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A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome.
Gao, Fan; Pan, Xuedong; Dodd-Eaton, Elissa B; Recio, Carlos Vera; Montierth, Matthew D; Bojadzieva, Jasmina; Mai, Phuong L; Zelley, Kristin; Johnson, Valen E; Braun, Danielle; Nichols, Kim E; Garber, Judy E; Savage, Sharon A; Strong, Louise C; Wang, Wenyi.
Afiliación
  • Gao F; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • Pan X; Department of Statistics, Rice University, Houston, Texas 77005, USA.
  • Dodd-Eaton EB; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • Recio CV; Department of Statistics, Texas A&M University, College Station, Texas 77843, USA.
  • Montierth MD; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • Bojadzieva J; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • Mai PL; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • Zelley K; Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, Texas 77030, USA.
  • Johnson VE; Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • Braun D; Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892, USA.
  • Nichols KE; Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.
  • Garber JE; Department of Statistics, Texas A&M University, College Station, Texas 77843, USA.
  • Savage SA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.
  • Strong LC; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.
  • Wang W; Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.
Genome Res ; 30(8): 1170-1180, 2020 08.
Article en En | MEDLINE | ID: mdl-32817165

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Neoplasias de la Mama / Síndrome de Li-Fraumeni / Mutación de Línea Germinal / Predisposición Genética a la Enfermedad Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans Idioma: En Revista: Genome Res Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Neoplasias de la Mama / Síndrome de Li-Fraumeni / Mutación de Línea Germinal / Predisposición Genética a la Enfermedad Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans Idioma: En Revista: Genome Res Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos