The major histocompatibility complex (MHC) containing the classical human leukocyte antigen (HLA) Class I and Class II genes is among the most polymorphic and diverse regions in the human genome. Despite the clinical importance of identifying the HLA types, very few databases jointly characterize densely genotyped single nucleotide polymorphisms (SNPs) and HLA alleles in the same samples. To date, the HapMap presents the only public resource that provides a SNP reference panel for predicting HLA alleles, constructed with four collections of individuals of north-western European, northern Han Chinese, cosmopolitan Japanese and Yoruba Nigerian ancestry. Owing to complex patterns of linkage disequilibrium in this region, it is unclear whether the HapMap reference panels can be appropriately utilized for other populations. Here, we describe a public resource for the Singapore Genome Variation Project with: (i) dense genotyping across ∼ 9000 SNPs in the MHC; (ii) four-digit HLA typing for eight Class I and Class II loci, in 96 southern Han Chinese, 89 Southeast Asian Malays and 83 Tamil Indians. This resource provides population estimates of the frequencies of HLA alleles at these eight loci in the three population groups, particularly for HLA-DPA1 and HLA-DPB1 that were not assayed in HapMap. Comparing between population-specific reference panels and a cosmopolitan panel created from all four HapMap populations, we demonstrate that more accurate imputation is obtained with population-specific panels than with the cosmopolitan panel, especially for the Malays and Indians but even when imputing between northern and southern Han Chinese. As with SNP imputation, common HLA alleles were imputed with greater accuracy than low-frequency variants.

Class I human leukocyte antigens (HLA) play an important role in the adaptive immune response by presenting antigens to CD8+ T cells. Studies have reported that several HLA class I alleles are associated with differential disease progression in human immunodeficiency virus (HIV)-infected individuals, however, few class I associations with resistance or susceptibility to HIV-1 infection have been reported. We typed HLA-A, -B and -C of >1000 women enrolled in the Pumwani Sex Worker Cohort using a sequence-based typing method. Kaplan-Meier analysis was used to identify alleles influencing seroconversion and disease progression to acquired immune deficiency syndrome (CD4 < 200/mm³). A*01 (P = 0.020), C*06:02 (P = 0.042) and C*07:01 (P = 0.050) are independently associated with protection from seroconversion. Women with any of these alleles are less likely to seroconvert [P = 0.00001, odds ratio (OR): 0.503, 95% confidence interval (CI): 0.320-0.790]. Conversely, A*23:01 (P = 0.004), B*07:02 (P = 0.003) and B*42:01 (P = 0.025) are independently associated with rapid seroconversion. Women with any of these alleles are twice as likely to seroconvert (P = 0.002, OR: 2.059, 95% CI: 1.290-3.285). The beneficial alleles confer threefold protection from seroconversion when compared with the susceptible alleles (P = 0.000001, OR: 0.268, 95% CI: 0.132-0.544). B*07:02 is the contributing allele, within the B7 supertype, to the rapid seroconversion. A*74:01 (P = 0.04/P = 0.006), B*14 (P = 0.003/P = 0.003) and B*57:03 (P = 0.012/P = 0.038) are independently associated with slower CD4+ decline and LTNP phenotype, while B*07:02 (P = 0.020), B*15:10 (P = 0.022) and B*53:01 (P = 0.007) are independently associated with rapid CD4+ T-cell decline. B7 supertype (P = 0.00006), B*35*-Py (P = 0.028) and B*35-Px (P = 0.001) were also significantly associated with rapid CD4+ T-cell decline. Understanding why these HLA class I alleles are associated with protection/susceptibility to HIV-1 acquisition and disease progression could contribute to the development of effective prophylactic and therapeutic vaccines for HIV-1.

BackgroundWest Nile virus (WNV) infection is asymptomatic in most individuals, with a minority developing symptoms ranging from WNV fever to serious neuroinvasive disease. This study investigated the impact of host HLA on the outcome of WNV disease.MethodsA cohort of 210 non-Hispanic mostly white WNV+ subjects from Canada and the U.S. were typed for HLA-A, B, C, DP, DQ, and DR. The study subjects were divided into three WNV infection outcome groups: asymptomatic (AS), symptomatic (S), and neuroinvasive disease (ND). Allele frequency distribution was compared pair-wise between the AS, S, and ND groups using χ2 and Fisher's exact tests and P values were corrected for multiple comparisons (Pc). Allele frequencies were compared between the groups and the North American population (NA) used as a control group. Logistic regression analysis was used to evaluate the potential synergistic effect of age and HLA allele phenotype on disease outcome.ResultsThe alleles HLA-A*68, C*08 and DQB*05 were more frequently associated with severe outcomes (ND vs. AS, P A*68 = 0.013/Pc = 0.26, P C*08 = 0.0075/Pc = 0.064, and P DQB1*05 = 0.029/Pc = 0.68), However the apparent DQB1*05 association was driven by age. The alleles HLA-B*40 and C*03 were more frequently associated with asymptomatic outcome (AS vs. S, P B*40 = 0.021/Pc = 0.58 and AS vs. ND P C*03 = 0.039/Pc = 0.64) and their frequencies were lower within WNV+ subjects with neuroinvasive disease than within the North American population (NA vs. S, P B*40 = 0.029 and NA vs. ND, P C*03 = 0.032).ConclusionsHost HLA may be associated with the outcome of WNV disease; HLA-A*68 and C*08 might function as “susceptible” alleles, whereas HLA-B*40 and C*03 might function as “protective” alleles.

The Singapore Integrative Omics Study provides valuable insights on establishing population reference measurement in 364 Chinese, Malay, and Indian individuals. These measurements include > 2.5 millions genetic variants, 21,649 transcripts expression, 282 lipid species quantification, and 284 clinical, lifestyle, and dietary variables. This concept paper introduces the depth of the data resource, and investigates the extent of ethnic variation at these omics and non-omics biomarkers. It is evident that there are specific biomarkers in each of these platforms to differentiate between the ethnicities, and intra-population analyses suggest that Chinese and Indians are the most biologically homogeneous and heterogeneous, respectively, of the three groups. Consistent patterns of correlations between lipid species also suggest the possibility of lipid tagging to simplify future lipidomics assays. The Singapore Integrative Omics Study is expected to allow the characterization of intra-omic and inter-omic correlations within and across all three ethnic groups through a systems biology approach.

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