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The scientific aims of the project are to understand the genetic basis of Familial Hypercholesterolaemia (FH) in the Emirati population and estimate the overall prevalence of the disease. In addition, a clinical aim of the project is to explore the effectiveness of screening the relatives of individuals affected by FH and other lipid disorders ("cascade" screening) within Emirati families.
Familial Hypercholesterolaemia is an inherited genetic disorder which causes elevated levels of low density lipoprotein (LDL) cholesterol in the blood. High LDL is a risk factor for with arterial disease and people with FH develop coronary artery disease (CAD) early in life. People with only one inherited copy of the defective gene usually develop CAD before the age of 60, whereas individuals who have inherited two copies usually die before the age of 30 from myocardial infarction ("heart attack") or sudden cardiac death. Coronary artery disease is a major cause of death and disability in the United Arab Emirates (UAE), and the medical costs associated with treating this condition are significant. Early identification and treatment of affected individuals can substantially postpone the onset of arterial disease and reduce the risk of mortality. In clinical practice, FH cases are usually identified by screening the relatives of people known to be affected.
Current study will focus on identifying individuals with high risk score for FH, based on the available medical records and laboratory information system (LIS). Furthermore, patients with history of premature ischaemic vascular disease and/or high readings for LDL-C will be approached and asked to participate.
The scientific aims of the study are:
It is expected that the cascade screening will provide additional clinical benefit to study participants and their families in terms of early identification and treatment where diagnosis could otherwise be missed. Early recognition and treatment in individuals with FH has been shown to reduce morbidity and mortality of affected individuals. The information gathered during this project will help introduce a cost-effective method for identifying people with dyslipidaemias and provide early intervention and management.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Hypercholesterolaemia | Individuals attending Imperial College London Diabetes Centre (ICLDC) and with LDL-C ≥5.0 mmol/L, for children <18 years LDL-C>95th centile by age and gender for country, and possible evidence of known premature CHD. Individuals with a high probability of disease according to the Dutch Lipid Network Criteria, score of ≥6 points, will be identified as possible probands (individual serving as our starting point for the genetic study of the family) and will be selected for further screening. Patients will be tested for known and/or suspected FH genes, using next generation sequencing (NGS) panel, whole exome and/or whole genome sequencing (WES/WGS) in cases where FH is highly suspected despite negative results from panel testing, and transcriptomic analysis of RNA blood samples. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Next generation sequencing (NGS) | Genetic | NGS panel, whole exome / genome sequencing (WES/WGS), transcriptome analysis |
|
| Measure | Description | Time Frame |
|---|---|---|
| Next generation sequencing (NGS) | Identify individuals with likelihood of FH diagnosis and confirming FH by genetic testing (applying NGS technology to analyse the genes already known and/or suspected to cause FH).Identifying novel FH genes and mutations in the Emirati population by performing whole exome and whole genome sequencing (WES/WGS). | through study completion, an average of 2 year |
| Measure | Description | Time Frame |
|---|---|---|
| Genetic test validation | Validating positive genetic test results by performing mutational analysis on parental samples (if available) | through study completion, an average of 2 year |
| Cascade screening |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with hypercholesterolaemia attending Imperial College London Diabetes Centre, UAE.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Hinda Daggag, PhD | Contact | +971 2 404 0800 | hdaggag@icldc.ae |
| Name | Affiliation | Role |
|---|---|---|
| Maha Barakat, PhD FRCP | Imperial College London Diabetes Centre | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Imperial College London Diabetes Centre | Recruiting | Abu Dhabi | 48338 | United Arab Emirates |
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| ID | Term |
|---|---|
| D006938 | Hyperlipoproteinemia Type II |
| D006937 | Hypercholesterolemia |
| ID | Term |
|---|---|
| D008052 | Lipid Metabolism, Inborn Errors |
| D008661 | Metabolism, Inborn Errors |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
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| ID | Term |
|---|---|
| D059014 | High-Throughput Nucleotide Sequencing |
| ID | Term |
|---|---|
| D017421 | Sequence Analysis |
| D005821 | Genetic Techniques |
| D008919 | Investigative Techniques |
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DNA will be extracted from collected blood samples for genetic analysis
Introduce cascade screening on a clinical basis in order to identify affected relatives of those index individuals with a clinical diagnosis of FH
| through study completion, an average of 2 year |
| Prevalence of FH | Determine the prevalence of FH in the UAE | through study completion, an average of 2 year |
| D006951 | Hyperlipoproteinemias |
| D006949 | Hyperlipidemias |
| D050171 | Dyslipidemias |
| D052439 | Lipid Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |