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

Cárcel-Márquez J, Muiño E, Gallego-Fabrega C et al.

35872910 PubMed ID
GWAS Study Type
362661 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CJ
Cárcel-Márquez J
ME
Muiño E
GC
Gallego-Fabrega C
CN
Cullell N
LM
Lledós M
LL
Llucià-Carol L
ST
Sobrino T
CF
Campos F
CJ
Castillo J
FM
Freijo M
AJ
Arenillas JF
OV
Obach V
ÁJ
Álvarez-Sabín J
MC
Molina CA
RM
Ribó M
JJ
Jiménez-Conde J
RJ
Roquer J
ML
Muñoz-Narbona L
LE
Lopez-Cancio E
MM
Millán M
DR
Diaz-Navarro R
VC
Vives-Bauza C
SG
Serrano-Heras G
ST
Segura T
IL
Ibañez L
HL
Heitsch L
DP
Delgado P
DR
Dhar R
KJ
Krupinski J
DR
Delgado-Mederos R
PL
Prats-Sánchez L
CP
Camps-Renom P
BN
Blay N
SL
Sumoy L
DC
de Cid R
MJ
Montaner J
CC
Cruchaga C
LJ
Lee JM
MJ
Martí-Fàbregas J
FI
Férnandez-Cadenas I
Chapter II

Abstract

Summary of the research findings

Occult 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.

362,661 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

362661
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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