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Assessing the performance of in silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer.
Voskanian, Alin; Katsonis, Panagiotis; Lichtarge, Olivier; Pejaver, Vikas; Radivojac, Predrag; Mooney, Sean D; Capriotti, Emidio; Bromberg, Yana; Wang, Yanran; Miller, Max; Martelli, Pier Luigi; Savojardo, Castrense; Babbi, Giulia; Casadio, Rita; Cao, Yue; Sun, Yuanfei; Shen, Yang; Garg, Aditi; Pal, Debnath; Yu, Yao; Huff, Chad D; Tavtigian, Sean V; Young, Erin; Neuhausen, Susan L; Ziv, Elad; Pal, Lipika R; Andreoletti, Gaia; Brenner, Steven E; Kann, Maricel G.
Afiliación
  • Voskanian A; Department of Biological Sciences, University of Maryland, Baltimore, Maryland.
  • Katsonis P; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Lichtarge O; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
  • Pejaver V; Department of Pharmacology, Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, Texas.
  • Radivojac P; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington.
  • Mooney SD; The eScience Institute, University of Washington, Seattle, Washington.
  • Capriotti E; Khoury College of Computer and Information Sciences, Northeastern University, Boston, Massachusetts.
  • Bromberg Y; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington.
  • Wang Y; BioFolD Unit, Department of Pharmacy and Biotechnology (FaBiT), University of Bologna, Bologna, Italy.
  • Miller M; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey.
  • Martelli PL; Department of Genetics, Rutgers University, New Brunswick, New Jersey.
  • Savojardo C; Institute for Advanced Study, Technical University of Munich, Garching, Germany.
  • Babbi G; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey.
  • Casadio R; Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey.
  • Cao Y; Biocomputing Group, BiGeA/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.
  • Sun Y; Biocomputing Group, BiGeA/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.
  • Shen Y; Biocomputing Group, BiGeA/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.
  • Garg A; Biocomputing Group, BiGeA/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.
  • Pal D; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas.
  • Yu Y; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas.
  • Huff CD; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas.
  • Tavtigian SV; Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India.
  • Young E; Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India.
  • Neuhausen SL; Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Ziv E; Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Pal LR; Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.
  • Andreoletti G; Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.
  • Brenner SE; Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California.
  • Kann MG; Division of General Internal Medicine, Department of Medicine, Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California.
Hum Mutat ; 40(9): 1612-1622, 2019 09.
Article en En | MEDLINE | ID: mdl-31241222
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Hispánicos o Latinos / Biología Computacional / Polimorfismo de Nucleótido Simple / Quinasa de Punto de Control 2 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged País/Región como asunto: America do norte Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Hispánicos o Latinos / Biología Computacional / Polimorfismo de Nucleótido Simple / Quinasa de Punto de Control 2 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged País/Región como asunto: America do norte Idioma: En Revista: Hum Mutat Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article