Recruitment Status
Estimated Enrollment


Coronary Heart Disease (CHD)
Observational Model: Case-ControlTime Perspective: Prospective

Participation Requirements

Between 18 years and 125 years
Both males and females


INTRODUCTION: Prediction of Coronary heart disease (CHD) events is based on conventional risk factors for atherosclerosis such as age, sex, blood pressure, diabetes, lipid levels, and smoking status. Because these risk factors are prevalent in much of the population, available risk prediction algori...

INTRODUCTION: Prediction of Coronary heart disease (CHD) events is based on conventional risk factors for atherosclerosis such as age, sex, blood pressure, diabetes, lipid levels, and smoking status. Because these risk factors are prevalent in much of the population, available risk prediction algorithms lack desired sensitivity and specificity. For instance, Cooper et al showed that the algorithms correctly predicted just ~11% of the CHD events occurring within 10 years. Thus, there is an urgent need to develop and validate new biomarkers for early detection of disease and more accurate risk stratification. According to the World Health Organization (WHO) estimates, cardiovascular disease will be the leading cause of morbidity and mortality by the year 2020. Developing countries including the Gulf States will be the major contributors to this increased death and disability. A recent report by McKinsey & Company forecast that the Gulf region will face an unparalleled and unprecedented rise in demand for health care over the course of the next two decades, with an estimated total health care spending of US$ 60 billion in 2025, up from US$ 12 billion today. Knowledge of novel genetic and proteomic markers will provide more precise estimates of risk while defining the pathways important in individual patients, revealing new targets for intervention, and ultimately enabling an individualized approach to care. A biorepository of Deoxyribonucleic acid (DNA), serum, and plasma samples will enable investigation of the pathogenesis of CHD in Qatari adults, and provide an invaluable resource for preventive cardiovascular research and development of biomarkers for early detection of CHD. SIGNIFICANCE Significant recent progress has been made in identifying genetic susceptibility variants as well as circulating proteomic markers of atherosclerotic vascular disease. However, the generalizability of these results to patients belonging to diverse ethnic groups is unclear. To translate recent advances in genomics and proteomics into clinical practice, these newly discovered biomarkers will need to be evaluated in patients of diverse ethnic groups with varying characteristics, environmental factors, and medication use. The investigators propose to establish a biorepository of plasma and DNA linked to demographic and clinical variables to facilitate biomarker studies of CHD risk, progression, and outcome. The overarching goal in developing the Qatar Cardiovascular Biorepository (QCBio) is to create a resource that fosters research aimed at identifying novel biochemical and genetic markers of CHD. RESEARCH DESIGN AND METHODS: The investigators are leveraging the following resources available for this proposal: The infrastructure and patient referral patterns of the cardiac catheterization laboratory at Hamad Hospital, Doha, Qatar, where several thousand patients are seen annually for coronary angiography and percutaneous coronary intervention; The Electronic Medical Record (EMR) at Hamad Hospital that includes risk factors, drug therapy, relevant laboratory data, and vital status; and A multidisciplinary investigative team with significant experience and expertise in biorepository science, including ethical, legal, and social implications (ELSI), laboratory information management systems, informatics, and mining of the EMR to annotate biospecimen with relevant clinical covariates. SPECIFIC AIMS AND OBJECTIVES: Establish a DNA and plasma biorepository (QCBio) of Qatari CHD cases and ethnicity-matched controls to enable investigation of genomic and proteomic biomarkers for early detection and prognostication as well as identification of new targets for drug development. Annotate the biorepository with a) demographic, laboratory, and clinical variables derived from the EMR using electronic phenotyping algorithms, and b) detailed information regarding history of cardiovascular diseases and risk factors derived from surveys of the study subjects. Develop processes to promote use of the biorepository by Qatari investigators by facilitating access to the biorepository for biomarker research, while maintaining the highest ethical standards with emphasis on patient confidentiality and stewardship of the biospecimens. Tracking Recruitment: A Patient Numbering Program (PNP) is being used to de-identify subjects enrolled in the study and track patient recruitment. The program contains demographic information and an assigned Personal Identification Number (PIN) for each participant. Consenting: Potential subjects are being identified by the study coordinators after review of catheterization laboratory (Cath lab) and blood bank schedules. The study coordinator is explaining the consent form and the study questionnaire to each participant. Wherever possible, the investigators are attempting to collect blood specimens in the fasting state before the receipt of any treatment and avoid the burden of additional venipuncture. For those eligible ones, the study coordinator will provide the details regarding the objectives of the study, risks and potential benefits from participation, the storage, future use and privacy of the samples. In addition, the study coordinator is informing the participants about the lack of immediate benefit for health and their right to withdrawal from the study any time after consenting. Collection and Processing of Blood Samples: Twenty-five milliliter of blood is being obtained at the time of a procedure in the Cath lab, during admission in the Coronary care unit (CCU) or at the time of the blood donation. Samples are collected from the special study area close to the Cath Lab/CCU and the Blood Bank, respectively. Blood is being drawn into the appropriate collection tubes, labeled with a hospital generated barcode Identification number, and sent to the Molecular Genetics laboratory. Freezer Monitoring: All freezer temperatures are being monitored round the clock by a combination of project management facilities and Hamad Medical Corporation (HMC) Security. Quality Assurance: Accurate sample handling is being achieved by adherence to Standard Operating Procedures (SOPs) by following general laboratory quality assurance and control standards. Specimen Tracking: Sample tracking will be accomplished by a Laboratory Information Management System (LIMS) program that is currently being used by the Lead PI's research group. Patient Confidentiality: The investigators will use informatics and data security features to maintain patient confidentiality. The Patient Numbering Program (PNP) will be used to de-identify patients enrolled in QCBio and to track patients after recruitment. Ethical, Legal, and Regulatory Issues in DNA Biorepositories: The consent form is including separate check-off boxes to seek permission for the collection of plasma and DNA use in studies of diverse diseases, and the transmittal of specimens to collaborating investigators. Banking of biospecimens raises new concerns regarding a patient's privacy and consent. Informatics: Informatics and data security are critical components to a biorepository and key to leveraging the power of biorepositories. QCBio will be linked to several databases. Study Questionnaire: The investigators are using a questionnaire to collect information regarding sociodemographic information, cardiovascular history, physical activity, lifestyle, past medical information and family history. Data will be extracted from the questionnaire by scanning or manual entry. Annotation of Specimens with Clinical Data: The investigators are using the Hamad hospital EMR viewer in addition to the laboratory databases to annotate the biorepository with relevant clinical variables. Ascertaining Risk Factors: The investigators are ascertaining conventional cardiovascular risk factors, including hypertension, diabetes, and dyslipidemia. The EMR and survey data will be used to establish presence of the following risk factors for atherosclerosis: smoking, diabetes, hypertension, dyslipidemia, and obesity. The investigators are using targeted manual review of paper records and EMR in tandem with access to electronic data sets for laboratory values, medications, and diagnosis codes. Biospecimen Management and Access to Biorepository: The investigators will develop protocols to enable investigators to leverage the datasets associated with specimens, ensure compliance with regulatory guidelines, encourage collaboration between Qatar, Gulf, and Mayo investigators, and improve research productivity. The investigators will provide a flexible, robust, secure, and validated information management workspace program to manage biospecimens. Banked specimens will be available for researchers whose protocols have been approved by the IRB and prioritized by the Scientific Review Panel. Tracking Specimen Use: To maximize the use of the biospecimens, the investigator will use LIMS to track all the specimens received by allotting unique identification for all input (sample tubes) and output (DNA/plasma/white cell) tubes and record the sample movement, processing, creation, and consumption. A designated computer analyst will maintain and manage the system. Access to Information: Only members of the research team will have access to the research data. Participants will be identified by code numbers only in the database and in transcripts; all data are tracked in databases by anonymous but linkable study numbers. No identifiable information will be released outside the study. Strategy for Project Continuation: The long-term goal of the investigative team is to create a resource that enables discovery of genetic susceptibility variants and novel circulating markers of CHD, thereby allowing individualized assessment of risk for CHD, a leading cause of death and morbidity in Qatar. Creation of the biorepository is the first necessary step to understand genomic and proteomic of CHD in Qatari individuals.

Tracking Information

Mayo Clinic
Principal Investigator: Iftikhar Kullo Mayo Clinic College of Medicine Principal Investigator: Ayman El-Menyar Hamad Medical Corporation Principal Investigator: Jassim Al Suwaidi Hamad Medical Corporation