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Stephan Beck

Publications and source records attributed to Stephan Beck.

At least 19 recordsLinked to original sources

Replication of the association of HLA-B7 with Alzheimer's disease: a role for homozygosity?

BACKGROUND: There are reasons to expect an association with Alzheimer's disease (AD) within the HLA region. The HLA-B & C genes have, however, been relatively understudied. A geographically specific association with HLA-B7 & HLA-Cw*0702 had been suggested by our previous, small study. METHODS: We studied the HLA-B & C alleles in 196 cases of 'definite' or 'probable' AD and 199 elderly controls of the OPTIMA cohort, the largest full study of these alleles in AD to date. RESULTS: We replicated the association of HLA-B7 with AD (overall, adjusted odds ratio = 2.3, 95% confidence interval = 1.4-3.7, p = 0.001), but not the previously suggested interaction with the epsilon4 allele of apolipoprotein E. Results for HLA-Cw*0702, which is in tight linkage disequilibrium with HLA-B7, were consistent with those for the latter. Homozygotes of both alleles appeared to be at particularly high risk of AD. CONCLUSION: HLA-B7 and HLA-Cw*0702 are associated with AD in the Oxford population. Because of the contradictions between cohorts in our previous study, we suggest that these results may be geographically specific. This might be because of differences between populations in the structure of linkage disequilibrium or in interactions with environmental, genetic or epigenetic factors. A much larger study will be needed to clarify the role of homozygosity of HLA alleles in AD risk.

Journal Article↗

Evolution and comparative analysis of the MHC Class III inflammatory region.

BACKGROUND: The Major Histocompatibility Complex (MHC) is essential for immune function. Historically, it has been subdivided into three regions (Class I, II, and III), but a cluster of functionally related genes within the Class III region has also been referred to as the Class IV region or "inflammatory region". This group of genes is involved in the inflammatory response, and includes members of the tumour necrosis family. Here we report the sequencing, annotation and comparative analysis of a tammar wallaby BAC containing the inflammatory region. We also discuss the extent of sequence conservation across the entire region and identify elements conserved in evolution. RESULTS: Fourteen Class III genes from the tammar wallaby inflammatory region were characterised and compared to their orthologues in other vertebrates. The organisation and sequence of genes in the inflammatory region of both the wallaby and South American opossum are highly conserved compared to known genes from eutherian ("placental") mammals. Some minor differences separate the two marsupial species. Eight genes within the inflammatory region have remained tightly clustered for at least 360 million years, predating the divergence of the amphibian lineage. Analysis of sequence conservation identified 354 elements that are conserved. These range in size from 7 to 431 bases and cover 15.6% of the inflammatory region, representing approximately a 4-fold increase compared to the average for vertebrate genomes. About 5.5% of this conserved sequence is marsupial-specific, including three cases of marsupial-specific repeats. Highly Conserved Elements were also characterised. CONCLUSION: Using comparative analysis, we show that a cluster of MHC genes involved in inflammation, including TNF, LTA (or its putative teleost homolog TNF-N), APOM, and BAT3 have remained together for over 450 million years, predating the divergence of mammals from fish. The observed enrichment in conserved sequences within the inflammatory region suggests conservation at the transcriptional regulatory level, in addition to the functional level.

Animals↗

DNA methylation profiling of human chromosomes 6, 20 and 22.

DNA methylation is the most stable type of epigenetic modification modulating the transcriptional plasticity of mammalian genomes. Using bisulfite DNA sequencing, we report high-resolution methylation profiles of human chromosomes 6, 20 and 22, providing a resource of about 1.9 million CpG methylation values derived from 12 different tissues. Analysis of six annotation categories showed that evolutionarily conserved regions are the predominant sites for differential DNA methylation and that a core region surrounding the transcriptional start site is an informative surrogate for promoter methylation. We find that 17% of the 873 analyzed genes are differentially methylated in their 5' UTRs and that about one-third of the differentially methylated 5' UTRs are inversely correlated with transcription. Despite the fact that our study controlled for factors reported to affect DNA methylation such as sex and age, we did not find any significant attributable effects. Our data suggest DNA methylation to be ontogenetically more stable than previously thought.

5' Untranslated Regions↗

Epigenetic variation and inheritance in mammals.

What determines phenotype is one of the most fundamental questions in biology. Historically, the search for answers had focused on genetic or environmental variants, but recent studies in epigenetics have revealed a third mechanism that can influence phenotypic outcomes, even in the absence of genetic or environmental heterogeneity. Even more surprisingly, some epigenetic variants, or epialleles, can be inherited by the offspring, indicating the existence of a mechanism for biological heredity that is not based on DNA sequence. Recent work from mouse models, human monozygotic twin studies, and large-scale epigenetic profiling suggests that epigenetically determined phenotypes and epigenetic inheritance are more common than previously appreciated.

Animals↗

A high-resolution HLA and SNP haplotype map for disease association studies in the extended human MHC.

The proteins encoded by the classical HLA class I and class II genes in the major histocompatibility complex (MHC) are highly polymorphic and are essential in self versus non-self immune recognition. HLA variation is a crucial determinant of transplant rejection and susceptibility to a large number of infectious and autoimmune diseases. Yet identification of causal variants is problematic owing to linkage disequilibrium that extends across multiple HLA and non-HLA genes in the MHC. We therefore set out to characterize the linkage disequilibrium patterns between the highly polymorphic HLA genes and background variation by typing the classical HLA genes and >7,500 common SNPs and deletion-insertion polymorphisms across four population samples. The analysis provides informative tag SNPs that capture much of the common variation in the MHC region and that could be used in disease association studies, and it provides new insight into the evolutionary dynamics and ancestral origins of the HLA loci and their haplotypes.

Genetic Predisposition to Disease↗

Identification of the ancestral killer immunoglobulin-like receptor gene in primates.

BACKGROUND: Killer Immunoglobulin-like Receptors (KIR) are essential immuno-surveillance molecules. They are expressed on natural killer and T cells, and interact with human leukocyte antigens. KIR genes are highly polymorphic and contribute vital variability to our immune system. Numerous KIR genes, belonging to five distinct lineages, have been identified in all primates examined thus far and shown to be rapidly evolving. Since few KIR remain orthologous between species, with only one of them, KIR2DL4, shown to be common to human, apes and monkeys, the evolution of the KIR gene family in primates remains unclear. RESULTS: Using comparative analyses, we have identified the ancestral KIR lineage (provisionally named KIR3DL0) in primates. We show KIR3DL0 to be highly conserved with the identification of orthologues in human (Homo sapiens), common chimpanzee (Pan troglodytes), gorilla (Gorilla gorilla), rhesus monkey (Macaca mulatta) and common marmoset (Callithrix jacchus). We predict KIR3DL0 to encode a functional molecule in all primates by demonstrating expression in human, chimpanzee and rhesus monkey. Using the rhesus monkey as a model, we further show the expression profile to be typical of KIR by quantitative measurement of KIR3DL0 from an enriched population of natural killer cells. CONCLUSION: One reason why KIR3DL0 may have escaped discovery for so long is that, in human, it maps in between two related leukocyte immunoglobulin-like receptor clusters outside the known KIR gene cluster on Chromosome 19. Based on genomic, cDNA, expression and phylogenetic data, we report a novel lineage of immunoglobulin receptors belonging to the KIR family, which is highly conserved throughout 50 million years of primate evolution.

Amino Acid Sequence↗

The leukocyte receptor complex in chicken is characterized by massive expansion and diversification of immunoglobulin-like Loci.

The innate and adaptive immune systems of vertebrates possess complementary, but intertwined functions within immune responses. Receptors of the mammalian innate immune system play an essential role in the detection of infected or transformed cells and are vital for the initiation and regulation of a full adaptive immune response. The genes for several of these receptors are clustered within the leukocyte receptor complex (LRC). The purpose of this study was to carry out a detailed analysis of the chicken (Gallus gallus domesticus) LRC. Bacterial artificial chromosomes containing genes related to mammalian leukocyte immunoglobulin-like receptors were identified in a chicken genomic library and shown to map to a single microchromosome. Sequencing revealed 103 chicken immunoglobulin-like receptor (CHIR) loci (22 inhibitory, 25 activating, 15 bifunctional, and 41 pseudogenes). A very complex splicing pattern was found using transcript analyses and seven hypervariable regions were detected in the external CHIR domains. Phylogenetic and genomic analysis showed that CHIR genes evolved mainly by block duplications from an ancestral inhibitory receptor locus, with transformation into activating receptors occurring more than once. Evolutionary selection pressure has led not only to an exceptional expansion of the CHIR cluster but also to a dramatic diversification of CHIR loci and haplotypes. This indicates that CHIRs have the potential to complement the adaptive immune system in fighting pathogens.

Alternative Splicing↗

Identification of a single killer immunoglobulin-like receptor (KIR) gene in the porcine leukocyte receptor complex on chromosome 6q.

Human killer immunoglobulin-like receptors (KIR) are expressed on natural killer (NK) cells and are involved in their immunoreactivity. While KIR with a long cytoplasmic tail deliver an inhibitory signal when bound to their respective major histocompatibility complex class I ligands, KIR with a short cytoplasmic tail can activate NK responses. The expansion of the KIR gene family originally appeared to be a phenomenon restricted to primates (human, apes, and monkeys) in comparison to rodents, which via convergent evolution have numerous C-type lectin-like Ly49 molecules that function analogously. Further studies have shown that multiple KIR are also present in cow and horse. In this study, we have identified by comparative genomics the first and possibly only KIR gene, named KIR2DL1, in the domesticated pig (Sus scrofa) allowing further evolutionary comparisons to be made. It encodes a protein with two extracellular immunoglobulin domains (D0 + D2), and a long cytoplasmic tail containing two inhibitory motifs. We have mapped the pig KIR2DL1 gene to chromosome 6q. Flanked by LILRa, LILRb, and LILRc, members of the leukocyte immunoglobulin-like receptor (LILR) family, on the centromeric end, and FCAR, NCR1, NALP7, NALP2, and GP6 on the telomeric end, pig demonstrates conservation of synteny with the human leukocyte receptor complex (LRC). Both the porcine KIR and LILR genes have diverged sufficiently to no longer be clearly orthologous with known human LRC family members.

Amino Acid Sequence↗

Genetic analysis of completely sequenced disease-associated MHC haplotypes identifies shuffling of segments in recent human history.

The major histocompatibility complex (MHC) is recognised as one of the most important genetic regions in relation to common human disease. Advancement in identification of MHC genes that confer susceptibility to disease requires greater knowledge of sequence variation across the complex. Highly duplicated and polymorphic regions of the human genome such as the MHC are, however, somewhat refractory to some whole-genome analysis methods. To address this issue, we are employing a bacterial artificial chromosome (BAC) cloning strategy to sequence entire MHC haplotypes from consanguineous cell lines as part of the MHC Haplotype Project. Here we present 4.25 Mb of the human haplotype QBL (HLA-A26-B18-Cw5-DR3-DQ2) and compare it with the MHC reference haplotype and with a second haplotype, COX (HLA-A1-B8-Cw7-DR3-DQ2), that shares the same HLA-DRB1, -DQA1, and -DQB1 alleles. We have defined the complete gene, splice variant, and sequence variation contents of all three haplotypes, comprising over 259 annotated loci and over 20,000 single nucleotide polymorphisms (SNPs). Certain coding sequences vary significantly between different haplotypes, making them candidates for functional and disease-association studies. Analysis of the two DR3 haplotypes allowed delineation of the shared sequence between two HLA class II-related haplotypes differing in disease associations and the identification of at least one of the sites that mediated the original recombination event. The levels of variation across the MHC were similar to those seen for other HLA-disparate haplotypes, except for a 158-kb segment that contained the HLA-DRB1, -DQA1, and -DQB1 genes and showed very limited polymorphism compatible with identity-by-descent and relatively recent common ancestry (<3,400 generations). These results indicate that the differential disease associations of these two DR3 haplotypes are due to sequence variation outside this central 158-kb segment, and that shuffling of ancestral blocks via recombination is a potential mechanism whereby certain DR-DQ allelic combinations, which presumably have favoured immunological functions, can spread across haplotypes and populations.

