Your browser doesn't support javascript.
loading
Significant sparse polygenic risk scores across 813 traits in UK Biobank.
Tanigawa, Yosuke; Qian, Junyang; Venkataraman, Guhan; Justesen, Johanne Marie; Li, Ruilin; Tibshirani, Robert; Hastie, Trevor; Rivas, Manuel A.
Afiliação
  • Tanigawa Y; Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America.
  • Qian J; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
  • Venkataraman G; Department of Statistics, Stanford University, Stanford, California, United States of America.
  • Justesen JM; Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America.
  • Li R; Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America.
  • Tibshirani R; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, California, United States of America.
  • Hastie T; Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America.
  • Rivas MA; Department of Statistics, Stanford University, Stanford, California, United States of America.
PLoS Genet ; 18(3): e1010105, 2022 03.
Article em En | MEDLINE | ID: mdl-35324888
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Herança Multifatorial / Estudo de Associação Genômica Ampla Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: PLoS Genet Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Herança Multifatorial / Estudo de Associação Genômica Ampla Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: PLoS Genet Ano de publicação: 2022 Tipo de documento: Article