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Tree-based QTL mapping with expected local genetic relatedness matrices.
Link, Vivian; Schraiber, Joshua G; Fan, Caoqi; Dinh, Bryan; Mancuso, Nicholas; Chiang, Charleston W K; Edge, Michael D.
Afiliación
  • Link V; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
  • Schraiber JG; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
  • Fan C; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Dinh B; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Mancuso N; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Chiang CWK; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Edge MD; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA. Electronic address: edgem@usc.edu.
Am J Hum Genet ; 110(12): 2077-2091, 2023 Dec 07.
Article en En | MEDLINE | ID: mdl-38065072
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sitios de Carácter Cuantitativo / Estudio de Asociación del Genoma Completo / Genética de Población Límite: Humans Idioma: En Revista: Am J Hum Genet Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sitios de Carácter Cuantitativo / Estudio de Asociación del Genoma Completo / Genética de Población Límite: Humans Idioma: En Revista: Am J Hum Genet Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos