Single Nucleotide Polymorphisms’ Causal Structure Robustness within Coronary Artery Disease Patients
Author:
Ganopoulou Maria1, Moysiadis Theodoros2ORCID, Gounaris Anastasios1, Mittas Nikolaos3ORCID, Chatzopoulou Fani45ORCID, Chatzidimitriou Dimitrios4, Sianos Georgios6ORCID, Vizirianakis Ioannis S.78ORCID, Angelis Lefteris1
Affiliation:
1. School of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece 2. Department of Computer Science, School of Sciences and Engineering, University of Nicosia, Nicosia 2417, Cyprus 3. Department of Chemistry, International Hellenic University, 65404 Kavala, Greece 4. Laboratory of Microbiology, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece 5. Labnet Laboratories, 54638 Thessaloniki, Greece 6. First Department of Cardiology, AHEPA University General Hospital of Thessaloniki, 54124 Thessaloniki, Greece 7. Laboratory of Pharmacology, School of Pharmacy, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece 8. Department of Health Sciences, School of Life and Health Sciences, University of Nicosia, Nicosia 2417, Cyprus
Abstract
An ever-growing amount of accumulated data has materialized in several scientific fields, due to recent technological progress. New challenges emerge in exploiting these data and utilizing the valuable available information. Causal models are a powerful tool that can be employed towards this aim, by unveiling the structure of causal relationships between different variables. The causal structure may avail experts to better understand relationships, or even uncover new knowledge. Based on 963 patients with coronary artery disease, the robustness of the causal structure of single nucleotide polymorphisms was assessed, taking into account the value of the Syntax Score, an index that evaluates the complexity of the disease. The causal structure was investigated, both locally and globally, under different levels of intervention, reflected in the number of patients that were randomly excluded from the original datasets corresponding to two categories of the Syntax Score, zero and positive. It is shown that the causal structure of single nucleotide polymorphisms was more robust under milder interventions, whereas in the case of stronger interventions, the impact increased. The local causal structure around the Syntax Score was studied in the case of a positive Syntax Score, and it was found to be resilient, even when the intervention was strong. Consequently, employing causal models in this context may increase the understanding of the biological aspects of coronary artery disease.
Funder
Greece and the European Union IKY Scholarship Programme for PhD candidates in the Greek Universities»
Subject
General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology
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