Evidence map›Paper›PMID 20827233›Full record

ArticlePharmacogenetics and genomics2010

Generation of novel pharmacogenomic candidates in response to methotrexate in juvenile idiopathic arthritis: correlation between gene expression and genotype.

Halima Moncrieffe, Anne Hinks, Simona Ursu, Laura Kassoumeri, Angela Etheridge, Mike Hubank, Paul Martin, Tracey Weiler, David N Glass, Susan D Thompson and 2 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Pharmacogenetics and genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02528435 (Role of Pharmacogenetic and Psychological Factors in Methotrexate Tolerance), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02528435 completednot on this mapstarted 2013, after this paper: background citation

Role of Pharmacogenetic and Psychological Factors in Methotrexate Tolerance: Studies in Children With Chronic Arthritis and Children With Leukemia

TypeobservationalSponsorUniversity of AarhusRan2013 to 2017Enrolled145ConditionsJuvenile Idiopathic Arthritis, ALL
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Differential transcriptional and epigenetic signatures in CD4Journal of translational autoimmunity · 2026
    Article
  3. Associations Between Genetic Variants inInternational journal of molecular sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Halima MoncrieffeRheumatology Unit, UCL Institute of Child Health, London, UK.
Anne Hinks
Simona Ursu
Laura Kassoumeri
Angela Etheridge
Mike Hubank
Paul Martin
Tracey Weiler
David N Glass
Susan D Thompson
Wendy Thomson
Lucy R Wedderburn
Cincinnati Children's Hospital Medical Center · USManchester Academic Health Science Centre · GBUniversity College London · GB

Funding

Pediatric Rheumatology Tissue RepostoryP01AR048929 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI THOMPSON, SUSAN D · 2003 to 2015
$13.6M
PHARMACOGENOMICS OF JUVENILE RHEUMATOID ARTHRITISP60AR047784 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI LOVELL, DANIEL JOE · 2001 to 2012
$10.5M
ROLE OF ANGPTL4, AN ANGIOGENIC MEDIATOR, IN ARTHRITISP30AR047363 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI FLICK, MATTHEW J. · 2001 to 2015
$9.2M
Arthritis Research UK 17522Arthritis Research UK 17552NIAMS NIH HHS N01-AR042272NIAMS NIH HHS P01 AR048929NIAMS NIH HHS P01-AR048929NIAMS NIH HHS P30 AR047363NIAMS NIH HHS P30-AR047363NIAMS NIH HHS P60 AR047784NIAMS NIH HHS P60-AR047784
6 · The paper itself

Abstract

objectivesLittle is known about the mechanisms of efficacy of methotrexate (MTX) in childhood arthritis, or genetic influences upon response to MTX. The aims of this study were to use gene expression profiling to identify novel pathways/genes altered by MTX and then investigate these genes for genotype associations with response to MTX treatment.

methodsGene expression profiling before and after MTX treatment was performed on 11 children with juvenile idiopathic arthritis (JIA) treated with MTX, in whom response at 6 months of treatment was defined. Genes showing the most differential gene expression after the treatment were selected for single nucleotide polymorphism (SNP) genotyping. Genotype frequencies were compared between nonresponders and responders (ACR-Ped70). An independent cohort was available for validation.

resultsGene expression profiling before and after MTX treatment revealed 1222 differentially expressed probes sets (fold change >1.7, P<0.05) and 1065 when restricted to full responder cases only. Six highly differentially expressed genes were analyzed for genetic association in response to MTX. Three SNPs in the SLC16A7 gene showed significant association with MTX response. One SNP showed validated association in an independent cohort.

conclusionThis study is the first, to our knowledge, to evaluate gene expression profiles in children with JIA before and after MTX, and to analyze genetic variation in differentially expressed genes. We have identified a gene, which may contribute to genetic variability in MTX response in JIA, and established as proof of principle that genes that are differentially expressed at mRNA level after drug administration may also be good candidates for genetic analysis.

Indexed as

Gene ExpressionPolymorphism, Single NucleotideAntirheumatic AgentsArthritis, JuvenileCohort StudiesGene Expression ProfilingGene FrequencyGenotypeHumansMethotrexateMonocarboxylic Acid TransportersPharmacogeneticsRNA, MessengerAntirheumatic AgentsMethotrexateMonocarboxylic Acid TransportersRNA, MessengerSLC16A7 protein, human

Identifiers

PMID20827233
PMCPMC2963015
OpenAlexW2065293032

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.