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

• Autor(a) principal: Traylor, M.
• Data de Publicação: 2012
• Outros Autores: Farrall, M., Holliday, E.G., Sudlow, C., Hopewell, J.C., Cheng, Y.C., Fornage, M., Ikram, M.A., Malik, R., Bevan, S., Thorsteinsdottir, U., Nalls, M.A., Longstreth, W., Wiggins, K.L., Yadav, S., Parati, E.A., Destefano, A.L., Worrall, B.B., Kittner, S.J., Khan, M.S., Reiner, A.P., Helgadottir, A., Achterberg, S., Fernandez-Cadenas, I., Abboud, S., Schmidt, R., Walters, M., Chen, W.M., Ringelstein, E.B., O'Donnell, M., Ho, W.K., Pera, J., Lemmens, R., Norrving, B., Higgins, P., Benn, M., Sale, M., Kuhlenbäumer, G., Doney, A.S., Vicente, A.M., Delavaran, H., Algra, A., Davies, G., Oliveira, S.A., Palmer, C.N., Deary, I., Schmidt, H., Pandolfo, M., Montaner, J., Carty, C., de Bakker, P.I., Kostulas, K., Ferro, J.M., van Zuydam, N.R, Valdimarsson, E., Nordestgaard, B.G., Lindgren, A., Thijs, V., Slowik, A., Saleheen, D., Paré, G., Berger, K., Thorleifsson, G., Australian Stroke Genetics Collaborative, Wellcome Trust Case Control Consortium 2 (WTCCC2), Hofman, A., Mosley, T.H., Mitchell, B.D., Furie, K., Clarke, R., Levi, C., Seshadri, S., Gschwendtner, A., Boncoraglio, G.B., Sharma, P., Bis, J.C., Gretarsdottir, S., Psaty, B.M., Rothwell, P.M., Rosand, J., Meschia, J.F., Stefansson, K., Dichgans, M., Markus, H.S., International Stroke Genetics Consortium.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.18/1472
• topic: Doenças Cardio e Cérebro-vasculares

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.