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<p>In this report, we provide a follow-up analysis of a previously published genome-wide association study (GWAS) evaluating the effect of genetic polymorphisms on inter-individual variations in cell-mediated immune responses to mumps vaccine. Here we report the results of a polygenic score (PGS) analysis showing how common variants can predict mumps vaccine response. We found higher PGS for IFNγ, IL-2, and TNFα were predictive of higher post-vaccine IFNγ (<i>p</i> value = 2e-6), IL-2 (<i>p</i> = 2e-7), and TNFα (<i>p</i> = 0.004) levels, respectively. Control of immune responses after vaccination is complex and polygenic in nature. Our results suggest that the PGS-based approach enables better capture of the combined genetic effects that contribute to mumps vaccine-induced immunity, potentially offering a more comprehensive understanding than traditional single-variant GWAS. This approach will likely have broad utility in studying genetic control of immune responses to other vaccines and to infectious diseases.</p>

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Polygenic prediction of cellular immune responses to mumps vaccine

  • 期刊论文

  • 发表日期：

    2025年6月10日

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  • Brandon J. Coombes,
  • Inna G. Ovsyannikova,
  • Daniel J. Schaid,
  • Nathaniel D. Warner,
  • Gregory A. Poland,
  • Richard B. Kennedy

摘要

In this report, we provide a follow-up analysis of a previously published genome-wide association study (GWAS) evaluating the effect of genetic polymorphisms on inter-individual variations in cell-mediated immune responses to mumps vaccine. Here we report the results of a polygenic score (PGS) analysis showing how common variants can predict mumps vaccine response. We found higher PGS for IFNγ, IL-2, and TNFα were predictive of higher post-vaccine IFNγ (p value = 2e-6), IL-2 (p = 2e-7), and TNFα (p = 0.004) levels, respectively. Control of immune responses after vaccination is complex and polygenic in nature. Our results suggest that the PGS-based approach enables better capture of the combined genetic effects that contribute to mumps vaccine-induced immunity, potentially offering a more comprehensive understanding than traditional single-variant GWAS. This approach will likely have broad utility in studying genetic control of immune responses to other vaccines and to infectious diseases.