Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Development of a Risk Prediction Algorithm Through the Investigation of Genetic Risk Factors and the Complexity of Coronary Artery Disease to Estimate Future Risk of Cardiovascular Events: Angiographic (SYNTAX Score), Clinical and Pharmacogenetic Analysis.

AHEPA University Hospital · 2017
ClinicalTrials.gov · Datasets · License: Public Domain · 2017
Open Source ↗
coronary-artery-diseasegeneticspharmacogeneticsprecision-medicine
The purpose of the research project is to investigate the potential association of 207 genetic polymorphisms with the complexity and the severity of coronary artery disease (SYNTAX score), along with the patients' response to clopidogrel and statin therapy. The aim of the study is to combine genetic, pharmacogenetic, clinical and laboratory data in order to create an algorithm (GEnetic Syntax Score-GESS) that will enable an individualized therapeutic patient approach.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1198286
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive