Validation of the associations between single nucleotide polymorphisms or haplotypes and responses to disease-modifying antirheumatic drugs in patients with rheumatoid arthritis: a proposal for prospective pharmacogenomic study in clinical practice.

Abstract:

BACKGROUND:For prevention of joint destruction in rheumatoid arthritis, optimal management of therapy with disease-modifying antirheumatic drugs is essential. Pharmacogenomic evidence, if reliable, may be incorporated in the treatment of rheumatoid arthritis to achieve a more efficient activity control with minimized adverse events. METHODS:We conducted retrospective studies to validate our previous three different results about the association between adverse events or efficacy of two different disease-modifying antirheumatic drugs and genomic variations. Association between single nucleotide polymorphisms in N-acetyltransferase 2 gene (NAT2) and adverse events by sulfasalazine and association between C677T or A1298C in 5,10-methylenetetrahydrofolate reductase gene (MTHFR) and responses to methotrexate were examined. RESULTS:Patients without the wild-type haplotype at NAT2 were more likely to suffer from overall adverse events [n=186, P=0.001, relative risk (RR) 3.31, 95% confidence interval (CI) 1.76-6.22] and severe adverse events (P=0.015, RR 24.6, 95% CI 2.37-254.53) by sulfasalazine. Patients with the T allele at C677T in MTHFR were more susceptible to overall adverse events (n=156, P=0.003; RR 2.4, 95% CI 1.29-4.55) while patients with the C allele at A1298C were less likely to be treated with a higher dose (>6 mg/week) of methotrexate in one year of treatment (n=159, P=0.008, RR 1.84, 95% CI 1.12-3.01). In all three association studies, the results were essentially the same as previously reported. CONCLUSION:As three studies on the associations between genomic variations and adverse events or efficacy of two different disease-modifying antirheumatic drugs were replicated, the usefulness of the tests is worth being tested in clinical practice.

journal_name

Pharmacogenet Genomics

authors

Taniguchi A,Urano W,Tanaka E,Furihata S,Kamitsuji S,Inoue E,Yamanaka M,Yamanaka H,Kamatani N

doi

10.1097/01.fpc.0000236326.80809.b1

subject

Has Abstract

pub_date

2007-06-01 00:00:00

pages

383-90

issue

6

eissn

1744-6872

issn

1744-6880

pii

01213011-200706000-00001

journal_volume

17

pub_type

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