Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-31573-5.pdf
Reference49 articles.
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3. Kar, S. P. et al. Genome-wide meta-analyses of breast, ovarian, and prostate cancer association studies identify multiple new susceptibility loci shared by at least two cancer types. Cancer Discovery 6, 1052–1067 (2016).
4. Lambert, J.-C. et al. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nature Genetics 45, 1452–1458 (2013).
5. Hendricks, A. E., Dupuis, J., Logue, M. W., Myers, R. H. & Lunetta, K. L. Correction for multiple testing in a gene region. European Journal of Human Genetics 22, 414–418 (2014).
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