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Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10 -8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.

Early-onset diagnosis is an eligibility criterion for BRCA1 and BRCA2 (BRCA) testing in sporadic breast cancer patients. Limited family structure has been proposed as a predictor of BRCA mutation status in this group of patients. An overwhelming amount of data supports a strong association between BRCA1 mutations and triple-negative breast cancer (TNBC). Here, we analyze the feasibility of using limited family structure and TNBC as predictors of BRCA mutation status in early-onset breast cancer patients attending genetic counseling units. We have conducted the study in a cohort of sporadic early-onset (≤35 years) breast cancer patients (N = 341) previously selected for BRCA genetic testing in Academic Hereditary Cancer Clinics from Spain. A retrospective review of medical records available at the time of risk assessment allowed us classifying patients according to family structure and TNBC. In addition, BRCAPRO score was calculated for all patients. Association between categorical variables was investigated using the Fisher's exact test. Binary Logistic Regression Analysis was used for multivariate analysis. Limited family structure (OR 3.61, p = 0.013) and TNBC (OR 3.14, p = 0.013) were independent predictors of BRCA mutation status. Mutation prevalence in the subgroup of patients with at least one positive predictor was 14%, whereas it dropped to 3% in non-TNBCs with adequate family history (OR 5.31, 95% CI 1.38-23.89, p = 0.006). BRCAPRO correctly discerned between limited and adequate family structures. Limited family structure and TNBC are feasible predictors of BRCA mutation status in sporadic early-onset (≤35 years) breast cancer patients attending genetic counseling units. The low prevalence of mutations observed in non-TNBCs with adequate family structure suggests that this subgroup of patients might be excluded from genetic testing.

In the Iberian Peninsula, which includes mainly Spain and Portugal, large genomic rearrangements (LGRs) of BRCA1 and BRCA2 have respectively been found in up to 2.33% and 8.4% of families with hereditary breast and/or ovarian cancer (HBOC) that lack point mutations and small indels. In Galicia (Northwest Spain), the spectrum and frequency of BRCA1/BRCA2 point mutations differs from the rest of the Iberian populations. However, to date there are no Galician frequency reports of BRCA1/BRCA2 LGRs. Here we used multiplex ligation-dependent probe amplification (MLPA) to screen 651 Galician index cases (out of the 830 individuals referred for genetic analysis) without point mutations or small indels. We identified three different BRCA1 LGRs in four families. Two of them have been previously classified as pathogenic LGRs: the complete deletion of BRCA1 (identified in two unrelated families) and the deletion of exons 1 to 13. We also identified the duplication of exons 1 and 2 that is a LGR with unknown pathogenicity. Determination of the breakpoints of the BRCA1 LGRs using CNV/SNP arrays and sequencing identified them as NG&#95;005905.2:g.70536&#95;180359del, NG&#95;005905.2:g.90012&#95;97270dup, and NC&#95;000017.10:g.41230935&#95;41399840delinsAluSx1, respectively; previous observations of BRCA1 exon1-24del, exon1-2dup, and exon1-13del LGRs have not characterized them in such detail. All the BRCA1 LGRs arose from unequal homologous recombination events involving Alu elements. We also detected, by sequencing, one BRCA2 LGR, the Portuguese founder mutation c.156&#95;157insAluYa5. The low frequency of BRCA1 LGRs within BRCA1 mutation carriers in Galicia (2.34%, 95% CI: 0.61-7.22) seems to differ from the Spanish population (9.93%, 95% CI: 6.76-14.27, P-value = 0.013) and from the rest of the Iberian population (9.76%, 95% CI: 6.69-13.94, P-value = 0.014).

Background: Accurate evaluation of unclassified sequence variants in cancer predisposition genes is essential for clinical management and depends on a multifactorial analysis of clinical, genetic, pathologic, and bioinformatic variables and assays of transcript length and abundance. The integrity of assay data in turn relies on appropriate assay design, interpretation, and reporting., Methods: We conducted a multicenter investigation to compare mRNA splicing assay protocols used by members of the ENIGMA (Evidence-Based Network for the Interpretation of Germline Mutant Alleles) consortium. We compared similarities and differences in results derived from analysis of a panel of breast cancer 1, early onset (BRCA1) and breast cancer 2, early onset (BRCA2) gene variants known to alter splicing (BRCA1: c.135-1G>T, c.591C>T, c.594-2A>C, c.671-2A>G, and c.5467+5G>C and BRCA2: c.426-12&#95;8delGTTTT, c.7988A>T, c.8632+1G>A, and c.9501+3A>T). Differences in protocols were then assessed to determine which elements were critical in reliable assay design., Results: PCR primer design strategies, PCR conditions, and product detection methods, combined with a prior knowledge of expected alternative transcripts, were the key factors for accurate splicing assay results. For example, because of the position of primers and PCR extension times, several isoforms associated with BRCA1, c.594-2A>C and c.671-2A>G, were not detected by many sites. Variation was most evident for the detection of low-abundance transcripts (e.g., BRCA2 c.8632+1G>A Δ19,20 and BRCA1 c.135-1G>T Δ5q and Δ3). Detection of low-abundance transcripts was sometimes addressed by using more analytically sensitive detection methods (e.g., BRCA2 c.426-12&#95;8delGTTTT ins18bp)., Conclusions: We provide recommendations for best practice and raise key issues to consider when designing mRNA assays for evaluation of unclassified sequence variants.

Mutations in BRCA1 and BRCA2 predispose carriers to early onset breast and ovarian cancer. A common problem in clinical genetic testing is interpretation of variants with unknown clinical significance. The Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium was initiated to evaluate and implement strategies to characterize the clinical significance of BRCA1 and BRCA2 variants. As an initial project of the ENIGMA Splicing Working Group, we report splicing and multifactorial likelihood analysis of 25 BRCA1 and BRCA2 variants from seven different laboratories. Splicing analysis was performed by reverse transcriptase PCR or mini gene assay, and sequencing to identify aberrant transcripts. The findings were compared to bioinformatic predictions using four programs. The posterior probability of pathogenicity was estimated using multifactorial likelihood analysis, including co-occurrence with a deleterious mutation, segregation and/or report of family history. Abnormal splicing patterns expected to lead to a non-functional protein were observed for 7 variants (BRCA1 c.441+2T>A, c.4184&#95;4185+2del, c.4357+1G>A, c.4987-2A>G, c.5074G>C, BRCA2 c.316+5G>A, and c.8754+3G>C). Combined interpretation of splicing and multifactorial analysis classified an initiation codon variant (BRCA2 c.3G>A) as likely pathogenic, uncertain clinical significance for 7 variants, and indicated low clinical significance or unlikely pathogenicity for another 10 variants. Bioinformatic tools predicted disruption of consensus donor or acceptor sites with high sensitivity, but cryptic site usage was predicted with low specificity, supporting the value of RNA-based assays. The findings also provide further evidence that clinical RNA-based assays should be extended from analysis of invariant dinucleotides to routinely include all variants located within the donor and acceptor consensus splicing sites. Importantly, this study demonstrates the added value of collaboration between laboratories, and across disciplines, to collate and interpret information from clinical testing laboratories to consolidate patient management.

Background: Although in recent years deleterious BRCA1 mutations have been extensively studied as a prostate cancer risk factor, results are inconclusive. To assess the contribution of the BRCA1 Galician founder mutation c.211A>G in prostate cancer morbidity we conducted a case-control study. Moreover, to better elucidate whether deleterious BRCA1 mutations are involved in the development of prostate cancer, we performed a systematic review and a meta-analysis of BRCA1 studies on prostate cancer., Methods: A total of 905 unselected men diagnosed with adenocarcinoma of the prostate and a control group of 936 unrelated men without history of prostate cancer were evaluated for c.211A>G. Adjusted by age Odds ratios (OR) and 95% confidence intervals (CIs) were estimated using logistic regression. To construct the meta-analysis, genotype-based epidemiological studies reporting BRCA1 founder mutations on prostate cancer were identified by comprehensive and systematic bibliographic search. After extraction of relevant data, main and subgroup analysis by mutation were performed to assess the effect of BRCA1 on prostate cancer risk., Results: Four c.211A>G heterozygous individuals, one patient and three controls, were detected (OR = 0.27; 95% CI: 0.01-2.36; P = 0.28). Meta-analysis results from the integration of our data and other seven studies with BRCA1 genotyping data (5,705 prostate cancer cases and 13,218 controls) did not detect an association with prostate cancer risk (OR = 1.36; 95% CI: 0.87-2.14; P = 0.18)., Conclusions: Our conclusive trial demonstrates the lack of association between Galician splicing mutation c.211A>G in the BRCA1 gene and prostate cancer risk. Moreover, the result of the meta-analysis also discards the involvement of BRCA1 mutations in the development of prostate cancer., (Copyright © 2011 Wiley Periodicals, Inc.)

Biallelic inactivation of ATM gene causes the rare autosomal recessive disorder Ataxia-telangiectasia (A-T). Female relatives of A-T patients have a two-fold higher risk of developing breast cancer (BC) compared with the general population. ATM mutation carrier identification is laborious and expensive, therefore, a more rapid and directed strategy for ATM mutation profiling is needed. We designed a case-control study to determine the prevalence of 32 known ATM mutations causing A-T in Spanish population in 323 BRCA1/BRCA2 negative hereditary breast cancer (HBC) cases and 625 matched Spanish controls. For the detection of the 32 ATM mutations we used the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry technique. We identified one patient carrier of the c.8264&#95;8268delATAAG ATM mutation. This mutation was not found in the 625 controls. These results suggest a low frequency of these 32 A-T causing mutations in the HBC cases in our population. Further case-control studies analyzing the entire coding and flanking sequences of the ATM gene are warranted in Spanish BC patients to know its implication in BC predisposition.