Several new risk factors for Crohn's disease have been identified in recent genome-wide association studies. To advance gene discovery further we have combined the data from three studies (a total of 3,230 cases and 4,829 controls) and performed replication in 3,664 independent cases with a mixture of population-based and family-based controls. The results strongly confirm 11 previously reported loci and provide genome-wide significant evidence for 21 new loci, including the regions containing STAT3, JAK2, ICOSLG, CDKAL1, and ITLN1. The expanded molecular understanding of the basis of disease offers promise for informed therapeutic development. NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author ManuscriptThe first genome-wide association studies (GWAS) have identified many common variants associated with complex diseases, and have rapidly expanded our knowledge of the genetic architecture of these traits. Progress in Crohn's disease (CD), a common idiopathic inflammatory bowel disease (IBD) with high heritability (λ s ∼ 20-35), has been especially striking, with recent GWAS publications increasing the number of confirmed associated loci from two to more than ten 1 . The results have identified new pathogenic mechanisms of IBD and promise to advance fundamentally our understanding of CD biology. These recent discoveries highlight, for instance, the key importance of autophagy and innate immunity 2-5 as determinants of the dysregulated host-bacterial interactions implicated in disease pathogenesis. Furthermore, genetic associations have been shown to be shared between CD and other auto-inflammatory conditions -for example, IL23R variants 6 are also associated with psoriasis 7 and ankylosing spondylitis 8 , and PTPN2 variants with type 1 diabetes 3,5 . As in other complex diseases, restricted sample sizes have resulted in early CD studies focusing on only the strongest effects, which turn out to explain only a fraction of the heritability of disease.We recently published three separate GWA scans for CD in European-derived populationsthe details of which are shown in Table 1 4,5,9 . Motivated by the need for larger datasets to improve power to detect loci of modest effect, we carried out a genome-wide meta-analysis from our three CD scans. These analyses, together with a replication study in an equivalently sized, independent panel, have enabled us to identify at genome-wide levels of significance 21 novel Crohn's disease susceptibility genes and loci. This brings the total number of independent loci conclusively associated with Crohn's disease to more than 30 and provides unprecedented insight into both CD pathogenesis as well as the general genetic architecture of a multifactorial disease. Results Meta-analysis of three genome-wide association scansThe combined GWAS study samples (Table 1) consisted of 3,230 cases and 4,829 controls, all of European descent. While the individual scans did identify new risk factors, they were only well-powered to discover common alleles with odds-ratios (ORs) a...

We undertook a meta-analysis of six Crohn's disease genome-wide association studies (GWAS) comprising 6,333 affected individuals (cases) and 15,056 controls and followed up the top association signals in 15,694 cases, 14,026 controls and 414 parent-offspring trios. We identified 30 new susceptibility loci meeting genome-wide significance (P < 5 × 10⁻⁸). A series of in silico analyses highlighted particular genes within these loci and, together with manual curation, implicated functionally interesting candidate genes including SMAD3, ERAP2, IL10, IL2RA, TYK2, FUT2, DNMT3A, DENND1B, BACH2 and TAGAP. Combined with previously confirmed loci, these results identify 71 distinct loci with genome-wide significant evidence for association with Crohn's disease

By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combinedP < 5 × 10−8. These include a second independent signal at the KCNQ1 locus; the first report, to our knowledge, of an X-chromosomal association (near DUSP9); and a further instance of overlap between loci implicated in monogenic and multifactorial forms of diabetes (at HNF1A). The identified loci affect both beta-cell function and insulin action, and, overall, T2D association signals show evidence of enrichment for genes involved in cell cycle regulation. We also show that a high proportion of T2D susceptibility loci harbor independent association signals influencing apparently unrelated complex traits.

We present a genome-wide association study of ileal Crohn's disease (CD) and two independent replication studies that identify five novel regions of association to CD. Specifically, in addition to the previously established CARD15 and IL23R associations, we report strong associations with independent replication to variation in the genomic regions encoding the PHOX2B, NCF4 and ATG16L1 genes, as well as a predicted gene on 16q24.1 (FAM92B) and an intergenic region on 10q21.1. We further demonstrate that the ATG16L1 gene is expressed in intestinal epithelial cell lines and that functional knock down of this gene abrogates autophagy of Salmonella typhimurium. Together these findings suggest that autophagy and host cell responses to intra-cellular microbes are involved in the pathogenesis of CD.Crohn's disease (CD) and ulcerative colitis (UC) represent the two common forms of idiopathic inflammatory bowel disease (IBD), each with a prevalence of roughly 100-150 per 100,000 individuals of European ancestry 1 . CD most commonly involves the ileum and colon but can affect any region of the gut. UC always involves the rectum, and inflammation may extend as far as the cecum in a contiguous pattern 2 . Strong familial aggregation, twin studies and established genetic associations attest to the important role of genetics in IBD pathogenesis [3][4][5] . There is also very strong evidence that the enteric microflora plays a central role in the initiation and maintenance of disease. Therefore, like most complex trait diseases, IBD results from a combination of genetic and non-genetic risk factors, where each individual factor may be expected to have a relatively modest effect on diseaserisk.While a combination of genome-wide linkage, candidate gene and targeted association mapping studies have been successful in the identification of CD-associated genetic variants in CARD15 and the IBD5 haplotype, these explain only a small fraction of the heritability of CD [6][7][8] . We therefore embarked upon a genome-wide association (GWA) study of CD in order to find additional genetic risk factors. Phenotypes for both CD and UC vary considerably among individuals, primarily with regard to sites of inflammation, disease behavior, severity and extraintestinal manifestations. Furthermore, CD site and behavior are likely under genetic control based on clustering within affected sibling pairs 9 , as well as specific observations that CARD15 mutations are a greater risk factor for ileal CD and stricturing behavior 10 . Therefore we have exclusively focused on patients with CD involving the ileal region of the small intestine (with or without other sites of involvement) in an attempt to minimize clinical and genetic heterogeneity. Based on an interim analysis approximately halfway through this study, we identified, confirmed and published the discovery of genetic variants in the IL23R gene that significantly influence risk to developing CD and UC 11 . Specifically at that point, 567 nonJewish ileal CD cases had been scanned and analyz...

We have identified a novel, recurrent microdeletion and a reciprocal microduplication that carry substantial susceptibility to autism and appear to account for approximately 1% of cases. We did not identify other regions with similar aggregations of large de novo mutations.

The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of heritability. To test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole genome sequencing in 2,657 Europeans with and without diabetes, and exome sequencing in a total of 12,940 subjects from five ancestral groups. To increase statistical power, we expanded sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support a major role for lower-frequency variants in predisposition to type 2 diabetes.

We show that relational algebra calculations for incomplete databases, probabilistic databases, bag semantics and whyprovenance are particular cases of the same general algorithms involving semirings. This further suggests a comprehensive provenance representation that uses semirings of polynomials. We extend these considerations to datalog and semirings of formal power series. We give algorithms for datalog provenance calculation as well as datalog evaluation for incomplete and probabilistic databases. Finally, we show that for some semirings containment of conjunctive queries is the same as for standard set semantics.

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...