ORCID: https://orcid.org/0000-0002-0654-387X; Malik, Rainer; Worrall, Bradford B. und Fornage, Myriam
(2020):
Genome-Wide Association Study Meta-Analysis of Stroke in 22 000 Individuals of African Descent Identifies Novel Associations With Stroke.
In: Stroke, Bd. 51, Nr. 8: S. 2454-2463
[PDF, 747kB]
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Abstract
Background and Purpose: Stroke is a complex disease with multiple genetic and environmental risk factors. Blacks endure a nearly 2-fold greater risk of stroke and are 2x to 3x more likely to die from stroke than European Americans. Methods: The COMPASS (Consortium of Minority Population Genome-Wide Association Studies of Stroke) has conducted a genome-wide association meta-analysis of stroke in >22 000 individuals of African ancestry (3734 cases, 18 317 controls) from 13 cohorts. Results: In meta-analyses, we identified one single nucleotide polymorphism (rs55931441) near theHNF1Agene that reached genome-wide significance (P=4.62x10(-8)) and an additional 29 variants with suggestive evidence of association (P<1x10(-6)), representing 24 unique loci. For validation, a look-up analysis for a 100 kb region flanking the COMPASS single nucleotide polymorphism was performed in SiGN (Stroke Genetics Network) Europeans, SiGN Hispanics, and METASTROKE (Europeans). Using a stringent Bonferroni correctionPvalue of 2.08x10(-3)(0.05/24 unique loci), we were able to validate associations at theHNF1Alocus in both SiGN (P=8.18x10(-4)) and METASTROKE (P=1.72x10(-3)) European populations. Overall, 16 of 24 loci showed evidence for validation across multiple populations. Previous studies have reported associations between variants in theHNF1Agene and lipids, C-reactive protein, and risk of coronary artery disease and stroke. Suggestive associations with variants in theSFXN4andTMEM108genes represent potential novel ischemic stroke loci. Conclusions: These findings represent the most thorough investigation of genetic determinants of stroke in individuals of African descent, to date.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin
Medizin > Munich Cluster for Systems Neurology (SyNergy) Medizin > Institut für Schlaganfall- und Demenzforschung (ISD) |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-86938-6 |
ISSN: | 0039-2499 |
Sprache: | Englisch |
Dokumenten ID: | 86938 |
Datum der Veröffentlichung auf Open Access LMU: | 25. Jan. 2022 09:21 |
Letzte Änderungen: | 17. Jan. 2025 07:53 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198 |