Abstract
Background
Breast cancer is one of the most prevalent malignancies in the world. In Peru, breast cancer is the second cause of death among women. Five to ten percent of patients present a high genetic predisposition due to BRCA1 and BRCA2 germline mutations.
Methods
We performed a comprehensive analysis of BRCA1 and BRCA2 genes by Sanger sequencing and multiplex ligation‐dependent probe amplification (MLPA) to detect large rearrangements in patients from 18 families, which met the criteria for hereditary breast cancer.
Results
In this series, we found four pathogenic mutations, three previously reported (BRCA1: c.302‐1G>C and c.815_824dup10; BRCA2: c.5946delT) and a duplication of adenines in exon 15 in BRCA1 gene (c.4647_4648dupAA, ClinVar SCV000256598.1). We also found two exonic and four intronic variants of unknown significance and 28 polymorphic variants.
Conclusion
This is the first report to determine the spectrum of mutations in the BRCA1/BRCA2 genes in Peruvian families selected by clinical and genetic criteria. The alteration rate in BRCA1/BRCA2 with proven pathogenic mutation was 22.2% (4 out 18) and this finding could be influenced by the reduced sample size or clinical criteria. In addition, we found three known BRCA1/BRCA2 mutations and a BRCA1 c.4647_4648dupAA as a novel pathogenic mutation.
Keywords: BRCA1 gene, BRCA2 gene, hereditary breast and ovarian cancer syndrome, molecular analysis
Introduction
Breast cancer is one of the most common malignancies in women in the world (Karami and Mehdipour 2013) and is second to cervical cancer in Peru (Ramos and Venegas 2013). Germline mutations in BRCA1 and BRCA2 are the two main genes predisposing to early development of breast and ovarian tumors; they account for the majority of cases in families with high‐risk profiles, representing a 26% to 84% lifetime risk for those cancers (Malone et al. 2006). The frequency of breast and ovarian cancer families with missense mutations, short deletions, or duplications varies between 15% and 70% depending on the population studied (Thorlacius et al. 1997; Tereschenko et al. 2002; Díez et al. 2003; Caporale and Swenson 2014).
The majority of mutations in BRCA1 and BRCA2 (Breast Cancer Information Core, BIC database 2017) are frameshift changes resulting in nonfunctional proteins. In addition, mutations that affect intron consensus sequences at the splice and branch sites of BRCA1 and BRCA2 and those that create ectopic splice sites account for 15% of point mutations associated with breast and ovarian cancer (Krawczak et al. 1992; Gutierrez‐Enriquez et al. 2009). Even though almost all cases involve one single pathogenic mutation in one of these genes, there are reports of two concurrent germline mutations in the same family (Stoppa et al. 1996; Gershoni‐Baruch et al. 1997; Friedman et al. 1998; Liede et al. 1998; Moslehi et al. 2000; Ganguly et al. 2001).
More recently, the use of new methodologies has allowed the detection of large genomic alterations that involve deletions or duplications of one or more exons in BRCA1 and BRCA2 genes in patients who are negative for other BRCA1/BRCA2 mutations. Those rearrangements include a gene copy number variations or deletions/duplications of exons at a frequency of 10%–20% depending on the ethnic and selection criteria of patients with hereditary breast cancer (Sluiter and van Rensburg 2011; Judkins et al. 2012). There are reports of genomic deletions and duplications mostly in the BRCA1 gene (Woodward et al. 2005), with fewer cases involving BRCA2 (Gutierrez‐Enriquez et al. 2007).
Genetic analysis of BRCA1 and BRCA2 in hereditary breast cancer families has health implications because it could offer different options to reduce the risk of developing cancer in women mutation carriers (Hernández et al. 2014).
Previous studies have shown an ancestry bias of global geographic origin for some causal mutations of different diseases, and in hereditary breast and ovarian cancer, some mutations in BRCA1 and BRCA2 are common to specific ethnic groups; notably, the mutations 185delAG in Ashkenazi Jews and 943ins10 in African‐Americans and Bahamians (Hall et al. 2009; Donenberg et al. 2011). The Peruvian population is currently over 30 million and has an estimated average indigenous genetic background of 70%, with the remaining European, African, and Asian ancestry fluctuating in the 5%–15% range, depending on the geographical origin (Elhaik et al. 2013; Sandoval et al. 2013). In general, the Peruvian and South American indigeneous populations have been the subject of very few genetic studies, mostly represented in the generic nominations of Latinos or Hispanic (Bryc et al. 2010). The only report on BRCA1 and BRCA2 mutations causing breast and ovarian cancer specifically in Hispanos was conducted using a custom‐made chip “Hispanel” developed at the City of Hope Comprehensive Cancer Center, Duarte, California, USA (Villarreal‐Garza et al. 2015).
We wanted to examine whether if the frequency of BRCA1 and BRCA2 mutations in Peruvian patients has the same pattern as other Hispanic populations and whether novel mutations of possible autochthonous South American origin exist.
Materials and Methods
Subjects
Blood samples were collected from 28 patients belonging to 18 families with a high risk for hereditary breast cancer. Patients were identified at Oncosalud‐AUNA clinic, a comprehensive cancer center in Peru, and referred for genetic analysis at the Centro de Genética y Biología Molecular of the Universidad de San Martín de Porres to gather information about pedigree and other cancer occurrences in the family, and to take venous blood for DNA. The selection of high‐risk families was made following the National Comprehensive Cancer Network (NCCN) criteria for hereditary breast and ovarian cancer. The study protocol and informed consent form was approved by the international review board of the Universidad de San Martín de Porres (IRB00003251‐FWA0015320). All patients signed an informed consent and were interviewed by a genetic counselor for medical, family, and lifestyle history.
Genomic DNA isolation and amplification
Genomic DNA was extracted from peripheral blood cells using the classical salting‐out extraction procedure (Miller et al. 1988), with some modifications, and was quantified using a QubitTM Fluorometer (InvitrogenTM, Carlsbad, CA, USA). Sixty‐six pairs of primers were used to amplify all exons and intron flanking regions of BRCA1 and BRCA2 genes (Rubio Rodrigo 2008). The final volume of reaction was 25 μL containing 50 ng of DNA, 10 pmol of each primer, 0.5 U of Taq polymerase (Thermo Fisher Scientific, Boston, MA, USA), 0.2 mm dNTPs, 1.5 mm MgCl2, and 1× buffer. PCR was performed in a Veriti® Thermocycler (Applied Biosystems®, Foster City, CA, USA) with initial denaturation at 95°C for 5 min, followed by 35 cycles at 95°C for 45 sec, specific annealing temperature for 1 min, 72°C for 2 min, and the final elongation step at 72°C for 10 min.
