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Kleiblová P, Černá M, Zemánková P, Matějková K, Nehasil P, Hojný J, Horáčková K, Janatová M, Soukupová J, Šťastná B, Kleibl Z. Parallel DNA/RNA NGS Using an Identical Target Enrichment Panel in the Analysis of Hereditary Cancer Predisposition. Folia Biol (Praha) 2024; 70:62-73. [PMID: 38830124 DOI: 10.14712/fb2024070010062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
Germline DNA testing using the next-gene-ration sequencing (NGS) technology has become the analytical standard for the diagnostics of hereditary diseases, including cancer. Its increasing use places high demands on correct sample identification, independent confirmation of prioritized variants, and their functional and clinical interpretation. To streamline these processes, we introduced parallel DNA and RNA capture-based NGS using identical capture panel CZECANCA, which is routinely used for DNA analysis of hereditary cancer predisposition. Here, we present the analytical workflow for RNA sample processing and its analytical and diagnostic performance. Parallel DNA/RNA analysis allowed credible sample identification by calculating the kinship coefficient. The RNA capture-based approach enriched transcriptional targets for the majority of clinically relevant cancer predisposition genes to a degree that allowed analysis of the effect of identified DNA variants on mRNA processing. By comparing the panel and whole-exome RNA enrichment, we demonstrated that the tissue-specific gene expression pattern is independent of the capture panel. Moreover, technical replicates confirmed high reproducibility of the tested RNA analysis. We concluded that parallel DNA/RNA NGS using the identical gene panel is a robust and cost-effective diagnostic strategy. In our setting, it allows routine analysis of 48 DNA/RNA pairs using NextSeq 500/550 Mid Output Kit v2.5 (150 cycles) in a single run with sufficient coverage to analyse 226 cancer predisposition and candidate ge-nes. This approach can replace laborious Sanger confirmatory sequencing, increase testing turnaround, reduce analysis costs, and improve interpretation of the impact of variants by analysing their effect on mRNA processing.
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Affiliation(s)
- Petra Kleiblová
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
| | - Marta Černá
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Petra Zemánková
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Kateřina Matějková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, Prague, Czech Republic
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Petr Nehasil
- Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jan Hojný
- Institute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Klára Horáčková
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Markéta Janatová
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jana Soukupová
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Barbora Šťastná
- Department of Biochemistry, Faculty of Science, Charles University, Prague, Czech Republic
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Zdeněk Kleibl
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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Thomassen M, Mesman RLS, Hansen TVO, Menendez M, Rossing M, Esteban‐Sánchez A, Tudini E, Törngren T, Parsons MT, Pedersen IS, Teo SH, Kruse TA, Møller P, Borg Å, Jensen UB, Christensen LL, Singer CF, Muhr D, Santamarina M, Brandao R, Andresen BS, Feng B, Canson D, Richardson ME, Karam R, Pesaran T, LaDuca H, Conner BR, Abualkheir N, Hoang L, Calléja FMGR, Andrews L, James PA, Bunyan D, Hamblett A, Radice P, Goldgar DE, Walker LC, Engel C, Claes KBM, Macháčková E, Baralle D, Viel A, Wappenschmidt B, Lazaro C, Vega A, Vreeswijk MPG, de la Hoya M, Spurdle AB. Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points-based ACMG/AMP approach. Hum Mutat 2022; 43:1921-1944. [PMID: 35979650 PMCID: PMC10946542 DOI: 10.1002/humu.24449] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 01/25/2023]
Abstract
Skipping of BRCA2 exon 3 (∆E3) is a naturally occurring splicing event, complicating clinical classification of variants that may alter ∆E3 expression. This study used multiple evidence types to assess pathogenicity of 85 variants in/near BRCA2 exon 3. Bioinformatically predicted spliceogenic variants underwent mRNA splicing analysis using minigenes and/or patient samples. ∆E3 was measured using quantitative analysis. A mouse embryonic stem cell (mESC) based assay was used to determine the impact of 18 variants on mRNA splicing and protein function. For each variant, population frequency, bioinformatic predictions, clinical data, and existing mRNA splicing and functional results were collated. Variant class was assigned using a gene-specific adaptation of ACMG/AMP guidelines, following a recently proposed points-based system. mRNA and mESC analysis combined identified six variants with transcript and/or functional profiles interpreted as loss of function. Cryptic splice site use for acceptor site variants generated a transcript encoding a shorter protein that retains activity. Overall, 69/85 (81%) variants were classified using the points-based approach. Our analysis shows the value of applying gene-specific ACMG/AMP guidelines using a points-based approach and highlights the consideration of cryptic splice site usage to appropriately assign PVS1 code strength.
