Detection Of Large Genomic Rearrangements Research Articles

Next-generation sequencing based detection of BRCA1 and BRCA2 large genomic rearrangements in Chinese cancer patients.

BRCA1/2 mutation is a biomarker for guiding multiple solid tumor treatment. However, the prevalence of BRCA1/2 large genomic rearrangements (LGRs) in Chinese cancer patients has not been well revealed partially due to technical difficulties in LGR detection. This study utilized next-generation sequencing (NGS) to analyze the BRCA1/2 mutation profile, including LGR, in 56126 Chinese cancer patients. We also reported that two ovarian and breast cancer patients with NGS-determined BRCA1/2 LGR benefited from PARP inhibitors (PARPi). DNA sequencing identified BRCA1/2 variants (including LGR, pathogenic and likely-pathogenic variants) in 2108 individuals. Seventy patients were discovered to harbor germline LGRs in BRCA1 and 14 had germline LGRs in BRCA2. Among the LGRs detected, exon 1-2 deletion was the predominant LGR (14/70) in BRCA1, and exon 22-24 deletion was the most frequent LGR (3/14) in BRCA2. Notably, the BRCA1 exon 7 deletion was a novel LGR and was identified in six patients, suggesting a specific LGR in Chinese cancer patients. The prevalence analysis of BRCA1 and BRCA2 LGRs across multiple cancers revealed that BRCA1 LGR more frequently occurred in ovarian cancer (1.31%, 33/2526), and BRCA2 LGR was more commonly seen in cholangiocarcinoma (0.47%, 2/425). Two ovarian and breast cancer patients with BRCA1/2 LGR benefited from PARPi therapy. This is the first study to reveal the BRCA1/2 LGR profile of a Chinese pan-cancer cohort by using an NGS-based assay. Two breast and ovarian cancer patients harboring NGS-determined BRCA1/2 LGR benefited from PARPi, indicating that NGS-based detection of BRCA1/2 LGR has the potential to guide PARPi treatment.

Abstract P5-13-29: Analytical and clinical validation of a ctDNA assay for detecting copy number loss and structural rearrangement variants contributing to homologous recombination and repair (HRR) deficiency

Abstract Background: Inactivating HRR gene mutations can lead to HRR deficiency (HRD) and predict response to PARPi therapy in patients with breast cancer. Copy number loss and large genomic rearrangements (LGR) can result in HRD but are challenging to detect in ctDNA. Here, we present the analytical validation of homozygous deletions, loss of heterozygosity (LoH) and LGR detection on the Guardant360 (G360) liquid biopsy panel, previously validated for detection of small variants, copy number amplifications, and fusions. We present real-world outcomes of BRCA1/2-mutant PARPi-treated patients to demonstrate the clinical validity of the detected variants. Methods: Analytical validation was performed using the G360 83-gene ctDNA panel. Cell line DNA and clinical patient cfDNA were titrated into matched normal cell line DNA or healthy donor cfDNA to establish the limit of detection (LoD) and precision for copy number loss and LGRs, respectively. Accuracy results were compared to those from an orthogonal, externally validated tissue and ctDNA panel. De-identified, longitudinal, claims data were linked to the cancer genomic profiles in Guardant INFORM, a clinical-genomics database. Advanced PARPi treated breast cancer patients with an inactivating or reversion BRCA1/2 mutation detected by G360 were assessed. Results: The analytical sensitivity (95% LoD) for detecting homozygous and LoH deletions for deletion sizes >10MB was established at tumor fractions (TF) of 12.5% and 25%, respectively. The 95% LoD for LGRs was 0.2% variant allele fraction (VAF). The per-sample false positive rate for copy number loss and LGRs was <0.5%. Prevalence of BRCA1/2 homozygous deletions, LoH and LGRs in >1000 advanced breast cancer patients was 1.8%, 16.6% and 0.25% respectively, compared to 2.4%, 56.7% and 0.3% in TCGA. To verify the clinical impact of cfDNA-detected HRR alterations, overall survival was determined for PARPi-treated patients with >1 BRCA1/2 germline or somatic SNV, indel or LGR reversion mutation to be 23.2 months [16.4, 30, CI, n=75] compared to 54.4 [28, NA, CI, n=14] months for BRCA1/2-mutant patients without a reversion (p-value=0.049). Conclusion:. This analytical validation demonstrates that G360 detection of inactivating mutations, including copy number loss and LGRs, is highly sensitive, reliable and robust. Real-world evidence analysis confirmed worse survival outcomes in PARPi treated patients harboring a BRCA1/2 reversion compared to BRCA1/2-mutant patients with no reversion. This data further supports ctDNA as a compelling non-invasive means to identify potential PARPi sensitizing and resistance mutations in patients with advanced breast cancer. Citation Format: Jennifer Yen, Leylah Drusbosky, Caroline Weipert, Nicole Zhang, David Hanna, Catalin Barbacioru, Hao Wang, Alex Artyomenko, Arielle Yablonovitch, Yu Fu, Aaron Hardin, Nagesh Alla, Robert Foley, Max Maligska, Bhargavi Panchangam, Phil Yen, Jane Meisel, Neelima Vidula, Massimo Cristofanilli, Jeremy Force, Michael Dorschner, Martina Lefterova, Elena Helman, Becky Nagy, Darya Chudova, AmirAli Talasaz. Analytical and clinical validation of a ctDNA assay for detecting copy number loss and structural rearrangement variants contributing to homologous recombination and repair (HRR) deficiency [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-13-29.

Next Generation Sequencing is a Reliable Tool for Detecting BRCA1/2 Mutations, Including Large Genomic Rearrangements

Next-generation sequencing (NGS) has been implemented as a rapid and cost-effective BRCA1/2 test strategy. The Oncomine™ BRCA Research Assay is an NGS-based tool for simultaneous detection of small-scale mutations and large genomic rearrangements (LGRs). We evaluated this NGS assay using different versions of Ion Reporter™ (IR) software. A total of 258 patients with breast, ovarian, primary peritoneal, and fallopian tube cancer, or a family history thereof, were enrolled in the study. The NGS assay was implemented for all samples, and the results were compared with those of Sanger sequencing and MLPA. All small-scale variations in Sanger sequencing were successfully detected by NGS assay. For the detection of LGRs, this assay showed 100% sensitivity from IR v5.10, and the latest version of the software (v5.16) showed the highest sensitivity and specificity. NGS with an appropriately updated workflow proved reliable for comprehensive BRCA1/2 gene testing, including LGR screening, which could facilitate efficient and accurate decision-making regarding treatment.

Droplet digital PCR for large genomic rearrangements detection: A promising strategy in tissue BRCA1 testing

Background and aimsWith the introduction of Olaparib as target therapy for High Grade Serous Ovarian Cancer (HGSOC) patients with germline and somatic BRCA1/2 mutations, the genetic test performed on tumor tissue has become important like the germline test. In somatic testing the evaluation of Large Genomic Rearrangements (LGRs) represents the main challenge. We describe a droplet digital PCR (ddPCR) assay for the evaluation of target BRCA1 LGRs on blood and formalin-fixed paraffin-embedded (FFPE)/Fresh Frozen Tissue (FFT) samples. Materials and methodsWe analyzed blood, FFPE and FFT samples in a validation setting of n = 78 HGSOC patients. We applied the ddPCR to BRCA1 exons 2, 20 and 21 as some of the most common BRCA1 exons involved in LGRs in our cohort of patients. ResultsThe ddPCR custom assays allowed the identification of LGRs in all sample types, including FFPE specimens. Moreover, we were able to clearly detect LGRs accounted as somatic event. ConclusionThe introduction of ddPCR in a comprehensive workflow, encompassing both germline and somatic tests, represents an improvement in BRCA1/2 testing. ddPCR can overcome challenges related to BRCA testing, especially on FFPE analysis. Finally, ddPCR represents a promising alternative strategy to the established standard methods currently used in clinical setting.

Abstract 4268: Technical validation of a NGS-based analysis pipeline for BRCA1/2 variants and large genomic rearrangements detection

Abstract Background Individual carrying germline mutations within BRCA1 or BRCA2 gene confers well-established increased risk of developing breast and ovarian cancers in the life-time than the general population. Recent advancement in clinical oncology and pharmacology discovered that poly ADP ribose polymerase (PARP) inhibitors are particularly effective in treating cancer that is homologous recombination deficient (HRD) through synthetic lethality, irrespective of the primary tumor site or the type of the BRCA1/2 inactivation variant. Methods A dedicated next-generation sequencing (NGS) panel was designed to interrogate the mutational status of BRCA1/2 and 18 other HRD-associated genes. Using a cohort of 522 clinical samples and artificially engineered cell line samples, we evaluated the mutation detection proficiency for single nucleotide variant (SNV) and small insertion or deletion (Indel) variants. BRCA1/2 inactivation is often the consequence of large genomic rearrangement (LGR) within the gene and phenotypically shown as exon-level copy number variant (CNV). Given the technical challenge of accurate exon-level CNV detection within a small panel, we developed a noise-reduction model based on a pool of normal (PON) samples for CNV result analysis. We further designed droplet digital polymerase chain reaction (ddPCR) for each exon of BRCA1/2 to verify the exonic CNV findings. Results Using a comparator assay as the gold standard, the BRCA1/2 panel achieved an accuracy of 96.7%, a precision of 98.9%, and a lower limit of detection of 3% variant allelic frequency (VAF) for SNV and Indel. The CNV pipeline achieved 97.8% sensitivity and 99.7% specificity for exonic CNV events that were supported by at least one piece of secondary evidence, out-performing publicly available software. The ddPCR verification further enhances assay accuracy and provides a significantly improved statistically confidence for the final CNV calls unparalleled by any other experimental methodologies. Conclusions Using a large cohort of clinical samples, the authors demonstrated the proficiency of a targeted NGS approach for variant and LGR detection of BRCA1/2 and the other genes of the DNA damage repair pathway. An effective method was developed to suppress the noise within the NGS-derived CNV profile, which is exaggerated by the small panel size and short targeted regions. The authors would also like to call the researcher's attention to a critical caveat within the CNV testing results generated from NGS-based methods. Citation Format: Xiangyuan Ma, Hua Bao, Zhili Chang, Yong Wu, Changwan Du, Rong Gao, Yu Song, Ryan S. Robetyore, Xue Wu, Yang W. Shao. Technical validation of a NGS-based analysis pipeline for BRCA1/2 variants and large genomic rearrangements detection [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4268.

Genetic Counseling, Testing, and Management of HBOC in India: An Expert Consensus Document from Indian Society of Medical and Pediatric Oncology.

PURPOSEHereditary breast and ovarian cancer (HBOC) syndrome is primarily characterized by mutations in the BRCA1/2 genes. There are several barriers to the implementation of genetic testing and counseling in India that may affect clinical decisions. These consensus recommendations were therefore convened as a collaborative effort to improve testing and management of HBOC in India.DESIGNRecommendations were developed by a multidisciplinary group of experts from the Indian Society of Medical and Pediatric Oncology and some invited experts on the basis of graded evidence from the literature and using a formal Delphi process to help reach consensus. PubMed and Google Scholar databases were searched to source relevant articles.RESULTSThis consensus statement provides practical insight into identifying patients who should undergo genetic counseling and testing on the basis of assessments of family and ancestry and personal history of HBOC. It discusses the need and significance of genetic counselors and medical professionals who have the necessary expertise in genetic counseling and testing. Recommendations elucidate requirements of pretest counseling, including discussions on genetic variants of uncertain significance and risk reduction options. The group of experts recommended single-site mutation testing in families with a known mutation and next-generation sequencing coupled with multiplex ligation probe amplification for the detection of large genomic rearrangements for unknown mutations. Recommendations for surgical and lifestyle-related risk reduction approaches and management using poly (ADP-ribose) polymerase inhibitors are also detailed.CONCLUSIONWith rapid strides being made in the field of genetic testing/counseling in India, more oncologists are expected to include genetic testing/counseling as part of their clinical practice. These consensus recommendations are anticipated to help homogenize genetic testing and management of HBOC in India for improved patient care.

Distinct clinical phenotype and genetic testing strategy for Lynch syndrome in China based on a large colorectal cancer cohort.

Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) predisposition syndrome. We performed a large-scale study to assess a screening strategy for identifying LS in Chinese CRC patients in routine clinical testing. A total of 4,195 eligible CRCs were universally screened. Then, 8.7% of CRCs were detected with dMMR. The incidence of LS was 2.7% (115 of 4,195) in this cohort; among patients over 70 years of age, only 0.3% (2 of 678) were diagnosed as LS. Then, 17.4% of LS cases showed large genomic deletions/duplications. LS probands developed CRCs predominantly at proximal colon location. The frequency of BRAF V600E mutation among Chinese CRCs was significantly lower than that among Western populations, and MLH1 promoter methylation significantly improved the efficiency of genetic screening for LS among MLH1-deficient patients. A comprehensive molecular testing strategy that includes detection of large genomic rearrangements is imperative for the diagnosis of LS. Among CRC patients aged 70 years or younger, a selective strategy for LS screening might be considered for routine clinical testing.

Detecting Large Germline Rearrangements of BRCA1 by Next Generation Tumor Sequencing

A majority of BRCA1/2 (BRCA) pathogenic variants (PVs) are single nucleotide substitutions or small insertions/deletions. Copy number variations (CNVs), also known as large genomic rearrangements (LGRs), have been identified in BRCA genes. LGRs detection is a mandatory analysis in hereditary breast and ovarian cancer families, if no predisposing PVs are found by sequencing. Next generation sequencing (NGS) may be used to detect structural variation, since quantitative analysis of sequencing reads, when coupled with appropriate bioinformatics tools, is capable of estimating and predicting germline LGRs (gLGRs). However, applying this approach to tumor tissue is challenging, and the pipelines for determination of CNV are yet to be optimized. The aim of this study was to validate the Next Generation Tumor Sequencing (NGTS) technology to detect various gLGRs of BRCA1 locus in surgical tumor tissue samples. In this study, seven different BRCA1 gLGRs, previously found in high-grade serous ovarian cancers (HGSOC) patients, were detected in tumor samples collected from the patients at a time of HGSOC surgery. This study demonstrated that NGS can accurately detect BRCA1 gLGRs in primary tumors, suggesting that gLGR evaluation in BRCA1 locus should be performed in cases when the screening for BRCA alterations starts from tumor instead of blood. NGS sequencing of tumor samples may become the preferred method to detect both somatic and germline gLGRs in BRCA-encoding loci.

A comprehensive BRCA1/2 NGS pipeline for an immediate Copy Number Variation (CNV) detection in breast and ovarian cancer molecular diagnosis

