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Analysis of Single Nucleotide Polymorphisms of STK32B, PPARGC1A and CTNNA3 Gene With Sporadic Parkinson's Disease Susceptibility in Chinese Han Population

Overview of attention for article published in Frontiers in Neurology, May 2018
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Title
Analysis of Single Nucleotide Polymorphisms of STK32B, PPARGC1A and CTNNA3 Gene With Sporadic Parkinson's Disease Susceptibility in Chinese Han Population
Published in
Frontiers in Neurology, May 2018
DOI 10.3389/fneur.2018.00387
Pubmed ID
Authors

Chang-he Shi, Yuan Cheng, Mi-bo Tang, Yu-tao Liu, Zhi-hua Yang, Fang Li, Yu Fan, Jing Yang, Yu-ming Xu

Abstract

Recently, five novel single nucleotide polymorphisms (SNPs), rs10937625 in STK32B (serine/threonine kinase 32B), rs17590046 in PPARGC1A (peroxisome proliferator-activated receptor gamma coactivator 1-alpha), and rs12764057, rs10822974, and rs7903491 in CTNNA3 (catenin alpha 3), were found to be associated with increased risk of essential tremor (ET) in a genome-wide association study (GWAS)in individuals of Caucasian ancestry. Considering the overlap between ET and Parkinson's disease (PD) in pathological features and clinical manifestations, a case-control study comprising 546 PD patients and 550 control subjects was carried out to examine whether the same variants were also associated with PD in Chinese Han population. However, the above variants did not show an association with PD. Our results suggested that these variants do not play a major role in PD in the Chinese population, Actually, the clinical overlap between PD and ET is under debate. In our Chinese Han cohort, we did not verify potential genetic pleiotropy between two diseases, which may indicated that etiology and pathobiology of PD and ET are distinct. Thus, a more comprehensive study such as a multi-center study may be helpful to evaluate the relationship between the five new susceptible loci and PD in Chinese Han population in the future.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 15%
Other 2 10%
Student > Bachelor 2 10%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Other 4 20%
Unknown 6 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Medicine and Dentistry 3 15%
Neuroscience 2 10%
Unspecified 1 5%
Computer Science 1 5%
Other 3 15%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 June 2018.
All research outputs
#18,633,675
of 23,083,773 outputs
Outputs from Frontiers in Neurology
#7,897
of 11,993 outputs
Outputs of similar age
#255,884
of 331,095 outputs
Outputs of similar age from Frontiers in Neurology
#204
of 308 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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