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Genetic architecture of white matter hyperintensities differs in hypertensive and nonhypertensive ischemic stroke.

Authors :
Adib-Samii P
Devan W
Traylor M
Lanfranconi S
Zhang CR
Cloonan L
Falcone GJ
Radmanesh F
Fitzpatrick K
Kanakis A
Rothwell PM
Sudlow C
Boncoraglio GB
Meschia JF
Levi C
Dichgans M
Bevan S
Rosand J
Rost NS
Markus HS
Source :
Stroke [Stroke] 2015 Feb; Vol. 46 (2), pp. 348-53. Date of Electronic Publication: 2014 Dec 30.
Publication Year :
2015

Abstract

Background and Purpose: Epidemiological studies suggest that white matter hyperintensities (WMH) are extremely heritable, but the underlying genetic variants are largely unknown. Pathophysiological heterogeneity is known to reduce the power of genome-wide association studies (GWAS). Hypertensive and nonhypertensive individuals with WMH might have different underlying pathologies. We used GWAS data to calculate the variance in WMH volume (WMHV) explained by common single nucleotide polymorphisms (SNPs) as a measure of heritability (SNP heritability [HSNP]) and tested the hypothesis that WMH heritability differs between hypertensive and nonhypertensive individuals.<br />Methods: WMHV was measured on MRI in the stroke-free cerebral hemisphere of 2336 ischemic stroke cases with GWAS data. After adjustment for age and intracranial volume, we determined which cardiovascular risk factors were independent predictors of WMHV. Using the genome-wide complex trait analysis tool to estimate HSNP for WMHV overall and within subgroups stratified by risk factors found to be significant in multivariate analyses.<br />Results: A significant proportion of the variance of WMHV was attributable to common SNPs after adjustment for significant risk factors (HSNP=0.23; P=0.0026). HSNP estimates were higher among hypertensive individuals (HSNP=0.45; P=7.99×10(-5)); this increase was greater than expected by chance (P=0.012). In contrast, estimates were lower, and nonsignificant, in nonhypertensive individuals (HSNP=0.13; P=0.13).<br />Conclusions: A quarter of variance is attributable to common SNPs, but this estimate was greater in hypertensive individuals. These findings suggest that the genetic architecture of WMH in ischemic stroke differs between hypertensives and nonhypertensives. Future WMHV GWAS studies may gain power by accounting for this interaction.<br /> (© 2014 The Authors. Published on behalf of the American Heart Association, Inc., by Wolters Kluwer.)

Details

Language :
English
ISSN :
1524-4628
Volume :
46
Issue :
2
Database :
MEDLINE
Journal :
Stroke
Publication Type :
Academic Journal
Accession number :
25550368
Full Text :
https://doi.org/10.1161/STROKEAHA.114.006849