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A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests.
Hecker, Julian; Townes, F William; Kachroo, Priyadarshini; Laurie, Cecelia; Lasky-Su, Jessica; Ziniti, John; Cho, Michael H; Weiss, Scott T; Laird, Nan M; Lange, Christoph.
Afiliação
  • Hecker J; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Townes FW; Department of Computer Science, Princeton University, Princeton, NJ 08540-5233, USA.
  • Kachroo P; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Laurie C; Department of Biostatistics, University of Washington, Seattle, WA 98195-1617, USA.
  • Lasky-Su J; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Ziniti J; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Cho MH; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Weiss ST; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
  • Laird NM; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Lange C; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Bioinformatics ; 36(22-23): 5432-5438, 2021 Apr 01.
Article em En | MEDLINE | ID: mdl-33367522
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos