ReviewJournal of neural transmission (Vienna, Austria : 1996)2016
A53T in a parkinsonian family: a clinical update of the SNCA phenotypes.
Review in Journal of neural transmission (Vienna, Austria : 1996), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 37 citations in OpenAlex.
- Parkinson Disease Signaling Pathways, Molecular Mechanisms, and Potential Therapeutic Strategies: A Comprehensive Review.International journal of molecular sciences · 2025Review
- Review
- Resequencing the complete SNCA locus in Indian patients with Parkinson's disease.NPJ Parkinson's disease · 2024Article
- Motor deficits and brain pathology in the Parkinson's disease mouse model hA53Ttg.Frontiers in neuroscience · 2024Article
- Autophagy in Parkinson's Disease.Biomolecules · 2023Review
- Interaction Between the Glymphatic System and α-Synuclein in Parkinson's Disease.Molecular neurobiology · 2023Article
- Signaling pathways in Parkinson's disease: molecular mechanisms and therapeutic interventions.Signal transduction and targeted therapy · 2023Review
- α-Synuclein V15A Variant in Familial Parkinson's Disease Exhibits a Weaker Lipid-Binding Property.Movement disorders : official journal of the Movement Disorder Society · 2022Article
- Precision Medicine in Parkinson's Disease: From Genetic Risk Signals to Personalized Therapy.Brain sciences · 2022Review
- Precision medicine for Parkinson's disease: The subtyping challenge.Frontiers in aging neuroscience · 2022Article
- Clinical Manifestations and Molecular Backgrounds of Parkinson's Disease Regarding Genes Identified From Familial and Population Studies.Frontiers in neurology · 2022Review
- The Impact ofLife (Basel, Switzerland) · 2021Review
- Genotype-Phenotype Correlations in Monogenic Parkinson Disease: A Review on Clinical and Molecular Findings.Frontiers in neurology · 2021Review
- Profiling Non-motor Symptoms in Monogenic Parkinson's Disease.Frontiers in aging neuroscience · 2020Review
- Genetic and Phenotypic Basis of Autosomal Dominant Parkinson's Disease in a Large Multi-Center Cohort.Frontiers in neurology · 2020Article
- Cellular and Molecular Aspects of Parkinson Treatment: Future Therapeutic Perspectives.Molecular neurobiology · 2019Review
- The role of monogenic genes in idiopathic Parkinson's disease.Neurobiology of disease · 2019Review
- Current Progress of Mitochondrial Quality Control Pathways Underlying the Pathogenesis of Parkinson's Disease.Oxidative medicine and cellular longevity · 2019Review
- Blocking meningeal lymphatic drainage aggravates Parkinson's disease-like pathology in mice overexpressing mutated α-synuclein.Translational neurodegeneration · 2019Article
- Nonantioxidant Tetramethoxystilbene Abrogates α-Synuclein-Induced Yeast Cell Death but Not That Triggered by the Bax or βA4 Peptide.ACS omega · 2018Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Approximately 15 % of PD patients with Parkinson Disease (PD) have the familial type and 5-10 % of these are known to have monogenic forms with either an autosomal dominant or a recessive inheritance pattern. Here, we report on a family carrying the A53T SNCA mutation and we review SNCA mutation phenotypes by comparing point mutations within each other as well as with duplication and triplication.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.