ClinicalTrials.gov
public full text
Public Domain
Diabetes Genome Project: A Prospective Registry to Identify Genetic Variation Among Diabetic Patients
Previous scientific research has found multiple genes that affect the risk for developing heart disease or complications during the treatment of heart disease. Less is currently known about how patients with heart disease may differ on the basis of other ailments they may have and how these other ailments may affect their treatment and prognosis. For this reason, researchers at the Mid America Heart Institute are conducting this research to find out how genes affect heart disease and recovery following angioplasty. The study will include patients with diabetes in order to determine if their genes are different from patients without diabetes. A total of 1,607 patients were enrolled. There were 2 groups of patients selected for this study. The first group of patients included into the study will be those that are scheduled to have a diagnostic angiogram only. The second group of patients were those that had along with the angiogram a percutaneous transluminal coronary angioplasty, PTCA and or the use of a device called a coronary "stent", designed to help prop open the artery and to help avoid collapse. Samples for both groups will be stored for 30 years. After this time, all samples will be destroyed. Ultimately, we are hopeful that we will identify genes that will identify groups of patients at risk for heart disease.
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
- Vascular Dysfunction in Diabetes: Genes and Hormones#1044709
- Understanding the Genetic and Hereditary Basis of Atherosclerosis#1213395
- TODAY Genetics Study#966301
- New Technologies for Intensive Prevention Programs - NET-IPP#1283167
- CHOlesterol Lowering and Residual Risk in Type 2 Diabetes#876027
Record · ID 1283238
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive