Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Olle Melander

Principal investigator

Default user image.

Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

Author

  • Rainer Malik
  • Ganesh Chauhan
  • Matthew Traylor
  • Muralidharan Sargurupremraj
  • Yukinori Okada
  • Aniket Mishra
  • Peter Almgren
  • Olle Melander
  • Gunnar Engström
  • Arne Lindgren
  • Hossein Delavaran
  • Andreea Ilinca
  • Bo Norrving

Summary, in English

Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy. © 2018 The Author(s)

Department/s

  • Cardiovascular Research - Hypertension
  • Cardiovascular Research - Epidemiology
  • Clinical Stroke Research Group
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2018-04

Language

English

Pages

524-537

Publication/Series

Nature Genetics

Volume

50

Issue

4

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Medical Genetics
  • Neurosciences

Status

Published

Research group

  • Cardiovascular Research - Hypertension
  • Cardiovascular Research - Epidemiology
  • Clinical Stroke Research Group

ISBN/ISSN/Other

  • ISSN: 1546-1718