Key result
MIKB integrates 9,701 records of 2,054 single risk factors and 243 risk models from 4,817 articles, plus 1,782 multi-omics factors and 1,253 genes from 2,647 articles for myocardial infarction.
Why the study?
To integrate knowledge about myocardial infarction to improve the efficiency of translational research and provide a multi-omics level understanding of its molecular pathogenesis.
Answers are grounded in this paper and cite their sources.
MIKB provides an open-access, manually curated knowledge base integrating clinical risk models and multi-omics genetic factors to support translational research and precision medicine across heterogeneous myocardial infarction subtypes.
Myocardial infarction knowledge base (MIKB; http://www.sysbio.org.cn/mikb/; latest update: December 31, 2020) is an open-access and manually curated database dedicated to integrating knowledge about MI to improve the efficiency of translational MI research. MIKB is an updated and expanded version of our previous MI Risk Knowledge Base (MIRKB), which integrated MI-related risk factors and risk models for providing help in risk assessment or diagnostic prediction of MI. The updated MIRKB includes 9701 records with 2054 single factors, 209 combined factors, 243 risk models, 37 MI subtypes and 3406 interactions between single factors and MIs collected from 4817 research articles. The expanded functional module, i.e. MIGD, is a database including not only MI associated genetic variants, but also the other multi-omics factors and the annotations for their functional alterations. The goal of MIGD is to provide a multi-omics level understanding of the molecular pathogenesis of MI. MIGD includes 1782 omics factors, 28 MI subtypes and 2347 omics factor-MI interactions as well as 1253 genes and 6 chromosomal alterations collected from 2647 research articles. The functions of MI associated genes and their interaction with drugs were analyzed. MIKB will be continuously updated and optimized to provide precision and comprehensive knowledge for the study of heterogeneous and personalized MI.
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Zhan et al. (2021) studied Myocardial infarction. Myocardial Infarction Knowledge Base (MIKB) was evaluated on Database curation and multi-omics integration of myocardial infarction factors and genes. MIKB integrates 9,701 records of 2,054 single risk factors and 243 risk models from 4,817 articles, plus 1,782 multi-omics factors and 1,253 genes from 2,647 articles for myocardial infarction.
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