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