The proteins encoded by the classical HLA class I and class II genes in the major histocompatibility complex (MHC) are highly polymorphic and play an essential role in self/nonself immune recognition. HLA variation is a crucial determinant of transplant rejection and susceptibility to a large number of infectious and autoimmune disease1. Yet identification of causal variants is problematic due to linkage disequilibrium (LD) that extends across multiple HLA and non-HLA genes in the MHC2,3. We therefore set out to characterize the LD patterns between the highly polymorphic HLA genes and background variation by typing the classical HLA genes and >7,500 common single nucleotide polymorphisms (SNPs) and deletion/insertion polymorphisms (DIPs) across four population samples. The analysis provides informative tag SNPs that capture some of the variation in the MHC region and that could be used in initial Corresponding author: John D. Rioux, Montreal Heart Institute, 5000 Rue Bélanger, Montréal, Québec, Canada, H1T 1C8, E-mail: rioux@broad.mit.edu. 16 These authors contributed equally All data will be available at the following sites: http://www.broad.mit.edu/mpg/idrg/projects/hla/ http://www.sanger.ac.uk/HGP/Chr6/ http://www.glovar.org COMPETING FINANCIAL INTEREST STATEMENTThe authors declare that they have no competing financial interests. Numerous studies have demonstrated association between HLA alleles and disease susceptibility (a partial list is provided in Table 1 and Supplementary Table 1), but the interpretation of these results is confounded by the strong correlation between alleles at neighboring HLA and non-HLA genes. Major efforts have therefore been directed at cataloguing the gene and variation content of the entire MHC4-6. In addition, previous studies in European-derived populations have examined the distribution of LD across the region and have suggested that SNPs could help dissect causal variation within the MHC2,3,7-10. Here, we have created a resource to guide future association studies by genotyping genetic variants across the extended MHC region of 7.5 Mb at a higher density and in more DNA samples than previously reported. In 361 individuals of African (YRI), European (CEU), Chinese (CHB), and Japanese (JPT) ancestry, the inferred haplotype structure across the region shows that LD is systematically higher in CEU, CHB and JPT samples than in the YRI sample (Fig. 1). Alleles across the different classical HLA loci demonstrate strong correlation (Supplementary Table 2). These high levels of LD among SNPs and DIPs and among HLA alleles suggest that SNPs outside the HLA genes are informative about HLA types (Fig. 2a), and that a few, well chosen SNPs may capture common classical HLA variation at several loci. Europe PMC Funders GroupWe examined the association between HLA types and single SNPs across the entire region. Fig. 2b shows the results for HLA-C (see Supplementary Fig. 1 for the other HLA genes). In the four populations studied, 34-44% of the HLA alleles present are strongly associa...

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The two main phenotypes of inflammatory bowel disease (IBD)--Crohn's disease (CD) and ulcerative colitis (UC)--are chronic intestinal inflammatory disorders with a complex genetic background. Using a three-stage design, we performed a functional candidate-gene analysis of innate immune pathway in IBD. In phase I, we typed 354 SNPs from 85 innate immunity genes in 520 Dutch IBD patients (284 CD, 236 UC) and 808 controls. In phase II, ten autosomal SNPs showing association at p < 0.006 in phase I were replicated in a second cohort of 545 IBD patients (326 CD, 219 UC) and 360 controls. In phase III, four SNPs with p < 0.01 in the combined phase I and phase II analysis were genotyped in an additional 786 IBD samples (452 CD, 334 UC) and 768 independent controls. Joint analysis of 1851 IBD patients (1062 CD, 789 UC) and 1936 controls demonstrated strong association to the IL18RAP rs917997 SNP for both CD and UC (p(IBD) 1.9 x 10(-8); OR 1.35). Association in CD is independently supported by the Crohn's disease dataset of the Wellcome Trust Case Control Consortium (imputed SNP rs917997, p = 9.19 x 10(-4)). In addition, an association of the CARD9 rs10870077 SNP to CD and UC was observed (p(IBD) = 3.25 x 10(-5); OR 1.21). Both genes are located in extended haplotype blocks on 2q11-2q12 and 9q34.3, respectively. Our results indicate two IBD loci and further support the importance of the innate immune system in the predisposition to both CD and UC.

A genome scan was performed on 164 Dutch affected sib pairs (ASPs) with attention-deficit/hyperactivity disorder (ADHD). All subjects were white and of Dutch descent and were phenotyped according to criteria set out in the Diagnostic and Statistical Manual Of Mental Disorders, 4th edition. Initially, a narrow phenotype was defined, in which all the sib pairs met the full ADHD criteria (117 ASPs). In a broad phenotype, additional sib pairs were included, in which one child had an autistic-spectrum disorder but also met the full ADHD criteria (164 ASPs). A set of 402 polymorphic microsatellite markers with an average intermarker distance of 10 cM was genotyped and analyzed using the Mapmaker/sibs program. Regions with multipoint maximum likelihood scores (MLSs) >1.5 in both phenotypes were fine mapped with additional markers. This genome scan indicated several regions of interest, two of which showed suggestive evidence for linkage. The most promising chromosome region was located at 15q, with an MLS of 3.54 under the broad phenotype definition. This region was previously implicated in reading disability and autism. In addition, MLSs of 3.04 and 2.05 were found for chromosome regions 7p and 9q in the narrow phenotype. Except for a region on chromosome 5, no overlap was found with regions mentioned in the only other independent genome scan in ADHD reported to date.

BackgroundThe HLA genes, located in the MHC region on chromosome 6p21.3, play an important role in many autoimmune disorders, such as celiac disease (CD), type 1 diabetes (T1D), rheumatoid arthritis, multiple sclerosis, psoriasis and others. Known HLA variants that confer risk to CD, for example, include DQA1*05/DQB1*02 (DQ2.5) and DQA1*03/DQB1*0302 (DQ8). To diagnose the majority of CD patients and to study disease susceptibility and progression, typing these strongly associated HLA risk factors is of utmost importance. However, current genotyping methods for HLA risk factors involve many reactions, and are complicated and expensive. We sought a simple experimental approach using tagging SNPs that predict the CD-associated HLA risk factors.MethodologyOur tagging approach exploits linkage disequilibrium between single nucleotide polymorphism (SNPs) and the CD-associated HLA risk factors DQ2.5 and DQ8 that indicate direct risk, and DQA1*0201/DQB1*0202 (DQ2.2) and DQA1*0505/DQB1*0301 (DQ7) that attribute to the risk of DQ2.5 to CD. To evaluate the predictive power of this approach, we performed an empirical comparison of the predicted DQ types, based on these six tag SNPs, with those executed with current validated laboratory typing methods of the HLA-DQA1 and -DQB1 genes in three large cohorts. The results were validated in three European celiac populations.ConclusionUsing this method, only six SNPs were needed to predict the risk types carried by >95% of CD patients. We determined that for this tagging approach the sensitivity was >0.991, specificity >0.996 and the predictive value >0.948. Our results show that this tag SNP method is very accurate and provides an excellent basis for population screening for CD. This method is broadly applicable in European populations.