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Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals

Author

Listed:
  • Qin Qin Huang

    (Wellcome Sanger Institute)

  • Neneh Sallah

    (University College London
    University College London)

  • Diana Dunca

    (University College London
    University College London)

  • Bhavi Trivedi

    (Queen Mary University of London)

  • Karen A. Hunt

    (Queen Mary University of London)

  • Sam Hodgson

    (University of Southampton)

  • Samuel A. Lambert

    (University of Cambridge
    University of Cambridge
    Wellcome Genome Campus and University of Cambridge)

  • Elena Arciero

    (Wellcome Sanger Institute)

  • John Wright

    (Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust)

  • Chris Griffiths

    (Queen Mary University of London)

  • Richard C. Trembath

    (King’s College London)

  • Harry Hemingway

    (University College London
    University College London
    University College London Hospitals Biomedical Research Centre (UCLH BRC))

  • Michael Inouye

    (University of Cambridge
    University of Cambridge
    Wellcome Genome Campus and University of Cambridge
    University of Cambridge)

  • Sarah Finer

    (Queen Mary University of London)

  • David A. Heel

    (Queen Mary University of London)

  • R. Thomas Lumbers

    (University College London
    University College London Hospitals Biomedical Research Centre (UCLH BRC)
    University College London)

  • Hilary C. Martin

    (Wellcome Sanger Institute)

  • Karoline Kuchenbaecker

    (University College London
    University College London)

Abstract

Individuals with South Asian ancestry have a higher risk of heart disease than other groups but have been largely excluded from genetic research. Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort, we conducted genome-wide association studies of coronary artery disease and its key risk factors. Using power-adjusted transferability ratios, we found evidence for transferability for the majority of cardiometabolic loci powered to replicate. The performance of polygenic scores was high for lipids and blood pressure, but lower for BMI and coronary artery disease. Adding a polygenic score for coronary artery disease to clinical risk factors showed significant improvement in reclassification. In Mendelian randomisation using transferable loci as instruments, our findings were consistent with results in European-ancestry individuals. Taken together, trait-specific transferability of trait loci between populations is an important consideration with implications for risk prediction and causal inference.

Suggested Citation

  • Qin Qin Huang & Neneh Sallah & Diana Dunca & Bhavi Trivedi & Karen A. Hunt & Sam Hodgson & Samuel A. Lambert & Elena Arciero & John Wright & Chris Griffiths & Richard C. Trembath & Harry Hemingway & M, 2022. "Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32095-5
    DOI: 10.1038/s41467-022-32095-5
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    References listed on IDEAS

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