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Journal of Healthcare Engineering
Volume 2016, Article ID 3617572, 14 pages
http://dx.doi.org/10.1155/2016/3617572
Review Article

Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine

1Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI 54449, USA
2Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI 54449, USA
3Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA

Received 5 August 2015; Revised 16 March 2016; Accepted 17 March 2016

Academic Editor: Saverio Affatato

Copyright © 2016 Tonia C. Carter and Max M. He. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Fodil Belghait, Beatriz Kanzki, and Alain April, “ADAM Genomics Schema - Extension for Precision Medicine Research*,” Proceedings of the 2018 International Conference on Digital Health - DH '18, pp. 1–4, . View at Publisher · View at Google Scholar
  • Karen Y. He, Yiqing Zhao, Elizabeth W. McPherson, Quan Li, Fan Xia, Chunhua Weng, Kai Wang, and Max M. He, “Pathogenic Mutations in Cancer-Predisposing Genes: A Survey of 300 Patients with Whole-Genome Sequencing and Lifetime Electronic Health Records,” Plos One, vol. 11, no. 12, pp. e0167847, 2016. View at Publisher · View at Google Scholar
  • Chih-Jian Lih, and Naoko Takebe, “Considerations of developing an NGS assay for clinical applications in precision oncology: The NCI-MATCH NGS assay experience,” Current Problems in Cancer, vol. 41, no. 3, pp. 201–211, 2017. View at Publisher · View at Google Scholar
  • Karen He, Dongliang Ge, and Max He, “Big Data Analytics for Genomic Medicine,” International Journal of Molecular Sciences, vol. 18, no. 2, pp. 412, 2017. View at Publisher · View at Google Scholar
  • Elena Tutubalina, and Sergey Nikolenko, “Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User Reviews,” Journal of Healthcare Engineering, vol. 2017, pp. 1–9, 2017. View at Publisher · View at Google Scholar
  • Chen Wang, Pan Xu, Luyu Zhang, Jing Huang, Kongkai Zhu, and Cheng Luo, “Current Strategies and Applications for Precision Drug Design,” Frontiers in Pharmacology, vol. 9, 2018. View at Publisher · View at Google Scholar
  • Daniel I. Rhon, Derek Clewley, Jodi L. Young, Charles D. Sissel, and Chad E. Cook, “Leveraging healthcare utilization to explore outcomes from musculoskeletal disorders: methodology for defining relevant variables from a health services data repository,” BMC Medical Informatics and Decision Making, vol. 18, no. 1, 2018. View at Publisher · View at Google Scholar