Literature DB >> 22732448

Genotype-phenotype correlation for non-HLA disease associated risk alleles in multiple sclerosis.

Katharine Harding1, Gillian Ingram, Mark Cossburn, Claire Hirst, Trevor Pickersgill, Yoav Ben-Shlomo, Neil Robertson.   

Abstract

BACKGROUND: Recent advances in MS genetics have led to the successful identification of a number of novel disease associated non-HLA genes. It is now becoming possible to begin to analyse the possible effects of these genes on aspects of disease phenotype where longitudinal clinical data is available.
OBJECTIVE: We examined phenotypic impact of 10 non-HLA disease associated single nucleotide polymorphisms (SNPs) in 1003 patients with MS followed for an average of 14.1 years.
METHODS: Association of SNPs with time to established disability milestones (Expanded Disability Status Scale (EDSS) 4.0, 6.0, 8.0), onset of secondary progression and cross-sectional aspects of early phenotype were tested using survival analysis.
RESULTS: No SNP was associated with systematic deflection in time to disability milestones, age at onset or time to secondary progression.
CONCLUSIONS: Genotypic information from non-HLA associated SNPs is unlikely to inform individual patient prognosis in the clinical setting although minor phenotypic effects operative at specific phases of disease cannot be excluded. This preliminary study provides a framework for future genotype-phenotype analysis in MS and will need to be replicated in independent patient cohorts.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22732448     DOI: 10.1016/j.neulet.2012.06.040

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  2 in total

1.  Abundant kif21b is associated with accelerated progression in neurodegenerative diseases.

Authors:  Karim L Kreft; Marjan van Meurs; Annet F Wierenga-Wolf; Marie-Jose Melief; Miriam E van Strien; Elly M Hol; Ben A Oostra; Jon D Laman; Rogier Q Hintzen
Journal:  Acta Neuropathol Commun       Date:  2014-10-03       Impact factor: 7.801

2.  Variants of MicroRNA Genes: Gender-Specific Associations with Multiple Sclerosis Risk and Severity.

Authors:  Ivan Kiselev; Vitalina Bashinskaya; Olga Kulakova; Natalia Baulina; Ekaterina Popova; Alexey Boyko; Olga Favorova
Journal:  Int J Mol Sci       Date:  2015-08-24       Impact factor: 5.923

  2 in total

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