Multiomics Analysis Coupled with Text Mining Identify Novel Biomarker Candidates for Recurrent Cardiovascular Events
| Autor: | Barbara Jenko Bizjan, Anne John, Kalliopi Smaili, Tanja Blagus, George P. Patrinos, George N. Hahalis, Vita Dolzan, Bassam R. Ali, Ariadni Menti, Theodora Katsila, George Leventopoulos, Constantina Chalikiopoulou, John Liopetas |
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| Rok vydání: | 2020 |
| Předmět: |
Proteomics
0301 basic medicine endocrine system Coronary Disease Genomics Computational biology medicine.disease_cause Polymorphism Single Nucleotide Biochemistry 03 medical and health sciences 0302 clinical medicine Text mining Recurrence Atrial Fibrillation Heredity Genetics Data Mining Humans Medicine Genetic Predisposition to Disease Precision Medicine Molecular Biology Heart Failure business.industry Gene Expression Profiling Atherosclerosis Human genetics Lipoproteins LDL MicroRNAs Cross-Sectional Studies Early Diagnosis 030104 developmental biology Gene Expression Regulation 030220 oncology & carcinogenesis Tachycardia Ventricular Molecular Medicine Biomarker (medicine) Personalized medicine business Biomarkers Biotechnology |
| Zdroj: | OMICS: A Journal of Integrative Biology. 24:205-215 |
| ISSN: | 1557-8100 |
| DOI: | 10.1089/omi.2019.0216 |
| Popis: | Recurrent cardiovascular events remain an enigma that accounts for30% of deaths worldwide. While heredity and human genetics variation play a key role, host-environment interactions offer a sound conceptual framework to dissect the molecular basis of recurrent cardiovascular events from genes and proteins to metabolites, thus accounting for environmental contributions as well. We report here a multiomics systems science approach so as to map interindividual variability in susceptibility to recurrent cardiovascular events. First, we performed data and text mining through a mixed-methods content analysis to select genomic variants, 10 single nucleotide polymorphisms, and microRNAs (miR-10a, miR-21, and miR-20a), minimizing bias in candidate marker selection. Next, we validated our |
| Databáze: | OpenAIRE |
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