Neurovascular Disease Prediction methods using clinical and genetic Risk score in Korean and method for suggesting diagnosis related to Coronary Disease

摘要

The present invention relates to a method for predicting the probability of developing cerebrovascular disease by integrating clinical information and genetic mutation information of Koreans, and more specifically, using a disease prediction model constructed by integrating SNP marker mutation information and clinical information It relates to a method for predicting the probability of developing cerebrovascular disease at a specific point in time and recommending a related test. The method for predicting the incidence of cerebrovascular disease according to the present invention predicts the probability of occurrence of cerebrovascular disease by integrating not only Korean-specific genetic information but also individual clinical information to predict the incidence of cerebrovascular disease. It is useful for early diagnosis and predictive prevention.