Evolutionary and Population Perspectives of the Human HLA Complex. In: Hecht MK, Wallace B, Macintyre RJ, editors. Evolutionary Biology. Boston: Springer US; 1992. pp. 35-72. [DOI: 10.1007/978-1-4615-3336-8_2]

EVOLUTION OF VEGETATIVE INCOMPATIBILITY IN FILAMENTOUS ASCOMYCETES. I. DETERMINISTIC MODELS

In ascomycetes vegetative incompatibility can prevent the somatic exchange of genetic material between conspecifics. It must occur frequently in natural populations, since in all species studied many vegetative compatibility groups (VCGs) are found. Using a population-genetic approach, this paper explores two possible selective explanations for the evolution of vegetative incompatibility in asexual fungi: selection by a nuclear parasitic gene, and selection by a harmful cytoplasmic element. In a deterministic model, assuming a random spatial distribution of VCGs in an infinitely sized population, it is found that neither of these forms of frequency-dependent selection can explain the large number of VCGs found in nature. The selective pressure for more VCGs disappears once a limited number of VCGs exist, because the frequency of compatible interactions decreases when the number of VCGs increases. In comparing the two selective explanations, selection by a cytoplasmic element seems a more plausible explanation than selection by a nuclear gene.

Balancing selection and heterogeneity across the classical human leukocyte antigen loci: a meta-analytic review of 497 population studies

This paper presents a meta-analysis of high-resolution human leukocyte antigen (HLA) allele frequency data describing 497 population samples. Most of the datasets were compiled from studies published in eight journals from 1990 to 2007; additional datasets came from the International Histocompatibility Workshops and from the AlleleFrequencies.net database. In all, these data represent approximately 66,800 individuals from throughout the world, providing an opportunity to observe trends that may not have been evident at the time the data were originally analyzed, especially with regard to the relative importance of balancing selection among the HLA loci. Population genetic measures of allele frequency distributions were summarized across populations by locus and geographic region. A role for balancing selection maintaining much of HLA variation was confirmed. Further, the breadth of this meta-analysis allowed the ranking of the HLA loci, with DQA1 and HLA-C showing the strongest balancing selection and DPB1 being compatible with neutrality. Comparisons of the allelic spectra reported by studies since 1990 indicate that most of the HLA alleles identified since 2000 are very-low-frequency alleles. The literature-based allele-count data, as well as maps summarizing the geographic distributions for each allele, are available online.

Evolution of HLA class II molecules: Allelic and amino acid site variability across populations

Analysis of the highly polymorphic beta1 domains of the HLA class II molecules encoded by the DRB1, DQB1, and DPB1 loci reveals contrasting levels of diversity at the allele and amino acid site levels. Statistics of allele frequency distributions, based on Watterson's homozygosity statistic F, reveal distinct evolutionary patterns for these loci in ethnically diverse samples (26 populations for DQB1 and DRB1 and 14 for DPB1). When examined over all populations, the DQB1 locus allelic variation exhibits striking balanced polymorphism (P < 10(-4)), DRB1 shows some evidence of balancing selection (P < 0.06), and while there is overall very little evidence for selection of DPB1 allele frequencies, there is a trend in the direction of balancing selection (P < 0.08). In contrast, at the amino acid level all three loci show strong evidence of balancing selection at some sites. Averaged over polymorphic amino acid sites, DQB1 and DPB1 show similar deviation from neutrality expectations, and both exhibit more balanced polymorphic amino acid sites than DRB1. Across ethnic groups, polymorphisms at many codons show evidence for balancing selection, yet data consistent with directional selection were observed at other codons. Both antigen-binding pocket- and non-pocket-forming amino acid sites show overall deviation from neutrality for all three loci. Only in the case of DRB1 was there a significant difference between pocket- and non-pocket-forming amino acid sites. Our findings indicate that balancing selection at the MHC occurs at the level of polymorphic amino acid residues, and that in many cases this selection is consistent across populations.

Recombination within the human MHC

Recombination (crossing over) in the human MHC is thought to have played a role in generation of novel alleles at various HLA loci. It is also responsible for the diversity observed at the haplotype level, although the functional consequences of this activity are not clear. Historic and family studies of recombination have provided estimations of recombination fractions across the MHC and identified potential hotspots for recombination in the class II region. Other characteristics of recombination in the human MHC such as haplotype specificity in recombination frequency and localized sequence motifs involved in recombination have been considered, but have been difficult to address given the constraints of human population studies. Single-sperm typing holds promise in overcoming some of the limitations inherent in the study of recombination in human populations. Both family-based and sperm typing analyses of recombination, along with our knowledge of linkage disequilibrium patterns in the MHC, may provide novel information regarding the evolution of HLA haplotypes that will be difficult to obtain by other means.

