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The Genomics Research and Innovation Network: creating an interoperable, federated, genomics learning system.
Mandl, Kenneth D; Glauser, Tracy; Krantz, Ian D; Avillach, Paul; Bartels, Anna; Beggs, Alan H; Biswas, Sawona; Bourgeois, Florence T; Corsmo, Jeremy; Dauber, Andrew; Devkota, Batsal; Fleisher, Gary R; Heath, Allison P; Helbig, Ingo; Hirschhorn, Joel N; Kilbourn, Judson; Kong, Sek Won; Kornetsky, Susan; Majzoub, Joseph A; Marsolo, Keith; Martin, Lisa J; Nix, Jeremy; Schwarzhoff, Amy; Stedman, Jason; Strauss, Arnold; Sund, Kristen L; Taylor, Deanne M; White, Peter S; Marsh, Eric; Grimberg, Adda; Hawkes, Colin.
Afiliação
  • Mandl KD; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA. kenneth_mandl@harvard.edu.
  • Glauser T; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. kenneth_mandl@harvard.edu.
  • Krantz ID; Department of Pediatrics, Harvard Medical School, Boston, MA, USA. kenneth_mandl@harvard.edu.
  • Avillach P; Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Bartels A; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Beggs AH; Division of Human Genetics at the Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Biswas S; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
  • Bourgeois FT; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
  • Corsmo J; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Dauber A; Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Devkota B; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
  • Fleisher GR; The Manton Center for Orphan Disease Research, Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA.
  • Heath AP; Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
  • Helbig I; Division of Human Genetics at the Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Hirschhorn JN; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
  • Kilbourn J; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
  • Kong SW; Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
  • Kornetsky S; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Majzoub JA; Office of Research Compliance and Regulatory Affairs, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Marsolo K; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Martin LJ; Division of Endocrinology, Children's National Health System, Washington, DC, USA.
  • Nix J; Center for Data-Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Schwarzhoff A; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
  • Stedman J; Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
  • Strauss A; Center for Data-Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Sund KL; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
  • Taylor DM; Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • White PS; Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Marsh E; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
  • Grimberg A; Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA.
  • Hawkes C; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Genet Med ; 22(2): 371-380, 2020 02.
Article em En | MEDLINE | ID: mdl-31481752
ABSTRACT

PURPOSE:

Clinicians and researchers must contextualize a patient's genetic variants against population-based references with detailed phenotyping. We sought to establish globally scalable technology, policy, and procedures for sharing biosamples and associated genomic and phenotypic data on broadly consented cohorts, across sites of care.

METHODS:

Three of the nation's leading children's hospitals launched the Genomic Research and Innovation Network (GRIN), with federated information technology infrastructure, harmonized biobanking protocols, and material transfer agreements. Pilot studies in epilepsy and short stature were completed to design and test the collaboration model.

RESULTS:

Harmonized, broadly consented institutional review board (IRB) protocols were approved and used for biobank enrollment, creating ever-expanding, compatible biobanks. An open source federated query infrastructure was established over genotype-phenotype databases at the three hospitals. Investigators securely access the GRIN platform for prep to research queries, receiving aggregate counts of patients with particular phenotypes or genotypes in each biobank. With proper approvals, de-identified data is exported to a shared analytic workspace. Investigators at all sites enthusiastically collaborated on the pilot studies, resulting in multiple publications. Investigators have also begun to successfully utilize the infrastructure for grant applications.

CONCLUSIONS:

The GRIN collaboration establishes the technology, policy, and procedures for a scalable genomic research network.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento Eletrônico de Dados / Armazenamento e Recuperação da Informação / Gerenciamento de Dados Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento Eletrônico de Dados / Armazenamento e Recuperação da Informação / Gerenciamento de Dados Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article