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Kleinfelder K, Lotti V, Eramo A, Amato F, Lo Cicero S, Castelli G, Spadaro F, Farinazzo A, Dell’Orco D, Preato S, Conti J, Rodella L, Tomba F, Cerofolini A, Baldisseri E, Bertini M, Volpi S, Villella VR, Esposito S, Zollo I, Castaldo G, Laudanna C, Sorsher EJ, Hong J, Joshi D, Cutting G, Lucarelli M, Melotti P, Sorio C. In silico analysis and theratyping of an ultra-rare CFTR genotype (W57G/A234D) in primary human rectal and nasal epithelial cells. iScience 2023; 26:108180. [PMID: 38026150 PMCID: PMC10660498 DOI: 10.1016/j.isci.2023.108180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 04/22/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023] Open
Abstract
Mutation targeted therapy in cystic fibrosis (CF) is still not eligible for all CF subjects, especially for cases carrying rare variants such as the CFTR genotype W57G/A234D (c.169T>G/c.701C>A). We performed in silico analysis of the effects of these variants on protein stability, which we functionally characterized using colonoids and reprogrammed nasal epithelial cells. The effect of mutations on cystic fibrosis transmembrane conductance regulator (CFTR) protein was analyzed by western blotting, forskolin-induced swelling (FIS), and Ussing chamber analysis. We detected a residual CFTR function that increases following treatment with the CFTR modulators VX661±VX445±VX770, correlates among models, and is associated with increased CFTR protein levels following treatment with CFTR correctors. In vivo treatment with VX770 reduced sweat chloride concentration to non-CF levels, increased the number of CFTR-dependent sweat droplets, and induced a 6% absolute increase in predicted FEV1% after 27 weeks of treatment indicating the relevance of theratyping with patient-derived cells in CF.
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Affiliation(s)
- Karina Kleinfelder
- Department of Medicine, University of Verona, Division of General Pathology, 37134 Verona, Italy
| | - Virginia Lotti
- Department of Medicine, University of Verona, Division of General Pathology, 37134 Verona, Italy
| | - Adriana Eramo
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Felice Amato
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore S.c.a.r.l., 80145 Naples, Italy
| | - Stefania Lo Cicero
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Germana Castelli
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Francesca Spadaro
- Confocal Microscopy Unit, Core Facilities, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Alessia Farinazzo
- Department of Medicine, University of Verona, Division of General Pathology, 37134 Verona, Italy
| | - Daniele Dell’Orco
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biological Chemistry, University of Verona, 37134 Verona, Italy
| | - Sara Preato
- Department of Medicine, University of Verona, Division of General Pathology, 37134 Verona, Italy
| | - Jessica Conti
- Department of Medicine, University of Verona, Division of General Pathology, 37134 Verona, Italy
| | - Luca Rodella
- Endoscopic Surgery Unit, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, Italy
| | - Francesco Tomba
- Endoscopic Surgery Unit, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, Italy
| | - Angelo Cerofolini
- Endoscopic Surgery Unit, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, Italy
| | - Elena Baldisseri
- Cystic Fibrosis Centre, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, Italy
| | - Marina Bertini
- Cystic Fibrosis Centre, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, Italy
| | - Sonia Volpi
- Cystic Fibrosis Centre, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, Italy
| | - Valeria Rachela Villella
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore S.c.a.r.l., 80145 Naples, Italy
| | - Speranza Esposito
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore S.c.a.r.l., 80145 Naples, Italy
| | - Immacolata Zollo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore S.c.a.r.l., 80145 Naples, Italy
| | - Giuseppe Castaldo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore S.c.a.r.l., 80145 Naples, Italy
| | - Carlo Laudanna
- Department of Medicine, University of Verona, Division of General Pathology, 37134 Verona, Italy
| | - Eric J. Sorsher
- Department of Pediatrics, Division of Pulmonary, Allergy/Immunology, Cystic Fibrosis & Sleep, Emory University, Atlanta, GA 30322, USA
| | - Jeong Hong
- Department of Pediatrics, Division of Pulmonary, Allergy/Immunology, Cystic Fibrosis & Sleep, Emory University, Atlanta, GA 30322, USA
| | - Disha Joshi
- Department of Pediatrics, Division of Pulmonary, Allergy/Immunology, Cystic Fibrosis & Sleep, Emory University, Atlanta, GA 30322, USA
| | - Garry Cutting
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Marco Lucarelli
- Department of Experimental Medicine, Sapienza University of Rome, 00185 Rome, Italy
- Pasteur Institute, Cenci Bolognetti Foundation, Sapienza University of Rome, 00161 Rome, Italy
| | - Paola Melotti
- Cystic Fibrosis Centre, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, Italy
| | - Claudio Sorio
- Department of Medicine, University of Verona, Division of General Pathology, 37134 Verona, Italy
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2
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Gordon W, Faino A, Stilp A, Blue E, Buckingham K, Rosenfeld M, Qu P, Collaco J, Pace R, Cutting G, Knowles M, Bamshad M, Gibson R. 548 Locus near ICOS is genetic modifier for risk of Mycobacterium avium complex airway infection in persons with cystic fibrosis. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01238-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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3
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Bowling A, Merlo C, Cox G, Dorminey M, West N, Patel S, Cutting G, Sharma N. 598 Alternate start site M265 allows 5′ nonsense variants to escape nonsense-mediated messenger ribonucleic acid decay so that readthrough and modulators can restore cystic fibrosis transmembrane conductance regulator function. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01288-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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4
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Raraigh K, Sheridan M, Aksit M, Pagel K, Hetrick K, Shultz-Lutwyche H, Myers B, Buckingham K, Pace R, Ling H, Pugh E, Knowles M, Bamshad M, Blackman S, Cutting G. 152 My patient has an unresolved CFTR genotype … what next? J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)00843-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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5
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Bowling A, Eastman A, Merlo C, Lin G, West N, Patel S, Cutting G, Sharma N. Downstream Alternate Start Site Allows N-Terminal Nonsense Variants to Escape NMD and Results in Functional Recovery by Readthrough and Modulator Combination. J Pers Med 2022; 12:jpm12091448. [PMID: 36143233 PMCID: PMC9504986 DOI: 10.3390/jpm12091448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/26/2022] [Accepted: 08/31/2022] [Indexed: 11/23/2022] Open
Abstract
Genetic variants that introduce premature termination codons (PTCs) have remained difficult to therapeutically target due to lack of protein product. Nonsense mediated mRNA decay (NMD) targets PTC-bearing transcripts to reduce the potentially damaging effects of truncated proteins. Readthrough compounds have been tested on PTC-generating variants in attempt to permit translation through a premature stop. However, readthrough compounds have not proved efficacious in a clinical setting due to lack of stable mRNA. Here, we investigate N-terminal variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene, which have been shown to escape NMD, potentially through a mechanism of alternative translation initiation at downstream AUG codons. We hypothesized that N-terminal variants in CFTR that evade NMD will produce stable transcript, allowing CFTR function to be restored by a combination of readthrough and protein modulator therapy. We investigate this using two cell line models expressing CFTR-expression minigenes (EMG; HEK293s and CFBEs) and primary human nasal epithelial (NE) cells, and we test readthrough compounds G418 and ELX-02 in combination with CFTR protein modulators. HEK293 cells expressing the variants E60X and L88X generate CFTR-specific core glycosylated products that are consistent with downstream translation initiation. Mutation of downstream methionines at codons 150 and 152 does not result in changes in CFTR protein processing in cells expressing L88X-CFTR-EMG. However, mutation of methionine at 265 results in loss of detectable CFTR protein in cells expressing E60X, L88X, and Y122X CFTR-EMGs, indicating that downstream translation initiation is occurring at the AUG codon at position M265. In HEK293 stable cells harboring L88X, treatment with readthrough compounds alone allows for formation of full-length, but misfolded CFTR protein. Upon addition of protein modulators in combination with readthrough, we observe formation of mature, complex-glycosylated CFTR. In CFBE and NE cells, addition of readthrough ELX-02 and modulator therapy results in substantial recovery of CFTR function. Our work indicates that N-terminal variants generate stable CFTR transcript due to translation initiation at a downstream AUG codon. Thus, individuals with CF bearing 5′ nonsense variants that evade NMD are ideal candidates for treatment with clinically safe readthrough compounds and modulator therapy.
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Affiliation(s)
- Alyssa Bowling
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Alice Eastman
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Christian Merlo
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD 21205, USA
| | - Gabrielle Lin
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Natalie West
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD 21205, USA
| | - Shivani Patel
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD 21205, USA
| | - Garry Cutting
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Neeraj Sharma
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Correspondence:
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6
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Kingston H, Stilp AM, Gordon W, Broome J, Gogarten SM, Ling H, Barnard J, Dugan-Perez S, Ellinor PT, Gabriel S, Germer S, Gibbs RA, Gupta N, Rice K, Smith AV, Zody MC, Blackman SM, Cutting G, Knowles MR, Zhou YH, Rosenfeld M, Gibson RL, Bamshad M, Fohner A, Blue EE. Accounting for population structure in genetic studies of cystic fibrosis. HGG Adv 2022; 3:100117. [PMID: 35647563 PMCID: PMC9136666 DOI: 10.1016/j.xhgg.2022.100117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 05/09/2022] [Indexed: 11/28/2022] Open
Abstract
CFTR F508del (c.1521_1523delCTT, p.Phe508delPhe) is the most common pathogenic allele underlying cystic fibrosis (CF), and its frequency varies in a geographic cline across Europe. We hypothesized that genetic variation associated with this cline is overrepresented in a large cohort (N > 5,000) of persons with CF who underwent whole-genome sequencing and that this pattern could result in spurious associations between variants correlated with both the F508del genotype and CF-related outcomes. Using principal-component (PC) analyses, we showed that variation in the CFTR region disproportionately contributes to a PC explaining a relatively high proportion of genetic variance. Variation near CFTR was correlated with population structure among persons with CF, and this correlation was driven by a subset of the sample inferred to have European ancestry. We performed genome-wide association studies comparing persons with CF with one versus two copies of the F508del allele; this allowed us to identify genetic variation associated with the F508del allele and to determine that standard PC-adjustment strategies eliminated the significant association signals. Our results suggest that PC adjustment can adequately prevent spurious associations between genetic variants and CF-related traits and are therefore effective tools to control for population structure even when population structure is confounded with disease severity and a common pathogenic variant.
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Affiliation(s)
- Hanley Kingston
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - William Gordon
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jai Broome
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | | | - Hua Ling
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - John Barnard
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Shannon Dugan-Perez
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Patrick T. Ellinor
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Albert V. Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - The Cystic Fibrosis Genome Project
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- New York Genome Center, New York, NY 10013, USA
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27797, USA
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- New York Genome Center, New York, NY 10013, USA
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27797, USA
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Scott M. Blackman
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Garry Cutting
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Michael R. Knowles
- Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yi-Hui Zhou
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27797, USA
| | - Margaret Rosenfeld
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Ronald L. Gibson
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Michael Bamshad
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
| | - Alison Fohner
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Elizabeth E. Blue
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
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7
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Aksit M, Ling H, Pace R, Raraigh K, Onchiri F, Pagel K, Pugh E, Faino A, Stilp A, Blue E, Wright F, Bamshad M, Zhou Y, Gibson R, Knowles M, Cutting G, Blackman S. 654: Missense variant within SLC26A9 increases risk of meconium ileus but not age at onset of cystic fibrosis–related diabetes. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02077-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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8
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Zhou Y, Gallins P, Pace R, Dang H, O’Neal W, Li Y, Ling H, Corvol H, Strug L, Bamshad M, Gibson R, Cutting G, Blackman S, Wright F, Knowles M. 644: Genetic variants that modify severity of CF lung disease: Update from the CF genome project. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02067-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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9
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Vanscoy L, Pan A, Mogayzel P, Karnsakul W, Cutting G. 55: Real-world clinical response to Trikafta: The lungs are good, but what about the liver? J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)01480-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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10
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Sharma N, Morini E, Gao D, Salani M, Joynt A, Slaugenhaupt S, Cutting G. 643: A novel splice modulator compound corrects splicing defect caused by c.2988G >A variant in CFTR. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02066-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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11
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Lin YC, Keenan K, Gong J, Panjwani N, Avolio J, Lin F, Adam D, Barrett P, Bégin S, Berthiaume Y, Bilodeau L, Bjornson C, Brusky J, Burgess C, Chilvers M, Consunji-Araneta R, Côté-Maurais G, Dale A, Donnelly C, Fairservice L, Griffin K, Henderson N, Hillaby A, Hughes D, Iqbal S, Itterman J, Jackson M, Karlsen E, Kosteniuk L, Lazosky L, Leung W, Levesque V, Maille É, Mateos-Corral D, McMahon V, Merjaneh M, Morrison N, Parkins M, Pike J, Price A, Quon BS, Reisman J, Smith C, Smith MJ, Vadeboncoeur N, Veniott D, Viczko T, Wilcox P, van Wylick R, Cutting G, Tullis E, Ratjen F, Rommens JM, Sun L, Solomon M, Stephenson AL, Brochiero E, Blackman S, Corvol H, Strug LJ. Correction to: Cystic fibrosis-related diabetes onset can be predicted using biomarkers measured at birth. Genet Med 2021; 23:2235-2236. [PMID: 34389817 PMCID: PMC8553623 DOI: 10.1038/s41436-021-01281-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Yu-Chung Lin
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Katherine Keenan
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Jiafen Gong
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Naim Panjwani
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Julie Avolio
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Fan Lin
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Damien Adam
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,CRCHUM, Montréal, QC, Canada
| | | | | | - Yves Berthiaume
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Lara Bilodeau
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Québec City, QC, Canada
| | | | - Janna Brusky
- Jim Pattison Children's Hospital, Saskatoon, SK, Canada
| | | | - Mark Chilvers
- British Columbia Children's Hospital, Vancouver, BC, Canada
| | | | | | - Andrea Dale
- Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | | | | | | | | | | | | | - Shaikh Iqbal
- The Children's Hospital of Winnipeg, Winnipeg, MB, Canada
| | | | - Mary Jackson
- Royal University Hospital, Saskatoon, SK, Canada
| | | | | | | | - Winnie Leung
- University of Alberta Hospital, Edmonton, AB, Canada
| | | | | | | | | | | | - Nancy Morrison
- Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | | | | | - April Price
- The Children's Hospital of Western Ontario, London, ON, Canada
| | | | - Joe Reisman
- The Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
| | - Clare Smith
- Foothills Medical Centre, Calgary, AB, Canada
| | - Mary Jane Smith
- Janeway Children's Health & Rehabilitation Centre, St. John's, NL, Canada
| | - Nathalie Vadeboncoeur
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Québec City, QC, Canada
| | | | - Terry Viczko
- British Columbia Children's Hospital, Vancouver, BC, Canada
| | | | | | - Garry Cutting
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Felix Ratjen
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | - Johanna M Rommens
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Lei Sun
- Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada
| | - Melinda Solomon
- Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | | | - Emmanuelle Brochiero
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,CRCHUM, Montréal, QC, Canada
| | - Scott Blackman
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Harriet Corvol
- Assistance Publique-Hôpitaux de Paris, Hôpital Trousseau, Pediatric Pulmonary Department, Paris, France.,Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, Centre de Recherche Saint Antoine, Paris, France
| | - Lisa J Strug
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. .,Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada. .,The Center for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Computer Science, University of Toronto, Toronto, ON, Canada.
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12
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Lin YC, Keenan K, Gong J, Panjwani N, Avolio J, Lin F, Adam D, Barrett P, Bégin S, Berthiaume Y, Bilodeau L, Bjornson C, Brusky J, Burgess C, Chilvers M, Consunji-Araneta R, Côté-Maurais G, Dale A, Donnelly C, Fairservice L, Griffin K, Henderson N, Hillaby A, Hughes D, Iqbal S, Itterman J, Jackson M, Karlsen E, Kosteniuk L, Lazosky L, Leung W, Levesque V, Maille É, Mateos-Corral D, McMahon V, Merjaneh M, Morrison N, Parkins M, Pike J, Price A, Quon BS, Reisman J, Smith C, Smith MJ, Vadeboncoeur N, Veniott D, Viczko T, Wilcox P, van Wylick R, Cutting G, Tullis E, Ratjen F, Rommens JM, Sun L, Solomon M, Stephenson AL, Brochiero E, Blackman S, Corvol H, Strug LJ. Cystic fibrosis-related diabetes onset can be predicted using biomarkers measured at birth. Genet Med 2021; 23:927-933. [PMID: 33500570 PMCID: PMC8105168 DOI: 10.1038/s41436-020-01073-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 12/09/2020] [Accepted: 12/15/2020] [Indexed: 12/16/2022] Open
Abstract
Purpose Cystic fibrosis (CF), caused by pathogenic variants in the CF transmembrane conductance regulator (CFTR), affects multiple organs including the exocrine pancreas, which is a causal contributor to cystic fibrosis–related diabetes (CFRD). Untreated CFRD causes increased CF-related mortality whereas early detection can improve outcomes. Methods Using genetic and easily accessible clinical measures available at birth, we constructed a CFRD prediction model using the Canadian CF Gene Modifier Study (CGS; n = 1,958) and validated it in the French CF Gene Modifier Study (FGMS; n = 1,003). We investigated genetic variants shown to associate with CF disease severity across multiple organs in genome-wide association studies. Results The strongest predictors included sex, CFTR severity score, and several genetic variants including one annotated to PRSS1, which encodes cationic trypsinogen. The final model defined in the CGS shows excellent agreement when validated on the FGMS, and the risk classifier shows slightly better performance at predicting CFRD risk later in life in both studies. Conclusion We demonstrated clinical utility by comparing CFRD prevalence rates between the top 10% of individuals with the highest risk and the bottom 10% with the lowest risk. A web-based application was developed to provide practitioners with patient-specific CFRD risk to guide CFRD monitoring and treatment.
