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Genome-Wide Association Study of White Blood Cell Counts in Patients With Ischemic Stroke

Authors: Torres-Aguila, Nuria P; Carrera, Caty; Giese, Anne-Katrine; Cullell, Natalia; Muiño, Elena; Cárcel-Márquez, Jara; Gallego-Fabrega, Cristina; +28 Authors

Genome-Wide Association Study of White Blood Cell Counts in Patients With Ischemic Stroke

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.

Keywords

Male, Genome-wide association study, leukocytes, Genome-wide association studies, Polymorphism, Single Nucleotide, Brain Ischemia, Leukocyte Count, Leukocytes, risk factors, Humans, humans, Aged, Aged, 80 and over, Chromosomes, Human, Pair 14, genome-wide association study, Middle Aged, Prognosis, stroke, Stroke, Risk factors, Female, Genome-Wide Association Study

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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