RNA extraction and RT‐PCR
Total RNA was obtained from peripheral‐blood leukocytes of patients and controls using TRIzol reagent (InvitrogenTM, Carlsbad, CA, USA) according to the manufacturer's protocol. After quantification with QubitTM Fluorometer (InvitrogenTM, Carlsbad, CA, USA), one microgram of total RNA was reverse transcribed using QuantiTect Reverse Transcription Kit (Qiagen®, Hilden, Germany) according to the manufacturers’ protocols. Primers used to amplify the BRCA1 coding region from exon 6 through exon 9 were 5′‐TCAGCTTGACACAGGTTTGG‐3′ and 5′‐CTTGATCTCCCACACTGCAA‐3′, forward and reverse, respectively. This was performed to check c.302‐1G>C in the carrier and three normal controls.
Quantitative real‐time PCR
In order to confirm the increased copy number of BRCA1 exon 7 after a MLPA screening, primers were designed to generate an amplicon of 54 pb for qPCR analysis using QuantiTect SYBR Green (Qiagen®, Hilden, Germany). Four different control DNA and two patients (CM03 and CM23) with copy number variations were analyzed. Calibration curve was constructed using serially diluted human control DNA (6, 3, 1.5, 0.5 ng/μL) from Epitect PCR Control DNA Set and MPL exon 10 as a normalizer gene. Quantification of the altered exon was assessed in patients and control DNA by normalizing all Ct values with the calibration curve and generating a [BRCA1]/[MPL] ratio. The ratio values were compared to determine the copy number variation between samples.
DNA sequencing
PCR amplicons were purified using a GeneJET PCR Purification Kit (Thermo Fisher Scientific, Boston, MA, USA) and sequenced in both directions using the BigDye Terminator version 3.1 Cycle Sequencing Kit and the ABI PRISM 3500 Genetic Analyzer (Applied Biosystems®, Foster City, CA, USA). The generated DNA sequences were analyzed using Sequencing Analysis Software 5.1 (Applied Biosystems®, Foster City, CA, USA) and then aligned using the Basic Local Alignment Search Tool (BLAST, available from: http://blast.ncbi.nlm.nih.gov/Blast.cgi). All mutations were identified by making comparisons with reference sequences from the National Center for Biotechnology Information database of genetic variation. The mutations were described by the guidelines proposed by the Human Genome Variation Society (HGVS) site and were referred to the cDNA sequence of BRCA1 (NM_007294.3) and BRCA2 (NM_000059.3).
Multiplex ligation‐dependent probe amplification (MLPA)
The MLPA technique was used to detect changes in the number of copies of the BRCA1 and BRCA2 genes or exons using SALSA MLPA probemix BRCA1 P002‐C2, probemix BRCA2 P045/CHEK2, and SALSA MLPA reagent kit‐FAM (MRC‐Holland, Amsterdam, the Netherlands).
The procedure was carried out as suggested by the MRC‐Holland protocol (MLPA‐DNA protocol version MDP‐V003; MRC‐Holland 2013), which consisted of four steps: (1) DNA denaturation (30–50 ng) at 98°C for 5 min, (2) hybridization with a specific probemix for 16 h at 60°C, (3) ligation at 54°C for 30 min, (4) inactivation ligase at 98°C for 5 min, (5) and amplification of fragments.
For capillary electrophoresis, a mixture of 1 uL product amplification, 0.2 uL weight marker (LIZ 500), and 9 uL of HiDi formamide, denatured for 3 min at 90°C, was used for each patient on an ABI 3500 Genetic Analyzer using a 50 cm capillary with POP7 resine. Amplification was performed with a 1.6‐kV injection voltage and a 15‐sec injection time.
Data were analyzed using the Coffalyser software, as proposed by MRC‐Holland (Amsterdam, the Netherlands) in the MLPA General Protocol version MDP‐V003. This analysis comprised three stages: the record of fragments followed by a comparative analysis and analysis of Coffalyser score (CAS). If the samples have both optimum parameters, the program uses the ratio of fluorescence (DQ) to quantify the number of copies present in each fragment.
Population‐based study by high‐resolution melting (HRM)
The frequency in the control populations of novel variants in BRCA1 (p.C47F) and BRCA2 (p.R155K) were evaluated in 100 control individual DNAs (200 chromosomes) by HRM of the amplicons containing the variants. PCR reactions were performed in 12.5 ul final volume using the Type‐it HRM PCR Kit (Qiagen®, Hilden, Germany), free nuclease water, and 15 ng DNA using a Rotor Gene Q 5‐plex HRM (Qiagen®, Hilden, Germany) provided with the Rotor‐Gene Q Series Software Version 2.3.1. The primer mix for both cases was used at 0.7 uM. PCR conditions consisted of a two‐step program with a denaturing step at 95°C for 10 sec and an annealing‐extension step at 55°C (p.C47F) and 60°C (p.R155K) for 30 sec. A preliminary melting analysis was performed previous to HRM by taking continuous fluorescent readings from 60 to 90°C, rising by 0.5°C in each step. Once the critical temperature ranges were identified, HRM was performed in the following conditions: rising by 0.05°C in each step, from 72 to 78°C for the p.C47F assay, and from 69.5 to 78.5°C for the p.R155K assay, which were thus acquired and registered in the Rotor Gene HRM channel.
The melting curve analysis was performed by shifting the temperature axis around the melting temperature detected for each amplicon. Genotyping was accomplished using positive controls for the mutation and wild type genotypes, both confirmed previously by Sanger sequencing. Wild type and mutant genotypes were considered above 80% confidence by normalization of melting curves. Finally, the difference plot helped to cluster the samples into groups. The PCR products were confirmed by agarose gel electrophoresis ensuring the presence of a single PCR product with the expected size.
Bioinformatics predictions of variants
To determine the functional impact of the variants of uncertain significance, we used the on‐line programs PolyPhen‐2 (http://genetics.bwh.harvard.edu/pph2/), SIFT (http://sift.jcvi.org/), and Align‐GVGD (http://agvgd.iarc.fr/agvgd_input.php). These prediction programs are based on observed residue substitutions in homologous proteins of different species. Additionally, for variants of uncertain significance we used ESEfinder software version 3.0 (http://rulai.cshl.edu/cgi-bin/tools/ESE3/esefinder.cgi) to predict whether they affect an exonic splicing enhancer.
Results
All families fulfilled the selection criteria for hereditary breast and ovarian cancer established in the study. We screened 28 individuals belonging to 18 families to obtain the presence of point mutations and large genomic rearrangements in BRCA1 and BRCA2 genes. When a presumed pathogenic mutation was identified in a patient, we screened some affected relatives for the presence of the particular mutation. MLPA analysis was performed in all probands.
Pathogenic mutations
In our series, we identified four family carriers (22%) of germline mutations in BRCA1 and BRCA2 genes. Table 1 shows the features of families carrying a germline mutation in BRCA1 and BRCA2 and Table 2 summarizes the list of pathogenic mutations identified in four families.
Table 1.
