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ClinVar database of global familial hypercholesterolemia-associated DNA variants.
Iacocca, Michael A; Chora, Joana R; Carrié, Alain; Freiberger, Tomás; Leigh, Sarah E; Defesche, Joep C; Kurtz, C Lisa; DiStefano, Marina T; Santos, Raul D; Humphries, Steve E; Mata, Pedro; Jannes, Cinthia E; Hooper, Amanda J; Wilemon, Katherine A; Benlian, Pascale; O'Connor, Robert; Garcia, John; Wand, Hannah; Tichy, Lukás; Sijbrands, Eric J; Hegele, Robert A; Bourbon, Mafalda; Knowles, Joshua W.
Afiliación
  • Iacocca MA; Robarts Research Institute, Western University, London, Ontario, Canada.
  • Chora JR; Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.
  • Carrié A; BioISI, University of Lisbon, Lisbon, Portugal.
  • Freiberger T; Hôpitaux Universitaires Pitié-Salpêtrière/Charles-Foix, Molecular and Chromosomal Genetics Center, Obesity and Dyslipidemia Genetics Unit, Assistance Publique-Hôpitaux de Paris, Paris, France.
  • Leigh SE; Inserm, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié, Sorbonne Université, Paris, France.
  • Defesche JC; Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic.
  • Kurtz CL; Ceitec and Medical Faculty, Masaryk University, Brno, London.
  • DiStefano MT; Genomics England, London, United Kingdom.
  • Santos RD; Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
  • Humphries SE; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina.
  • Mata P; Harvard Medical School, Harvard University, Boston, Massachusetts.
  • Jannes CE; Instituto do Coração, São Paulo, Brazil.
  • Hooper AJ; Centre for Cardiovascular Genetics, University College of London, London, United Kingdom.
  • Wilemon KA; Fundacion Hipercolesterolemia Familiar, Madrid, Spain.
  • Benlian P; Instituto do Coração, São Paulo, Brazil.
  • O'Connor R; PathWest Laboratory Medicine, University of Western Australia, Perth, Australia.
  • Garcia J; FH Foundation, Pasadena, California.
  • Wand H; CNRS, CHU Lille, UMR 8199 - Integrative Genomics and Metabolic Diseases Modeling, University of Lille, Lille, France.
  • Tichy L; Color Genomics, Burlingame, California.
  • Sijbrands EJ; Invitae Corporation, San Francisco, California.
  • Hegele RA; Center for Inherited Cardiovascular Disease, Stanford University, Palo Alto, California.
  • Bourbon M; Center of Molecular Biology and Gene Therapy, University Hospital Brno, Brno, Czech Republic.
  • Knowles JW; University Medical Center, Erasmus University, Rotterdam, Netherlands.
Hum Mutat ; 39(11): 1631-1640, 2018 11.
Article en En | MEDLINE | ID: mdl-30311388
ABSTRACT
Accurate and consistent variant classification is imperative for incorporation of rapidly developing sequencing technologies into genomic medicine for improved patient care. An essential requirement for achieving standardized and reliable variant interpretation is data sharing, facilitated by a centralized open-source database. Familial hypercholesterolemia (FH) is an exemplar of the utility of such a resource it has a high incidence, a favorable prognosis with early intervention and treatment, and cascade screening can be offered to families if a causative variant is identified. ClinVar, an NCBI-funded resource, has become the primary repository for clinically relevant variants in Mendelian disease, including FH. Here, we present the concerted efforts made by the Clinical Genome Resource, through the FH Variant Curation Expert Panel and global FH community, to increase submission of FH-associated variants into ClinVar. Variant-level data was categorized by submitter, variant characteristics, classification method, and available supporting data. To further reform interpretation of FH-associated variants, areas for improvement in variant submissions were identified; these include a need for more detailed submissions and submission of supporting variant-level data, both retrospectively and prospectively. Collaborating to provide thorough, reliable evidence-based variant interpretation will ultimately improve the care of FH patients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Hiperlipoproteinemia Tipo II Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Hiperlipoproteinemia Tipo II Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Canadá