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

Matthew Traylor, Martin Farrall, Elizabeth G Holliday, Cathie 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 Kittner, Muhammad Saleem KhanAlex 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, Børge G Nordestgaard, Australian Stroke Genetics Collaborative, Wellcome Trust Case Control Consortium 2 (WTCCC2)

    400 Citationer (Scopus)

    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.
    OriginalsprogEngelsk
    TidsskriftLancet neurology
    Vol/bind11
    Udgave nummer11
    Sider (fra-til)951-62
    Antal sider12
    ISSN1474-4422
    DOI
    StatusUdgivet - 2012

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