1
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Pal T, Mundt E, Richardson ME, Chao E, Pesaran T, Slavin TP, Couch FJ, Monteiro ANA. Reduced penetrance BRCA1 and BRCA2 pathogenic variants in clinical germline genetic testing. NPJ Precis Oncol 2024; 8:247. [PMID: 39488595 PMCID: PMC11531542 DOI: 10.1038/s41698-024-00741-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 10/19/2024] [Indexed: 11/04/2024] Open
Abstract
Prior studies have suggested the existence of reduced penetrance pathogenic variants (RPPVs) in BRCA1 and BRCA2 (BRCA) which pose challenges for patient counseling and care. Here, we sought to establish RPPVs as a new category of variants. Candidate BRCA RPPVs provided by two large clinical diagnostic laboratories were compiled to identify those with the highest likelihood of being a RPPV, based on concordant interpretations. Sixteen concordant candidate BRCA RPPVs across both laboratories were systematically assessed. RPPVs included missense, splice site, and frameshift variants. Our study establishes RPPVs as a new class of variants imparting a moderately increased risk of breast cancer, which impacts risk-informed cancer prevention strategies, and provides a framework to standardize interpretation and reporting of BRCA RPPVs. Further work to define clinically meaningful risk thresholds and categories for reporting BRCA RPPVs is needed to personalize cancer risks in conjunction with other risk factors.
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Affiliation(s)
- Tuya Pal
- Department of Medicine, Vanderbilt-Ingram Cancer Center, University Medical Center, Vanderbilt University, Nashville, TN, USA.
| | - Erin Mundt
- Myriad Genetics, Salt Lake City, UT, USA
| | | | | | | | | | - Fergus J Couch
- Department of Laboratory Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Alvaro N A Monteiro
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA.
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2
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Li L, Tian X, Woodzell V, Gibbs RA, Yuan B, Venner E. Tracking updates in clinical databases increases efficiency for variant reanalysis. GENETICS IN MEDICINE OPEN 2024; 2:101841. [PMID: 39669589 PMCID: PMC11613846 DOI: 10.1016/j.gimo.2024.101841] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/13/2024] [Accepted: 03/15/2024] [Indexed: 12/14/2024]
Abstract
Purpose Variant interpretation, guided by American College of Medical Genetics and Genomics guidelines, can inform clinical decision-making. However, interpretations may change over time for a variety of reasons. Periodic reanalysis of previous variant interpretations is important to ensure that reported genetic findings remain accurate according to current knowledge. Methods We performed automated filtering by comparing ClinVar variants available in August 2020 with those from August 2021 to screen for potential reanalysis candidates from 3 projects. These variants were subsequently interpreted based on the American College of Medical Genetics and Genomics/Association for Molecular Pathology variant interpretation guideline or ClinGen revised gene-specific guidelines if applicable. Results Our method annotated 241 unique variants requiring reanalysis, from 3 projects containing 3,832,210 previously interpreted variants, including those filtered automatically. Among these 241 variants, 43 variants changed interpretation, including 55.81% (N = 24) with upgraded and 44.19% (N = 19) with downgraded classifications. An efficiency study showed that our strategy increased the reanalysis efficiency and saved reviewing time. Conclusion We demonstrated an effective high-throughput method, initiating from external data updates, to achieve variant reanalysis in a clinical laboratory. This filtering method reduced the number of variants that need to be reanalyzed, screened potential variants, and saved time and cost for clinical laboratories.
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Affiliation(s)
- Lele Li
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Xia Tian
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | | | - Richard A. Gibbs
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Bo Yuan
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Eric Venner
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
- Codified Genomics, Houston, TX
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3
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Meulemans L, Baert Desurmont S, Waill MC, Castelain G, Killian A, Hauchard J, Frebourg T, Coulet F, Martins A, Muleris M, Gaildrat P. Comprehensive RNA and protein functional assessments contribute to the clinical interpretation of MSH2 variants causing in-frame splicing alterations. J Med Genet 2022; 60:450-459. [PMID: 36113988 DOI: 10.1136/jmg-2022-108576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 08/26/2022] [Indexed: 11/04/2022]
Abstract
BackgroundSpliceogenic variants in disease-causing genes are often presumed pathogenic since most induce frameshifts resulting in loss of function. However, it was recently shown in cancer predisposition genes that some may trigger in-frame anomalies that preserve function. Here, we addressed this question by using MSH2, a DNA mismatch repair gene implicated in Lynch syndrome, as a model system.MethodsEighteen MSH2 variants, mostly localised within canonical splice sites, were analysed by using minigene splicing assays. The impact of the resulting protein alterations was assessed in a methylation tolerance-based assay. Clinicopathological characteristics of variant carriers were collected.ResultsThree in-frame RNA biotypes were identified based on variant-induced spliceogenic outcomes: exon skipping (E3, E4, E5 and E12), segmental exonic deletions (E7 and E15) and intronic retentions (I3, I6, I12 and I13). The 10 corresponding protein isoforms exhibit either large deletions (49–93 amino acids (aa)), small deletions (12 or 16 aa) or insertions (3–10 aa) within different functional domains. We showed that all these modifications abrogate MSH2 function, in agreement with the clinicopathological features of variant carriers.ConclusionAltogether, these data demonstrate that MSH2 function is intolerant to in-frame indels caused by the spliceogenic variants analysed in this study, supporting their pathogenic nature. This work stresses the importance of combining complementary RNA and protein approaches to ensure accurate clinical interpretation of in-frame spliceogenic variants.
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Affiliation(s)
- Laëtitia Meulemans
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Stéphanie Baert Desurmont
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, and CHU Rouen, Department of Genetics, F-76000 Rouen, France
| | - Marie-Christine Waill
- Department of Genetics, AP-HP.Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - Gaia Castelain
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Audrey Killian
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Julie Hauchard
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Thierry Frebourg
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, and CHU Rouen, Department of Genetics, F-76000 Rouen, France
| | - Florence Coulet
- Department of Genetics, AP-HP.Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- Inserm UMR-S 938, Centre de Recherche Saint-Antoine, CRSA, Paris, France
| | - Alexandra Martins
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Martine Muleris
- Department of Genetics, AP-HP.Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- Inserm UMR-S 938, Centre de Recherche Saint-Antoine, CRSA, Paris, France
| | - Pascaline Gaildrat
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
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4
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Zouk H, Yu W, Oza A, Hawley M, Vijay Kumar PK, Koch C, Mahanta LM, Harley JB, Jarvik GP, Karlson EW, Leppig KA, Myers MF, Prows CA, Williams MS, Weiss ST, Lebo MS, Rehm HL. Reanalysis of eMERGE phase III sequence variants in 10,500 participants and infrastructure to support the automated return of knowledge updates. Genet Med 2022; 24:454-462. [PMID: 34906510 PMCID: PMC10128874 DOI: 10.1016/j.gim.2021.10.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/31/2021] [Accepted: 10/15/2021] [Indexed: 12/26/2022] Open
Abstract
PURPOSE The clinical genomics knowledgebase is dynamic with variant classifications changing as newly identified cases, additional population data, and other evidence become available. This is a challenge for the clinical laboratory because of limited resource availability for variant reassessment. METHODS Throughout the Electronic Medical Records and Genomics phase III program, clinical sites associated with the Mass General Brigham/Broad sequencing center received automated, real-time notifications when reported variants were reclassified. In this study, we summarized the nature of these reclassifications and described the proactive reassessment framework we used for the Electronic Medical Records and Genomics program data set to identify variants most likely to undergo reclassification. RESULTS Reanalysis of 1855 variants led to the reclassification of 2% (n = 45) of variants, affecting 0.6% (n = 67) of participants. Of these reclassifications, 78% (n = 35) were high-impact changes affecting reportability, with 8 variants downgraded from likely pathogenic/pathogenic to variants of uncertain significance (VUS) and 27 variants upgraded from VUS to likely pathogenic/pathogenic. Most upgraded variants (67%) were initially classified as VUS-Favor Pathogenic, highlighting the benefit of VUS subcategorization. The most common reason for reclassification was new published case data and/or functional evidence. CONCLUSION Our results highlight the importance of periodic sequence variant reevaluation and the need for automated approaches to advance routine implementation of variant reevaluations in clinical practice.
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Affiliation(s)
- Hana Zouk
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Wanfeng Yu
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA
| | - Andrea Oza
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA
| | - Megan Hawley
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA
| | - Prathik K Vijay Kumar
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA
| | - Christopher Koch
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA
| | - Lisa M Mahanta
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA
| | - John B Harley
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; University of Cincinnati College of Medicine, Cincinnati, OH; US Department of Veteran Affairs Medical Center, Cincinnati, OH
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington School of Medicine, Seattle, WA
| | | | | | - Melanie F Myers
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; University of Cincinnati College of Medicine, Cincinnati, OH
| | - Cynthia A Prows
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | | | - Scott T Weiss
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Matthew S Lebo
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA; Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Heidi L Rehm
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA; Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
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5
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Ip E, McNeil C, Grimison P, Scheinberg T, Tudini E, Ho G, Scott RJ, Brown C, Sandroussi C, Guitera P, Spurdle AB, Goodwin A. Catastrophic chemotherapy toxicity leading to diagnosis of Fanconi anaemia due to FANCD1/BRCA2 during adulthood: description of an emerging phenotype. J Med Genet 2021; 59:912-915. [PMID: 34697207 DOI: 10.1136/jmedgenet-2021-108072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 09/07/2021] [Indexed: 11/03/2022]
Abstract
Fanconi anaemia due to biallelic loss of BRCA2 (Fanconi anaemia subtype D1) is traditionally diagnosed during childhood with cancer rates historically reported as 97% by 5.2 years. This report describes an adult woman with a history of primary ovarian failure, who was diagnosed with gastrointestinal adenocarcinoma and BRCA2-associated Fanconi anaemia at 23 years of age, only after she suffered severe chemotherapy toxicity. The diagnostic challenges include atypical presentation, initial false-negative chromosome fragility testing and variant classification. It highlights gastrointestinal adenocarcinoma as a consideration for adults with biallelic BRCA2 pathogenic variants with implications for surveillance. After over 4 years, the patient has no evidence of gastrointestinal cancer recurrence although the tumour was initially considered only borderline resectable. The use of platinum-based chemotherapy, to which heterozygous BRCA2 carriers are known to respond, may have had a beneficial anticancer effect, but caution is advised given its extreme immediate toxicity at standard dosing. Fanconi anaemia should be considered as a cause for women with primary ovarian failure of unknown cause and referral to cancer genetic services recommended when there is a family history of cancer in the hereditary breast/ovarian cancer spectrum.
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Affiliation(s)
- Emilia Ip
- Cancer Genetics, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Catriona McNeil
- Medical Oncology, Chris O'Brien Lifehouse, Camperdown, New South Wales, Australia.,Department of Medicine, The University of Sydney, Sydney, New South Wales, Australia
| | - Peter Grimison
- Medical Oncology, Chris O'Brien Lifehouse, Camperdown, New South Wales, Australia
| | - Tahlia Scheinberg
- Medical Oncology, Chris O'Brien Lifehouse, Camperdown, New South Wales, Australia.,Department of Medicine, The University of Sydney, Sydney, New South Wales, Australia.,Clinical Prostate Cancer Group, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Emma Tudini
- Department of Genetics and Computational Biology, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - Gladys Ho
- Western Sydney Genetics Program, Children's Hospital at Westmead, Westmead, New South Wales, Australia.,Discipline of Paediatrics and Child Health, University of Sydney, Sydney, New South Wales, Australia
| | - Rodney J Scott
- Division of Molecular Medicine, NSW Health Pathology, Newcastle, New South Wales, Australia.,School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Christina Brown
- Haematology Unit, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Charbel Sandroussi
- Department of Hepatobiliary and Upper Gastrointestinal Surgery, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Pascale Guitera
- Department of Medicine, The University of Sydney, Sydney, New South Wales, Australia.,Melanoma Institute Australia, North Sydney, New South Wales, Australia.,Dermatology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - Annabel Goodwin
- Cancer Genetics, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia .,Medical Oncology, Concord Repatriation General Hospital, Concord, New South Wales, Australia
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6
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Giles HH, Hegde MR, Lyon E, Stanley CM, Kerr ID, Garlapow ME, Eggington JM. The Science and Art of Clinical Genetic Variant Classification and Its Impact on Test Accuracy. Annu Rev Genomics Hum Genet 2021; 22:285-307. [PMID: 33900788 DOI: 10.1146/annurev-genom-121620-082709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Clinical genetic variant classification science is a growing subspecialty of clinical genetics and genomics. The field's continued improvement is essential for the success of precision medicine in both germline (hereditary) and somatic (oncology) contexts. This review focuses on variant classification for DNA next-generation sequencing tests. We first summarize current limitations in variant discovery and definition, and then describe the current five- and four-tier classification systems outlined in dominant standards and guideline publications for germline and somatic tests, respectively. We then discuss measures of variant classification discordance and the field's bias for positive results, as well as considerations for panel size and population screening in the context of estimates of positive predictive value thatincorporate estimated variant classification imperfections. Finally, we share opinions on the current state of variant classification from some of the authors of the most widely used standards and guideline publications and from other domain experts.
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Affiliation(s)
- Hunter H Giles
- Center for Genomic Interpretation, Sandy, Utah 84092, USA; , ,
| | - Madhuri R Hegde
- PerkinElmer Genomics, Waltham, Massachusetts 02450, USA; .,Department of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Elaine Lyon
- HudsonAlpha Clinical Services Lab, Huntsville, Alabama 35806, USA;
| | - Christine M Stanley
- C2i Genomics, Cambridge, Massachusetts 02139, USA.,Variantyx, Framingham, Massachusetts 01701, USA;
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7
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Truty R, Ouyang K, Rojahn S, Garcia S, Colavin A, Hamlington B, Freivogel M, Nussbaum RL, Nykamp K, Aradhya S. Spectrum of splicing variants in disease genes and the ability of RNA analysis to reduce uncertainty in clinical interpretation. Am J Hum Genet 2021; 108:696-708. [PMID: 33743207 PMCID: PMC8059334 DOI: 10.1016/j.ajhg.2021.03.006] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 03/02/2021] [Indexed: 12/20/2022] Open
Abstract
The complexities of gene expression pose challenges for the clinical interpretation of splicing variants. To better understand splicing variants and their contribution to hereditary disease, we evaluated their prevalence, clinical classifications, and associations with diseases, inheritance, and functional characteristics in a 689,321-person clinical cohort and two large public datasets. In the clinical cohort, splicing variants represented 13% of all variants classified as pathogenic (P), likely pathogenic (LP), or variants of uncertain significance (VUSs). Most splicing variants were outside essential splice sites and were classified as VUSs. Among all individuals tested, 5.4% had a splicing VUS. If RNA analysis were to contribute supporting evidence to variant interpretation, we estimated that splicing VUSs would be reclassified in 1.7% of individuals in our cohort. This would result in a clinically significant result (i.e., P/LP) in 0.1% of individuals overall because most reclassifications would change VUSs to likely benign. In ClinVar, splicing VUSs were 4.8% of reported variants and could benefit from RNA analysis. In the Genome Aggregation Database (gnomAD), splicing variants comprised 9.4% of variants in protein-coding genes; most were rare, precluding unambiguous classification as benign. Splicing variants were depleted in genes associated with dominant inheritance and haploinsufficiency, although some genes had rare variants at essential splice sites or had common splicing variants that were most likely compatible with normal gene function. Overall, we describe the contribution of splicing variants to hereditary disease, the potential utility of RNA analysis for reclassifying splicing VUSs, and how natural variation may confound clinical interpretation of splicing variants.
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Affiliation(s)
| | - Karen Ouyang
- Invitae, 1400 16th St, San Francisco, CA 94103, USA
| | - Susan Rojahn
- Invitae, 1400 16th St, San Francisco, CA 94103, USA
| | - Sarah Garcia
- Invitae, 1400 16th St, San Francisco, CA 94103, USA
| | | | | | | | | | - Keith Nykamp
- Invitae, 1400 16th St, San Francisco, CA 94103, USA
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8
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Utility of RNA Sequencing Analysis in the Context of Genetic Testing. CURRENT GENETIC MEDICINE REPORTS 2020. [DOI: 10.1007/s40142-020-00195-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Abstract
Purpose of Review
RNA analysis is beginning to be integrated into clinical laboratory genomics, and a review of its current uses and limitations is warranted. Here, we summarize the scope and utility of RNA analysis in the context of clinical genetic testing, including considerations for genetic counseling.
Recent Findings
RNA analysis is a powerful approach for interpreting some variants of uncertain significance, for analyzing splicing alterations, for providing additional functional evidence for sequence and structural variants, and for discovering novel variants. However, a review of RNA sequencing methods has noted variability in both laboratory processes and findings. Genetic counseling related to RNA analysis has to take into account nonstandardized laboratory processes, sample-type limitations, and differences in variant-interpretation outcomes.
Summary
RNA analysis is an important complement to DNA testing, although limitations still exist. Maximizing the utility of RNA analysis will require appropriate patient referrals and standardization of laboratory processes as the practice continues to expand the ability to identify and resolve molecular diagnoses.
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9
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Esterling L, Wijayatunge R, Brown K, Morris B, Hughes E, Pruss D, Manley S, Bowles KR, Ross TS. Impact of a Cancer Gene Variant Reclassification Program Over a 20-Year Period. JCO Precis Oncol 2020; 4:PO.20.00020. [PMID: 32923914 PMCID: PMC7469614 DOI: 10.1200/po.20.00020] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2020] [Indexed: 12/25/2022] Open
Abstract
PURPOSE Hereditary cancer genetic testing can inform personalized medical management for individuals at increased cancer risk. However, many variants in cancer predisposition genes are individually rare, and traditional tools may be insufficient to evaluate pathogenicity. This analysis presents data on variant classification and reclassification over a 20-year period. PATIENTS AND METHODS This is a retrospective analysis of > 1.9 million individuals who received hereditary cancer genetic testing from a single clinical laboratory (March 1997 to December 2017). Variant classification included review of evidence from traditional tools (eg, population frequency databases, literature) and laboratory-developed tools (eg, novel statistical methods, in-house RNA analysis) by a multidisciplinary expert committee. Variants may have been reclassified more than once and with more than one line of evidence. RESULTS In this time period, 62,842 unique variants were observed across 25 cancer predisposition genes, and 2,976 variants were reclassified. Overall, 82.1% of reclassification events were downgrades (eg, variant of uncertain significance [VUS] to benign), and 17.9% were upgrades (eg, VUS to pathogenic). Among reclassified variants, 82.8% were initially classified as VUS, and 47.5% were identified in ≤ 20 individuals (allele frequency ≤ 0.001%). Laboratory-developed tools were used in 72.3% of variant reclassification events, which affected > 600,000 individuals. More than 1.3 million patients were identified as carrying a variant that was reclassified within this 20-year time period. CONCLUSION The variant classification program used by the laboratory evaluated here enabled the reclassification of variants that were individually rare. Laboratory-developed tools were a key component of this program and were used in the majority of reclassifications. This demonstrates the importance of using robust and novel tools to reclassify rare variants to appropriately inform personalized medical management.
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10
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Bypass of premature stop codons and generation of functional BRCA2 by exon skipping. J Hum Genet 2020; 65:805-809. [PMID: 32393813 DOI: 10.1038/s10038-020-0768-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 04/08/2020] [Accepted: 04/21/2020] [Indexed: 11/08/2022]
Abstract
A pathogenic mutation in BRCA2 significantly increases the risk of breast and ovarian cancers making it imperative to examine the functional consequences of variants of uncertain clinical significance. Variants that are predicted to result in a truncated protein are unambiguously classified as pathogenic. We have previously shown how a pathogenic splice site variant known to generate a premature termination codon (PTC) in exon 9 and a nonsense mutation at exon 7, can generate functional BRCA2 by skipping exons 4-7 and restoring the reading frame. Using a well-established mouse embryonic stem cell-based assay, we functionally characterize here one splice site mutation and 11 pathogenic BRCA2 variants that are either nonsense mutation or generate PTC in different exons ranging from exons 4 to 7. Our study shows that five variants can restore the open reading frame by exon skipping and generate a functional protein. This suggests further need to exercise prudence when classifying clearly pathogenic variants.
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11
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Horton R, Lucassen A. Genomic testing in healthcare: a hybrid space where clinical practice and research need to co-exist. Expert Rev Mol Diagn 2019; 19:963-967. [PMID: 31603004 PMCID: PMC6817952 DOI: 10.1080/14737159.2019.1672540] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 09/23/2019] [Indexed: 01/05/2023]
Abstract
Introduction: Clinical practice and research are traditionally seen as distinct activities that are governed by different principles and processes. Innovative technologies such as genomic testing challenge this model, involving many activities that cannot be easily categorized as purely research, or purely clinical care. Areas covered: We discuss the interdependence of research and clinical practice in the context of genomics, for example, when determining the significance of rare genetic variants, or diagnosing newly described rare diseases. We highlight the potential of the symbiotic relationship between clinical practice and research. Expert opinion: In the context of genomics, it is not appropriate to treat clinical practice and research as entirely separable. Forcing binary categorization of activities as one or the other risks losing the many benefits that derive from their integration. We need to explore the hybrid area where clinical practice and research coincide, developing governance that allows us to maximize its potential, rather than insisting that hybrid clinical-research activities conform to processes built for 'pure clinical practice' or 'pure research'. We argue the need for a renegotiation of the contract around genomic testing, recognizing, valuing and facilitating the hybrid space where clinical practice and research co-exist.
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Affiliation(s)
- Rachel Horton
- Clinical Ethics and Law at Southampton (CELS), Faculty of Medicine, University of Southampton, UK
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, UK
| | - Anneke Lucassen
- Clinical Ethics and Law at Southampton (CELS), Faculty of Medicine, University of Southampton, UK
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, UK
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12
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Abstract
PURPOSE OF REVIEW Genomic tests offer increased opportunity for diagnosis, but their outputs are often uncertain and complex; results may need to be revised and/or may not be relevant until some future time. We discuss the challenges that this presents for consent and autonomy. RECENT FINDINGS Popular discourse around genomic testing tends to be strongly deterministic and optimistic, yet many findings from genomic tests are uncertain or unclear. Clinical conversations need to anticipate and potentially challenge unrealistic expectations of what a genomic test can deliver in order to enhance autonomy and ensure that consent to genomic testing is valid. SUMMARY We conclude that 'fully informed' consent is often not possible in the context of genomic testing, but that an open-ended approach is appropriate. We consider that such broad consent can only work if located within systems or organisations that are trustworthy and that have measures in place to ensure that such open-ended agreements are not abused. We suggest that a relational concept of autonomy has benefits in encouraging focus on the networks and relationships that allow decision making to flourish.
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Affiliation(s)
- Rachel Horton
- Clinical Ethics and Law at Southampton (CELS), Faculty of Medicine, University of Southampton, Centre for Cancer Immunology, Southampton General Hospital, Southampton, SO16 6YD UK
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, SO16 5YA UK
| | - Anneke Lucassen
- Clinical Ethics and Law at Southampton (CELS), Faculty of Medicine, University of Southampton, Centre for Cancer Immunology, Southampton General Hospital, Southampton, SO16 6YD UK
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, SO16 5YA UK
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Lopez-Perolio I, Leman R, Behar R, Lattimore V, Pearson JF, Castéra L, Martins A, Vaur D, Goardon N, Davy G, Garre P, García-Barberán V, Llovet P, Pérez-Segura P, Díaz-Rubio E, Caldés T, Hruska KS, Hsuan V, Wu S, Pesaran T, Karam R, Vallon-Christersson J, Borg A, Valenzuela-Palomo A, Velasco EA, Southey M, Vreeswijk MPG, Devilee P, Kvist A, Spurdle AB, Walker LC, Krieger S, de la Hoya M. Alternative splicing and ACMG-AMP-2015-based classification of PALB2 genetic variants: an ENIGMA report. J Med Genet 2019; 56:453-460. [PMID: 30890586 PMCID: PMC6591742 DOI: 10.1136/jmedgenet-2018-105834] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 01/10/2019] [Accepted: 02/06/2019] [Indexed: 11/04/2022]
Abstract
BACKGROUND PALB2 monoallelic loss-of-function germ-line variants confer a breast cancer risk comparable to the average BRCA2 pathogenic variant. Recommendations for risk reduction strategies in carriers are similar. Elaborating robust criteria to identify loss-of-function variants in PALB2-without incurring overprediction-is thus of paramount clinical relevance. Towards this aim, we have performed a comprehensive characterisation of alternative splicing in PALB2, analysing its relevance for the classification of truncating and splice site variants according to the 2015 American College of Medical Genetics and Genomics-Association for Molecular Pathology guidelines. METHODS Alternative splicing was characterised in RNAs extracted from blood, breast and fimbriae/ovary-related human specimens (n=112). RNAseq, RT-PCR/CE and CloneSeq experiments were performed by five contributing laboratories. Centralised revision/curation was performed to assure high-quality annotations. Additional splicing analyses were performed in PALB2 c.212-1G>A, c.1684+1G>A, c.2748+2T>G, c.3113+5G>A, c.3350+1G>A, c.3350+4A>C and c.3350+5G>A carriers. The impact of the findings on PVS1 status was evaluated for truncating and splice site variant. RESULTS We identified 88 naturally occurring alternative splicing events (81 newly described), including 4 in-frame events predicted relevant to evaluate PVS1 status of splice site variants. We did not identify tissue-specific alternate gene transcripts in breast or ovarian-related samples, supporting the clinical relevance of blood-based splicing studies. CONCLUSIONS PVS1 is not necessarily warranted for splice site variants targeting four PALB2 acceptor sites (exons 2, 5, 7 and 10). As a result, rare variants at these splice sites cannot be assumed pathogenic/likely pathogenic without further evidences. Our study puts a warning in up to five PALB2 genetic variants that are currently reported as pathogenic/likely pathogenic in ClinVar.
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Affiliation(s)
- Irene Lopez-Perolio
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Raphaël Leman
- Laboratory of Clinical Biology and Oncology, Centre François Baclesse, Inserm U1245 Genomics and Personalized Medicine in Cancer and Neurological Disorders, Normandy University, Caen, France
| | - Raquel Behar
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Vanessa Lattimore
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - John F Pearson
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Laurent Castéra
- Laboratory of Clinical Biology and Oncology, Centre François Baclesse, Inserm U1245 Genomics and Personalized Medicine in Cancer and Neurological Disorders, Normandy University, Caen, France
| | - Alexandra Martins
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, UNIROUEN, Normandie Université, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Dominique Vaur
- Laboratory of Clinical Biology and Oncology, Centre François Baclesse, Inserm U1245 Genomics and Personalized Medicine in Cancer and Neurological Disorders, Normandy University, Caen, France
| | - Nicolas Goardon
- Laboratory of Clinical Biology and Oncology, Centre François Baclesse, Inserm U1245 Genomics and Personalized Medicine in Cancer and Neurological Disorders, Normandy University, Caen, France
| | - Grégoire Davy
- Laboratory of Clinical Biology and Oncology, Centre François Baclesse, Inserm U1245 Genomics and Personalized Medicine in Cancer and Neurological Disorders, Normandy University, Caen, France
| | - Pilar Garre
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Vanesa García-Barberán
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Patricia Llovet
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Pedro Pérez-Segura
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Eduardo Díaz-Rubio
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Trinidad Caldés
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | | | | | - Sitao Wu
- Ambry Genetics, Aliso Viejo, CA, USA
| | | | | | - Johan Vallon-Christersson
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Ake Borg
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
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- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
| | - Alberto Valenzuela-Palomo
- Splicing and genetic susceptibility to cancer, Instituto de Biología y Genética Molecular (CSIC-UVa), Valladolid, Spain
| | - Eladio A Velasco
- Splicing and genetic susceptibility to cancer, Instituto de Biología y Genética Molecular (CSIC-UVa), Valladolid, Spain
| | - Melissa Southey
- Genetic Epidemiology Laboratory, Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Maaike P G Vreeswijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter Devilee
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Anders Kvist
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Amanda B Spurdle
- Molecular Cancer Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Logan C Walker
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Sophie Krieger
- Laboratory of Clinical Biology and Oncology, Centre François Baclesse, Inserm U1245 Genomics and Personalized Medicine in Cancer and Neurological Disorders, Normandy University, Caen, France
| | - Miguel de la Hoya
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
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Smith MJ, Woodward ER, Burghel GJ, Banks C, Morgan RD, Wallace AJ, Turnbull C, Evans DG. Rapid reversal of clinical down-classification of a BRCA1 splicing variant avoiding psychological harm. Clin Genet 2018; 95:532-533. [PMID: 30586678 DOI: 10.1111/cge.13488] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 11/27/2018] [Accepted: 11/28/2018] [Indexed: 11/30/2022]
Affiliation(s)
- Miriam J Smith
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.,Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Emma R Woodward
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.,Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - George J Burghel
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Catherine Banks
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | | | - Andrew J Wallace
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Clare Turnbull
- Public Health England, National Cancer Registration and Analysis Service, London, UK
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.,Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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15
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PKP2 and DSG2 genetic variations in Latvian arrhythmogenic right ventricular dysplasia/cardiomyopathy registry patients. Anatol J Cardiol 2018; 20:296-302. [PMID: 30391969 PMCID: PMC6280287 DOI: 10.14744/anatoljcardiol.2018.35984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Objective: The Latvian arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD-C) registry was established to determine the genetic background of ARVD-C for analyzing discovered genetic variation frequencies in the European and Latvian populations. Methods: In total, 38 patients with suspected ARVD-C were selected. The clinical parameters were defined according to the ARVD-C guidelines, PKP2 and DSG2 gene analysis was performed using the Sanger sequencing. Additionally, large deletions/duplications were analyzed using the multiplex ligation-dependent probe amplification (MLPA) analysis. Results: Twenty symptomatic patients were enrolled in the study. Typical ARVD abnormalities were found in electrocardiography for 10 (50%) patients, in Holter monitoring for 19 (95%), in transthoracic echocardiography for 20 (100%), and in cardiac magnetic resonance for 6 (30%). Different benign genetic variations were found. Three novel, unregistered, possibly benign variations were found in the PKP2 gene: c.2489+131G>A, c.2489+72delA, and c.1035-5T>C and three in the DSG2 gene: c.404G>A, c.1107G>A, and c.379-15A>G. Two genetic variations in the PKP2 gene: c.1592T>G, c.2489+1G>A are possibly pathogenic. For the first time, variation c.1592T>G, has been discovered in the homozygote form. Using the MLPA analysis, large deletions or duplications were not found. Conclusion: The prevalence of the majority of non-pathological genetic variations is similar in the Latvian ARVD-C patients and the European population. Possibly, pathogenic variations were found only in 10% of our registry patients, which could mean that PKP2 and DSG2 are not the most commonly affected genes in the Latvian population.
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16
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Turner SA, Rao SK, Morgan RH, Vnencak-Jones CL, Wiesner GL. The impact of variant classification on the clinical management of hereditary cancer syndromes. Genet Med 2018; 21:426-430. [PMID: 29875428 DOI: 10.1038/s41436-018-0063-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 05/03/2018] [Indexed: 11/09/2022] Open
Abstract
PURPOSE The reclassification of genetic variants poses a significant challenge for laboratories and clinicians. Variant review has resulted in the reclassification of variants of unknown significance as well as the reclassification of previously established pathogenic and likely pathogenic variants. These reclassifications have the potential to alter the clinical management of patients with hereditary cancer syndromes. METHODS Results were reviewed for 1694 patients seen for hereditary cancer evaluation between August 2012 and May 2017 to determine the frequency and types of variant reclassification. Patients with reclassifications with high potential for impact were monitored for alterations in organ surveillance, prophylactic surgery, and cascade testing. RESULTS One hundred forty-two variants were reclassified representing 124/1694 (7.3%) patients; 11.3% of reclassifications (16/142) had a high potential for clinical impact with 94% (15/16) altering clinical management of patients with 56% (9/16) changing multiple areas of management. CONCLUSION While reclassifications are rare, the impact on clinical management is profound. In many cases, patients with downgraded pathogenic/likely pathogenic variants had years of unnecessary organ surveillance and underwent unneeded surgical intervention. In addition, cascade testing misidentified those at risk for developing cancers, thereby altering the management across generations. The frequency and types of alterations to clinical management highlight the need for timely variant reclassification.
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Affiliation(s)
- Scott A Turner
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
| | - Smita K Rao
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - R Hayes Morgan
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Cindy L Vnencak-Jones
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Georgia L Wiesner
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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17
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Nakagomi H, Mochizuki H, Inoue M, Hirotsu Y, Amemiya K, Sakamoto I, Nakagomi S, Kubota T, Omata M. Combined annotation-dependent depletion score for BRCA1/2 variants in patients with breast and/or ovarian cancer. Cancer Sci 2018; 109:453-461. [PMID: 29215753 PMCID: PMC5797818 DOI: 10.1111/cas.13464] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 11/19/2017] [Accepted: 12/01/2017] [Indexed: 01/19/2023] Open
Abstract
Utility of combined annotation‐dependent depletion (CADD) score was recently reported to rank pathogenicity as C‐scores ranging 1‐99 for both confirmed deleterious mutation. Using C‐scores for BRCA1/2 variants, we tried to constitute the classification system for variant of uncertain significance (VUS), which had been a major problem of genetic testing for hereditary breast and/or ovarian cancer. We analyzed BRCA1/2 genes for 283 patients with breast and/or ovarian cancer. The deleterious mutation and missesne mutations, minor variant, and wild type of BRCA1 and ‐2 were 5, 27, 251 and 15, 85, 183, respectively. Meanwhile, the variants with C‐score ≥10 were involved in 19/283 (6.7%) in BRCA1 and 34/283 (12%) in BRCA2. All deleterious mutations were included in this group. Frequency of personal history and family history of ovarian cancer were significantly high, and frequency of serous adenocarcinoma of ovary and triple negative breast cancer was relatively high in the group with deleterious mutations. Similar findings were seen in patients with variants of C‐score ≥10. According to the C‐score and population frequency, we could define VUS for 11 patients out of 283 patients (3.9 CADD is useful to classify the variant of BRCA1/2 and selecting the patient who needs further segregation studies.
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Affiliation(s)
- Hiroshi Nakagomi
- Department of Breast Surgery, Yamanashi Central Hospital, Kofu, Japan
| | - Hitoshi Mochizuki
- Genome Analysis Center, Department of Gynecology, Yamanashi Central Hospital, Kofu, Japan
| | - Masayuki Inoue
- Department of Breast Surgery, Yamanashi Central Hospital, Kofu, Japan
| | - Yosuke Hirotsu
- Genome Analysis Center, Department of Gynecology, Yamanashi Central Hospital, Kofu, Japan
| | - Kenji Amemiya
- Genome Analysis Center, Department of Gynecology, Yamanashi Central Hospital, Kofu, Japan
| | - Ikuko Sakamoto
- Department of Gynecology, Yamanashi Central Hospital, Kofu, Japan
| | - Satoko Nakagomi
- Graduate School of Interdisciplinary Research, University of Yamanashi, Kofu, Japan
| | - Takeo Kubota
- Department of Child Studies, Seitoku University, Tokyo, Japan
| | - Masao Omata
- Genome Analysis Center, Department of Gynecology, Yamanashi Central Hospital, Kofu, Japan.,University of Tokyo, Tokyo, Japan
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18
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Carrieri D, Dheensa S, Doheny S, Clarke AJ, Turnpenny PD, Lucassen AM, Kelly SE. Recontacting in clinical practice: the views and expectations of patients in the United Kingdom. Eur J Hum Genet 2017; 25:1106-1112. [PMID: 28766552 PMCID: PMC5602023 DOI: 10.1038/ejhg.2017.122] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 06/14/2017] [Accepted: 06/27/2017] [Indexed: 12/17/2022] Open
Abstract
This paper explores the views and expectations of patients concerning recontacting in clinical practice. It is based on 41 semi-structured interviews conducted in the United Kingdom. The sample comprised patients or parents of patients: without a diagnosis; recently offered a test for a condition or carrier risk; with a rare condition; with a variant of unknown significance - some of whom had been recontacted. Participants were recruited both via the National Health Service (NHS) and through online, condition-specific support groups. Most respondents viewed recontacting as desirable, however there were different opinions and expectations about what type of new information should trigger recontacting. An awareness of the potential psychological impact of receiving new information led some to suggest that recontacting should be planned, and tailored to the nature of the new information and the specific situation of patients and families. The lack of clarity about lines of responsibility for recontacting and perceptions of resource constraints in the NHS tended to mitigate respondents' favourable positions towards recontacting and their preferences. Some respondents argued that recontacting could have a preventative value and reduce the cost of healthcare. Others challenged the idea that resources should be used to implement formalised recontacting systems - via arguments that there are 'more pressing' public health priorities, and for the need for healthcare services to offer care to new patients.
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Affiliation(s)
| | - Sandi Dheensa
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Shane Doheny
- School of Medicine, Cardiff University, Cardiff, UK
| | | | | | - Anneke M Lucassen
- Faculty of Medicine, University of Southampton, Southampton, UK
- Wessex Clinical Genetics Service, University Hospitals Southampton NHS Foundation Trust, Southampton, UK
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19
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Lincoln SE, Yang S, Cline MS, Kobayashi Y, Zhang C, Topper S, Haussler D, Paten B, Nussbaum RL. Consistency of BRCA1 and BRCA2 Variant Classifications Among Clinical Diagnostic Laboratories. JCO Precis Oncol 2017; 1:PO.16.00020. [PMID: 28782058 PMCID: PMC5542009 DOI: 10.1200/po.16.00020] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Genetic tests of the cancer predisposition genes BRCA1 and BRCA2 inform significant clinical decisions for both physicians and patients. Most uncovered variants are benign, and determining which few are pathogenic (disease-causing) is sometimes challenging and can potentially be inconsistent among laboratories. The ClinVar database makes de-identified clinical variant classifications from multiple laboratories publicly available for comparison and review, per recommendations of the American Medical Association (AMA), the American College of Medical Genetics (ACMG), the National Society for Genetic Counselors (NSGC), and other organizations. METHODS Classifications of more than 2000 BRCA1/2 variants in ClinVar representing approximately 22,000 patients were dichotomized as clinically actionable or not actionable and compared across up to seven laboratories. The properties of these variants and classification differences were investigated in detail. RESULTS Per-variant concordance was 98.5% (CI 97.9%-99.0%). All discordant variants were rare; thus, per patient concordance was estimated to be higher: 99.7%. ClinVar facilitated resolution of many of the discordant variants, and concordance increased to 99.0% per variant and 99.8% per patient when reclassified (but not yet resubmitted) variants and submission errors were addressed. Most of the remaining discordances appeared to involve either legitimate differences in expert judgment regarding particular scientific evidence, or were classifications that predated availability of important scientific evidence. CONCLUSIONS Significant classification disagreements among the professional clinical laboratories represented in ClinVar are infrequent yet important. The unrestricted sharing of clinical genetic data allows detailed interlaboratory quality control and peer review, as exemplified by this study.
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Affiliation(s)
- Stephen E. Lincoln
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
| | - Shan Yang
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
| | - Melissa S. Cline
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
| | - Yuya Kobayashi
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
| | - Can Zhang
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
| | - Scott Topper
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
| | - David Haussler
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
| | - Benedict Paten
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
| | - Robert L. Nussbaum
- Stephen E. Lincoln, Shan Yang, Yuya Kobayashi, and Scott Topper, Invitae; Robert L. Nussbaum, University of California, San Francisco, San Francisco; and Melissa S. Cline, Can Zhang, David Haussler, and Benedict Paten, University of California, Santa Cruz, Santa Cruz, CA
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20
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Byrjalsen A, Steffensen AY, Hansen TVO, Wadt K, Gerdes AM. Classification of the spliceogenic BRCA1 c.4096+3A>G variant as likely benign based on cosegregation data and identification of a healthy homozygous carrier. Clin Case Rep 2017; 5:876-879. [PMID: 28588830 PMCID: PMC5458035 DOI: 10.1002/ccr3.944] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 12/06/2016] [Accepted: 03/13/2017] [Indexed: 12/16/2022] Open
Abstract
BRCA1, c.4096+3A>G was identified in a consanguineous Danish family with several cases of breast/ovarian cancer. In silico analysis and splicing assays indicated that the variant caused aberrant splicing. However, based on segregation data and the finding of a healthy homozygous carrier, we classify the BRCA1 c.4096+3A>G variant as likely benign.
