Dataset Information

Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for CD40 and CD39.

ABSTRACT: OBJECTIVES:We sought to investigate whether genetic effects on response to TNF inhibitors (TNFi) in rheumatoid arthritis (RA) could be localised by considering known genetic susceptibility loci for relevant traits and to evaluate the usefulness of these genetic loci for stratifying drug response. METHODS:We studied the relation of TNFi response, quantified by change in swollen joint counts ( ? SJC) and erythrocyte sedimentation rate ( ? ESR) with locus-specific scores constructed from genome-wide assocation study summary statistics in 2938 genotyped individuals: 37 scores for RA; scores for 19 immune cell traits; scores for expression or methylation of 93 genes with previously reported associations between transcript level and drug response. Multivariate associations were evaluated in penalised regression models by cross-validation. RESULTS:We detected a statistically significant association between ? SJC and the RA score at the CD40 locus (p=0.0004) and an inverse association between ? SJC and the score for expression of CD39 on CD4 T cells (p=0.00005). A previously reported association between CD39 expression on regulatory T cells and response to methotrexate was in the opposite direction. In stratified analysis by concomitant methotrexate treatment, the inverse association was stronger in the combination therapy group and dissipated in the TNFi monotherapy group. Overall, ability to predict TNFi response from genotypic scores was limited, with models explaining less than 1% of phenotypic variance. CONCLUSIONS:The association with the CD39 trait is difficult to interpret because patients with RA are often prescribed TNFi after failing to respond to methotrexate. The CD39 and CD40 pathways could be relevant for targeting drug therapy.

SUBMITTER: Spiliopoulou A

PROVIDER: S-EPMC6669378 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for <i>CD40</i> and CD39.

Spiliopoulou Athina A Colombo Marco M Plant Darren D Nair Nisha N Cui Jing J Coenen Marieke Jh MJ Ikari Katsunori K Yamanaka Hisashi H Saevarsdottir Saedis S Padyukov Leonid L Bridges S Louis SL Kimberly Robert P RP Okada Yukinori Y van Riel Piet L Cm PLC Wolbink Gertjan G van der Horst-Bruinsma Irene E IE de Vries Niek N Tak Paul P PP Ohmura Koichiro K Canhão Helena H Guchelaar Henk-Jan HJ Huizinga Tom Wj TW Criswell Lindsey A LA Raychaudhuri Soumya S Weinblatt Michael E ME Wilson Anthony G AG Mariette Xavier X Isaacs John D JD Morgan Ann W AW Pitzalis Costantino C Barton Anne A McKeigue Paul P

Annals of the rheumatic diseases 20190429 8

<h4>Objectives</h4>We sought to investigate whether genetic effects on response to TNF inhibitors (TNFi) in rheumatoid arthritis (RA) could be localised by considering known genetic susceptibility loci for relevant traits and to evaluate the usefulness of these genetic loci for stratifying drug response.<h4>Methods</h4>We studied the relation of TNFi response, quantified by change in swollen joint counts ( Δ SJC) and erythrocyte sedimentation rate ( Δ ESR) with locus-specific scores constructed ...[more]

PMID: 31036624

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Project description:Genetic dissection of the S rat genome has provided strong evidence for the presence of two interacting blood pressure (BP) quantitative trait loci (QTLs), termed QTL1 and QTL2, on rat chromosome 5. However, the identities of the underlying interacting genetic factors remain unknown. Further experiments targeted to identify the interacting genetic factors by the substitution mapping approach alone are difficult because of the interdependency of natural recombinations to occur at the two QTLs. We hypothesized that the interacting genetic factors underlying these two QTLs may interact at the level of gene transcription and thereby represent expression QTLs (eQTLs). To detect these interacting eQTLs, a custom QTL chip containing the annotated genes within QTL1 and QTL2 was developed and used to conduct a transcriptional profiling study of S and two congenic strains that retain either one or both the QTLs. The results uncovered an interaction between two transcription factors, DMRTA2 and NFIA. Further, the âbiological signatureâ elicited by these two transcription factors was differential between the congenic strain that retained LEW alleles at both QTL1 and 2 compared to the congenic strain that retained LEW alleles at QTL1 alone. A network of transcription factors potentially affecting BP could be traced, lending support to our hypothesis. Pairs of Cy5 and Cy3 labeled targets were co-hybridized onto either a custom long oligonucleotide microarray for the interrogation of 231 genes encompassed by QTL1 and QTL2, or a TIGR rat cDNA array consisting of 26,401 probe elements representing 20,465 unique non-QTL genes. A âflip-dyeâ or âbalanced blockâ design was used as the experimental method of choice to account for potential dye-bias labeling effects. Six âbalanced blockâ normalized files are submitted for the long oligonucleotide array interrogating the hearts from S versus S.LEW(5)x6x9 animals, fourteen âflip-dyeâ hybridizations are submitted for the cDNA array interrogating the hearts from S versus S.LEW(5)x6x9 animals, and twelve âflip-dyeâ hybridizations are submitted for the cDNA array interrogating the hearts from S versus S.LEW(5)x6x11 animals. GPR and MEV files cannot be located.

Dataset Information

Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for CD40 and CD39.

Publications

Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for <i>CD40</i> and CD39.

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