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Stroke DOI:10.1161/STROKEAHA.113.004461

Genome-wide genotyping demonstrates a polygenic risk score associated with white matter hyperintensity volume in CADASIL.

Publication TypeJournal Article
Year of Publication2014
AuthorsOpherk, C, Gonik, M, Duering, M, Malik, R, Jouvent, E, Hervé, D, Adib-Samii, P, Bevan, S, Pianese, L, Silvestri, S, Dotti, MTeresa, De Stefano, N, Liem, M, Boon, EMJ, Pescini, F, Pachai, C, Bracoud, L, Müller-Myhsok, B, Meitinger, T, Rost, N, Pantoni, L, Oberstein, SLesnik, Federico, A, Ragno, M, Markus, HS, Tournier-Lasserve, E, Rosand, J, Chabriat, H, Dichgans, M
JournalStroke
Volume45
Issue4
Pages968-72
Date Published2014 Apr
ISSN1524-4628
KeywordsAdult, Aged, CADASIL, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Leukoencephalopathies, Magnetic Resonance Imaging, Male, Middle Aged, Models, Genetic, Quantitative Trait Loci, Risk Factors
Abstract

BACKGROUND AND PURPOSE: White matter hyperintensities (WMH) on MRI are a quantitative marker for sporadic cerebral small vessel disease and are highly heritable. To date, large-scale genetic studies have identified only a single locus influencing WMH burden. This might in part relate to biological heterogeneity of sporadic WMH. The current study searched for genetic modifiers of WMH volume in cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), a monogenic small vessel disease.

METHODS: We performed a genome-wide association study to identify quantitative trait loci for WMH volume by combining data from 517 CADASIL patients collected through 7 centers across Europe. WMH volumes were centrally analyzed and quantified on fluid attenuated inversion recovery images. Genotyping was performed using the Affymetrix 6.0 platform. Individuals were assigned to 2 distinct genetic clusters (cluster 1 and cluster 2) based on their genetic background.

RESULTS: Four hundred sixty-six patients entered the final genome-wide association study analysis. The phenotypic variance of WMH burden in CADASIL explained by all single nucleotide polymorphisms in cluster 1 was 0.85 (SE=0.21), suggesting a substantial genetic contribution. Using cluster 1 as derivation and cluster 2 as a validation sample, a polygenic score was significantly associated with WMH burden (P=0.001) after correction for age, sex, and vascular risk factors. No single nucleotide polymorphism reached genome-wide significance.

CONCLUSIONS: We found a polygenic score to be associated with WMH volume in CADASIL subjects. Our findings suggest that multiple variants with small effects influence WMH burden in CADASIL. The identification of these variants and the biological pathways involved will provide insights into the pathophysiology of white matter disease in CADASIL and possibly small vessel disease in general.

URLhttp://stroke.ahajournals.org/cgi/pmidlookup?view=long&pmid=24578207
DOI10.1161/STROKEAHA.113.004461
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/24578207?dopt=Abstract

Alternate JournalStroke
PubMed ID24578207
Grant ListG0900295 / / Medical Research Council / United Kingdom
5P50NS051343 / NS / NINDS NIH HHS / United States
R01NS059727 / NS / NINDS NIH HHS / United States