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  • 1
    Keywords: RISK ; ALLELES ; GENETIC SUSCEPTIBILITY ; LOCI ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; EPISTASIS ; IDENTIFIES 2 ; ERAP1
    Abstract: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70 917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46 450 breast cancer cases and 42 461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P 〈 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P 〈 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P 〈 10(-8). Results from the second analytic approach were consistent with those from the first (P 〉 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
    Type of Publication: Journal article published
    PubMed ID: 24242184
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  • 2
    Keywords: RISK ; OVARIAN-CANCER ; BRCA2 MUTATIONS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; ALLELES ; LOCI ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; IDENTIFIES 2
    Abstract: Background: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. Methods: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. Results: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval 1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. Conclusion: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.
    Type of Publication: Journal article published
    PubMed ID: 24548884
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  • 3
    Keywords: ESTRADIOL ; SERUM ; TWINS ; PREMENOPAUSAL WOMEN ; SEX-HORMONE LEVELS ; STEROID-HORMONES ; LOCI ; GENOME-WIDE ASSOCIATION
    Abstract: Introduction: We have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age 〈= 50 years. Methods: We further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics. Results: We confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P-trend = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P-trend = 0.005) but not cases (P-trend = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P-het = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age 〉= 15 years (ORhet = 0.84, 95% CI 0.75, 0.94; ORhom = 0.81, 95% CI 0.51, 1.30; P-trend = 0.002) but not for those who had their menarche age 〈= 11 years (ORhet = 1.06, 95% CI 0.95, 1.19, ORhom = 1.07, 95% CI 0.67, 1.72; P-trend = 0.29). Conclusions: To our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.
    Type of Publication: Journal article published
    PubMed ID: 24887515
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  • 4
    Keywords: RISK ; VARIANTS ; METAANALYSIS ; ALLELES ; LOCI ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; IDENTIFIES 2 ; 5P12
    Abstract: Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46,450 cases and 42,600 controls) and analysed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 (rs1053338, per-allele OR=1.07, 95%CI=1.04-1.10, P=2.9x10-6), AKAP9-M463I at 7q21 (rs6964587, OR=1.05, 95%CI=1.03-1.07, P=1.7x10-6) and NEK10-L513S at 3p24 (rs10510592, OR=1.10, 95%CI=1.07-1.12, P=5.1x10-17). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine GWAS: for ATXN7-K264R, OR=1.07 (95%CI=1.05-1.10, P=1.0x10-8); for AKAP9-M463I, OR=1.05 (95%CI=1.04-1.07, P=2.0x10-10). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known genome-wide association study (GWAS) hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.
    Type of Publication: Journal article published
    PubMed ID: 24943594
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