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Affiliation(s)
- Anna Byrjalsen
- Department of Clinical Genetics Copenhagen University Hospital Copenhagen Denmark
| | - Ane Y Steffensen
- Center for Genomic Medicine Copenhagen University Hospital Copenhagen Denmark
| | - Thomas V O Hansen
- Center for Genomic Medicine Copenhagen University Hospital Copenhagen Denmark
| | - Karin Wadt
- Department of Clinical Genetics Copenhagen University Hospital Copenhagen Denmark
| | - Anne-Marie Gerdes
- Department of Clinical Genetics Copenhagen University Hospital Copenhagen Denmark
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21
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Recontacting in clinical practice: an investigation of the views of healthcare professionals and clinical scientists in the United Kingdom. Eur J Hum Genet 2017; 25:275-279. [PMID: 28051074 PMCID: PMC5315519 DOI: 10.1038/ejhg.2016.188] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 11/16/2016] [Accepted: 11/22/2016] [Indexed: 11/08/2022] Open
Abstract
This article explores the views and experiences of healthcare professionals and clinical scientists in genetics about the existence of a duty and/or responsibility to recontact former patients when the genetic information relevant to their health, or that of family members, changes in a potentially important manner. It is based on N=30 semi-structured interviews guided by vignettes of recontacting scenarios. The sample included healthcare professionals in the United Kingdom from different medical specialties (clinical genetics, other 'mainstream' specialties now offering genetic testing), and scientists from regional genetics laboratories. While viewing recontacting as desirable under certain circumstances, most respondents expressed concerns about its feasibility within the current constraints of the National Health Service (NHS). The main barriers identified were insufficient resources (time, staff, and suitable IT infrastructures) and lack of clarity about role boundaries and responsibilities. All of these are further complicated by genetic testing being increasingly offered by mainstream specialties. Reaching a consensus about roles and responsibilities of clinical specialties with regard to recontacting former patients in the light of evolving genetic information, and about what resources and infrastructures would be needed, was generally seen as a pre-requisite to developing guidelines about recontact.
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22
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de la Hoya M, Soukarieh O, López-Perolio I, Vega A, Walker LC, van Ierland Y, Baralle D, Santamariña M, Lattimore V, Wijnen J, Whiley P, Blanco A, Raponi M, Hauke J, Wappenschmidt B, Becker A, Hansen TVO, Behar R, Investigators KC, Niederacher D, Arnold N, Dworniczak B, Steinemann D, Faust U, Rubinstein W, Hulick PJ, Houdayer C, Caputo SM, Castera L, Pesaran T, Chao E, Brewer C, Southey MC, van Asperen CJ, Singer CF, Sullivan J, Poplawski N, Mai P, Peto J, Johnson N, Burwinkel B, Surowy H, Bojesen SE, Flyger H, Lindblom A, Margolin S, Chang-Claude J, Rudolph A, Radice P, Galastri L, Olson JE, Hallberg E, Giles GG, Milne RL, Andrulis IL, Glendon G, Hall P, Czene K, Blows F, Shah M, Wang Q, Dennis J, Michailidou K, McGuffog L, Bolla MK, Antoniou AC, Easton DF, Couch FJ, Tavtigian S, Vreeswijk MP, Parsons M, Meeks HD, Martins A, Goldgar DE, Spurdle AB. Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms. Hum Mol Genet 2016; 25:2256-2268. [PMID: 27008870 PMCID: PMC5081057 DOI: 10.1093/hmg/ddw094] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 02/10/2016] [Accepted: 03/17/2016] [Indexed: 12/13/2022] Open
Abstract
A recent analysis using family history weighting and co-observation classification modeling indicated that BRCA1 c.594-2A > C (IVS9-2A > C), previously described to cause exon 10 skipping (a truncating alteration), displays characteristics inconsistent with those of a high risk pathogenic BRCA1 variant. We used large-scale genetic and clinical resources from the ENIGMA, CIMBA and BCAC consortia to assess pathogenicity of c.594-2A > C. The combined odds for causality considering case-control, segregation and breast tumor pathology information was 3.23 × 10-8 Our data indicate that c.594-2A > C is always in cis with c.641A > G. The spliceogenic effect of c.[594-2A > C;641A > G] was characterized using RNA analysis of human samples and splicing minigenes. As expected, c.[594-2A > C; 641A > G] caused exon 10 skipping, albeit not due to c.594-2A > C impairing the acceptor site but rather by c.641A > G modifying exon 10 splicing regulatory element(s). Multiple blood-based RNA assays indicated that the variant allele did not produce detectable levels of full-length transcripts, with a per allele BRCA1 expression profile composed of ≈70-80% truncating transcripts, and ≈20-30% of in-frame Δ9,10 transcripts predicted to encode a BRCA1 protein with tumor suppression function.We confirm that BRCA1c.[594-2A > C;641A > G] should not be considered a high-risk pathogenic variant. Importantly, results from our detailed mRNA analysis suggest that BRCA-associated cancer risk is likely not markedly increased for individuals who carry a truncating variant in BRCA1 exons 9 or 10, or any other BRCA1 allele that permits 20-30% of tumor suppressor function. More generally, our findings highlight the importance of assessing naturally occurring alternative splicing for clinical evaluation of variants in disease-causing genes.
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Affiliation(s)
- Miguel de la Hoya
- Molecular Oncology Laboratory, Instituto de Investigacion Sanitaria San Carlos (IdISSC), Hospital Clinico San Carlos, Madrid, Spain
| | - Omar Soukarieh
- Inserm U1079-IRIB, University of Rouen, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Irene López-Perolio
- Molecular Oncology Laboratory, Instituto de Investigacion Sanitaria San Carlos (IdISSC), Hospital Clinico San Carlos, Madrid, Spain
| | - Ana Vega
- Fundacion Publica Galega de Medicina Xenómica-SERGAS Grupo de Medicina Xenómica-USC, IDIS, CIBERER, Santiago de Compostela 15706, Spain
| | - Logan C Walker
- Department of Pathology, University of Otago, Christchurch 8140, New Zealand
| | - Yvette van Ierland
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden 2300, The Netherlands
| | - Diana Baralle
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton S016 5YA, UK
| | - Marta Santamariña
- CIBERER, Grupo de Medicina Xenómica-USC, Universidade de Santiago de Compostela, Fundacion Galega de Medicina Xenómica (SERGAS), Santiago de Compostela 15706, Spain
| | - Vanessa Lattimore
- Department of Pathology, University of Otago, Christchurch 8140, New Zealand
| | - Juul Wijnen
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden 2300, The Netherlands Department of Clinical Genetics, Leiden University Medical Centre, Leiden 2300, The Netherlands
| | - Philip Whiley
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Ana Blanco
- Fundacion Publica Galega de Medicina Xenómica-SERGAS Grupo de Medicina Xenómica-USC, IDIS, CIBERER, Santiago de Compostela 15706, Spain
| | - Michela Raponi
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton S016 5YA, UK
| | - Jan Hauke
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hosptial Cologne, Cologne 50931, Germany
| | - Barbara Wappenschmidt
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hosptial Cologne, Cologne 50931, Germany
| | - Alexandra Becker
- Center for Hereditary Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University Hosptial Cologne, Cologne 50931, Germany
| | - Thomas V O Hansen
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen DK-2100, Denmark
| | - Raquel Behar
- Molecular Oncology Laboratory, Instituto de Investigacion Sanitaria San Carlos (IdISSC), Hospital Clinico San Carlos, Madrid, Spain
| | - KConFaB Investigators
- Peter MacCallum Cancer Center, University of Melbourne, Melbourne, VIC 3002, Australia
| | - Diether Niederacher
- Department of Gynaecology and Obstetrics, University Hospital Düsseldorf, Heinrich-Heine University Düsseldorf, Düsseldorf 40225, Germany
| | - Norbert Arnold
- Department of Gynaecology and Obstetrics, University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Kiel 24105, Germany
| | - Bernd Dworniczak
- Institute of Human Genetics, University of Münster, Münster 48149, Germany
| | - Doris Steinemann
- Institute of Human Genetics, Hannover Medical School, Hannover 30625, Germany
| | - Ulrike Faust
- Institute of Medical Genetics and Applied Genomics, University Hospital Tuebingen, Tuebingen 72076, Germany
| | | | - Peter J Hulick
- Center for Medical Genetics, NorthShore University Health System, University of Chicago Pritzker School of Medicine, Evanston, IL 60201, USA
| | - Claude Houdayer
- Service de Génétique, Department de Biologie des Tumeurs, Institut Curie and INSERM U830, Centre de Recherche de l'Institut Curie, Paris, and Universite Paris Descartes, Sorbonne Paris Cite, Paris 75248, France
| | - Sandrine M Caputo
- Service de Génétique, Department de Biologie des Tumeurs, Institut Curie, Paris 75248, France
| | - Laurent Castera
- Centre Francois Baclesse, Laboratoire de Biologie et de Genetique du Cancer, 14076 Caen, Paris 75248, France
| | | | | | - Carole Brewer
- Department of Clinical Genetics, Royal Devon and Exeter Hospital, Exeter, UK
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden 2300, The Netherlands
| | - Christian F Singer
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria, Waehringer Guertel 18-20, A 1090 Vienna, Austria
| | - Jan Sullivan
- Genetic Health Service NZ, South Island Hub, Christchurch Hospital, Christchurch 8140, New Zealand
| | - Nicola Poplawski
- Adult Genetics Unit, South Australian Clinical Genetics Service, SA Pathology at the Women's and Children's Hospital, North Adelaide, SA 5067, Australia University Department of Paediatrics, University of Adelaide, North Terrace, Adelaide, SA 5000, Australia
| | - Phuong Mai
- Clinical Genetics Branch, DCEG, NCI, NIH, Bethesda, MD, USA
| | - Julian Peto
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Nichola Johnson
- Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London SW3 6JB, UK Division of Breast Cancer Research, Institute of Cancer Research, London SW3 6JB, UK
| | - Barbara Burwinkel
- Molecular Biology of Breast Cancer, Department of Gynecology and Obstetrics, University of Heidelberg, Heidelberg 69120, Germany Molecular Epidemiology Group, German Cancer Research Center, DKFZ, Heidelberg 69120, Germany
| | - Harald Surowy
- Molecular Biology of Breast Cancer, Department of Gynecology and Obstetrics, University of Heidelberg, Heidelberg 69120, Germany Molecular Epidemiology Group, German Cancer Research Center, DKFZ, Heidelberg 69120, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen 2730, Denmark Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev 2730, Denmark Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 1165, Denmark
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Denmark
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Sara Margolin
- Department of Oncology Pathology, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Paolo Radice
- Unit of "Molecular bases of genetic risk and genetic testing", Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano 20139, Italy
| | - Laura Galastri
- Associazione Volontari Italiani Sangue (AVIS) comunale di Milano, Milano 20139, Italy
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Emily Hallberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, VIC 3010, Australia Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, VIC 3010, Australia Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada Department of Molecular Genetics, University of Toronto, M5B 1W8, Canada
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Fiona Blows
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, 1683, Nicosia, Cyprus
| | - Lesley McGuffog
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Fergus J Couch
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Maaike P Vreeswijk
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden 2300, The Netherlands
| | - Michael Parsons
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | | | - Alexandra Martins
- Inserm U1079-IRIB, University of Rouen, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
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23
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Vallée MP, Di Sera TL, Nix DA, Paquette AM, Parsons MT, Bell R, Hoffman A, Hogervorst FBL, Goldgar DE, Spurdle AB, Tavtigian SV. Adding In Silico Assessment of Potential Splice Aberration to the Integrated Evaluation of BRCA Gene Unclassified Variants. Hum Mutat 2016; 37:627-39. [PMID: 26913838 PMCID: PMC4907813 DOI: 10.1002/humu.22973] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 01/29/2016] [Indexed: 01/05/2023]
Abstract
Clinical mutation screening of the cancer susceptibility genes BRCA1 and BRCA2 generates many unclassified variants (UVs). Most of these UVs are either rare missense substitutions or nucleotide substitutions near the splice junctions of the protein coding exons. Previously, we developed a quantitative method for evaluation of BRCA gene UVs—the “integrated evaluation”—that combines a sequence analysis‐based prior probability of pathogenicity with patient and/or tumor observational data to arrive at a posterior probability of pathogenicity. One limitation of the sequence analysis‐based prior has been that it evaluates UVs from the perspective of missense substitution severity but not probability to disrupt normal mRNA splicing. Here, we calibrated output from the splice‐site fitness program MaxEntScan to generate spliceogenicity‐based prior probabilities of pathogenicity for BRCA gene variants; these range from 0.97 for variants with high probability to damage a donor or acceptor to 0.02 for exonic variants that do not impact a splice junction and are unlikely to create a de novo donor. We created a database http://priors.hci.utah.edu/PRIORS/ that provides the combined missense substitution severity and spliceogenicity‐based probability of pathogenicity for BRCA gene single‐nucleotide substitutions. We also updated the BRCA gene Ex‐UV LOVD, available at http://hci‐exlovd.hci.utah.edu, with 77 re‐evaluable variants.
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Affiliation(s)
- Maxime P Vallée
- Department of Molecular Medicine, CHUQ Research Center, Quebec City, Canada
| | - Tonya L Di Sera
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah
| | - David A Nix
- ARUP Laboratories, University of Utah School of Medicine, Salt Lake City, Utah
| | - Andrew M Paquette
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Russel Bell
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
| | - Andrea Hoffman
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Sean V Tavtigian
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
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24
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Eccles DM, Li N, Handwerker R, Maishman T, Copson ER, Durcan LT, Gerty SM, Jones L, Evans DG, Haywood L, Campbell I. Genetic testing in a cohort of young patients with HER2-amplified breast cancer. Ann Oncol 2016; 27:467-73. [PMID: 26681682 DOI: 10.1093/annonc/mdv592] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 11/19/2015] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Young age at diagnosis for breast cancer raises the question of genetic susceptibility. We explored breast cancer susceptibility genes testing on ≤40-year-old patients with HER2-amplified invasive breast cancer. PATIENTS AND METHODS Patients were selected from a large UK cohort study. The inclusion criterion was age ≤40 at diagnosis with confirmed HER2-amplified breast cancer. The probability of finding a BRCA gene mutation was calculated based on family history. Genetic testing used was either clinical testing for BRCA1 and BRCA2, with a subset also tested for TP53 mutations, or research-based testing using a typical panel comprising 17 breast cancer susceptibility genes (CSGs) including BRCA1, BRCA2 and TP53. RESULTS Of the 591 eligible patients, clinical testing results were available for 133 cases and an additional 263 cases had panel testing results. BRCA testing across 396 cases found 8 BRCA2 (2%) and 6 BRCA1 (2%) pathogenic mutations. Of the 304 patients tested for TP53 mutations, overall 9 (3%) had deleterious TP53 mutations. Of the 396 patients, 101 (26%) met clinical criteria for BRCA testing (≥10% probability), among whom 11% had pathogenic BRCA mutations (6 BRCA2, 5 BRCA1). Where the probability was calculated to be <10%, only 4 of 295 (1%) patients had BRCA mutations. Among the 59 patients who had TP53 testing meeting the 10% threshold, 7 had mutations (12%). Likely functionally deleterious mutations in 14 lower penetrance CSGs were present in 12 of 263 (5%) panel-tested patients. CONCLUSION Patients aged <41 at diagnosis with HER2+ breast cancer and no family history of breast cancer can be reassured that they have a low chance of being a high-risk gene carrier. If there is a strong family history, not only BRCA but also TP53 gene testing should be considered. The clinical utility of testing lower penetrance CSGs remains unclear.
