Despite the increasing availability and advances in the analysis of high-throughput DNA sequencing, the majority of patients with early-onset or familial parkinsonism remain without a molecular diagnosis. Studying the genetic forms of parkinsonian syndromes presents numerous clinical, scientific and therapeutic interests. In clinical practice, identifying the genetic cause in a patient allow to provide genetic counseling and estimate the risk of recurrence in their relatives. Establishing correlations between the genotype and phenotype of patients with genetically determined parkinsonism, allow to better anticipate the evolution of the disease, or even to highlight biomarkers during the presymptomatic phases. Finally, the proteins encoded by the genes implicated in familial parkinsonism represent potential therapeutic targets likely to be modulated by neuroprotective pharmacological agents, even in sporadic Parkinson's disease. In this work,investigators aimed at elucidating the missing genetic causes of parkinsonism through the application of combined RNA and whole genome sequencing.
Investigators selected 14 patients with early-onset parkinsonism for whom no variant of certain pathogenicity had been identified after exome sequencing. Patients and their relatives will have a blood sample collection following the inclusion visit for DNA extraction, patients will receive a skin biopsy for fibroblast culture and RNA extraction for RNA sequencing. The genome sequencing will be performed on an Illumina® HiSeq4000 sequencer. Investigators will also perform skin biopsies on patients for fibroblast cultures in order to extract RNA for RNA sequencing. The choice of fibroblast analysis for the study of the transcriptome is justified by the fact that genes expressed in the brain likely to be associated with neurodegenerative diseases are more frequently expressed in the skin than in the other clinically accessible tissues such as blood. Skin biopsies will be performed by the referring clinicians, and RNA extraction will be carried out using the Quiagen® RNeasy kit. Transcriptome analysis by RNA sequencing including sequencing and bioinformatics processing of data, including detection of aberrant splicing (LeafCutter), aberrant expressions (DESeq) and identification of variants (GATK + Varank) will also be carried out Genome data will be integrated with data from RNA sequencing. Investigators plan to analyze all 14 patients according to this strategy.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
14
High-throughput DNA and RNA sequencing
Genetic diagnosis rate
To estimate the rate of genetic diagnoses obtained by genome sequencing coupled with RNA sequencing within a cohort of patients presenting with early onset or familial parkinsonian syndromes without molecular diagnosis.
Time frame: 18 months
Genes implicated
Estimate the proportion of patients carrying pathogenic or probably pathogenic variants in each of the genes identified in this work
Time frame: 18 months
Contribution of RNA sequencing
Estimate the proportion of pathogenic or probably pathogenic variants detected secondarily thanks to the contribution of RNA sequencing and not identified by analysis of the genome taken in isolation.
Time frame: 18 months
Genotype and Phenotype correlation
Estimate the proportion of patients presenting specific clinical, biological and imaging characteristics for each identified genetic cause (genotype/phenotype correlation).
Time frame: 18 months
New genetic causes
Describe new molecular mechanisms of parkinsonian syndromes.
Time frame: 18 months
Tolerance
Estimate the proportion of patients experiencing an adverse event related to the procedure.
Time frame: 18 months
New associated genes
Describe new genes associated with parkinsonian syndromes.
Time frame: 18 months
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