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

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

Abstract Background A multidirectional relationship has been demonstrated between myocardial infarction (MI) and depression. However, the causal genetic factors and molecular mechanisms underlying this interaction remain unclear. The main purpose of this study was to identify potential candidate gen...

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Bibliographic Details
Main Authors: Zhenguo Dai, Qian Li, Guang Yang, Yini Wang, Yang Liu, Zhilei Zheng, Yingfeng Tu, Shuang Yang, Bo Yu
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Medical Genetics
Subjects:
Myocardial infarction
Depression
BITOLA
Candidate genes
Text mining
Gene expression profiling
Online Access:http://link.springer.com/article/10.1186/s12881-019-0841-8

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