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Navigating the Phenotype Frontier: The Monarch Initiative.
McMurry, Julie A; Köhler, Sebastian; Washington, Nicole L; Balhoff, James P; Borromeo, Charles; Brush, Matthew; Carbon, Seth; Conlin, Tom; Dunn, Nathan; Engelstad, Mark; Foster, Erin; Gourdine, Jean-Philippe; Jacobsen, Julius O B; Keith, Daniel; Laraway, Bryan; Xuan, Jeremy Nguyen; Shefchek, Kent; Vasilevsky, Nicole A; Yuan, Zhou; Lewis, Suzanna E; Hochheiser, Harry; Groza, Tudor; Smedley, Damian; Robinson, Peter N; Mungall, Christopher J; Haendel, Melissa A.
Afiliación
  • McMurry JA; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Köhler S; Institute for Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, 13353, Germany.
  • Washington NL; Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, California 94720.
  • Balhoff JP; RTI International, Durham, North Carolina 27709.
  • Borromeo C; Department of Biomedical Informatics, University of Pittsburgh, Pennsylvania 15206.
  • Brush M; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Carbon S; Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, California 94720.
  • Conlin T; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Dunn N; Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, California 94720.
  • Engelstad M; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Foster E; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Gourdine JP; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Jacobsen JO; Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, United Kingdom.
  • Keith D; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Laraway B; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Xuan JN; Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, California 94720.
  • Shefchek K; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Vasilevsky NA; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239.
  • Yuan Z; Department of Biomedical Informatics, University of Pittsburgh, Pennsylvania 15206.
  • Lewis SE; Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, California 94720.
  • Hochheiser H; Department of Biomedical Informatics, University of Pittsburgh, Pennsylvania 15206.
  • Groza T; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, 2010, Australia.
  • Smedley D; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, and Queen Mary University of London, EC1M 6BQ, United Kingdom.
  • Robinson PN; Institute for Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, 13353, Germany.
  • Mungall CJ; Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, California 94720.
  • Haendel MA; Department of Medical Informatics and Epidemiology, and Oregon Health and Science University Library, Oregon Health and Science University, Portland, Oregon 97239 haendel@ohsu.edu.
Genetics ; 203(4): 1491-5, 2016 08.
Article en En | MEDLINE | ID: mdl-27516611
ABSTRACT
The principles of genetics apply across the entire tree of life. At the cellular level we share biological mechanisms with species from which we diverged millions, even billions of years ago. We can exploit this common ancestry to learn about health and disease, by analyzing DNA and protein sequences, but also through the observable outcomes of genetic differences, i.e. phenotypes. To solve challenging disease problems we need to unify the heterogeneous data that relates genomics to disease traits. Without a big-picture view of phenotypic data, many questions in genetics are difficult or impossible to answer. The Monarch Initiative (https//monarchinitiative.org) provides tools for genotype-phenotype analysis, genomic diagnostics, and precision medicine across broad areas of disease.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biología Computacional / Genómica / Medicina de Precisión / Estudios de Asociación Genética Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Genetics Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biología Computacional / Genómica / Medicina de Precisión / Estudios de Asociación Genética Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Genetics Año: 2016 Tipo del documento: Article