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Up For A Challenge (U4C): Stimulating innovation in breast cancer genetic epidemiology.
Mechanic, Leah E; Lindström, Sara; Daily, Kenneth M; Sieberts, Solveig K; Amos, Christopher I; Chen, Huann-Sheng; Cox, Nancy J; Dathe, Marina; Feuer, Eric J; Guertin, Michael J; Hoffman, Joshua; Liu, Yunxian; Moore, Jason H; Myers, Chad L; Ritchie, Marylyn D; Schildkraut, Joellen; Schumacher, Fredrick; Witte, John S; Wang, Wen; Williams, Scott M; Gillanders, Elizabeth M.
Afiliação
  • Mechanic LE; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Lindström S; Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, United States of America.
  • Daily KM; Sage Bionetworks, Seattle, Washington, United States of America.
  • Sieberts SK; Sage Bionetworks, Seattle, Washington, United States of America.
  • Amos CI; Department of Biomedical Data Sciences, Dartmouth College, Lebanon, New Hampshire, United States of America.
  • Chen HS; Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Cox NJ; Division of Genetic Medicine, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Dathe M; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Feuer EJ; Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Guertin MJ; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America.
  • Hoffman J; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America.
  • Liu Y; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America.
  • Moore JH; Division of Informatics, Department of Biostatistics and Epidemiology, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Myers CL; Department of Computer Science and Engineering, University of Minnesota-Twin Cities, Minneapolis, Minnesota, United States of America.
  • Ritchie MD; Department of Biochemistry and Molecular Biology, Center for Systems Genomics, Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Schildkraut J; Biomedical and Translational Informatics, Geisinger Health System, Danville, Pennsylvania, United States of America.
  • Schumacher F; Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, United States of America.
  • Witte JS; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America.
  • Wang W; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America.
  • Williams SM; Department of Computer Science and Engineering, University of Minnesota-Twin Cities, Minneapolis, Minnesota, United States of America.
PLoS Genet ; 13(9): e1006945, 2017 09.
Article em En | MEDLINE | ID: mdl-28957327
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Estudo de Associação Genômica Ampla Tipo de estudo: Screening_studies Limite: Female / Humans Idioma: En Revista: PLoS Genet Assunto da revista: GENETICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Estudo de Associação Genômica Ampla Tipo de estudo: Screening_studies Limite: Female / Humans Idioma: En Revista: PLoS Genet Assunto da revista: GENETICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos