Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Correspondence
  • Published:

Reply to "Precision medicine in the clouds"

Nature Biotechnology volume 36, pages 680–682 (2018)Cite this article

Subjects

Price et al. reply:

The Pioneer 100 Wellness Project (P100)1 was the first example of generating personal, dense, dynamic data clouds across a population, following in the footsteps of several other groundbreaking efforts on single individuals2,3,4. We developed the logistical and technological framework to collect and analyze longitudinal health data combined with genetic data. We analyzed the data clouds to generate an initial multi-omic correlation network across all these domains (genome, proteome, metabolome, microbiome, clinical laboratory and lifestyle data), extract communities of related analytes associated with physiology and disease, and identify molecular correlates of polygenic risk. We also curated actionable information from these data sets and developed coaching strategies to communicate personalized information to individuals, helping to improve clinical blood biomarkers in our cohort and observe disease-to-wellness transitions as the quality of individuals' health improved.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

References

  1. Price, N.D. et al. Nat. Biotechnol. 35, 747–756 (2017).

    Article  CAS  Google Scholar 

  2. Chen, R. et al. Cell 148, 1293–1307 (2012).

    Article  CAS  Google Scholar 

  3. David, L.A. et al. Genome Biol. 15, R89 (2014).

    Article  Google Scholar 

  4. Smarr, L. Biotechnol. J. 7, 980–991 (2012).

    Article  CAS  Google Scholar 

  5. Vogt, H., Green, S. & Broderson, J. Nat. Biotechnol. 36, 678–680 (2018).

    Article  CAS  Google Scholar 

  6. Collins, F.S. & Varmus, H. N. Engl. J. Med. 372, 793–795 (2015).

    Article  CAS  Google Scholar 

  7. Hood, L., Lovejoy, J.C. & Price, N.D. BMC Med. 13, 4 (2015).

    Article  Google Scholar 

  8. Schork, N.J. Nature 520, 609–611 (2015).

    Article  CAS  Google Scholar 

  9. Jørgensen, T. et al. Br. Med. J. 348, g3617 (2014).

    Article  Google Scholar 

  10. Rice, T. et al. Circulation 105, 1904–1908 (2002).

    Article  CAS  Google Scholar 

  11. Bouchard, C. et al. PLoS One 7, e37887 (2012).

    Article  CAS  Google Scholar 

  12. Diabetes Prevention Program Research Group. Lancet 374, 1677–1686 (2009).

  13. Li, G. et al. Lancet 371, 1783–1789 (2008).

    Article  Google Scholar 

  14. American Diabetes Association. Diabetes Care 37 (Suppl. 1), S81–S90 (2014).

  15. Menke, A., Casagrande, S., Geiss, L. & Cowie, C.C. J. Am. Med. Assoc. 314, 1021–1029 (2015).

    Article  CAS  Google Scholar 

  16. Zhang, X. et al. Diabetes Care 33, 1665–1673 (2010).

    Article  CAS  Google Scholar 

  17. Holick, M.F. et al. J. Clin. Endocrinol. Metab. 97, 1153–1158 (2012).

    Article  CAS  Google Scholar 

  18. Danaei, G. et al. PLoS Med. 6, e1000058 (2009).

    Article  Google Scholar 

  19. Green, R.C. et al. N. Engl. J. Med. 361, 245–254 (2009).

    Article  CAS  Google Scholar 

  20. Yong, P.L., Sanders, R.S. & Olsen, L. The Healthcare Imperative: Lowering Costs and Improving Outcomes: Workshop Series Summary. (US National Academies Press, Washington, DC, 2010).

    Google Scholar 

  21. Xu, X. et al. Int. J. Obes (Lond). 42, 794–800 (2018).

    Article  CAS  Google Scholar 

  22. Hollands, G.J. et al. Br. Med. J. 352, i1102 (2016).

    Article  Google Scholar 

  23. Piening, B.D. et al. Cell Syst. 6, 157–170.e8 (2018).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Arivale, Seattle, Washington, USA

    Andrew T Magis, Jennifer C Lovejoy, Nathan D Price & Leroy Hood

  2. Institute for Systems Biology, Seattle, Washington, USA

    John C Earls, Gustavo Glusman, Jennifer C Lovejoy, Nathan D Price & Leroy Hood

  3. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA

    Gilbert S Omenn

  4. Providence St. Joseph Health, Seattle, Washington, USA

    Leroy Hood

Authors
  1. Andrew T Magis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. John C Earls
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gustavo Glusman
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gilbert S Omenn
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jennifer C Lovejoy
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Nathan D Price
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Leroy Hood
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Nathan D Price or Leroy Hood.

Ethics declarations

Competing interests

L.H. and N.D.P. are cofounders of Arivale and hold stock in the company. N.D.P. is on the Arivale Board of Directors; L.H. is chair and G.S.O. a member of Arivale's Scientific Advisory Board. A.T.M. and J.C.L. are employees of Arivale and have stock options in the company, as do J.C.E., G.G. and G.S.O.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Magis, A., Earls, J., Glusman, G. et al. Reply to "Precision medicine in the clouds". Nat Biotechnol 36, 680–682 (2018). https://doi.org/10.1038/nbt.4211

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nbt.4211

This article is cited by

Search

Advanced search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research