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Paper Details

Assessing the performance of in silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer.
Hum Mutat
6
2019
CHEK2, SNV, SNVs, breast cancer, checkpoint kinase 2, gene CHEK2, human, participant, single nucleotide variants
Author NameAffiliation
Olivier LichtargeBaylor College of Medicine
Olivier LichtargeComputational and Integrative Biomedical Research Center, Baylor College of Medicine
Vikas PejaverUniversity of Washington
Vikas PejaverThe eScience Institute, University of Washington
Predrag RadivojacKhoury College of Computer and Information Sciences, Northeastern University
Predrag RadivojacKhoury College of Computer and Information Sciences, Northeastern University
Sean D MooneyUniversity of Washington
Sean D MooneyUniversity of Washington
Yana BrombergRutgers University
Yana BrombergRutgers University
Yana BrombergInstitute for Advanced Study, Technical University of Munich
Pier Luigi MartelliBiGeA/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna
Castrense SavojardoBiGeA/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna
Rita CasadioBiGeA/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna
Yue CaoTexas A&M University, College Station
Yang ShenTexas A&M University, College Station
Yang ShenTexas A&M University, College Station
Chad D HuffUniversity of Texas MD Anderson Cancer Center
Elad ZivInstitute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California san francisco
Elad ZivInstitute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California san francisco
Steven E BrennerUniversity of California berkeley
Steven E BrennerUniversity of California berkeley
Maricel G KannUniversity of Maryland
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