Identification of a novel HLA-DQA1 null allele, DQA1*0403N, from an East African woman

Prediction of HLA class II alleles using SNPs in an African population

BACKGROUND

Despite the importance of the human leukocyte antigen (HLA) gene locus in research and clinical practice, direct HLA typing is laborious and expensive. Furthermore, the analysis requires specialized software and expertise which are unavailable in most developing country settings. Recently, in silico methods have been developed for predicting HLA alleles using single nucleotide polymorphisms (SNPs). However, the utility of these methods in African populations has not been systematically evaluated.

METHODOLOGY/PRINCIPAL FINDINGS

In the present study, we investigate prediction of HLA class II (HLA-DRB1 and HLA-DQB1) alleles using SNPs in the Wolaita population, southern Ethiopia. The subjects comprised 297 Ethiopians with genome-wide SNP data, of whom 188 had also been HLA typed and were used for training and testing the model. The 109 subjects with SNP data alone were used for empirical prediction using the multi-allelic gene prediction method. We evaluated accuracy of the prediction, agreement between predicted and HLA typed alleles, and discriminative ability of the prediction probability supplied by the model. We found that the model predicted intermediate (two-digit) resolution for HLA-DRB1 and HLA-DQB1 alleles at accuracy levels of 96% and 87%, respectively. All measures of performance showed high accuracy and reliability for prediction. The distribution of the majority of HLA alleles in the study was similar to that previously reported for the Oromo and Amhara ethnic groups from Ethiopia.

CONCLUSIONS/SIGNIFICANCE

We demonstrate that HLA class II alleles can be predicted from SNP genotype data with a high level of accuracy at intermediate (two-digit) resolution in an African population. This finding offers new opportunities for HLA studies of disease epidemiology and population genetics in developing countries.

Clade-specific evolution mediated by HLA-B*57/5801 in human immunodeficiency virus type 1 clade A1 p24

HLA-B*57-mediated selection pressure leads to a typical escape pathway in human immunodeficiency virus type 1 (HIV-1) CD8 epitopes such as TW10. Whether this T242N pathway is shared by all clades remains unknown. We therefore assessed the nature of HLA-B*57 selection in a large, observational Kenyan cohort where clades A1 and D predominate. While T242N was ubiquitous in clade D HLA-B*57(+) subjects, this mutation was rare (15%) in clade A1. Instead, P243T and I247L were selected by clade A1-infected HLA-B*57 subjects but not by HLA-B*5801(+) subjects. Our data suggest that clade A1 consensus proline at Gag residue 243 might represent an inherent block to T242N escape in clade A1. We confirmed immunologically that P243T and I247L likely represent escape mutations. HLA-B*57 evolution also differed between clades in the KF11 and IW9 epitopes. A better understanding of clade-specific evolution is important for the development of HIV vaccines in regions with multiple clades.

Sequence-based typing of HLA-DQA1: comprehensive approach showed molecular heterogeneity

Within the human leukocyte antigen-DQA1 workshop project the level of molecular heterogeneity of the DQA1 gene was investigated. An improved sequence-based typing protocol was used, enabling analysis of the complete coding sequence, comprising exons 1-4. The participating laboratories implemented the amplification and sequencing primers in their own sequence-based typing approach. The method proved to be sufficiently robust to handle the differences in protocols. All reference samples used for validation were correctly typed for DQA1 by all participating laboratories. Three different populations with a total of 736 individuals were investigated: a population of Korean origin (n= 467), a British Caucasian (n= 114), and a Dutch Caucasian (n= 155) population. Sixteen of the known 28 DQA1 alleles were detected and six new alleles were identified. All novel alleles showed a nucleotide substitution outside exon 2. Comparison of the calculated allele frequencies revealed major differences between the Korean and the Caucasian populations but also between Dutch and British Caucasians. A tight association between DQA1 and DRB1/DQB1 alleles was observed in all three populations.

Sequence-based typing of the complete coding sequence of DQA1 and phenotype frequencies in the Dutch Caucasian population

Typing of DQA1 by sequencing has been a challenge because of a 3-nucleotide deletion in exon 2 in half of the alleles. Furthermore, 19 of the 28 alleles cannot be identified on basis of exon 2 alone, but need additional exon information. With the sequencing strategy presented here the complete exons 1-4 are sequenced heterozygously, enabling identification of all DQA1 alleles by sequence-based typing (SBT). Exons 1-4 were amplified and sequenced separately, the combined sequences were used for automated allele assignment. The method was validated by typing 21 individuals with all possible different allele group combinations. In addition 26 quality control samples were correctly typed by this method. To determine the phenotype frequencies 155 unrelated Dutch Caucasian individuals were DQA1 typed. In total 15 known and two new DQA1 alleles were identified. DQA1*0103 and *0505 were the most frequent alleles with phenotype frequencies of 30% and 29%, respectively. The SBT method presented here is an improvement compared to already existing protocols in that the complete exon sequence is obtained for all coding exons, using identical polymerase chain reaction conditions. Furthermore, all exons are sequenced heterozygously, facilitating allele assignment and reducing the number of amplification reactions.