BackgroundThe aim of this study was to assess the ability of a Next Generation Sequencing (NGS)-based approach in the detection of BRCA1/2 Large Genomic Rearrangements (LGRs). MethodsWe investigated 287 consecutive unrelated Italian women affected by breast or ovarian cancer. A NGS pipeline with a reliable Copy number Variation (CNV) prediction algorithm was applied. In addition, all samples were investigated using MAQ (Multiplex Amplicon Quantification) assay, while the MLPA (Multiplex Ligation-dependent Probe Amplification) technique was used as alternative method if necessary. ResultsSmall pathogenic variants were identified in 80 samples. During NGS analysis, 11 samples were identified by Amplicon Suite Software (SmartSeq, Novara, Italy) as positive for large deletions or duplications. However, MAQ assay provided positive results in 19 patients. In particular, BRCA2 exon 25 deletion, not revealed by NGS CNV prediction algorithm, was detected in 8 unrelated women as false positive result. Sequencing analysis showed IVS24-113T/G (c.9257-113T>G) variant in 6 of these 8 patients, while the novel IVS24-129G>A (c.9257-129G>A) variant was detected in only two samples. DiscussionThe prevalence of large rearrangements in BRCA1/2 genes was the 12% of all disease-causing mutations detected in our patients. In particular, BRCA1 rearrangements were the 14.5% of all BRCA1 causing variants identified. Differently, BRCA2 large deletions were only the 6.9% of all mutations occurring in this gene. While MAQ assay showed 2,8% of false positive results, our integrative NGS-based approach fully satisfied the sensitivity and specificity parameters required on the BRCA1/2 LGRs detection. The workflow represents a robust and easy-to-use method for full BRCA1/2 screening, which can be easily implemented in routine diagnostic testing.

Comprehensive BRCA mutation analysis in the Greek population. Experience from a single clinical diagnostic center

Germline mutations in the BRCA1 and BRCA2 genes are associated with hereditary predisposition to breast and ovarian cancer. Sensitive and accurate detection of BRCA1 and BRCA2 mutations is crucial for personalized clinical management of individuals affected by breast or ovarian cancer, and for the identification of at-risk healthy relatives. We performed molecular analysis of the BRCA1 and BRCA2 genes in 898 Greek families, using Sanger sequencing or Next Generation Sequencing for the detection of small insertion/deletion frameshift, nonsynonymous, truncating and splice-site alterations and MLPA for the detection of large genomic rearrangements. In total, a pathogenic mutation was identified in 12.9% of 898 families analyzed. Of the 116 mutations identified in total 9% were novel and 14.7% were large genomic rearrangements. Our results indicate that different types of mutational events in the BRCA1 and BRCA2 genes are responsible for the hereditary component of breast/ovarian cancer in the Greek population. Therefore the methodology used in the analysis of Greek patients must be able to detect both point and small frameshift mutations in addition to large genomic rearrangements across the entire coding region of the two genes.

Detection of BRCA1 gross rearrangements by droplet digital PCR.

Large genomic rearrangements (LGRs) constitute a significant share of pathogenic BRCA1 mutations. Multiplex ligation-dependent probe amplification (MLPA) is a leading method for LGR detection; however, it is entirely based on the use of commercial kits, includes relatively time-consuming hybridization step, and is not convenient for large-scale screening of recurrent LGRs. We developed and validated the droplet digital PCR (ddPCR) assay, which covers the entire coding region of BRCA1 gene and is capable to precisely quantitate the copy number for each exon. 141 breast cancer (BC) patients, who demonstrated evident clinical features of hereditary BC but turned out to be negative for founder BRCA1/2 mutations, were subjected to the LGR analysis. Four patients with LGR were identified, with three cases of exon 8 deletion and one women carrying the deletion of exons 5-7. Excellent concordance with MLPA test was observed. Exon 8 copy number was tested in additional 720 BC and 184 ovarian cancer (OC) high-risk patients, and another four cases with the deletion were revealed; MLPA re-analysis demonstrated that exon 8 loss was a part of a larger genetic alteration in two cases, while the remaining two patients had isolated defect of exon 8. Long-range PCR and next generation sequencing of DNA samples carrying exon 8 deletion revealed two types of recurrent LGRs. Droplet digital PCR is a reliable tool for the detection of large genomic rearrangements.

Identification and Characterization of a New BRCA2 Rearrangement in an Italian Family with Hereditary Breast and Ovarian Cancer Syndrome.

Many studies document the involvement of BRCA1/2 gene rearrangements in genetic predisposition to breast and ovarian cancer. Large genomic rearrangements (LGRs) of BRCA1 account for 0-27% of all disease-causing mutations in various populations, while LGRs in BRCA2 are rarer. Here, we describe a novel BRCA2 LGR, involving the duplication of exons 4-26, in an Italian family with hereditary breast and ovarian cancer (HBOC) syndrome. Our purpose was to provide an effective characterization of this variant using a combination of different methods able to establish the exact breakpoints of the duplication. A multiplex amplicon quantification (MAQ) assay was used as the primary screening method in the detection of LGRs. Array comparative genomic hybridization (CGH), reverse transcriptase polymerase chain reaction (RT-PCR) and long-range PCR were used for the careful characterization of the rearrangement and breakpoint regions. The Repeat Masker program was employed to identify Alu sequences at breakpoint junctions. Array CGH and long-range PCR strategies revealed that the BRCA2 exons 4-26 duplication (g.12016_87170dup) involved exactly 75,154bp nucleotides between intron 3 and intron 26 of the gene. Given that no Alu repeats were found at the junction sites, we support the hypothesis that the new duplication could be the result of a microhomology-mediated event (MH) involving very short homologous sequences at an upstream breakpoint. LGR investigation is mandatory in BRCA1/2 routine testing in order to provide a complete result for a targeted therapeutic decision. Nevertheless, the characterization and classification of novel BRCA1/2 variants represents a crucial step in the support of genetic counselling. Our results, including a comprehensive co-segregation analysis, indicate that the novel duplication identifed has a pathogenic role and would be considered a causing-disease variant in genetic and oncologic counselling.

Competitive PCR-High Resolution Melting Analysis (C-PCR-HRMA) for large genomic rearrangements (LGRs) detection: A new approach to assess quantitative status of BRCA1 gene in a reference laboratory

Aim of the studyEvaluation of copy number variation (CNV) in BRCA1/2 genes, due to large genomic rearrangements (LGRs), is a mandatory analysis in hereditary breast and ovarian cancers families, if no pathogenic variants are found by sequencing. LGRs cannot be detected by conventional methods and several alternative methods have been developed. Since these approaches are expensive and time consuming, identification of alternative screening methods for LGRs detection is needed in order to reduce and optimize the diagnostic procedure. The aim of this study was to investigate a Competitive PCR-High Resolution Melting Analysis (C-PCR-HRMA) as molecular tool to detect recurrent BRCA1 LGRs. Material and methodsC-PCR-HRMA was performed on exons 3, 14, 18, 19, 20 and 21 of the BRCA1 gene; exons 4, 6 and 7 of the ALB gene were used as reference fragments. ResultsThis study showed that it is possible to identify recurrent BRCA1 LGRs, by melting peak height ratio between target (BRCA1) and reference (ALB) fragments. Furthermore, we underline that a peculiar amplicon-melting profile is associated to a specific BRCA1 LGR. All C-PCR-HRMA results were confirmed by Multiplex ligation-dependent probe amplification. ConclusionsC-PCR-HRMA has proved to be an innovative, efficient and fast method for BRCA1 LGRs detection. Given the sensitivity, specificity and ease of use, c-PCR-HRMA can be considered an attractive and powerful alternative to other methods for BRCA1 CNVs screening, improving molecular strategies for BRCA testing in the context of Massive Parallel Sequencing.

Pros and cons of HaloPlex enrichment in cancer predisposition genetic diagnosis

AbstractPanel sequencing is a practical option in genetic diagnosis. Enrichment and library preparation steps are critical in the diagnostic setting. In order to test the value of HaloPlex technology in diagnosis, we designed a custom oncogenetic panel including 62 genes. The procedure was tested on a training set of 71 controls and then blindly validated on 48 consecutive hereditary breast/ovarian cancer (HBOC) patients tested negative for BRCA1/2 mutation. Libraries were sequenced on HiSeq2500 and data were analysed with our academic bioinformatics pipeline. Point mutations were detected using Varscan2, median size indels were detected using Pindel and large genomic rearrangements (LGR) were detected by DESeq. Proper coverage was obtained. However, highly variable read depth was observed within genes. Excluding pseudogene analysis, all point mutations were detected on the training set. All indels were also detected using Pindel. On the other hand, DESeq allowed LGR detection but with poor specificity, preventing its use in diagnostics. Mutations were detected in 8% of BRCA1/2-negative HBOC cases. HaloPlex technology appears to be an efficient and promising solution for gene panel diagnostics. Data analysis remains a major challenge and geneticists should enhance their bioinformatics knowledge in order to ensure good quality diagnostic results.

