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MUSSEL: Enhanced Bayesian Polygenic Risk Prediction Leveraging Information across Multiple Ancestry Groups.
Jin, Jin; Zhan, Jianan; Zhang, Jingning; Zhao, Ruzhang; O'Connell, Jared; Jiang, Yunxuan; Buyske, Steven; Gignoux, Christopher; Haiman, Christopher; Kenny, Eimear E; Kooperberg, Charles; North, Kari; Koelsch, Bertram L; Wojcik, Genevieve; Zhang, Haoyu; Chatterjee, Nilanjan.
Afiliação
  • Jin J; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Zhan J; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
  • Zhang J; 23andMe, Inc., Sunnyvale, CA, USA.
  • Zhao R; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • O'Connell J; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Jiang Y; 23andMe, Inc., Sunnyvale, CA, USA.
  • Gignoux C; Department of Statistics, Rutgers University, New Brunswick, NJ, USA.
  • Haiman C; Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Kenny EE; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Kooperberg C; Icahn Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • North K; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Koelsch BL; Department of Epidemiology, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
  • Wojcik G; 23andMe, Inc., Sunnyvale, CA, USA.
  • Zhang H; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Chatterjee N; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
bioRxiv ; 2023 Sep 21.
Article em En | MEDLINE | ID: mdl-37090648
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos