|Support type:||Scholarships in Brazil - Doctorate|
|Effective date (Start):||May 01, 2016|
|Effective date (End):||December 31, 2020|
|Field of knowledge:||Health Sciences - Medicine - Medical Clinics|
|Principal Investigator:||Iscia Teresinha Lopes Cendes|
|Home Institution:||Faculdade de Ciências Médicas (FCM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil|
|Associated research grant:||13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology, AP.CEPID|
Stroke is a heterogeneous and multifactorial disease, which is responsible for the blockage of blood flow through brain. It is the third most common cause of death or disability in worldwide. The main risk factors related to stroke only explain 60% of the cases, what suggest that genetic factors might be related to these events. The nest generation sequencing (NGS) allows the identification of genetic variants and gene expression patterns associated to disease. With these techniques, it's possible evaluate genetic variants already identified at literature, new variants associated to some disease, the presence of rare variants as genetic predisposition factor, expression patterns of coding and non coding RNAs (ncRNA), which have relevant role at controlling gene expression. The present project has the main purpose identify genetic factors predisposing to stroke using NGS techniques. Specifically, we propose to identify i) genomic rare variants and ii) pattern of ncRNAs expression, mainly microRNAs, at a cohort of stroke patients. We also intend to evaluate if some clinical and neuroimaging parameters are related to genetic variants or to microRNAs expression patterns identified at our study. The patients will be collected at "Hospital das Clínicas" from UNICAMP. The samples will be collected at 3 times: Acute phase of event (inside first 12 hours from stroke), 72 hours after acute event and during outpatient visits (recovery phase). These periods are important to determine changes at plasmatic microRNA levels, which can identify prognostic factors at patients' recovery.