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Affiliation(s)
- D M Eccles
- Faculty of Medicine and Cancer Sciences, University of Southampton, Southampton, UK
| | - N Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Australia Cancer Biology Research Center Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - R Handwerker
- Faculty of Medicine and Cancer Sciences, University of Southampton, Southampton, UK
| | - T Maishman
- Faculty of Medicine and Cancer Sciences, University of Southampton, Southampton, UK
| | - E R Copson
- Faculty of Medicine and Cancer Sciences, University of Southampton, Southampton, UK
| | - L T Durcan
- Faculty of Medicine and Cancer Sciences, University of Southampton, Southampton, UK
| | - S M Gerty
- Faculty of Medicine and Cancer Sciences, University of Southampton, Southampton, UK
| | - L Jones
- Barts Cancer Institute (CRUK) and Centre for Tumour Biology, Queen Mary University of London, London
| | - D G Evans
- Genomic Medicine Institute of Human Development, University of Manchester and St Mary's Hospital, Manchester, UK
| | - L Haywood
- Barts Cancer Institute (CRUK) and Centre for Tumour Biology, Queen Mary University of London, London
| | - I Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Australia Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
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25
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Thirthagiri E, Klarmann KD, Shukla AK, Southon E, Biswas K, Martin BK, North SL, Magidson V, Burkett S, Haines DC, Noer K, Matthai R, Tessarollo L, Loncarek J, Keller JR, Sharan SK. BRCA2 minor transcript lacking exons 4-7 supports viability in mice and may account for survival of humans with a pathogenic biallelic mutation. Hum Mol Genet 2016; 25:1934-1945. [PMID: 26920070 DOI: 10.1093/hmg/ddw066] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Accepted: 02/22/2016] [Indexed: 11/14/2022] Open
Abstract
The breast cancer gene, BRCA2, is essential for viability, yet patients with Fanconi anemia-D1 subtype are born alive with biallelic mutations in this gene. The hypomorphic nature of the mutations is believed to support viability, but this is not always apparent. One such mutation is IVS7+2T>G, which causes premature protein truncation due to skipping of exon 7. We previously identified a transcript lacking exons 4-7, which restores the open-reading frame, encodes a DNA repair proficient protein and is expressed in IVS7+2T>G carriers. However, because the exons 4-7 encoded region contains several residues required for normal cell-cycle regulation and cytokinesis, this transcript's ability to support viability can be argued. To address this, we generated a Brca2 knock-in mouse model lacking exons 4-7 and demonstrated that these exons are dispensable for viability as well as tumor-free survival. This study provides the first in vivo evidence of the functional significance of a minor transcript of BRCA2 that can play a major role in the survival of humans who are homozygous for a clearly pathogenic mutation. Our results highlight the importance of assessing protein function restoration by premature truncating codon bypass by alternative splicing when evaluating the functional significance of variants such as nonsense and frame-shift mutations that are assumed to be clearly pathogenic. Our findings will impact not only the assessment of variants that map to this region, but also influence counseling paradigms and treatment options for such mutation carriers.
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Affiliation(s)
| | - Kimberly D Klarmann
- Mouse Cancer Genetics Program, Center for Cancer Research, Basic Sciences Program
| | | | - Eileen Southon
- Mouse Cancer Genetics Program, Center for Cancer Research, Basic Sciences Program
| | - Kajal Biswas
- Mouse Cancer Genetics Program, Center for Cancer Research
| | - Betty K Martin
- Mouse Cancer Genetics Program, Center for Cancer Research, Basic Sciences Program
| | | | | | - Sandra Burkett
- Mouse Cancer Genetics Program, Center for Cancer Research
| | - Diana C Haines
- Pathology/Histotechnology Laboratory, Leidos Biomedical Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Kathleen Noer
- Frederick CCR Flow Cytometry Core Cancer and Inflammation Program, National Cancer Institute, Frederick, MD 21702, USA
| | - Roberta Matthai
- Frederick CCR Flow Cytometry Core Cancer and Inflammation Program, National Cancer Institute, Frederick, MD 21702, USA
| | | | | | - Jonathan R Keller
- Mouse Cancer Genetics Program, Center for Cancer Research, Basic Sciences Program,
| | - Shyam K Sharan
- Mouse Cancer Genetics Program, Center for Cancer Research,
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26
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Wong-Brown M, McPhillips M, Gleeson M, Spigelman AD, Meldrum CJ, Dooley S, Scott RJ. When is a mutation not a mutation: the case of the c.594-2A>C splice variant in a woman harbouring another BRCA1 mutation in trans. Hered Cancer Clin Pract 2016; 14:6. [PMID: 26884819 PMCID: PMC4754916 DOI: 10.1186/s13053-015-0045-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 12/29/2015] [Indexed: 11/10/2022] Open
Abstract
Since the identification of BRCA1 there has only ever been described two bi-allelic mutation carriers, one of whom was subsequently shown to be a mono-allelic carrier. The second patient diagnosed with two BRCA1 mutations appears to be accurate but there remain some questions about the missense variant identified in that patient. In this report we have identified a woman who is a bi-allelic mutation carrier of BRCA1 and provide an explanation as to why this patient has a phenotype very similar to that of any mono-allelic mutation carrier. The splice variant identified in this patient appears to be associated with the up-regulation of a BRCA1 splice variant that rescues the lethality of being a double mutant. The consequences of the findings of this report may have implications for mutation interpretation and that could serve as a model for not only BRCA1 but also for other autosomal dominant disorders that are considered as being embryonically lethal.
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Affiliation(s)
- Michelle Wong-Brown
- Information Based Medicine Program, Hunter Medical Research Institute, Kookaburra Circuit, Newcastle, NSW 2305 Australia ; School of Biomedical Sciences and Pharmacy, Faculty of Medicine and Health, University of Newcastle, Callaghan, NSW 2308 Australia
| | - Mary McPhillips
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Lookout Road, Newcastle, NSW 2305 Australia
| | - Margaret Gleeson
- Hunter Family Cancer Service, Hunter New England Health District, Newcastle, NSW 2300 Australia
| | - Allan D Spigelman
- UNSW Medicine, St. Vincent's Hospital Clinical School, Sydney, Sydney, NSW 2010 Australia
| | - Cliff J Meldrum
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Lookout Road, Newcastle, NSW 2305 Australia
| | - Susan Dooley
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Lookout Road, Newcastle, NSW 2305 Australia
| | - Rodney J Scott
- Information Based Medicine Program, Hunter Medical Research Institute, Kookaburra Circuit, Newcastle, NSW 2305 Australia ; School of Biomedical Sciences and Pharmacy, Faculty of Medicine and Health, University of Newcastle, Callaghan, NSW 2308 Australia ; Division of Molecular Medicine, Pathology North, John Hunter Hospital, Lookout Road, Newcastle, NSW 2305 Australia
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27
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Moghadasi S, Eccles DM, Devilee P, Vreeswijk MPG, van Asperen CJ. Classification and Clinical Management of Variants of Uncertain Significance in High Penetrance Cancer Predisposition Genes. Hum Mutat 2016; 37:331-6. [PMID: 26777316 DOI: 10.1002/humu.22956] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 12/13/2015] [Indexed: 11/12/2022]
Abstract
In 2008, the International Agency for Research on Cancer (IARC) proposed a system for classifying sequence variants in highly penetrant breast and colon cancer susceptibility genes, linked to clinical actions. This system uses a multifactorial likelihood model to calculate the posterior probability that an altered DNA sequence is pathogenic. Variants between 5%-94.9% (class 3) are categorized as variants of uncertain significance (VUS). This interval is wide and might include variants with a substantial difference in pathogenicity at either end of the spectrum. We think that carriers of class 3 variants would benefit from a fine-tuning of this classification. Classification of VUS to a category with a defined clinical significance is very important because for carriers of a pathogenic mutation full surveillance and risk-reducing surgery can reduce cancer incidence. Counselees who are not carriers of a pathogenic mutation can be discharged from intensive follow-up and avoid unnecessary risk-reducing surgery. By means of examples, we show how, in selected cases, additional data can lead to reclassification of some variants to a different class with different recommendations for surveillance and therapy. To improve the clinical utility of this classification system, we suggest a pragmatic adaptation to clinical practice.
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Affiliation(s)
- Setareh Moghadasi
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, 2333 ZA, The Netherlands
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, SO16 5YA, United Kingdom
| | - Peter Devilee
- Department of Human Genetics, Leiden University Medical Centre, Leiden, 2333 ZC, The Netherlands
| | - Maaike P G Vreeswijk
- Department of Human Genetics, Leiden University Medical Centre, Leiden, 2333 ZC, The Netherlands
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, 2333 ZA, The Netherlands
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