Multi-chip Meta-analysis of Parkinson's Disease for Clinical Validation of Small Samples of Key Genes in Disease
NCT03848455 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 238
Last updated 2023-07-28
Summary
The research team used meta-analytical statistical methods to integrate the results of different research groups on Parkinson's disease, using meta-analysis to find key genes related to the pathogenesis and development of Parkinson's disease, and to make small clinical results. The verification of the sample, the internal mechanism of the pathogenesis of Parkinson's disease and provide guidance and reference for subsequent experimental research.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
genetic diagnosis
The venous blood of the two groups of patients was taken for genetic testing, and the expression levels of PPP2CA, PPP3CB, SYNJ1, NSF and CYCS were extracted by pre-processing the genetic data of PD and non-PD patients.
Sponsors & Collaborators
-
Zhujiang Hospital
lead OTHER
Principal Investigators
-
Xiaoya Gao, doctor · Southern Medical University, China
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2019-02-25
- Primary Completion
- 2021-02-20
- Completion
- 2021-02-20
Countries
- China
Study Locations
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