Logo image
Comprehensive HLA-DP typing using polymerase chain reaction with sequence-specific primers and 95 sequence-specific primer mixes
Journal article   Peer reviewed

Comprehensive HLA-DP typing using polymerase chain reaction with sequence-specific primers and 95 sequence-specific primer mixes

F.C. Gilchrist, M. Bunce, P.A. Lympany, K.I. Welsh and R.M. Du Bois
Tissue Antigens, Vol.51(1), pp.51-61
1998
url
Link to Published Version *Subscription may be requiredView

Abstract

HLA-DP is the third of the class II molecules. Its role is antigen presentation, and it has been suggested to play a part in the susceptibility to certain diseases such as berylliosis, sarcoidosis and juvenile chronic arthritis. The standard typing method is SSO typing, although other methods have been used. Probably the best is sequence-based typing, but this is time-consuming and requires expensive equipment. We describe a method for comprehensive HLA-DPB1 and HLA-DPA1 typing using sequence-specific primers. This method has the advantages that it is rapid - typing a single DNA sample takes under 3 hours - and does not require any special equipment or reagents. The method has been shown to be highly accurate by typing 60 cell line DNA samples in which there was 100% agreement between the types obtained and the published information. Similarly typing of 20 DNA samples previously typed by sequence-based typing gave 100% concordance. We used the method to type DNA samples from 102 UK Cauca-soid kidney donors. The allele frequencies agree with previously published data. Linkage disequilibria between HLA-DPB1, HLA-DPA1 and the other class II antigens have been investigated. Strong linkage disequilibria exist between certain HLA-DPB1 and HLA-DPA1 alleles. This is unsurprising in view of their proximity on the chromosome. More unexpectedly, the data also suggest that genes further away along the chromosome are in linkage disequilibrium with HLA-DP, forming extended haplotypes.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.6 Immunology
1.6.607 MHC Diversity
Web Of Science research areas
Cell Biology
Immunology
Pathology
ESI research areas
Molecular Biology & Genetics
Logo image