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Wang Y, Liu T, Jia C, Xiao L, Wang W, Zhang Y, Xiang Y, Huang L, Yu J. A novel variant in the SPTB gene underlying hereditary spherocytosis and a literature review of previous variants. BMC Med Genomics 2024; 17:206. [PMID: 39135028 PMCID: PMC11318180 DOI: 10.1186/s12920-024-01973-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 07/29/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Hereditary spherocytosis (HS, MIM#612641) is one of the most common hereditary hemolytic disorders. This study aimed to confirm a novel variant's pathogenicity and reveal a patient's genetic etiology. METHODS The clinical data of a patient with HS who underwent genetic sequencing at the Children's Hospital of Chongqing Medical University were reviewed retrospectively. In silico prediction and in vitro minigene splicing reporter system were then conducted on the detected variant to analyze its intramolecular impact. A summary of the literature related to HS due to SPTB gene variants was also presented. RESULTS A novel variant (c.301-2 A > G) in the SPTB gene (NM_001024858.4) was identified in the proband. Using Sanger sequencing, we conclusively confirmed that the inheritance of the variant could not be traced to the biological parents. The in vitro minigene assay revealed three different transcripts derived from the c.301-2 A > G variant: r.301_474del, r.301_306delCCAAAG, and r.301-1_301-57ins. Through a literature review, patients with HS who had been genotypically validated were summarized and the SPTB gene variant profile was mapped. CONCLUSION We identified a splicing variant of the SPTB gene, thus confirming its aberrant translation. The novel variant was the probable genetic etiology of the proband with HS. Our findings expanded the variant spectrum of the SPTB gene, thus improving the understanding of the associated hereditary hemolytic disorders from a clinical and molecular perspective and contributing to the foundation of genetic counseling and diagnosis.
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Affiliation(s)
- Yang Wang
- Department of Hematology and Oncology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolismand Inflammatory Diseases, Children's Hospital of Chongqing Medical University, 136 Zhongshanerlu, Yu Zhong district, Chongqing, 400014, China
| | - Tao Liu
- Department of Hematology and Oncology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolismand Inflammatory Diseases, Children's Hospital of Chongqing Medical University, 136 Zhongshanerlu, Yu Zhong district, Chongqing, 400014, China
| | - Chenxi Jia
- Chongqing Key Laboratory of Structural Birth Defect and Reconstruction, Chongqing, China
| | - Li Xiao
- Department of Hematology and Oncology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolismand Inflammatory Diseases, Children's Hospital of Chongqing Medical University, 136 Zhongshanerlu, Yu Zhong district, Chongqing, 400014, China
| | - Wen Wang
- Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Yongjie Zhang
- Department of Hematology and Oncology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolismand Inflammatory Diseases, Children's Hospital of Chongqing Medical University, 136 Zhongshanerlu, Yu Zhong district, Chongqing, 400014, China
| | - Yan Xiang
- Department of Hematology and Oncology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolismand Inflammatory Diseases, Children's Hospital of Chongqing Medical University, 136 Zhongshanerlu, Yu Zhong district, Chongqing, 400014, China
| | - Lan Huang
- Department of Hematology and Oncology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolismand Inflammatory Diseases, Children's Hospital of Chongqing Medical University, 136 Zhongshanerlu, Yu Zhong district, Chongqing, 400014, China
| | - Jie Yu
- Department of Hematology and Oncology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolismand Inflammatory Diseases, Children's Hospital of Chongqing Medical University, 136 Zhongshanerlu, Yu Zhong district, Chongqing, 400014, China.
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Parsons MT, de la Hoya M, Richardson ME, Tudini E, Anderson M, Berkofsky-Fessler W, Caputo SM, Chan RC, Cline MS, Feng BJ, Fortuno C, Gomez-Garcia E, Hadler J, Hiraki S, Holdren M, Houdayer C, Hruska K, James P, Karam R, Leong HS, Martins A, Mensenkamp AR, Monteiro AN, Nathan V, O'Connor R, Pedersen IS, Pesaran T, Radice P, Schmidt G, Southey M, Tavtigian S, Thompson BA, Toland AE, Turnbull C, Vogel MJ, Weyandt J, Wiggins GAR, Zec L, Couch FJ, Walker LC, Vreeswijk MPG, Goldgar DE, Spurdle AB. Evidence-based recommendations for gene-specific ACMG/AMP variant classification from the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel. Am J Hum Genet 2024:S0002-9297(24)00257-X. [PMID: 39142283 DOI: 10.1016/j.ajhg.2024.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 07/17/2024] [Accepted: 07/17/2024] [Indexed: 08/16/2024] Open
Abstract
The ENIGMA research consortium develops and applies methods to determine clinical significance of variants in hereditary breast and ovarian cancer genes. An ENIGMA BRCA1/2 classification sub-group, formed in 2015 as a ClinGen external expert panel, evolved into a ClinGen internal Variant Curation Expert Panel (VCEP) to align with Food and Drug Administration recognized processes for ClinVar contributions. The VCEP reviewed American College of Medical Genetics and Genomics/Association of Molecular Pathology (ACMG/AMP) classification criteria for relevance to interpreting BRCA1 and BRCA2 variants. Statistical methods were used to calibrate evidence strength for different data types. Pilot specifications were tested on 40 variants and documentation revised for clarity and ease of use. The original criterion descriptions for 13 evidence codes were considered non-applicable or overlapping with other criteria. Scenario of use was extended or re-purposed for eight codes. Extensive analysis and/or data review informed specification descriptions and weights for all codes. Specifications were applied to pilot variants with pre-existing ClinVar classification as follows: 13 uncertain significance or conflicting, 14 pathogenic and/or likely pathogenic, and 13 benign and/or likely benign. Review resolved classification for 11/13 uncertain significance or conflicting variants and retained or improved confidence in classification for the remaining variants. Alignment of pre-existing ENIGMA research classification processes with ACMG/AMP classification guidelines highlighted several gaps in the research processes and the baseline ACMG/AMP criteria. Calibration of evidence strength was key to justify utility and strength of different data types for gene-specific application. The gene-specific criteria demonstrated value for improving ACMG/AMP-aligned classification of BRCA1 and BRCA2 variants.
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Affiliation(s)
- Michael T Parsons
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
| | - Miguel de la Hoya
- Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC, 28040 Madrid Spain
| | | | - Emma Tudini
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | | | | | - Sandrine M Caputo
- Department of Genetics, Institut Curie, and Paris Sciences Lettres Research University, 75005 Paris, France
| | | | - Melissa S Cline
- UC Santa Cruz Genomics Institute, Genomics, University of California, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Bing-Jian Feng
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Cristina Fortuno
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Encarna Gomez-Garcia
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Johanna Hadler
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | | | - Megan Holdren
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Claude Houdayer
- University Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics, FHU G4 Génomique, F-76000 Rouen, France
| | | | - Paul James
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Rachid Karam
- Ambry Genetics Corporation, Aliso Viejo, CA 92656, USA
| | - Huei San Leong
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC 3052, Australia
| | | | - Arjen R Mensenkamp
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Vaishnavi Nathan
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | | | - Inge Sokilde Pedersen
- Molecular Diagnostics, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Tina Pesaran
- Ambry Genetics Corporation, Aliso Viejo, CA 92656, USA
| | - Paolo Radice
- Predictive Medicine: Molecular Bases of Genetic Risk, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale Dei Tumori, Via Venezian 1, 20133 Milano, Italy
| | - Gunnar Schmidt
- Institute of Human Genetics, Hannover Medical School, 30625 Hannover, Germany
| | - Melissa Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Department of Clinical Pathology, The Melbourne Medical School, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Sean Tavtigian
- Department of Oncological Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84132, USA
| | - Bryony A Thompson
- Department of Pathology, Royal Melbourne Hospital, Melbourne, VIC 3050, Australia
| | - Amanda E Toland
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Clare Turnbull
- Translational Genetics Team, Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Maartje J Vogel
- Department of Human Genetics, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Jamie Weyandt
- Ambry Genetics Corporation, Aliso Viejo, CA 92656, USA
| | - George A R Wiggins
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | | | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Logan C Walker
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Maaike P G Vreeswijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Amanda B Spurdle
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.
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Ding Q, Hofich CD, Kellogg TB, Kuennen RK, Paxton KN, Thieke SM, Rumilla KM, Hasadsri L. Accurate and Automated Genotyping of the CFTR Poly-T/TG Tract with CFTR-TIPS. Int J Mol Sci 2024; 25:8533. [PMID: 39126101 PMCID: PMC11313279 DOI: 10.3390/ijms25158533] [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] [Received: 06/12/2024] [Revised: 07/22/2024] [Accepted: 08/03/2024] [Indexed: 08/12/2024] Open
Abstract
Cystic fibrosis is caused by biallelic pathogenic variants in the CFTR gene, which contains a polymorphic (TG)mTn sequence (the "poly-T/TG tract") in intron 9. While T9 and T7 alleles are benign, T5 alleles with longer TG repeats, e.g., (TG)12T5 and (TG)13T5, are clinically significant. Thus, professional medical societies currently recommend reporting the TG repeat size when T5 is detected. Sanger sequencing is a cost-effective method of genotyping the (TG)mTn tract; however, its polymorphic length substantially complicates data analysis. We developed CFTR-TIPS, a freely available web-based software tool that infers the (TG)mTn genotype from Sanger sequencing data. This tool detects the (TG)mTn tract in the chromatograms, quantifies goodness of fit with expected patterns, and visualizes the results in a graphical user interface. It is broadly compatible with any Sanger chromatogram that contains the (TG)mTn tract ± 15 bp. We evaluated CFTR-TIPS using 835 clinical samples previously analyzed in a CLIA-certified, CAP-accredited laboratory. When operated fully automatically, CFTR-TIPS achieved 99.8% concordance with our clinically validated manual workflow, while generally taking less than 10 s per sample. There were two discordant samples: one due to a co-occurring heterozygous duplication that confounded the tool and the other due to incomplete (TG)mTn tract detection in the reverse chromatogram. No clinically significant misclassifications were observed. CFTR-TIPS is a free, accurate, and rapid tool for CFTR (TG)mTn tract genotyping using cost-effective Sanger sequencing. This tool is suitable both for automated use and as an aid to manual review to enhance accuracy and reduce analysis time.
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Affiliation(s)
| | | | | | | | | | | | | | - Linda Hasadsri
- Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
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Zhou L, Yang M, Mei M, Mai Z, Li X, Deng K, Chen S, Lin S, Li Y, Jiang W, Chen H, He Z, Yuan P. Exploring the role of non-canonical splice site variants in aberrant splicing associated with reproductive genetic disorders. Clin Genet 2024. [PMID: 39103988 DOI: 10.1111/cge.14604] [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: 05/22/2024] [Revised: 07/05/2024] [Accepted: 07/26/2024] [Indexed: 08/07/2024]
Abstract
Whole-exome sequencing (WES) is frequently utilized in diagnosing reproductive genetic disorders to identify various genetic variants. Canonical ±1,2 splice sites are typically considered highly pathogenic, while variants at the 5' or 3' ends of exon boundaries are often considered synonymous or missense variants, with their potential impact on abnormal gene splicing frequently overlooked. In this study, we identified five variants located at the last two bases of the exons and two canonical splicing variants in five distinct families affected by reproductive genetic disorders through WES. Minigene analysis, RT-PCR and Quantitative Real-time PCR (RT-qPCR) confirmed that all seven variants induced aberrant splicing, with six variants altering gene transcriptional expression levels. These findings underscore the crucial role of splice variants, particularly non-canonical splice sites variants, in reproductive genetic disorders, with all identified variants classified as pathogenic.
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Affiliation(s)
- Ling Zhou
- IVF Center, Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Min Yang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Mei Mei
- IVF Center, Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Zhuoyao Mai
- IVF Center, Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Xiaojuan Li
- Cellular and Molecular Diagnostics Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Kewen Deng
- IVF Center, Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Shiyi Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Siyuan Lin
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Yinshi Li
- IVF Center, Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Weilun Jiang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Hui Chen
- IVF Center, Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Zuyong He
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Ping Yuan
- IVF Center, Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
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5
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Oh RY, AlMail A, Cheerie D, Guirguis G, Hou H, Yuki KE, Haque B, Thiruvahindrapuram B, Marshall CR, Mendoza-Londono R, Shlien A, Kyriakopoulou LG, Walker S, Dowling JJ, Wilson MD, Costain G. A systematic assessment of the impact of rare canonical splice site variants on splicing using functional and in silico methods. HGG ADVANCES 2024; 5:100299. [PMID: 38659227 PMCID: PMC11144818 DOI: 10.1016/j.xhgg.2024.100299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 04/18/2024] [Accepted: 04/18/2024] [Indexed: 04/26/2024] Open
Abstract
Canonical splice site variants (CSSVs) are often presumed to cause loss-of-function (LoF) and are assigned very strong evidence of pathogenicity (according to American College of Medical Genetics/Association for Molecular Pathology criterion PVS1). The exact nature and predictability of splicing effects of unselected rare CSSVs in blood-expressed genes are poorly understood. We identified 168 rare CSSVs in blood-expressed genes in 112 individuals using genome sequencing, and studied their impact on splicing using RNA sequencing (RNA-seq). There was no evidence of a frameshift, nor of reduced expression consistent with nonsense-mediated decay, for 25.6% of CSSVs: 17.9% had wildtype splicing only and normal junction depths, 3.6% resulted in cryptic splice site usage and in-frame insertions or deletions, 3.6% resulted in full exon skipping (in frame), and 0.6% resulted in full intron inclusion (in frame). Blind to these RNA-seq data, we attempted to predict the precise impact of CSSVs by applying in silico tools and the ClinGen Sequence Variant Interpretation Working Group 2018 guidelines for applying PVS1 criterion. The predicted impact on splicing using (1) SpliceAI, (2) MaxEntScan, and (3) AutoPVS1, an automatic classification tool for PVS1 interpretation of null variants that utilizes Ensembl Variant Effect Predictor and MaxEntScan, was concordant with RNA-seq analyses for 65%, 63%, and 61% of CSSVs, respectively. In summary, approximately one in four rare CSSVs did not show evidence for LoF based on analysis of RNA-seq data. Predictions from in silico methods were often discordant with findings from RNA-seq. More caution may be warranted in applying PVS1-level evidence to CSSVs in the absence of functional data.
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Affiliation(s)
- Rachel Y Oh
- Division of Clinical and Metabolic Genetics, Hospital for Sick Children, Toronto, ON, Canada; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Ali AlMail
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
| | - David Cheerie
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - George Guirguis
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Huayun Hou
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
| | - Kyoko E Yuki
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Division of Genome Diagnostics, Hospital for Sick Children, Toronto, ON, Canada
| | - Bushra Haque
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | | | - Christian R Marshall
- Division of Genome Diagnostics, Hospital for Sick Children, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Roberto Mendoza-Londono
- Division of Clinical and Metabolic Genetics, Hospital for Sick Children, Toronto, ON, Canada; Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Paediatrics, University of Toronto, Toronto, ON, Canada
| | - Adam Shlien
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Division of Genome Diagnostics, Hospital for Sick Children, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Lianna G Kyriakopoulou
- Division of Genome Diagnostics, Hospital for Sick Children, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Susan Walker
- The Centre for Applied Genomics, SickKids Research Institute, Toronto, ON, Canada
| | - James J Dowling
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Department of Paediatrics, University of Toronto, Toronto, ON, Canada; Division of Neurology, Hospital for Sick Children, Toronto, ON, Canada
| | - Michael D Wilson
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Gregory Costain
- Division of Clinical and Metabolic Genetics, Hospital for Sick Children, Toronto, ON, Canada; Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Department of Paediatrics, University of Toronto, Toronto, ON, Canada.
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6
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Villani RM, McKenzie ME, Davidson AL, Spurdle AB. Regional-specific calibration enables application of computational evidence for clinical classification of 5' cis-regulatory variants in Mendelian disease. Am J Hum Genet 2024; 111:1301-1315. [PMID: 38815586 PMCID: PMC11267523 DOI: 10.1016/j.ajhg.2024.05.002] [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] [Received: 12/21/2023] [Revised: 05/02/2024] [Accepted: 05/03/2024] [Indexed: 06/01/2024] Open
Abstract
To date, clinical genetic testing for Mendelian disease variants has focused heavily on exonic coding and intronic gene regions. This multi-step study was undertaken to provide an evidence base for selecting and applying computational approaches for use in clinical classification of 5' cis-regulatory region variants. Curated datasets of clinically reported disease-causing 5' cis-regulatory region variants and variants from matched genomic regions in population controls were used to calibrate six bioinformatic tools as predictors of variant pathogenicity. Likelihood ratio estimates were aligned to code weights following ClinGen recommendations for application of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) classification scheme. Considering code assignment across all reference dataset variants, performance was best for CADD (81.2%) and REMM (81.5%). Optimized thresholds provided moderate evidence toward pathogenicity (CADD, REMM) and moderate (CADD) or supporting (REMM) evidence against pathogenicity. Both sensitivity and specificity of prediction were improved when further categorizing variants based on location in an EPDnew-defined promoter region. Combining predictions (CADD, REMM, and location in a promoter region) increased specificity at the expense of sensitivity. Importantly, the optimal CADD thresholds for assigning ACMG/AMP codes PP3 (≥10) and BP4 (≤8) were vastly different from recommendations for protein-coding variants (PP3 ≥25.3; BP4 ≤22.7); CADD <22.7 would incorrectly assign BP4 for >90% of reported disease-causing cis-regulatory region variants. Our results demonstrate the need to consider a tiered approach and tailored score thresholds to optimize bioinformatic impact prediction for clinical classification of 5' cis-regulatory region variants.
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Affiliation(s)
- Rehan M Villani
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Maddison E McKenzie
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Aimee L Davidson
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Amanda B Spurdle
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; University of Queensland, Brisbane, Queensland, Australia.
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7
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Bernhardt I, Frajman LE, Ryder B, Andersen E, Wilson C, McKeown C, Anderson T, Coman D, Vincent AL, Buchanan C, Roxburgh R, Pitt J, De Hora M, Christodoulou J, Thorburn DR, Wilson F, Drake KM, Leask M, Yardley AM, Merriman T, Robertson S, Compton AG, Glamuzina E. Further delineation of short-chain enoyl-CoA hydratase deficiency in the Pacific population. Mol Genet Metab 2024; 142:108508. [PMID: 38820906 DOI: 10.1016/j.ymgme.2024.108508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 06/02/2024]
Abstract
Short-chain enoyl-coA hydratase (SCEH) deficiency due to biallelic pathogenic ECHS1 variants was first reported in 2014 in association with Leigh syndrome (LS) and increased S-(2-carboxypropyl)cysteine excretion. It is potentially treatable with a valine-restricted, high-energy diet and emergency regimen. Recently, Simon et al. described four Samoan children harbouring a hypomorphic allele (c.489G > A, p.Pro163=) associated with reduced levels of normally-spliced mRNA. This synonymous variant, missed on standard genomic testing, is prevalent in the Samoan population (allele frequency 0.17). Patients with LS and one ECHS1 variant were identified in NZ and Australian genomic and clinical databases. ECHS1 sequence data were interrogated for the c.489G > A variant and clinical data were reviewed. Thirteen patients from 10 families were identified; all had Pacific ancestry including Samoan, Māori, Cook Island Māori, and Tokelauan. All developed bilateral globus pallidi lesions, excluding one pre-symptomatic infant. Symptom onset was in early childhood, and was triggered by illness or starvation in 9/13. Four of 13 had exercise-induced dyskinesia, 9/13 optic atrophy and 6/13 nystagmus. Urine S-(2-carboxypropyl)cysteine-carnitine and other SCEH-related metabolites were normal or mildly increased. Functional studies demonstrated skipping of exon four and markedly reduced ECHS1 protein. These data provide further support for the pathogenicity of this ECHS1 variant which is also prevalent in Māori, Cook Island Māori, and Tongan populations (allele frequency 0.14-0.24). It highlights the need to search for a second variant in apparent heterozygotes with an appropriate phenotype, and has implications for genetic counselling in family members who are heterozygous for the more severe ECHS1 alleles. SYNOPSIS: Short-chain enoyl-CoA hydratase deficiency is a frequent cause of Leigh-like disease in Māori and wider-Pacific populations, due to the high carrier frequency of a hypomorphic ECHS1 variant c.489G > A, p.[Pro163=, Phe139Valfs*65] that may be overlooked by standard genomic testing.
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Affiliation(s)
- Isaac Bernhardt
- Paediatric and Adult National Metabolic Service, Te Toka Tumai, Te Whatu Ora Health New Zealand, Auckland, New Zealand.
| | - Leah E Frajman
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, VIC, Australia
| | - Bryony Ryder
- Paediatric and Adult National Metabolic Service, Te Toka Tumai, Te Whatu Ora Health New Zealand, Auckland, New Zealand
| | - Erik Andersen
- Wellington Regional Hospital, Te Whatu Ora Health New Zealand, Wellington, New Zealand
| | - Callum Wilson
- Paediatric and Adult National Metabolic Service, Te Toka Tumai, Te Whatu Ora Health New Zealand, Auckland, New Zealand
| | - Colina McKeown
- Genetic Health Service New Zealand, Central Hub, Te Whatu Ora Health New Zealand, Wellington, New Zealand
| | - Tim Anderson
- New Zealand Brain Research Institute and Department of Medicine, University of Otago, Christchurch, New Zealand
| | - David Coman
- Queensland Lifespan Metabolic Medicine Service, Queensland Children's Hospital, School of Medicine, University of Queensland, Australia
| | - Andrea L Vincent
- Eye Department, Greenlane Clinical Centre, Te Toka Tumai, Te Whatu Ora Health New Zealand, Auckland, New Zealand; Department of Ophthalmology, New Zealand National Eye Centre, Faculty of Health and Medical Science, University of Auckland, New Zealand
| | - Christina Buchanan
- Neurology Department, Auckland City Hospital, Te Toka Tumai, Te Whatu Ora Health New Zealand,Auckland, New Zealand
| | - Richard Roxburgh
- Neurology Department, Auckland City Hospital, Te Toka Tumai, Te Whatu Ora Health New Zealand,Auckland, New Zealand
| | - James Pitt
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Melbourne, VIC, Australia
| | - Mark De Hora
- Specialist Chemical Pathology, LabPlus, Auckland City Hospital, Te Toka Tumai, Te Whatu Ora Health New Zealand, Auckland, New Zealand
| | - John Christodoulou
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Melbourne, VIC, Australia
| | - David R Thorburn
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Melbourne, VIC, Australia
| | - Francessa Wilson
- Department of Paediatric Radiology, Starship Children's Hospital, Te Toka Tumai, Te Whatu Ora Health New Zealand, Auckland, New Zealand
| | - Kylie M Drake
- Genetics, Canterbury Health Laboratories, Waitaha Canterbury, Te Whatu Ora Health New Zealand, Christchurch, New Zealand
| | - Megan Leask
- Department of Physiology, School of Biomedical Sciences, University of Otago, New Zealand; Department of Immunology and Rheumatology, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Anne-Marie Yardley
- Eye Department, Capital, Coast and Hutt Valley, Te Whatu Ora Health New Zealand, Wellington, New Zealand
| | - Tony Merriman
- Department of Immunology and Rheumatology, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA; Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Stephen Robertson
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, New Zealand
| | - Alison G Compton
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Melbourne, VIC, Australia
| | - Emma Glamuzina
- Paediatric and Adult National Metabolic Service, Te Toka Tumai, Te Whatu Ora Health New Zealand, Auckland, New Zealand
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8
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Fujinami K, Nishiguchi KM, Oishi A, Akiyama M, Ikeda Y. Specification of variant interpretation guidelines for inherited retinal dystrophy in Japan. Jpn J Ophthalmol 2024; 68:389-399. [PMID: 39078460 DOI: 10.1007/s10384-024-01063-5] [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] [Received: 10/23/2023] [Accepted: 12/12/2023] [Indexed: 07/31/2024]
Abstract
Accurate interpretation of sequence variants in inherited retinal dystrophy (IRD) is vital given the significant genetic heterogeneity observed in this disorder. To achieve consistent and accurate diagnoses, establishment of standardized guidelines for variant interpretation is essential. The American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines for variant interpretation serve as the global "cross-disease" standard for classifying variants in Mendelian hereditary disorders. These guidelines propose a systematic approach for categorizing variants into 5 classes based on various types of evidence, such as population data, computational data, functional data, and segregation data. However, for clinical genetic diagnosis and to ensure standardized diagnosis and treatment criteria, additional specifications based on features associated with each disorder are necessary. In this context, we present a comprehensive framework outlining the newly specified ACMG/AMP rules tailored explicitly to IRD in the Japanese population on behalf of the Research Group on Rare and Intractable Diseases (Ministry of Health, Labour and Welfare of Japan). These guidelines consider disease frequencies, allele frequencies, and both the phenotypic and the genotypic characteristics unique to IRD in the Japanese population. Adjustments and modifications have been incorporated to reflect the specific requirements of the population. By incorporating these IRD-specific factors and refining the existing ACMG/AMP guidelines, we aim to enhance the accuracy and consistency of variant interpretation in IRD cases, particularly in the Japanese population. These guidelines serve as a valuable resource for ophthalmologists and clinical geneticists involved in the diagnosis and treatment of IRD, providing them with a standardized framework to assess and classify genetic variants.
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Affiliation(s)
- Kaoru Fujinami
- Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, NHO Tokyo Medical Center, Tokyo, 152-8902, Japan
| | - Koji M Nishiguchi
- Department of Ophthalmology, Nagoya University Graduate School of Medicine, 65 Tsurumai, Showa-ku, Nagoya, 466-8550, Japan.
| | - Akio Oishi
- Department of Ophthalmology and Visual Sciences, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, 852-8501, Japan
| | - Masato Akiyama
- Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
| | - Yasuhiro Ikeda
- Department of Ophthalmology, Faculty of Medicine, University of Miyazaki, Miyazaki, 889-1692, Japan
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9
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Schoch K, Ruegg MSG, Fellows BJ, Cao J, Uhrig S, Einsele-Scholz S, Biskup S, Hawarden SRA, Salpietro V, Capra V, Brown CM, Accogli A, Shashi V, Bicknell LS. A second hotspot for pathogenic exon-skipping variants in CDC45. Eur J Hum Genet 2024; 32:786-794. [PMID: 38467731 PMCID: PMC11219862 DOI: 10.1038/s41431-024-01583-1] [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] [Received: 12/16/2023] [Revised: 02/13/2024] [Accepted: 02/26/2024] [Indexed: 03/13/2024] Open
Abstract
Biallelic pathogenic variants in CDC45 are associated with Meier-Gorlin syndrome with craniosynostosis (MGORS type 7), which also includes short stature and absent/hypoplastic patellae. Identified variants act through a hypomorphic loss of function mechanism, to reduce CDC45 activity and impact DNA replication initiation. In addition to missense and premature termination variants, several pathogenic synonymous variants have been identified, most of which cause increased exon skipping of exon 4, which encodes an essential part of the RecJ-orthologue's DHH domain. Here we have identified a second cohort of families segregating CDC45 variants, where patients have craniosynostosis and a reduction in height, alongside common facial dysmorphisms, including thin eyebrows, consistent with MGORS7. Skipping of exon 15 is a consequence of two different variants, including a shared synonymous variant that is enriched in individuals of East Asian ancestry, while other variants in trans are predicted to alter key intramolecular interactions in α/β domain II, or cause retention of an intron within the 3'UTR. Our cohort and functional data confirm exon skipping is a relatively common pathogenic mechanism in CDC45, and highlights the need for alternative splicing events, such as exon skipping, to be especially considered for variants initially predicted to be less likely to cause the phenotype, particularly synonymous variants.
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Affiliation(s)
- Kelly Schoch
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Mischa S G Ruegg
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Bridget J Fellows
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Joseph Cao
- Division of Pediatric Radiology, Department of Radiology Duke University School of Medicine, Durham, NC, USA
| | - Sabine Uhrig
- Institute of Clinical Genetics, Klinikum Stuttgart, Stuttgart, Germany
| | | | - Saskia Biskup
- Center for Human Genetics Tuebingen and CeGaT GmbH, Tuebingen, Germany
| | - Samuel R A Hawarden
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Vincenzo Salpietro
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Valeria Capra
- Genomics and Clinical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Chris M Brown
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Andrea Accogli
- Department of Specialized Medicine, Division of Medical Genetics, McGill University Health Centre, Montreal, QC, Canada
- Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Vandana Shashi
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Louise S Bicknell
- Department of Biochemistry, University of Otago, Dunedin, New Zealand.
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10
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Houge G, Bratland E, Aukrust I, Tveten K, Žukauskaitė G, Sansovic I, Brea-Fernández AJ, Mayer K, Paakkola T, McKenna C, Wright W, Markovic MK, Lildballe DL, Konecny M, Smol T, Alhopuro P, Gouttenoire EA, Obeid K, Todorova A, Jankovic M, Lubieniecka JM, Stojiljkovic M, Buisine MP, Haukanes BI, Lorans M, Roomere H, Petit FM, Haanpää MK, Beneteau C, Pérez B, Plaseska-Karanfilska D, Rath M, Fuhrmann N, Ferreira BI, Stephanou C, Sjursen W, Maver A, Rouzier C, Chirita-Emandi A, Gonçalves J, Kuek WCD, Broly M, Haer-Wigman L, Thong MK, Tae SK, Hyblova M, den Dunnen JT, Laner A. Comparison of the ABC and ACMG systems for variant classification. Eur J Hum Genet 2024; 32:858-863. [PMID: 38778080 PMCID: PMC11219933 DOI: 10.1038/s41431-024-01617-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 04/11/2024] [Accepted: 04/18/2024] [Indexed: 05/25/2024] Open
Abstract
The ABC and ACMG variant classification systems were compared by asking mainly European clinical laboratories to classify variants in 10 challenging cases using both systems, and to state if the variant in question would be reported as a relevant result or not as a measure of clinical utility. In contrast to the ABC system, the ACMG system was not made to guide variant reporting but to determine the likelihood of pathogenicity. Nevertheless, this comparison is justified since the ACMG class determines variant reporting in many laboratories. Forty-three laboratories participated in the survey. In seven cases, the classification system used did not influence the reporting likelihood when variants labeled as "maybe report" after ACMG-based classification were included. In three cases of population frequent but disease-associated variants, there was a difference in favor of reporting after ABC classification. A possible reason is that ABC step C (standard variant comments) allows a variant to be reported in one clinical setting but not another, e.g., based on Bayesian-based likelihood calculation of clinical relevance. Finally, the selection of ACMG criteria was compared between 36 laboratories. When excluding criteria used by less than four laboratories (<10%), the average concordance rate was 46%. Taken together, ABC-based classification is more clear-cut than ACMG-based classification since molecular and clinical information is handled separately, and variant reporting can be adapted to the clinical question and phenotype. Furthermore, variants do not get a clinically inappropriate label, like pathogenic when not pathogenic in a clinical context, or variant of unknown significance when the significance is known.
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Affiliation(s)
- Gunnar Houge
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.
| | - Eirik Bratland
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ingvild Aukrust
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Kristian Tveten
- Department of Medical Genetics, Telemark Hospital Trust, Skien, Norway
| | - Gabrielė Žukauskaitė
- Department of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Ivona Sansovic
- Department of Medical and Laboratory Genetics, Endocrinology and Diabetology, Childrens' Hospital Zagreb, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Alejandro J Brea-Fernández
- Grupo de Medicina Xenómica, Universidade de Santiago de Compostela, CIBERER), Santiago de Compostela, Spain
| | - Karin Mayer
- Center for Human Genetics and Laboratory Diagnostics, MVZ Martinsried GmbH, Martinsried, Germany
| | - Teija Paakkola
- Nordlab Wellbeing Service Group, Genetics Laboratory, Oulu, Finland
| | - Caoimhe McKenna
- Northern Ireland Regional Molecular Diagnostic Service, Belfast, Northern Ireland
| | - William Wright
- Northern Ireland Regional Molecular Diagnostic Service, Belfast, Northern Ireland
| | - Milica Keckarevic Markovic
- Center for Applied and Forensic Molecular Genetics, Faculty of Biology, University of Belgrade, Belgrade, Serbia
| | - Dorte L Lildballe
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Michal Konecny
- Laboratory of Genomic Medicine, GHC GENETICS SK, Bratislava, Slovakia
- Department of Biology, Institute of Biology and Biotechnology, Faculty of Natural Sciences, University of ss. Cyril and Methodius in Trnava, Trnava, Slovakia
| | - Thomas Smol
- Institut de Genetique Medicale-CHU Lille, Lille, France
| | - Pia Alhopuro
- HUS Diagnostic Center, Laboratory of Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | | | - Katharina Obeid
- Molecular Diagnostics, Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Albena Todorova
- Genetic Medico-Diagnostic Laboratory "Genica" and Genome Center Bulgaria, Sofia, Bulgaria
| | - Milena Jankovic
- Neurology Clinic UCCS, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | | | - Maja Stojiljkovic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
| | - Marie-Pierre Buisine
- Molecular Oncogenetics, Department of Biochemistry and Molecular Biology, Lille University Hospital, Lille, France
- Univ. Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277, CANTHER, Lille, France
| | - Bjørn Ivar Haukanes
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Marie Lorans
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Hanno Roomere
- Department of laboratory genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, Tartu, Estonia
| | - François M Petit
- Department of Oncopharmacology, Centre Antoine Lacassagne, Nice, France
| | - Maria K Haanpää
- Department of Genomics, Turku University Hospital, Turku, Finland
| | - Claire Beneteau
- CHU Bordeaux, Service de Génétique Médicale, F-33000, Bordeaux, France
| | - Belén Pérez
- Genetics Department of CEDEM, Universidad Autónoma de Madrid, Madrid, Spain
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", Macedonian Academy of Sciences and Arts, Skopje, North Macedonia
| | - Matthias Rath
- Institute for Molecular Medicine, MSH Medical School Hamburg, Hamburg, Germany
- Department of Human Genetics, University Medicine Greifswald and Interfaculty Institute of Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Nico Fuhrmann
- Institute of Human Genetics, University of Cologne, Cologne, Germany
| | - Bibiana I Ferreira
- GENELAB by ABC, Faro, Portugal
- Faculty of Medicine and Biomedical Sciences, University of Algarve, Campus de Gambelas, Faro, Portugal
| | - Coralea Stephanou
- Molecular Genetics Thalassemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Wenche Sjursen
- Department of Medical Genetics, St Olavs Hospital, Trondheim, Norway
| | - Aleš Maver
- Clinical Institute of Genomic Medicine, Ljubljana, Slovenia
| | - Cécile Rouzier
- Department of Medical Genetics, National Centre for Mitocondrial Diseases, CHU de NICE, Université Côte d'Azur, Nice, France
- CNRS, INSERM, IRCAN, Université Côte d'Azur, Nice, France
| | - Adela Chirita-Emandi
- Department of Microscopic Morphology Genetics Discipline, Center of Genomic Medicine, "Victor Babes" University of Medicine and Pharmacy Timisoara, Timisoara, Romania
| | - João Gonçalves
- Human Genetics Department, National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Wei Cheng David Kuek
- Molecular Diagnosis Centre, Department of Laboratory Medicine, National University Hospital, Kent Ridge, Singapore
| | - Martin Broly
- Laboratory of Rare and Autoinflammatory Genetic Diseases, Department of Genetics-LBM, Montpellier University Hospital, Montpellier, France
| | - Lonneke Haer-Wigman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Meow-Keong Thong
- Genetics and Metabolism Unit, Department of Pediatrics, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Sok-Kun Tae
- Genetics and Metabolism Unit, Department of Pediatrics, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Johan T den Dunnen
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Andreas Laner
- Medizinisch Genetisches Zentrum (MGZ) München, Munich, Germany
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11
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D'Souza P, Farmer C, Johnston JM, Han ST, Adams D, Hartman AL, Zein W, Huryn LA, Solomon B, King K, Jordan CP, Myles J, Nicoli ER, Rothermel CE, Mojica Algarin Y, Huang R, Quimby R, Zainab M, Bowden S, Crowell A, Buckley A, Brewer C, Regier DS, Brooks BP, Acosta MT, Baker EH, Vézina G, Thurm A, Tifft CJ. GM1 gangliosidosis type II: Results of a 10-year prospective study. Genet Med 2024; 26:101144. [PMID: 38641994 DOI: 10.1016/j.gim.2024.101144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/21/2024] Open
Abstract
PURPOSE GM1 gangliosidosis (GM1) a lysosomal disorder caused by pathogenic variants in GLB1, is characterized by relentless neurodegeneration. There are no approved treatments. METHODS Forty-one individuals with type II (late-infantile and juvenile) GM1 participated in a single-site prospective observational study. RESULTS Classification of 37 distinct variants using American College of Medical Genetics and Genomics criteria resulted in the upgrade of 6 and the submission of 4 new variants. In contrast to type I infantile disease, children with type II had normal or near normal hearing and did not have cherry-red maculae or hepatosplenomegaly. Some older children with juvenile onset disease developed thickened aortic and/or mitral valves. Serial magnetic resonance images demonstrated progressive brain atrophy, more pronounced in late infantile patients. Magnetic resonance spectroscopy showed worsening elevation of myo-inositol and deficit of N-acetyl aspartate that were strongly correlated with scores on the Vineland Adaptive Behavior Scale, progressing more rapidly in late infantile compared with juvenile onset disease. CONCLUSION Serial phenotyping of type II GM1 patients expands the understanding of disease progression and clarifies common misconceptions about type II patients; these are pivotal steps toward more timely diagnosis and better supportive care. The data amassed through this 10-year effort will serve as a robust comparator for ongoing and future therapeutic trials.
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Affiliation(s)
- Precilla D'Souza
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Cristan Farmer
- Neurodevelopmental and Behavioral Phenotyping Service, National Institute of Mental Health, Bethesda, MD
| | - Jean M Johnston
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Sangwoo T Han
- Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - David Adams
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD
| | - Adam L Hartman
- Division of Clinical Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Wadih Zein
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, Bethesda, MD
| | - Laryssa A Huryn
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, Bethesda, MD
| | - Beth Solomon
- Rehabilitation Medicine Department, Warren C. Magnuson Clinical Research Center, Bethesda, MD
| | - Kelly King
- Neurology Branch, National Institute on Deafness and Other Communication Disorders, Bethesda, MD
| | | | - Jennifer Myles
- Nutrition Department, Warren C. Magnuson Clinical Research Center, Bethesda, MD
| | - Elena-Raluca Nicoli
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Caroline E Rothermel
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Yoliann Mojica Algarin
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Reyna Huang
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Rachel Quimby
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Mosufa Zainab
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Sarah Bowden
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Anna Crowell
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD
| | - Ashura Buckley
- Sleep and Neurodevelopment Service, National Institute of Mental Health, Bethesda, MD
| | - Carmen Brewer
- Neurology Branch, National Institute on Deafness and Other Communication Disorders, Bethesda, MD
| | - Debra S Regier
- Genetics and Metabolism, Children's National Hospital, Washington, DC
| | - Brian P Brooks
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, Bethesda, MD
| | - Maria T Acosta
- Undiagnosed Disease Program, National Human Genome Research Institute, Bethesda, MD
| | - Eva H Baker
- Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD
| | - Gilbert Vézina
- Program in Neuroradiology and Program in Radiology, Children's National Hospital, Washington, DC; Radiology and Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Audrey Thurm
- Neurodevelopmental and Behavioral Phenotyping Service, National Institute of Mental Health, Bethesda, MD
| | - Cynthia J Tifft
- Office of the Clinical Director, National Human Genome Research Institute, Bethesda, MD; Medical Genetics Branch, National Human Genome Research Institute, Bethesda, MD.
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12
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Chen Y, Fu Y, Koczkowska M, Callens T, Gomes A, Liu J, Bradley W, Brown B, Shaw B, D’Agostino D, Fu C, Wallis D. Genotype-Phenotype Correlation in Neurofibromatosis Type 1: Evidence for a Mild Phenotype Associated with Splicing Variants Leading to In-Frame Skipping of NF1 Exon 24 [19a]. Cancers (Basel) 2024; 16:2406. [PMID: 39001468 PMCID: PMC11240586 DOI: 10.3390/cancers16132406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/13/2024] [Accepted: 06/18/2024] [Indexed: 07/16/2024] Open
Abstract
Neurofibromatosis type 1 (NF1) is an autosomal dominant neurocutaneous disorder caused by loss-of-function variants in the NF1 gene. As of 20 November 2023, over 5000 distinct pathogenic or likely pathogenic variants have been reported in public databases. However, only a few NF1 genotype-phenotype correlations have been established so far. In this study, we present findings on 40 individuals with NF1, comprising 26 unrelated probands and 14 affected relatives, who carry one of nine NF1 heterozygous pathogenic splicing variants, all of which result in the in-frame skipping of exon 24 [19a] (NM_000267.3:r.3114_3197del, p.Asn1039_Arg1066del). These variants include c.3114-2A>G, c.3114-1G>A, c.3196A>G, c.3197G>A, c.3197G>T, c.3197+1G>A, c.3197+1G>T, c.3197+2T>C, and c.3197+3A>T. Among individuals with these variants, none exhibit externally visible plexiform neurofibromas, histopathologically confirmed cutaneous or subcutaneous neurofibromas, symptomatic spinal neurofibromas, or symptomatic optic pathway gliomas. The most prevalent, and sometimes sole, clinical feature observed in this cohort is multiple café-au-lait macules, with or without skinfold freckles: 85% and 60.5% of the individuals display six or more café-au-lait macules and freckles, respectively. In comparison to established NF1 genotype-phenotype correlations, these patients demonstrate highly similar clinical presentations to those associated with the NF1 pathogenic variant c.2970_2972del (p.Met992del), known for resulting in the mildest clinical features. Despite the generally mild phenotype, cognitive impairment, developmental delay, and/or learning difficulties are still observed in 33.3% of these patients, suggesting that learning challenges remain a prominent aspect of the phenotypic presentation in these individuals and necessitate specialized care. This newly established genotype-phenotype correlation will assist clinicians in improving the management of patients harboring NF1 exon 24 [19a] skipping variants and provide a new therapeutic target for NF1 treatment.
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Affiliation(s)
- Yunjia Chen
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
| | - Yulong Fu
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Magdalena Koczkowska
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
- 3P-Medicine Laboratory, Medical University of Gdansk, 80-211 Gdansk, Poland
| | - Tom Callens
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
| | - Alicia Gomes
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
| | - Jian Liu
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
| | - William Bradley
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
| | - Bryce Brown
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
| | - Brandon Shaw
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
| | - Daniela D’Agostino
- Division of Medical Genetics, Departments of Medicine and Human Genetics, McGill University, Montreal, QC H3A 0G4, Canada;
| | - Chuanhua Fu
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
| | - Deeann Wallis
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA; (M.K.); (T.C.); (A.G.); (J.L.); (W.B.); (B.B.); (B.S.); (C.F.); (D.W.)
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13
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McCarthy HJ, Mallett AJ, Sullivan P, Cowley MJ, Mallawaarachchi AC. Beyond DNA sequencing: genetic kidney disorders related to altered splicing. Nephrol Dial Transplant 2024; 39:1056-1059. [PMID: 38289833 DOI: 10.1093/ndt/gfae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Indexed: 02/01/2024] Open
Affiliation(s)
- Hugh J McCarthy
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Department of Nephrology, Sydney Children's Hospitals Network, Westmead, NSW, Australia
| | - Andrew J Mallett
- Department of Renal Medicine, Townsville University Hospital, Townsville, QLD, Australia
- College of Medicine & Dentistry, James Cook University, Townsville, QLD, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Patricia Sullivan
- Children's Cancer Institute, Lowy Cancer Centre, UNSW Sydney, Kensington, NSW, Australia
- School of Clinical Medicine, UNSW Medicine & Health, University of New South Wales Sydney, Kensington, NSW, Australia
| | - Mark J Cowley
- Children's Cancer Institute, Lowy Cancer Centre, UNSW Sydney, Kensington, NSW, Australia
- School of Clinical Medicine, UNSW Medicine & Health, University of New South Wales Sydney, Kensington, NSW, Australia
| | - Amali C Mallawaarachchi
- School of Clinical Medicine, UNSW Medicine & Health, University of New South Wales Sydney, Kensington, NSW, Australia
- Genomic and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
- Clinical Genetics Service, Institute of Precision Medicine and Bioinformatics, Royal Prince Alfred Hospital, Sydney, Australia
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14
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Chong JX, Berger SI, Baxter S, Smith E, Xiao C, Calame DG, Hawley MH, Rivera-Munoz EA, DiTroia S, Bamshad MJ, Rehm HL. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing. Genet Med 2024; 26:101199. [PMID: 38944749 DOI: 10.1016/j.gim.2024.101199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 06/18/2024] [Accepted: 06/21/2024] [Indexed: 07/01/2024] Open
Abstract
Since the first novel gene discovery for a Mendelian condition was made via exome sequencing, the rapid increase in the number of genes known to underlie Mendelian conditions coupled with the adoption of exome (and more recently, genome) sequencing by diagnostic testing labs has changed the landscape of genomic testing for rare diseases. Specifically, many individuals suspected to have a Mendelian condition are now routinely offered clinical ES. This commonly results in a precise genetic diagnosis but frequently overlooks the identification of novel candidate genes. Such candidates are also less likely to be identified in the absence of large-scale gene discovery research programs. Accordingly, clinical laboratories have both the opportunity, and some might argue a responsibility, to contribute to novel gene discovery, which should, in turn, increase the diagnostic yield for many conditions. However, clinical diagnostic laboratories must necessarily balance priorities for throughput, turnaround time, cost efficiency, clinician preferences, and regulatory constraints and often do not have the infrastructure or resources to effectively participate in either clinical translational or basic genome science research efforts. For these and other reasons, many laboratories have historically refrained from broadly sharing potentially pathogenic variants in novel genes via networks such as Matchmaker Exchange, much less reporting such results to ordering providers. Efforts to report such results are further complicated by a lack of guidelines for clinical reporting and interpretation of variants in novel candidate genes. Nevertheless, there are myriad benefits for many stakeholders, including patients/families, clinicians, and researchers, if clinical laboratories systematically and routinely identify, share, and report novel candidate genes. To facilitate this change in practice, we developed criteria for triaging, sharing, and reporting novel candidate genes that are most likely to be promptly validated as underlying a Mendelian condition and translated to use in clinical settings.
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Affiliation(s)
- Jessica X Chong
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA; Brotman-Baty Institute for Precision Medicine, Seattle, WA.
| | - Seth I Berger
- Center for Genetic Medicine Research, Children's National Research Institute, Washington, DC
| | - Samantha Baxter
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Erica Smith
- Department of Clinical Diagnostics, Ambry Genetics, Aliso Viejo, CA
| | - Changrui Xiao
- Department of Neurology, University of California Irvine, Orange, CA
| | - Daniel G Calame
- Department of Pediatrics, Division of Pediatric Neurology and Developmental Neurosciences, Baylor College of Medicine, Houston, TX
| | | | | | - Stephanie DiTroia
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Michael J Bamshad
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA; Brotman-Baty Institute for Precision Medicine, Seattle, WA; Department of Pediatrics, Division of Genetic Medicine, Seattle Children's Hospital, Seattle, WA
| | - Heidi L Rehm
- Program in 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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15
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Pitiot AS, Blay P, Díaz-Navarro A, Fernández-Arrojo S, Romero R, Álvarez-Eguiluz Á, Alvarado MG, Álvarez N, García-Teijido P, Fernández Y, Palacio I, Puente XS, Balbín M. Featuring BRCA1 and BRCA2 germline mutational landscape from Asturias (North Spain). Clin Genet 2024. [PMID: 38922859 DOI: 10.1111/cge.14580] [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: 03/08/2024] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 06/28/2024]
Abstract
The singular BRCA1/2 mutational landscape of Asturias is updated 10 years after the first study. We analyzed BRCA1 and BRCA2 pathogenic variants in 1653 index cases. In total, 238 families were identified to carry a pathogenic variant, 163 families in BRCA1 and 75 families in BRCA2. This yielded a prevalence rate of 14.4%. Seven recurrent variants were found accounting for 55% of the cases. Among them, three are widely distributed (BRCA1 c.211A>G, c.470_471del and c.3331_3334del) and four had been reported as novel in Asturias: two in BRCA1 (c.1674del and c.2901_2902dup) and two in BRCA2 (c.2095C>T and c.4040_4035delinsC). A common haplotype was established for all recurrent variants indicating a shared ancestral origin. Three splicing analyses are shown: BRCA1:c.5152+3A>C and BRCA1:c.5333-3T>G that lead to skipping of exon 18, and 22 respectively, and BRCA1:c.5278-1G>T giving rise to two transcripts, one lacking exon 21 (p.Ille1760Glyfs*60) and one lacking the first 8 nucleotides of exon 21 (p.Phe1761Asnfs*14), supporting pathogenicity for these variants.
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Affiliation(s)
- Ana S Pitiot
- Laboratorio de Oncología Molecular, Laboratorio de Medicina, Hospital Universitario Central de Asturias, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Pilar Blay
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Servicio de Oncología Médica, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Ander Díaz-Navarro
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Oviedo, Spain
- Departamento de Bioquímica y Biología Molecular, Universidad de Oviedo, Oviedo, Spain
| | - Sara Fernández-Arrojo
- Departamento de Bioquímica y Biología Molecular, Universidad de Oviedo, Oviedo, Spain
| | - Rosa Romero
- Laboratorio de Oncología Molecular, Laboratorio de Medicina, Hospital Universitario Central de Asturias, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Ángel Álvarez-Eguiluz
- Laboratorio de Oncología Molecular, Laboratorio de Medicina, Hospital Universitario Central de Asturias, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Marta G Alvarado
- Laboratorio de Oncología Molecular, Laboratorio de Medicina, Hospital Universitario Central de Asturias, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Nieves Álvarez
- Servicio de Oncología Médica, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Paula García-Teijido
- Servicio de Oncología Médica, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Yolanda Fernández
- Servicio de Oncología Médica, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Isabel Palacio
- Servicio de Oncología Médica, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Xose S Puente
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Oviedo, Spain
- Departamento de Bioquímica y Biología Molecular, Universidad de Oviedo, Oviedo, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Milagros Balbín
- Laboratorio de Oncología Molecular, Laboratorio de Medicina, Hospital Universitario Central de Asturias, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
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16
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Chong JX, Berger SI, Baxter S, Smith E, Xiao C, Calame DG, Hawley MH, Rivera-Munoz EA, DiTroia S, Bamshad MJ, Rehm HL. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.05.579012. [PMID: 38370830 PMCID: PMC10871197 DOI: 10.1101/2024.02.05.579012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Since the first novel gene discovery for a Mendelian condition was made via exome sequencing (ES), the rapid increase in the number of genes known to underlie Mendelian conditions coupled with the adoption of exome (and more recently, genome) sequencing by diagnostic testing labs has changed the landscape of genomic testing for rare disease. Specifically, many individuals suspected to have a Mendelian condition are now routinely offered clinical ES. This commonly results in a precise genetic diagnosis but frequently overlooks the identification of novel candidate genes. Such candidates are also less likely to be identified in the absence of large-scale gene discovery research programs. Accordingly, clinical laboratories have both the opportunity, and some might argue a responsibility, to contribute to novel gene discovery which should in turn increase the diagnostic yield for many conditions. However, clinical diagnostic laboratories must necessarily balance priorities for throughput, turnaround time, cost efficiency, clinician preferences, and regulatory constraints, and often do not have the infrastructure or resources to effectively participate in either clinical translational or basic genome science research efforts. For these and other reasons, many laboratories have historically refrained from broadly sharing potentially pathogenic variants in novel genes via networks like Matchmaker Exchange, much less reporting such results to ordering providers. Efforts to report such results are further complicated by a lack of guidelines for clinical reporting and interpretation of variants in novel candidate genes. Nevertheless, there are myriad benefits for many stakeholders, including patients/families, clinicians, researchers, if clinical laboratories systematically and routinely identify, share, and report novel candidate genes. To facilitate this change in practice, we developed criteria for triaging, sharing, and reporting novel candidate genes that are most likely to be promptly validated as underlying a Mendelian condition and translated to use in clinical settings.
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Affiliation(s)
- Jessica X. Chong
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, 1959 NE Pacific Street, Box 357371, Seattle, WA, 98195, USA
- Brotman-Baty Institute for Precision Medicine, 1959 NE Pacific Street, Box 357657, Seattle, WA, 98195, USA
| | - Seth I. Berger
- Center for Genetic Medicine Research, Children’s National Research Institute, 111 Michigan Ave, NW, Washington, DC, 20010, USA
| | - Samantha Baxter
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA, 02141, USA
| | - Erica Smith
- Department of Clinical Diagnostics, Ambry Genetics, 15 Argonaut, Aliso Viejo, CA, 92656, USA
| | - Changrui Xiao
- Department of Neurology, University of California Irvine, 200 South Manchester Ave. St 206E, Orange, CA, 92868, USA
| | - Daniel G. Calame
- Department of Pediatrics, Division of Pediatric Neurology and Developmental Neurosciences, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
| | - Megan H. Hawley
- Clinical Operations, Invitae, 485F US-1 Suite 110, Iselin, NJ, 08830, USA
| | - E. Andres Rivera-Munoz
- Department of Molecular and Human Genetics, Baylor College of Medicine, 1 Baylor Plaza T605, Houston, TX, 77030, USA
| | - Stephanie DiTroia
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA, 02141, USA
| | | | - Michael J. Bamshad
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, 1959 NE Pacific Street, Box 357371, Seattle, WA, 98195, USA
- Brotman-Baty Institute for Precision Medicine, 1959 NE Pacific Street, Box 357657, Seattle, WA, 98195, USA
- Department of Pediatrics, Division of Genetic Medicine, Seattle Children’s Hospital, Seattle, WA, 98195, USA
| | - Heidi L. Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA, 02141, USA
- Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St, Boston, MA, 02114, USA
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17
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Richter F, Rutherford KD, Cooke AJ, Meshkati M, Eddy-Abrams V, Greene D, Kosowsky J, Park Y, Aggarwal S, Burke RJ, Chang W, Connors J, Giannone PJ, Hays T, Khattar D, Polak M, Senaldi L, Smith-Raska M, Sridhar S, Steiner L, Swanson JR, Tauber KA, Barbosa M, Guttmann KF, Turro E. A Deep Intronic PKHD1 Variant Identified by SpliceAI in a Deceased Neonate With Autosomal Recessive Polycystic Kidney Disease. Am J Kidney Dis 2024; 83:829-833. [PMID: 38211685 PMCID: PMC11116050 DOI: 10.1053/j.ajkd.2023.12.011] [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] [Received: 07/31/2023] [Revised: 10/09/2023] [Accepted: 11/10/2023] [Indexed: 01/13/2024]
Abstract
The etiologies of newborn deaths in neonatal intensive care units usually remain unknown, even after genetic testing. Whole-genome sequencing, combined with artificial intelligence-based methods for predicting the effects of non-coding variants, provide an avenue for resolving these deaths. Using one such method, SpliceAI, we identified a maternally inherited deep intronic PKHD1 splice variant (chr6:52030169T>C), in trans with a pathogenic missense variant (p.Thr36Met), in a newborn who died of autosomal recessive polycystic kidney disease at age 2 days. We validated the deep intronic variant's impact in maternal urine-derived cells expressing PKHD1. Reverse transcription polymerase chain reaction followed by Sanger sequencing showed that the variant causes inclusion of 147bp of the canonical intron between exons 29 and 30 of PKHD1 into the mRNA, including a premature stop codon. Allele-specific expression analysis at a heterozygous site in the mother showed that the mutant allele completely suppresses canonical splicing. In an unrelated healthy control, there was no evidence of transcripts including the novel splice junction. We returned a diagnostic report to the parents, who underwent in vitro embryo selection.
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Affiliation(s)
- Felix Richter
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kayleigh D Rutherford
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Anisha J Cooke
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Malorie Meshkati
- Division of Newborn Medicine, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Vanessa Eddy-Abrams
- Division of Newborn Medicine, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Daniel Greene
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jordana Kosowsky
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Yeaji Park
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Surabhi Aggarwal
- Division of Neonatology, Department of Pediatrics, Stony Brook Children's Hospital, New York, New York
| | - Rebecca J Burke
- Department of Pediatrics, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania
| | - Weili Chang
- Department of Neonatology, Pediatrics, East Carolina University, Greenville, North Carolina
| | - Jillian Connors
- Division of Neonatology, The Children's Hospital at Montefiore, Bronx, New York
| | - Peter J Giannone
- Division of Neonatology, Department of Pediatrics, University of Kentucky, Lexington, Kentucky
| | - Thomas Hays
- Division of Neonatology, Department of Pediatrics, Columbia University Irving Medical Center, New York, New York
| | - Divya Khattar
- Division of Neonatology, Department of Pediatrics, University of Kentucky, Lexington, Kentucky
| | - Mark Polak
- Department of Pediatrics, Division of Neonatology, West Virginia University School of Medicine, Morgantown, West Virginia
| | - Liana Senaldi
- Division of Newborn Medicine, Department of Pediatrics, Weill Cornell Medicine, New York-Presbyterian Hospital, New York, New York
| | - Matthew Smith-Raska
- Division of Newborn Medicine, Department of Pediatrics, Weill Cornell Medicine, New York-Presbyterian Hospital, New York, New York
| | - Shanthy Sridhar
- Division of Neonatology, Department of Pediatrics, Stony Brook Children's Hospital, New York, New York
| | - Laurie Steiner
- Department of Pediatrics, University of Rochester, Rochester, New York
| | - Jonathan R Swanson
- Division of Neonatology, Department of Pediatrics, University of Virginia Children's Hospital, Charlottesville, Virginia
| | - Kate A Tauber
- Department of Pediatrics, Albany Medical Center, Albany, New York
| | - Mafalda Barbosa
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Katherine F Guttmann
- Division of Newborn Medicine, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ernest Turro
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
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18
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Zemankova P, Cerna M, Horackova K, Ernst C, Soukupova J, Borecka M, Blümcke B, Cerna L, Cerna M, Curtisova V, Dolezalova T, Duskova P, Dvorakova L, Foretova L, Havranek O, Hauke J, Hahnen E, Hodulova M, Hovhannisyan M, Hruskova L, Janatova M, Janikova M, Jelinkova S, Just P, Kosarova M, Koudova M, Krutilkova V, Machackova E, Matejkova K, Michalovska R, Misove A, Nehasil P, Nemcova B, Novotny J, Panczak A, Pesek P, Scheinost O, Springer D, Stastna B, Stranecky V, Subrt I, Tavandzis S, Tureckova E, Vesela K, Vlckova Z, Vocka M, Wappenschmidt B, Zima T, Kleibl Z, Kleiblova P. A deep intronic recurrent CHEK2 variant c.1009-118_1009-87delinsC affects pre-mRNA splicing and contributes to hereditary breast cancer predisposition. Breast 2024; 75:103721. [PMID: 38554551 PMCID: PMC10998186 DOI: 10.1016/j.breast.2024.103721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 03/20/2024] [Accepted: 03/23/2024] [Indexed: 04/01/2024] Open
Abstract
Germline CHEK2 pathogenic variants confer an increased risk of female breast cancer (FBC). Here we describe a recurrent germline intronic variant c.1009-118_1009-87delinsC, which showed a splice acceptor shift in RNA analysis, introducing a premature stop codon (p.Tyr337PhefsTer37). The variant was found in 21/10,204 (0.21%) Czech FBC patients compared to 1/3250 (0.03%) controls (p = 0.04) and in 4/3639 (0.11%) FBC patients from an independent German dataset. In addition, we found this variant in 5/2966 (0.17%) Czech (but none of the 443 German) ovarian cancer patients, three of whom developed early-onset tumors. Based on these observations, we classified this variant as likely pathogenic.
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Affiliation(s)
- Petra Zemankova
- 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
| | - Marta Cerna
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Klara Horackova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Corinna Ernst
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany
| | - Jana Soukupova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Marianna Borecka
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Britta Blümcke
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany
| | | | - Monika Cerna
- Institute of Medical Genetics, University Hospital Pilsen, Pilsen, Czech Republic
| | - Vaclava Curtisova
- Department of Medical Genetics, University Hospital Olomouc, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Tatana Dolezalova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Petra Duskova
- Hospital Ceske Budejovice, Ceske Budejovice, Czech Republic
| | - Lenka Dvorakova
- Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Ondrej Havranek
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic; BIOCEV, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jan Hauke
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany
| | | | - Milena Hovhannisyan
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | | | - Marketa Janatova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Maria Janikova
- Department of Medical Genetics, University Hospital Olomouc, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Sandra Jelinkova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Pavel Just
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | | | | | - Vera Krutilkova
- Department of Medical Genetics, AGEL Laboratories, AGEL Research and Training Institute, Novy Jicin, Czech Republic
| | - Eva Machackova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Katerina Matejkova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic; Department of Genetics and Microbiology, Faculty of Science, Charles University, Prague, Czech Republic
| | | | - Adela Misove
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Petr Nehasil
- 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; Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Barbora Nemcova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jan Novotny
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Ales Panczak
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Pavel Pesek
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | | | - Drahomira Springer
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Barbora Stastna
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic; Department of Biochemistry, Faculty of Science, Charles University, Prague, Czech Republic
| | - Viktor Stranecky
- Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Ivan Subrt
- Institute of Medical Genetics, University Hospital Pilsen, Pilsen, Czech Republic
| | - Spiros Tavandzis
- Department of Medical Genetics, AGEL Laboratories, AGEL Research and Training Institute, Novy Jicin, Czech Republic
| | - Eva Tureckova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Kamila Vesela
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | | | - Michal Vocka
- Department of Oncology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Barbara Wappenschmidt
- Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany
| | - Tomas Zima
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Zdenek Kleibl
- 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
| | - Petra Kleiblova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic; Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
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19
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Richardson ME, Holdren M, Brannan T, de la Hoya M, Spurdle AB, Tavtigian SV, Young CC, Zec L, Hiraki S, Anderson MJ, Walker LC, McNulty S, Turnbull C, Tischkowitz M, Schon K, Slavin T, Foulkes WD, Cline M, Monteiro AN, Pesaran T, Couch FJ. Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline ATM sequence variants. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.28.24307502. [PMID: 38854136 PMCID: PMC11160822 DOI: 10.1101/2024.05.28.24307502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
The ClinGen Hereditary Breast, Ovarian and Pancreatic Cancer (HBOP) Variant Curation Expert Panel (VCEP) is composed of internationally recognized experts in clinical genetics, molecular biology and variant interpretation. This VCEP made specifications for ACMG/AMP guidelines for the ataxia telangiectasia mutated (ATM) gene according to the Food and Drug Administration (FDA)-approved ClinGen protocol. These gene-specific rules for ATM were modified from the American College of Medical Genetics and Association for Molecular Pathology (ACMG/AMP) guidelines and were tested against 33 ATM variants of various types and classifications in a pilot curation phase. The pilot revealed a majority agreement between the HBOP VCEP classifications and the ClinVar-deposited classifications. Six pilot variants had conflicting interpretations in ClinVar and reevaluation with the VCEP's ATM-specific rules resulted in four that were classified as benign, one as likely pathogenic and one as a variant of uncertain significance (VUS) by the VCEP, improving the certainty of interpretations in the public domain. Overall, 28 the 33 pilot variants were not VUS leading to an 85% classification rate. The ClinGen-approved, modified rules demonstrated value for improved interpretation of variants in ATM.
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Affiliation(s)
| | - Megan Holdren
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Miguel de la Hoya
- Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain
| | - Amanda B Spurdle
- Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Sean V Tavtigian
- Department of Oncological Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | | | | | | | | | - Logan C Walker
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Shannon McNulty
- Department of Pathology and Laboratory Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Clare Turnbull
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Marc Tischkowitz
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Katherine Schon
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Thomas Slavin
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - William D Foulkes
- Departments of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Melissa Cline
- UC Santa Cruz Genomics Institute, Mail Stop: Genomics, University of California, Santa Cruz, CA, USA
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | | | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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20
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Bouras A, Lefol C, Ruano E, Grand-Masson C, Auclair-Perrossier J, Wang Q. Splicing analysis of 24 potential spliceogenic variants in MMR genes and clinical interpretation based on refined ACMG/AMP criteria. Hum Mol Genet 2024; 33:850-859. [PMID: 38311346 DOI: 10.1093/hmg/ddae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/18/2023] [Accepted: 01/19/2024] [Indexed: 02/10/2024] Open
Abstract
Lynch syndrome (LS) is a common hereditary cancer syndrome caused by heterozygous germline pathogenic variants in DNA mismatch repair (MMR) genes. Splicing defect constitutes one of the major mechanisms for MMR gene inactivation. Using RT-PCR based RNA analysis, we investigated 24 potential spliceogenic variants in MMR genes and determined their pathogenicity based on refined splicing-related American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) criteria. Aberrant transcripts were confirmed in 19 variants and 17 of which were classified as pathogenic including 11 located outside of canonical splice sites. Most of these variants were previously reported in LS patients without mRNA splicing assessment. Thus, our study provides crucial evidence for pathogenicity determination, allowing for appropriate clinical follow-up. We also found that computational predictions were globally well correlated with RNA analysis results and the use of both SPiP and SpliceAI software appeared more efficient for splicing defect prediction.
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Affiliation(s)
- Ahmed Bouras
- Centre Léon Bérard, Laboratory of Constitutional Genetics for Frequent Cancer HCL-CLB, 28 Laennec street, 69008 Lyon, France
- Inserm U1052, Lyon Cancer Research Center, 28 Laennec street, 69008 Lyon, France
| | - Cedrick Lefol
- Centre Léon Bérard, Laboratory of Constitutional Genetics for Frequent Cancer HCL-CLB, 28 Laennec street, 69008 Lyon, France
| | - Eric Ruano
- Centre Léon Bérard, Laboratory of Constitutional Genetics for Frequent Cancer HCL-CLB, 28 Laennec street, 69008 Lyon, France
| | - Chloé Grand-Masson
- Centre Léon Bérard, Laboratory of Constitutional Genetics for Frequent Cancer HCL-CLB, 28 Laennec street, 69008 Lyon, France
| | - Jessie Auclair-Perrossier
- Centre Léon Bérard, Lyon Cancer Research Center, Cancer Genomic Platform, 28 Laennec street, 69008 Lyon, France
| | - Qing Wang
- Centre Léon Bérard, Laboratory of Constitutional Genetics for Frequent Cancer HCL-CLB, 28 Laennec street, 69008 Lyon, France
- Centre Léon Bérard, Lyon Cancer Research Center, Cancer Genomic Platform, 28 Laennec street, 69008 Lyon, France
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21
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Goldstein J, Thomas-Wilson A, Groopman E, Aggarwal V, Bianconi S, Fernandez R, Hart K, Longo N, Liang N, Reich D, Wallis H, Weaver M, Young S, Mercimek-Andrews S. ClinGen variant curation expert panel recommendations for classification of variants in GAMT, GATM and SLC6A8 for cerebral creatine deficiency syndromes. Mol Genet Metab 2024; 142:108362. [PMID: 38452609 DOI: 10.1016/j.ymgme.2024.108362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/09/2024]
Abstract
Cerebral creatine deficiency syndromes (CCDS) are inherited metabolic phenotypes of creatine synthesis and transport. There are two enzyme deficiencies, guanidinoacetate methyltransferase (GAMT), encoded by GAMT and arginine-glycine amidinotransferase (AGAT), encoded by GATM, which are involved in the synthesis of creatine. After synthesis, creatine is taken up by a sodium-dependent membrane bound creatine transporter (CRTR), encoded by SLC6A8, into all organs. Creatine uptake is very important especially in high energy demanding organs such as the brain, and muscle. To classify the pathogenicity of variants in GAMT, GATM, and SLC6A8, we developed the CCDS Variant Curation Expert Panel (VCEP) in 2018, supported by The Clinical Genome Resource (ClinGen), a National Institutes of Health (NIH)-funded resource. We developed disease-specific variant classification guidelines for GAMT-, GATM-, and SLC6A8-related CCDS, adapted from the American College of Medical Genetics/Association of Molecular Pathology (ACMG/AMP) variant interpretation guidelines. We applied specific variant classification guidelines to 30 pilot variants in each of the three genes that have variants associated with CCDS. Our CCDS VCEP was approved by the ClinGen Sequence Variant Interpretation Working Group (SVI WG) and Clinical Domain Oversight Committee in July 2022. We curated 181 variants including 72 variants in GAMT, 45 variants in GATM, and 64 variants in SLC6A8 and submitted these classifications to ClinVar, a public variant database supported by the National Center for Biotechnology Information. Missense variants were the most common variant type in all three genes. We submitted 32 new variants and reclassified 34 variants with conflicting interpretations. We report specific phenotype (PP4) using a points system based on the urine and plasma guanidinoacetate and creatine levels, brain magnetic resonance spectroscopy (MRS) creatine level, and enzyme activity or creatine uptake in fibroblasts ranging from PP4, PP4_Moderate and PP4_Strong. Our CCDS VCEP is one of the first panels applying disease specific variant classification algorithms for an X-linked disease. The availability of these guidelines and classifications can guide molecular genetics and genomic laboratories and health care providers to assess the molecular diagnosis of individuals with a CCDS phenotype.
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Affiliation(s)
- Jennifer Goldstein
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Emily Groopman
- Children's National Hospital, 111 Michigan Ave NW, Washington, DC, USA
| | - Vimla Aggarwal
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Simona Bianconi
- Kaiser Permanente, Southern California Permanente Group, CA, USA
| | - Raquel Fernandez
- American College of Medical Genetics and Genomics, Bethesda, MD, USA
| | - Kim Hart
- Newborn Screening Program, Utah Public Health Laboratory, Department of Health and Human Services, Salt Lake City, UT, USA
| | - Nicola Longo
- Division of Medical Genetics, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | | | - Daniel Reich
- Newborn Screening Program, Utah Public Health Laboratory, Department of Health and Human Services, Salt Lake City, UT, USA
| | - Heidi Wallis
- Association for Creatine Deficiencies, Carlsbad, CA, USA
| | - Meredith Weaver
- American College of Medical Genetics and Genomics, Bethesda, MD, USA
| | - Sarah Young
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
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22
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León‐Madero LF, Fregoso‐Ron CH, De León‐Carbajal JC, Valdés‐Miranda JM. Mexican patient with Ellis-van Creveld syndrome and cleft palate: Importance of functional hemizygosity and phenotype expansion. Mol Genet Genomic Med 2024; 12:e2451. [PMID: 38760995 PMCID: PMC11101913 DOI: 10.1002/mgg3.2451] [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] [Received: 02/14/2024] [Revised: 04/21/2024] [Accepted: 04/30/2024] [Indexed: 05/20/2024] Open
Abstract
BACKGROUND Ellis-van Creveld syndrome (EvCS) is a chondroectodermal dysplasia caused by germline pathogenic variants in ciliary complex subunit 1 and 2 genes (EVC, EVC2) on chromosome 4p16.2. This disease has a broad phenotype, and there are few described phenotype-genotype correlations. METHODS Ethical Compliance: Written informed consent was obtained from the parents. Here, we report a genetically confirmed Mexican patient with EvCS having two inherited pathogenic variants in trans in EVC2: c.[1195C>T];[2161delC]. RESULTS This patient allowed a genotypic-phenotypic comparison with another Mexican subject who presented a more attenuated phenotype; furthermore, our patient also presented cleft palate, a rarely reported feature. CONCLUSION Our case shows the importance of comparing functional hemizygosity between patient's phenotypes when they share a variant, and our case also supports the association of alterations in the palate as part of the EvCS phenotype.
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Affiliation(s)
- Luis Felipe León‐Madero
- Medical Genetics DepartmentHospital General de México Dr. Eduardo LiceagaMexico CityMexico
- Facultad de MedicinaUniversidad Nacional Autónoma de MéxicoMexico CityMexico
| | - Cesar Humberto Fregoso‐Ron
- Facultad de MedicinaUniversidad Nacional Autónoma de MéxicoMexico CityMexico
- Maternal Fetal Medicine DepartmentHospital General de México Dr. Eduardo LiceagaMexico CityMexico
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23
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Papingi D, Bierhals T, Volk AE, Kutsche M, Paul K, Herget T. A novel TTC26 variant in a patient with hexadactyly, pituitary stalk interruption, hepatopathy, nephropathy, and bilateral lip-palate cleft: A case report and expansion of the phenotype. Am J Med Genet A 2024; 194:e63515. [PMID: 38135897 DOI: 10.1002/ajmg.a.63515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/29/2023] [Accepted: 12/09/2023] [Indexed: 12/24/2023]
Abstract
Biallelic pathogenic variants in the TTC26 gene are known to cause BRENS (biliary, renal, neurological, skeletal) syndrome, an ultra-rare autosomal recessive condition with only few patients published to date. BRENS syndrome is characterized by hexadactyly, severe neonatal cholestasis, and involvement of the brain, heart, and kidney, however the full phenotypic and genotypic spectrum is unknown. Here, we report on a previously undescribed homozygous intronic TTC26 variant (c.1006-5 T > C) in a patient showing some of the known TTC26-associated features like hexadactyly, hypopituitarism, hepatopathy, nephropathy, and congenital heart defect. Moreover, he presented with a suspected unilateral hearing loss and bilateral cleft lip-palate. The variant is considered to affect correct splicing by the loss of the canonical acceptor splice site and activation of a cryptic acceptor splice site. Hereby, our patient represents one additional patient with BRENS syndrome carrying a previously unreported TTC26 variant. Furthermore, we confirm the involvement of the pituitary gland to be a common clinical feature of the syndrome and broaden the clinical spectrum of TTC26 ciliopathy to include facial clefts and a probable hearing involvement.
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Affiliation(s)
- Dzhoy Papingi
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tatjana Bierhals
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexander E Volk
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Kutsche
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kevin Paul
- University Children's Hospital, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Theresia Herget
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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24
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Sanoguera-Miralles L, Llinares-Burguet I, Bueno-Martínez E, Ramadane-Morchadi L, Stuani C, Valenzuela-Palomo A, García-Álvarez A, Pérez-Segura P, Buratti E, de la Hoya M, Velasco-Sampedro EA. Comprehensive splicing analysis of the alternatively spliced CHEK2 exons 8 and 10 reveals three enhancer/silencer-rich regions and 38 spliceogenic variants. J Pathol 2024; 262:395-409. [PMID: 38332730 DOI: 10.1002/path.6243] [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] [Received: 08/30/2023] [Revised: 10/26/2023] [Accepted: 11/28/2023] [Indexed: 02/10/2024]
Abstract
Splicing is controlled by a large set of regulatory elements (SREs) including splicing enhancers and silencers, which are involved in exon recognition. Variants at these motifs may dysregulate splicing and trigger loss-of-function transcripts associated with disease. Our goal here was to study the alternatively spliced exons 8 and 10 of the breast cancer susceptibility gene CHEK2. For this purpose, we used a previously published minigene with exons 6-10 that produced the expected minigene full-length transcript and replicated the naturally occurring events of exon 8 [Δ(E8)] and exon 10 [Δ(E10)] skipping. We then introduced 12 internal microdeletions of exons 8 and 10 by mutagenesis in order to map SRE-rich intervals by splicing assays in MCF-7 cells. We identified three minimal (10-, 11-, 15-nt) regions essential for exon recognition: c.863_877del [ex8, Δ(E8): 75%] and c.1073_1083del and c.1083_1092del [ex10, Δ(E10): 97% and 62%, respectively]. Then 87 variants found within these intervals were introduced into the wild-type minigene and tested functionally. Thirty-eight of them (44%) impaired splicing, four of which (c.883G>A, c.883G>T, c.884A>T, and c.1080G>T) induced negligible amounts (<5%) of the minigene full-length transcript. Another six variants (c.886G>A, c.886G>T, c.1075G>A, c.1075G>T, c.1076A>T, and c.1078G>T) showed significantly strong impacts (20-50% of the minigene full-length transcript). Thirty-three of the 38 spliceogenic variants were annotated as missense, three as nonsense, and two as synonymous, underlying the fact that any exonic change is capable of disrupting splicing. Moreover, c.883G>A, c.883G>T, and c.884A>T were classified as pathogenic/likely pathogenic variants according to ACMG/AMP (American College of Medical Genetics and Genomics/Association for Molecular Pathology)-based criteria. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Lara Sanoguera-Miralles
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Inés Llinares-Burguet
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Elena Bueno-Martínez
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Lobna Ramadane-Morchadi
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Cristiana Stuani
- Molecular Pathology Lab. International Centre of Genetic Engineering and Biotechnology, Trieste, Italy
| | - Alberto Valenzuela-Palomo
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Alicia García-Álvarez
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
| | - Pedro Pérez-Segura
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Emanuele Buratti
- Molecular Pathology Lab. International Centre of Genetic Engineering and Biotechnology, Trieste, Italy
| | - Miguel de la Hoya
- Molecular Oncology Laboratory CIBERONC, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Eladio A Velasco-Sampedro
- Splicing and Genetic Susceptibility to Cancer, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM), Consejo Superior de Investigaciones Científicas - Universidad de Valladolid (CSIC-UVa), Valladolid, Spain
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25
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Wermers Z, Yoo S, Radenbaugh B, Douglass A, Biesecker LG, Johnston JJ. Comparison of literature mining tools for variant classification: Through the lens of 50 RYR1 variants. Genet Med 2024; 26:101083. [PMID: 38281099 DOI: 10.1016/j.gim.2024.101083] [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] [Received: 10/05/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 01/29/2024] Open
Abstract
PURPOSE The American College of Medical Genetics and Genomics and the Association for Molecular Pathology have outlined a schema that allows for systematic classification of variant pathogenicity. Although gnomAD is generally accepted as a reliable source of population frequency data and ClinGen has provided guidance on the utility of specific bioinformatic predictors, there is no consensus source for identifying publications relevant to a variant. Multiple tools are available to aid in the identification of relevant variant literature, including manually curated databases and literature search engines. We set out to determine the utility of 4 literature mining tools used for ascertainment to inform the discussion of the use of these tools. METHODS Four literature mining tools including the Human Gene Mutation Database, Mastermind, ClinVar, and LitVar 2.0 were used to identify relevant variant literature for 50 RYR1 variants. Sensitivity and precision were determined for each tool. RESULTS Sensitivity among the 4 tools ranged from 0.332 to 0.687. Precision ranged from 0.389 to 0.906. No single tool retrieved all relevant publications. CONCLUSION At the current time, the use of multiple tools is necessary to completely identify the literature relevant to curate a variant.
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Affiliation(s)
- Zara Wermers
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Seeley Yoo
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Bailey Radenbaugh
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Amber Douglass
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Leslie G Biesecker
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Jennifer J Johnston
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
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Schwartzmann S, Zhao M, Sczakiel HL, Hildebrand G, Ehmke N, Horn D, Mensah MA, Boschann F. RNA analysis and computer-aided facial phenotyping help to classify a novel TRIO splice site variant. Am J Med Genet A 2024:e63599. [PMID: 38517182 DOI: 10.1002/ajmg.a.63599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/26/2024] [Accepted: 03/08/2024] [Indexed: 03/23/2024]
Abstract
Pathogenic variants in TRIO, encoding the guanine nucleotide exchange factor, are associated with two distinct neurodevelopmental delay phenotypes: gain-of-function missense mutations within the spectrin repeats are causative for a severe developmental delay with macrocephaly (MIM: 618825), whereas loss-of-function missense variants in the GEF1 domain and truncating variants throughout the gene lead to a milder developmental delay and microcephaly (MIM: 617061). In three affected family members with mild intellectual disability/NDD and microcephaly, we detected a novel heterozygous TRIO variant at the last coding base of exon 31 (NM_007118.4:c.4716G>A). RNA analysis from patient-derived lymphoblastoid cells confirmed aberrant splicing resulting in the skipping of exon 31 (r.4615_4716del), leading to an in-frame deletion in the first Pleckstrin homology subdomain of the GEF1 domain: p.(Thr1539_Lys1572del). To test for a distinct gestalt, facial characteristics of the family members and 41 previously published TRIO cases were systematically evaluated via GestaltMatcher. Computational analysis of the facial gestalt suggests a distinguishable facial TRIO-phenotype not outlined in the existing literature.
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Affiliation(s)
- Sarina Schwartzmann
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Genetik und Humangenetik, Berlin, Germany
| | - Max Zhao
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Genetik und Humangenetik, Berlin, Germany
| | - Henrike Lisa Sczakiel
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Genetik und Humangenetik, Berlin, Germany
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Junior Clinician Scientist Program, Berlin, Germany
| | - Gabriele Hildebrand
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Genetik und Humangenetik, Berlin, Germany
| | - Nadja Ehmke
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Genetik und Humangenetik, Berlin, Germany
| | - Denise Horn
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Genetik und Humangenetik, Berlin, Germany
| | - Martin A Mensah
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Genetik und Humangenetik, Berlin, Germany
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Digital Clinician Scientist Program, Berlin, Germany
| | - Felix Boschann
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Genetik und Humangenetik, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité, Clinician Scientist Program, Berlin, Germany
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Kwok SY, Kwong AKY, Shi JZ, Shih CFY, Lee M, Mak CCY, Chui M, Tsao S, Chung BHY. Whole genome sequencing in paediatric channelopathy and cardiomyopathy. Front Cardiovasc Med 2024; 11:1335527. [PMID: 38586174 PMCID: PMC10997036 DOI: 10.3389/fcvm.2024.1335527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/28/2024] [Indexed: 04/09/2024] Open
Abstract
Background Precision medicine in paediatric cardiac channelopathy and cardiomyopathy has a rapid advancement over the past years. Compared to conventional gene panel and exome-based testing, whole genome sequencing (WGS) offers additional coverage at the promoter, intronic regions and the mitochondrial genome. However, the data on use of WGS to evaluate the genetic cause of these cardiovascular conditions in children and adolescents are limited. Methods In a tertiary paediatric cardiology center, we recruited all patients diagnosed with cardiac channelopathy and cardiomyopathy between the ages of 0 and 18 years old, who had negative genetic findings with prior gene panel or exome-based testing. After genetic counselling, blood samples were collected from the subjects and both their parents for WGS analysis. Results A total of 31 patients (11 cardiac channelopathy and 20 cardiomyopathy) were recruited. Four intronic splice-site variants were identified in three cardiomyopathy patients, which were not identified in previous whole exome sequencing. These included a pathogenic variant in TAFAZZIN:c.284+5G>A (Barth syndrome), a variant of unknown significance (VUS) in MYBPC3:c.1224-80G>A and 2 compound heterozygous LP variants in LZTR1 (LZTR1:c.1943-256C>T and LZTR1:c1261-3C>G) in a patient with clinical features of RASopathy. There was an additional diagnostic yield of 1.94% using WGS for identification of intronic variants, on top of conventional gene testing. Conclusion WGS plays a role in identifying additional intronic splice-site variants in paediatric patients with isolated cardiomyopathy. With the demonstrated low extra yield of WGS albeit its ability to provide potential clinically important information, WGS should be considered in selected paediatric cases of cardiac channelopathy and cardiomyopathy in a cost-effective manner.
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Affiliation(s)
- Sit Yee Kwok
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children’s Hospital, Hong Kong, Hong Kong SAR, China
| | - Anna Ka Yee Kwong
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Julia Zhuo Shi
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children’s Hospital, Hong Kong, Hong Kong SAR, China
| | - Connie Fong Ying Shih
- Clinical Genetics Service Unit, Hong Kong Children’s Hospital, Hong Kong, Hong Kong SAR, China
| | - Mianne Lee
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Christopher C. Y. Mak
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Martin Chui
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Sabrina Tsao
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Brian Hon Yin Chung
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
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Niu J, Teng X, Zhang J. Aberrant splicing caused by a novel KMT2A variant in Wiedemann-Steiner syndrome. Mol Genet Genomic Med 2024; 12:e2415. [PMID: 38488438 PMCID: PMC10941593 DOI: 10.1002/mgg3.2415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/14/2024] [Accepted: 02/20/2024] [Indexed: 03/18/2024] Open
Abstract
INTRODUCTION Wiedemann-Steiner syndrome (WSS) is a rare autosomal-dominant disorder caused by KMT2A variants. The aim of this study was to characterize a novel KMT2A variant in a child with WSS and demonstrate integrated diagnostic approaches. METHODS A 3-year-old female with developmental delay, distinctive facial features, and anal fistula underwent whole exome sequencing (WES). RNA analysis was performed to assess splicing effects caused by a novel variant. RESULTS WES identified novel heterozygous KMT2A c.5664+6T>C variant initially classified as a variant of uncertain significance. RNA analysis provided evidence of aberrant splicing (exon 20 skipping), allowing reclassification to likely pathogenic. The patient exhibited typical WSS features along with a potential novel finding of anal fistula. CONCLUSION This report describes a novel non-canonical splice site variant in KMT2A associated with WSS. RNA analysis was critical for variant reclassification. Detailed phenotypic evaluation revealed common and expanded WSS manifestations. This case highlights the importance of combining clinical assessment, DNA testing, and RNA functional assays for the diagnosis of rare genetic disorders.
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Affiliation(s)
- Jianing Niu
- Reproductive Medicine Center, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
- Department of Obstetrics and Gynecology, Jiaxing Maternity and Child Health Care Hospital, College of MedicineJiaxing UniversityJiaxingChina
| | - Xiaoming Teng
- Reproductive Medicine Center, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Junyu Zhang
- Reproductive Medicine Center, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
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Wu H, Lin JH, Tang XY, Marenne G, Zou WB, Schutz S, Masson E, Génin E, Fichou Y, Le Gac G, Férec C, Liao Z, Chen JM. Combining full-length gene assay and SpliceAI to interpret the splicing impact of all possible SPINK1 coding variants. Hum Genomics 2024; 18:21. [PMID: 38414044 PMCID: PMC10898081 DOI: 10.1186/s40246-024-00586-9] [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] [Received: 11/09/2023] [Accepted: 02/13/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Single-nucleotide variants (SNVs) within gene coding sequences can significantly impact pre-mRNA splicing, bearing profound implications for pathogenic mechanisms and precision medicine. In this study, we aim to harness the well-established full-length gene splicing assay (FLGSA) in conjunction with SpliceAI to prospectively interpret the splicing effects of all potential coding SNVs within the four-exon SPINK1 gene, a gene associated with chronic pancreatitis. RESULTS Our study began with a retrospective analysis of 27 SPINK1 coding SNVs previously assessed using FLGSA, proceeded with a prospective analysis of 35 new FLGSA-tested SPINK1 coding SNVs, followed by data extrapolation, and ended with further validation. In total, we analyzed 67 SPINK1 coding SNVs, which account for 9.3% of the 720 possible coding SNVs. Among these 67 FLGSA-analyzed SNVs, 12 were found to impact splicing. Through detailed comparison of FLGSA results and SpliceAI predictions, we inferred that the remaining 653 untested coding SNVs in the SPINK1 gene are unlikely to significantly affect splicing. Of the 12 splice-altering events, nine produced both normally spliced and aberrantly spliced transcripts, while the remaining three only generated aberrantly spliced transcripts. These splice-impacting SNVs were found solely in exons 1 and 2, notably at the first and/or last coding nucleotides of these exons. Among the 12 splice-altering events, 11 were missense variants (2.17% of 506 potential missense variants), and one was synonymous (0.61% of 164 potential synonymous variants). Notably, adjusting the SpliceAI cut-off to 0.30 instead of the conventional 0.20 would improve specificity without reducing sensitivity. CONCLUSIONS By integrating FLGSA with SpliceAI, we have determined that less than 2% (1.67%) of all possible coding SNVs in SPINK1 significantly influence splicing outcomes. Our findings emphasize the critical importance of conducting splicing analysis within the broader genomic sequence context of the study gene and highlight the inherent uncertainties associated with intermediate SpliceAI scores (0.20 to 0.80). This study contributes to the field by being the first to prospectively interpret all potential coding SNVs in a disease-associated gene with a high degree of accuracy, representing a meaningful attempt at shifting from retrospective to prospective variant analysis in the era of exome and genome sequencing.
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Affiliation(s)
- Hao Wu
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Jin-Huan Lin
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Xin-Ying Tang
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
- Department of Prevention and Health Care, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China
| | - Gaëlle Marenne
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France
| | - Wen-Bin Zou
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Sacha Schutz
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France
- Service de Génétique Médicale et de Biologie de La Reproduction, CHRU Brest, Brest, France
| | - Emmanuelle Masson
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France
- Service de Génétique Médicale et de Biologie de La Reproduction, CHRU Brest, Brest, France
| | | | - Yann Fichou
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France
| | - Gerald Le Gac
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France
- Service de Génétique Médicale et de Biologie de La Reproduction, CHRU Brest, Brest, France
| | - Claude Férec
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France
| | - Zhuan Liao
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China.
- Shanghai Institute of Pancreatic Diseases, Shanghai, China.
| | - Jian-Min Chen
- Univ Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France.
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Esteve-Garcia A, Cobos E, Sau C, Padró-Miquel A, Català-Mora J, Barberán-Martínez P, Millán JM, García-García G, Aguilera C. Deciphering complexity: TULP1 variants linked to an atypical retinal dystrophy phenotype. Front Genet 2024; 15:1352063. [PMID: 38450199 PMCID: PMC10915255 DOI: 10.3389/fgene.2024.1352063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 01/29/2024] [Indexed: 03/08/2024] Open
Abstract
Introduction: TULP1 exemplifies the remarkable clinical and genetic heterogeneity observed in inherited retinal dystrophies. Our research describes the clinical and molecular characteristics of a patient manifesting an atypical retinal dystrophy pattern, marked by the identification of both a previously unreported and a rarely encountered TULP1 variant. Methods: Whole-exome sequencing was performed to identify potential causative variants. The pathogenicity of the identified TULP1 variants was evaluated through in silico predictors and a minigene splice assay, specifically designed to assess the effect of the unreported TULP1 variant. Results: We identified two TULP1 gene variants in a patient exhibiting unusual and symmetrical alterations in both retinas, characterized by an increase in autofluorescence along the distribution of retinal vessels. These variants included a known rare missense variant, c.1376T>C, and a novel splice site variant, c.822G>T. For the latter variant (c.822G>T), we conducted a minigene splice assay that demonstrated the incorporation of a premature stop codon. This finding suggests a likely activation of the nonsense-mediated mRNA decay mechanism, ultimately resulting in the absence of protein production from this allele. Segregation analysis confirmed that these variants were in trans. Discussion: Our data support that individuals with biallelic TULP1 variants may present with a unique pattern of macular degeneration and periarteriolar vascular pigmentation. This study highlights the importance of further clinical and molecular characterization of TULP1 variants to elucidate genotype-phenotype correlations in the context of inherited retinal dystrophies.
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Affiliation(s)
- Anna Esteve-Garcia
- Department of Clinical Genetics, Bellvitge University Hospital, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Estefania Cobos
- Department of Ophthalmology, Bellvitge University Hospital, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Cristina Sau
- Department of Clinical Genetics, Bellvitge University Hospital, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ariadna Padró-Miquel
- Genetics Laboratory, Bellvitge University Hospital, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Jaume Català-Mora
- Department of Ophthalmology, SJD Barcelona Children’s Hospital, Barcelona, Spain
| | - Pilar Barberán-Martínez
- Molecular, Cellular, and Genomic Biomedicine Group, Valencia, Spain
- Joint Unit CIPF-IIS La Fe Molecular, Cellular and Genomic Biomedicine, Valencia, Spain
| | - José M. Millán
- Molecular, Cellular, and Genomic Biomedicine Group, Valencia, Spain
- Joint Unit CIPF-IIS La Fe Molecular, Cellular and Genomic Biomedicine, Valencia, Spain
- Center for Rare Diseases (CIBERER), Madrid, Spain
- University and Polytechnic La Fe Hospital of Valencia, Valencia, Spain
| | - Gema García-García
- Molecular, Cellular, and Genomic Biomedicine Group, Valencia, Spain
- Joint Unit CIPF-IIS La Fe Molecular, Cellular and Genomic Biomedicine, Valencia, Spain
- Center for Rare Diseases (CIBERER), Madrid, Spain
| | - Cinthia Aguilera
- Genetics Laboratory, Bellvitge University Hospital, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
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Bouras A, Grand-Masson C, Lefol C, Ruano E, Prieur F, Wang Q. Aberrant transcription caused by an intronic non-canonical CDH1 variant. Fam Cancer 2024:10.1007/s10689-024-00361-8. [PMID: 38310587 DOI: 10.1007/s10689-024-00361-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/27/2024] [Indexed: 02/06/2024]
Affiliation(s)
- Ahmed Bouras
- Centre Léon Bérard, Laboratory of constitutional genetics for frequent cancer HCL-CLB, Lyon, 69008, France.
- Inserm U1052, Lyon Cancer Research Center, Lyon, France.
| | - Chloé Grand-Masson
- Centre Léon Bérard, Laboratory of constitutional genetics for frequent cancer HCL-CLB, Lyon, 69008, France
| | - Cedrick Lefol
- Centre Léon Bérard, Laboratory of constitutional genetics for frequent cancer HCL-CLB, Lyon, 69008, France
| | - Eric Ruano
- Centre Léon Bérard, Laboratory of constitutional genetics for frequent cancer HCL-CLB, Lyon, 69008, France
| | - Fabienne Prieur
- CHU de St. Etienne, Hôpital Nord, Service de Génétique Médicale, Saint-Etienne, France
| | - Qing Wang
- Centre Léon Bérard, Laboratory of constitutional genetics for frequent cancer HCL-CLB, Lyon, 69008, France
- Inserm U1052, Lyon Cancer Research Center, Lyon, France
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32
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Haque B, Cheerie D, Birkadze S, Xu AL, Nalpathamkalam T, Thiruvahindrapuram B, Walker S, Costain G. Estimating the proportion of nonsense variants undergoing the newly described phenomenon of manufactured splice rescue. Eur J Hum Genet 2024; 32:238-242. [PMID: 38012313 PMCID: PMC10853237 DOI: 10.1038/s41431-023-01495-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/01/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023] Open
Abstract
A recent report described a nonsense variant simultaneously creating a donor splice site, resulting in a truncated but functional protein. To explore the generalizability of this unique mechanism, we annotated >115,000 nonsense variants using SpliceAI. Between 0.61% (donor gain delta score >0.8, for high precision) and 2.57% (>0.2, for high sensitivity) of nonsense variants were predicted to create new donor splice sites at or upstream of the stop codon. These variants were less likely than other nonsense variants in the same genes to be classified as pathogenic/likely pathogenic in ClinVar (p < 0.001). Up to 1 in 175 nonsense variants were predicted to result in small in-frame deletions and loss-of-function evasion through this "manufactured splice rescue" mechanism. We urge caution when interpreting nonsense variants where manufactured splice rescue is a strong possibility and correlation with phenotype is challenging, as will often be the case with secondary findings and newborn genomic screening programs.
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Affiliation(s)
- Bushra Haque
- Program in Genetics & Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - David Cheerie
- Program in Genetics & Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Saba Birkadze
- Program in Genetics & Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Alice Linyan Xu
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Thomas Nalpathamkalam
- The Centre for Applied Genomics (TCAG), SickKids Research Institute, Toronto, ON, Canada
| | | | - Susan Walker
- The Centre for Applied Genomics (TCAG), SickKids Research Institute, Toronto, ON, Canada
| | - Gregory Costain
- Program in Genetics & Genome Biology, SickKids Research Institute, Toronto, ON, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
- Division of Clinical & Metabolic Genetics, The Hospital for Sick Children (SickKids), and Department of Paediatrics, University of Toronto, Toronto, ON, Canada.
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Terkelsen T, Mikkelsen NS, Bak EN, Vad-Nielsen J, Blechingberg J, Weiss S, Drue SO, Andersen H, Andresen BS, Bak RO, Jensen UB. CRISPR activation to characterize splice-altering variants in easily accessible cells. Am J Hum Genet 2024; 111:309-322. [PMID: 38272032 PMCID: PMC10870130 DOI: 10.1016/j.ajhg.2023.12.024] [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] [Received: 07/10/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/27/2024] Open
Abstract
Genetic variants that affect mRNA splicing are a major cause of hereditary disorders, but the spliceogenicity of variants is challenging to predict. RNA diagnostics of clinically accessible tissues enable rapid functional characterization of splice-altering variants within their natural genetic context. However, this analysis cannot be offered to all individuals as one in five human disease genes are not expressed in easily accessible cell types. To overcome this problem, we have used CRISPR activation (CRISPRa) based on a dCas9-VPR mRNA-based delivery platform to induce expression of the gene of interest in skin fibroblasts from individuals with suspected monogenic disorders. Using this ex vivo splicing assay, we characterized the splicing patterns associated with germline variants in the myelin protein zero gene (MPZ), which is exclusively expressed in Schwann cells of the peripheral nerves, and the spastin gene (SPAST), which is predominantly expressed in the central nervous system. After overnight incubation, CRISPRa strongly upregulated MPZ and SPAST transcription in skin fibroblasts, which enabled splice variant profiling using reverse transcription polymerase chain reaction, next-generation sequencing, and long-read sequencing. Our investigations show proof of principle of a promising genetic diagnostic tool that involves CRISPRa to activate gene expression in easily accessible cells to study the functional impact of genetic variants. The procedure is easy to perform in a diagnostic laboratory with equipment and reagents all readily available.
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Affiliation(s)
- Thorkild Terkelsen
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark.
| | | | - Ebbe Norskov Bak
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Johan Vad-Nielsen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Jenny Blechingberg
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Simone Weiss
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Simon Opstrup Drue
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Henning Andersen
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Brage Storstein Andresen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Rasmus O Bak
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Uffe Birk Jensen
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark.
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Fowler DM, Rehm HL. Will variants of uncertain significance still exist in 2030? Am J Hum Genet 2024; 111:5-10. [PMID: 38086381 PMCID: PMC10806733 DOI: 10.1016/j.ajhg.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/12/2023] [Accepted: 11/13/2023] [Indexed: 12/28/2023] Open
Abstract
In 2020, the National Human Genome Research Institute (NHGRI) made ten "bold predictions," including that "the clinical relevance of all encountered genomic variants will be readily predictable, rendering the diagnostic designation 'variant of uncertain significance (VUS)' obsolete." We discuss the prospects for this prediction, arguing that many, if not most, VUS in coding regions will be resolved by 2030. We outline a confluence of recent changes making this possible, especially advances in the standards for variant classification that better leverage diverse types of evidence, improvements in computational variant effect predictor performance, scalable multiplexed assays of variant effect capable of saturating the genome, and data-sharing efforts that will maximize the information gained from each new individual sequenced and variant interpreted. We suggest that clinicians and researchers can realize a future where VUSs have largely been eliminated, in line with the NHGRI's bold prediction. The length of time taken to reach this future, and thus whether we are able to achieve the goal of largely eliminating VUSs by 2030, is largely a consequence of the choices made now and in the next few years. We believe that investing in eliminating VUSs is worthwhile, since their predominance remains one of the biggest challenges to precision genomic medicine.
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Affiliation(s)
- Douglas M Fowler
- Department of Genome Sciences, University of Washington, Seattle, WA, USA; Department of Bioengineering, University of Washington, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
| | - Heidi L Rehm
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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Kim JA, Jang M, Jang SY, Kim D, Kim Y, Kim J, Park TK, Jang J. Overcoming challenges associated with identifying FBN1 deep intronic variants through whole-genome sequencing. J Clin Lab Anal 2024; 38:e25009. [PMID: 38234087 PMCID: PMC10829686 DOI: 10.1002/jcla.25009] [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] [Received: 09/27/2023] [Revised: 01/04/2024] [Accepted: 01/07/2024] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND Marfan syndrome (MFS), caused by pathogenic variants of FBN1 (fibrillin-1), is a systemic connective tissue disorder with variable phenotypes and treatment responsiveness depending on the variant. However, a significant number of individuals with MFS remain genetically unexplained. In this study, we report novel pathogenic intronic variants in FBN1 in two unrelated families with MFS. METHODS We evaluated subjects with suspected MFS from two unrelated families using Sanger sequencing or multiplex ligation-dependent probe amplification of FBN1 and/or panel-based next-generation sequencing. As no pathogenic variants were identified, whole-genome sequencing was performed. Identified variants were analyzed by reverse transcription-PCR and targeted sequencing of FBN1 mRNA harvested from peripheral blood or skin fibroblasts obtained from affected probands. RESULTS We found causative deep intronic variants, c.6163+1484A>T and c.5788+36C>A, in FBN1. The splicing analysis revealed an insertion of in-frame or out-of-frame intronic sequences of the FBN1 transcript predicted to alter function of calcium-binding epidermal growth factor protein domain. Family members carrying c.6163+1484A>T had high systemic scores including prominent skeletal features and aortic dissection with lesser aortic dilatation. Family members carrying c.5788+36C>A had more severe aortic root dilatation without aortic dissection. Both families had ectopia lentis. CONCLUSION Variable penetrance of the phenotype and negative genetic testing in MFS families should raise the possibility of deep intronic FBN1 variants and the need for additional molecular studies. This study expands the mutation spectrum of FBN1 and points out the importance of intronic sequence analysis and the need for integrative functional studies in MFS diagnosis.
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Affiliation(s)
- Jee Ah Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea
| | - Mi‐Ae Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea
| | - Shin Yi Jang
- Division of Cardiology, Department of Medicine, Heart Vascular Stroke Institute, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea
| | - Duk‐Kyung Kim
- Division of Cardiology, Department of Medicine, Heart Vascular Stroke Institute, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea
- Division of Cardiology, Department of Medicine, Samsung Changwon HospitalSungkyunkwan University School of MedicineChangwon‐siKorea
| | - Young‐gon Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea
| | - Jong‐Won Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea
| | - Taek Kyu Park
- Division of Cardiology, Department of Medicine, Heart Vascular Stroke Institute, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea
| | - Ja‐Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea
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Lin Y, Xu J, Yang T. [Genetic and phenotypic analysis of MYO15A rare variants associated with autosomal recessive hearing loss]. LIN CHUANG ER BI YAN HOU TOU JING WAI KE ZA ZHI = JOURNAL OF CLINICAL OTORHINOLARYNGOLOGY, HEAD, AND NECK SURGERY 2024; 38:38-43. [PMID: 38297847 PMCID: PMC11116157 DOI: 10.13201/j.issn.2096-7993.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Indexed: 02/02/2024]
Abstract
Objective:To analyze the phenotype and genotype characteristics of autosomal recessive hearing loss caused by MYO15A gene variants, and to provide genetic diagnosis and genetic counseling for patients and their families. Methods:Identification of MYO15A gene variants by next generation sequencing in two sporadic cases of hearing loss at Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine. The sequence variants were verified by Sanger sequencing.The pathogenicity of these variants was determined according to the American College of Medical Genetics and Genomics(ACMG) variant classification guidelines, in conjuction with clinical data. Results:The probands of the two families have bilateral,severe or complete hearing loss.Four variants of MYO15A were identified, including one pathogenic variant that has been reported, two likely pathogenic variants,and one splicing variant of uncertain significance. Patient I carries c. 3524dupA(p. Ser1176Valfs*14), a reported pathogenic variant, and a splicing variant c. 10082+3G>A of uncertain significance according to the ACMG guidelines. Patient I was treated with bilateral hearing aids with satisfactory effect, demonstrated average hearing thresholds of 37.5 dB in the right ear and 33.75 dB in the left ear. Patient Ⅱ carries c. 7441_7442del(p. Leu2481Glufs*86) and c. 10250_10252del(p. Ser3417del),a pair of as likely pathogenic variants according to the ACMG guidelines. Patient Ⅱ, who underwent right cochlear implantation eight years ago, achieved scores of 9 on the Categorical Auditory Performance-Ⅱ(CAP-Ⅱ) and 5 on the Speech Intelligibility Rating(SIR). Conclusion:This study's discovery of the rare c. 7441_7442del variant and the splicing variant c. 10082+3G>A in the MYO15A gene is closely associated with autosomal recessive hearing loss, expanding the MYO15A variant spectrum. Additionally, the pathogenicity assessment of the splicing variant facilitates classification of splicing variations.
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Affiliation(s)
- Yun Lin
- Department of Otolaryngology-Head and Neck Surgery,Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai,200125,China
- Ear Institute,Shanghai Jiao Tong University School of Medicine
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases
| | - Jun Xu
- Department of Otolaryngology-Head and Neck Surgery,Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai,200125,China
- Ear Institute,Shanghai Jiao Tong University School of Medicine
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases
| | - Tao Yang
- Department of Otolaryngology-Head and Neck Surgery,Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai,200125,China
- Ear Institute,Shanghai Jiao Tong University School of Medicine
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases
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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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Sahu S, Sullivan T, Southon E, Caylor D, Geh J, Sharan SK. Protocol for the saturation and multiplexing of genetic variants using CRISPR-Cas9. STAR Protoc 2023; 4:102702. [PMID: 37948185 PMCID: PMC10658368 DOI: 10.1016/j.xpro.2023.102702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/11/2023] [Accepted: 10/20/2023] [Indexed: 11/12/2023] Open
Abstract
Here, we present a multiplexed assay for variant effect protocol to assess the functional impact of all possible genetic variations within a particular genomic region. We describe steps for saturation genome editing by designing and cloning of single-guide RNA (sgRNA). We then detail steps for nucleofection of sgRNA, testing drug response on variants, and amplification of genomic DNA for next-generation sequencing. For complete details on the use and execution of this protocol, please refer to Sahu et al.1.
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Affiliation(s)
- Sounak Sahu
- Mouse Cancer Genetics Program, Centre for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA.
| | - Teresa Sullivan
- Mouse Cancer Genetics Program, Centre for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - Eileen Southon
- Mouse Cancer Genetics Program, Centre for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - Dylan Caylor
- Mouse Cancer Genetics Program, Centre for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - Josephine Geh
- Mouse Cancer Genetics Program, Centre for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - Shyam K Sharan
- Mouse Cancer Genetics Program, Centre for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA.
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Tibelius A, Evers C, Oeser S, Rinke I, Jauch A, Hinderhofer K. Compilation of Genotype and Phenotype Data in GCDH-LOVD for Variant Classification and Further Application. Genes (Basel) 2023; 14:2218. [PMID: 38137040 PMCID: PMC10742628 DOI: 10.3390/genes14122218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/06/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Glutaric aciduria type 1 (GA-1) is a rare but treatable autosomal-recessive neurometabolic disorder of lysin metabolism caused by biallelic pathogenic variants in glutaryl-CoA dehydrogenase gene (GCDH) that lead to deficiency of GCDH protein. Without treatment, this enzyme defect causes a neurological phenotype characterized by movement disorder and cognitive impairment. Based on a comprehensive literature search, we established a large dataset of GCDH variants using the Leiden Open Variation Database (LOVD) to summarize the known genotypes and the clinical and biochemical phenotypes associated with GA-1. With these data, we developed a GCDH-specific variation classification framework based on American College of Medical Genetics and Genomics and the Association for Molecular Pathology guidelines. We used this framework to reclassify published variants and to describe their geographic distribution, both of which have practical implications for the molecular genetic diagnosis of GA-1. The freely available GCDH-specific LOVD dataset provides a basis for diagnostic laboratories and researchers to further optimize their knowledge and molecular diagnosis of this rare disease.
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Affiliation(s)
| | | | | | | | | | - Katrin Hinderhofer
- Institute of Human Genetics, Heidelberg University, 69120 Heidelberg, Germany
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40
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Guan B, Bender C, Pantrangi M, Moore N, Reeves M, Naik A, Li H, Goetz K, Blain D, Agather A, Cukras C, Zein WM, Huryn LA, Brooks BP, Hufnagel RB. The qMini assay identifies an overlooked class of splice variants. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.02.23297963. [PMID: 38076877 PMCID: PMC10705652 DOI: 10.1101/2023.11.02.23297963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Splice variants are known to cause diseases by utilizing alternative splice sites, potentially resulting in protein truncation or mRNA degradation by nonsense-mediated decay. Splice variants are verified when altered mature mRNA sequences are identified in RNA analyses or minigene assays. Using a quantitative minigene assay, qMini, we uncovered a previously overlooked class of disease-associated splice variants that did not alter mRNA sequence but decreased mature mRNA level, suggesting a potentially new pathogenic mechanism.
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Affiliation(s)
- Bin Guan
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Chelsea Bender
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Madhulatha Pantrangi
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Nia Moore
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Melissa Reeves
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Amelia Naik
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Huirong Li
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Kerry Goetz
- Office of Data Science and Health Informatics, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Delphine Blain
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Aime Agather
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Catherine Cukras
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Wadih M. Zein
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Laryssa A. Huryn
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Brian P. Brooks
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Robert B. Hufnagel
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD
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41
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Crooks DR, Cawthon GM, Fitzsimmons CM, Perez M, Ricketts CJ, Vocke CD, Yang Y, Middelton L, Nielsen D, Schmidt LS, Tandon M, Merino MJ, Ball MW, Meier JL, Batista PJ, Linehan WM. Cryptic splice mutation in the fumarate hydratase gene in patients with clinical manifestations of Hereditary Leiomyomatosis and Renal Cell Cancer. Hum Mol Genet 2023; 32:3135-3145. [PMID: 37561409 PMCID: PMC10630246 DOI: 10.1093/hmg/ddad131] [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] [Received: 07/07/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/11/2023] Open
Abstract
Hereditary leiomyomatosis and renal cell carcinoma (HLRCC) is an autosomal dominant condition characterized by the development of cutaneous and uterine leiomyomas and risk for development of an aggressive form of papillary renal cell cancer. HLRCC is caused by germline inactivating pathogenic variants in the fumarate hydratase (FH) gene, which encodes the enzyme that catalyzes the interconversion of fumarate and L-malate. We utilized enzyme and protein mobility assays to evaluate the FH enzyme in a cohort of patients who showed clinical manifestations of HLRCC but were negative for known pathogenic FH gene variants. FH enzyme activity and protein levels were decreased by 50% or greater in three family members, despite normal FH mRNA expression levels as measured by quantitative PCR. Direct Nanopore RNA sequencing demonstrated 57 base pairs of retained intron sequence between exons 9 and 10 of polyadenylated FH mRNA in these patients, resulting in a truncated FH protein. Genomic sequencing revealed a heterozygous intronic alteration of the FH gene (chr1: 241498239 T/C) resulting in formation of a splice acceptor site near a polypyrimidine tract, and a uterine fibroid obtained from a patient showed loss of heterozygosity at this site. The same intronic FH variant was identified in an unrelated patient who also showed a clinical phenotype of HLRCC. These data demonstrate that careful clinical assessment as well as biochemical characterization of FH enzyme activity, protein expression, direct RNA sequencing, and genomic DNA sequencing of patient-derived cells can identify pathogenic variants outside of the protein coding regions of the FH gene.
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Affiliation(s)
- Daniel R Crooks
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Geetha Mariah Cawthon
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Christina M Fitzsimmons
- RNA Metabolism and Epitranscriptomics Unit, Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, 9000 Rockville Pike, Bethesda, MD 20892, United States
| | - Minervo Perez
- Chemical Biology Laboratory, National Cancer Institute, 1050 Boyles St., Frederick, MD 21072, United States
| | - Christopher J Ricketts
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Cathy D Vocke
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Ye Yang
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Lindsay Middelton
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Debbie Nielsen
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Laura S Schmidt
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
- Basic Science Program, Frederick National Laboratory for Cancer Research, 1050 Boyles St. Frederick, MD 21701, United States
| | - Mayank Tandon
- CCR Collaborative Bioinformatics Resource (CCBR), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., 1050 Boyles St., Frederick, MD 21072, United States
| | - Maria J Merino
- Translational Surgical Pathology, Laboratory of Pathology Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, United States
| | - Mark W Ball
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Jordan L Meier
- Chemical Biology Laboratory, National Cancer Institute, 1050 Boyles St., Frederick, MD 21072, United States
| | - Pedro J Batista
- RNA Metabolism and Epitranscriptomics Unit, Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, 9000 Rockville Pike, Bethesda, MD 20892, United States
| | - William Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, United States
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Hirschi OR, Felker SA, Rednam SP, Vallance KL, Parsons DW, Roy A, Cooper GM, Plon SE. Combined Bioinformatic and Splicing Analysis of Likely Benign Intronic and Synonymous Variants Reveals Evidence for Pathogenicity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.30.23297632. [PMID: 37961416 PMCID: PMC10635218 DOI: 10.1101/2023.10.30.23297632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Current clinical variant analysis pipelines focus on coding variants and intronic variants within 10-20 bases of an exon-intron boundary that may affect splicing. The impact of newer splicing prediction algorithms combined with in vitro splicing assays on rare variants currently considered Benign/Likely Benign (B/LB) is unknown. Methods Exome sequencing data from 576 pediatric cancer patients enrolled in the Texas KidsCanSeq study were filtered for intronic or synonymous variants absent from population databases, predicted to alter splicing via SpliceAI (>0.20), and scored as potentially deleterious by CADD (>10.0). Total cellular RNA was extracted from monocytes and RT-PCR products analyzed. Subsequently, rare synonymous or intronic B/LB variants in a subset of genes submitted to ClinVar were similarly evaluated. Variants predicted to lead to a frameshifted splicing product were functionally assessed using an in vitro splicing reporter assay in HEK-293T cells. Results KidsCanSeq exome data analysis revealed a rare, heterozygous, intronic variant (NM_177438.3(DICER1):c.574-26A>G) predicted by SpliceAI to result in gain of a secondary splice acceptor site. The proband had a personal and family history of pleuropulmonary blastoma consistent with DICER1 syndrome but negative clinical sequencing reports. Proband RNA analysis revealed alternative DICER1 transcripts including the SpliceAI-predicted transcript.Similar bioinformatic analysis of synonymous or intronic B/LB variants (n=31,715) in ClinVar from 61 Mendelian disease genes yielded 18 variants, none of which could be scored by MaxEntScan. Eight of these variants were assessed (DICER1 n=4, CDH1 n=2, PALB2 n=2) using in vitro splice reporter assay and demonstrated abnormal splice products (mean 66%; range 6% to 100%). Available phenotypic information from submitting laboratories demonstrated DICER1 phenotypes in 2 families (1 variant) and breast cancer phenotypes for PALB2 in 3 families (2 variants). Conclusions Our results demonstrate the power of newer predictive splicing algorithms to highlight rare variants previously considered B/LB in patients with features of hereditary conditions. Incorporation of SpliceAI annotation of existing variant data combined with either direct RNA analysis or in vitro assays has the potential to identify disease-associated variants in patients without a molecular diagnosis.
