Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies

Australian Stroke Genetics Collaborative, Wellcome Trust Case Control Consortium 2 (WTCCC2), Matthew Traylor, Martin Farrall, Elizabeth G Holliday, Catherine Sudlow, Jemma C Hopewell, Yu-Ching Cheng, Myriam Fornage, M Arfan Ikram, Rainer Malik, Steve Bevan, Unnur Thorsteinsdottir, Mike A Nalls, Wt Longstreth, Kerri L Wiggins, Sunaina Yadav, Eugenio A Parati, Anita L Destefano, Bradford B Worrall, Steven J KittnerMuhammad Saleem Khan, Alex P Reiner, Anna Helgadottir, Sefanja Achterberg, Israel Fernandez-Cadenas, Sherine Abboud, Reinhold Schmidt, Matthew Walters, Wei-Min Chen, E Bernd Ringelstein, Martin O'Donnell, Weang Kee Ho, Joanna Pera, Robin Lemmens, Bo Norrving, Peter Higgins, Marianne Benn, Michele Sale, Gregor Kuhlenbäumer, Alexander S F Doney, Astrid M Vicente, Hossein Delavaran, Ale Algra, Gail Davies, Sofia A Oliveira, Colin N A Palmer, Ian Deary, Helena Schmidt, Massimo Pandolfo, Joan Montaner, Cara Carty

Research output: Contribution to journalArticlepeer-review

Abstract

Various genome-wide association studies (GWAS) have been done in ischaemic stroke, identifying a few loci associated with the disease, but sample sizes have been 3500 cases or less. We established the METASTROKE collaboration with the aim of validating associations from previous GWAS and identifying novel genetic associations through meta-analysis of GWAS datasets for ischaemic stroke and its subtypes.
Original languageEnglish
Pages (from-to)951-62
Number of pages12
JournalLancet Neurology
Volume11
Issue number11
DOIs
Publication statusPublished - Nov 2012

Keywords

  • Brain Ischemia
  • Databases, Genetic
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Humans
  • Risk Factors
  • Stroke

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