Your browser doesn't support javascript.
loading
Transcriptional dynamics of colorectal cancer risk associated variation at 11q23.1 correlate with tuft cell abundance and marker expression in silico.
Harris, Bradley T; Rajasekaran, Vidya; Blackmur, James P; O'Callaghan, Alan; Donnelly, Kevin; Timofeeva, Maria; Vaughan-Shaw, Peter G; Din, Farhat V N; Dunlop, Malcolm G; Farrington, Susan M.
Afiliação
  • Harris BT; Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Rajasekaran V; Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Blackmur JP; Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • O'Callaghan A; MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Donnelly K; MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Timofeeva M; Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Vaughan-Shaw PG; MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Din FVN; Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Dunlop MG; Department of Public Health, D-IAS, Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark.
  • Farrington SM; Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Sci Rep ; 12(1): 13609, 2022 08 10.
Article em En | MEDLINE | ID: mdl-35948568

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Locos de Características Quantitativas Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Locos de Características Quantitativas Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido