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A genome-wide association study of brain lesion distribution in multiple sclerosis.

Authors :
Gourraud, Pierre-Antoine
Gourraud, Pierre-Antoine
Sdika, Michael
Khankhanian, Pouya
Henry, Roland G
Beheshtian, Azadeh
Matthews, Paul M
Hauser, Stephen L
Oksenberg, Jorge R
Pelletier, Daniel
Baranzini, Sergio E
Gourraud, Pierre-Antoine
Gourraud, Pierre-Antoine
Sdika, Michael
Khankhanian, Pouya
Henry, Roland G
Beheshtian, Azadeh
Matthews, Paul M
Hauser, Stephen L
Oksenberg, Jorge R
Pelletier, Daniel
Baranzini, Sergio E
Source :
Brain : a journal of neurology; vol 136, iss Pt 4, 1012-1024; 0006-8950
Publication Year :
2013

Abstract

Brain magnetic resonance imaging is widely used as a diagnostic and monitoring tool in multiple sclerosis and provides a non-invasive, sensitive and reproducible way to track the disease. Topological characteristics relating to the distribution and shape of lesions are recognized as important neuroradiological markers in the diagnosis of multiple sclerosis, although these have been much less well characterized quantitatively than have traditional measures such as T2 hyperintense or T1 hypointense lesion volumes. Here, we used voxel-level 3 T magnetic resonance imaging T1-weighted scans to reconstruct the 3D topology of lesions in 284 subjects with multiple sclerosis and tested whether this is a heritable phenotype. To this end, we extracted the genotypes from a published genome-wide association study on these same individuals and searched for genetic associations with lesion load, shape and topological distribution. Lesion probability maps were created to identify frequently affected areas and to assess the overall distribution of T1 lesions in the subject population as a whole. We then developed an original algorithm to cluster adjacent lesional voxels (cluxels) in each subject and tested whether cluxel topology was significantly associated with any single-nucleotide polymorphism in our data set. To focus on patterns of lesion distribution, we computed the first 10 principal components. Although principal component 1 correlated with lesion load, none of the remaining orthogonal components correlated with any other known variable. We then conducted genome-wide association studies on each of these and found 31 significant associations (false discovery rate <0.01) with principal component 8, which represents a mode of variation of lesion topology in the population. The majority of the loci can be linked to genes related to immune cell function and to myelin and neural growth; some (SYK, MYT1L, TRAPPC9, SLITKR6 and RIC3) have been previously associated with the dist

Details

Database :
OAIster
Journal :
Brain : a journal of neurology; vol 136, iss Pt 4, 1012-1024; 0006-8950
Notes :
Brain : a journal of neurology vol 136, iss Pt 4, 1012-1024 0006-8950
Publication Type :
Electronic Resource
Accession number :
edsoai.on1287305046
Document Type :
Electronic Resource