Genetic Causes of Hypercholesterolaemia in the Emirati Population

June 24, 2020 updated by: Imperial College London Diabetes Centre
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.

Study Overview

Status

Unknown

Detailed Description

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:

  • Identifying individuals with likelihood of FH diagnosis and confirming FH by genetic testing (applying Next Generation Sequencing 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
  • Validating positive genetic test results by performing mutational analysis on parental samples (if available)
  • Introducing cascade screening on a clinical basis in order to identify affected relatives of those index individuals with a clinical diagnosis of FH
  • Determining the prevalence of FH in the UAE
  • Determining the short and the long-term clinical outcomes of FH in the UAE

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.

Study Type

Observational

Enrollment (Anticipated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Abu Dhabi, United Arab Emirates, 48338
        • Recruiting
        • Imperial College London Diabetes Centre

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with hypercholesterolaemia attending Imperial College London Diabetes Centre, UAE.

Description

Inclusion Criteria:

  • Patients attending Imperial College London Diabetes Centre
  • Patients with hypercholesterolaemia
  • Patients with possible evidence of known premature coronary heart disease (CHD)
  • Patients (or parent/legal guardian if <18 years) willing and able to give informed consent for participation in the study.

Exclusion Criteria:

  • Patients with no history of hypercholesterolaemia
  • Patients or their legal guardian/legal representative who are unwilling or unable to give informed consent.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Cross-Sectional

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
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.

NGS panel, whole exome / genome sequencing (WES/WGS), transcriptome analysis

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Next generation sequencing (NGS)
Time Frame: through study completion, an average of 2 year
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

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Genetic test validation
Time Frame: through study completion, an average of 2 year
Validating positive genetic test results by performing mutational analysis on parental samples (if available)
through study completion, an average of 2 year
Cascade screening
Time Frame: through study completion, an average of 2 year
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
Time Frame: through study completion, an average of 2 year
Determine the prevalence of FH in the UAE
through study completion, an average of 2 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 17, 2017

Primary Completion (Anticipated)

December 31, 2020

Study Completion (Anticipated)

December 31, 2020

Study Registration Dates

First Submitted

June 27, 2018

First Submitted That Met QC Criteria

July 22, 2018

First Posted (Actual)

July 24, 2018

Study Record Updates

Last Update Posted (Actual)

June 25, 2020

Last Update Submitted That Met QC Criteria

June 24, 2020

Last Verified

February 1, 2020

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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