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Machine learning optimized polygenic scores for blood cell traits identify sex-specific trajectories and genetic correlations with disease.
Xu, Yu; Vuckovic, Dragana; Ritchie, Scott C; Akbari, Parsa; Jiang, Tao; Grealey, Jason; Butterworth, Adam S; Ouwehand, Willem H; Roberts, David J; Di Angelantonio, Emanuele; Danesh, John; Soranzo, Nicole; Inouye, Michael.
Afiliación
  • Xu Y; Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
  • Vuckovic D; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia.
  • Ritchie SC; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
  • Akbari P; Department of Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
  • Jiang T; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK.
  • Grealey J; Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
  • Butterworth AS; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia.
  • Ouwehand WH; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
  • Roberts DJ; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK.
  • Di Angelantonio E; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
  • Danesh J; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK.
  • Soranzo N; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
  • Inouye M; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia.
Cell Genom ; 2(1): None, 2022 Jan 12.
Article en En | MEDLINE | ID: mdl-35072137
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article