Abstract

The aim of this study is taking coronary heart disease (CHD) angina pectoris (AP) as an example to approach the manipulation and application of GenCLip, gene mining software in searching disease-syndrome related genes. According to results from CIPHER, a prediction software, 100 genes were predicted based on the similarity of the characterization of CHD. GenCLiP gene mining software was applied to find the disease-syndrome related genes of CHD AP with qi deficiency and qi stagnation. There are 9 genes, ANG, APOA1, MEF2A, PPP1R12C, SREBF1, TCAP, TNNI3, TNNT2, and TPM1 related to both qi deficiency and qi stagnation syndromes of CHD angina pectoris. 7 genes (AST, ELN, FCN1, MYLK, MYLK2, MYOG, and PRTN3) are specifically related to qi deficiency syndrome, while 4 (IL32, PAM, TNFSF8, and TNNC1) are specifically related to qi stagnation syndrome. The study concluded that application of GenCLiP gene-mining software to explore the disease-syndrome related genes is an effective, rapid and feasible method, which has certain reference value in the study of the biological basis of traditional Chinese medicine (TCM) syndrome and can be extended to the identification of the syndrome related genes in other diseases.

Key words: Coronary heart disease angina pectoris, Qi deficiency, Qi stagnation, disease-syndrome related genes, GenCLiP.