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α-Synuclein Genetic Variants Predict Faster Motor Symptom Progression in Idiopathic Parkinson Disease

Overview of attention for article published in PLOS ONE, May 2012
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Title
α-Synuclein Genetic Variants Predict Faster Motor Symptom Progression in Idiopathic Parkinson Disease
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036199
Pubmed ID
Authors

Beate Ritz, Shannon L. Rhodes, Yvette Bordelon, Jeff Bronstein

Abstract

Currently, there are no reported genetic predictors of motor symptom progression in Parkinson's disease (PD). In familial PD, disease severity is associated with higher α-synuclein (SNCA) expression levels, and in postmortem studies expression varies with SNCA genetic variants. Furthermore, SNCA is a well-known risk factor for PD occurrence. We recruited Parkinson's patients from the communities of three central California counties to investigate the influence of SNCA genetic variants on motor symptom progression in idiopathic PD. We repeatedly assessed this cohort of patients over an average of 5.1 years for motor symptom changes employing the Unified Parkinson's Disease Rating Scale (UPDRS). Of 363 population-based incident PD cases diagnosed less than 3 years from baseline assessment, 242 cases were successfully re-contacted and 233 were re-examined at least once. Of subjects lost to follow-up, 69% were due to death. Adjusting for covariates, risk of faster decline of motor function as measured by annual increase in motor UPDRS exam score was increased 4-fold in carriers of the REP1 263bp promoter variant (OR 4.03, 95%CI:1.57-10.4). Our data also suggest a contribution to increased risk by the G-allele for rs356165 (OR 1.66; 95%CI:0.96-2.88), and we observed a strong trend across categories when both genetic variants were considered (p for trend = 0.002). Our population-based study has demonstrated that SNCA variants are strong predictors of faster motor decline in idiopathic PD. SNCA may be a promising target for therapies and may help identify patients who will benefit most from early interventions. This is the first study to link SNCA to motor symptom decline in a longitudinal progression study.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 19%
Student > Ph. D. Student 10 16%
Student > Master 7 11%
Student > Doctoral Student 6 10%
Student > Bachelor 4 6%
Other 10 16%
Unknown 14 22%
Readers by discipline Count As %
Medicine and Dentistry 16 25%
Agricultural and Biological Sciences 10 16%
Biochemistry, Genetics and Molecular Biology 8 13%
Neuroscience 8 13%
Engineering 2 3%
Other 3 5%
Unknown 16 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 June 2012.
All research outputs
#14,144,226
of 22,665,794 outputs
Outputs from PLOS ONE
#115,543
of 193,511 outputs
Outputs of similar age
#96,162
of 163,696 outputs
Outputs of similar age from PLOS ONE
#2,180
of 3,849 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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