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Affiliation(s)
- Owen R Hirschi
- Baylor College of Medicine, Houston, Texas
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas
| | | | - Surya P Rednam
- Baylor College of Medicine, Houston, Texas
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas
| | | | - D Williams Parsons
- Baylor College of Medicine, Houston, Texas
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas
| | | | | | - Sharon E Plon
- Baylor College of Medicine, Houston, Texas
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, Texas
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Chen A, Ling J, Peng X, Liu X, Mao S, Chen Y, Qin M, Zhang S, Bai Y, Song J, Feng Z, Ma L, He D, Mei L, He C, Feng Y. A Novel EYA1 Mutation Causing Alternative RNA Splicing in a Chinese Family With Branchio-Oto Syndrome: Implications for Molecular Diagnosis and Clinical Application. Clin Exp Otorhinolaryngol 2023; 16:342-358. [PMID: 37817567 DOI: 10.21053/ceo.2023.00668] [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: 05/12/2023] [Accepted: 10/11/2023] [Indexed: 10/12/2023] Open
Abstract
OBJECTIVES Branchio-oto syndrome (BOS) primarily manifests as hearing loss, preauricular pits, and branchial defects. EYA1 is the most common pathogenic gene, and splicing mutations account for a substantial proportion of cases. However, few studies have addressed the structural changes in the protein caused by splicing mutations and potential pathogenic factors, and several studies have shown that middle-ear surgery has limited effectiveness in improving hearing in these patients. BOS has also been relatively infrequently reported in the Chinese population. This study explored the genetic etiology in the family of a proband with BOS and provided clinical treatment to improve the patient's hearing. METHODS We collected detailed clinical features and peripheral blood samples from the patients and unaffected individuals within the family. Pathogenic mutations were identified by whole-exome sequencing and cosegregation analysis and classified according to the American College of Medical Genetics and Genomics guidelines. Alternative splicing was verified through a minigene assay. The predicted three-dimensional protein structure and biochemical experiments were used to investigate the pathogenicity of the mutation. The proband underwent middle-ear surgery and was followed up at 1 month and 6 months postoperatively to monitor auditory improvement. RESULTS A novel heterozygous EYA1 splicing variant (c.1050+4 A>C) was identified and classified as pathogenic (PVS1(RNA), PM2, PP1). Skipping of exon 11 of the EYA1 pre-mRNA was confirmed using a minigene assay. This mutation may impair EYA1-SIX1 interactions, as shown by an immunoprecipitation assay. The EYA1-Mut protein exhibited cellular mislocalization and decreased protein expression in cytological experiments. Middle-ear surgery significantly improved hearing loss caused by bone-conduction abnormalities in the proband. CONCLUSION We reported a novel splicing variant of EYA1 in a Chinese family with BOS and revealed the potential molecular pathogenic mechanism. The significant hearing improvement observed in the proband after middle-ear surgery provides a reference for auditory rehabilitation in similar patients.
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Affiliation(s)
- Anhai Chen
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Jie Ling
- Medical Functional Experiment Center, School of Basic Medicine, Central South University, Changsha, China
| | - Xin Peng
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
| | - Xianlin Liu
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Shuang Mao
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yongjia Chen
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Mengyao Qin
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Shuai Zhang
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yijiang Bai
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Jian Song
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Zhili Feng
- Department of Otorhinolaryngology, Head and Neck Surgery, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- MOE Key Lab of Rare Pediatric Diseases and Institute of Otorhinolaryngology, Head and Neck Surgery, University of South China, Changsha, China
| | - Lu Ma
- MOE Key Lab of Rare Pediatric Diseases and Institute of Otorhinolaryngology, Head and Neck Surgery, University of South China, Changsha, China
- The Hengyang Key Laboratory of Cellular Stress Biology, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, China
| | - Dinghua He
- Department of Otorhinolaryngology, The Affiliated Maternal and Child Health Hospital of Hunan Province, Hengyang Medical School, University of South China, Changsha, China
| | - Lingyun Mei
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Chufeng He
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Otolaryngology Major Disease Research of Hunan Province, Changsha, China
- National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yong Feng
- Department of Otorhinolaryngology, Xiangya Hospital, Central South University, Changsha, China
- Department of Otorhinolaryngology, Head and Neck Surgery, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
- MOE Key Lab of Rare Pediatric Diseases and Institute of Otorhinolaryngology, Head and Neck Surgery, University of South China, Changsha, China
- Department of Otorhinolaryngology, The Affiliated Maternal and Child Health Hospital of Hunan Province, Hengyang Medical School, University of South China, Changsha, China
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Xie Z, Lu Y, Liu C, Sun C, Yu J, Ling C, Luan X, Wang W, Wang L, Liang Y, Luo Q, Meng L, Wang Z, Yuan Y. Cryptic exon activation caused by a novel deep-intronic splice-altering variant in Becker muscular dystrophy. J Clin Lab Anal 2023; 37:e24987. [PMID: 37968799 PMCID: PMC10749487 DOI: 10.1002/jcla.24987] [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] [Received: 07/12/2023] [Revised: 10/21/2023] [Accepted: 10/29/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND An accurate genetic diagnosis of Becker muscular dystrophy (BMD) can be sometimes challenging due to deep intronic DMD variants. Here, we report on the genetic diagnosis of a BMD patient with a novel deep-intronic splice-altering variant in DMD. METHODS The index case was a 3.8-year-old boy who was suspected of having a diagnosis of BMD based on his clinical, muscle imaging, and pathological features. Routine genomic detection approaches did not detect any disease-causing variants in him. Muscle-derived DMD mRNA studies, followed by genomic Sanger sequencing and in silico bioinformatic analyses, were performed in the patient. RESULTS DMD mRNA studies detected a cryptic exon-containing transcript and normally spliced DMD transcript in the patient. The cryptic exon-containing transcript encoded a frameshift and premature termination codon (NP_003997.1:p.[=,Asp2740Valfs*52]). Further genomic Sanger sequencing and bioinformatic analysis identified a novel deep-intronic splice-altering variant in DMD (c.8217 + 23338A > G). The novel variant strengthened a cryptic donor splice site and activated a cryptic acceptor splice site in the deep-intronic region of DMD intron 55, resulting in the activation of a new dystrophin cryptic exon found in the patient. CONCLUSION Our case report expands the genetic spectrum of BMD and highlights the essential role of deep-intronic cryptic exon-activating variants in genetically unsolved BMD patients.
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Affiliation(s)
- Zhiying Xie
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Yunlong Lu
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Chang Liu
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Chengyue Sun
- Department of NeurologyPeking University People's HospitalBeijingChina
| | - Jiaxi Yu
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Chen Ling
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Xinghua Luan
- Department of NeurologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Wei Wang
- Department of NeurologyChina‐Japan Friendship HospitalBeijingChina
| | - Li Wang
- GrandOmics BiosciencesBeijingChina
| | | | | | - Lingchao Meng
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Zhaoxia Wang
- Department of NeurologyPeking University First HospitalBeijingChina
| | - Yun Yuan
- Department of NeurologyPeking University First HospitalBeijingChina
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Encarnação M, Ribeiro I, David H, Coutinho MF, Quelhas D, Alves S. Challenges in the Definitive Diagnosis of Niemann-Pick Type C-Leaky Variants and Alternative Transcripts. Genes (Basel) 2023; 14:1990. [PMID: 38002933 PMCID: PMC10671040 DOI: 10.3390/genes14111990] [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] [Received: 09/29/2023] [Revised: 10/17/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
Niemann-Pick type C (NPC, ORPHA: 646) is a neuro-visceral, psychiatric disease caused predominantly by pathogenic variants in the NPC1 gene or seldom in NPC2. The rarity of the disease, and its wide range of clinical phenotypes and ages of onset, turn the diagnosis into a significant challenge. Other than the detailed clinical history, the typical diagnostic work-up for NPC includes the quantification of pathognomonic metabolites. However, the molecular basis diagnosis is still of utmost importance to fully characterize the disorder. Here, the authors provide an overview of splicing variants in the NPC1 and NPC2 genes and propose a new workflow for NPC diagnosis. Splicing variants cover a significant part of the disease-causing variants in NPC. The authors used cDNA analysis to study the impact of such variants, including the collection of data to classify them as leaky or non-leaky pathogenic variants. However, the presence of naturally occurring spliced transcripts can misdiagnose or mask a pathogenic variant and make the analysis even more difficult. Analysis of the NPC1 cDNA in NPC patients in parallel with controls is vital to assess and detect alternatively spliced forms. Moreover, nonsense-mediated mRNA decay (NMD) analysis plays an essential role in evaluating the naturally occurring transcripts during cDNA analysis and distinguishing them from other pathogenic variants' associated transcripts.
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Affiliation(s)
- Marisa Encarnação
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.E.); (H.D.); (M.F.C.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Isaura Ribeiro
- Laboratório de Bioquímica Genética, Serviço de Genética Laboratorial, Centro de Genética Médica Jacinto Magalhães, Centro Hospitalar e Universitário de Santo António (CHUdSA), 4099-001 Porto, Portugal; (I.R.); (D.Q.)
- UMIB-Unit for Multidisciplinary Research in Biomedicine, ICBAS, University of Porto, 4099-002 Porto, Portugal
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-600 Porto, Portugal
| | - Hugo David
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.E.); (H.D.); (M.F.C.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
- Biology Department, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - Maria Francisca Coutinho
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.E.); (H.D.); (M.F.C.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Dulce Quelhas
- Laboratório de Bioquímica Genética, Serviço de Genética Laboratorial, Centro de Genética Médica Jacinto Magalhães, Centro Hospitalar e Universitário de Santo António (CHUdSA), 4099-001 Porto, Portugal; (I.R.); (D.Q.)
- UMIB-Unit for Multidisciplinary Research in Biomedicine, ICBAS, University of Porto, 4099-002 Porto, Portugal
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-600 Porto, Portugal
| | - Sandra Alves
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.E.); (H.D.); (M.F.C.)
- Center for the Study of Animal Science-Instituto de Ciências, Tecnologias e Agroambiente da Universidade do Porto, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculdade de Medicina Veterinária Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
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Lowther C, Valkanas E, Giordano JL, Wang HZ, Currall BB, O'Keefe K, Pierce-Hoffman E, Kurtas NE, Whelan CW, Hao SP, Weisburd B, Jalili V, Fu J, Wong I, Collins RL, Zhao X, Austin-Tse CA, Evangelista E, Lemire G, Aggarwal VS, Lucente D, Gauthier LD, Tolonen C, Sahakian N, Stevens C, An JY, Dong S, Norton ME, MacKenzie TC, Devlin B, Gilmore K, Powell BC, Brandt A, Vetrini F, DiVito M, Sanders SJ, MacArthur DG, Hodge JC, O'Donnell-Luria A, Rehm HL, Vora NL, Levy B, Brand H, Wapner RJ, Talkowski ME. Systematic evaluation of genome sequencing for the diagnostic assessment of autism spectrum disorder and fetal structural anomalies. Am J Hum Genet 2023; 110:1454-1469. [PMID: 37595579 PMCID: PMC10502737 DOI: 10.1016/j.ajhg.2023.07.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/25/2023] [Accepted: 07/25/2023] [Indexed: 08/20/2023] Open
Abstract
Short-read genome sequencing (GS) holds the promise of becoming the primary diagnostic approach for the assessment of autism spectrum disorder (ASD) and fetal structural anomalies (FSAs). However, few studies have comprehensively evaluated its performance against current standard-of-care diagnostic tests: karyotype, chromosomal microarray (CMA), and exome sequencing (ES). To assess the clinical utility of GS, we compared its diagnostic yield against these three tests in 1,612 quartet families including an individual with ASD and in 295 prenatal families. Our GS analytic framework identified a diagnostic variant in 7.8% of ASD probands, almost 2-fold more than CMA (4.3%) and 3-fold more than ES (2.7%). However, when we systematically captured copy-number variants (CNVs) from the exome data, the diagnostic yield of ES (7.4%) was brought much closer to, but did not surpass, GS. Similarly, we estimated that GS could achieve an overall diagnostic yield of 46.1% in unselected FSAs, representing a 17.2% increased yield over karyotype, 14.1% over CMA, and 4.1% over ES with CNV calling or 36.1% increase without CNV discovery. Overall, GS provided an added diagnostic yield of 0.4% and 0.8% beyond the combination of all three standard-of-care tests in ASD and FSAs, respectively. This corresponded to nine GS unique diagnostic variants, including sequence variants in exons not captured by ES, structural variants (SVs) inaccessible to existing standard-of-care tests, and SVs where the resolution of GS changed variant classification. Overall, this large-scale evaluation demonstrated that GS significantly outperforms each individual standard-of-care test while also outperforming the combination of all three tests, thus warranting consideration as the first-tier diagnostic approach for the assessment of ASD and FSAs.
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Affiliation(s)
- Chelsea Lowther
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Elise Valkanas
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Biological and Biomedical Sciences, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Jessica L Giordano
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Harold Z Wang
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin B Currall
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Kathryn O'Keefe
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Emma Pierce-Hoffman
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nehir E Kurtas
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Christopher W Whelan
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephanie P Hao
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ben Weisburd
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vahid Jalili
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jack Fu
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Isaac Wong
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan L Collins
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Program in Bioinformatics and Integrative Genomics, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Xuefang Zhao
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Christina A Austin-Tse
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Emily Evangelista
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gabrielle Lemire
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vimla S Aggarwal
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Diane Lucente
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Laura D Gauthier
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Charlotte Tolonen
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nareh Sahakian
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Christine Stevens
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joon-Yong An
- School of Biosystem and Biomedical Science, Korea University, Seoul, South Korea
| | - Shan Dong
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mary E Norton
- Center for Maternal-Fetal Precision Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Tippi C MacKenzie
- Center for Maternal-Fetal Precision Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kelly Gilmore
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Bradford C Powell
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alicia Brandt
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Francesco Vetrini
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Michelle DiVito
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Stephan J Sanders
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel G MacArthur
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Centre for Population Genomics, Garvan Institute of Medical Research, and University of New South Wales Sydney, Sydney, NSW, Australia; Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Jennelle C Hodge
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Anne O'Donnell-Luria
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Heidi L Rehm
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Neeta L Vora
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brynn Levy
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Harrison Brand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Ronald J Wapner
- Department of Obstetrics & Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Michael E Talkowski
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Program in Biological and Biomedical Sciences, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA; Program in Bioinformatics and Integrative Genomics, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
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Sahu S, Sullivan TL, Mitrophanov AY, Galloux M, Nousome D, Southon E, Caylor D, Mishra AP, Evans CN, Clapp ME, Burkett S, Malys T, Chari R, Biswas K, Sharan SK. Saturation genome editing of 11 codons and exon 13 of BRCA2 coupled with chemotherapeutic drug response accurately determines pathogenicity of variants. PLoS Genet 2023; 19:e1010940. [PMID: 37713444 PMCID: PMC10529611 DOI: 10.1371/journal.pgen.1010940] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 09/27/2023] [Accepted: 08/28/2023] [Indexed: 09/17/2023] Open
Abstract
The unknown pathogenicity of a significant number of variants found in cancer-related genes is attributed to limited epidemiological data, resulting in their classification as variant of uncertain significance (VUS). To date, Breast Cancer gene-2 (BRCA2) has the highest number of VUSs, which has necessitated the development of several robust functional assays to determine their functional significance. Here we report the use of a humanized-mouse embryonic stem cell (mESC) line expressing a single copy of the human BRCA2 for a CRISPR-Cas9-based high-throughput functional assay. As a proof-of-principle, we have saturated 11 codons encoded by BRCA2 exons 3, 18, 19 and all possible single-nucleotide variants in exon 13 and multiplexed these variants for their functional categorization. Specifically, we used a pool of 180-mer single-stranded donor DNA to generate all possible combination of variants. Using a high throughput sequencing-based approach, we show a significant drop in the frequency of non-functional variants, whereas functional variants are enriched in the pool of the cells. We further demonstrate the response of these variants to the DNA-damaging agents, cisplatin and olaparib, allowing us to use cellular survival and drug response as parameters for variant classification. Using this approach, we have categorized 599 BRCA2 variants including 93-single nucleotide variants (SNVs) across the 11 codons, of which 28 are reported in ClinVar. We also functionally categorized 252 SNVs from exon 13 into 188 functional and 60 non-functional variants, demonstrating that saturation genome editing (SGE) coupled with drug sensitivity assays can enhance functional annotation of BRCA2 VUS.
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Affiliation(s)
- Sounak Sahu
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Teresa L. Sullivan
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Alexander Y. Mitrophanov
- Statistical Consulting and Scientific Programming, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Maryland, United States of America
| | | | - Darryl Nousome
- CCR Bioinformatics Resource, Leidos Biomedical Sciences, Inc. Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Eileen Southon
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Dylan Caylor
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Arun Prakash Mishra
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Christine N. Evans
- Genome Modification Core, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Michelle E. Clapp
- Genome Modification Core, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Sandra Burkett
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Tyler Malys
- Statistical Consulting and Scientific Programming, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Maryland, United States of America
| | - Raj Chari
- Genome Modification Core, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Kajal Biswas
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
| | - Shyam K. Sharan
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America
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