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
. 2020 Feb;19(2):170-178.
doi: 10.1016/S1474-4422(19)30287-X. Epub 2019 Sep 11.

The genetic architecture of Parkinson's disease

Affiliations
Review

The genetic architecture of Parkinson's disease

Cornelis Blauwendraat et al. Lancet Neurol. 2020 Feb.

Abstract

Parkinson's disease is a complex neurodegenerative disorder for which both rare and common genetic variants contribute to disease risk, onset, and progression. Mutations in more than 20 genes have been associated with the disease, most of which are highly penetrant and often cause early onset or atypical symptoms. Although our understanding of the genetic basis of Parkinson's disease has advanced considerably, much remains to be done. Further disease-related common genetic variability remains to be identified and the work in identifying rare risk alleles has only just begun. To date, genome-wide association studies have identified 90 independent risk-associated variants. However, most of them have been identified in patients of European ancestry and we know relatively little of the genetics of Parkinson's disease in other populations. We have a limited understanding of the biological functions of the risk alleles that have been identified, although Parkinson's disease risk variants appear to be in close proximity to known Parkinson's disease genes and lysosomal-related genes. In the past decade, multiple efforts have been made to investigate the genetic architecture of Parkinson's disease, and emerging technologies, such as machine learning, single-cell RNA sequencing, and high-throughput screens, will improve our understanding of genetic risk.

PubMed Disclaimer

Figures

Figure 1:
Figure 1:. Timeline of genetic discoveries from GWASs for Parkinson’s disease
GWAS=genome-wide association study.
Figure 2:
Figure 2:
Schematic for genetics-driven drug discovery

Comment in

  • Medical education in movement disorders during the COVID-19 pandemic.
    Zuzuárregui JRP, Bledsoe IO, Brown EG, Dietiker CG, Galifianakis NB. Zuzuárregui JRP, et al. Parkinsonism Relat Disord. 2020 Aug;77:11-12. doi: 10.1016/j.parkreldis.2020.06.013. Epub 2020 Jun 15. Parkinsonism Relat Disord. 2020. PMID: 32570192 Free PMC article. No abstract available.

References

    1. Dorsey ER, Bloem BR. The Parkinson pandemic: a call to action. JAMA Neurol 2018; 75: 9–10. - PubMed
    1. Schrag A, Anastasiou Z, Ambler G, Noyce A, Walters K. Predicting diagnosis of Parkinson’s disease: a risk algorithm based on primary care presentations. Mov Disord 2019; 34: 480–86. - PMC - PubMed
    1. Noyce AJ, Lees AJ, Schrag AE. The prediagnostic phase of Parkinson’s disease. J Neurol Neurosurg Psychiatry 2016; 87: 871–78. - PMC - PubMed
    1. Guerreiro R, Ross OA, Kun-Rodrigues C, et al. Investigating the genetic architecture of dementia with Lewy bodies: a two-stage genome-wide association study. Lancet Neurol 2018; 17: 64–74. - PMC - PubMed
    1. Sailer A, Scholz SW, Nalls MA, et al. A genome-wide association study in multiple system atrophy. Neurology 2016; 87:1591–98. - PMC - PubMed