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NCT Number: NCT06535542

Integrating Whole Genome Sequencing and Digital Twins Into the Management of Hypercholesterolemia in Emiratis

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.

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Key information

Age range

18 year–55 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

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

[email protected]

0558873919

Salah Eldin HM Hussein, MD

CONTACT

[email protected]

0504485852

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients with 2 or more LDL-C levels greater than 190 mg/dL or 5.0 mmol/L in the past 12 months
  • Undiagnosed patients meeting Possible, Probable or Definitive FH criteria according to Dutch Lipid Clinic Network (DLCN) criteria (Eur Heart J. 2011 Jul;32(14):1769-818. doi: 10.1093/eurheartj/ehr158. Epub 2011 Jun 28.)
  • Patients who have not been on anti-lipidemic medication in the past 3 months
  • Ages 18-55
  • Emirati national
  • All patients must be fluent in English or Arabic

Exclusion criteria

  • - Patients who do not meet the above criteria
  • Patients with a previous diagnosis of FH
  • Patients with a progressive debilitating illness
  • Patient with untreated hypothyroidism, history of proteinuria, obstructive liver disease, chronic renal failure, human immunodeficiency virus infection, or on immunosuppressant or steroid or psychiatric medications
  • Patients with untreated clinical anxiety or depression (as measured by a Hospital Anxiety and Depression Scale (HADS) score of ≥ 16 on the depression subscale)
  • Patients who are pregnant

Treatment and study plan

Whole Genome Sequencing

Genetic

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.

Primary outcomes

  1. Diagnostic capabilities

    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.

Secondary outcomes

  1. Prognostic capabilities of standard-of-care

    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.

  2. Resources Implementation for WGS in a clinical setting

    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,

  3. Participant characteristics

    Time frame: Baseline

    Age, sociodemographic, personal and family history

  4. Change in Perceived Utility

    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.

  5. Changes in Health Care Utilization

    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.

  6. Clinician Attitudes About WGS

    Time frame: Baseline

    A self-built survey was created to assess physicians' perspective and attitude toward WGS

Study contacts

Contact information is provided by the study sponsor or research team.

Alina Naeem, MBBS

CONTACT

[email protected]

+97124102534

Mhy-Lanie Adduru, MD

CONTACT

[email protected]

+14088311991

Sponsors and collaborators

Lead sponsor

Abu Dhabi Health Services Company

Other Gov

Collaborators

  • Predictiv Care, Inc.

Registry information

Official study title

A Randomized Trial of Integrating Whole Genome Sequencing and Digital Twins Into the Management of Hypercholesterolemia in Emiratis

Important dates

Study start
2024
Primary completion
2025
Study completion
2026
First posted
Aug 2, 2024
Registry last updated
Mar 25, 2025

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.

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