Characterization of 12 microsatellite loci of the human MHC in a panel of reference cell lines

Differential genetic determination of immune responsiveness to hepatitis B surface antigen and to hepatitis A virus: a vaccination study in twins

BACKGROUND

The course of viral hepatitis is thought to be affected by genetic host variability and, in particular, by genes of the major histocompatibility locus. Hepatitis A and B vaccination is a useful model to study the effect of host factors on the immune response to viral antigens. We aimed to assess the heritability of the HBsAg (anti-HBs) and anti-hepatitis A virus (anti-HAV) immune response and to estimate the effect of the HLA-DRB1 locus and other genetic loci unlinked to HLA.

METHODS

We did an open prospective study and vaccinated 202 twin pairs with a combined recombinant HBsAg/inactivated hepatitis A vaccine. We measured antibodies to HBsAg and HAV and determined HLA-DRB1* alleles. Heritability was calculated based on variance of antibody response within pairs. Model-fitting analyses were done to analyse genetic and environmental components of vaccine responses.

FINDINGS

Anti-HBs and anti-HAV showed heritabilities of 0.61 (95% CI 0.41 to 0.81) and 0.36 (-0.02 to 0.73), respectively. For the anti-HBs immune response, 60% of the phenotypic variance was explained by additive genetic and 40% by non-shared environmental effects. The heritability of the HBsAg vaccine response accounted for by the DRB1* locus was estimated to be 0.25, leaving the remaining heritability of 0.36 to other gene loci.

INTERPRETATION

Genetic factors have a strong effect on the immune response to HBsAg. Although genes encoded within the MHC are important for this immune response, more than half the heritability is determined outside this complex. Identification of these genes will help us to understand regulation of immune responses to viral proteins.

Genetic dissection of the human leukocyte antigen region by use of haplotypes of Tasmanians with multiple sclerosis

Association of multiple sclerosis (MS) with the human leukocyte antigen (HLA) class II haplotype DRB1*1501-DQB1*0602 is the most consistently replicated finding of genetic studies of the disease. However, the high level of linkage disequilibrium (LD) in the HLA region has hindered the identification of other loci that single-marker tests for association are unlikely to resolve. In order to address this issue, we generated haplotypes spanning 14.754 Mb (5 cM) across the entire HLA region. The haplotypes, which were inferred by genotyping relatives of 152 patients with MS and 105 unaffected control subjects of Tasmanian ancestry, define a genomic segment from D6S276 to D6S291, including 13 microsatellite markers integrated with allele-typing data for DRB1 and DQB1. Association to the DRB1*1501-DQB1*0602 haplotype was replicated. In addition, we found that the class I/extended class I region, defined by a genomic segment of approximately 400 kb between MOGCA and D6S265, harbors genes that independently increase risk of, or provide protection from, MS. Log-linear modeling analysis of constituent haplotypes that represent genomic regions containing class I (MOGCA-D6S265), class III (TNFa-TNFd-D6S273), and class II (DRB1-DQB1) genes indicated that having class I and class II susceptibility variants on the same haplotype provides an additive effect on risk. Moreover, we found no evidence for a disease locus in the class III region defined by a 150-kb genomic segment containing the TNF locus and 14 other genes. A global overview of LD performed using GOLD identified two discrete blocks of LD in the HLA region that correspond well with previous findings. We propose that the analysis of haplotypes, by use of the types of approaches outlined in the present article, should make it possible to more accurately define the contribution of the HLA to MS.

A scan for linkage disequilibrium across the human genome

Linkage disequilibrium (LD), the tendency for alleles of linked loci to co-occur nonrandomly on chromosomal haplotypes, is an increasingly useful phenomenon for (1) revealing historic perturbation of populations including founder effects, admixture, or incomplete selective sweeps; (2) estimating elapsed time since such events based on time-dependent decay of LD; and (3) disease and phenotype mapping, particularly for traits not amenable to traditional pedigree analysis. Because few descriptions of LD for most regions of the human genome exist, we searched the human genome for the amount and extent of LD among 5048 autosomal short tandem repeat polymorphism (STRP) loci ascertained as specific haplotypes in the European CEPH mapping families. Evidence is presented indicating that approximately 4% of STRP loci separated by <4.0 cM are in LD. The fraction of locus pairs within these intervals that display small Fisher's exact test (FET) probabilities is directly proportional to the inverse of recombination distance between them (1/cM). The distribution of LD is nonuniform on a chromosomal scale and in a marker density-independent fashion, with chromosomes 2, 15, and 18 being significantly different from the genome average. Furthermore, a stepwise (locus-by-locus) 5-cM sliding-window analysis across 22 autosomes revealed nine genomic regions (2.2-6.4 cM), where the frequency of small FET probabilities among loci was greater than or equal to that presented by the HLA on chromosome 6, a region known to have extensive LD. Although the spatial heterogeneity of LD we detect in Europeans is consistent with the operation of natural selection, absence of a formal test for such genomic scale data prevents eliminating neutral processes as the evolutionary origin of the LD.

Characterization of LMP polymorphism in homozygous typing cells and a random population

Within the class II region of the MHC are several genes whose products are involved in processing antigen for HLA class I presentation. Two such genes, LMP2 and LMP7, encode products that are incorporated into a multicatalytic proteinase complex which serves as the major pathway for protein degradation for class I peptide presentation. Polymorphic residues have been identified in both LMP2 and LMP7. In this report, we describe an ARMS-PCR method to distinguish LMP7 alleles. We applied this method to characterize these alleles in addition to LMP2 alleles in 50 homozygous typing cells (HTC) as well as in a panel of 110 random individuals. Of the four possible combinations of LMP2 and LMP7, we observed three in the HTC population, while all four were observed in the random population. The frequencies at which allele combinations were observed were similar to that predicted by individual allele frequencies. We also analyzed the possibility of linkage disequilibrium of LMP2 and LMP7 alleles with TAP1, TAP2, and specific HLA class I alleles in both populations. From this data, there seems to be no apparent linkage disequilibrium and no indication that particular combinations of LMP2 and LMP7 have been maintained.

Microsatellite single nucleotide polymorphisms in the HLA-DQ region

Sequencing studies were performed in three previously described microsatellite and minisatellite markers located within the HLA-DQ region, DQCAR, DQCARII and G51152. Multiple nucleotide substitutions that did not change size polymorphisms were observed in all three markers. In all loci, the number of core repeats did not correlate with neighboring DQ allele sequence motifs while single nucleotide changes within or flanking the microsatellite sequence did. This result indicates higher mutation rates for microsatellite expansions/contractions than for nucleotide substitutions in these loci. Further analysis indicated an almost complete phylogenetic correspondence between DQCAR single nucleotide polymorphisms (SNPs) and DQB1 sequences on one side (1.0-1.5 kb apart) and a complete relationship between DQCARII and DQA1 sequences on the other (4.5 kb apart). In contrast, G51152 sequences did not correspond perfectly with DQB1 allelic sequences, thus suggesting the existence of several ancestral crossovers between this marker and DQB1 (20-25 kb). Sequencing microsatellites might be useful in disease mapping studies by increasing marker informativeness and by helping in the interpretation of association study results. It is also proposed that SNPs within the flanking region of CA repeats could be used to develop biallelic markers from already available mapped microsatellite markers.