Chromosome Mapping↗

Immunogenomics: molecular hide and seek.

Similar to other classical science disciplines, immunology has been embracing novel technologies and approaches giving rise to specialised sub-disciplines such as immunogenetics and, more recently, immunogenomics, which, in many ways, is the genome-wide application of immunogenetic approaches. Here, recent progress in the understanding of the immune sub-genome will be reviewed, and the ways in which immunogenomic datasets consisting of genetic and epigenetic variation, linkage disequilibrium and recombination can be harnessed for disease association and evolutionary studies will be discussed. The discussion will focus on data available for the major histocompatibility complex and the leukocyte receptor complex, the two most polymorphic regions of the human immune sub-genome.

Base Sequence↗

A genome-wide survey of Major Histocompatibility Complex (MHC) genes and their paralogues in zebrafish.

BACKGROUND: The genomic organisation of the Major Histocompatibility Complex (MHC) varies greatly between different vertebrates. In mammals, the classical MHC consists of a large number of linked genes (e.g. greater than 200 in humans) with predominantly immune function. In some birds, it consists of only a small number of linked MHC core genes (e.g. smaller than 20 in chickens) forming a minimal essential MHC and, in fish, the MHC consists of a so far unknown number of genes including non-linked MHC core genes. Here we report a survey of MHC genes and their paralogues in the zebrafish genome. RESULTS: Using sequence similarity searches against the zebrafish draft genome assembly (Zv4, September 2004), 149 putative MHC gene loci and their paralogues have been identified. Of these, 41 map to chromosome 19 while the remaining loci are spread across essentially all chromosomes. Despite the fragmentation, a set of MHC core genes involved in peptide transport, loading and presentation are still found in a single linkage group. CONCLUSION: The results extend the linkage information of MHC core genes on zebrafish chromosome 19 and show the distribution of the remaining MHC genes and their paralogues to be genome-wide. Although based on a draft genome assembly, this survey demonstrates an essentially fragmented MHC in zebrafish.

Animals↗

A comparison of tagging methods and their tagging space.

Single-nucleotide polymorphism (SNP) tagging is widely used as a way of saving genotyping costs in association studies. A number of different tagging methods have been developed to reduce the number of markers to be genotyped while maintaining power for detecting effects on non-assayed SNPs. How the different methods perform in different settings, the degree to which they overlap and share common tags and how they differ are important questions. We investigated these questions by comparing three widely used tagging methods/algorithms--one haplotype r2-based method, one pair-wise r2-based method and one method which was based on haplotype diversity but focused on major haplotypes. Tagging efficiency was defined as the number of genotyped markers divided by the number of tagging SNPs. Tagging effectiveness was defined as the proportion of un-genotyped or 'hidden' SNPs being detected (having a pair-wise or haplotype r2 with a set of tagging SNPs over a threshold, e.g. haplotype r2> or =0.80). The ENCODE regions genotyped on the HapMap CEPH individuals were examined in this study. Tagging effectiveness was generally poor for rare SNPs than for common SNPs, for all three tagging methods. Inclusion of rare SNPs into initial HapMap scheme could enhance the performance of tags on rare hidden SNPs at the expense of increased genotyping cost. At a moderate tagging efficiency, more than 90% of hidden SNPs detected by tagging SNPs selected by one method were also detected by tagging SNPs selected by another method, and this figure could be increased to 100% if tagging efficiency was allowed to drop. These results indicate that the tagging space is highly concordant between different tagging methods, despite the fact that they often involve different sets of tagging SNPs.

