Polygenic Risk Scores in the Clinic
A Case for Stroke Survivors
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Genome-wide association studies (GWASs) have provided evidence for a polygenic architecture of most common disorders.1 By accumulating power with increasing sample sizes and increasing representation across ancestries, GWASs have detected thousands of loci across the genome associated with complex vascular diseases including stroke.2 Polygenic risk scores (PRSs) aggregate this information at an individual level by adding the number of genetic risk variants a person carries, weighted by the effect sizes from GWASs. Since their first description, PRSs were considered a means toward the clinical implementation of GWAS-derived data by consolidating complicated genomic data into a simple numerical biomarker representing an individual's genetic risk for a disease.3 Similar to other complex traits, PRSs for ischemic stroke and intracerebral hemorrhage are strongly associated with risk of incident events in population-based settings and independently of clinical risk factors, such as hypertension.2,4 However, despite innovations in PRS construction and improvements in their predictive ability, there has been to date no strong evidentiary support for their use in clinical and public health practice.5
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Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the editorial.
See page 706
- Received December 6, 2022.
- Accepted in final form December 21, 2022.
- © 2023 American Academy of Neurology
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