Features of families carrying a germline mutation in BRCA1 and BRCA2
| Family ID | Clinical manifestations (age of onset) | Family history |
|---|---|---|
| Fam 3 | Breast cancer (40) | Father with prostate cancer, half‐sister with bilateral breast cancer at age 34, grandfather with prostate cancer, and one second‐degree relative with breast cancer at age 50. |
| Fam 12 | Breast cancer (45) | Father with prostate cancer at age 75, aunt with breast cancer, two cousins with breast cancer, grandfather with lung cancer, and two second‐degree relatives with breast cancer. |
| Fam 13 | Breast cancer (36) | Mother with ovarian cancer at 45, aunt with breast cancer at 45, grandmother with breast cancer at 68, three of mother's half‐sisters with breast cancer at ages 29, 38, and 50, and one cousin with testicular cancer. |
| Fam 17 | Breast and ovarian cancer (46) | Mother with breast cancer, two aunts with breast cancer, one aunt and one grand uncle with stomach cancer, one aunt with ovarian cancer, and one uncle with lung cancer. |
Table 2.
Pathogenic germline mutations detected in BRCA1 and BRCA2 genes
| Family ID | Gene | Location | Nucleotide change | Protein effect | dbSNP | Submission number (ClinVar) |
|---|---|---|---|---|---|---|
| Fam 12 | BRCA1 | Intron 6 | c.302‐1G>C | – | rs80358116 | SCV000263345.1 |
| Fam 17 | BRCA1 | Exon 11 | c.815_824dup10 | p.T276Afs*14 | rs387906563 | SCV000263346.1 |
| Fam 13 | BRCA1 | Exon 15 | c.4647_4648dupAA | p.T1550Kfs*10 | rs869025213 | SCV000256598.1 |
| Fam 3 | BRCA2 | Exon 11 | c.5946delT | p.S1982Rfs*22 | rs80359550 | SCV000263344.1 |
Bold annotation indicates a novel mutation found in our study.
Splice site change mutation c.302‐1G>C, located in intron 6 of BRCA1, was detected in family 12 in a maternal first‐degree cousin of the proband with bilateral breast cancer at age 51 (Fig. 1). Proband with breast cancer at the age of 36, has an extended maternal family with a high incidence of cancer showing three of eight individuals in generation II and five out of 12 in generation III and at least two maternal first‐degree cousins with breast cancer carry the c.302‐1G>C mutation. The BRCA1 c.302‐1G>C mutation has been reported in the ClinVar database as pathogenic. At the same nucleotide, BRCA1 c.302‐1, other variants were also reported as pathogenic (c.302‐1G>A; c.302‐1G>T) (Gutierrez‐Enriquez et al. 2009). The proband did not show that splice mutation but another one (see below p.C47F in the VUS section).
Figure 1.

Genealogy and Sanger sequencing of families with pathogenic germline mutations. Family 3 presented an Ashkenazi mutation (c.5946delT) in BRCA2. Family 12 presented a splice exon skipping alteration (c.302‐1G>C) and missense mutation (c.140G>T) in intron 6 and exon 5 of BRCA1, respectively. Family 13 presented a duplication of two adenines (c.4647_4648dupAA) in exon 15 of BRCA1, and family 17 presented a duplication of 10 nucleotides (c.815_824dup10) in exon 11 of BRCA1. Arrow indicates proband and mutation position.
Another mutation, a duplication of 10 bases c.815_824dup10, located in exon 11 of BRCA1, was detected in a patient diagnosed with breast cancer at age 46 from family 17. This mutation leads to a frameshift and a spurious stop codon of 14 amino acids further down (p.T276Afs*14). The patient's mother and two aunts had breast cancer, one aunt and one grand uncle had stomach cancer, one aunt had ovarian cancer, and one uncle had lung cancer (Fig. 1).
We identified c.5946delT in BRCA2 (BIC: 6174delT), a mutation which is known to be a founder mutation in Ashkenazi Jewish ancestry. This mutation was reported in a patient in family 3, who was diagnosed with breast cancer at age 40. Her paternal half‐sister had bilateral breast cancer at age 34, her father and grandfather had prostate cancer, and a second‐degree relative had breast cancer at age 50 (Fig. 1).
In addition, a novel mutation was found in this study, c.4647_4648dupAA (Submission number SCV000256598.1; rs869025213), which is located in exon 15 of BRCA1. Its putative product results in a frameshift and the termination of protein translation for 10 residues further down (p.T1550Kfs*10). This mutation was identified in family 13 and the proband was diagnosed with breast cancer at 36 years. The proband's mother got ovarian cancer at age 45, her maternal aunt had breast cancer at age 45, her maternal grandmother had breast cancer at age 68, three of the mother's half‐sisters had breast cancer at ages 29, 38, and 50, and one cousin had testicular cancer (Fig. 1).
Gene dosage alterations
The 18 families were screened for the presence of large genomic rearrangements using MLPA, which were found in two patients. An amplification in a copy number of exon 7 of BRCA1 was found (Fig. 2) in a patient (CM03, family 2) diagnosed with breast cancer at age 40. Her sister also had breast cancer at age 34 and died. In addition, her father and grandfather were diagnosed with prostate cancer. Another patient unrelated to this family also had a rearrangement of exon 7 of BRCA1 (CM23, family 14), and she was diagnosed with bilateral breast cancer at age 60. This rearrangement was analyzed in her sister with breast cancer at age 67, but that amplification was not present. Both rearrangements were analyzed for triplicate in independent assays for confirmation.
Figure 2.

(A) MLPA results for BRCA genes. The left electropherogram shows an exon 7 amplification (ratio 2.74) in a BRCA1 patient (CM03), which presents an Ashkenazi mutation (c.5946delT) in BRCA2. The right electropherogram shows an amplification of exon 7 (ratio 3.62) in another BRCA1 patient (CM23) with familial breast cancer. We evaluated the second amplification in an affected relative but she did not present the alteration. We used Coffalyser.Net software for analysis. Both figures show BRCA1 exons on the X‐axis and intranormalized ratio on Y‐axis, respectively. All assays were performed three times. (B) qPCR to confirm results of MLPA.
MLPA amplification results were corroborated by performing a quantitative PCR (Fig. 2) using primers flanking exon 7 of BRCA1 and primers designed for MPL exon 10 as a normal control (2X) endogenous gene. Extra copies for exon 7 BRCA1 were detected for both patients by qPCR relative amplification. Values shown that both patients have an abnormal ratio compared with controls, reflecting the presence of extra copies.
