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Smoking behavior has been associated in two independent European cohorts with the most common Caucasian human leukocyte antigen (HLA) haplotype (A1-B8-DR3). We aimed to test whether polymorphic members of the two odorant receptor (OR) clusters within the extended HLA complex might be responsible for the observed association, by genotyping a cohort of Hungarian women in which the mentioned association had been found. One hundred and eighty HLA haplotypes from Centre d'Etude du Polymorphisme Humain families were analyzed in silico to identify single-nucleotide polymorphisms (SNPs) within OR genes that are in linkage disequilibrium with the A1-B8-DR3 haplotype, as well as with two other haplotypes indirectly linked to smoking behavior. A nonsynonymous SNP within the OR12D3 gene (rs3749971T) was found to be linked to the A1-B8-DR3 haplotype. This polymorphism leads to a 97Thr→Ile exchange that affects a putative ligand binding region of the OR12D3 protein. Smoking was found to be associated in the Hungarian cohort with the rs3749971T allele (p=1.05×10-2), with higher significance than with A1-B8-DR3 (p=2.38×10-2). Our results link smoking to a distinct OR allele, and demonstrate that the rs3749971T polymorphism is associated with the HLA haplotype-dependent differential recognition of cigarette smoke components, at least among Caucasian women. © Copyright 2008, Mary Ann Liebert, Inc. 2008. Fil: Santos, Pablo Sandro Carvalho. Charité – Universitätsmedizin Berlin; Fil: Füst, George. Semmelweis Egyetem; Fil: Prohászka, Zoltán. Magyar Tudomanyos Akademia; . Semmelweis Egyetem; Fil: Volz, Armin. Charité – Universitätsmedizin Berlin; Fil: Horton, Roger. Wellcome Trust Sanger Institute; Fil: Miretti, Marcos Mateo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Wellcome Trust Sanger Institute; Fil: Yu, Chack-Yung. Ohio State University; Estados Unidos Fil: Beck, Stephan G.. Ucl Cancer Institute; Fil: Uchanska-Ziegler, Barbara. Charité – Universitätsmedizin Berlin; Fil: Ziegler, Andreas. Charité – Universitätsmedizin Berlin

It is well established that the major histocompatibility complex (MHC) on chromosome 6p21 contains at least one gene that influences susceptibility to multiple sclerosis.1–6 Although this association was first identified more than 30 years ago1 through the study of class I human leukocyte antigens (HLAs), it was quickly realized that this signal was predominantly, if not exclusively, the result of linkage disequilibrium (LD) with class II HLA genes, and that these exert the primary effect on susceptibility.7, 8 The complex nature of the MHC, especially its high gene content, extreme polymorphism, and extensive LD,9 has confounded efforts to resolve the nature of the MHC association in multiple sclerosis, although progress and useful clarifications have been made, especially in recent years. In virtually every population studied, multiple sclerosis is found to be associated with the DRB1*1501 allele.10 The only exceptions are those populations where this allele has a low frequency, and analysis is therefore underpowered; but even in these situations, DRB1*1501 is generally overrepresented in cases.11 The DRB1*1501 allele is carried on a particularly extensive haplotype,12 the most common DR15 haplotype found in white Europeans. As a result, many variants from flanking genes, even some located quite a distance from DRB1, have sufficient LD with DRB1*1501 that they invariably also show evidence for association with the disease in any population where association with DRB1*1501 can be demonstrated.11, 13–17 This extensive LD has made it difficult to establish which of the variants making up this haplotype is primarily responsible for the association. The distinction between DRB1*1501 and DQB1*0602 has been particularly taxing because the LD between these closely mapped genes is especially tight in those populations where the disease is frequent, that is, white Europeans and their migrant descendants. However, recent studies in the admixed African American population indicate the supremacy of the DRB1*1501 allele.18 In the presence of one susceptibility allele it is difficult to identify effects attributable to a second allele,19 especially if the second allele exerts a more modest effect or has a low frequency, or both. However, by analyzing populations where DR15 haplotypes are less common, and by using large cohorts, it has been possible to demonstrate that the DRB1*0301 allele also confers susceptibility to multiple sclerosis, thereby confirming allelic heterogeneity at the DRB1 locus.4, 6, 18, 20 Furthermore available evidence suggests that the susceptibility effects of the DRB1*1501 allele may be modulated by other DRB1 alleles.6, 20 The relation between the MHC and multiple sclerosis is further complicated by the accumulating evidence suggesting that MHC loci mapping outside DRB1 also influence susceptibility to the disease.11, 13–16 Work in animal models suggests that clustering of susceptibility loci is a common phenomenon in complex disease,21 and it therefore appears reasonable to expect that other genes from the MHC region may influence susceptibility to multiple sclerosis. The observation of positive logarithm of odds scores in the MHC region in linkage studies stratified for the effects of DRB1 supports the existence of secondary loci,22–24 although none of these data reaches a level providing statistical confidence. In considering these linkage data, it is important to remember that early linkage studies in multiple sclerosis25–27 were significantly underpowered,28 to the point that they could not even convincingly demonstrate evidence for linkage resulting from the effects of DRB1. Confirmation of linkage in this region has been established only in more recent studies involving many hundreds of families.23, 24, 29 Given the inherently limited resolution of linkage-based studies,28 the absence of statistically significant linkage in the MHC region after exclusion of primary effects attributable to DRB1 does not exclude the presence of secondary loci. Several authors have attempted to identify secondary loci using more powerful association-based methods. Two groups have typed dense microsatellite maps of the region and both found evidence for a secondary locus maximal in a region close to HLA-A: one group identifying the marker D6S1683 just telomeric of HLA-A,11 and the second group implicating a region including HLA-A extending from MOGCA to D6S265 marker.14 Follow-up studies in Norway also found evidence implicating the D6S265 marker.16 In another smaller study, a microsatellite marker close to HLA-C (marker C1_3_2) also showed evidence for an independent effect.15 In contrast, a systematic effort to screen the MHC and flanking regions using single nucleotide polymorphisms (SNPs) found no evidence for association beyond that attributable to DRB1*1501, although this study was limited by a high genotyping failure rate (40%) and, more importantly, a distribution of markers leaving regions close to the classical loci essentially unexplored.17 In all of these studies, statistical power has inevitably been reduced by the processes required to filter out the primary effect attributable to DRB1 and the large correction required for multiple testing. Unfortunately, none of the published studies has used sufficient samples to compensate for these statistical penalties, and thus none is able to provide unequivocal evidence supporting any particular secondary locus.

DNA methylation constitutes the most stable type of epigenetic modifications modulating the transcriptional plasticity of mammalian genomes. Using bisulfite DNA sequencing, we report high-resolution methylation reference 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 6 annotation categories, revealed evolutionary conserved regions to be the predominant sites for differential DNA methylation and a core region surrounding the transcriptional start site as informative surrogate for promoter methylation. We find 17% of the 873 analyzed genes differentially methylated in their 5′-untranslated regions (5′-UTR) and about one third of the differentially methylated 5′-UTRs to be inversely correlated with transcription. While our study was 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.

The major histocompatibility complex (MHC) is the most important region in the vertebrate genome with respect to infection and autoimmunity, and is crucial in adaptive and innate immunity. Decades of biomedical research have revealed many MHC genes that are duplicated, polymorphic and associated with more diseases than any other region of the human genome. The recent completion of several large-scale studies offers the opportunity to assimilate the latest data into an integrated gene map of the extended human MHC. Here, we present this map and review its content in relation to paralogy, polymorphism, immune function and disease.

Chromosome 9 is highly structurally polymorphic. It contains the largest autosomal block of heterochromatin, which is heteromorphic in 6–8% of humans, whereas pericentric inversions occur in more than 1% of the population. The finished euchromatic sequence of chromosome 9 comprises 109,044,351 base pairs and represents >99.6% of the region. Analysis of the sequence reveals many intra- and interchromosomal duplications, including segmental duplications adjacent to both the centromere and the large heterochromatic block. We have annotated 1,149 genes, including genes implicated in male-to-female sex reversal, cancer and neurodegenerative disease, and 426 pseudogenes. The chromosome contains the largest interferon gene cluster in the human genome. There is also a region of exceptionally high gene and G + C content including genes paralogous to those in the major histocompatibility complex. We have also detected recently duplicated genes that exhibit different rates of sequence divergence, presumably reflecting natural selection.

Olfactory receptor (OR) loci frequently cluster and are present on most human chromosomes. They are members of the seven transmembrane receptor (7-TM) superfamily and, as such, are part of one of the largest mammalian multigene families, with an estimated copy number of up to 1000 ORs per haploid genome. As their name implies, ORs are known to be involved in the perception of odors and possibly also in other, nonolfaction-related, functions. Here, we report the characterization of ORs that are part of the MHC-linked OR clusters in human and mouse (partial sequence only). These clusters are of particular interest because of their possible involvement in olfaction-driven mate selection. In total, we describe 50 novel OR loci (36 human, 14 murine), making the human MHC-linked cluster the largest sequenced OR cluster in any organism so far. Comparative and phylogenetic analyses confirm the cluster to be MHC-linked but divergent in both species and allow the identification of at least one ortholog that will be useful for future regulatory and functional studies. Quantitative feature analysis shows clear evidence of duplications of blocks of OR genes and reveals the entire cluster to have a genomic environment that is very different from its neighboring regions. Based on in silico transcript analysis, we also present evidence of extensive long-distance splicing in the 5′-untranslated regions and, for the first time, of alternative splicing within the single coding exon of ORs. Taken together with our previous finding that ORs are also polymorphic, the presented data indicate that the expression, function, and evolution of these interesting genes might be more complex than previously thought.[The sequence data described in this paper have been submitted to the EMBL nucleotide data library under accession nos.Z84475, Z98744, Z98745, AL021807, AL021808, AL022723, AL022727,AL031893, AL035402, AL035542, AL050328, AL050339, AL078630, AL096770,AL121944, AL133160, and AL133267.]

There is increasing evidence for epistatic interactions between gene products (e.g. KIR) encoded within the Leukocyte Receptor Complex (LRC) with those (e.g. HLA) of the Major Histocompatibility Complex (MHC), resulting in susceptibility to disease. Identification of such associations at the DNA level requires comprehensive knowledge of the genetic variation and haplotype structure of the underlying loci. The LRC haplotype project aims to provide this knowledge by sequencing common LRC haplotypes.

The human major histocompatibility complex (MHC) is contained within about 4 Mb on the short arm of chromosome 6 and is recognised as the most variable region in the human genome. The primary aim of the MHC Haplotype Project was to provide a comprehensively annotated reference sequence of a single, human leukocyte antigen-homozygous MHC haplotype and to use it as a basis against which variations could be assessed from seven other similarly homozygous cell lines, representative of the most common MHC haplotypes in the European population. Comparison of the haplotype sequences, including four haplotypes not previously analysed, resulted in the identification of >44,000 variations, both substitutions and indels (insertions and deletions), which have been submitted to the dbSNP database. The gene annotation uncovered haplotype-specific differences and confirmed the presence of more than 300 loci, including over 160 protein-coding genes. Combined analysis of the variation and annotation datasets revealed 122 gene loci with coding substitutions of which 97 were non-synonymous. The haplotype (A3-B7-DR15; PGF cell line) designated as the new MHC reference sequence, has been incorporated into the human genome assembly (NCBI35 and subsequent builds), and constitutes the largest single-haplotype sequence of the human genome to date. The extensive variation and annotation data derived from the analysis of seven further haplotypes have been made publicly available and provide a framework and resource for future association studies of all MHC-associated diseases and transplant medicine. © 2007 The Author(s). Fil: Horton, Roger. Wellcome Trust Sanger Institute; Reino Unido Fil: Gibson, Richard. Wellcome Trust Sanger Institute; Reino Unido Fil: Coggill, Penny. Wellcome Trust Sanger Institute; Reino Unido Fil: Miretti, Marcos Mateo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina. Wellcome Trust Sanger Institute; Reino Unido Fil: Allcock, Richard J.. University of Western Australia; Australia Fil: Almeida, Jeff. Wellcome Trust Sanger Institute; Reino Unido Fil: Forbes, Simon. Wellcome Trust Sanger Institute; Reino Unido Fil: Gilbert, James G. R.. Wellcome Trust Sanger Institute; Reino Unido Fil: Halls, Karen. Wellcome Trust Sanger Institute; Reino Unido. University of Cambridge; Reino Unido Fil: Harrow, Jennifer L.. Wellcome Trust Sanger Institute; Reino Unido Fil: Hart, Elizabeth. Wellcome Trust Sanger Institute; Reino Unido Fil: Howe, Kevin. Cruk Cambridge Research Institute; Reino Unido Fil: Jackson, David K.. Wellcome Trust Sanger Institute; Reino Unido Fil: Palmer, Sophie. Wellcome Trust Sanger Institute; Reino Unido Fil: Roberts, Anne N.. University of Cambridge; Reino Unido Fil: Sims, Sarah. Wellcome Trust Sanger Institute; Reino Unido Fil: Stewart, C. Andrew. National Cancer Institute At Frederick; Estados Unidos Fil: Traherne, James A.. University of Cambridge; Reino Unido Fil: Trevanion, Steve. Wellcome Trust Sanger Institute; Reino Unido Fil: Wilming, Laurens. Wellcome Trust Sanger Institute; Reino Unido Fil: Rogers, Jane. Wellcome Trust Sanger Institute; Reino Unido Fil: De Jong, Pieter J.. Children's Hospital Oakland Research Institute; Estados Unidos Fil: Elliott, John F.. University of Alberta; Canadá Fil: Sawcer, Stephen. University of Cambridge; Reino Unido Fil: Todd, John A.. University of Cambridge; Reino Unido Fil: Trowsdale, John. University of Cambridge; Reino Unido Fil: Beck, Stephan G.. Wellcome Trust Sanger Institute; Reino Unido

