4.2 Article

Genome-wide data reveal novel genes for methotrexate response in a large cohort of juvenile idiopathic arthritis cases

期刊

PHARMACOGENOMICS JOURNAL
卷 14, 期 4, 页码 356-364

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/tpj.2014.3

关键词

juvenile idiopathic arthritis; methotrexate; pharmacogenetics; response

资金

  1. SPARKS UK [08ICH09]
  2. Big Lottery Fund UK [RG/1/010135231]
  3. UK National Institutes for Heath research (NIHR) Medicines for Children Research Network
  4. Great Ormond Street Hospital Children's Charity, Arthritis Research UK [20164]
  5. GOSH/UCL ICH NIHR Biomedical Research Centre
  6. Arthritis Research UK [20542, 17552]
  7. Charles University Grant Agency [GAUK 52608/2008]
  8. Reumafonds [DAA 07-01-19]
  9. National Institute for Health Research Biomedical Research Unit Funding Scheme
  10. MRC [MR/M004600/1] Funding Source: UKRI
  11. Medical Research Council [MR/M004600/1] Funding Source: researchfish
  12. Sparks Charity [12ICH08, 08ICH09] Funding Source: researchfish
  13. Versus Arthritis [20542] Funding Source: researchfish

向作者/读者索取更多资源

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 a targeted treatment. We genotyped 759 JIA cases from the UK, the Netherlands and Czech Republic. Clinical variables were measured at baseline and 6 months after start of the treatment. In Phase I analysis, samples were analysed for the 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 x 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 to reach our goal of predicting response to MTX in JIA.

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