CIRCUS: a package for Circos display of structural genome variations from paired-end and mate-pair sequencing data.

BackgroundDetection of large genomic rearrangements, such as large indels, duplications or translocations is now commonly achieved by next generation sequencing (NGS) approaches. Recently, several tools have been developed to analyze NGS data but the resulting files are difficult to interpret without an additional visualization step. Circos (Genome Res, 19:1639–1645, 2009), a Perl script, is a powerful visualization software that requires setting up numerous configuration files with a large number of parameters to handle. R packages like RCircos (BMC Bioinformatics, 14:244, 2013) or ggbio (Genome Biol, 13:R77, 2012) provide functions to display genomic data as circular Circos-like plots. However, these tools are very general and lack the functions needed to filter, format and adjust specific input genomic data.ResultsWe implemented an R package called CIRCUS to analyze genomic structural variations. It generates both data and configuration files necessary for Circos, to produce graphs. Only few R pre-requisites are necessary. Options are available to deal with heterogeneous data, various chromosome numbers and multi-scale analysis.ConclusionCIRCUS allows fast and versatile analysis of genomic structural variants with Circos plots for users with limited coding skills.

Advanced tools for BRCA1/2 mutational screening: comparison between two methods for large genomic rearrangements (LGRs) detection

Currently, multiplex ligation-dependent probe amplification (MLPA) is the most commonly used technique for the detection of large genomic rearrangements (LGRs) in the BRCA1/2 genes. However, a very fast assay, the BRCA1/2 multiplex amplicon quantification (MAQ), has been recently developed by Multiplicom. As no data regarding the application of MAQ method to BRCA1/2 genes are available in literature, here we compared for the first time the performance of the MAQ assay with MLPA by using several positive BRCA1/2 LGRs DNA samples (previously tested by MLPA). MAQ method was able to detect all BRCA1/2 LGRs and no false-positive or -negative results were obtained in independent repetitive experiments. We can affirm that MAQ, as well as MLPA method, results to be valid and reproducible tools for molecular diagnostics and we are confident that this assay can be used for BRCA1/2 mutational screening as a fast and safe alternative to MLPA, particularly in the first line of analysis.

Large genomic rearrangements of the BRCA1 and BRCA2 genes: review of the literature and report of a novel BRCA1 mutation

Germline mutations in BRCA1 and BRCA2 increase the risk for developing breast and ovarian cancer. Previously, the techniques available allowed only for the identification of small genomic alterations, but the dawn of new technology now allows for the rapid detection of large genomic rearrangements (LGRs). LGRs in BRCA1 are responsible for between 0 and 27% of all BRCA1 disease-causing mutations identified in numerous populations. Such alterations are far less common in the BRCA2 gene. To determine the impact of BRCA1 and BRCA2 LGRs in South Africa, 52 hereditary breast and/or ovarian South African families (36 were Afrikaners) were screened for BRCA1 and BRCA2 LGRs using multiplex ligation-dependent probe amplification. These patients were previously shown to be BRCA1 and BRCA2 small mutation negative. One LGR was detected in BRCA1 in a South African family with Greek ancestry. This is a novel deletion of both exons 23 and 24 (NG_005905.2:g.169527_180579del). This first study of BRCA rearrangements in South Africa reveals that LGRs comprise ~3% of identified BRCA1 mutations, a low rate in comparison to other populations. In addition, we have reviewed all 98 previously characterized BRCA1/2 LGRs and re-named them according to the recommended HGVS nomenclature, using the recently released RefSeqGene records, NG_005905.2 and NG_012772.1 for BRCA1 and BRCA2. A standardized resource is now provided which will assist researchers in determining whether their LGRs are novel. Furthermore, we have clarified some of the previously misunderstood rules of nomenclature, which will make uniform reporting of BRCA1/2 easier in the future.

Methods for routine diagnosis of genomic rearrangements: multiplex PCR-based methods and future perspectives

Germline and somatic genomic rearrangement play a relevant role in the pathogenesis of genetic disorders, and their identification is a fundamental task in molecular diagnosis. However, screening for structural genomic abnormalities is often not included in routine mutational analyses and consequently the proportion of rearrangements playing a pathogenic role in several genetic disorders is likely to be underestimated. A wide range of molecular techniques for the detection of large genomic rearrangements has been developed: some methods have the power to screen the whole genome, others are designed to analyze one or few loci that are known to be involved in a specific disease; some may detect balanced rearrangements, while others only unbalanced rearrangements; some are suitable for detection of germline abnormalities, yet others also detect somatic abnormalities. This review provides a brief summary of principles, applications and limitations of the methods available for the screening of genomic rearrangements, focusing on multiplex PCR-based protocols that are currently employed in routine detection of extended germline genomic deletions or duplications. Future developments based on microarray platforms and high-throughput sequencing are also discussed.

BRCA1 and BRCA2 Mutations in an Asian Clinic-based Population Detected Using a Comprehensive Strategy

Genetic testing for germ line mutations in the BRCA1 and BRCA2 genes for some families at high risk for breast and/or ovarian cancer may yield negative results due to unidentified mutations or mutations with unknown clinical significance. We aimed to accurately determine the prevalence of mutations in these genes in an Asian clinic-based population by using a comprehensive testing strategy. Ninety-four subjects from 90 families were accrued from risk assessment clinics. In addition to conventional mutational screening of BRCA1 and BRCA2, multiplex ligation-dependent probe amplification for the detection of large genomic rearrangements, evaluation of splice site alterations using transcript analysis and SpliceSiteFinder prediction, and analysis of missense mutations of unknown significance by multiple sequence alignment, PolyPhen analysis, and comparison of Protein Data Bank structures were incorporated into our testing strategy. The prevalence rates for clearly deleterious BRCA1 and BRCA2 mutations were 6.7% (6 of 90) and 8.9% (8 of 90), respectively, or 7.8% (7 of 90) and 11.1% (10 of 90), respectively, by including missense mutations predicted to be deleterious by computational analysis. In contrast to observations from European and American populations, deleterious mutations in BRCA2 (10 families) were more common than for BRCA1 (7 families). Overall, the frequency of mutations was 12.2% (n=11) by conventional screening. However, by including deleterious mutations detected using multiplex ligation-dependent probe amplification (n=1), transcript analysis (n=2), and computational evaluation of missense mutations (n=3), the frequency increased substantially to 18.9%. This suggests that the comprehensive strategy used is effective for identifying deleterious mutations in Asian individuals at high risk for breast and/or ovarian cancer.

Large genomic rearrangements in NIPBL are infrequent in Cornelia de Lange Syndrome

Cornelia de Lange Syndrome (CdLS) is a multiple congenital anomaly syndrome characterized by a distinctive facial appearance, malformations of the upper limbs, and delay in growth and development. Mutations in NIPBL are associated with CdLS in 27-56% of cases and have been reported as point mutations, small insertions and deletions in coding regions, regulatory regions and at splice junctions. All previous studies used PCR-based exon-scanning methodologies that do not allow detection of large genomic rearrangements. We studied the relative copy number of NIPBL exons in a series of 50 CdLS probands, negative for NIPBL mutations, by multiplex ligation-dependent probe amplification (MLPA). In a single patient, we found a 5.2 kb deletion encompassing exons 41-42 of NIPBL. Our studies indicate that large NIPBL rearrangements do occur in CdLS but are likely to be infrequent events.