Your browser doesn't support javascript.
loading
An updated quantitative model to classify missense variants in the TP53 gene: A novel multifactorial strategy.
Fortuno, Cristina; Pesaran, Tina; Dolinsky, Jill; Yussuf, Amal; McGoldrick, Kelly; Tavtigian, Sean V; Goldgar, David; Spurdle, Amanda B; James, Paul A.
  • Fortuno C; Genetics and Computational Division, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Pesaran T; Ambry Genetics, Aliso Viejo, California, USA.
  • Dolinsky J; Ambry Genetics, Aliso Viejo, California, USA.
  • Yussuf A; Ambry Genetics, Aliso Viejo, California, USA.
  • McGoldrick K; Ambry Genetics, Aliso Viejo, California, USA.
  • Tavtigian SV; Huntsman Cancer Institute and Department of Dermatology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Goldgar D; Huntsman Cancer Institute and Department of Dermatology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Spurdle AB; Genetics and Computational Division, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • James PA; Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Australia.
Hum Mutat ; 42(10): 1351-1361, 2021 10.
Article en En | MEDLINE | ID: mdl-34273903
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genes p53 / Síndrome de Li-Fraumeni Tipo de estudio: Guideline / Prognostic_studies Límite: Humans / Middle aged Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genes p53 / Síndrome de Li-Fraumeni Tipo de estudio: Guideline / Prognostic_studies Límite: Humans / Middle aged Idioma: En Año: 2021 Tipo del documento: Article