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Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics
BACKGROUND: The use of next-generation sequencing approaches in clinical diagnostics has led to a tremendous increase in data and a vast number of variants of uncertain significance that require interpretation. Therefore, prediction of the effects of missense mutations using in silico tools has beco...
Autores principales: | Ernst, Corinna, Hahnen, Eric, Engel, Christoph, Nothnagel, Michael, Weber, Jonas, Schmutzler, Rita K., Hauke, Jan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870501/ https://www.ncbi.nlm.nih.gov/pubmed/29580235 http://dx.doi.org/10.1186/s12920-018-0353-y |
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