A knowledge-based framework for the discovery of cancer-predisposing variants using large-scale sequencing breast cancer data

A knowledge-based framework for the discovery of cancer-predisposing variants using large-scale sequencing breast cancer data

Abstract Background The landscape of cancer-predisposing genes has been extensively investigated in the last 30 years with various methodologies ranging from candidate gene to genome-wide association studies. However, sequencing data are still poorly exploited in cancer predisposition studies due to...

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Bibliographic Details
Main Authors: Giorgio E. M. Melloni, Luca Mazzarella, Loris Bernard, Margherita Bodini, Anna Russo, Lucilla Luzi, Pier Giuseppe Pelicci, Laura Riva
Format: Article
Language:English
Published: BMC 2017-05-01
Series:Breast Cancer Research
Subjects:
Breast cancer
Predisposition
Germline mutations
Somatic mutations
Online Access:http://link.springer.com/article/10.1186/s13058-017-0854-1

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http://link.springer.com/article/10.1186/s13058-017-0854-1

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