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. 2016:21:243-8.

PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY

Alexander A Morgan  1 , Sean D Mooney, Bruce J Aronow, Steven E Brenner
Affiliations

PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY

Alexander A Morgan et al. Pac Symp Biocomput. 2016.

Abstract

Rapid advances in personal, cohort, and population-scale data acquisition, such as via sequencing, proteomics, mass spectroscopy, biosensors, mobile health devices and social network activity and other apps are opening up new vistas for personalized health biomedical data collection, analysis and insight. To achieve the vaunted goals of precision medicine and go from measurement to clinical translation, substantial gains still need to be made in methods of data and knowledge integration, analysis, discovery and interpretation. In this session of the 2016 Pacific Symposium on Biocomputing, we present sixteen papers to help accomplish this for precision medicine.

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References

    1. Collins FS, Varmus H. A New Initiative on Precision Medicine. N. Engl. J. Med. 2015;372:793–5. - PMC - PubMed
    1. Marx V. The DNA of a nation. Nature. 2015;524:503–505. - PubMed
    1. Roberts JP. Million veterans sequenced. Nat. Biotechnol. 2013;31:470–470.
    1. Friend SH. App-enabled trial participation: Tectonic shift or tepid rumble? 7. Sci. Transl. Med. 2015:297ed10–297ed10. - PMC - PubMed
    1. Denny JC, et al. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinformatics. 2010;26:1205–10. - PMC - PubMed