The objective of this study was to characterize the class I human leukocyte antigen (HLA) genetic composition of the Ugandan population to better define its relationship with other African groups. Samples from 175 individuals from Kampala (Uganda) were subjected to class I HLA-A, -B, and -C sequence-based typing. The high concordance between the major alleles and haplotypes found in the current and Kenyan populations and interpopulation genetic distance analysis strongly supported the presence of an East African cluster that contained the current Ugandan population along with Kenyan Luo and Nandi populations. The congruence of major alleles in different populations would permit consideration of East Africa as an integrated setting when designing and evaluating much needed malaria, tuberculosis, and AIDS vaccines.

Here we explore associations between HLA variation and human immunodeficiency virus type 1 (HIV-1) acquisition and disease progression in a community cohort in Mbeya, Tanzania, a region that, despite harboring high rates of HIV-1 infection, remains understudied. African-specific allele HLA-A*74:01 was associated with decreased risk of infection (odds ratio [OR], 0.37; 95% confidence interval [CI], 0.14-0.80; P = .011) and with protection from CD4(+) cell counts <200 cells/uL in women (OR, 0.31; 95% CI, 0.07-0.91; P = .032) and men (OR, 0.15; 95% CI, 0.01-0.78; P = .020). These associations remained significant after adjustment for linkage disequilibrium with HLA-B and HLA-C alleles. This observation calls for additional investigation of mechanisms by which HLA-A*74:01 may influence HIV-1 acquisition and control of the infection.

Killer immunoglobulin-like receptors (KIRs) expressed on natural killer cells are critical components of innate immunity. Interactions between KIRs and their human leukocyte antigen (HLA) ligands have been shown to influence autoimmune and infectious disease course in defined populations. However, the low throughput and high cost of current methods impede confirmation of the universality of these findings. To support large epidemiology surveys, we developed a high-throughput real-time polymerase chain reaction-based assay to identify carriers of KIR3DL1, KIR3DS1, KIR2DL2, and KIR2DL3 and their HLA ligands. The platform performed with 100% sensitivity and specificity in detection of carrier and non-carrier on reference samples. The application of this platform will further clarify the nature and impact of the KIR-HLA epistatic interaction on disease course in large global population-based studies.