Literature DB >> 11880159

Identifying disease modifying genes in multiple sclerosis.

Orhun H Kantarci1, Mariza de Andrade, Brian G Weinshenker.   

Abstract

Evidence is mounting that genetic variation influences not only susceptibility to multiple sclerosis (MS), but also its course and severity. Identification of disease modifying genes, however, poses unique challenges, especially on how to classify the course and outcome of the disease in ways that may be relevant to analysis of biological factors that might be influenced by genes. The power of the statistical approaches to detect small effects of individual genes in complex disorders such as MS is problematic, and approaches to estimate power must be appropriate for the data. Nonetheless, using contemporary schemes of classification, genetic variants that influence disease course have been found; in fact, a small number have been confirmed to influence disease course in two or more independent studies. This review addresses strategies relevant to identification of disease modifying genes in MS, and summarizes and critically evaluates the current state of knowledge in this area.

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Year:  2002        PMID: 11880159     DOI: 10.1016/s0165-5728(01)00481-7

Source DB:  PubMed          Journal:  J Neuroimmunol        ISSN: 0165-5728            Impact factor:   3.478


  17 in total

1.  Analysing the effect of candidate genes on complex traits: an application in multiple sclerosis.

Authors:  Tineke Hooper-van Veen; Johannes Berkhof; Chris H Polman; Bernard M J Uitdehaag
Journal:  Immunogenetics       Date:  2006-04-13       Impact factor: 2.846

2.  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

3.  Allelic variation in the Tyk2 and EGF genes as potential genetic determinants of CNS repair.

Authors:  Allan J Bieber; Kanitta Suwansrinon; Jason Kerkvliet; Weidong Zhang; Larry R Pease; Moses Rodriguez
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-22       Impact factor: 11.205

4.  Interleukin-1B and interleukin-1 receptor antagonist gene polymorphisms in Greek multiple sclerosis (MS) patients with bout-onset MS.

Authors:  Konstantinos Aggelakis; Fani Zacharaki; Efthimios Dardiotis; Georgia Xiromerisiou; Vana Tsimourtou; Styliani Ralli; Maria Gkaraveli; Dimitris Bourpoulas; Paraskevi Rodopoulou; Alexandros Papadimitriou; Georgios Hadjigeorgiou
Journal:  Neurol Sci       Date:  2009-10-30       Impact factor: 3.307

5.  HLA-DR2 dose effect on susceptibility to multiple sclerosis and influence on disease course.

Authors:  L F Barcellos; J R Oksenberg; A B Begovich; E R Martin; S Schmidt; E Vittinghoff; D S Goodin; D Pelletier; R R Lincoln; P Bucher; A Swerdlin; M A Pericak-Vance; J L Haines; S L Hauser
Journal:  Am J Hum Genet       Date:  2003-01-28       Impact factor: 11.025

6.  CCL genes in multiple sclerosis and systemic lupus erythematosus.

Authors:  Tamara Vyshkina; Andrew Sylvester; Saud Sadiq; Eduardo Bonilla; Andras Perl; Bernadette Kalman
Journal:  J Neuroimmunol       Date:  2008-07-03       Impact factor: 3.478

7.  IL2RA/CD25 polymorphisms contribute to multiple sclerosis susceptibility.

Authors:  Fuencisla Matesanz; Alfredo Caro-Maldonado; Maria Fedetz; Oscar Fernández; Roger L Milne; Miguel Guerrero; Concepción Delgado; Antonio Alcina
Journal:  J Neurol       Date:  2007-04-10       Impact factor: 4.849

8.  The role of hereditary spastic paraplegia related genes in multiple sclerosis. A study of disease susceptibility and clinical outcome.

Authors:  G C DeLuca; S V Ramagopalan; M Z Cader; D A Dyment; B M Herrera; S Orton; A Degenhardt; M Pugliatti; A D Sadovnick; S Sotgiu; G C Ebers
Journal:  J Neurol       Date:  2007-04-10       Impact factor: 4.849

9.  Genotype-Phenotype correlations in multiple sclerosis: HLA genes influence disease severity inferred by 1HMR spectroscopy and MRI measures.

Authors:  D T Okuda; R Srinivasan; J R Oksenberg; D S Goodin; S E Baranzini; A Beheshtian; E Waubant; S S Zamvil; D Leppert; P Qualley; R Lincoln; R Gomez; S Caillier; M George; J Wang; S J Nelson; B A C Cree; S L Hauser; D Pelletier
Journal:  Brain       Date:  2008-11-20       Impact factor: 13.501

10.  Functional genomic analysis of remyelination reveals importance of inflammation in oligodendrocyte regeneration.

Authors:  Heather A Arnett; Ying Wang; Glenn K Matsushima; Kinuko Suzuki; Jenny P-Y Ting
Journal:  J Neurosci       Date:  2003-10-29       Impact factor: 6.167

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