title: Genetic associations with brain cortical thickness in multiple sclerosis.
abstract: Multiple sclerosis (MS) is characterized by temporal and spatial dissemination of demyelinating lesions in the central nervous system. Associated neurodegenerative changes contributing to disability have been recognized even at early disease stages. Recent studies show the importance of gray matter damage for the accrual of clinical disability rather than white matter where demyelination is easily visualized by magnetic resonance imaging (MRI). The susceptibility to MS is influenced by genetic risk, but genetic factors associated with the disability are not known. We used MRI data to determine cortical thickness in 557 MS cases and 75 controls and in another cohort of 219 cases. We identified nine areas showing different thickness between cases and controls (regions of interest, ROI) (eight of them were negatively correlated with Kurtzke's expanded disability status scale, EDSS) and conducted genome-wide association studies (GWAS) in 464 and 211 cases available from the two data sets. No marker exceeded genome-wide significance in the discovery cohort. We next combined nominal statistical evidence of association with physical evidence of interaction from a curated human protein interaction network, and searched for subnetworks enriched with nominally associated genes and for commonalities between the two data sets. This network-based pathway analysis of GWAS detected gene sets involved in glutamate signaling, neural development and an adjustment of intracellular calcium concentration. We report here for the first time gene sets associated with cortical thinning of MS. These genes are potentially correlated with disability of MS.
authors: Department of Neurology, University of California, San Francisco, CA, USA.
authors: T
authors: T
authors: Matsushita
authors: L
authors: L
authors: Madireddy
authors: T
authors: T
authors: Sprenger
authors: P
authors: P
authors: Khankhanian
authors: S
authors: S
authors: Magon
authors: Y
authors: Y
authors: Naegelin
authors: E
authors: E
authors: Caverzasi
authors: R L P
authors: RL
authors: Lindberg
authors: L
authors: L
authors: Kappos
authors: S L
authors: SL
authors: Hauser
authors: J R
authors: JR
authors: Oksenberg
authors: R
authors: R
authors: Henry
authors: D
authors: D
authors: Pelletier
authors: S E
authors: SE
authors: Baranzini
mesh_terms: D000328:Adult; D000368:Aged; D001921:Brain / Q000378:metabolism* / Q000473:pathology*; D002118:Calcium / Q000378:metabolism; D005260:Female; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D009103:Multiple Sclerosis / Q000235:genetics*; D009415:Nerve Net / Q000473:pathology
chemical_list: D002118:Calcium
keywords: Brain; GWAS; MRI; SNP; cortical thickness; data integration; genetics; multiple sclerosis; networks; protein interactome