Algorithms↗

From genome to epigenome.

The success of the human genome sequencing project has created wide-spread interest in exploring the human epigenome in order to elucidate how the genome executes the information it holds. Although all (nucleated) human cells effectively contain the same genome, they contain very different epigenomes depending upon cell type, developmental stage, sex, age and various other parameters. This complexity makes it intrinsically difficult to precisely define 'an' epigenome, let alone 'the' epigenome. What is clear, however, is that in order to unravel any epigenome, existing and novel high-throughput approaches on the DNA, RNA and protein levels need to be harnessed and integrated. Here, we review the current thinking and progress on how to get from the genome to the epigenome(s) and discuss some potential applications.

Base Sequence↗

Chicken TAP genes differ from their human orthologues in locus organisation, size, sequence features and polymorphism.

We have previously shown that in the chicken major histocompatibility complex, the two transporters associated with antigen processing genes (TAP1 and TAP2) are located head to head between two classical class I genes. Here we show that the region between these two TAP genes has transcription factor-binding sites in common with class I gene promoters. The TAP genes are also up-regulated by interferon-gamma in a similar way to mammalian TAP genes and in a way that suggests they are both transcribed from a bi-directional promoter. The gene structures of TAP1 and TAP2 differ from that of human TAPs in that TAP1 has a truncated exon 1 and TAP2 has fused exons, resulting in a much smaller gene size. The truncation of TAP1 results in the loss of approximately 150 amino acids, which are thought to be involved in endoplasmic reticulum retention, heterodimer formation and tapasin binding, compared to human TAP1. Most of the protein sequence features involved in binding ATP are conserved, with two exceptions: chicken TAP1 has a glycine in the switch region where other TAPs have glutamine or histidine, and both chicken TAP genes have serines in the C motif where mammalian TAP2 has an alanine. Lastly, the chicken TAP genes are highly polymorphic, with at least as many TAP alleles as there are class I alleles, as seen by investigating nine inbred lines of chicken. The close proximity of the TAP genes to the class I genes and the high level of polymorphism may allow co-evolution of the genes, allowing TAP molecules to transport peptides specifically for the class I molecules of that haplotype.

ATP-Binding Cassette Transporters↗

Characterization of the chicken C-type lectin-like receptors B-NK and B-lec suggests that the NK complex and the MHC share a common ancestral region.

The sequencing of the chicken MHC led to the identification of two open reading frames, designated B-NK and B-lec, that were predicted to encode C-type lectin domains. C-type lectin domains are not encoded in the MHC of any animal described to date; therefore, this observation was completely unexpected, particularly given that the chicken has a "minimal essential MHC." In this study, we describe the initial characterization of the B-NK and B-lec genes, and show that they share greatest homology with C-type lectin-like receptors encoded in the human NK complex (NKC), in particular NKR-P1 and lectin-like transcript 1 (LLT1), respectively. In common with NKR-P1 and LLT1, B-NK and B-lec are located next to each other and transcribed in opposite orientation. Like human NKR-P1, B-NK has a functional inhibitory signaling motif in the cytoplasmic tail and is expressed in NK cells. In contrast, B-lec contains an endocytosis motif in the cytoplasmic tail, and like LLT1, is an early activation Ag. Further analysis leads us to propose that there are four subgroups of C-type lectin-like receptors in the NKC, which arose as a result of duplication events. Moreover, this analysis suggests that the NKC may be considered a fifth paralogous region, and therefore shares an ancient common origin with the MHC. This provides evidence that C-type lectin-like receptors were present in the preduplication, primordial MHC region, and suggests that an original function of MHC molecules was for recognition by NK cell receptors encoded nearby.

Amino Acid Sequence↗

A high-resolution linkage-disequilibrium map of the human major histocompatibility complex and first generation of tag single-nucleotide polymorphisms.