The future systematic mapping of variants that confer susceptibility to common diseases requires the construction of a fully informative polymorphism map. Ideally, every base pair of the genome would be sequenced in many individuals. Here, we report 4.75 Mb of contiguous sequence for each of two common haplotypes of the major histocompatibility complex (MHC), to which susceptibility to >100 diseases has been mapped. The autoimmune disease-associated-haplotypes HLA-A3-B7-Cw7-DR15 and HLA-A1-B8-Cw7-DR3 were sequenced in their entirety through a bacterial artificial chromosome (BAC) cloning strategy using the consanguineous cell lines PGF and COX, respectively. The two sequences were annotated to encompass all described splice variants of expressed genes. We defined the complete variation content of the two haplotypes, revealing >18,000 variations between them. Average SNP densities ranged from less than one SNP per kilobase to >60. Acquisition of complete and accurate sequence data over polymorphic regions such as the MHC from large-insert cloned DNA provides a definitive resource for the construction of informative genetic maps, and avoids the limitation of chromosome regions that are refractory to PCR amplification.

Comparison of genomic sequences flanking the HLA-DQB1 locus in the human MHC class II region reveals local sequence variation of up to 10%, which is the highest level of sequence variation found in the human genome so far. The variation is haplotype-specific and extends far beyond the transcriptional unit of the DQB1 gene, suggesting hitch-hiking along with functionally selected alleles as the most likely mechanism. All major insertions/deletions (indels) were found to be of retroviral origin and in the immediate upstream region of DQB1. Possible cis-acting effects of these indels on the transcriptional regulation of DQB1 are discussed.

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 (, Synopsis A group of genes involved in the human immune system are contained within a surprisingly short section of Chromosome 6 that has long been recognised as the most important genomic region in relation to disease susceptibility. Discerning the actual genes playing a role in disease has proved difficult mainly because the region contains numerous genes and is also the most genetically variable in the genome. Within this jungle of variation, the research reported here has identified and characterised a discrete segment shared by two individuals that is virtually devoid of variation—a polymorphism desert. The conservation of this segment amongst a background of extreme variation suggests both an ancient origin and genetic exchange in early human history. These observations are important in evolutionary terms as they reveal a potential mechanism whereby certain genetic segments associated with favourable immune functions have spread across human populations. Within medical terms this may also explain contrasting disease risks in people from different ethnic backgrounds. Public access to these data will help researchers find specific variants conferring disease susceptibility or resistance and, as in this report, rule out regions for conveying specificity to certain diseases.

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.