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Affiliation(s)
- Yu-Chung Lin
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Katherine Keenan
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Jiafen Gong
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Naim Panjwani
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Julie Avolio
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Fan Lin
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Damien Adam
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,CRCHUM, Montréal, QC, Canada
| | | | | | - Yves Berthiaume
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Lara Bilodeau
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Québec City, QC, Canada
| | | | - Janna Brusky
- Jim Pattison Children's Hospital, Saskatoon, SK, Canada
| | | | - Mark Chilvers
- British Columbia Children's Hospital, Vancouver, BC, Canada
| | | | | | - Andrea Dale
- Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | | | | | | | | | | | | | - Shaikh Iqbal
- The Children's Hospital of Winnipeg, Winnipeg, MB, Canada
| | | | - Mary Jackson
- Royal University Hospital, Saskatoon, SK, Canada
| | | | | | | | - Winnie Leung
- University of Alberta Hospital, Edmonton, AB, Canada
| | | | | | | | | | | | - Nancy Morrison
- Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
| | | | | | - April Price
- The Children's Hospital of Western Ontario, London, ON, Canada
| | | | - Joe Reisman
- The Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
| | - Clare Smith
- Foothills Medical Centre, Calgary, AB, Canada
| | - Mary Jane Smith
- Janeway Children's Health & Rehabilitation Centre, St. John's, NL, Canada
| | - Nathalie Vadeboncoeur
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec-Université Laval, Québec City, QC, Canada
| | | | - Terry Viczko
- British Columbia Children's Hospital, Vancouver, BC, Canada
| | | | | | - Garry Cutting
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Felix Ratjen
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | - Johanna M Rommens
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Lei Sun
- Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada
| | - Melinda Solomon
- Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON, Canada
| | | | - Emmanuelle Brochiero
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.,CRCHUM, Montréal, QC, Canada
| | - Scott Blackman
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Harriet Corvol
- Assistance Publique-Hôpitaux de Paris, Hôpital Trousseau, Pediatric Pulmonary Department, Paris, France.,Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, Centre de Recherche Saint Antoine, Paris, France
| | - Lisa J Strug
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. .,Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada. .,The Center for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Computer Science, University of Toronto, Toronto, ON, Canada.
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13
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Clancy JP, Cotton CU, Donaldson SH, Solomon GM, VanDevanter DR, Boyle MP, Gentzsch M, Nick JA, Illek B, Wallenburg JC, Sorscher EJ, Amaral MD, Beekman JM, Naren AP, Bridges RJ, Thomas PJ, Cutting G, Rowe S, Durmowicz AG, Mense M, Boeck KD, Skach W, Penland C, Joseloff E, Bihler H, Mahoney J, Borowitz D, Tuggle KL. CFTR modulator theratyping: Current status, gaps and future directions. J Cyst Fibros 2018; 18:22-34. [PMID: 29934203 DOI: 10.1016/j.jcf.2018.05.004] [Citation(s) in RCA: 165] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 05/07/2018] [Accepted: 05/08/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND New drugs that improve the function of the cystic fibrosis transmembrane conductance regulator (CFTR) protein with discreet disease-causing variants have been successfully developed for cystic fibrosis (CF) patients. Preclinical model systems have played a critical role in this process, and have the potential to inform researchers and CF healthcare providers regarding the nature of defects in rare CFTR variants, and to potentially support use of modulator therapies in new populations. METHODS The Cystic Fibrosis Foundation (CFF) assembled a workshop of international experts to discuss the use of preclinical model systems to examine the nature of CF-causing variants in CFTR and the role of in vitro CFTR modulator testing to inform in vivo modulator use. The theme of the workshop was centered on CFTR theratyping, a term that encompasses the use of CFTR modulators to define defects in CFTR in vitro, with application to both common and rare CFTR variants. RESULTS Several preclinical model systems were identified in various stages of maturity, ranging from the expression of CFTR variant cDNA in stable cell lines to examination of cells derived from CF patients, including the gastrointestinal tract, the respiratory tree, and the blood. Common themes included the ongoing need for standardization, validation, and defining the predictive capacity of data derived from model systems to estimate clinical outcomes from modulator-treated CF patients. CONCLUSIONS CFTR modulator theratyping is a novel and rapidly evolving field that has the potential to identify rare CFTR variants that are responsive to approved drugs or drugs in development.
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Affiliation(s)
- John Paul Clancy
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
| | | | - Scott H Donaldson
- University of North Carolina at Chapel Hill - Marsico Lung Institute, United States
| | - George M Solomon
- University of Alabama at Birmingham, University of Alabama at Birmingham
| | - Donald R VanDevanter
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Michael P Boyle
- Cystic Fibrosis Foundation, Johns Hopkins University, United States
| | - Martina Gentzsch
- Marsico Lung Institute/Cystic Fibrosis Research Center, University of North Carolina, Chapel Hill, United States; Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, United States
| | - Jerry A Nick
- National Jewish Health, Denver, CO, United States
| | - Beate Illek
- UCSF Benioff Children's Hospital Oakland, United States
| | - John C Wallenburg
- Cystic Firbosis Canada, Directeur en chef des activites scientifiques, fibrose kystique, Canada
| | | | | | | | | | | | | | - Garry Cutting
- Johns Hopkins University School of Medicine, United States
| | - Steven Rowe
- University of Alabama at Birmingham, University of Alabama at Birmingham
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14
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Raraigh K, Han S, Davis E, Evans T, Pellicore M, Mccague A, Joynt A, Lu Z, Atalar M, Sharma N, Sosnay P, Cutting G. WS17.3 Functional characterisation and CFTR2 disease liability assignment of 48 missense variants. J Cyst Fibros 2018. [DOI: 10.1016/s1569-1993(18)30216-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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15
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Auerbach AD, Burn J, Cassiman JJ, Claustres M, Cotton RGH, Cutting G, den Dunnen JT, El-Ruby M, Vargas AF, Greenblatt MS, Macrae F, Matsubara Y, Rimoin DL, Vihinen M, Van Broeckhoven C. Mutation (variation) databases and registries: a rationale for coordination of efforts. Nat Rev Genet 2011; 12:881; discussion 881. [DOI: 10.1038/nrg3011-c1] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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16
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Wang Y, Busin R, Reeves C, Bezman L, Raymond G, Toomer CJ, Watkins PA, Snowden A, Moser A, Naidu S, Bibat G, Hewson S, Tam K, Clarke JTR, Charnas L, Stetten G, Karczeski B, Cutting G, Steinberg S. X-linked adrenoleukodystrophy: ABCD1 de novo mutations and mosaicism. Mol Genet Metab 2011; 104:160-6. [PMID: 21700483 DOI: 10.1016/j.ymgme.2011.05.016] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2011] [Revised: 05/25/2011] [Accepted: 05/25/2011] [Indexed: 11/23/2022]
Abstract
X-linked adrenoleukodystrophy (X-ALD) is a progressive peroxisomal disorder affecting adrenal glands, testes and myelin stability that is caused by mutations in the ABCD1 (NM_000033) gene. Males with X-ALD may be diagnosed by the demonstration of elevated very long chain fatty acid (VLCFA) levels in plasma. In contrast, only 80% of female carriers have elevated plasma VLCFA; therefore targeted mutation analysis is the most effective means for carrier detection. Amongst 489 X-ALD families tested at Kennedy Krieger Institute, we identified 20 cases in which the ABCD1 mutation was de novo in the index case, indicating that the mutation arose in the maternal germ line and supporting a new mutation rate of at least 4.1% for this group. In addition, we identified 10 cases in which a de novo mutation arose in the mother or the grandmother of the index case. In two of these cases studies indicated that the mothers were low level gonosomal mosaics. In a third case biochemical, molecular and pedigree analysis indicated the mother was a gonadal mosaic. To the best of our knowledge mosaicism has not been previously reported in X-ALD. In addition, we identified one pedigree in which the maternal grandfather was mosaic for the familial ABCD1 mutation. Less than 1% of our patient population had evidence of gonadal or gonosomal mosaicism, suggesting it is a rare occurrence for this gene and its associated disorders. However, the residual maternal risk for having additional ovum carrying the mutant allele identified in an index case that appears to have a de novo mutation is at least 13%.