Association mapping of disease loci, by use of a pooled DNA genomic screen

Genomic screening to map disease loci by association requires automation, pooling of DNA samples, and 3,000-6,000 highly polymorphic, evenly spaced microsatellite markers. Case-control samples can be used in an initial screen, followed by family-based data to confirm marker associations. Association mapping is relevant to genetic studies of complex diseases in which linkage analysis may be less effective and to cases in which multigenerational data are difficult to obtain, including rare or late-onset conditions and infectious diseases. The method can also be used effectively to follow up and confirm regions identified in linkage studies or to investigate candidate disease loci. Study designs can incorporate disease heterogeneity and interaction effects by appropriate subdivision of samples before screening. Here we report use of pooled DNA amplifications-the accurate determination of marker-disease associations for both case-control and nuclear family-based data-including application of correction methods for stutter artifact and preferential amplification. These issues, combined with a discussion of both statistical power and experimental design to define the necessary requirements for detecting of disease loci while virtually eliminating false positives, suggest the feasibility and efficiency of association mapping using pooled DNA screening.

Microsatellites in the HLA region: on overview

Microsatellites are repeats of a DNA base motif (1-6 bp, mostly CA repeats) up to 100 times; they are distributed regularly all over the genome. Many of them are polymorphic and their high polymorphism is based upon a variable number of repeats. They are widely used for genetic mapping, linkage analysis, population genetics, evolutionary studies and in forensic medicine. Such markers have also been described in the HLA region since 1991, and a growing interest in their potential applications is being expressed. The aims of this review are: 1) to outline the presently available information from literature and molecular databases concerning 53 microsatellites in the HLA region (localization, type of repeat, number of alleles, heterozygosity, primers used for amplification); 2) to address the question of technical pitfalls when using such markers; 3) to discuss specific features such as their mutation rate (10 (-3) to 10 (-6), which is higher than that reported for HLA genes, and their linkage disequilibrium with HLA alleles; 4) to present an integrated map of microsatellites and genes of this region; and 5) to provide a synopsis of their different applications in HLA-related fields (disease studies, population genetics, recombination point studies, HLA region mapping, transplantation) along with perspectives for future use. Although some HLA region microsatellites have already been applied to the analysis of more than 10 diseases, it is now evident that their use in population genetics and the determination of genomic compatibility in bone marrow transplantation represent growing areas of application.

Influence of combinations of human major histocompatibility complex genes on the course of HIV-1 infection

Major histocompatibility complex (MHC) genes (HLA in humans) regulate the immune response to foreign antigens. Molecular and serologic techniques were used to identify products of HLA class I, class II and transporter (TAP) genes (also part of the MHC) in homosexual seroconverters to human immunodeficiency virus type 1 (HIV-1). Comprehensive statistical analysis produced an HLA profile that predicted time from HIV-1 infection to the onset of AIDS. The profile was developed in a cohort of 139 men and evaluated in a second unrelated cohort of 102 men. In the evaluation cohort, the profile discriminated a sixfold difference between groups with the shortest and longest times to AIDS (P = 0.001). These findings support current theory about control of antigen processing by HLA genes and have implications for immunopathogenesis of HIV-1 and other infections.

HLA disease associations: models for the study of complex human genetic disorders

The genes of the human leukocyte antigen (HLA) region, the major histocompatibility complex (MHC) of humans, control a variety of functions involved in immune response and influence susceptibility to over 40 diseases. Theoretical studies in the development of models to determine the modes of inheritance of the HLA-associated diseases have led to a better understanding of the inheritance patterns in insulin-dependent diabetes mellitus (IDDM), rheumatoid arthritis, multiple sclerosis, ankylosing spondylitis, hemochromatosis, celiac disease, and others. It is now clear that many of the HLA-associated diseases involve heterogeneity in their HLA components, as well as non-HLA genetic factors. This review is presented using HLA-associated diseases, and in particular IDDM, as the example of interest, but the observations and techniques presented have direct relevance to the study of all human diseases with a complex genetic component. Three methods for localizing disease-predisposing genes are presented: (1) association studies, including population, family, and relative predispositional effects, (2) affected sib pair and other affected-relative methods, and (3) lod score analysis. A variety of complementary methods for studying the mode(s) of inheritance of the alleles at the disease-predisposing locus and for identifying the alleles and amino acids directly involved in the disease process also are presented.