Abu Dhabi Health Research Center
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Location status: Recruiting
Location contact
Ali H Muwaili, MD
SUB_INVESTIGATOR
Antoniette C Cano, BSc
CONTACT
Salah Eldin HM Hussein, MD
CONTACT
NCT Number: NCT06535542
This pilot study investigates integrating whole genome sequencing and digital twin technology for managing hypercholesterolemia in Abu Dhabi clinics. It aims to establish protocols for larger future studies and incorporate genomic insights into routine medical care.
Interested in participating?
Request Info18 year–55 year
All sexes
Interventional
Not applicable
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Location status: Recruiting
Ali H Muwaili, MD
SUB_INVESTIGATOR
Antoniette C Cano, BSc
CONTACT
Salah Eldin HM Hussein, MD
CONTACT
Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death in the Middle East, with hypercholesterolemia being a significant contributor. Genetic mechanisms of hypercholesterolemia in this region are not well understood. Autosomal dominant hypercholesterolemia is a major factor, yet only ~7% of Emiratis with familial hypercholesterolemia (FH) have these mutations. In 2013, Talmud et al. identified common variants through genome-wide association studies (GWAS) that suggest a polygenic cause for hypercholesterolemia in mutation-negative FH patients. A polygenic risk score based on 12 SNPs was validated in White European populations and is used in the UK's NHS diagnostic pipeline. Distinguishing polygenic hypercholesterolemia from FH without genetic testing is challenging. These patients exhibit familial moderate hypercholesterolemia and early coronary heart disease, with elevated LDL-C, normal triglycerides, and no tendon xanthoma. Their cardiovascular risk is similar to monogenic FH with age.
Statins, though commonly prescribed for ASCVD prevention, can cause musculoskeletal symptoms leading to poor adherence, discontinuation, elevated cholesterol, and increased cardiovascular risk. Many patients fail to achieve target LDL-C levels due to suboptimal dosing. Certain gene variants increase the risk of statin side effects.
This study seeks to integrate whole genome sequencing (WGS) technology in a clinical setting through an innovative digital twin platform. This platform allows clinicians to assess monogenic and polygenic risks in real-time and make informed statin prescribing and management decisions.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Participants in this arm will have their blood sample analyzed by whole-genome sequencing (WGS) and will be given access to Predictiv™ Deoxyribonucleic acid (DNA)-based digital twin platform, a web-based interactive application with WGS results. The platform will include positive monogenic and polygenic Familial Hypercholesterolemia results and pharmacogenomics results on statins and clopidogrel. A report of positive monogenic variants will be included in their medical record. This may also include genes on the American College of Medical Genetics and Genomics (ACMG) secondary findings (SF) version 3.2 list if the participant consents to receive these incidental findings. The report will only include pathogenic, likely pathogenic, and variant of uncertain significance (VUS) results.
Time frame: From consent date until first documented report, up to 6 months
Diagnostic yield of standard-of-care (based on medical and family history) versus whole genome sequencing (WGS) for identifying monogenic and polygenic familial hypercholesterolemia.
Time frame: Baseline to End of Study, up to 12 months
Prognostic capabilities of standard-of-care (based on medical and family history) versus whole genome sequencing for predicting outcomes and management in monogenic and polygenic familial hypercholesterolemia.
Time frame: Baseline to End of Study, up to 12 months
Assessed by documenting resources necessary for each phase, including execution of WGS, reporting of results, and overall evaluation,
Time frame: Baseline
Age, sociodemographic, personal and family history
Time frame: Baseline, post-disclosure of results (approximately 2-3 months after enrollment), 6 months post-enrollment
Assessed using novel participant surveys via questions including: attitudes towards DNA testing and results, understanding of results, change in expectations, confidence, concerns.
Time frame: Baseline to End of Study, up to 12 months
Assessed by reviewing medical records comparing number of services and procedures received related to the diagnosis.
Time frame: Baseline
A self-built survey was created to assess physicians' perspective and attitude toward WGS
Contact information is provided by the study sponsor or research team.
Alina Naeem, MBBS
CONTACT
Mhy-Lanie Adduru, MD
CONTACT
Abu Dhabi Health Services Company
Other Gov
A Randomized Trial of Integrating Whole Genome Sequencing and Digital Twins Into the Management of Hypercholesterolemia in Emiratis
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT04656028
Adherence, Adherence, Medication
Moscow, Russia
View Trial DetailsNCT00477594
Congenital Abnormalities, Congenital, Hereditary, and Neonatal Diseases and Abnormalities
Chicago, Illinois, United States
View Trial DetailsNCT00607373
Congenital Abnormalities, Congenital, Hereditary, and Neonatal Diseases and Abnormalities
Charlotte, North Carolina, United States
View Trial DetailsNCT00694109
Congenital Abnormalities, Congenital, Hereditary, and Neonatal Diseases and Abnormalities
Mission Viejo, California, United States
View Trial Details