4.6 Article

A Polygenic Risk Score Based on a Cardioembolic Stroke Multitrait Analysis Improves a Clinical Prediction Model for This Stroke Subtype

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fcvm.2022.940696

关键词

polygenic risk score; GWAS; multi-trait analysis; stroke; ESUs

资金

  1. AGAUR Contract (Agencia de Gestio d'Ajuts Universitaris i de Recerca
  2. FI_DGR 2019) [2020FI_B1 00157]
  3. Fons Social Europeu (FSE)
  4. Rio Hortega Contract [CM18/00198]
  5. PFIS Contract (Contratos Predoctorales de Formacion en Investigacion en Salud) [FI19/00309]
  6. Sara Borrell Contract [CD20/00043]
  7. Fondo Europeo de Desarrollo Regional (ISCIII-FEDER)
  8. Miguel Servet Program [CPII17/00027, CPII19/00020]
  9. Instituto de Salud Carlos III [III PI15/01978, PI17/02089, PI1801338, RICORS-ICTUS RD21/0006/0006]
  10. Fundacio Docencia i Recerca FMT grant for the Epigenesis project
  11. Eranet-Neuron of the Ibiostroke project [AC19/00106]
  12. Boehringer Ingelheim of the SEDMAN Study
  13. GCAT Cession Research Project [PI-2018-01]
  14. Accion de Dinamizacion del ISCIII-MINECO
  15. Ministry of Health of the Generalitat of Catalunya [ADE 10/00026]
  16. Agencia de Gestio d'Ajuts Universitaris i de Recerca (AGAUR) [2017SGR 529]

向作者/读者索取更多资源

This study identified novel loci associated with cardioembolic strokes (CES) and developed a polygenic risk score (PRS) to better stratify the risk of CES. These findings may guide future clinical trials of anticoagulant therapy in patients with embolic stroke of undetermined source (ESUS) or atrial fibrillation (AF).
BackgroundOccult atrial fibrillation (AF) is one of the major causes of embolic stroke of undetermined source (ESUS). Knowing the underlying etiology of an ESUS will reduce stroke recurrence and/or unnecessary use of anticoagulants. Understanding cardioembolic strokes (CES), whose main cause is AF, will provide tools to select patients who would benefit from anticoagulants among those with ESUS or AF. We aimed to discover novel loci associated with CES and create a polygenetic risk score (PRS) for a more efficient CES risk stratification. MethodsMultitrait analysis of GWAS (MTAG) was performed with MEGASTROKE-CES cohort (n = 362,661) and AF cohort (n = 1,030,836). We considered significant variants and replicated those variants with MTAG p-value < 5 x 10(-8) influencing both traits (GWAS-pairwise) with a p-value < 0.05 in the original GWAS and in an independent cohort (n = 9,105). The PRS was created with PRSice-2 and evaluated in the independent cohort. ResultsWe found and replicated eleven loci associated with CES. Eight were novel loci. Seven of them had been previously associated with AF, namely, CAV1, ESR2, GORAB, IGF1R, NEURL1, WIPF1, and ZEB2. KIAA1755 locus had never been associated with CES/AF, leading its index variant to a missense change (R1045W). The PRS generated has been significantly associated with CES improving discrimination and patient reclassification of a model with age, sex, and hypertension. ConclusionThe loci found significantly associated with CES in the MTAG, together with the creation of a PRS that improves the predictive clinical models of CES, might help guide future clinical trials of anticoagulant therapy in patients with ESUS or AF.

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