The project intends to assess the polygenic burden of rare disruptive mutations in Parkinson's disease (PD) and how they influence the phenotype/pathological heterogeneity of disease.
The investigators intend to extend the genetic analysis to a cohort of 300 PD cases and 300 healthy subjects (wife / husband of the patients) that will be recruited at Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Neuromed. After signed informed consent patients will be assessed for disease progression (Hoehn and Yahr stadium, Movement Disorder Society-Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS), Montreal Cognitive Assessment (MoCA) test, no motor symptoms, therapy and levodopa induced Dyskinesia (LID) occurrence). Each patient and control will be subjected to peripheral blood sampling for the isolation of DNA, RNA, plasma and serum. The investigators will use a disease-specific gene panel including about 100 genes related to Parkinson's Disease, autophagy and levodopa induced Dyskinesia (LID). Bioinformatics analysis will allow to catalog in a database the identified variants/mutations according to their frequency and characteristics. The investigators will specifically assess if the inheritance of multiple rare deleterious variants in Parkinson's Disease genes is predictive of disease risk. The presence of one or more variants will be tested for association with phenotypic manifestation of Parkinson's Disease (motor, non-motor, and cognitive signs, as well as age at onset, LID and neuroimaging changes) to assess the variant burden effect on progression, and prognosis of the disease.
Study Type
OBSERVATIONAL
Enrollment
600
The investigators will use a disease-specific gene panel including about 100 genes related to Parkinson's Disease, autophagy and levodopa induced Dyskinesia (LID).
IRCCS Neuromed
Pozzilli, Italy
RECRUITINGclinical evaluation of PD patients and controls
disease progression (Hoehn and Yahr stadium, MDS-UPDRS part III, MoCA test, no motor symptoms, therapy and LID occurrence
Time frame: three years
identification of variants/mutations
assessing if the inheritance of multiple rare deleterious variants in PD genes is predictive of PD risk.
Time frame: two years
association with phenotypic manifestation of PD
The presence of one or more variants will be tested for association with phenotypic manifestation of PD (motor, non-motor, and cognitive signs, as well as age at onset, LID and neuroimaging changes) to assess the variant burden effect on progression, and prognosis of the disease.
Time frame: three years
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