| Title |
The central MHC gene IKBL carries a structural polymorphism that is associated with HLA-A3,B7,DR15
|
|---|---|
| Published in |
Immunogenetics, June 1999
|
| DOI | 10.1007/s002510050662 |
| Pubmed ID | |
| Authors |
Richard J. N. Allcock, Frank T. Christiansen, P. Price |
| Abstract |
Susceptibility to several disorders, including insulin-dependent diabetes mellitus and multiple sclerosis, has been associated with alleles of HLA class II genes and loci in the TNF cluster in the central major histocompatibility complex (MHC) region. As recombination within this region is rare, it is difficult to determine which genes are important. This will be facilitated by the identification of functional polymorphisms. Hence we are sequencing reverse transcription-polymerase chain reaction products derived from central MHC genes in well characterized and conserved ancestral haplotypes. Here we address the IKBL gene, which lies near the TNF cluster at the telomeric end of the central MHC. Although the IKBL cDNA sequence was conserved between most ancestral haplotypes, a synonymous nucleotide substitution, a 3' untranslated region substitution, and a single nonsynonymous substitution were identified. The latter (IKBL+738) was present in multiple examples of the 7.1 haplotype [HLA-A3, B7, DR2 (DR15)] and resulted in a cysteine to arginine substitution in a predicted protein kinase C phosphorylation site. This polymorphism did not occur in 18 other common haplotypes from the 10th International Histocompatibility Workshop and thus appears haplospecific. A role for IKBL+738 in the association between HLA-A3,B7,DR2(DR15) and susceptibility to multiple sclerosis is discussed. |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Bachelor | 2 | 13% |
| Professor | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 31% |
| Medicine and Dentistry | 4 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Neuroscience | 1 | 6% |
| Unknown | 4 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2017.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Immunogenetics
#350
of 1,215 outputs
Outputs of similar age
#11,564
of 35,789 outputs
Outputs of similar age from Immunogenetics
#3
of 6 outputs
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