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Subtype Specificity of Genetic Loci Associated With Stroke in 16 664 Cases and 32 792 Controls

  • Matthew Traylor
  • , Christopher D. Anderson
  • , Loes C.A. Rutten-Jacobs
  • , Guido J. Falcone
  • , Mary E. Comeau
  • , Hakan Ay
  • , Cathie L.M. Sudlow
  • , Huichun Xu
  • , Braxton D. Mitchell
  • , John W. Cole
  • , Kathryn Rexrode
  • , Jordi Jimenez-Conde
  • , Reinhold Schmidt
  • , Raji P. Grewal
  • , Ralph Sacco
  • , Marta Ribases
  • , Tatjana Rundek
  • , Jonathan Rosand
  • , Martin Dichgans
  • , Jin Moo Lee
  • Carl D. Langefeld, Steven J. Kittner, Hugh S. Markus, Daniel Woo, Rainer Malik
  • University of Cambridge
  • Queen Mary University of London
  • Massachusetts General Hospital
  • German Center for Neurodegenerative Diseases
  • Yale University
  • Wake Forest University
  • The Broad Institute of MIT and Harvard
  • University of Edinburgh
  • University of Maryland, Baltimore
  • Department of Veterans Affairs
  • Brigham and Women’s Hospital
  • Autonomous University of Barcelona
  • Medical University of Graz
  • Seton Hall University
  • University of Miami
  • Vall d'Hebron University Hospital
  • Parc Sanitari Sant Joan de Déu - CIBERSAM
  • Ludwig Maximilian University of Munich
  • Munich Cluster for Systems Neurology (SyNergy)
  • Washington University St. Louis

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Background: Genome-wide association studies have identified multiple loci associated with stroke. However, the specific stroke subtypes affected, and whether loci influence both ischemic and hemorrhagic stroke, remains unknown. For loci associated with stroke, we aimed to infer the combination of stroke subtypes likely to be affected, and in doing so assess the extent to which such loci have homogeneous effects across stroke subtypes. Methods: We performed Bayesian multinomial regression in 16 664 stroke cases and 32 792 controls of European ancestry to determine the most likely combination of stroke subtypes affected for loci with published genome-wide stroke associations, using model selection. Cases were subtyped under 2 commonly used stroke classification systems, TOAST (Trial of Org 10172 Acute Stroke Treatment) and causative classification of stroke. All individuals had genotypes imputed to the Haplotype Reference Consortium 1.1 Panel. Results: Sixteen loci were considered for analysis. Seven loci influenced both hemorrhagic and ischemic stroke, 3 of which influenced ischemic and hemorrhagic subtypes under both TOAST and causative classification of stroke. Under causative classification of stroke, 4 loci influenced both small vessel stroke and intracerebral hemorrhage. An EDNRA locus demonstrated opposing effects on ischemic and hemorrhagic stroke. No loci were predicted to influence all stroke subtypes in the same direction, and only one locus (12q24) was predicted to influence all ischemic stroke subtypes. Conclusions: Heterogeneity in the influence of stroke-associated loci on stroke subtypes is pervasive, reflecting differing causal pathways. However, overlap exists between hemorrhagic and ischemic stroke, which may reflect shared pathobiology predisposing to small vessel arteriopathy. Stroke is a complex, heterogeneous disorder requiring tailored analytic strategies to decipher genetic mechanisms.

Original languageEnglish
Pages (from-to)307-314
Number of pages8
JournalCirculation: Cardiovascular Genetics
Volume12
Issue number7
DOIs
StatePublished - Jul 1 2019

Keywords

  • atherosclerosis
  • cerebral hemorrhage
  • chromosome
  • dementia
  • haplotype

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