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Polymorphisms of the macrophage migration inhibitory factor gene in a UK population with Type 1 diabetes mellitus
Author(s) -
Martin R. J. L.,
Savage D. A.,
Carson D. J.,
McKnight A. J.,
Maxwell A. P.,
Patterson C. C.
Publication year - 2010
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/j.1464-5491.2009.02916.x
Subject(s) - medicine , macrophage migration inhibitory factor , type 2 diabetes mellitus , diabetes mellitus , gene , type 2 diabetes , population , genetics , immunology , endocrinology , environmental health , cytokine , biology
Diabet. Med. 27, 143–149 (2010) Abstract Aims Macrophage migration inhibitory factor (MIF) is a potent pro‐inflammatory cytokine whose production is transcriptionally regulated by glucose. Experimental data from both Type 1 diabetes mellitus (T1D) patients and animal models suggests a role for MIF in the development of T1D. The aim of this study was to employ gene resequencing to identify common DNA polymorphisms in the MIF gene and subsequently assess haplotype tagged single nucleotide polymorphisms (htSNPs) using a combination of case–control and family‐based association analyses in order to assess the association of MIF htSNPs with the development of T1D in a white population. Methods All exons, introns and approximately 3 kb upstream and downstream of the MIF gene were screened for DNA polymorphisms in 46 individuals using DNA sequencing. Genotyping of the htSNPs was performed in 432 cases, 407 control subjects and 290 T1D parent–offspring trios, using Taqman, Sequenom, Pyrosequencing and fluorescence‐based microsatellite technologies. Results Twenty‐three polymorphisms (two novel) with a minor allele frequency > 10% were identified. Four MIF htSNPs (rs875643 G>A, rs7388067 C>T, rs5844572 −/CATT, rs6003941 T>G) were identified. Allele and haplotype frequencies were similar between case and control groups ( P > 0.6 by permutation test) and assessment of allele transmission distortion from informative parents to affected offspring also failed to find an association. Stratification of these analyses for age‐at‐onset and human leukocyte antigen (HLA)‐DR risk group (DR3/DR4) did not reveal any significant associations. Conclusions It is unlikely that common polymorphisms in the MIF gene strongly influence susceptibility to T1D in the UK population.