Autoimmune, inflammatory, and infectious diseases present a major burden to human health and are frequently associated with loci in the human major histocompatibility complex (MHC). Here, we report a high-resolution (1.9 kb) linkage-disequilibrium (LD) map of a 4.46-Mb fragment containing the MHC in U.S. pedigrees with northern and western European ancestry collected by the Centre d'Etude du Polymorphisme Humain (CEPH) and the first generation of haplotype tag single-nucleotide polymorphisms (tagSNPs) that provide up to a fivefold increase in genotyping efficiency for all future MHC-linked disease-association studies. The data confirm previously identified recombination hotspots in the class II region and allow the prediction of numerous novel hotspots in the class I and class III regions. The region of longest LD maps outside the classic MHC to the extended class I region spanning the MHC-linked olfactory-receptor gene cluster. The extended haplotype homozygosity analysis for recent positive selection shows that all 14 outlying haplotype variants map to a single extended haplotype, which most commonly bears HLA-DRB1*1501. The SNP data, haplotype blocks, and tagSNPs analysis reported here have been entered into a multidimensional Web-based database (GLOVAR), where they can be accessed and viewed in the context of relevant genome annotation. This LD map allowed us to give coordinates for the extremely variable LD structure underlying the MHC.

Haplotypes↗

Single haplotype analysis demonstrates rapid evolution of the killer immunoglobulin-like receptor (KIR) loci in primates.

The human killer immunoglobulin-like receptors (KIR) are encoded within the Leukocyte Receptor Complex (LRC) on chromosome 19q13.4. Here we report the comparative genomic analysis of single KIR haplotypes in two other primates. In the common chimpanzee (Pan troglodytes), seven KIR genes (ptKIRnewI, ptKIRnewII, ptKIR2DL5, ptKIRnewIII, ptKIR3DP1, ptKIR2DL4, ptKIR3DL1/2) have been identified, and five KIR genes (mmKIRnewI, mmKIR1D, mmKIR2DL4, mmKIR3DL10, mmKIR3DL1) are present in the haplotype sequenced for the rhesus macaque (Macaca mulatta). Additional cDNA analysis confirms the genes predicted from the genomic sequence and reveals the presence of a fifth novel KIR gene (mmKIRnewII) in the second haplotype of the rhesus macaque. While all known human haplotypes contain both activating and inhibitory KIR genes, only inhibitory KIR genes (characterized by long cytoplasmic tails) were found by in silico and cDNA analyses in the two primate haplotypes studied here. Comparison of the two human and the two non-human primate haplotypes demonstrates rapid diversification of the KIR gene family members, many of which have diverged in a species-specific manner. An analysis of the intronic regions of the two non-human primates reveals the presence of ancient repeat elements, which are indicative of the duplication events that have taken place since the last common ancestor.

Amino Acid Sequence↗

DNA methylation profiling of the human major histocompatibility complex: a pilot study for the human epigenome project.

The Human Epigenome Project aims to identify, catalogue, and interpret genome-wide DNA methylation phenomena. Occurring naturally on cytosine bases at cytosine-guanine dinucleotides, DNA methylation is intimately involved in diverse biological processes and the aetiology of many diseases. Differentially methylated cytosines give rise to distinct profiles, thought to be specific for gene activity, tissue type, and disease state. The identification of such methylation variable positions will significantly improve our understanding of genome biology and our ability to diagnose disease. Here, we report the results of the pilot study for the Human Epigenome Project entailing the methylation analysis of the human major histocompatibility complex. This study involved the development of an integrated pipeline for high-throughput methylation analysis using bisulphite DNA sequencing, discovery of methylation variable positions, epigenotyping by matrix-assisted laser desorption/ionisation mass spectrometry, and development of an integrated public database available at http://www.epigenome.org. Our analysis of DNA methylation levels within the major histocompatibility complex, including regulatory exonic and intronic regions associated with 90 genes in multiple tissues and individuals, reveals a bimodal distribution of methylation profiles (i.e., the vast majority of the analysed regions were either hypo- or hypermethylated), tissue specificity, inter-individual variation, and correlation with independent gene expression data.

CpG Islands↗