Literature DB >> 18401352

EVI5 is a risk gene for multiple sclerosis.

I A Hoppenbrouwers1, Y S Aulchenko, G C Ebers, S V Ramagopalan, B A Oostra, C M van Duijn, R Q Hintzen.   

Abstract

HLA-DRB1 is the major locus associated with risk for multiple sclerosis (MS). A recent genome-wide study showed three additional single-nucleotide polymorphisms (SNPs), within the IL2RA and IL7RA genes respectively, also to be associated with MS. Consistent association but lower significance was found for 13 other SNPs. In this study, we aimed to verify association of these SNPs with MS in 46 MS patients and 194 controls from a Dutch genetically isolated population. Apart from the human leukocyte antigen locus, the EVI5 gene on chromosome 1 was confirmed as a novel risk gene, with odds ratios (ORs) even higher than those from the MS Consortium (ORs 2.01 and 1.9; P=0.01). The risk effect of EVI5 was further validated for the general MS population in an independent set of 1318 MS patients from the Canadian Collaborative Project on the Genetic Susceptibility to MS. On the basis of the transmission disequilibrium testing, a weak but significant risk effect was observed (OR 1.15; P=0.03 and OR 1.15; P=0.04). This study confirms EVI5 as another risk locus for MS; however, much of the genetic basis of MS remains unidentified.

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Year:  2008        PMID: 18401352     DOI: 10.1038/gene.2008.22

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  30 in total

1.  A non-synonymous single-nucleotide polymorphism associated with multiple sclerosis risk affects the EVI5 interactome.

Authors:  Alessandro Didonna; Noriko Isobe; Stacy J Caillier; Kathy H Li; Alma L Burlingame; Stephen L Hauser; Sergio E Baranzini; Nikolaos A Patsopoulos; Jorge R Oksenberg
Journal:  Hum Mol Genet       Date:  2015-10-03       Impact factor: 6.150

Review 2.  Type 1 diabetes mellitus and multiple sclerosis: common etiological features.

Authors:  Adam E Handel; Lahiru Handunnetthi; George C Ebers; Sreeram V Ramagopalan
Journal:  Nat Rev Endocrinol       Date:  2009-11-03       Impact factor: 43.330

3.  Breakdown of multiple sclerosis genetics to identify an integrated disease network and potential variant mechanisms.

Authors:  C Joy Shepard; Sara G Cline; David Hinds; Seyedehameneh Jahanbakhsh; Jeremy W Prokop
Journal:  Physiol Genomics       Date:  2019-09-04       Impact factor: 3.107

4.  Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility.

Authors: 
Journal:  Science       Date:  2019-09-27       Impact factor: 47.728

5.  Genome-wide CTCF distribution in vertebrates defines equivalent sites that aid the identification of disease-associated genes.

Authors:  David Martin; Cristina Pantoja; Ana Fernández Miñán; Christian Valdes-Quezada; Eduardo Moltó; Fuencisla Matesanz; Ozren Bogdanović; Elisa de la Calle-Mustienes; Orlando Domínguez; Leila Taher; Mayra Furlan-Magaril; Antonio Alcina; Susana Cañón; María Fedetz; María A Blasco; Paulo S Pereira; Ivan Ovcharenko; Félix Recillas-Targa; Lluís Montoliu; Miguel Manzanares; Roderic Guigó; Manuel Serrano; Fernando Casares; José Luis Gómez-Skarmeta
Journal:  Nat Struct Mol Biol       Date:  2011-05-22       Impact factor: 15.369

6.  Tag-SNP analysis of the GFI1-EVI5-RPL5-FAM69 risk locus for multiple sclerosis.

Authors:  Antonio Alcina; Oscar Fernández; Juan Ramón Gonzalez; Antonio Catalá-Rabasa; María Fedetz; Dorothy Ndagire; Laura Leyva; Miguel Guerrero; Carmen Arnal; Concepción Delgado; Miguel Lucas; Guillermo Izquierdo; Fuencisla Matesanz
Journal:  Eur J Hum Genet       Date:  2010-01-20       Impact factor: 4.246

7.  Hexose-6-phosphate dehydrogenase: a new risk gene for multiple sclerosis.

Authors:  Antonio Alcina; Sreeram V Ramagopalan; Oscar Fernández; Antonio Catalá-Rabasa; María Fedetz; Dorothy Ndagire; Laura Leyva; Carmen Arnal; Concepción Delgado; Miguel Lucas; Guillermo Izquierdo; George C Ebers; Fuencisla Matesanz
Journal:  Eur J Hum Genet       Date:  2009-11-25       Impact factor: 4.246

8.  An extension to a statistical approach for family based association studies provides insights into genetic risk factors for multiple sclerosis in the HLA-DRB1 gene.

Authors:  Sreeram V Ramagopalan; Roisin McMahon; David A Dyment; A Dessa Sadovnick; George C Ebers; Knut M Wittkowski
Journal:  BMC Med Genet       Date:  2009-02-04       Impact factor: 2.103

9.  Alternative splicing and transcriptome profiling of experimental autoimmune encephalomyelitis using genome-wide exon arrays.

Authors:  Alan Gillett; Klio Maratou; Chris Fewings; Robert A Harris; Maja Jagodic; Tim Aitman; Tomas Olsson
Journal:  PLoS One       Date:  2009-11-10       Impact factor: 3.240

10.  Multiple sclerosis susceptibility alleles in African Americans.

Authors:  B A Johnson; J Wang; E M Taylor; S J Caillier; J Herbert; O A Khan; A H Cross; P L De Jager; P-A F Gourraud; B C A Cree; S L Hauser; J R Oksenberg
Journal:  Genes Immun       Date:  2009-10-29       Impact factor: 2.676

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