Genetic risk score of cerebral infarction in atrial fibrillation genome‐wide association study

Author:

Ebana Yusuke1ORCID,Liu Lian2,Ihara Kensuke2ORCID,Abe Keiko3,Terao Chikashi4,Kamatani Yoichiro4,Sasano Tetsuo5,Furukawa Tetsushi2

Affiliation:

1. Life Science and Bioethics Research Center Tokyo Medical and Dental University Bunkyo‐Ku Japan

2. Department of Bio‐informational Pharmacology, Medical Research Institute Tokyo Medical and Dental University Bunkyo‐Ku Japan

3. Anesthesiology and Clinical Physiology, Department of Oral Restitution, Division of Oral Health Sciences, Graduate School of Medical and Dental Sciences Tokyo Medical and Dental University Bunkyo‐Ku Japan

4. Laboratory for Statistical and Translational Genetics RIKEN Center for Integrative Medical Sciences Yokohama Japan

5. Department of Cardiovascular Medicine, Graduate School of Medicine Tokyo Medical and Dental University Bunkyo‐Ku Japan

Abstract

AbstractIntroductionStroke is a leading cause of death and the primary cause of adult‐acquired disability. Patients with cardiogenic embolic stroke also have higher mortality and recurrence rates than patients with other stroke subtypes. Atrial fibrillation (AF) is a major risk factor for cerebral infarction (CI). The large‐scale study identified 32 loci in the MEGASTROKE study. However, few studies have attempted to identify novel stroke risk variants in patients with a history of AF. Our overall aim was to identify novel CI risk variants in AF cases and explore whether their associations with the CI risk were affected by the CHADS2 and CHA2DS2‐VASc scores.MethodsWe performed association study with CI using 8181 AF cases in previous genome‐wide association study (GWAS) and imputation data without controls. We classified AF cases into those with or without past history of CI, and the genetic associations with the CI risk were examined.ResultsGWAS identified eight associated loci. The generated genetic risk score (GRS) for the eight loci was significantly associated with CI in patients with AF (1.46 × 10−8). We estimated bivariate logistic regression model which contained GRS and CHADS2 score (GRS: p‐Value = 7.41 × 10−9, CHADS2 score: p‐Value <2.0 × 10−16) or CHA2DS2‐VASc scores (GRS: p‐Value = 2.52 × 10−10, CHA2DS2‐VASc score: p‐Value <2.0 × 10−16).ConclusionWe identified eight genetic variants that were potentially associated with the risk of CI of AF cases and the significant GRS, whose associations were independent of the CHADS2 or CHA2DS2‐VASc score.

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Clinical Biochemistry,Biochemistry,General Medicine

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