By performing a large-scale biobank-based genome-wide association study, we identified a strong link between the underlying risk of cardiometabolic disease and patterns of lifelong medication use in hyperlipidemia, hypertension and type 2 diabetes. We discover hundreds of genetic predictors of medication use behavior and show medication-use-enhanced applications for polygenic prediction in cardiometabolic diseases.
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This is a summary of: Kiiskinen, T. et al. Genetic predictors of lifelong medication use patterns in cardiometabolic diseases. Nat. Med. https://doi.org/10.1038/s41591-022-02122-5 (2023).
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Genetic prediction of medication use patterns in cardiometabolic disease. Nat Med 29, 43–44 (2023). https://doi.org/10.1038/s41591-022-02124-3
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DOI: https://doi.org/10.1038/s41591-022-02124-3
