| Literature DB >> 31587654 |
Nuria P Torres-Aguila1,2, Caty Carrera2, Anne-Katrine Giese3, Natalia Cullell4, Elena Muiño1, Jara Cárcel-Márquez1, Cristina Gallego-Fabrega1,4, Jonathan González-Sánchez1,4,5, María Del Mar Freijo6, José Álvarez-Sabín7, Carlos Molina7, Marc Ribó7, Jordi Jimenez-Conde8,9,10, Jaume Roquer8,9,10, Tomás Sobrino11, Francisco Campos11, José Castillo11, Lucia Muñoz-Narbona12, Elena Lopez-Cancio13, Antoni Dàvalos12, Rosa Diaz-Navarro14, Silvia Tur14, Cristòfol Vives-Bauza14, Gemma Serrano-Heras15, Tomás Segura15, Jerzy Krupinski5,16, Raquel Delgado-Mederos17, Joan Martí-Fàbregas17, Laura Heitsch18,19, Laura Ibañez20, Carlos Cruchaga20, Natalia S Rost3, Joan Montaner2,21,22, Jin-Moo Lee19, Israel Fernandez-Cadenas1.
Abstract
Background and Purpose- Immune cells play a key role in the first 24h poststroke (acute phase), being associated with stroke outcome. We aimed to find genetic risk factors associated with leukocyte counts during the acute phase of stroke. Methods- Ischemic stroke patients with leukocyte counts data during the first 24h were included. Genome-wide association study and gene expression studies were performed. Results- Our genome-wide association study, which included 2064 (Discovery) and 407 (Replication) patients, revealed a new locus (14q24.3) associated with leukocyte counts. After Joint analysis (n=2471) 5 more polymorphisms reached genome-wide significance (P<5×10-8). The 14q24.3 locus was associated with acute stroke outcome (rs112809786, P=0.036) and with ACOT1 and PTGR2 gene expression. Previous polymorphisms associated with leukocyte counts in general-population did not show any significance in our study. Conclusions- We have found the first locus associated with leukocyte counts in ischemic stroke, also associated with acute outcome. Genetic analysis of acute endophenotypes could be useful to find the genetic factors associated with stroke outcome. Our findings suggested a different modulation of immune cells in stroke compared with healthy conditions.Entities:
Keywords: genome-wide association study; humans; leukocytes; risk factors; stroke
Year: 2019 PMID: 31587654 PMCID: PMC6878188 DOI: 10.1161/STROKEAHA.119.026593
Source DB: PubMed Journal: Stroke ISSN: 0039-2499 Impact factor: 7.914