Literature DB >> 15770496

Association of the HLA region with multiple sclerosis as confirmed by a genome screen using >10,000 SNPs on DNA chips.

René Gödde1, Klaus Rohde, Christian Becker, Mahammad R Toliat, Patricia Entz, Anita Suk, Norbert Müller, Eckhart Sindern, Michael Haupts, Sebastian Schimrigk, Peter Nürnberg, Jörg T Epplen.   

Abstract

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system, with a complex genetic background. Here, we present a genome screen for association in small scale, employing 11,555 single nucleotide polymorphisms (SNPs) on DNA chips for genotyping 100 MS patients stratified for HLA-DR2+ and 100 controls. More than 500 SNPs revealed significant differences between cases and controls before Bonferroni correction. A fraction of these SNPs was reanalysed in two additional cohorts of patients and controls, using high-throughput genotyping methods. A marker on chromosome 6p21.32 (rs2395182) yielded the highest significance level, validating the established HLA-DR association.

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Year:  2005        PMID: 15770496     DOI: 10.1007/s00109-005-0650-8

Source DB:  PubMed          Journal:  J Mol Med (Berl)        ISSN: 0946-2716            Impact factor:   4.599


  46 in total

1.  A high-throughput SNP typing system for genome-wide association studies.

Authors:  Y Ohnishi; T Tanaka; K Ozaki; R Yamada; H Suzuki; Y Nakamura
Journal:  J Hum Genet       Date:  2001       Impact factor: 3.172

2.  A meta-analysis of whole genome linkage screens in multiple sclerosis.

Authors: 
Journal:  J Neuroimmunol       Date:  2003-10       Impact factor: 3.478

3.  HapMap: building a database with blocks.

Authors:  Charles W Schmidt
Journal:  EHP Toxicogenomics       Date:  2003-01

4.  The usefulness of different density SNP maps for disease association studies of common variants.

Authors:  William Y S Wang; John A Todd
Journal:  Hum Mol Genet       Date:  2003-10-07       Impact factor: 6.150

5.  Genomics. Consensus emerges on HapMap strategy.

Authors:  Jennifer Couzin
Journal:  Science       Date:  2004-04-30       Impact factor: 47.728

Review 6.  Mapping complex disease loci in whole-genome association studies.

Authors:  Christopher S Carlson; Michael A Eberle; Leonid Kruglyak; Deborah A Nickerson
Journal:  Nature       Date:  2004-05-27       Impact factor: 49.962

Review 7.  Genetics of multiple sclerosis--how could disease-associated HLA-types contribute to pathogenesis?

Authors:  R Martin
Journal:  J Neural Transm Suppl       Date:  1997

8.  Genetic predisposition to multiple sclerosis as revealed by immunoprinting.

Authors:  C Epplen; S Jäckel; E J Santos; M D'Souza; D Poehlau; B Dotzauer; E Sindern; M Haupts; K P Rüde; F Weber; J Stöver; S Poser; W Gehler; J P Malin; H Przuntek; J T Epplen
Journal:  Ann Neurol       Date:  1997-03       Impact factor: 10.422

9.  Evidence of linkage with HLA-DR in DRB1*15-negative families with multiple sclerosis.

Authors:  A Ligers; D A Dyment; C J Willer; A D Sadovnick; G Ebers; N Risch; J Hillert
Journal:  Am J Hum Genet       Date:  2001-08-22       Impact factor: 11.025

Review 10.  Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease.

Authors:  David Botstein; Neil Risch
Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

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  5 in total

1.  No association between synapsin III gene promoter polymorphisms and multiple sclerosis in German patients.

Authors:  Denis A Akkad; René Gödde; Jörg T Epplen
Journal:  J Neurol       Date:  2006-09-13       Impact factor: 4.849

2.  Backward genotype-trait association (BGTA)-based dissection of complex traits in case-control designs.

Authors:  Tian Zheng; Hui Wang; Shaw-Hwa Lo
Journal:  Hum Hered       Date:  2006-11-15       Impact factor: 0.444

3.  Role of the MHC2TA gene in autoimmune diseases.

Authors:  Alfonso Martínez; Marta Sánchez-Lopez; Jezabel Varadé; Ana Mas; M Carmen Martín; Virginia de Las Heras; Rafael Arroyo; Juan Luis Mendoza; Manuel Díaz-Rubio; Benjamín Fernández-Gutiérrez; Emilio G de la Concha; Elena Urcelay
Journal:  Ann Rheum Dis       Date:  2006-09-29       Impact factor: 19.103

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

Authors:  M H Sombekke; 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
Journal:  AJNR Am J Neuroradiol       Date:  2011-03-24       Impact factor: 3.825

5.  Mutations of the puratrophin-1 (PLEKHG4) gene on chromosome 16q22.1 are not a common genetic cause of cerebellar ataxia in a European population.

Authors:  Stefan Wieczorek; Larissa Arning; Ingrid Alheite; Jörg T Epplen
Journal:  J Hum Genet       Date:  2006-02-21       Impact factor: 3.172

  5 in total

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