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Response to interferon-beta treatment in multiple sclerosis patients: a genome-wide association study
- Source :
- The Pharmacogenomics Journal. 17:312-318
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- Up to 50% of multiple sclerosis (MS) patients do not respond to interferon-beta (IFN-β) treatment and determination of response requires lengthy clinical follow-up of up to 2 years. Response predictive genetic markers would significantly improve disease management. We aimed to identify IFN-β treatment response genetic marker(s) by performing a two-stage genome-wide association study (GWAS). The GWAS was carried out using data from 151 Australian MS patients from the ANZgene/WTCCC2 MS susceptibility GWAS (responder (R)=51, intermediate responders=24 and non-responders (NR)=76). Of the single-nucleotide polymorphisms (SNP) that were validated in an independent group of 479 IFN-β-treated MS patients from Australia, Spain and Italy (R=273 and NR=206), eight showed evidence of association with treatment response. Among the replicated associations, the strongest was observed for FHIT (Fragile Histidine Triad; combined P-value 6.74 × 10-6) and followed by variants in GAPVD1 (GTPase activating protein and VPS9 domains 1; combined P-value 5.83 × 10-5) and near ZNF697 (combined P-value 8.15 × 10-5). Refereed/Peer-reviewed
- Subjects :
- Adult
Genetic Markers
Male
0301 basic medicine
Oncology
medicine.medical_specialty
Multiple Sclerosis
Genotype
Genomics
Genome-wide association study
Biology
multiple sclerosis
Bioinformatics
Polymorphism, Single Nucleotide
03 medical and health sciences
0302 clinical medicine
Genetic
FHIT
Internal medicine
Genetics
medicine
Humans
SNP
interferon-beta
Gene
Pharmacology
Multiple sclerosis
Australia
Interferon-beta
medicine.disease
030104 developmental biology
Italy
Spain
Genetic marker
genome-wide association
Female
Genome-Wide Association Study
Molecular Medicine
Settore MED/26 - Neurologia
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14731150 and 1470269X
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- The Pharmacogenomics Journal
- Accession number :
- edsair.doi.dedup.....f28febae3448634598bc0ad7e307c66f
- Full Text :
- https://doi.org/10.1038/tpj.2016.20