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Validation of an Integrated Risk Tool, Including Polygenic Risk Score, for Atherosclerotic Cardiovascular Disease in Multiple Ethnicities and Ancestries by Michael E. Weale; Fernando Riveros-Mckay; Saskia Selzam; Priyanka Seth; Rachel Moore; William A. Tarran; Eva Gradovich; Carla Giner-Delgado; Duncan Palmer; Daniel Wells; Ayden Saffari; R. Michael Sivley; Alexander S. Lachapelle; Hannah Wand; Shoa L. Clarke; Joshua W. Knowles; Jack W. O'Sullivan; Euan A. Ashley; Gil McVean; Vincent Plagnol; Peter Donnelly is a Medicine article available to read on EtoBox.
What is Validation of an Integrated Risk Tool, Including Polygenic Risk Score, for Atherosclerotic Cardiovascular Disease in Multiple Ethnicities and Ancestries about?
pooled cohort equations tool (ASCVD-PCE) is currently recommended to assess 10-year risk for atherosclerotic cardiovascular disease (ASCVD). ASCVD-PCE does not currently include genetic risk factors. Polygenic risk scores (PRSs) have been shown to offer a powerful new approach to measuring genetic risk for common diseases, including ASCVD, and to enhance risk prediction when combined with ASCVD-PCE. Most work to date, including the assessment of tools, has focused on performance in individuals of European ancestries. Here we present evidence for the clinical validation of a new integrated risk tool (IRT), ASCVD-IRT, which combines ASCVD-PCE with PRS to predict 10-year risk of ASCVD across diverse ethnicity and ancestry groups. We demonstrate improved predictive performance of ASCVD-IRT over ASCVD-PCE, not only in individuals of self-reported White ethnicities (net reclassification improvement [NRI]; with 95% confidence interval = 2.7% [1.1 to 4.2]) but also Black / African American / Black Caribbean / Black African (NRI = 2.5% [0.6-4.3]) and South Asian (Indian, Bangladeshi or Pakistani) ethnicities (NRI = 8.7% [3.1 to 14.4]). NRI confidence intervals were wider and included zero f
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It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Michael E. Weale; Fernando Riveros-Mckay; Saskia Selzam; Priyanka Seth; Rachel Moore; William A. Tarran; Eva Gradovich; Carla Giner-Delgado; Duncan Palmer; Daniel Wells; Ayden Saffari; R. Michael Sivley; Alexander S. Lachapelle; Hannah Wand; Shoa L. Clarke; Joshua W. Knowles; Jack W. O'Sullivan; Euan A. Ashley; Gil McVean; Vincent Plagnol; Peter Donnelly
- Publisher
- Elsevier BV
- Published
- 2021
- Language
- EN
- Field
- Medicine (Health Sciences)