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Cited by 192

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Genetics of Parkinsonʼs disease

Gasser, Thomas·2005·Current Opinion in Neurology

Abstract

PURPOSE OF REVIEW: Parkinson's disease is the second most common neurodegenerative disorder and affects 2% of the population over the age of 60 years. Due to the increasing proportion of elderly individuals in developed countries, Parkinson's disease and related neurodegenerative disorders represent a growing burden on the health care system. In the majority of cases, the cause of the disease is still unknown, and its elucidation remains one of the major challenges of the neurosciences. Recent findings in rare genetic forms of Parkinson's disease have allowed the development of novel animal models, providing a basis for a better understanding of the molecular pathogenesis of the disease, setting the stage for the development of novel treatment strategies. RECENT FINDINGS: Several novel genes for monogenic forms of Parkinson's disease, such as PINK-1 for an autosomal-recessive early-onset variant, and LRRK2 for a relatively common late-onset autosomal-dominant form have recently been discovered, and several novel animal models have been generated on the basis of genes that had been found earlier. SUMMARY: The combination of genetic, pathologic and molecular findings provide increasing evidence that the pathways identified through the cloning of different disease genes are interacting on different levels and share several major pathogenic mechanisms.

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Metadata

Authors
Gasser, T.
Venue
Current Opinion in Neurology
Published
2005-08
Volume
18
Issue
4
Pages
363-369
ISSN
1350-7540 (ISSN-L)
OpenAlex
W1593340312
Cited by
192
References
6
FWCI
20.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genetics of Parkinsonʼs disease. https://app.cochat.ai/papers/10.1097/01.wco.0000170951.08924.3d
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Gasser, T. (2005). Genetics of Parkinsonʼs disease. Current Opinion in Neurology. https://doi.org/10.1097/01.wco.0000170951.08924.3d

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.