Literature DB >> 12618863

Pharmacogenomic analysis of interferon receptor polymorphisms in multiple sclerosis.

U Sriram1, L F Barcellos, P Villoslada, J Rio, S E Baranzini, S Caillier, A Stillman, S L Hauser, X Montalban, J R Oksenberg.   

Abstract

Multiple sclerosis (MS) is a common inflammatory disease of the central nervous system characterized by progressive neurological dysfunction. No curative therapy is currently available, and approximately 80-90% of afflicted individuals are ultimately disabled. Interferon beta (IFNbeta) has been shown to decrease clinical relapses, reduce brain disease activity, and possibly slow progression of disability. However, the overall effect of treatment is partial and a substantial number of patients are considered poor or nonresponders. For this report, we tested the pharmacogenomic effects of eight polymorphisms in the interferon receptor genes (IFNAR1 and IFNAR2) in a group of 147 patients undergoing open-label IFNbeta therapy. Overall, no significant differences in the distribution of responders and nonresponders, classified based on prospectively acquired primary and secondary clinical end points, were observed when stratified by any of the studied IFNAR gene polymorphisms. A trend detected with a single nucleotide polymorphism SNP 16469 (A/T) located at the third intron of the IFNAR1 gene, suggesting modest association with relapse-free status, will require confirmation in an independent data set. In addition, no significant association was observed of any of the IFNAR gene polymorphisms with susceptibility to MS, as studied by a family-based association analysis.

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Year:  2003        PMID: 12618863     DOI: 10.1038/sj.gene.6363946

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


  8 in total

Review 1.  Determinants of interferon β efficacy in patients with multiple sclerosis.

Authors:  Joep Killestein; Chris H Polman
Journal:  Nat Rev Neurol       Date:  2011-03-01       Impact factor: 42.937

2.  Genetic polymorphisms, their allele combinations and IFN-beta treatment response in Irish multiple sclerosis patients.

Authors:  Catherine O'Doherty; Alexander Favorov; Shirley Heggarty; Colin Graham; Olga Favorova; Michael Ochs; Stanley Hawkins; Michael Hutchinson; Killian O'Rourke; Koen Vandenbroeck
Journal:  Pharmacogenomics       Date:  2009-07       Impact factor: 2.533

Review 3.  Predicting responders to therapies for multiple sclerosis.

Authors:  Jordi Río; Manuel Comabella; Xavier Montalban
Journal:  Nat Rev Neurol       Date:  2009-10       Impact factor: 42.937

4.  Pharmacogenetic Predictors of Response to Interferon Beta Therapy in Multiple Sclerosis.

Authors:  María Isabel Carrasco-Campos; Cristina Pérez-Ramírez; Elena Macías-Cortés; Elena Puerta-García; Antonio Sánchez-Pozo; Carmen Arnal-García; Francisco Javier Barrero-Hernández; Miguel Ángel Calleja-Hernández; Alberto Jiménez-Morales; Marisa Cañadas-Garre
Journal:  Mol Neurobiol       Date:  2021-06-24       Impact factor: 5.590

5.  Candidate gene study of TRAIL and TRAIL receptors: association with response to interferon beta therapy in multiple sclerosis patients.

Authors:  Carlos López-Gómez; Almudena Pino-Ángeles; Teresa Órpez-Zafra; María Jesús Pinto-Medel; Begoña Oliver-Martos; Jesús Ortega-Pinazo; Carlos Arnáiz; Cristina Guijarro-Castro; Jezabel Varadé; Roberto Álvarez-Lafuente; Elena Urcelay; Francisca Sánchez-Jiménez; Óscar Fernández; Laura Leyva
Journal:  PLoS One       Date:  2013-04-29       Impact factor: 3.240

6.  Transcription-based prediction of response to IFNbeta using supervised computational methods.

Authors:  Sergio E Baranzini; Parvin Mousavi; Jordi Rio; Stacy J Caillier; Althea Stillman; Pablo Villoslada; Matthew M Wyatt; Manuel Comabella; Larry D Greller; Roland Somogyi; Xavier Montalban; Jorge R Oksenberg
Journal:  PLoS Biol       Date:  2004-12-28       Impact factor: 8.029

Review 7.  Pharmacogenetic Biomarkers to Predict Treatment Response in Multiple Sclerosis: Current and Future Perspectives.

Authors:  Patricia K Coyle
Journal:  Mult Scler Int       Date:  2017-07-19

Review 8.  Pharmacogenomics of Multiple Sclerosis: A Systematic Review.

Authors:  Keli Hočevar; Smiljana Ristić; Borut Peterlin
Journal:  Front Neurol       Date:  2019-02-26       Impact factor: 4.003

  8 in total

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