Combining Clinical and Polygenic Risk Improves Stroke Prediction Among Individuals With Atrial Fibrillation.

Aged Atrial Fibrillation / complications Female Genome-Wide Association Study Humans Ischemic Stroke / etiology Male Middle Aged Risk Assessment
atrial fibrillation biomarkers genetics ischemic stroke risk factor

Journal

Circulation. Genomic and precision medicine
ISSN: 2574-8300
Titre abrégé: Circ Genom Precis Med
Pays: United States
ID NLM: 101714113

Informations de publication

Date de publication:
06 2021
Historique:
pubmed: 25 5 2021
medline: 15 2 2022
entrez: 24 5 2021
Statut: ppublish

Résumé

Atrial fibrillation (AF) is associated with a five-fold increased risk of ischemic stroke. A portion of this risk is heritable; however, current risk stratification tools (CHA Using data from the largest available genome-wide association study in Europeans, we combined over half a million genetic variants to construct a PRS to predict ischemic stroke in patients with AF. We externally validated this PRS in independent data from the UK Biobank, both independently and integrated with clinical risk factors. The integrated PRS and clinical risk factors risk tool had the greatest predictive ability. Compared with the currently recommended risk tool (CHA In patients with AF, there appears to be a significant association between PRS and risk of ischemic stroke. The greatest predictive ability was found with the integration of PRS and clinical risk factors; however, the prediction of stroke remains challenging.

Sections du résumé

BACKGROUND
Atrial fibrillation (AF) is associated with a five-fold increased risk of ischemic stroke. A portion of this risk is heritable; however, current risk stratification tools (CHA
METHODS
Using data from the largest available genome-wide association study in Europeans, we combined over half a million genetic variants to construct a PRS to predict ischemic stroke in patients with AF. We externally validated this PRS in independent data from the UK Biobank, both independently and integrated with clinical risk factors. The integrated PRS and clinical risk factors risk tool had the greatest predictive ability.
RESULTS
Compared with the currently recommended risk tool (CHA
CONCLUSIONS
In patients with AF, there appears to be a significant association between PRS and risk of ischemic stroke. The greatest predictive ability was found with the integration of PRS and clinical risk factors; however, the prediction of stroke remains challenging.

Identifiants

DOI: 10.1161/CIRCGEN.120.003168 PMID: 34029116 PMC: PMC8212575
pubmed: 34029116
doi: 10.1161/CIRCGEN.120.003168
pmc: PMC8212575
mid: NIHMS1703703
doi:

Types de publication

Clinical Trial Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e003168

Subventions

Organisme : NHLBI NIH HHS
ID : T32 HL094274
Pays : United States

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Auteurs

Jack W O'Sullivan (JW)

Division of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.

Anna Shcherbina (A)

Department of Biomedical Data Science (A.S.), Stanford University School of Medicine, Stanford, CA.
Department of Biomedical Data Science, Stanford University, Stanford, CA (A.S., J.M.J., M.A.R., E.A.A.).

Johanne M Justesen (JM)

Department of Biomedical Data Science, Stanford University, Stanford, CA (A.S., J.M.J., M.A.R., E.A.A.).

Mintu Turakhia (M)

Division of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Center for Digital Health (M.T.), Stanford University School of Medicine, Stanford, CA.
Veterans Affairs Palo Alto Health Care System, Palo Alto, CA (M.T.).

Marco Perez (M)

Division of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.

Hannah Wand (H)

Division of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.

Catherine Tcheandjieu (C)

Division of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.

Shoa L Clarke (SL)

Division of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.

Manuel A Rivas (MA)

Department of Biomedical Data Science, Stanford University, Stanford, CA (A.S., J.M.J., M.A.R., E.A.A.).

Euan A Ashley (EA)

Division of Cardiology, Department of Medicine (J.W.O., M.T., M.P., H.W., C.T., S.L.C., E.A.A.), Stanford University School of Medicine, Stanford, CA.
Department of Genetics (E.A.A.), Stanford University School of Medicine, Stanford, CA.
Department of Biomedical Data Science, Stanford University, Stanford, CA (A.S., J.M.J., M.A.R., E.A.A.).

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Combining Clinical and Polygenic Risk Improves...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Troubles du rythme cardiaque › Fibrillation auriculaire › Combining Clinical and Polygenic Risk Improves...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Épidémiologie moléculaire › Étude d'association pangénomique › Combining Clinical and Polygenic Risk Improves...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Combining Clinical and Polygenic Risk Improves...
questionsmedicales.fr › Maladies cardiovasculaires › Maladies vasculaires › Angiopathies intracrâniennes › Accident vasculaire cérébral › Accident vasculaire cérébral ischémique › Combining Clinical and Polygenic Risk Improves...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Combining Clinical and Polygenic Risk Improves...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Appréciation des risques › Combining Clinical and Polygenic Risk Improves...