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Clinical utility of polygenic scores for cardiometabolic disease in Arabs

Author

Listed:
  • Injeong Shim

    (Massachusetts General Hospital, Harvard Medical School
    Massachusetts General Hospital, Harvard Medical School
    Broad Institute of MIT and Harvard
    Sungkyunkwan University, Samsung Medical Center)

  • Hiroyuki Kuwahara

    (King Abdullah University of Science and Technology (KAUST)
    King Abdullah University of Science and Technology (KAUST))

  • NingNing Chen

    (King Abdullah University of Science and Technology (KAUST)
    King Abdullah University of Science and Technology (KAUST))

  • Mais O. Hashem

    (King Faisal Specialist Hospital and Research Center)

  • Lama AlAbdi

    (King Faisal Specialist Hospital and Research Center
    King Saud University)

  • Mohamed Abouelhoda

    (King Faisal Specialist Hospital and Research Center)

  • Hong-Hee Won

    (Sungkyunkwan University, Samsung Medical Center)

  • Pradeep Natarajan

    (Massachusetts General Hospital, Harvard Medical School
    Massachusetts General Hospital, Harvard Medical School
    Broad Institute of MIT and Harvard)

  • Patrick T. Ellinor

    (Massachusetts General Hospital, Harvard Medical School
    Broad Institute of MIT and Harvard)

  • Amit V. Khera

    (Verve Therapeutics)

  • Xin Gao

    (King Abdullah University of Science and Technology (KAUST)
    King Abdullah University of Science and Technology (KAUST))

  • Fowzan S. Alkuraya

    (King Faisal Specialist Hospital and Research Center)

  • Akl C. Fahed

    (Massachusetts General Hospital, Harvard Medical School
    Massachusetts General Hospital, Harvard Medical School
    Broad Institute of MIT and Harvard)

Abstract

Arabs account for 5% of the world population and have a high burden of cardiometabolic disease, yet clinical utility of polygenic risk prediction in Arabs remains understudied. Among 5399 Arab patients, we optimize polygenic scores for 10 cardiometabolic traits, achieving a performance that is better than published scores and on par with performance in European-ancestry individuals. Odds ratio per standard deviation (OR per SD) for a type 2 diabetes score was 1.83 (95% CI 1.74–1.92), and each SD of body mass index (BMI) score was associated with 1.18 kg/m2 difference in BMI. Polygenic scores associated with disease independent of conventional risk factors, and also associated with disease severity—OR per SD for coronary artery disease (CAD) was 1.78 (95% CI 1.66–1.90) for three-vessel CAD and 1.41 (95% CI 1.29–1.53) for one-vessel CAD. We propose a pragmatic framework leveraging public data as one way to advance equitable clinical implementation of polygenic scores in non-European populations.

Suggested Citation

  • Injeong Shim & Hiroyuki Kuwahara & NingNing Chen & Mais O. Hashem & Lama AlAbdi & Mohamed Abouelhoda & Hong-Hee Won & Pradeep Natarajan & Patrick T. Ellinor & Amit V. Khera & Xin Gao & Fowzan S. Alkur, 2023. "Clinical utility of polygenic scores for cardiometabolic disease in Arabs," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41985-1
    DOI: 10.1038/s41467-023-41985-1
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    References listed on IDEAS

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