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.

  • Comment
  • Published:

Integrating behavioural health tracking in human genetics research

Internet-connected devices could transform our understanding of the causes of behavioural variation and its impact on health and disease, in particular for neuropsychiatric disorders.

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

Relevant articles

Open Access articles citing this article.

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

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

References

  1. Sullivan, P. F. et al. Psychiatric genomics: an update and an agenda. Am. J. Psychiatry 175, 15–27 (2018).

    Article  Google Scholar 

  2. Khera, A. V. & Kathiresan, S. Genetics of coronary artery disease: discovery, biology and clinical translation. Nat. Rev. Genet. 18, 331–344 (2017).

    Article  CAS  Google Scholar 

  3. Mohr, D. C., Zhang, M. & Schueller, S. M. Personal sensing: understanding mental health using ubiquitous sensors and machine learning. Annu. Rev. Clin. Psychol. 13, 23–47 (2017).

    Article  Google Scholar 

  4. Goodwin, F. K. & Jamison, K. R. Manic–Depressive Illness: Bipolar Disorders and Recurrent Depression 2nd edn (Oxford Univ. Press, 2007).

  5. Hong, W. et al. Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning. Proc. Natl Acad. Sci. USA 112, E5351–E5360 (2015).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank C. Douglas for manuscript assistance and acknowledge support from the Depression Grand Challenge and US National Institute of Mental Health grants U01 MH105578 and R01 MH113078 (N.B.F.) and R01 MH11610 (D.C.M.).

Author information

Authors and Affiliations

Authors

Contributions

The authors contributed equally to all aspects of this manuscript.

Corresponding author

Correspondence to Nelson B. Freimer.

Ethics declarations

Competing interests

The authors declare no competing interests.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Freimer, N.B., Mohr, D.C. Integrating behavioural health tracking in human genetics research. Nat Rev Genet 20, 129–130 (2019). https://doi.org/10.1038/s41576-018-0078-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41576-018-0078-y

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing