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Identification and analysis of individuals who deviate from their genetically-predicted phenotype.
Hawkes, Gareth; Yengo, Loic; Vedantam, Sailaja; Marouli, Eirini; Beaumont, Robin N; Tyrrell, Jessica; Weedon, Michael N; Hirschhorn, Joel; Frayling, Timothy M; Wood, Andrew R.
Afiliación
  • Hawkes G; Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, United Kingdom.
  • Yengo L; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
  • Vedantam S; Endocrinology, Boston Children's Hospital, Sharon, Massachusetts, United States of America.
  • Marouli E; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry Queen Mary University of London, London, United Kingdom.
  • Beaumont RN; Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, United Kingdom.
  • Tyrrell J; Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, United Kingdom.
  • Weedon MN; Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, United Kingdom.
  • Hirschhorn J; Boston Children's Hospital/Broad Institute, Boston, Massachusetts, United States of America.
  • Frayling TM; Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, United Kingdom.
  • Wood AR; Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, United Kingdom.
PLoS Genet ; 19(9): e1010934, 2023 09.
Article en En | MEDLINE | ID: mdl-37733769
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Estudio de Asociación del Genoma Completo Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Estudio de Asociación del Genoma Completo Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido