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

dc.contributor.authorCarcel-Marquez, Jara
dc.contributor.authorMuiño, Elena
dc.contributor.authorGallego-Fabrega, Cristina
dc.contributor.authorCullell, Natalia
dc.contributor.authorLledos, Miquel
dc.contributor.authorLlucia-Carol, Laia
dc.contributor.authorSobrino, Tomas
dc.contributor.authorCampos, Francisco
dc.contributor.authorCastillo, Jose
dc.contributor.authorFreijo, Marimar
dc.contributor.authorArenillas, Juan Francisco
dc.contributor.authorObach, Victor
dc.contributor.authorAlvarez-Sabin, Jose
dc.contributor.authorMolina, Carlos A
dc.contributor.authorRibo, Marc
dc.contributor.authorJimenez-Conde, Jordi
dc.contributor.authorRoquer, Jaume
dc.contributor.authorMuñoz-Narbona, Lucia
dc.contributor.authorLopez-Cancio, Elena
dc.contributor.authorMillan, Monica
dc.contributor.authorDiaz-Navarro, Rosa
dc.contributor.authorVives-Bauza, Cristofol
dc.contributor.authorSerrano-Heras, Gemma
dc.contributor.authorSegura, Tomas
dc.contributor.authorIbañez, Laura
dc.contributor.authorHeitsch, Laura
dc.contributor.authorDelgado, Pilar
dc.contributor.authorDhar, Rajat
dc.contributor.authorKrupinski, Jerzy
dc.contributor.authorDelgado-Mederos, Raquel
dc.contributor.authorPrats-Sanchez, Luis
dc.contributor.authorCamps-Renom, Pol
dc.contributor.authorBlay, Natalia
dc.contributor.authorSumoy, Lauro
dc.contributor.authorde Cid, Rafael
dc.contributor.authorMontaner, Joan
dc.contributor.authorCruchaga, Carlos
dc.contributor.authorJin-Moo, Lee
dc.contributor.authorMarti-Fabregas, Joan
dc.contributor.authorFernandez-Cadenas, Israel
dc.date.accessioned2023-05-03T13:39:46Z
dc.date.available2023-05-03T13:39:46Z
dc.date.issued2022-07-08
dc.description.abstractOccult 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. Multitrait 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 We 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. The 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.
dc.description.versionSi
dc.identifier.citationCárcel-Márquez J, Muiño E, Gallego-Fabrega C, Cullell N, Lledós M, Llucià-Carol L, et al. A Polygenic Risk Score Based on a Cardioembolic Stroke Multitrait Analysis Improves a Clinical Prediction Model for This Stroke Subtype. Front Cardiovasc Med. 2022 Jul 8;9:940696.
dc.identifier.doi10.3389/fcvm.2022.940696
dc.identifier.issn2297-055X
dc.identifier.pmcPMC9304625
dc.identifier.pmid35872910
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304625/pdf
dc.identifier.unpaywallURLhttps://www.frontiersin.org/articles/10.3389/fcvm.2022.940696/pdf
dc.identifier.urihttp://hdl.handle.net/10668/20554
dc.journal.titleFrontiers in cardiovascular medicine
dc.journal.titleabbreviationFront Cardiovasc Med
dc.language.isoen
dc.organizationHospital Universitario Virgen del Rocío
dc.organizationInstituto de Biomedicina de Sevilla-IBIS
dc.page.number12
dc.provenanceRealizada la curación de contenido 06/03/2025
dc.publisherFrontiers Research Foundation
dc.pubmedtypeJournal Article
dc.relation.publisherversionhttps://doi.org/10.3389/fcvm.2022.940696
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectESUs
dc.subjectGWAS
dc.subjectmulti-trait analysis
dc.subjectpolygenic risk score
dc.subjectstroke
dc.subject.decsAnticoagulantes
dc.subject.decsAccidente cerebrovascular embólico
dc.subject.decsVolición
dc.subject.decsFibrilación atrial
dc.subject.decsRecurrencia
dc.subject.decsAccidente cerebrovascular
dc.subject.decsHipertensión
dc.subject.decsFactores de riesgo
dc.subject.decsTerapéutica
dc.subject.decsRiesgo
dc.subject.meshHumans
dc.subject.meshEmbolic Stroke
dc.subject.meshAtrial Fibrillation
dc.subject.meshAnticoagulants
dc.subject.meshGenome-Wide Association Study
dc.subject.meshCerebral Infarction
dc.subject.meshRisk Assessment
dc.subject.meshRisk Factors
dc.subject.meshHypertension
dc.titleA Polygenic Risk Score Based on a Cardioembolic Stroke Multitrait Analysis Improves a Clinical Prediction Model for This Stroke Subtype.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number9
dspace.entity.typePublication

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