risk of breast cancer.

Association studies aimed at identifying breast cancer susceptibility variants in the progesterone receptor (PGR) gene have been previously reported in the literature with conflicting results, ranging from a protective effect conferred by the PROGINS allele in German Caucasian women, to an increased risk for the leucine variant of the Val660Leu (rs1042838) polymorphism in East Anglian cases. We report the results of genotype and haplotype analyses of five PGR polymorphisms, +44C/T (rs518162), +331G/A (rs10895068), V660L (rs1042838), H770H (rs1042839) and Q886Q (rs500760), conducted on 1,847 Australian breast cancer cases (including 276 cases from a cohort of multiple-case breast cancer families) and 833 controls. Genotype and haplotype analyses of the five polymorphisms showed no evidence of an association with breast cancer (p>0.3). We also conducted a meta-analysis of the V660 L (rs1042838) polymorphism on our and six other published studies including 10,205 cases and 11,320 controls. Compared to the VV homozygotes, VL heterozygotes and LL homozygotes were associated with a non-significant increased risk for breast cancer [Odds ratio (OR)VL, 1.06; 95% confidence intervals (95% CI), 0.97-1.15, ORLL, 1.05; 95% CI, 0.75-1.49]. Analysis of a per-leucine allele risk under a codominant model, however, suggested a significant leucine-allele dose effect, ORper-L, 1.07; 95% CI, 1.02-1.13, p=0.01. We conclude that the leucine allele of the V660L SNP may be associated with a small increase in breast cancer risk, while the other four PGR SNPs, +44C/T (rs518162), +331G/A (rs10895068), H770H (rs1042839) and Q886Q (rs500760), do not substantially increase breast cancer risk.

Data from several studies have suggested that polymorphisms in A-kinase anchoring proteins (AKAPs), which are key components of signal transduction, contribute to carcinogenesis. To evaluate the impact of AKAP variants on breast cancer risk, we genotyped six nonsynonymous single-nucleotide polymorphisms that were predicted to be deleterious and found two (M463I, 1389G>T and N2792S, 8375A>G) to be associated with an allele dose-dependent increase in risk of familial breast cancer in a German population. We extended the analysis of AKAP9 M463I, which is in strong linkage disequilibrium with AKAP9 N2792S, to 9523 breast cancer patients and 13770 healthy control subjects from seven independent European and Australian breast cancer studies. All statistical tests were two-sided. The collaborative analysis confirmed the association of M463I with increased breast cancer risk. Among all breast cancer patients, the combined adjusted odds ratio (OR) of breast cancer for individuals homozygous for the rare allele TT (frequency = 0.19) compared with GG homozygotes was 1.17 (95% confidence interval [CI] = 1.08 to 1.27, P = .0003), and the OR for TT homozygotes plus GT heterozygotes compared with GG homozygotes was 1.10 (95% CI = 1.04 to 1.17, P = .001). Among the combined subset of 2795 familial breast cancer patients, the respective ORs were 1.27 (95% CI = 1.12 to 1.45, P = .0003) and 1.16 (95% CI = 1.06 to 1.27, P = .001).

Although some high-risk ovarian cancer genes have been identified, it is likely that common low penetrance alleles exist that confer some increase in ovarian cancer risk. We have genotyped nine putative functional single-nucleotide polymorphisms (SNP) in genes involved in steroid hormone synthesis (SRD5A2, CYP19A1, HSB17B1, and HSD17B4) and DNA repair (XRCC2, XRCC3, BRCA2, and RAD52) using two Australian ovarian cancer case-control studies, comprising a total of 1,466 cases and 1,821 controls of Caucasian origin. Genotype frequencies in cases and controls were compared using logistic regression. The only SNP we found to be associated with ovarian cancer risk in both of these two studies was SRD5A2 V89L (rs523349), which showed a significant trend of increasing risk per rare allele (P = 0.00002). We then genotyped another SNP in this gene (rs632148; r(2) = 0.945 with V89L) in an attempt to validate this finding in an independent set of 1,479 cases and 2,452 controls from United Kingdom, United States, and Denmark. There was no association between rs632148 and ovarian cancer risk in the validation samples, and overall, there was no significant heterogeneity between the results of the five studies. Further analyses of SNPs in this gene are therefore warranted to determine whether SRD5A2 plays a role in ovarian cancer predisposition.

Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2 > 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P < 10(-7)). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P < 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach.