Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Advertisement
Nature Medicine (2023)
1
Metrics details
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.
This is a preview of subscription content, access via your institution
Subscribe to Journal
Get full journal access for 1 year
73,83 €
only 6,15 € per issue
All prices are NET prices.
VAT will be added later in the checkout.
Tax calculation will be finalised during checkout.
Buy article
Get time limited or full article access on ReadCube.
$32.00
All prices are NET prices.
James, S. L. et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1789–1858 (2018). A review article that presents global burden of 354 disease including cardiovascular diseases.
Article Google Scholar
Marenberg, M. E., Risch, N., Berkman, L. F., Floderus, B. & de Faire, U. Genetic susceptibility to death from coronary heart disease in a study of twins. New Engl. J. Med. 330, 1041–1046 (1994). This paper reports heritability estimates for coronary heart disease.
Article CAS Google Scholar
SEARCH Collaborative Group. SLCO1B1 variants and statin-induced myopathy—a genomewide study. New Engl. J. Med. 359, 789–799 (2008). A review article that presents evidence for adverse reactions to statin use for individuals carrying risk variants in the SLCO1B1 gene.
Article Google Scholar
Download references
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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).
Reprints and Permissions
Genetic prediction of medication use patterns in cardiometabolic disease. Nat Med (2023). https://doi.org/10.1038/s41591-022-02124-3
Download citation
Published: 22 January 2023
DOI: https://doi.org/10.1038/s41591-022-02124-3
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Advertisement
© 2023 Springer Nature Limited
Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.