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The Geisinger MyCode community health initiative: an electronic health record-linked biobank for precision medicine research.
Carey, David J; Fetterolf, Samantha N; Davis, F Daniel; Faucett, William A; Kirchner, H Lester; Mirshahi, Uyenlinh; Murray, Michael F; Smelser, Diane T; Gerhard, Glenn S; Ledbetter, David H.
Afiliação
  • Carey DJ; Geisinger Health System, Danville, PA, USA.
  • Fetterolf SN; Geisinger Health System, Danville, PA, USA.
  • Davis FD; Geisinger Health System, Danville, PA, USA.
  • Faucett WA; Geisinger Health System, Danville, PA, USA.
  • Kirchner HL; Geisinger Health System, Danville, PA, USA.
  • Mirshahi U; Geisinger Health System, Danville, PA, USA.
  • Murray MF; Geisinger Health System, Danville, PA, USA.
  • Smelser DT; Geisinger Health System, Danville, PA, USA.
  • Gerhard GS; Current address: Department of Medical Genetics and Molecular Biochemistry, Temple University School of Medicine, Philadelphia, PA, USA.
  • Ledbetter DH; Geisinger Health System, Danville, PA, USA.
Genet Med ; 18(9): 906-13, 2016 09.
Article em En | MEDLINE | ID: mdl-26866580
PURPOSE: Geisinger Health System (GHS) provides an ideal platform for Precision Medicine. Key elements are the integrated health system, stable patient population, and electronic health record (EHR) infrastructure. In 2007, Geisinger launched MyCode, a system-wide biobanking program to link samples and EHR data for broad research use. METHODS: Patient-centered input into MyCode was obtained using participant focus groups. Participation in MyCode is based on opt-in informed consent and allows recontact, which facilitates collection of data not in the EHR and, since 2013, the return of clinically actionable results to participants. MyCode leverages Geisinger's technology and clinical infrastructure for participant tracking and sample collection. RESULTS: MyCode has a consent rate of >85%, with more than 90,000 participants currently and with ongoing enrollment of ~4,000 per month. MyCode samples have been used to generate molecular data, including high-density genotype and exome sequence data. Genotype and EHR-derived phenotype data replicate previously reported genetic associations. CONCLUSION: The MyCode project has created resources that enable a new model for translational research that is faster, more flexible, and more cost-effective than traditional clinical research approaches. The new model is scalable and will increase in value as these resources grow and are adopted across multiple research platforms.Genet Med 18 9, 906-913.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bancos de Espécimes Biológicos / Pesquisa Biomédica / Medicina de Precisão / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Genet Med Assunto da revista: GENETICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bancos de Espécimes Biológicos / Pesquisa Biomédica / Medicina de Precisão / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Genet Med Assunto da revista: GENETICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos