David van Heel, Cisca Wijmenga and colleagues used a custom, high-density genotyping chip to examine 183 immune-related loci for their role in celiac disease. They report 13 new regions associated with celiac disease risk, identify multiple independent signals at several loci and refine the localization of many previously reported risk signals. Using variants from the 1000 Genomes Project pilot European CEU dataset and data from additional resequencing studies, we densely genotyped 183 non-HLA risk loci previously associated with immune-mediated diseases in 12,041 individuals with celiac disease (cases) and 12,228 controls. We identified 13 new celiac disease risk loci reaching genome-wide significance, bringing the number of known loci (including the HLA locus) to 40. We found multiple independent association signals at over one-third of these loci, a finding that is attributable to a combination of common, low-frequency and rare genetic variants. Compared to previously available data such as those from HapMap3, our dense genotyping in a large sample collection provided a higher resolution of the pattern of linkage disequilibrium and suggested localization of many signals to finer scale regions. In particular, 29 of the 54 fine-mapped signals seemed to be localized to single genes and, in some instances, to gene regulatory elements. Altogether, we define the complex genetic architecture of the risk regions of and refine the risk signals for celiac disease, providing the next step toward uncovering the causal mechanisms of the disease.

Long noncoding RNAs in inflammation: Growing evidence suggests that long noncoding RNAs (lncRNAs) are important modulators of gene expression. Castellanos-Rubio et al. identified a lncRNA, lnc13, that suppresses inflammatory gene expression in macrophages (see the Perspective by Huarte). Lnc13 interacts with proteins that regulate chromatin accessibility. Stimulating macrophages with a cell wall component from bacteria decreased expression of lnc13 and increased the expression of several inflammatory genes. Decreased levels of lnc13 in intestinal tissue from individuals with celiac disease hint that lnc13 may also play a role in the pathogenesis of immune-mediated diseases. Science , this issue p. 91 ; see also p. 43

DNA methylation profiles associated with childhood asthma might provide novel insights into disease pathogenesis. We did an epigenome-wide association study to assess methylation profiles associated with childhood asthma. We did a large-scale epigenome-wide association study (EWAS) within the Mechanisms of the Development of ALLergy (MeDALL) project. We examined epigenome-wide methylation using Illumina Infinium Human Methylation450 BeadChips (450K) in whole blood in 207 children with asthma and 610 controls at age 4-5 years, and 185 children with asthma and 546 controls at age 8 years using a cross-sectional case-control design. After identification of differentially methylated CpG sites in the discovery analysis, we did a validation study in children (4-16 years; 247 cases and 2949 controls) from six additional European cohorts and meta-analysed the results. We next investigated whether replicated CpG sites in cord blood predict later asthma in 1316 children. We subsequently investigated cell-type-specific methylation of the identified CpG sites in eosinophils and respiratory epithelial cells and their related gene-expression signatures. We studied cell-type specificity of the asthma association of the replicated CpG sites in 455 respiratory epithelial cell samples, collected by nasal brushing of 16-year-old children as well as in DNA isolated from blood eosinophils (16 with asthma, eight controls [age 2-56 years]) and compared this with whole-blood DNA samples of 74 individuals with asthma and 93 controls (age 1-79 years). Whole-blood transcriptional profiles associated with replicated CpG sites were annotated using RNA-seq data of subsets of peripheral blood mononuclear cells sorted by fluorescence-activated cell sorting. 27 methylated CpG sites were identified in the discovery analysis. 14 of these CpG sites were replicated and passed genome-wide significance (p<1·14 × 10-7) after meta-analysis. Consistently lower methylation levels were observed at all associated loci across childhood from age 4 to 16 years in participants with asthma, but not in cord blood at birth. All 14 CpG sites were significantly associated with asthma in the second replication study using whole-blood DNA, and were strongly associated with asthma in purified eosinophils. Whole-blood transcriptional signatures associated with these CpG sites indicated increased activation of eosinophils, effector and memory CD8 T cells and natural killer cells, and reduced number of naive T cells. Five of the 14 CpG sites were associated with asthma in respiratory epithelial cells, indicating cross-tissue epigenetic effects. Reduced whole-blood DNA methylation at 14 CpG sites acquired after birth was strongly associated with childhood asthma. These CpG sites and their associated transcriptional profiles indicate activation of eosinophils and cytotoxic T cells in childhood asthma. Our findings merit further investigations of the role of epigenetics in a clinical context. EU and the Seventh Framework Programme (the MeDALL project).

Context: Several endocrine disorders that share resistance to PTH are grouped under the term pseudohypoparathyroidism (PHP). PHP type I, associated with blunted PTH-induced nephrogenous cAMP formation and phosphate excretion, is subdivided according to the presence or absence of additional endocrine abnormalities, Albright’s hereditary osteodystrophy (AHO), and reduced Gsα activity caused by GNAS mutations. Objective: We sought to identify the molecular defect in four unrelated patients who were thought to have PHP-Ia because of PTH and TSH resistance and mild AHO features. Methods: Gsα activity and mutation analysis, and assessment of GNAS haplotype, methylation, and gene expression were performed for probands and family members. Results: Two patients showed modest decreases in erythrocyte Gsα activity. Instead of Gsα point mutations, however, all four patients showed methylation defects of the GNAS locus, a feature previously described only for PHP-Ib. Furthermore, one patient with an isolated loss of GNAS exon A/B methylation had the 3-kb STX16 deletion frequently identified in PHP-Ib patients. In all but one of the remaining patients, haplotype analysis excluded large deletions or uniparental disomy as the cause of the observed methylation changes. Conclusions: Our investigations indicate that an overlap may exist between molecular and clinical features of PHP-Ia and PHP-Ib. No current mechanisms can explain the AHO-like features of our patients, some of which may not be linked to GNAS. Therefore, patients with hormone resistance and AHO-like features in whom coding Gsα mutations have been excluded should be evaluated for epigenetic alterations within GNAS.

Background The majority of coeliac disease (CD) patients are not being properly diagnosed and therefore remain untreated, leading to a greater risk of developing CD-associated complications. The major genetic risk heterodimer, HLA-DQ2 and DQ8, is already used clinically to help exclude disease. However, approximately 40% of the population carry these alleles and the majority never develop CD. Objective We explored whether CD risk prediction can be improved by adding non-HLA-susceptible variants to common HLA testing. Design We developed an average weighted genetic risk score with 10, 26 and 57 single nucleotide polymorphisms (SNP) in 2675 cases and 2815 controls and assessed the improvement in risk prediction provided by the non-HLA SNP. Moreover, we assessed the transferability of the genetic risk model with 26 non-HLA variants to a nested case–control population (n=1709) and a prospective cohort (n=1245) and then tested how well this model predicted CD outcome for 985 independent individuals. Results Adding 57 non-HLA variants to HLA testing showed a statistically significant improvement compared to scores from models based on HLA only, HLA plus 10 SNP and HLA plus 26 SNP. With 57 non-HLA variants, the area under the receiver operator characteristic curve reached 0.854 compared to 0.823 for HLA only, and 11.1% of individuals were reclassified to a more accurate risk group. We show that the risk model with HLA plus 26 SNP is useful in independent populations. Conclusions Predicting risk with 57 additional non-HLA variants improved the identification of potential CD patients. This demonstrates a possible role for combined HLA and non-HLA genetic testing in diagnostic work for CD.

Celiac disease (CD) is an immunological disorder caused by intolerance to ingested gliadin and other cereal prolamins that has been included in the T(H)1-dominated group of diseases, where IL-12 induced IFNgamma is the major proinflamatory signal. Recently, another linage of T cells has been described, namely T(H)17, characterized by production of IL-17, that differentiate in response to TGFbeta and IL-6 and participate in the pathogenesis of several autoimmune diseases. Using RT-PCR analysis of gene expression, we analyzed the presence of T(H)1 (IL-12 and IFNgamma) and T(H)17 (TGFbeta, IL-6, IL-17A, IL-17F and IL-23) related cytokines in intestinal biopsies from CD patients with active disease compared to remission and from treated patients after acute, in vitro re-exposure to gliadin. Potent T(H)1 and T(H)17 responses were present in the active stage of the disease, whereas short incubation of normalized biopsies with gliadin did not increase the expression of the effector cytokines, although a tendency of upregulation for both T(H)1 and T(H)17 promoting factors was observed, suggestive of a reactivation of proinflammatory pathways. These results place CD into the group of autoimmune disorders in which T(H)17 cells also participate, although the relative importance of each T cell response and their role in the initial events of the disease need further investigation.