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Genomics4RD: An integrated platform to share Canadian deep-phenotype and multiomic data for international rare disease gene discovery.
Driver, Hannah G; Hartley, Taila; Price, E Magda; Turinsky, Andrei L; Buske, Orion J; Osmond, Matthew; Ramani, Arun K; Kirby, Emily; Kernohan, Kristin D; Couse, Madeline; Elrick, Hillary; Lu, Kevin; Mashouri, Pouria; Mohan, Aarthi; So, Delvin; Klamann, Conor; Le, Hannah G B H; Herscovich, Andrea; Marshall, Christian R; Statia, Andrew; Canada Consortium, Care Rare; Knoppers, Bartha M; Brudno, Michael; Boycott, Kym M.
Afiliação
  • Driver HG; Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
  • Hartley T; Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
  • Price EM; Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
  • Turinsky AL; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Buske OJ; PhenoTips, The Hospital for Sick Children, Toronto, Canada.
  • Osmond M; Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
  • Ramani AK; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Kirby E; Centre of Genomics and Policy, McGill University, Montreal, Canada.
  • Kernohan KD; Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
  • Couse M; Newborn Screening Ontario, Children's Hospital of Eastern Ontario, Ottawa, Canada.
  • Elrick H; Genomics4RD Steering Committee, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
  • Lu K; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Mashouri P; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Mohan A; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • So D; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Klamann C; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Le HGBH; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Herscovich A; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Marshall CR; Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Statia A; Genomics4RD Steering Committee, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
  • Canada Consortium CR; Genomics4RD Steering Committee, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
  • Knoppers BM; Genome Diagnostics, The Hospital for Sick Children, Toronto, Canada.
  • Brudno M; Genomics4RD Steering Committee, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
  • Boycott KM; Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
Hum Mutat ; 43(6): 800-811, 2022 06.
Article em En | MEDLINE | ID: mdl-35181971
Despite recent progress in the understanding of the genetic etiologies of rare diseases (RDs), a significant number remain intractable to diagnostic and discovery efforts. Broad data collection and sharing of information among RD researchers is therefore critical. In 2018, the Care4Rare Canada Consortium launched the project C4R-SOLVE, a subaim of which was to collect, harmonize, and share both retrospective and prospective Canadian clinical and multiomic data. Here, we introduce Genomics4RD, an integrated web-accessible platform to share Canadian phenotypic and multiomic data between researchers, both within Canada and internationally, for the purpose of discovering the mechanisms that cause RDs. Genomics4RD has been designed to standardize data collection and processing, and to help users systematically collect, prioritize, and visualize participant information. Data storage, authorization, and access procedures have been developed in collaboration with policy experts and stakeholders to ensure the trusted and secure access of data by external researchers. The breadth and standardization of data offered by Genomics4RD allows researchers to compare candidate disease genes and variants between participants (i.e., matchmaking) for discovery purposes, while facilitating the development of computational approaches for multiomic data analyses and enabling clinical translation efforts for new genetic technologies in the future.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doenças Raras Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Hum Mutat Assunto da revista: GENETICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doenças Raras Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Hum Mutat Assunto da revista: GENETICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá