An Integrative Bioinformatics Approach for Identification of Biomarkers in Myocardial Infarction

Myocardial infarction (MI) is one of the leading causes of mortality and morbidity worldwide. Although several markers are identified associated with MI, early diagnostic or predictive markers are yet to be identified. Using an integrative bioinformatics approach, here we have reported 18 key genes and mong which seven could be associated with early MI pathogenesis. Expression signature of these genes could serve early diagnosis of MI. The identified putative markers required experimental validation.