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Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models.
Mefford, Joel; Park, Danny; Zheng, Zhili; Ko, Arthur; Ala-Korpela, Mika; Laakso, Markku; Pajukanta, Päivi; Yang, Jian; Witte, John; Zaitlen, Noah.
Afiliação
  • Mefford J; Neurology, UCLA, Los Angeles, California.
  • Park D; School of Medicine, UCSF, San Francisco, California.
  • Zheng Z; Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
  • Ko A; Human Genetics, UCLA, Los Angeles, California.
  • Ala-Korpela M; Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
  • Laakso M; University of Oulu Biocenter, Oulu, Finland.
  • Pajukanta P; NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.
  • Yang J; University of Bristol School of Medical Sciences, Population Health Science, Bristol, Bristol, United Kingdom.
  • Witte J; Department of Medicine, University of Eastern Finland School of Medicine, Kuopio, Finland.
  • Zaitlen N; Human Genetics, UCLA, Los Angeles, California.
J Comput Biol ; 27(4): 599-612, 2020 04.
Article em En | MEDLINE | ID: mdl-32077750
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Herança Multifatorial / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Herança Multifatorial / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2020 Tipo de documento: Article