Variants of uncertain significance (VUS)
Two exonic variants of unknown significance were identified, one in BRCA1 and the other in BRCA2 (Table 3). We reported a VUS in exon 5, c.140G>T, a missense, which generated a change from cysteine to phenylalanine at codon 47 (p.C47F; submission number SCV000282660.1; rs80357150) in the RING domain of the protein. According to the Universal Mutation Database software (http://www.umd.be/), p.C47F is pathogenic. The in silico predictors SIFT, CGCD, and ESEfinder suggest its pathogenicity that has been proven by functional assays (Donenberg et al. 2011). The proband of family 13 bears that mutation, and she has a maternal first cousin with c.302‐1G>C. The paternal branch of the proband family had cases of cancer including her father with prostate cancer at age 75, a paternal aunt and two cousins with breast cancer, a grandfather with lung cancer, and two second‐degree relatives with breast cancer. The other VUS was a novel BRCA2 missense variant c.464G>A in exon 5, which generated a change from arginine to lysine at codon 155 (p.R155K; submission number SCV000282661.1; rs377639990; Table 3). When analyzed by the predictors, it is determined as “tolerated” by SIFT analysis, with a CGCD score of 25, and no disruption reported by ESEfinder, indicating that this mutation shows low probabilities of pathogenicity. To clarify the function of these variants C47F and R155K, we performed a population‐based study using DNA from 100 nonselected, normal adult Peruvian controls (200 chromosomes), who have not developed cancer, of all ages and both sexes. These variants were analyzed using HRM (Fig. 3), and neither was found in the control population, indicating that both variants remain uncommon in the general population.
Table 3.
List of exonic variants of uncertain significance (VUS) and in silico analysis
| Gene | Nucleotide change | Protein effect | Location | Functional domain | Database | In silico | Functional assay | Submission number (ClinVar) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| UMD | BIC | ClinVar | dbSNP | Polyphen | SIFT | Align GCGD | ESEfinder | |||||||
| BRCA1 | c.140G>T | C47F | Exon 5 | Ring | Pathogenic | unknown | VUS | rs80357150 | Possibly | Affect | C65 | ESE disruption (SRSF6) | Pathogenic (Donenberg et al. 2011) | SCV000282660 |
| BRCA2 | c.464G>A | R155K | Exon 5 | – | – | – | – | rs377639990 | Probably | Tolerated | C25 | No effect | – | SCV000282661 |
Polyphen: variant benign, Possibly damaging and Probably damaging; SIFT: Variant tolerated (benign) or Affect protein function; Align GVGD: C0 (Less likely to interfere in protein function), C15, C25, C35, C45, C55, C65 (More likely to interfere in protein function); ESEFinder: ESE (Exonic Splicing Enhancer), SRSF6 (Serine/arginine‐rich splicing factor 6). Bold annotation indicates a novel mutation found in our study.
Figure 3.

Population‐based study by HRM analysis. The figure shows the different fluorescence‐normalized HRM plots for each variant of unknown significance. Each curve represents the amplicon from a different individual's DNA sample. Panel (A) BRCA1 exon 5: p.C47F; and Panel (B) BRCA2 exon 5: p.R155K. The analysis of variants was compared with 100 control samples.
In addition, we identified four intronic variants of unknown significance (three of which were novel mutations c.442‐9A>T in intron 7, c.5074+28T>A in intron 17, and c.5193+79A>G in intron 1 as well as a new previously reported c.548‐64delT,) in BRCA1 and tried to characterize them by in silico analysis (Table 4).
Table 4.
Intronic variants of uncertain significance (VUS)
| Nucleotide change | Location | No. of patients with variant | dbSNP | ESEfinder |
|---|---|---|---|---|
| c.442‐9A>T | Intron 7 | 2 | Novel | No effect |
| c.548‐64delT | Intron 8 | 2 | rs273902772 | No effect |
| c.5074+28T>A | Intron 17 | 7 | Novel | Add ESE (SRSF2) |
| c.5193+79A>G | Intron 19 | 1 | Novel | Loss ESE (SRSF5) |
Bold annotation indicates a novel mutation found in our study.
Polymorphisms
We found 28 polymorphic variants (in exons or introns) in BRCA1 and BRCA2 genes previously reported at the dbSNP and UMD database: nine silent mutations in the coding sequence, eight intronic variants, ten missense variants, and the c.1‐26G>A variant on the 5′ UTR region (Table 5).
Table 5.
Polymorphisms in BRCA1 and BRCA2 genes
| Gene | Location | Nucleotide change | Protein effect | No. patients with the variant | dbSNP |
|---|---|---|---|---|---|
| BRCA1 | Missense variations | ||||
| Exon 11 | c.1067A>G | p.Q356R | 2 | rs1799950 | |
| Exon 11 | c.2612C>T | p.P871L | 8 | rs799917 | |
| Exon 11 | c.3113A>G | p.E1038G | 6 | rs16941 | |
| Exon 11 | c.3548A>G | p.K1183R | 12 | rs16942 | |
| Exon 15 | c.4535G>T | p.S1512I | 1 | rs1800744 | |
| Exon 16 | c.4837A>G | p.S1613G | 12 | rs1799966 | |
| Synonyms | |||||
| Exon 11 | c.2082C>T | p.S694S | 10 | rs1799949 | |
| Exon 11 | c.2311T>C | p.L771L | 11 | rs16940 | |
| Exon 13 | c.4308T>C | p.S1436S | 14 | rs1060915 | |
| Intronic variations | |||||
| Intron 7 | c.441+36delCTT | 7 | a | ||
| Intron 7 | c.441+36del14 | 7 | a | ||
| Intron 7 | c.441+51delT | 5 | a | ||
| Intron 7 | c.442‐34C>T | 2 | rs799923 | ||
| Intron 14 | c.4485‐63C>G | 6 | rs273900734 | ||
| Intron 18 | c.5152+66G>A | 11 | rs3092994 | ||
| BRCA2 | Missense variations | ||||
| Exon 10 | c.865A>C | p.N289H | 5 | rs766173 | |
| Exon 11 | c.2971A>G | p.N991D | 4 | rs1799944 | |
| Exon 11 | c.5744C>T | p.T1915M | 1 | rs4987117 | |
| Exon 14 | c.7397C>T | p.A2466V | 1 | rs169547 | |
| Synonyms | |||||
| Exon 10 | c.1365A>G | p.S455S | 4 | rs1801439 | |
| Exon 11 | c.2229T>C | p.H743H | 5 | rs1801499 | |
| Exon 11 | c.3396A>G | p.K1132K | 5 | rs1801406 | |
| Exon 11 | c.3807T>C | p.V1269V | 3 | rs543304 | |
| Exon 11 | c.4563A>G | p.L1521L | 17 | rs206075 | |
| Exon 14 | c.7242A>G | p.S2414S | 4 | rs1799955 | |
| Intronic variations | |||||
| Intron 8 | c.681+56C>T | 6 | rs2126042 | ||
| Intron 10 | c.1909+22delT | 17 | rs587780561 | ||
| UTR variations | |||||
| 5′UTR | c.1‐26G>A | 3 | rs1799943 | ||
Only reported in UMD database.
Discussion
As familial cancer history increases the risk of malignancy in individuals, it also provides a reason for preventive measures such as lifestyles changes, more frequent screenings, chemoprevention, prophylactic surgery, and genetic detection, when possible. Breast and ovarian cancer caused by mutations in BRCA1 and BRCA2 have been identified as the most common type of inherited cancer (Scheuner et al. 2010), and the founder effect is observed in populations like of Ashkenazi or Mexican Ancestry (Díez et al. 2003; Weitzel et al. 2005; Hall et al. 2009; Villarreal‐Garza et al. 2015; Dutil et al. 2015). To our knowledge, the only study on BRCA1 and BRCA2 genes in Peruvian populations was performed with a panel chip, “Hispanel,” of 114 recurrent mutations that are claimed to represent 80% of Hispanic BRCA1 and BRCA2 mutations (Abugattas et al. 2014). In that study, 266 unselected nonrelated breast cancer patients showed 13 deleterious mutations (11 BRCA1 and 2 BRCA2), including BRCA1 185delAG present in seven patients, BRCA1 2080delA in two patients, and BRCA2 3036del4 in two patients.
South Americans in general, and specifically Peruvian hereditary breast cancer populations, are not well characterized with mutations in BRCA1 and BRCA2 genes, and a founder effect has not been identified. We studied a group of 18 families with hereditary breast and ovarian cancer by family history and age of presentation criteria (<55 years old) and performed complete exons and partial intron sequencing of BRCA1/2 genes and screening for large rearrangements by MLPA. We used both methods to avoid losing information on mutations or underestimating the prevalence and diversity of BRCA mutations in our population.
Pathogenic mutations
One of the main types of alternative splicing is alternative acceptor site selection (Kim et al. 2008), and the splice acceptor mutation c.302‐1G>C (at the canonical intronic acceptor splicing site AG) found in the proband of family 12 has been previously reported as pathogenic (Breast Cancer Information Core (BIC), 2017), although its functional mechanism has not been explored. However, a similar missense c.302‐1G>A creates a new alternative acceptor site out of frame in exon 7 of BRCA1 adding 14 spurious residues and a predicted stop codon at residue 115 (p.Tyr101SerfsX15) (Gutierrez‐Enriquez et al. 2009), which can be analyzed by cDNA sequencing. Our analysis of c.302‐1G>C cDNA products (Fig. 4) demonstrates that this intronic substitution generate a transcript lacking exon 7, with the inclusion of seven new amino acids (141^147) in the BRCA1 protein and the appearance of premature stop codon in position 148 (p.Q141EfsX8). This results support their pathogenic effect. This mutation was present in the maternal branch of the proband, where at least 10 individuals had cancer (six with breast or ovarian, two with throat, one with prostate, and one with lung cancer). That mutation was also found in another maternal first cousin with breast cancer in a commercial service. Unexpectedly, that splice mutation present in the maternal branch of the proband was not found in her (cancer diagnosed at age 43) or her healthy mother (age 71), but rather a VUS missense p.C47F was found. This mutation was absent in her mother, and the lack of information from the father and paternal relatives precluded us from further analysis in this branch of her family. That concurrence of two events of mutation in a proband family merits a short reflection in the diagnosis because the proband approached for corroboration of the diagnosis for the high risk of bearing the c.302‐1G>C from her maternal family and the negative result prompted us to conduct further analysis to find the missense p.C47F in exon 5 of BRCA1.
Figure 4.

Partial sequence of the RT‐PCR product of mutated allele from a BRCA1 c.302‐1G>C. This alteration causes skipping of exon 7, and the appearance of a premature stop codon (p.Q141EfsX8).
The novel mutation c.4647_4648dupAA found in family 13 lies outside the functional domain of BRCA1, but the frameshift and the stop codon created (10 residues further down) in exon 15 generated the loss of the C‐terminal BRCT repeat domain, which mediates protein–protein interactions (cell cycle checkpoint for DNA damage) (Au and Henderson 2005), and the truncation of the BRCT domain greatly impairs the stability and nuclear localization of the BRCA1 protein (Nelson and Holt 2010).
The BRCA1 c.815_824dup10 mutation in family 17 is the most frequent pathogenic variant reported in African‐Americans (Scheuner et al. 2010). There are also reports about this mutation in Mexican families (Weitzel et al. 2005), patients of Latin American/Caribbean background in the BIC database (Breast Cancer Information Core (BIC), 2017), and in unselected breast cancer patients from Peru (Abugattas et al. 2014).
The c.5946delT (BIC: 6174delT) in BRCA2 found in family 3 is a well characterized founder mutation in Ashkenazi Jews and is present in about 1.52% of the Ashkenazi Jewish. The average risk of breast cancer by the age of 70 for Ashkenazi carriers of the c.5946delT mutation is higher than the risk of ovarian cancer, 43% and 20%, respectively (Janavicius 2010).
Concerning the Hispanel (Hispanic panel), made mostly with samples of indigenous and mestizos mainly from Mexican and Mexican‐American origin (31), we only detected one common mutation, c.5946delT (BIC: 6174delT), in BRCA2 of Ashkenazi ancestry. This finding raises concerns about the utility of the panel when applied to Hispanic populations that are different to the original population source and points out the need for a wider and more representative sample in those populations.
Variants of uncertain significance (VUS)
The variants with unknown pathogenic potential are termed unclassified variants and account for approximately 50% of the variants detected in BRCA1 and BRCA2 (van der Groep et al. 2011). The BRCA1 missense mutation c.140G>T, which lies inside the RING domain, generates a change from cysteine to phenylalanine at codon 47 (p.C47F). It has been reported in the BIC database and ClinVar as of unknown significance, although this cysteine is very well conserved across species (Fig. 5). Bioinformatic tools (Polyphen and SIFT) and functional assays (Millot et al. 2011; Meenakumari and Rajkumar 2012) indicate C47F may alter protein function. ESEfinder software predicted an ESE disruption (SRSF6), whereas Align GCGD predicted a high‐risk estimate for this missense mutation.
Figure 5.

Multiple alignments using ClustalW and amino acid conservation of two missense variations: c.140G>T (p.C47F) in BRCA1 and c.464G>A (p.R155K) in BRCA2 across several species. Letter in the box denotes amino acids substituted. Cysteine at codon 47 in BRCA1 and arginine at codon 155 in BRCA2 are conserved across different species. Asterisk denotes conserved amino acid.
The BRCA2 missense mutation R155K is a novel mutation that was not registered in the BIC, ClinVar, or LOVD records. Arginine at position 155 is highly conserved across species, although Polyphen and SIFT software give contradictory predictions of probably damaging or tolerated, respectively. ESEfinder software reported no effect, and Align GCGD reported a low risk estimate for this missense mutation.
Our analysis of two VUS by population‐based study helps to clarify the possible effects of C47F and R155K, but is necessary to complete the analysis with co‐segregation studies.
The clinical utility of VUS is limited by the lack of knowledge about its pathogenicity. A subset of the VUS is located in intronic sequences and these variants may play a role in the regulation of pre‐mRNA splicing and can be deleterious (Wong‐Brown et al. 2013). Some splice site prediction programs (SSPPs) have been developed to predict the possible effect of a variant on RNA splicing. In our case, ESEfinder (v.3.0) software demonstrated a significant variation in the branch site between the wild type and the mutant sequence in c.5074+28T>A (new site SRSF2) and c.5193+79A>G (lost site SRSF5) mutations, but no variation in c.442‐9A>T and c.548‐64delT (Table 4). It is essential to establish the effect of these variants on RNA splicing by molecular RNA analysis to assess if they are benign or pathogenic.
Polymorphic variants
We have found sequences reported as polymorphic at both BRCA1 and BRCA2, presumably with no pathogenic effect (Domchek and Greenberg 2009; Jaure et al. 2015) (Table 4). Many BRCA1 single nucleotide polymorphisms (SNPs) result in amino acid changes. Yet these polymorphisms, with the exception of Q356R and D693N, are in significant linkage disequilibrium (LD) and are inherited as part of a shared haplotype (Freedman et al. 2005). In BRCA1, the polymorphic variants S1613G in exon 16 and P871L accompanying E1038G in exon 11 constitute the most common single nucleotide polymorphism in the BRCA1 gene, and they had been reported in different populations (India, Greece, Malaysia, Sri Lanka, Turkey, and Italy) (Karami and Mehdipour 2013). There are some reports about variants in BRCA1 with protective effect; for example, the lack of K1183R variant in exon 11 of the BRCA1 gene increases the risk of breast cancer, which could be considered protective polymorphism (Karami and Mehdipour 2013). Finally, variant S1512I is not an important functional domain, and its allelic frequency is similar in controls and patients (Deffenbaugh et al. 2002; Phelan et al. 2002).
In BRCA2, the very common variants N289H, N991D, T1915M, and A2466V are neutral variants of negligible functional and clinical significance, and the observed relative frequencies of these variants in unilateral and bilateral breast cancer are consistent with the hypothesis that these variants do not affect the risk of breast cancer (Freedman et al. 2004; Borg et al. 2010). However, Debniak et al. demonstrated that the common variant N991D is linked with an increased malignant melanoma risk (Debniak et al. 2008; Bougie and Weberpals 2011). Finally, the 5′ UTR polymorphism c.1‐26G>A (rs1799943) of BRCA2 is considered benign (ClinVar), even though Gochhait et al. reported that this polymorphism might regulate the expression of BRCA2, albeit not at a transcriptional level, but at a posttranscriptional level affecting the translational efficiency (Gochhait et al. 2007).
Gene dosage alterations
Detection of rearrangements in the BRCA genes is essential because, in some populations, the prevalence of large deletions or duplications is substantial. Such prevalence comprises 18% of Jewish families (Palma et al. 2008), 10% of Asian families (Lim et al. 2007), and between 1.7% and 5.7% of German families (Preisler‐Adams et al. 2006). The frequency of large rearrangements in the BRCA1 gene is higher than in the BRCA2 gene (Sluiter and van Rensburg 2010). The majority of large rearrangements described so far involve deletions in both genes, but the amplifications are very infrequent (Sluiter and van Rensburg 2010). Some duplications in BRCA1 have been reported in different populations, such as the duplication of exon 13 and exon 3–8 in French patients, triplicate amplification of exons 17–19 in Dutch patients, the duplication of exon 20 in Italian patients, and duplications of exons 18 and 19 in North Americans (Puget et al. 1999; Gad et al. 2001; Hogervorst et al. 2003; Agata et al. 2006; Walsh et al. 2006). In South America, there are few reports of studies of the BRCA genes by MLPA, and a frequency of 3.8% in a Chilean study and 6.4% in Colombia of large rearrangements in BRCA1 was found, whereas no alterations were found at the BRCA2 level (Sanchez et al. 2011; Silva et al. 2014). Although our sample of patients was small (N = 18), the frequency of large rearrangements was 12.5% (2 of 18), similar to that reported for other populations; however, we must be careful because the small sample. Finally, there are cases where the pathogenic role of some duplications identified in BRCA cannot be explained; thus, it is necessary to perform segregation studies in these families to determine their possible pathogenic effect on the development of the disease (Agata et al. 2006). Among our patients, we found two independent events of multiplication of exon 7 in probands that could not be found in other cancer affected relatives, thus concluding that they are not pathogenic.
In conclusion, our comprehensive evaluation of BRCA1/BRCA2 in families with criteria for hereditary breast cancer found three known BRCA1/BRCA2 mutations and BRCA1 c.4647_4648dupAA as a novel pathogenic. The alteration rate in BRCA1/BRCA2 with proven pathogenic mutation was 22.2% (4 of 18), and this frequency can be explained by the genetic testing criteria, the reduced sample size, or a possible distinctive genetic profile of the Peruvian samples. A few VUS have also been found in our population and they need to be analyzed for its potential pathogenic effect. This report is relevant for the local population and justifies the development of other studies with a large cohort to determine the spectrum and prevalence of BRCA1 and BRCA2 mutations and possible founder mutations in the Peruvian population.
Conflict of Interest
The authors declare no conflict of interest.
Acknowledgments
The authors are grateful for the patients and their family members for participating in this study. We thank Omar Cáceres and Heiner Guio (Instituto Nacional de Salud) for support in sequencing procedures. This study was funded by research grants from the Facultad de Medicina de la Universidad de San Martín de Porres (Project E1001‐2015048), FINCyT No. 138‐PNICP‐PIAP‐2015, Oncosalud‐AUNA, Instituto Nacional de Salud (Project: “Caracterización Molecular de Mutaciones Hereditarias en Familias con Historial de Cáncer de Mama y Ovario”) and Origenetica SAC.
Molecular Genetics & Genomic Medicine 2017; 5(5): 481–494
References
- Abugattas, J. , Llacuachaqui M., Allende Y. S., et al. 2014. Prevalence of BRCA1 and BRCA2 mutations in unselected breast cancer patients from Peru. Clin. Genet. 88:371–375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Agata, S. , Viel A., Della Puppa L., et al. 2006. Prevalence of BRCA1 genomic rearrangements in a large cohort of Italian breast and breast/ovarian cancer families without detectable BRCA1 and BRCA2 point mutations. Genes Chromosom. Cancer 45:791–797. [DOI] [PubMed] [Google Scholar]
- Au, W. W. Y. , and Henderson B. R.. 2005. The BRCA1 RING and BRCT domains cooperate in targeting BRCA1 to ionizing radiation‐induced nuclear foci. J. Biol. Chem. 280:6993–7001. [DOI] [PubMed] [Google Scholar]
- Borg, Å. , Haile R. W., Malone K. E., et al. 2010. Characterization of BRCA1 and BRCA2 deleterious mutations and variants of unknown clinical significance in unilateral and bilateral breast cancer: the WECARE study. Hum. Mutat. 31:E1200–E1240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bougie, O. , and Weberpals J. I.. 2011. Clinical considerations of BRCA1‐ and BRCA2‐mutation carriers: a review. Int. J. Surg. Oncol. 2011:374012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Breast Cancer Information Core (BIC) . 2017. An Open Access Online Breast Cancer Mutation Database. Available at http://www.nhgri.nih.gov/Intramural_research/Lab_transfer/BIC/
- Bryc, K. , Velezb C., Karafetc T., et al. 2010. Genome‐wide patterns of population structure and admixture among Hispanic/Latino populations. PNAS 107:8954–8961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caporale, D. , and Swenson E.. 2014. Two different BRCA2 mutations found in a multigenerational family with a history of breast, prostate, and lung cancers. Adv. Genomics Genet. 4:87–94. [Google Scholar]
- Debniak, T. , Scott R., G′orski B., et al. 2008. Common variants of DNA repair genes and malignant melanoma. Eur. J. Cancer 44:110–114. [DOI] [PubMed] [Google Scholar]
- Deffenbaugh, A. M. , Frank T. S., Hoffman M., Cannon‐Albright L., and Neuhausen S. L.. 2002. Characterization of common BRCA1 and BRCA2 variants. Genet. Test. 6:119–121. [DOI] [PubMed] [Google Scholar]
- Díez, O. , Osorio A., Durán M., et al. 2003. Analysis of BRCA1 and BRCA2 genes in Spanish breast/ovarian cancer patients: a high proportion of mutations unique to Spain and evidence of founder effects. Hum. Mutat. 22:301–312. [DOI] [PubMed] [Google Scholar]
- Domchek, S. M. , and Greenberg R. A.. 2009. Breast cancer gene variants: separating the harmful from the harmless. J. Clin. Invest. 119:2895–2897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Donenberg, T. , Lunn J., Curling D., et al. 2011. A high prevalence of BRCA1 mutations among breast cancer patients from the Bahamas. Breast Cancer Res. Treat. 125:591–596. [DOI] [PubMed] [Google Scholar]
- Dutil, J. , Golubeva V. A., Pacheco‐Torres A. L., Diaz‐Zabala H. J., Matta J. L., and Monteiro A. N.. 2015. The spectrum of BRCA1 and BRCA2 alleles in Latin America and the Caribbean: a clinical perspective. Breast Cancer Res. Treat. 154:441–453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Elhaik, E. , Greenspan E., Staats S., et al. 2013. The GenoChip: a new tool for genetic anthropology. Genome Biol. Evol. 5:1021–1031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Freedman, M. L. , Penney K. L., Stram D. O., et al. 2004. Common variation in BRCA2 and breast cancer risk: a haplotype‐based analysis in the multiethnic cohort. Hum. Mol. Genet. 13:2431–2441. [DOI] [PubMed] [Google Scholar]
- Freedman, M. L. , Penney K. L., Stram D. O., et al. 2005. A haplotype‐based case‐control study of BRCA1 and sporadic breast cancer risk. Cancer Res. 65:7516–7522. [DOI] [PubMed] [Google Scholar]
- Friedman, E. , Bar Sade Bruchim R., Kruglikova A., et al. 1998. Double heterozygotes for the Ashkenazi founder mutations in BRCA1 and BRCA2 genes. Am. J. Hum. Genet. 63:1224–1227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gad, S. , Aurias A., Puget N., et al. 2001. Color bar coding the BRCA1 gene on combed DNA: a useful strategy for detecting large gene rearrangements. Genes Chromosomes Cancer 31:75–84. [DOI] [PubMed] [Google Scholar]
- Ganguly, A. , Citron M., Godmilow L., Ahrens M., and Ganguly T.. 2001. Caucasian family with two independent mutations 2594delC in BRCA1 and 5392delAG in BRCA2. Am. J. Med. Genet. 101:146–152. [DOI] [PubMed] [Google Scholar]
- Gershoni‐Baruch, R. , Dagan E., Kepten I., and Freid G.. 1997. Co segregation of BRCA1 185delAG mutation and BRCA2 6174delT in one single family. Eur. J. Cancer 33:2283–2284. [DOI] [PubMed] [Google Scholar]
- Gochhait, S. , Bukhari S. I., Bairwa N., et al. 2007. Implication of BRCA2‐26G>A 50 untranslated region polymorphism in susceptibility to sporadic breast cancer and its modulation by p53 codon 72 Arg‐Pro polymorphism. Breast Cancer Res. 9:R71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- van der Groep, P. , van der Wall E., and van Diest P. J.. 2011. Pathology of hereditary breast cancer. Cell Oncol. 34:71–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gutierrez‐Enriquez, S. , de la Hoya M., Martinez‐Bouzas C., et al. 2007. Screening for large rearrangements of the BRCA2 gene in Spanish families with breast/ovarian cancer. Breast Cancer Res. Treat. 103:103–107. [DOI] [PubMed] [Google Scholar]
- Gutierrez‐Enriquez, S. , Coderch V., Masas M., Balmaña J., and Diez O.. 2009. The variants BRCA1 IVS6‐1G>A and BRCA2 IVS15+1G>A lead to aberrant splicing of the transcripts. Breast Cancer Res. Treat. 117:461–465. [DOI] [PubMed] [Google Scholar]
- Hall, M. J. , Reid J. E., Burbidge L. A., et al. 2009. BRCA1 and BRCA2 mutations in women of different ethnicities undergoing testing for hereditary breast‐ovarian cancer. Cancer 115:2222–2233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hernández, J. E. , Llacuachaqui M., Palacio G. V., et al. 2014. Prevalence of BRCA1 and BRCA2 mutations in unselected breast cancer patients from Medellín, Colombia. Hered. Cancer Clin. Pract. 12:11–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hogervorst, F. B. , Nederlof P. M., Gille J. J., et al. 2003. Large genomics deletions and duplications in the BRCA1 gene identified by a novel quantitative method. Cancer Res. 63:1449–1453. [PubMed] [Google Scholar]
- Janavicius, R. 2010. Founder BRCA1/2 mutations in the Europe: implications for hereditary breast‐ovarian cancer prevention and control. EPMA J. 1:397–412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jaure, O. , Alonso E. N., Braico D. A., et al. 2015. BRCA1 polymorphism in breast cancer patients from Argentina. Oncol. Lett. 9:845–850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Judkins, T. , Rosenthal E., Arnell C., et al. 2012. Clinical significance of large rearrangements in BRCA1 and BRCA2. Cancer 118:5210–5216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karami, F. , and Mehdipour P.. 2013. A comprehensive focus on global spectrum of BRCA1 and BRCA2 mutations in breast cancer. Biomed. Res. Int. 2013:928562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim, E. , Goren A., and Ast G.. 2008. Alternative splicing: current perspectives. BioEssays 30:38–47. [DOI] [PubMed] [Google Scholar]
