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MSGene: Derivation and validation of a multistate model for lifetime risk of coronary artery disease using genetic risk and the electronic health record.
Urbut, Sarah M; Yeung, Ming Wai; Khurshid, Shaan; Cho, So Mi Jemma; Schuermans, Art; German, Jakob; Taraszka, Kodi; Fahed, Akl C; Ellinor, Patrick; Trinquart, Ludovic; Parmigiani, Giovanni; Gusev, Alexander; Natarajan, Pradeep.
Afiliación
  • Urbut SM; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
  • Yeung MW; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Khurshid S; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA.
  • Cho SMJ; University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700 RB Groningen, The Netherlands.
  • Schuermans A; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
  • German J; Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA.
  • Taraszka K; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA.
  • Fahed AC; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
  • Ellinor P; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Trinquart L; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA.
  • Parmigiani G; Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Gusev A; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Natarajan P; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA.
medRxiv ; 2023 Nov 08.
Article en En | MEDLINE | ID: mdl-37986972
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Marruecos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Marruecos