Performance of In Silico Prediction Tools for the Detection of Germline Copy Number Variations in Cancer Predisposition Genes in 4208 Female Index Patients with Familial Breast and Ovarian Cancer

SIMPLE SUMMARY: The identification of germline copy number variants (CNVs) by targeted nextgeneration sequencing frequently relies on in silico prediction tools with unknown sensitivities. We investigated the performances of four in silico CNV prediction tools in 17 cancer predisposition genes in a...

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Detalles Bibliográficos
Autores principales: Lepkes, Louisa, Kayali, Mohamad, Blümcke, Britta, Weber, Jonas, Suszynska, Malwina, Schmidt, Sandra, Borde, Julika, Klonowska, Katarzyna, Wappenschmidt, Barbara, Hauke, Jan, Kozlowski, Piotr, Schmutzler, Rita K., Hahnen, Eric, Ernst, Corinna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794674/
https://www.ncbi.nlm.nih.gov/pubmed/33401422
http://dx.doi.org/10.3390/cancers13010118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794674/
https://www.ncbi.nlm.nih.gov/pubmed/33401422
http://dx.doi.org/10.3390/cancers13010118

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