Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2019 Aug;17(4):415-429.
doi: 10.1016/j.gpb.2018.10.007. Epub 2019 Nov 28.

Translational Informatics for Parkinson's Disease: from Big Biomedical Data to Small Actionable Alterations

Bairong Shen  1 , Yuxin Lin  2 , Cheng Bi  2 , Shengrong Zhou  2 , Zhongchen Bai  3 , Guangmin Zheng  3 , Jing Zhou  3
Affiliations
Review

Translational Informatics for Parkinson's Disease: from Big Biomedical Data to Small Actionable Alterations

Bairong Shen et al. Genomics Proteomics Bioinformatics. 2019 Aug.

Abstract

Parkinson's disease (PD) is a common neurological disease in elderly people, and its morbidity and mortality are increasing with the advent of global ageing. The traditional paradigm of moving from small data to big data in biomedical research is shifting toward big data-based identification of small actionable alterations. To highlight the use of big data for precision PD medicine, we review PD big data and informatics for the translation of basic PD research to clinical applications. We emphasize some key findings in clinically actionable changes, such as susceptibility genetic variations for PD risk population screening, biomarkers for the diagnosis and stratification of PD patients, risk factors for PD, and lifestyles for the prevention of PD. The challenges associated with the collection, storage, and modelling of diverse big data for PD precision medicine and healthcare are also summarized. Future perspectives on systems modelling and intelligent medicine for PD monitoring, diagnosis, treatment, and healthcare are discussed in the end.

Keywords: Disease biomarker; Healthcare; Parkinson's disease; Systems modelling; Translational informatics.

PubMed Disclaimer

Conflict of interest statement

The authors have declared no competing interests.

Figures

Figure 1
Figure 1
The 5 Vs of PD big data PD, Parkinson’s disease; EHR, electronic health record; EEG, electroencephalograph.
Figure 2
Figure 2
PD translational informatics: from big data to small alterations
Figure 3
Figure 3
Diverse data types and big data challenges
Figure 4
Figure 4
Big data model for precision prediction
Figure 5
Figure 5
From personalized data to systems healthcare of PD patients
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Hoyert D.L., Xu J. Deaths: preliminary data for 2011. Natl Vital Stat Rep. 2012;61:1–51. - PubMed
    1. Hawkes C.H., Del Tredici K., Braak H. A timeline for Parkinson's disease. Parkinsonism Relat Disord. 2010;16:79–84. - PubMed
    1. Abeliovich A., Rhinn H. Parkinson's disease: guilt by genetic association. Nature. 2016;533:40–41. - PubMed
    1. Sampson T.R., Debelius J.W., Thron T., Janssen S., Shastri G.G., Ilhan Z.E. Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson's disease. Cell. 2016;167 1469–80.e12. - PMC - PubMed
    1. Bellou V., Belbasis L., Tzoulaki I., Evangelou E., Ioannidis J.P. Environmental risk factors and Parkinson's disease: an umbrella review of meta-analyses. Parkinsonism Relat Disord. 2016;23:1–9. - PubMed

Publication types

MeSH terms

Substances