Pharmacogenetics and Genomics

Clinical Pharmacology & Therapeutics (2005) 78, 635–646; doi: 10.1016/j.clpt.2005.08.018

Pharmacogenomics of responsiveness to interferon IFN-bold beta treatment in multiple sclerosis: A genetic screen of 100 type I interferon-inducible genes*

Stephen Cunningham PhD1, Colin Graham PhD1, Michael Hutchinson MD1, Aidan Droogan MD1, Killian O'Rourke MD1, Chris Patterson PhD1, Gavin McDonnell MD1, Stanley Hawkins FRCP1 and Koen Vandenbroeck PhD1

1Applied Genomics Research Group, McClay Center for Pharmaceutical Sciences, School of Pharmacy, Queen's University of Belfast, Belfast; Centre of Medical Genetics, Belfast City Hospital, Belfast; Department of Neurology, St Vincent's University Hospital, and University College, Dublin; Neurology Department, Royal Victoria Hospital, Belfast; Department of Epidemiology and Public Health, School of Medicine, Queen's University of Belfast, Belfast; School of Medicine, Queen's University of Belfast, Belfast.

Correspondence: Koen Vandenbroeck, PhD, Chair in Applied Genomics, School of Pharmacy, Queen's University of Belfast, 97 Lisburn Rd, Belfast, BT9 7BL UK. E-mail: k.vandenbroeck@qub.ac.uk

*This work was supported by grant RRG11.5 from the Northern Ireland Health and Personal Social Services Research and Development (HPSS R&D) Office.

Received 18 May 2005; Accepted 23 August 2005.

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Abstract

Objectives: Interferon IFN-beta is indicated for the treatment of multiple sclerosis. A significant proportion of patients show a poor clinical response to therapy. Type I interferon exerts its effect at least partially through interaction of specific transcription factors with interferon-stimulated response elements (ISREs), mostly located in promoter regions of its target genes. We hypothesized that polymorphisms may occur within or close to ISRE elements, altering type I interferon inducibility and ultimately leading to a modified clinical response in carriers.

Methods: We selected 100 ISRE-containing genes and sequenced their promoter regions in small genomic deoxyribonucleic acid pools of responding and nonresponding patients, as well as healthy control subjects. A selection of polymorphisms discovered by this approach was scrutinized subsequently in a collection of individual deoxyribonucleic acid samples.

Results: We identified 4 genes containing polymorphisms associated with response to recombinant IFN-beta: IFNAR1 (P = .036), LMP7 (P = .002; odds ratio [OR], 6.37 [95% confidence interval (CI), 1.84-24.1]), CTSS (P = .02; OR, 0.38 [95% CI, 0.18-0.84]), and MxA (P = .015; OR, 3.37 [95% CI, 1.11-11.4]). Logistic regression analysis with treatment outcome used as the dependent variable and genotype as the independent variable revealed 2 genes, LMP7 (OR, 0.55 [95% CI, 0.34-0.89]) and MxA (OR, 0.41 [95% CI, 0.19-0.88]), that were independently associated with treatment response.

Conclusions: Our work confirms and extends previous indications for a polygenic mechanism involved in bringing about responsiveness to recombinant IFN-beta. The identification of 2 genes active in the antigen processing and presentation cascade; that is, LMP7, coding for the proteasome subunit beta, and CTSS, coding for cathepsin S; as potential response modifiers may identify this pathway as being of particular relevance to phenotypic expression of response heterogeneity.

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