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Affiliation(s)
- Mads Thomassen
- Department of Clinical GeneticsOdense University HospitalOdence CDenmark
| | - Romy L. S. Mesman
- Department of Human GeneticsLeiden University Medical CenterLeidenthe Netherlands
| | - Thomas V. O. Hansen
- Department of Clinical Genetics, RigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | - Mireia Menendez
- Hereditary Cancer ProgramCatalan Institute of Oncology, ONCOBELL‐IDIBELL‐IDTP, CIBERONCHospitalet de LlobregatSpain
| | - Maria Rossing
- Center for Genomic Medicine, RigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | - Ada Esteban‐Sánchez
- Molecular Oncology Laboratory, CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos)MadridSpain
| | - Emma Tudini
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Therese Törngren
- Division of Oncology, Department of Clinical Sciences LundLund UniversityLundSweden
| | - Michael T. Parsons
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Inge S. Pedersen
- Molecular Diagnostics, Aalborg University HospitalAalborgDenmark
- Clinical Cancer Research CenterAalborg University HospitalAalborgDenmark
- Department of Clinical MedicineAalborg UniversityAalborgDenmark
| | - Soo H. Teo
- Breast Cancer Research ProgrammeCancer Research MalaysiaSubang JayaSelangorMalaysia
- Department of Surgery, Faculty of MedicineUniversity of MalayaKuala LumpurMalaysia
| | - Torben A. Kruse
- Department of Clinical GeneticsOdense University HospitalOdence CDenmark
| | - Pål Møller
- Department of Tumour BiologyThe Norwegian Radium Hospital, Oslo University HospitalOsloNorway
| | - Åke Borg
- Division of Oncology, Department of Clinical Sciences LundLund UniversityLundSweden
| | - Uffe B. Jensen
- Department of Clinical GeneticsAarhus University HospitalAarhus NDenmark
| | | | - Christian F. Singer
- Department of OB/GYN and Comprehensive Cancer CenterMedical University of ViennaViennaAustria
| | - Daniela Muhr
- Department of OB/GYN and Comprehensive Cancer CenterMedical University of ViennaViennaAustria
| | - Marta Santamarina
- Fundación Pública Galega de Medicina XenómicaSantiago de CompostelaSpain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGASSantiago de CompostelaSpain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER)MadridSpain
| | - Rita Brandao
- Department of Clinical GeneticsMaastricht University Medical CenterMaastrichtthe Netherlands
| | - Brage S. Andresen
- Department of Biochemistry and Molecular Biology and the Villum Center for Bioanalytical SciencesUniversity of Southern DenmarkOdenseDenmark
| | - Bing‐Jian Feng
- Department of DermatologyHuntsman Cancer Institute, University of Utah School of MedicineSalt Lake CityUtahUSA
| | - Daffodil Canson
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | | | | | | | | | | | | | | | | | - Lesley Andrews
- Hereditary Cancer Clinic, Nelune Comprehensive Cancer Care CentreSydneyNew South WalesAustralia
| | - Paul A. James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer CenterMelbourneVictoriaAustralia
- Sir Peter MacCallum Department of OncologyThe University of MelbourneMelbourneVictoriaAustralia
| | - Dave Bunyan
- Human Development and Health, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Amanda Hamblett
- Middlesex Health Shoreline Cancer CenterWestbrookConnecticutUSA
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of ResearchFondazione IRCCS Istituto Nazionale dei Tumori (INT)MilanItaly
| | - David E. Goldgar
- Department of DermatologyHuntsman Cancer Institute, University of Utah School of MedicineSalt Lake CityUtahUSA
| | - Logan C. Walker
- Department of Pathology and Biomedical ScienceUniversity of OtagoChristchurchNew Zealand
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and EpidemiologyUniversity of LeipzigLeipzigGermany
| | | | - Eva Macháčková
- Department of Cancer Epidemiology and GeneticsMasaryk Memorial Cancer InstituteBrnoCzech Republic
| | - Diana Baralle
- Human Development and Health, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Alessandra Viel
- Division of Functional Onco‐genomics and GeneticsCentro di Riferimento Oncologico di Aviano (CRO), IRCCSAvianoItaly
| | - Barbara Wappenschmidt
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Conxi Lazaro
- Hereditary Cancer ProgramCatalan Institute of Oncology, ONCOBELL‐IDIBELL‐IDTP, CIBERONCHospitalet de LlobregatSpain
| | - Ana Vega
- Fundación Pública Galega de Medicina XenómicaSantiago de CompostelaSpain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGASSantiago de CompostelaSpain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER)MadridSpain
| | - ENIGMA Consortium
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | | | - Miguel de la Hoya
- Molecular Oncology Laboratory, CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos)MadridSpain
| | - Amanda B. Spurdle
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
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Horton C, Cass A, Conner BR, Hoang L, Zimmermann H, Abualkheir N, Burks D, Qian D, Molparia B, Vuong H, LaDuca H, Grzybowski J, Durda K, Pilarski R, Profato J, Clayback K, Mahoney M, Schroeder C, Torres-Martinez W, Elliott A, Chao EC, Karam R. Mutational and splicing landscape in a cohort of 43,000 patients tested for hereditary cancer. NPJ Genom Med 2022; 7:49. [PMID: 36008414 PMCID: PMC9411123 DOI: 10.1038/s41525-022-00323-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 08/10/2022] [Indexed: 11/23/2022] Open
Abstract
DNA germline genetic testing can identify individuals with cancer susceptibility. However, DNA sequencing alone is limited in its detection and classification of mRNA splicing variants, particularly those located far from coding sequences. Here we address the limitations of splicing variant identification and interpretation by pairing DNA and RNA sequencing and describe the mutational and splicing landscape in a clinical cohort of 43,524 individuals undergoing genetic testing for hereditary cancer predisposition.
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Affiliation(s)
- Carolyn Horton
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | - Ashley Cass
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | - Blair R Conner
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | - Lily Hoang
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | | | | | - David Burks
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | - Dajun Qian
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | | | - Huy Vuong
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | - Holly LaDuca
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | | | - Kate Durda
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA
| | | | | | - Katherine Clayback
- Roswell Park Comprehensive Cancer Center, 665 Elm St, Buffalo, NY, 14203, USA
| | - Martin Mahoney
- Roswell Park Comprehensive Cancer Center, 665 Elm St, Buffalo, NY, 14203, USA
| | - Courtney Schroeder
- Indiana University School of Medicine, 975 W. Walnut Street, IB 130, Indianapolis, IN, 46202, USA
| | - Wilfredo Torres-Martinez
- Indiana University School of Medicine, 975 W. Walnut Street, IB 130, Indianapolis, IN, 46202, USA
| | - Aaron Elliott
- Realm IDx. One Enterprise, Aliso Viejo, CA, 92656, USA
| | - Elizabeth C Chao
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA.,University of California, Irvine, School of Medicine, 1001 Health Sciences Rd, Irvine, CA, 92617, USA
| | - Rachid Karam
- Ambry Genetics. One Enterprise, Aliso Viejo, CA, 92656, USA.
