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Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology.
Wang, Ying; Kanai, Masahiro; Tan, Taotao; Kamariza, Mireille; Tsuo, Kristin; Yuan, Kai; Zhou, Wei; Okada, Yukinori; Huang, Hailiang; Turley, Patrick; Atkinson, Elizabeth G; Martin, Alicia R.
Afiliación
  • Wang Y; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Kanai M; Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Tan T; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Kamariza M; Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Tsuo K; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Yuan K; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
  • Zhou W; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
  • Okada Y; Society of Fellows, Harvard University, Cambridge, MA 02138, USA.
  • Huang H; Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Turley P; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Atkinson EG; Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Martin AR; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Cell Genom ; 3(10): 100408, 2023 Oct 11.
Article en En | MEDLINE | ID: mdl-37868036
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Cell Genom Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Cell Genom Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos