Using literature-based discovery to identify candidate genes for the interaction between myocardial infarction and depression

• DOI: 10.1186/s12881-019-0841-8
• Publication Date: 2019-06-11T13:03:42Z
• Authors: Zhenguo Dai; Qian Li; Guang Yang; Yini Wang; Yang Liu; Zhilei Zheng; Yingfeng Tu; Shuang Yang; Bo Yu
• Keywords: Human genetics; Depression; Candidate gene; Genome Biology

A multidirectional relationship has been demonstrated between myocardial infarction (MI) and depression. However, the causal genetic factors molecular mechanisms underlying this interaction remain unclear. The main purpose of study was to identify potential candidate genes for two diseases. Using a bioinformatics approach existing gene expression data in biomedical discovery support system (BITOLA), we defined starting concept X as "Myocardial Infarction" end Z "Major Depressive Disorder" or "Depressive disorder". All intermediate concepts relevant "Gene Gene Product" MI depression were searched. tissue-specific evaluated using Human eFP (electronic Fluorescent Pictograph) Browser, filtered by manual inspection. Our analysis identified 128 common both "MI" "depression" text mining concepts. Twenty-three selected intermediates study, 9 which passed filtering step. Among genes, LCAT, CD4, SERPINA1, IL6, PPBP failed pass follow-up filter due their low levels heart tissue. Finally, four (GNB3, CNR1, MTHFR, NCAM1) remained. GNB3, NCAM1 are putative new that may influence interactions depression, represent targets therapeutic intervention.