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Affiliation(s)
- Ying Wang
- DNA Diagnostic Laboratory, Johns Hopkins University School of Medicine, CMSC1004, 600 N. Wolfe Street, Baltimore, MD 21287, USA.
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17
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Brezina P, Barker A, Benner A, Ross R, Nguyen KH, Anchan R, Richter K, Cutting G, Kearns W. Genetic Normalization of Differentiating Aneuploid Human Embryos. ACTA ACUST UNITED AC 2011. [DOI: 10.1038/npre.2011.6045.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
AbstractEarly embryogenesis involves a series of dynamic processes, many of which are currently not well described or understood. Aneuploidy and aneuploid mosaicism, a mixture of aneuploid and euploid cells within one embryo, in early embryonic development are principal causes of developmental failure.^1,2^ Here we show that human embryos demonstrate a significant rate of genetic correction of aneuploidy, or "genetic normalization" when cultured from the cleavage stage on day 3 (Cleavage) to the blastocyst stage on day 5 (Blastocyst) using routine in vitro fertilization (IVF) laboratory conditions. One hundred and twenty-six human Cleavage stage embryos were evaluated for clinically indicated preimplantation genetic screening (PGS). Sixty-four of these embryos were found to be aneuploid following Cleavage stage embryo biopsy and single nucleotide polymorphism (SNP) 23 chromosome molecular karyotype (microarray). Of these, 25 survived to the Blastocyst stage of development and repeat microarray evaluation was performed. The inner cell mass (ICM), containing cells destined to form the fetus, and the trophectoderm (TE), containing cells destined to form the placenta were evaluated. Sixteen of 25 embryos (64%) [95% CI: 44-80%] possessed diploid karyotypes in both the ICM and TE cell populations. An additional three Blastocyst stage embryos showed genetic correction of the TE but not the ICM and one Blastocyst stage embryo showed the reverse. Mosaicism (exceeding 5%), was not detected in any of the ICM and TE samples analyzed. Recognizing that genetic normalization may occur in developing human embryos has important implications for stem cell biology, preimplantation and developmental genetics, embryology, and reproductive medicine.1)Hassold, T. et al. A cytogenetic study of 1000 spontaneous abortions. Ann Hum Genet. 44, 151-78 (1980).2)Menasha, J., Levy, B., Hirschhorn, K., & Kardon, N.B. Incidence and spectrum of chromosome abnormalities in spontaneous abortions: new insights from a 12-year study. Genet Med. 7, 251-63 (2005).
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18
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Castellani C, Macek M, Cassiman JJ, Duff A, Massie J, ten Kate LP, Barton D, Cutting G, Dallapiccola B, Dequeker E, Girodon E, Grody W, Highsmith EW, Kääriäinen H, Kruip S, Morris M, Pignatti PF, Pypops U, Schwarz M, Soller M, Stuhrman M, Cuppens H. Benchmarks for Cystic Fibrosis carrier screening: A European consensus document. J Cyst Fibros 2010; 9:165-78. [DOI: 10.1016/j.jcf.2010.02.005] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2009] [Revised: 02/16/2010] [Accepted: 02/19/2010] [Indexed: 11/28/2022]
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19
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Kaput J, Cotton RGH, Hardman L, Watson M, Al Aqeel AI, Al-Aama JY, Al-Mulla F, Alonso S, Aretz S, Auerbach AD, Bapat B, Bernstein IT, Bhak J, Bleoo SL, Blöcker H, Brenner SE, Burn J, Bustamante M, Calzone R, Cambon-Thomsen A, Cargill M, Carrera P, Cavedon L, Cho YS, Chung YJ, Claustres M, Cutting G, Dalgleish R, den Dunnen JT, Díaz C, Dobrowolski S, dos Santos MRN, Ekong R, Flanagan SB, Flicek P, Furukawa Y, Genuardi M, Ghang H, Golubenko MV, Greenblatt MS, Hamosh A, Hancock JM, Hardison R, Harrison TM, Hoffmann R, Horaitis R, Howard HJ, Barash CI, Izagirre N, Jung J, Kojima T, Laradi S, Lee YS, Lee JY, Gil-da-Silva-Lopes VL, Macrae FA, Maglott D, Marafie MJ, Marsh SGE, Matsubara Y, Messiaen LM, Möslein G, Netea MG, Norton ML, Oefner PJ, Oetting WS, O'Leary JC, de Ramirez AMO, Paalman MH, Parboosingh J, Patrinos GP, Perozzi G, Phillips IR, Povey S, Prasad S, Qi M, Quin DJ, Ramesar RS, Richards CS, Savige J, Scheible DG, Scott RJ, Seminara D, Shephard EA, Sijmons RH, Smith TD, Sobrido MJ, Tanaka T, Tavtigian SV, Taylor GR, Teague J, Töpel T, Ullman-Cullere M, Utsunomiya J, van Kranen HJ, Vihinen M, Webb E, Weber TK, Yeager M, Yeom YI, Yim SH, Yoo HS. Planning the human variome project: the Spain report. Hum Mutat 2009; 30:496-510. [PMID: 19306394 PMCID: PMC5879779 DOI: 10.1002/humu.20972] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
The remarkable progress in characterizing the human genome sequence, exemplified by the Human Genome Project and the HapMap Consortium, has led to the perception that knowledge and the tools (e.g., microarrays) are sufficient for many if not most biomedical research efforts. A large amount of data from diverse studies proves this perception inaccurate at best, and at worst, an impediment for further efforts to characterize the variation in the human genome. Because variation in genotype and environment are the fundamental basis to understand phenotypic variability and heritability at the population level, identifying the range of human genetic variation is crucial to the development of personalized nutrition and medicine. The Human Variome Project (HVP; http://www.humanvariomeproject.org/) was proposed initially to systematically collect mutations that cause human disease and create a cyber infrastructure to link locus specific databases (LSDB). We report here the discussions and recommendations from the 2008 HVP planning meeting held in San Feliu de Guixols, Spain, in May 2008.
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Affiliation(s)
- Jim Kaput
- Division of Personalised Nutrition and Medicine, FDA/National Center for Toxicological Research, Jefferson, Arkansas 72079, USA.
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Abman S, Jobe A, Chernick V, Blaisdell C, Castro M, Ramirez MI, Gern JE, Cutting G, Redding G, Hagood JS, Whitsett J, Abman S, Raj JU, Barst R, Kato GJ, Gozal D, Haddad GG, Prabhakar NR, Gauda E, Martinez FD, Tepper R, Wood RE, Accurso F, Teague WG, Venegas J, Cole FS, Wright RJ, Gail D, Hamvas A, Kercsmar C, Kiley J, Weinmann G. Strategic plan for pediatric respiratory diseases research: an NHLBI working group report. Pediatr Pulmonol 2009; 44:2-13. [PMID: 19086051 PMCID: PMC2778243 DOI: 10.1002/ppul.20973] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The Division of Lung Diseases of the National Heart, Lung and Blood Institute (NHLBI) recently held a workshop to identify gaps in our understanding and treatment of childhood lung diseases and to define strategies to enhance translational research in this field. Leading experts with diverse experience in both laboratory and patient-oriented research reviewed selected areas of pediatric lung diseases, including perinatal programming and epigenetic influences; mechanisms of lung injury, repair, and regeneration; pulmonary vascular disease (PVD); sleep and control of breathing; and the application of novel translational methods to enhance personalized medicine. This report summarizes the proceedings of this workshop and provides recommendations for emphasis on targeted areas for future investigation. The priority areas identified for research in pediatric pulmonary diseases included: (1) epigenetic and environmental influences on lung development that program pediatric lung diseases, (2) injury, regeneration, and repair in the developing lung, (3) PVD in children, (4) development and adaptation of ventilatory responses to postnatal life, (5) nonatopic wheezing: aberrant large airway development or injury? (6) strategies to improve assessment, diagnosis, and treatment of pediatric respiratory diseases, and (7) predictive and personalized medicine for children.
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Affiliation(s)
- Steve Abman
- Washington University School of Medicine, Medicine and Pediatrics, St. Louis, Missouri
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Cotton RGH, Auerbach AD, Axton M, Barash CI, Berkovic SF, Brookes AJ, Burn J, Cutting G, den Dunnen JT, Flicek P, Freimer N, Greenblatt MS, Howard HJ, Katz M, Macrae FA, Maglott D, Möslein G, Povey S, Ramesar RS, Richards CS, Seminara D, Smith TD, Sobrido MJ, Solbakk JH, Tanzi RE, Tavtigian SV, Taylor GR, Utsunomiya J, Watson M. GENETICS. The Human Variome Project. Science 2008; 322:861-2. [PMID: 18988827 PMCID: PMC2810956 DOI: 10.1126/science.1167363] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
An ambitious plan to collect, curate, and make accessible information on genetic variations affecting human health is beginning to be realized.
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Affiliation(s)
- Richard G H Cotton
- Genomic Disorders Research Centre, Howard Florey Institute, Melbourne, Australia.
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22
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Schwarz M, Castellani C, Cuppens H, Macek M, Cassiman J, Kerem E, Durie P, Tullis E, Assael B, Bombieri C, Brown A, Casals T, Claustres M, Cutting G, Dodge J, Doull I, Farrell P, Ferec C, Girodon E, Johannesson M, Kerem B, Knowles M, Munck A, Pignatti P, Radojkovic D, Rizzotti P, Stuhrman M, Tzetis M, Zielenski J, Elborn J. EUROPEAN CYSTIC FIBROSIS SOCIETY CONSENSUS ON GENETIC TESTING. J Cyst Fibros 2008. [DOI: 10.1016/s1569-1993(08)60496-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Giardine B, Riemer C, Hefferon T, Thomas D, Hsu F, Zielenski J, Sang Y, Elnitski L, Cutting G, Trumbower H, Kern A, Kuhn R, Patrinos GP, Hughes J, Higgs D, Chui D, Scriver C, Phommarinh M, Patnaik SK, Blumenfeld O, Gottlieb B, Vihinen M, Väliaho J, Kent J, Miller W, Hardison RC. PhenCode: connecting ENCODE data with mutations and phenotype. Hum Mutat 2007; 28:554-62. [PMID: 17326095 DOI: 10.1002/humu.20484] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PhenCode (Phenotypes for ENCODE; http://www.bx.psu.edu/phencode) is a collaborative, exploratory project to help understand phenotypes of human mutations in the context of sequence and functional data from genome projects. Currently, it connects human phenotype and clinical data in various locus-specific databases (LSDBs) with data on genome sequences, evolutionary history, and function from the ENCODE project and other resources in the UCSC Genome Browser. Initially, we focused on a few selected LSDBs covering genes encoding alpha- and beta-globins (HBA, HBB), phenylalanine hydroxylase (PAH), blood group antigens (various genes), androgen receptor (AR), cystic fibrosis transmembrane conductance regulator (CFTR), and Bruton's tyrosine kinase (BTK), but we plan to include additional loci of clinical importance, ultimately genomewide. We have also imported variant data and associated OMIM links from Swiss-Prot. Users can find interesting mutations in the UCSC Genome Browser (in a new Locus Variants track) and follow links back to the LSDBs for more detailed information. Alternatively, they can start with queries on mutations or phenotypes at an LSDB and then display the results at the Genome Browser to view complementary information such as functional data (e.g., chromatin modifications and protein binding from the ENCODE consortium), evolutionary constraint, regulatory potential, and/or any other tracks they choose. We present several examples illustrating the power of these connections for exploring phenotypes associated with functional elements, and for identifying genomic data that could help to explain clinical phenotypes.
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Affiliation(s)
- Belinda Giardine
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
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Steinberg S, Katsanis S, Moser A, Cutting G. Biochemical analysis of cultured chorionic villi for the prenatal diagnosis of peroxisomal disorders: biochemical thresholds and molecular sensitivity for maternal cell contamination detection. J Med Genet 2006; 42:38-44. [PMID: 15635073 PMCID: PMC1735906 DOI: 10.1136/jmg.2004.023556] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVES The prenatal diagnosis of peroxisomal disorders is most often performed by biochemical analysis of cultured chorionic villus sample (CVS) or amniocytes. We aimed to (a) highlight the risk of maternal cell contamination (MCC) in biochemical prenatal diagnosis, (b) establish the threshold of these biochemical assays to MCC, and (c) document the sensitivity of PCR based genotyping of microsatellites for the detection of MCC in prenatal diagnosis of inborn errors by biochemical analysis. METHODS The threshold of each biochemical assay was assessed by co-cultivating fibroblasts from known affected and normal individuals. Genotypes for three polymorphic loci were determined by PCR and GeneScan analysis. The sensitivity of the molecular test was determined by DNA mixing experiments and isolation of DNA from co-cultivated fibroblasts. RESULTS MCC was detected in 2.5% of at risk CVS cultures (n = 79). Co-cultivation of defective and normal fibroblasts demonstrated that the peroxisomal biochemical assays were accurate at 25% contamination. Very low level DNA or cell contamination (1-5%) was detectable by genotyping, but an allele did not yield a definitive peak based on morphology until approximately 10% contamination. Furthermore, we demonstrated that other inborn errors of metabolism might be more susceptible to diagnostic error by low level MCC. CONCLUSION The sensitivity of the microsatellite analysis (> or =10%) is well within the threshold of peroxisomal biochemical assays. Although peroxisomal biochemical assays would not be predicted to introduce a false positive or negative result if MCC <10% were present but not recognised by molecular analysis, the same may not be true for other inborn errors of metabolism.
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Affiliation(s)
- S Steinberg
- The Kennedy Krieger Institute and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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Groman JD, Bolger W, Brass-Ernst L, Macek M, Zeitlin P, Cutting G. Recurrent and destructive nasal polyposis in 2 siblings: a possible case of Woakes' syndrome. Otolaryngol Head Neck Surg 2005; 131:1009-11. [PMID: 15577807 DOI: 10.1016/j.otohns.2004.02.031] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Joshua D Groman
- McKusick-Nathans Institute of Genetic Medicine and Cystic Fibrosis Foundation Genotyping Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Steinberg S, Chen L, Wei L, Moser A, Moser H, Cutting G, Braverman N. The PEX Gene Screen: molecular diagnosis of peroxisome biogenesis disorders in the Zellweger syndrome spectrum. Mol Genet Metab 2004; 83:252-63. [PMID: 15542397 DOI: 10.1016/j.ymgme.2004.08.008] [Citation(s) in RCA: 75] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2004] [Revised: 08/14/2004] [Accepted: 08/20/2004] [Indexed: 10/26/2022]
Abstract
Peroxisome biogenesis disorders in the Zellweger syndrome spectrum (PBD-ZSS) are caused by defects in at least 12 PEX genes required for normal organelle assembly. Clinical and biochemical features continue to be used reliably to assign patients to this general disease category. Identification of the precise genetic defect is important, however, to permit carrier testing and early prenatal diagnosis. Molecular analysis is likely to expand the clinical spectrum of PBD and may also provide data relevant to prognosis and future therapeutic intervention. However, the large number of genes involved has thus far impeded rapid mutation identification. In response, we developed the PEX Gene Screen, an algorithm for the systematic screening of exons in the six PEX genes most commonly defective in PBD-ZSS. We used PCR amplification of genomic DNA and sequencing to screen 91 unclassified PBD-ZSS patients for mutations in PEX1, PEX26, PEX6, PEX12, PEX10, and PEX2. A maximum of 14 reactions per patient identified pathological mutations in 79% and both mutant alleles in 54%. Twenty-five novel mutations were identified overall. The proportion of patients with different PEX gene defects correlated with frequencies previously identified by complementation analysis. This systematic, hierarchical approach to mutation identification is therefore a valuable tool to identify rapidly the molecular etiology of suspected PBD-ZSS disorders.
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Affiliation(s)
- Steven Steinberg
- Peroxisomal Diseases Laboratory, Kennedy Krieger Institute and Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
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Abstract
CONTEXT Sequencing of the human genome provides an immense resource for studies correlating DNA variation and epidemiology. However, appropriately powered genetic epidemiology studies often require recruitment from multiple sites. OBJECTIVES To document the burden imposed by review of multicenter studies and to determine the variability among local institutional review boards (IRBs) in the approval of a multicenter genetic epidemiology study. DESIGN A PubMed search was performed to determine the frequency of citations of multicenter studies by 5-year intervals from 1974 through 2002. A 7-question survey was sent to all participating study centers to obtain information on frequency of IRB meetings, dates for submission and approval, use/nonuse of a specific consent form, type of review performed, types of consent forms required, preparation time, and number of changes requested by the IRB at each center. Centers also provided a copy of all consent forms they generated and IRB correspondence regarding the study. SETTING AND PARTICIPANTS Thirty-one of 42 cystic fibrosis care centers in this single US multicenter genetic epidemiology study of cystic fibrosis replied, yielding a 74% response rate. MAIN OUTCOME MEASURES Frequency of published research studies and consistency among IRBs. RESULTS The number of all published single-center studies has increased 1.3-fold since 1985, while the number of published epidemiology and genetic epidemiology multicenter studies increased by 8- and 9-fold, respectively, during this same period. Evaluation of the risk of the same genetic epidemiology study by 31 IRBs ranged from minimal to high, resulting in 7 expedited reviews (23%) and 24 full reviews (77%). The number of consents required by the IRBs ranged from 1 to 4; 15 IRBs (48%) required 2 or more consents, while 10 (32%) did not require assent for children. The most common concern (52%) of IRBs pertained to the genetic aspects of the study. CONCLUSIONS Review of a protocol for a multicenter genetic epidemiology study by local IRBs was highly variable. Lack of uniformity in the review process creates uneven human subjects protection and incurs considerable inefficiency. The need for reform, such as the proposed centralized review, is underscored by the ever increasing rate of genetic discoveries facilitated by the Human Genome Project and the unprecedented opportunity to assess the relevance of genetic variation to public health.
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Affiliation(s)
- Rita McWilliams
- Bloomberg School of Public Health, Johns Hopkins Medical Institutions, Baltimore, Md, USA
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Heath JA, Beaverson K, Giardina P, Boehm C, Cutting G. A novel beta-thalassemia intermedia phenotype containing Nt494+129T-->C and NT494+132C-->A mutations in cis and a Nt168C-->T (beta(o) 39 point) mutation in trans. Am J Hematol 2001; 67:57-8. [PMID: 11279660 DOI: 10.1002/ajh.1078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Kniazeva M, Traboulsi EI, Yu Z, Stefko ST, Gorin MB, Shugart YY, O'Connell JR, Blaschak CJ, Cutting G, Han M, Zhang K. A new locus for dominant drusen and macular degeneration maps to chromosome 6q14. Am J Ophthalmol 2000; 130:197-202. [PMID: 11004294 DOI: 10.1016/s0002-9394(00)00585-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
PURPOSE To report the localization of a gene causing drusen and macular degeneration in a previously undescribed North American family. METHODS Genetic mapping studies were performed using linkage analysis in a single family with drusen and atrophic macular degeneration. RESULTS The clinical manifestations in this family ranged from fine macular drusen in asymptomatic middle-aged individuals to atrophic macular lesions in two children and two elderly patients. We mapped the gene to chromosome 6q14 between markers D6S2258 and D6S1644. CONCLUSIONS In a family with autosomal dominant drusen and atrophic macular degeneration, the gene maps to a 3.2-cM region on chromosome 6q14. This locus appears to be distinct from, but adjacent to, the loci for cone-rod dystrophy 7 (CORD7) and North Carolina macular dystrophy (MCDR1). Future identification of the gene responsible for the disease in this family will provide a better understanding of macular degeneration.
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Affiliation(s)
- M Kniazeva
- MCDB Department and Howard Hughes Medical Institute, University of Colorado at Boulder, Colorado, USA
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Shimada S, Cutting G, Uhl GR. gamma-Aminobutyric acid A or C receptor? gamma-Aminobutyric acid rho 1 receptor RNA induces bicuculline-, barbiturate-, and benzodiazepine-insensitive gamma-aminobutyric acid responses in Xenopus oocytes. Mol Pharmacol 1992; 41:683-7. [PMID: 1314944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Xenopus oocyte expression of the recently cloned gamma-aminobutyric acid (GABA) rho 1 receptor subunit cDNA yields a pharmacologic profile characteristic of the GABAc responses described by Johnston [Benzodiazepine/GABA Receptors and Chloride Channels. Receptor Biochemistry and Methodology (R. W. Olsen and J. C. Venter, eds), Vol. 5. Alan R. Liss, New York, 57-71 (1986)] and the responses to retinal mRNA recently reported in the Xenopus expression system [Proc. Natl. Acad. Sci. USA 88:4318-4322 (1991)]. A rationale for defining GABA rho 1 as forming a GABAc receptor is discussed.
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Affiliation(s)
- S Shimada
- Laboratory of Molecular Neurobiology, ARC/NIDA, Baltimore, Maryland
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Nunes V, Gaona A, Chillon M, Maña P, Casals T, Cutting G, Estivill X. Prenatal diagnosis of cystic fibrosis by simultaneous analysis of two different mutations. Prenat Diagn 1991; 11:671-2. [PMID: 1766939 DOI: 10.1002/pd.1970110827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Zeitlin PL, Lu L, Rhim J, Cutting G, Stetten G, Kieffer KA, Craig R, Guggino WB. A cystic fibrosis bronchial epithelial cell line: immortalization by adeno-12-SV40 infection. Am J Respir Cell Mol Biol 1991; 4:313-9. [PMID: 1849726 DOI: 10.1165/ajrcmb/4.4.313] [Citation(s) in RCA: 262] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
An immortalized cell line was created from a primary culture of bronchial epithelia isolated from a patient with cystic fibrosis. The culture was transformed with a hybrid virus, adeno-12-SV40, which has been used successfully on a number of different human epithelial tissues. The transformed bronchial epithelial cells have the following characteristics. (1) Cyclic adenosine monophosphate (cAMP) is stimulated by beta-adrenergic agonists. (2) Outwardly rectifying Cl- channels are present on the apical cell membrane. These channels can be activated by depolarizing voltages but not by protein kinase A or C. (3) Keratin is present by immunofluorescence, and this is consistent with the epithelial origin of the cells. (4) The SV40 large T antigen is present as demonstrated by immunofluorescence. (5) Multiple karyotype analyses show modal chromosome number to be 80 to 90. There are an average of four chromosome 7 per cell. (6) The phenylalanine508 deletion in the gene coding for the cystic fibrosis transmembrane regulator is present on at least one chromosome. The cells can be grown in multiple passages, contain the abnormal regulation of the secretory Cl- channel, and should be an appropriate substrate for studies of the mutant cystic fibrosis transmembrane regulatory protein and its interaction with the Cl- channel.
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Affiliation(s)
- P L Zeitlin
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD 21205
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