Literature DB >> 21436341

Genetic correlations of brain lesion distribution in multiple sclerosis: an exploratory study.

M H Sombekke1, M M Vellinga, B M J Uitdehaag, F Barkhof, C H Polman, D Arteta, D Tejedor, A Martinez, J B A Crusius, A S Peña, J J G Geurts, H Vrenken.   

Abstract

BACKGROUND AND
PURPOSE: In MS, the total brain lesion volume and spatial distribution of lesions across the brain vary widely among individual patients. We hypothesized that spatial distribution may be partially driven by genetic predisposition, and we aimed to explore relations among candidate genes and the spatial distribution of white matter brain lesions in MS.
MATERIAL AND METHODS: Genotypes of 69 SNPs in 208 patients with MS were related to the spatial distribution of T2 brain lesions. Lesions were manually outlined on MR images, and binary lesion masks were produced and registered to a common space. With Randomise software, the lesion masks were related to genotype by using a voxelwise nonparametric GLM approach, followed by clusterwise analysis. We used a DNA chip with SNPs selected from the literature on MS susceptibility, severity, and phenotypes.
RESULTS: For 11 of these SNPs, 1 of the genotypes expressed significant clusters of increased or decreased lesion probability in varying, predominantly periventricular, brain regions. When we statistically controlled the voxelwise analyses for effects of total brain lesion volume, only 1 SNP remained significant: rs2227139, located within the MHC class II region. This SNP retained its periventricular cluster of significantly increased lesion probability for the heterozygote genotype.
CONCLUSIONS: Heterozygosity of rs2227139 (MHC class II region) is associated with increased right frontal periventricular lesion probability (P<.01). Ten other SNPs showed associations between genotype and spatial lesion distribution that are partly explained by total lesion volume.

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Year:  2011        PMID: 21436341      PMCID: PMC7965886          DOI: 10.3174/ajnr.A2352

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  46 in total

1.  [Alpha]B-crystallin genotype has impact on the multiple sclerosis phenotype.

Authors:  T van Veen; L van Winsen; J B A Crusius; N F Kalkers; F Barkhof; A S Peña; C H Polman; B M J Uitdehaag
Journal:  Neurology       Date:  2003-11-11       Impact factor: 9.910

2.  CCL5 and CCR5 genotypes modify clinical, radiological and pathological features of multiple sclerosis.

Authors:  Tineke van Veen; Jessica Nielsen; Johannes Berkhof; Frederik Barkhof; Wouter Kamphorst; Lars Bö; Rivka Ravid; Cor L Verweij; Inge Huitinga; Chris H Polman; Bernard M J Uitdehaag
Journal:  J Neuroimmunol       Date:  2007-09-19       Impact factor: 3.478

Review 3.  A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM).

Authors:  J C Mazziotta; A W Toga; A Evans; P Fox; J Lancaster
Journal:  Neuroimage       Date:  1995-06       Impact factor: 6.556

4.  A predominant role for the HLA class II region in the association of the MHC region with multiple sclerosis.

Authors:  Matthew R Lincoln; Alexandre Montpetit; M Zameel Cader; Janna Saarela; David A Dyment; Milvi Tiislar; Vincent Ferretti; Pentti J Tienari; A Dessa Sadovnick; Leena Peltonen; George C Ebers; Thomas J Hudson
Journal:  Nat Genet       Date:  2005-09-25       Impact factor: 38.330

5.  New diagnostic criteria for multiple sclerosis: guidelines for research protocols.

Authors:  C M Poser; D W Paty; L Scheinberg; W I McDonald; F A Davis; G C Ebers; K P Johnson; W A Sibley; D H Silberberg; W W Tourtellotte
Journal:  Ann Neurol       Date:  1983-03       Impact factor: 10.422

6.  HLA-DRB1*1501 and spinal cord magnetic resonance imaging lesions in multiple sclerosis.

Authors:  Madeleine H Sombekke; Carsten Lukas; J Bart A Crusius; Diego Tejedor; Joep Killestein; David Arteta; Antonio Martínez; Bernard M J Uitdehaag; Dirk L Knol; A Salvador Peña; Jeroen J G Geurts; Philip L De Jager; Frederik Barkhof; Hugo Vrenken; Chris H Polman
Journal:  Arch Neurol       Date:  2009-12

7.  HLA genotypes and disease severity assessed by magnetic resonance imaging findings in patients with multiple sclerosis.

Authors:  Robert Zivadinov; Laura Uxa; Tullio Zacchi; Davide Nasuelli; Maja Ukmar; Christina Furlan; Roberto Pozzi-Mucelli; Maria Antonietta Tommasi; Laura Locatelli; Sheila Ulivi; Alessio Bratina; Antonio Bosco; Attillio Grop; Giuseppe Cazzato; Marino Zorzon
Journal:  J Neurol       Date:  2003-09       Impact factor: 4.849

8.  Risk alleles for multiple sclerosis identified by a genomewide study.

Authors:  David A Hafler; Alastair Compston; Stephen Sawcer; Eric S Lander; Mark J Daly; Philip L De Jager; Paul I W de Bakker; Stacey B Gabriel; Daniel B Mirel; Adrian J Ivinson; Margaret A Pericak-Vance; Simon G Gregory; John D Rioux; Jacob L McCauley; Jonathan L Haines; Lisa F Barcellos; Bruce Cree; Jorge R Oksenberg; Stephen L Hauser
Journal:  N Engl J Med       Date:  2007-07-29       Impact factor: 91.245

9.  HLA-DRB1*1501, -DQB1*0301, -DQB1*0302, -DQB1*0602, and -DQB1*0603 alleles are associated with more severe disease outcome on MRI in patients with multiple sclerosis.

Authors:  Robert Zivadinov; Laura Uxa; Alessio Bratina; Antonio Bosco; Bhooma Srinivasaraghavan; Alireza Minagar; Maja Ukmar; Su yen Benedetto; Marino Zorzon
Journal:  Int Rev Neurobiol       Date:  2007       Impact factor: 3.230

10.  Clinical correlations of brain lesion distribution in multiple sclerosis.

Authors:  M M Vellinga; J J G Geurts; E Rostrup; B M J Uitdehaag; C H Polman; F Barkhof; H Vrenken
Journal:  J Magn Reson Imaging       Date:  2009-04       Impact factor: 4.813

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  3 in total

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

Authors:  Pierre-Antoine Gourraud; Michael Sdika; Pouya Khankhanian; Roland G Henry; Azadeh Beheshtian; Paul M Matthews; Stephen L Hauser; Jorge R Oksenberg; Daniel Pelletier; Sergio E Baranzini
Journal:  Brain       Date:  2013-02-13       Impact factor: 13.501

2.  CEST MRI and MALDI imaging reveal metabolic alterations in the cervical lymph nodes of EAE mice.

Authors:  Aline M Thomas; Ethan Yang; Matthew D Smith; Chengyan Chu; Peter A Calabresi; Kristine Glunde; Peter C M van Zijl; Jeff W M Bulte
Journal:  J Neuroinflammation       Date:  2022-06-03       Impact factor: 9.587

3.  Relevance of brain lesion location to cognition in relapsing multiple sclerosis.

Authors:  Francesca Rossi; Antonio Giorgio; Marco Battaglini; Maria Laura Stromillo; Emilio Portaccio; Benedetta Goretti; Antonio Federico; Bahia Hakiki; Maria Pia Amato; Nicola De Stefano
Journal:  PLoS One       Date:  2012-11-05       Impact factor: 3.240

  3 in total

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