Selecting variants of unknown significance through network-based gene-association significantly improves risk prediction for disease-control cohorts
Author:
Funder
European Commission
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-39796-w.pdf
Reference65 articles.
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2. Cheon, J. Y., Mozersky, J. & Cook-Deegan, R. Variants of uncertain significance in BRCA: a harbinger of ethical and policy issues to come? Genome Med 6, 121 (2014).
3. Campuzano, O., Allegue, C., Fernandez, A., Iglesias, A. & Brugada, R. Determining the pathogenicity of genetic variants associated with cardiac channelopathies. Sci Rep 5, 7953 (2015).
4. Schulz, W. L., Tormey, C. A. & Torres, R. Computational Approach to Annotating Variants of Unknown Significance in Clinical Next Generation Sequencing. Lab Med 46, 285–9 (2015).
5. Eoh, K. J. et al. Comparison of Clinical Outcomes of BRCA1/2 Pathologic Mutation, Variants of Unknown Significance, or Wild Type Epithelial Ovarian Cancer Patients. Cancer Res Treat 49, 408–415 (2017).
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