SCIENTIFIC HUB

Follow the evidence.

SCIENTIFIC LITERATURE · MED

Extended Study of <i>NUS1</i> Gene Variants in Parkinson's Disease.

Front Neurol · 2020-10-27

DOI: 10.3389/fneur.2020.583182PMID: 33193043

Open accessbrief-report; Journal ArticleOriginal source ↗

Research overview

The text below is the source article’s original abstract under a verified reuse license. cc by

Parkinson's disease (PD), is the second most common neurodegenerative disorder worldwide. Genetic, environmental factors, and aging are its primary development contributors. Recently the nuclear undecaprenyl pyrophosphate synthase 1 homolog (Saccharomyces cerevisiae) gene (NUS1) was reported as a candidate gene for PD, which raised our interest in the relationship between NUS1 and PD. This study was aimed to further explore the role of NUS1 variants in PD development. Genetic analysis for 308 Han-Chinese PD patients and 308 ethnically matched controls using whole exome sequencing was conducted. Additionally, a total of 60 articles involving in whole exome/whole genome sequencing or direct sequencing of the NUS1 gene from PubMed database between July 1, 2011 and August 26, 2020 were reviewed to evaluate PD-associated NUS1 variants. No potentially pathogenic NUS1 variant was found in 308 PD cases, and no frequency biases between 308 PD cases and 308 controls were observed for the only non-synonymous variant p.Asp179Glu (genotype: χ2 = 0.093, P = 0.761; allele: χ2 = 0.092, P = 0.762). No pathogenic or disease-associated NUS1 variant was reported in the 5,636 PD cases of the 60 articles. In summary, current findings indicate that NUS1 variant is not a common genetic factor contributing to PD.

Scientific assessment

01

Research question

Assess the question within the original study’s scope.

02

Methods & sample

Check the source article for study design and sample details.

03

Key findings

An editorially approved findings summary is not yet published for this record.

04

Limitations

Generalizability, bias and clinical meaning require separate assessment.

Methods, samples and clinical conclusions are not inferred from bibliographic metadata.