Ontology highlight
ABSTRACT:
SUBMITTER: Cheng YC
PROVIDER: S-EPMC4729659 | biostudies-literature | 2016 Feb
REPOSITORIES: biostudies-literature
Cheng Yu-Ching YC Stanne Tara M TM Giese Anne-Katrin AK Ho Weang Kee WK Traylor Matthew M Amouyel Philippe P Holliday Elizabeth G EG Malik Rainer R Xu Huichun H Kittner Steven J SJ Cole John W JW O'Connell Jeffrey R JR Danesh John J Rasheed Asif A Zhao Wei W Engelter Stefan S Grond-Ginsbach Caspar C Kamatani Yoichiro Y Lathrop Mark M Leys Didier D Thijs Vincent V Metso Tiina M TM Tatlisumak Turgut T Pezzini Alessandro A Parati Eugenio A EA Norrving Bo B Bevan Steve S Rothwell Peter M PM Sudlow Cathie C Slowik Agnieszka A Lindgren Arne A Walters Matthew R MR Jannes Jim J Shen Jess J Crosslin David D Doheny Kimberly K Laurie Cathy C CC Kanse Sandip M SM Bis Joshua C JC Fornage Myriam M Mosley Thomas H TH Hopewell Jemma C JC Strauch Konstantin K Müller-Nurasyid Martina M Gieger Christian C Waldenberger Melanie M Peters Annette A Meisinger Christine C Ikram M Arfan MA Longstreth W T WT Meschia James F JF Seshadri Sudha S Sharma Pankaj P Worrall Bradford B Jern Christina C Levi Christopher C Dichgans Martin M Boncoraglio Giorgio B GB Markus Hugh S HS Debette Stephanie S Rolfs Arndt A Saleheen Danish D Mitchell Braxton D BD
Stroke 20160105 2
<h4>Background and purpose</h4>Although a genetic contribution to ischemic stroke is well recognized, only a handful of stroke loci have been identified by large-scale genetic association studies to date. Hypothesizing that genetic effects might be stronger for early- versus late-onset stroke, we conducted a 2-stage meta-analysis of genome-wide association studies, focusing on stroke cases with an age of onset <60 years.<h4>Methods</h4>The discovery stage of our genome-wide association studies i ...[more]