Design regulatory interaction network for anxiety disorders using R: A bioinformatics approach

Bio-informatics research fields are progressively growing enriched with the incremental use of R tools. Anxiety Disorders can be defined as one of the most common mental disorders. They are tangible psychiatric disorders or a group of mental illnesses thought to be caused by either genetic vulnerability or environmental susceptibility factors. Several studies have revealed that anxiety is associated with an increased risk of Angina, Asthma, Diabetes, Heart Attack and High Blood Pressure. Thus, these five anxiety disorders must have some genetic association among them. Finding the genetic relationship among the above diseases will help to understand the gene linkage and connection association among them which leads to the way to common drug design. Here, after investigating the genetic association of Angina, Asthma, Diabetes, Heart Attack and High Blood Pressure a Regulatory Interaction Network is designed using R. The investigated diseases genes are collected, preprocessed, processed, mined and optimized using R. This research aimed to create a new dimension in the field of drug design.