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Genome-Wide Data reveals Novel Genes for Methotrexate Response in a Large Cohort of Juvenile Idiopathic Arthritis Cases

Clinical response to methotrexate (MTX) treatment for children with juvenile idiopathic arthritis (JIA) displays considerable heterogeneity. Currently, there are no reliable predictors to identify non-responders: earlier identification could lead to targeted treatment. We genotyped 759 JIA cases fro...

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Detalles Bibliográficos
Autores principales: Cobb, Joanna, Cule, Erika, Moncrieffe, Halima, Hinks, Anne, Ursu, Simona, Patrick, Fiona, Kassoumeri, Laura, Flynn, Edward, Bulatović, Maja, Wulffraat, Nico, van Zelst, Bertrand, de Jonge, Robert, Bohm, Marek, Dolezalova, Pavla, Hirani, Shashi, Newman, Stanton, Whitworth, Pamela, Southwood, Taunton R, De Iorio, Maria, Wedderburn, Lucy R, Thomson, Wendy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091986/
https://www.ncbi.nlm.nih.gov/pubmed/24709693
http://dx.doi.org/10.1038/tpj.2014.3
Descripción
Sumario:Clinical response to methotrexate (MTX) treatment for children with juvenile idiopathic arthritis (JIA) displays considerable heterogeneity. Currently, there are no reliable predictors to identify non-responders: earlier identification could lead to targeted treatment. We genotyped 759 JIA cases from the UK, Netherlands and Czech Republic. Clinical variables were measured at baseline and 6 months after start of treatment. In Phase I analysis samples were analysed for association with MTX response using ordinal regression of ACR-pedi categories and linear regression of change in clinical variables, and identified 31 genetic regions (P<0.001). Phase II analysis increased SNP density in the most strongly associated regions, identifying 14 regions (P<1×10(−5)): three contain genes of particular biological interest (ZMIZ1, TGIF1 and CFTR). These data suggest a role for novel pathways in MTX response and further investigations within associated regions will help reach our goal of predicting response to MTX in JIA.