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The GEnetic Syntax Score: a genetic risk assessment implementation tool grading the complexity of coronary artery disease-rationale and design of the GESS study.

Ioannis S VizirianakisFani ChatzopoulouAndreas S PapazoglouEfstratios KaragiannidisGeorgios SofidisNikolaos StalikasChristos StefopoulosKonstantinos A KyritsisNikolaos MittasNikoleta F TheodoroulaAggeliki LampriEleni MezarliAnastasios KartasDimitrios ChatzidimitriouAnna Papa-KonidariEleftherios AngelisΗaralambos KarvounisGeorgios Sianos
Published in: BMC cardiovascular disorders (2021)
A group of 228 SNPs was identified through bioinformatic and pharmacogenomic analysis to be involved in CAD through a wide range of pathways and was correlated with various laboratory and clinical parameters, along with the patients' response to clopidogrel and statin therapy. The annotation of these SNPs revealed 127 genes being affected by the presence of one or more SNPs. The first patient was enrolled in the study in February 2019 and enrollment is expected to be completed until June 2021. Hence, GESS is the first trial to date aspiring to develop a novel risk prediction algorithm, the GEnetic Syntax Score, able to identify patients at high risk for complex CAD based on their molecular signature profile and ultimately promote pharmacogenomics and precision medicine in routine clinical settings. Trial registration GESS trial registration: ClinicalTrials.gov Number: NCT03150680. Registered 12 May 2017- Prospectively registered, https://clinicaltrials.gov/ct2/show/NCT03150680 .
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