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4
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Pauley K, Koptiuch C, Greenberg S, Kohlmann W, Jeter J, Colonna S, Werner T, Kinsey C, Gilcrease G, Weis J, Whisenant J, Florou V, Garrido-Laguna I. Discrepancies between tumor genomic profiling and germline genetic testing. ESMO Open 2022; 7:100526. [PMID: 35780590 PMCID: PMC9511791 DOI: 10.1016/j.esmoop.2022.100526] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 06/06/2022] [Accepted: 06/09/2022] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Tumor genomic profiling (TGP) often incidentally identifies germline pathogenic variants (PVs) associated with cancer predisposition syndromes. Methods used by somatic testing laboratories, including germline analysis, differ from designated germline laboratories that have optimized the identification of germline PVs. This study evaluated discrepancies between somatic and germline testing results, and their impact on patients. PATIENTS AND METHODS Chart reviews were carried out at a single institution for patients who had both somatic and designated germline genetic testing. Cases with discrepant results in which germline PVs were not detected by the somatic laboratory or in which variant classification differed are summarized. RESULTS TGP was carried out on 2811 cancer patients, 600 of whom also underwent designated germline genetic testing. Germline PVs were identified for 109 individuals. Discrepancies between germline genetic testing and tumor profiling reports were identified in 20 cases, including 14 PVs identified by designated germline genetic testing laboratories that were not reported by somatic testing laboratories and six variants with discrepant classifications between the designated germline and somatic testing laboratories. Three PVs identified by designated germline laboratories are targets for poly adenosine diphosphate-ribose polymerase (PARP) inhibitors and resulted in different treatment options. Of the PVs identified by designated germline laboratories, 60% (n = 12) were in genes with established associations to the patients' cancer, and 40% of the PVs were incidental. The majority (90%) of all discrepant findings, both contributory and incidental, changed management recommendations for these patients, highlighting the importance of comprehensive germline assessment. CONCLUSIONS Methods used by somatic laboratories, regardless of the inclusion of germline analysis, differ from those of designated germline laboratories for identifying germline PVs. Unrecognized germline PVs may harm patients by missing hereditary syndromes and targeted therapy opportunities (e.g. anti-programmed cell death protein 1 immunotherapy, PARP inhibitors). Clinicians should refer patients who meet the criteria for genetic evaluation regardless of somatic testing outcomes.
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Affiliation(s)
- K Pauley
- Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, USA.
| | - C Koptiuch
- Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, USA
| | - S Greenberg
- Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, USA
| | - W Kohlmann
- Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, USA
| | - J Jeter
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA
| | - S Colonna
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA
| | - T Werner
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA
| | - C Kinsey
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA
| | - G Gilcrease
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA
| | - J Weis
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA
| | - J Whisenant
- Department of Medical Oncology and Hematology, Utah Cancer Specialists, Salt Lake City, USA
| | - V Florou
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA
| | - I Garrido-Laguna
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, USA
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Fulk K, Turner M, Eppolito A, Krukenberg R. RNA sequencing uncovers clinically actionable germline intronic MSH2 variants in previously unresolved Lynch syndrome families. BMJ Case Rep 2022; 15:e249580. [PMID: 35487642 PMCID: PMC9058703 DOI: 10.1136/bcr-2022-249580] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/12/2022] [Indexed: 11/03/2022] Open
Abstract
Despite advances in genetic testing for Lynch syndrome, nearly one quarter of mismatch repair-deficient (MMRd) colorectal and endometrial cancers remain unexplained. When added to germline DNA testing, RNA sequencing can increase diagnostic yield, improve variant classification and reduce variants of uncertain significance. Here, we describe two cases where RNA sequencing uncovered likely pathogenic MSH2 variants in families with MMRd tumours that were initially unexplained following comprehensive genetic testing for Lynch syndrome.
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Affiliation(s)
- Kelly Fulk
- Ambry Genetics Corp, Aliso Viejo, California, USA
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Hernandez F, Conner BR, Richardson ME, LaDuca H, Chao E, Pesaran T, Karam R. Classification of the canonical splice alteration MUTYH c.934-2A>G is likely benign based on RNA and clinical data. Cold Spring Harb Mol Case Stud 2021; 8:mcs.a006152. [PMID: 34716202 PMCID: PMC8744492 DOI: 10.1101/mcs.a006152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 10/26/2021] [Indexed: 11/24/2022] Open
Abstract
MUTYH-associated polyposis (MAP) is an autosomal recessive disorder characterized by the development of multiple adenomatous colonic polyps and an increased lifetime risk of colorectal cancer. Germline biallelic pathogenic variants in MUTYH are responsible for MAP. The MUTYH c.934-2A > G (NM_001128425.1) variant, which is also known as c.850-2A > G for NM_001048174.2, has been identified in our laboratory in more than 800 patients, including homozygous and compound heterozygote carriers. The variant was initially classified as a variant of uncertain significance (VUS) because of lack of a MAP phenotype in biallelic carriers. In two unrelated female patients who were heterozygous carriers of this variant, further testing by RNA sequencing identified an aberrant transcript with a deletion of 9 nt at the start of exon 11 (MUTYH r.934_942del9). This event is predicted to lead to an in-frame loss of three amino acids in a noncritical domain of the protein. This was the only splice defect identified in these patients that was not present in the controls, and the aberrant transcript is derived exclusively from the variant allele, strongly supporting the cause of this splice defect as being the intronic variant, MUTYH c.934-2A > G. The splicing analysis demonstrating a small in-frame skipping of three amino acids in a noncritical domain, along with the absence of a MAP phenotype in our internal cohort of biallelic carriers, provides evidence that the variant is likely benign and not of clinical significance.
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Dragoš VŠ, Stegel V, Blatnik A, Klančar G, Krajc M, Novaković S. New Approach for Detection of Normal Alternative Splicing Events and Aberrant Spliceogenic Transcripts with Long-Range PCR and Deep RNA Sequencing. BIOLOGY 2021; 10:biology10080706. [PMID: 34439939 PMCID: PMC8389194 DOI: 10.3390/biology10080706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 07/21/2021] [Accepted: 07/21/2021] [Indexed: 11/16/2022]
Abstract
RNA sequencing is a promising technique for detecting normal and aberrant RNA isoforms. Here, we present a new single-gene, straightforward 1-day hands-on protocol for detection of splicing alterations with deep RNA sequencing from blood. We have validated our method’s accuracy by detecting previously published normal splicing isoforms of STK11 gene. Additionally, the same technique was used to provide the first comprehensive catalogue of naturally occurring alternative splicing events of the NBN gene in blood. Furthermore, we demonstrate that our approach can be used for detection of splicing impairment caused by genetic variants. Therefore, we were able to reclassify three variants of uncertain significance: NBN:c.584G>A, STK11:c.863-5_863-3delCTC and STK11:c.615G>A. Due to the simplicity of our approach, it can be incorporated into any molecular diagnostics laboratory for determination of variant’s impact on splicing.
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Affiliation(s)
- Vita Šetrajčič Dragoš
- Department of Molecular Diagnostics, Institute of Oncology Ljubljana, SI-1000 Ljubljana, Slovenia; (V.Š.D.); (V.S.); (G.K.)
- Biotechnical Faculty, University of Ljubljana, SI-1000 Ljubljana, Slovenia
| | - Vida Stegel
- Department of Molecular Diagnostics, Institute of Oncology Ljubljana, SI-1000 Ljubljana, Slovenia; (V.Š.D.); (V.S.); (G.K.)
| | - Ana Blatnik
- Cancer Genetics Clinic, Institute of Oncology Ljubljana, SI-1000 Ljubljana, Slovenia; (A.B.); (M.K.)
| | - Gašper Klančar
- Department of Molecular Diagnostics, Institute of Oncology Ljubljana, SI-1000 Ljubljana, Slovenia; (V.Š.D.); (V.S.); (G.K.)
| | - Mateja Krajc
- Cancer Genetics Clinic, Institute of Oncology Ljubljana, SI-1000 Ljubljana, Slovenia; (A.B.); (M.K.)
| | - Srdjan Novaković
- Department of Molecular Diagnostics, Institute of Oncology Ljubljana, SI-1000 Ljubljana, Slovenia; (V.Š.D.); (V.S.); (G.K.)
- Faculty of Medicine, University of Ljubljana, SI-1000 Ljubljana, Slovenia
- Correspondence: ; Tel.: +386-1-587-95-46
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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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Thompson BA, Walters R, Parsons MT, Dumenil T, Drost M, Tiersma Y, Lindor NM, Tavtigian SV, de Wind N, Spurdle AB. Contribution of mRNA Splicing to Mismatch Repair Gene Sequence Variant Interpretation. Front Genet 2020; 11:798. [PMID: 32849802 PMCID: PMC7398121 DOI: 10.3389/fgene.2020.00798] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 07/03/2020] [Indexed: 12/25/2022] Open
Abstract
Functional assays that assess mRNA splicing can be used in interpretation of the clinical significance of sequence variants, including the Lynch syndrome-associated mismatch repair (MMR) genes. The purpose of this study was to investigate the contribution of splicing assay data to the classification of MMR gene sequence variants. We assayed mRNA splicing for 24 sequence variants in MLH1, MSH2, and MSH6, including 12 missense variants that were also assessed using a cell-free in vitro MMR activity (CIMRA) assay. Multifactorial likelihood analysis was conducted for each variant, combining CIMRA outputs and clinical data where available. We collated these results with existing public data to provide a dataset of splicing assay results for a total of 671 MMR gene sequence variants (328 missense/in-frame indel), and published and unpublished repair activity measurements for 154 of these variants. There were 241 variants for which a splicing aberration was detected: 92 complete impact, 33 incomplete impact, and 116 where it was not possible to determine complete versus incomplete splicing impact. Splicing results mostly aided in the interpretation of intronic (72%) and silent (92%) variants and were the least useful for missense substitutions/in-frame indels (10%). MMR protein functional activity assays were more useful in the analysis of these exonic variants but by design they were not able to detect clinically important splicing aberrations identified by parallel mRNA assays. The development of high throughput assays that can quantitatively assess impact on mRNA transcript expression and protein function in parallel will streamline classification of MMR gene sequence variants.
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Affiliation(s)
- Bryony A Thompson
- Department of Pathology, The Royal Melbourne Hospital, Melbourne, VIC, Australia.,Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Rhiannon Walters
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Michael T Parsons
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Troy Dumenil
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Mark Drost
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Yvonne Tiersma
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Noralane M Lindor
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ, United States
| | - Sean V Tavtigian
- Department of Oncological Sciences, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Niels de Wind
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Amanda B Spurdle
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
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10
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Ichikawa S, Prockop S, Cunningham-Rundles C, Sifers T, Conner BR, Wu S, Karam R, Walsh MF, Fiala E. Reticular dysgenesis caused by an intronic pathogenic variant in AK2. Cold Spring Harb Mol Case Stud 2020; 6:mcs.a005017. [PMID: 32532877 PMCID: PMC7304357 DOI: 10.1101/mcs.a005017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 03/23/2020] [Indexed: 01/25/2023] Open
Abstract
Reticular dysgenesis is a form of severe combined immunodeficiency (SCID) caused by biallelic pathogenic variants in AK2. Here we present the case of a boy diagnosed with SCID following a positive newborn screen (NBS). Genetic testing revealed a homozygous variant: AK2 c.330 + 5G > A. In silico analyses predicted weakened native donor splice site. However, this variant was initially classified as a variant of uncertain significance (VUS) given lack of direct evidence. To determine the impact on splicing, we analyzed RNA from the proband and his parents, using massively parallel RNA-seq of cloned RT-PCR products. Analysis showed that c.330 + 5G > A results in exon 3 skipping, which encodes a critical region of the AK2 protein. With these results, the variant was upgraded to pathogenic, and the patient was given a diagnosis of reticular dysgenesis. Interpretation of VUS at noncanonical splice site nucleotides presents a challenge. RNA sequencing provides an ideal platform to perform qualitative and quantitative assessment of intronic VUS, which can lead to reclassification if a significant impact on mRNA is observed. Genetic disorders of hematopoiesis and immunity represent fruitful areas to apply RNA-based analysis for variant interpretation given the high expression of RNA in blood.
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Affiliation(s)
- Shoji Ichikawa
- Department of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, California 92656, USA
| | - Susan Prockop
- MSK Kids, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.,MSK Kids, Stem Cell Transplant and Cellular Therapy, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Charlotte Cunningham-Rundles
- Division of Clinical Immunology, Departments of Medicine and Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Travis Sifers
- Division of Clinical Immunology, Departments of Medicine and Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Blair R Conner
- Department of Research and Development, Ambry Genetics, Aliso Viejo, California 92656, USA
| | - Sitao Wu
- Department of Bioinformatics and Computational Biology, Ambry Genetics, Aliso Viejo, California 92656, USA
| | - Rachid Karam
- Department of Research and Development, Ambry Genetics, Aliso Viejo, California 92656, USA
| | - Michael F Walsh
- MSK Kids, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.,Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
| | - Elise Fiala
- MSK Kids, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.,Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
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11
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Kimonis V, Al Dubaisi R, Maclean AE, Hall K, Weiss L, Stover AE, Schwartz PH, Berg B, Cheng C, Parikh S, Conner BR, Wu S, Hasso AN, Scott DA, Koenig MK, Karam R, Tang S, Smith M, Chao E, Balk J, Hatchwell E, Eis PS. NUBPL mitochondrial disease: new patients and review of the genetic and clinical spectrum. J Med Genet 2020; 58:314-325. [PMID: 32518176 DOI: 10.1136/jmedgenet-2020-106846] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 04/02/2020] [Accepted: 04/22/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND The nucleotide binding protein-like (NUBPL) gene was first reported as a cause of mitochondrial complex I deficiency (MIM 613621, 618242) in 2010. To date, only eight patients have been reported with this mitochondrial disorder. Five other patients were recently reported to have NUBPL disease but their clinical picture was different from the first eight patients. Here, we report clinical and genetic findings in five additional patients (four families). METHODS Whole exome sequencing was used to identify patients with compound heterozygous NUBPL variants. Functional studies included RNA-Seq transcript analyses, missense variant biochemical analyses in a yeast model (Yarrowia lipolytica) and mitochondrial respiration experiments on patient fibroblasts. RESULTS The previously reported c.815-27T>C branch-site mutation was found in all four families. In prior patients, c.166G>A [p.G56R] was always found in cis with c.815-27T>C, but only two of four families had both variants. The second variant found in trans with c.815-27T>C in each family was: c.311T>C [p.L104P] in three patients, c.693+1G>A in one patient and c.545T>C [p.V182A] in one patient. Complex I function in the yeast model was impacted by p.L104P but not p.V182A. Clinical features include onset of neurological symptoms at 3-18 months, global developmental delay, cerebellar dysfunction (including ataxia, dysarthria, nystagmus and tremor) and spasticity. Brain MRI showed cerebellar atrophy. Mitochondrial function studies on patient fibroblasts showed significantly reduced spare respiratory capacity. CONCLUSION We report on five new patients with NUBPL disease, adding to the number and phenotypic variability of patients diagnosed worldwide, and review prior reported patients with pathogenic NUBPL variants.
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Affiliation(s)
- Virginia Kimonis
- Division of Genetics and Metabolism, Department of Pediatrics, University of California Irvine, Irvine, California, USA
| | - Rehab Al Dubaisi
- Division of Genetics and Metabolism, Department of Pediatrics, University of California Irvine, Irvine, California, USA
| | - Andrew E Maclean
- Department of Biological Chemistry, John Innes Centre, Norwich, Norfolk, UK.,Wellcome Centre for Integrative Parasitology, University of Glasgow, Glasgow, Glasgow, UK
| | - Kathy Hall
- Division of Genetics and Metabolism, Department of Pediatrics, University of California Irvine, Irvine, California, USA
| | - Lan Weiss
- Division of Genetics and Metabolism, Department of Pediatrics, University of California Irvine, Irvine, California, USA
| | - Alexander E Stover
- CHOC National Human Neural Stem Cell Resource, Children's Hospital of Orange County Research Institute, Orange, California, USA
| | - Philip H Schwartz
- CHOC National Human Neural Stem Cell Resource, Children's Hospital of Orange County Research Institute, Orange, California, USA
| | - Bethany Berg
- Division of Genetics and Metabolism, Department of Pediatrics, University of California Irvine, Irvine, California, USA
| | - Cheng Cheng
- Division of Genetics and Metabolism, Department of Pediatrics, University of California Irvine, Irvine, California, USA
| | - Sumit Parikh
- Center for Pediatric Neurology, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Sitao Wu
- Ambry Genetics Corp, Aliso Viejo, California, USA
| | - Anton N Hasso
- Radiological Sciences, University of California Irvine School of Medicine, Irvine, California, USA
| | - Daryl A Scott
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.,Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas, USA
| | - Mary Kay Koenig
- Department of Pediatrics, University of Texas McGovern Medical School, Houston, Texas, USA
| | - Rachid Karam
- Ambry Genetics Corp, Aliso Viejo, California, USA
| | - Sha Tang
- Ambry Genetics Corp, Aliso Viejo, California, USA
| | - Moyra Smith
- Division of Genetics and Metabolism, Department of Pediatrics, University of California Irvine, Irvine, California, USA
| | - Elizabeth Chao
- Division of Genetics and Metabolism, Department of Pediatrics, University of California Irvine, Irvine, California, USA.,Ambry Genetics Corp, Aliso Viejo, California, USA
| | - Janneke Balk
- Department of Biological Chemistry, John Innes Centre, Norwich, Norfolk, UK
| | | | - Peggy S Eis
- Population Bio, Inc, New York, New York, USA
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12
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Schienda J, Stopfer J. Cancer Genetic Counseling-Current Practice and Future Challenges. Cold Spring Harb Perspect Med 2020; 10:cshperspect.a036541. [PMID: 31548230 DOI: 10.1101/cshperspect.a036541] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Cancer genetic counseling practice is rapidly evolving, with services being provided in increasingly novel ways. Pretest counseling for cancer patients may be abbreviated from traditional models to cover the elements of informed consent in the broadest of strokes. Genetic testing may be ordered by a cancer genetics professional, oncology provider, or primary care provider. Increasingly, direct-to-consumer testing options are available and utilized by consumers anxious to take control of their genetic health. Finally, genetic information is being used to inform oncology care, from surgical decision-making to selection of chemotherapeutic agent. This review provides an overview of the current and evolving practice of cancer genetic counseling as well as opportunities and challenges for a wide variety of indications in both the adult and pediatric setting.
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Affiliation(s)
- Jaclyn Schienda
- Division of Cancer Genetics and Prevention, Dana Farber Cancer Institute, Boston, Massachusetts 02215, USA
| | - Jill Stopfer
- Division of Cancer Genetics and Prevention, Dana Farber Cancer Institute, Boston, Massachusetts 02215, USA
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13
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High-throughput functional evaluation of BRCA2 variants of unknown significance. Nat Commun 2020; 11:2573. [PMID: 32444794 PMCID: PMC7244490 DOI: 10.1038/s41467-020-16141-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 04/17/2020] [Indexed: 12/14/2022] Open
Abstract
Numerous nontruncating missense variants of the BRCA2 gene have been identified, but there is a lack of convincing evidence, such as familial data, demonstrating their clinical relevance and they thus remain unactionable. To assess the pathogenicity of variants of unknown significance (VUSs) within BRCA2, here we develop a method, the MANO-B method, for high-throughput functional evaluation utilizing BRCA2-deficient cells and poly (ADP-ribose) polymerase (PARP) inhibitors. The estimated sensitivity and specificity of this assay compared to those of the International Agency for Research on Cancer classification system is 95% and 95% (95% confidence intervals: 77–100% and 82–99%), respectively. We classify the functional impact of 186 BRCA2 VUSs with our computational pipeline, resulting in the classification of 126 variants as normal/likely normal, 23 as intermediate, and 37 as abnormal/likely abnormal. We further describe a simplified, on-demand annotation system that could be used as a companion diagnostic for PARP inhibitors in patients with unknown BRCA2 VUSs. Many germline variants are found in the BRCA2 gene, some of which pre-dispose women to breast and ovarian cancer. Here, the authors develop a method to determine the functional significance of BRCA2 variants and show that it is comparable to the IARC system of classifying variants.
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14
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Landrith T, Li B, Cass AA, Conner BR, LaDuca H, McKenna DB, Maxwell KN, Domchek S, Morman NA, Heinlen C, Wham D, Koptiuch C, Vagher J, Rivera R, Bunnell A, Patel G, Geurts JL, Depas MM, Gaonkar S, Pirzadeh-Miller S, Krukenberg R, Seidel M, Pilarski R, Farmer M, Pyrtel K, Milliron K, Lee J, Hoodfar E, Nathan D, Ganzak AC, Wu S, Vuong H, Xu D, Arulmoli A, Parra M, Hoang L, Molparia B, Fennessy M, Fox S, Charpentier S, Burdette J, Pesaran T, Profato J, Smith B, Haynes G, Dalton E, Crandall JRR, Baxter R, Lu HM, Tippin-Davis B, Elliott A, Chao E, Karam R. Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes. NPJ Precis Oncol 2020; 4:4. [PMID: 32133419 PMCID: PMC7039900 DOI: 10.1038/s41698-020-0109-y] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 01/30/2020] [Indexed: 12/12/2022] Open
Abstract
Germline variants in tumor suppressor genes (TSGs) can result in RNA mis-splicing and predisposition to cancer. However, identification of variants that impact splicing remains a challenge, contributing to a substantial proportion of patients with suspected hereditary cancer syndromes remaining without a molecular diagnosis. To address this, we used capture RNA-sequencing (RNA-seq) to generate a splicing profile of 18 TSGs (APC, ATM, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, MLH1, MSH2, MSH6, MUTYH, NF1, PALB2, PMS2, PTEN, RAD51C, RAD51D, and TP53) in 345 whole-blood samples from healthy donors. We subsequently demonstrated that this approach can detect mis-splicing by comparing splicing profiles from the control dataset to profiles generated from whole blood of individuals previously identified with pathogenic germline splicing variants in these genes. To assess the utility of our TSG splicing profile to prospectively identify pathogenic splicing variants, we performed concurrent capture DNA and RNA-seq in a cohort of 1000 patients with suspected hereditary cancer syndromes. This approach improved the diagnostic yield in this cohort, resulting in a 9.1% relative increase in the detection of pathogenic variants, demonstrating the utility of performing simultaneous DNA and RNA genetic testing in a clinical context.
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Affiliation(s)
| | - Bing Li
- Ambry Genetics, Aliso Viejo, CA USA
| | | | | | | | | | | | | | | | | | - Deborah Wham
- Aurora St. Luke’s Medical Center, Milwaukee, WI USA
| | | | | | - Ragene Rivera
- Texas Oncology, El Paso, Fort Worth, and Austin, TX USA
| | - Ann Bunnell
- Texas Oncology, El Paso, Fort Worth, and Austin, TX USA
| | - Gayle Patel
- Texas Oncology, El Paso, Fort Worth, and Austin, TX USA
| | | | | | | | | | | | | | - Robert Pilarski
- Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH USA
| | - Meagan Farmer
- University of Alabama at Birmingham, Birmingham, AL USA
| | | | | | - John Lee
- Cedars-Sinai Medical Center, Los Angeles, CA USA
| | | | | | | | - Sitao Wu
- Ambry Genetics, Aliso Viejo, CA USA
| | | | - Dong Xu
- Ambry Genetics, Aliso Viejo, CA USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Elizabeth Chao
- Ambry Genetics, Aliso Viejo, CA USA
- University of California at Irvine, Irvine, CA USA
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15
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Characterization of splice-altering mutations in inherited predisposition to cancer. Proc Natl Acad Sci U S A 2019; 116:26798-26807. [PMID: 31843900 DOI: 10.1073/pnas.1915608116] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Mutations responsible for inherited disease may act by disrupting normal transcriptional splicing. Such mutations can be difficult to detect, and their effects difficult to characterize, because many lie deep within exons or introns where they may alter splice enhancers or silencers or introduce new splice acceptors or donors. Multiple mutation-specific and genome-wide approaches have been developed to evaluate these classes of mutations. We introduce a complementary experimental approach, cBROCA, which yields qualitative and quantitative assessments of the effects of genomic mutations on transcriptional splicing of tumor suppressor genes. cBROCA analysis is undertaken by deriving complementary DNA (cDNA) from puromycin-treated patient lymphoblasts, hybridizing the cDNA to the BROCA panel of tumor suppressor genes, and then multiplex sequencing to very high coverage. At each splice junction suggested by split sequencing reads, read depths of test and control samples are compared. Significant Z scores indicate altered transcripts, over and above naturally occurring minor transcripts, and comparisons of read depths indicate relative abundances of mutant and normal transcripts. BROCA analysis of genomic DNA suggested 120 rare mutations from 150 families with cancers of the breast, ovary, uterus, or colon, in >600 informative genotyped relatives. cBROCA analysis of their transcripts revealed a wide variety of consequences of abnormal splicing in tumor suppressor genes, including whole or partial exon skipping, exonification of intronic sequence, loss or gain of exonic and intronic splicing enhancers and silencers, complete intron retention, hypomorphic alleles, and combinations of these alterations. Combined with pedigree analysis, cBROCA sequencing contributes to understanding the clinical consequences of rare inherited mutations.
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16
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Karam R, Conner B, LaDuca H, McGoldrick K, Krempely K, Richardson ME, Zimmermann H, Gutierrez S, Reineke P, Hoang L, Allen K, Yussuf A, Farber-Katz S, Rana HQ, Culver S, Lee J, Nashed S, Toppmeyer D, Collins D, Haynes G, Pesaran T, Dolinsky JS, Tippin Davis B, Elliott A, Chao E. Assessment of Diagnostic Outcomes of RNA Genetic Testing for Hereditary Cancer. JAMA Netw Open 2019; 2:e1913900. [PMID: 31642931 PMCID: PMC6820040 DOI: 10.1001/jamanetworkopen.2019.13900] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
IMPORTANCE Performing DNA genetic testing (DGT) for hereditary cancer genes is now a well-accepted clinical practice; however, the interpretation of DNA variation remains a challenge for laboratories and clinicians. Adding RNA genetic testing (RGT) enhances DGT by clarifying the clinical actionability of hereditary cancer gene variants, thus improving clinicians' ability to accurately apply strategies for cancer risk reduction and treatment. OBJECTIVE To evaluate whether RGT is associated with improvement in the diagnostic outcome of DGT and in the delivery of personalized cancer risk management for patients with hereditary cancer predisposition. DESIGN, SETTING, AND PARTICIPANTS Diagnostic study in which patients and/or families with inconclusive variants detected by DGT in genes associated with hereditary breast and ovarian cancer, Lynch syndrome, and hereditary diffuse gastric cancer sent blood samples for RGT from March 2016 to April 2018. Clinicians who ordered genetic testing and received a reclassification report for these variants were surveyed to assess whether RGT-related variant reclassifications changed clinical management of these patients. To quantify the potential number of tested individuals who could benefit from RGT, a cohort of 307 812 patients who underwent DGT for hereditary cancer were separately queried to identify variants predicted to affect splicing. Data analysis was conducted from March 2016 and September 2018. MAIN OUTCOMES AND MEASURES Variant reclassification outcomes following RGT, clinical management changes associated with RGT-related variant reclassifications, and the proportion of patients who would likely be affected by a concurrent DGT and RGT multigene panel testing approach. RESULTS In total, 93 if 909 eligible families (10.2%) submitted samples for RGT. Evidence from RGT clarified the interpretation of 49 of 56 inconclusive cases (88%) studied; 26 (47%) were reclassified as clinically actionable and 23 (41%) were clarified as benign. Variant reclassifications based on RGT results changed clinical management recommendations for 8 of 18 patients (44%) and 14 of 18 families (78%), based on responses from 18 of 45 clinicians (40%) surveyed. A total of 7265 of 307 812 patients who underwent DGT had likely pathogenic variants or variants of uncertain significance potentially affecting splicing, indicating that approximately 1 in 43 individuals could benefit from RGT. CONCLUSIONS AND RELEVANCE In this diagnostic study, conducting RNA testing resolved a substantial proportion of variants of uncertain significance in a cohort of individuals previously tested for cancer predisposition by DGT. Performing RGT might change the diagnostic outcome of at least 1 in 43 patients if performed in all individuals undergoing genetic evaluation for hereditary cancer.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Suzette Farber-Katz
- Ambry Genetics, Aliso Viejo, California
- now with Merck Research Laboratories, South San Francisco, California
| | - Huma Q. Rana
- Department of Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Samantha Culver
- Department of Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - John Lee
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Sarah Nashed
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick
| | - Deborah Toppmeyer
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick
| | | | | | | | | | | | | | - Elizabeth Chao
- Ambry Genetics, Aliso Viejo, California
- Department of Pediatrics, School of Medicine, University of California, Irvine
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17
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Montalban G, Bonache S, Moles-Fernández A, Gadea N, Tenés A, Torres-Esquius S, Carrasco E, Balmaña J, Diez O, Gutiérrez-Enríquez S. Incorporation of semi-quantitative analysis of splicing alterations for the clinical interpretation of variants in BRCA1 and BRCA2 genes. Hum Mutat 2019; 40:2296-2317. [PMID: 31343793 DOI: 10.1002/humu.23882] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 07/21/2019] [Accepted: 07/22/2019] [Indexed: 12/15/2022]
Abstract
BRCA1 and BRCA2 (BRCA1/2) genetic variants that disrupt messenger RNA splicing are commonly associated with increased risks of developing breast/ovarian cancer. The majority of splicing studies published to date rely on qualitative methodologies (i.e., Sanger sequencing), but it is necessary to incorporate semi-quantitative or quantitative approaches to accurately interpret the clinical significance of spliceogenic variants. Here, we characterize the splicing impact of 31 BRCA1/2 variants using semi-quantitative capillary electrophoresis of fluorescent amplicons (CE), Sanger sequencing and allele-specific assays. A total of 14 variants were found to disrupt splicing. Allelic-specific assays could be performed for BRCA1 c.302-1G>A and BRCA2 c.516+2T>A, c.1909+1G>A, c.8332-13T>G, c.8332-2A>G, c.8954-2A>T variants, showing a monoallelic contribution to full-length transcript expression that was concordant with semi-quantitative data. The splicing fraction of alternative and aberrant transcripts was also measured by CE, facilitating variant interpretation. Following Evidence-based Network for the Interpretation of Germline Mutant Alleles criteria, we successfully classified eight variants as pathogenic (Class 5), five variants as likely pathogenic (Class 4), and 14 variants as benign (Class 1). We also provide splicing data for four variants classified as uncertain (Class 3), which produced a "leaky" splicing effect or introduced a missense change in the protein sequence, that will require further assessment to determine their clinical significance.
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Affiliation(s)
- Gemma Montalban
- Oncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Sandra Bonache
- Oncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | | | - Neus Gadea
- High Risk and Cancer Prevention Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.,Medical Oncology Department, University Hospital of Vall d'Hebron, Barcelona, Spain
| | - Anna Tenés
- Area of Clinical and Molecular Genetics, University Hospital of Vall d'Hebron, Barcelona, Spain
| | - Sara Torres-Esquius
- High Risk and Cancer Prevention Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Estela Carrasco
- High Risk and Cancer Prevention Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Judith Balmaña
- High Risk and Cancer Prevention Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.,Medical Oncology Department, University Hospital of Vall d'Hebron, Barcelona, Spain
| | - Orland Diez
- Oncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.,Area of Clinical and Molecular Genetics, University Hospital of Vall d'Hebron, Barcelona, Spain
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18
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Jankelson L, Zimmermann H, Fowler S, Borneman L, Conner B, Wu S, Karam R, Chinitz L, Cerrone M. Impact of RNA testing on cardiac variant interpretation and patient management. HeartRhythm Case Rep 2019; 5:402-406. [PMID: 31453089 PMCID: PMC6700669 DOI: 10.1016/j.hrcr.2019.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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19
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Fraile-Bethencourt E, Valenzuela-Palomo A, Díez-Gómez B, Caloca MJ, Gómez-Barrero S, Velasco EA. Minigene Splicing Assays Identify 12 Spliceogenic Variants of BRCA2 Exons 14 and 15. Front Genet 2019; 10:503. [PMID: 31191615 PMCID: PMC6546720 DOI: 10.3389/fgene.2019.00503] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 05/07/2019] [Indexed: 12/11/2022] Open
Abstract
A relevant fraction of BRCA2 variants is associated with splicing alterations and with an increased risk of hereditary breast and ovarian cancer (HBOC). In this work, we have carried out a thorough study of variants from BRCA2 exons 14 and 15 reported at mutation databases. A total of 294 variants from exons 14 and 15 and flanking intronic sequences were analyzed with the online splicing tools NNSplice and Human Splicing Finder. Fifty-three out of these 294 variants were selected as candidate splicing variants. All variants but one, were introduced into the minigene MGBR2_ex14-20 (with exons 14–20) by site-directed mutagenesis and assayed in MCF-7 cells. Twelve of the remaining 52 variants (23.1%) impaired splicing at different degrees, yielding from 5 to 100% of aberrant transcripts. Nine variants affected the natural acceptor or donor sites of both exons and three affected putative enhancers or silencers. Fluorescent capillary electrophoresis revealed at least 10 different anomalous transcripts: (E14q5), Δ (E14p10), Δ(E14p246), Δ(E14q256), Δ(E14), Δ(E15p12), Δ(E15p13), Δ(E15p83), Δ(E15) and a 942-nt fragment of unknown structure. All transcripts, except for Δ(E14q256) and Δ(E15p12), are expected to truncate the BRCA2 protein. Nine variants induced severe splicing aberrations with more than 90% of abnormal transcripts. Thus, according to the guidelines of the American College of Medical Genetics and Genomics, eight variants should be classified as pathogenic (c.7008-2A > T, c.7008-1G > A, c.7435+1G > C, c.7436-2A > T, c.7436-2A > G, c.7617+1G > A, c.7617+1G > T, and c.7617+2T > G), one as likely pathogenic (c.7008-3C > G) and three remain as variants of uncertain clinical significance or VUS (c.7177A > G, c.7447A > G and c.7501C > T). In conclusion, functional assays by minigenes constitute a valuable strategy to primarily check the splicing impact of DNA variants and their clinical interpretation. While bioinformatics predictions of splice site variants were accurate, those of enhancer or silencer variants were poor (only 3/23 spliceogenic variants) which showed weak impacts on splicing (∼5–16% of aberrant isoforms). So, the Exonic Splicing Enhancer and Silencer (ESE and ESS, respectively) prediction algorithms require further improvement.
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Affiliation(s)
- Eugenia Fraile-Bethencourt
- Splicing and Genetic Susceptibility to Cancer, Instituto de Biología y Genética Molecular (CSIC-UVa), Valladolid, Spain
| | - Alberto Valenzuela-Palomo
- Splicing and Genetic Susceptibility to Cancer, Instituto de Biología y Genética Molecular (CSIC-UVa), Valladolid, Spain
| | - Beatriz Díez-Gómez
- Splicing and Genetic Susceptibility to Cancer, Instituto de Biología y Genética Molecular (CSIC-UVa), Valladolid, Spain
| | - María José Caloca
- 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
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Lee K, Krempely K, Roberts ME, Anderson MJ, Carneiro F, Chao E, Dixon K, Figueiredo J, Ghosh R, Huntsman D, Kaurah P, Kesserwan C, Landrith T, Li S, Mensenkamp AR, Oliveira C, Pardo C, Pesaran T, Richardson M, Slavin TP, Spurdle AB, Trapp M, Witkowski L, Yi CS, Zhang L, Plon SE, Schrader KA, Karam R. Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline CDH1 sequence variants. Hum Mutat 2018; 39:1553-1568. [PMID: 30311375 PMCID: PMC6188664 DOI: 10.1002/humu.23650] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 08/30/2018] [Accepted: 09/06/2018] [Indexed: 12/22/2022]
Abstract
The variant curation guidelines published in 2015 by the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) provided the genetics community with a framework to assess variant pathogenicity; however, these rules are not gene specific. Germline pathogenic variants in the CDH1 gene cause hereditary diffuse gastric cancer and lobular breast cancer, a clinically challenging cancer predisposition syndrome that often requires a multidisciplinary team of experts to be properly managed. Given this challenge, the Clinical Genome Resource (ClinGen) Hereditary Cancer Domain prioritized the development of the CDH1 variant curation expert panel (VCEP) to develop and implement rules for CDH1 variant classifications. Here, we describe the CDH1 specifications of the ACMG/AMP guidelines, which were developed and validated after a systematic evaluation of variants obtained from a cohort of clinical laboratory data encompassing ∼827,000 CDH1 sequenced alleles. Comparing previously reported germline variants that were classified using the 2015 ACMG/AMP guidelines to the CDH1 VCEP recommendations resulted in reduced variants of uncertain significance and facilitated resolution of variants with conflicted assertions in ClinVar. The ClinGen CDH1 VCEP recommends the use of these CDH1-specific guidelines for the assessment and classification of variants identified in this clinically actionable gene.
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Affiliation(s)
- Kristy Lee
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | | | - Fatima Carneiro
- Institute for Research and Innovation in Health of the University of Porto, Instituto de Investigação e Inovação em Saúde – (i3S), Faculty of Medicine – University of Porto, Porto, PRT
| | - Elizabeth Chao
- Ambry Genetics, Aliso Viejo, CA, USA
- University of California Irvine, Irvine, CA, USA
| | | | - Joana Figueiredo
- Institute for Research and Innovation in Health of the University of Porto, Instituto de Investigação e Inovação em Saúde – (i3S), Faculty of Medicine – University of Porto, Porto, PRT
| | | | | | | | | | | | - Shuwei Li
- Ambry Genetics, Aliso Viejo, CA, USA
| | | | - Carla Oliveira
- Institute for Research and Innovation in Health of the University of Porto, Instituto de Investigação e Inovação em Saúde – (i3S), Faculty of Medicine – University of Porto, Porto, PRT
| | | | | | | | - Thomas P. Slavin
- Department of Medical Oncology and Therapeutics Research, City of Hope, Duarte, CA, USA
| | | | - Mackenzie Trapp
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Leora Witkowski
- Laboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge, MA, USA
| | | | | | | | - Kasmintan A. Schrader
- Institute for Research and Innovation in Health of the University of Porto, Instituto de Investigação e Inovação em Saúde – (i3S), Faculty of Medicine – University of Porto, Porto, PRT
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