- Krawczak, M. , Reiss J., and Cooper D. N.. 1992. The mutational spectrum of single base‐pair substitutions in mRNA splice junctions of human genes: causes and consequences. Hum. Genet. 90:41–54. [DOI] [PubMed] [Google Scholar]
- Liede, A. , Rehal P., Vesprini D., Jack E., Abrahamson J., and Narod S. A.. 1998. A breast cancer patient of Scottish descent with germ line mutations in BRCA1 and BRCA2. Am. J. Hum. Genet. 62:1543–1544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lim, Y. K. , Lau P. T., Ali A. B., et al. 2007. Identification of novel BRCA large genomic rear‐rangements in Singapore Asian breast and ovarian patients with cancer. Clin. Genet. 71:331–342. [DOI] [PubMed] [Google Scholar]
- Malone, K. E. , Daling J. R., Doody D. R., Hsu L., Bernstein L., Coates R. J., et al. 2006. Prevalence and predictors of BRCA1 and BRCA2 mutations in a population‐based study of breast cancer in white and black American Women ages 35 to 64 years. Cancer Res. 66:8297–8308. [DOI] [PubMed] [Google Scholar]
- Meenakumari, B. , and Rajkumar T.. 2012. Analyzing BRCA1 variants of unknown significance by bioinformatics. J. Indian Inst. Sci. 92:321–332. [Google Scholar]
- Miller, S. A. , Dykes D. D., and Polesky H. F.. 1988. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res. 16:1215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Millot, G. A. , Berger A., Lejour V., et al. 2011. Assessment of human nter and cter BRCA1 mutations using growth and localization assays in yeast. Hum. Mutat. 32:1470–1480. [DOI] [PubMed] [Google Scholar]
- Moslehi, R. , Russo D., Phelan C., Jack E., Antman K., and Narod S.. 2000. An unaffected individual from a breast/ovarian cancer family with germline mutations in both BRCA1 and BRCA2. Clin. Genet. 57:70–73. [DOI] [PubMed] [Google Scholar]
- Nelson, A. C. , and Holt J. T.. 2010. Impact of RING and BRCT domain mutations on BRCA1 protein stability, localization and recruitment to DNA damage. Radiat. Res. 174:1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Palma, M. D. , Domchek S. M., Stopfer J., et al. 2008. The relative contribution of point mutations and genomic rearrangements in BRCA1 and BRCA2 in high‐risk breast cancer families. Cancer Res. 68:7006–7014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phelan, C. M. , Kwan E., Jack E., et al. 2002. A low frequency of non‐founder BRCA1 mutations in Ashkenazi Jewish breast‐ovarian cancer families. Hum. Mutat. 20:352–357. [DOI] [PubMed] [Google Scholar]
- Preisler‐Adams, S. , Schönbuchner I., Fiebig B., Welling B., Dworniczak B., and Weber B. H.. 2006. Gross rearrangements in BRCA1 but not BRCA2 play a notable role in predisposition to breast and ovarian cancer in high‐risk families of German origin. Cancer Genet. Cytogenet. 168:44–49. [DOI] [PubMed] [Google Scholar]
- Puget, N. , Sinilnikova O. M., Stoppa‐Lyonnet D., et al. 1999. An Alumediated 6‐kb duplication in the BRCA1 gene: a new founder mutation? Am. J. Hum. Genet. 64:300–302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ramos, W. , and Venegas D.. 2013. Analysis of the cancer situation in Peru (ASIS). Ministry of Health Peru. Available at http://www.dge.gob.pe/portal/docs/asis_cancer.pdf.
- Rubio Rodrigo, M. 2008. New contributions to the characterization of susceptibility genes in breast cancer (Thesis). Universidad de Salamanca.
- Sanchez, A. , Faundez P., and Carvallo P.. 2011. Genomic rearrangements of the BRCA1 gene in Chilean breast cancer families: an MLPA analysis. Breast Cancer Res. Treat. 128:845–853. [DOI] [PubMed] [Google Scholar]
- Sandoval, J. R. , Lacerda D. R., Jota M. S. A., et al. 2013. The genetic history of indigenous populations of the Peruvian and Bolivian Altiplano: the legacy of the Uros. PLoS ONE 8:e73006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scheuner, M. T. , McNeel T. S., and Freedman A. N.. 2010. Population prevalence of familial cancer and common hereditary cancer syndromes: the 2005 California health interview survey. Genet. Med. 12:726–735. [DOI] [PubMed] [Google Scholar]
- Silva, F. C. , Lisboa B. C., Figueiredo M. C., et al. 2014. Hereditary breast and ovarian cancer: assessment of point mutations and copy number variations in Brazilian patients. BMC Med. Genet. 15:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sluiter, M. D. , and van Rensburg E. J.. 2010. Large genomic rearrangements of the BRCA1 and BRCA2 genes: review of the literature and report of a novel BRCA1 mutation. Breast Cancer Res. Treat. 125:325–349. [DOI] [PubMed] [Google Scholar]
- Sluiter, M. D. , and van Rensburg E. J.. 2011. Large genomic rearrangements of the BRCA1 and BRCA2 genes: review of the literature and report of a novel BRCA1 mutation. Breast Cancer Res. Treat. 125:325–349. [DOI] [PubMed] [Google Scholar]
- Stoppa, L. D. , Fricker J. P., Essioux L., et al. 1996. Segregation of two BRCA1 in a single family. Am. J. Med. Genet. 59:479–481. [PMC free article] [PubMed] [Google Scholar]
- Tereschenko, I. V. , Basham V. M., Ponder B. A., and Pharoah P. D.. 2002. BRCA1 and BRCA2 mutations in Russian familial breast cancer. Hum. Mutat. 192:184–187. [DOI] [PubMed] [Google Scholar]
- Thorlacius, S. , Sigurdsson S., Bjarnadottir H., et al. 1997. Study of a single BRCA2 mutation with high carrier frequency in a small population. Am. J. Hum. Genet. 60:1079–1084. [PMC free article] [PubMed] [Google Scholar]
- Villarreal‐Garza, C. , Alvarez‐Gómez R. M., Pérez‐Plasencia C., et al. 2015. Significant clinical impact of recurrent BRCA1 and BRCA2 mutations in Mexico. Cancer 121:372–378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walsh, T. , Casadei S., Coats K. H., et al. 2006. Spectrum of mutations in BRCA1, BRCA2, CHEK2, and TP53 in families at high risk of breast cancer. JAMA 295:1379–1388. [DOI] [PubMed] [Google Scholar]
- Weitzel, J. N. , Lagos V., Blazer K. R., et al. 2005. Prevalence of BRCA mutations and founder effect in high‐risk Hispanic families. Cancer Epidemiol. Biomarkers Prev. 14:1666–1671. [DOI] [PubMed] [Google Scholar]
- Wong‐Brown, M. , McPhillips M., Hipwell M., et al. 2013. cDNA analysis of the BRCA1 unclassified variant c.5194‐12G>A. Clin. Genet. 84:505–506. [DOI] [PubMed] [Google Scholar]
- Woodward, A. M. , Davis T. A., Silva A. G. S., kConFab Investigators , Kirk J. A., and Leary J. A.. 2005. Large genomic rearrangements of both BRCA2 and BRCA1 are a feature of the inherited breast/ovarian cancer phenotype in selected families. J. Med. Genet. 42:e31. [DOI] [PMC free article] [PubMed] [Google Scholar]
