Genome-wide association studies have identified thousands of loci for common diseases, but, for the majority of these, the mechanisms underlying disease susceptibility remain unknown. Most associated variants are not correlated with protein-coding changes, suggesting that polymorphisms in regulatory regions probably contribute to many disease phenotypes. Here we describe the Genotype-Tissue Expression (GTEx) project, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues
Understanding the functional consequences of genetic variation, and how it affects complex human disease and quantitative traits, remains a critical challenge for biomedicine. We present an analysis of RNA sequencing data from 1641 samples across 43 tissues from 175 individuals, generated as part of the pilot phase of the Genotype-Tissue Expression (GTEx) project. We describe the landscape of gene expression across tissues, catalog thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants, describe complex network relationships, and identify signals from genome-wide association studies explained by eQTLs. These findings provide a systematic understanding of the cellular and biological consequences of human genetic variation and of the heterogeneity of such effects among a diverse set of human tissues.
Crohn's disease is a chronic inflammatory disorder of the gastrointestinal tract, which is thought to result from the effect of environmental factors in a genetically predisposed host. A gene location in the pericentromeric region of chromosome 16, IBD1, that contributes to susceptibility to Crohn's disease has been established through multiple linkage studies, but the specific gene(s) has not been identified. NOD2, a gene that encodes a protein with homology to plant disease resistance gene products is located in the peak region of linkage on chromosome 16 (ref. 7). Here we show, by using the transmission disequilibium test and case-control analysis, that a frameshift mutation caused by a cytosine insertion, 3020insC, which is expected to encode a truncated NOD2 protein, is associated with Crohn's disease. Wild-type NOD2 activates nuclear factor NF-kappaB, making it responsive to bacterial lipopolysaccharides; however, this induction was deficient in mutant NOD2. These results implicate NOD2 in susceptibility to Crohn's disease, and suggest a link between an innate immune response to bacterial components and development of disease.
The inflammatory bowel diseases Crohn's disease and ulcerative colitis are common, chronic disorders that cause abdominal pain, diarrhea, and gastrointestinal bleeding. To identify genetic factors that might contribute to these disorders, we performed a genome-wide association study.
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...
Genome-wide association studies (GWAS) have identified thousands of variants robustly associated with complex traits. However, the biological mechanisms underlying these associations are, in general, not well understood. We propose a gene-based association method called PrediXcan that directly tests the molecular mechanisms through which genetic variation affects phenotype. The approach estimates the component of gene expression determined by an individual’s genetic profile and correlates the “imputed” gene expression with the phenotype under investigation to identify genes involved in the etiology of the phenotype. The genetically regulated gene expression is estimated using whole-genome tissue-dependent prediction models trained with reference transcriptome datasets. PrediXcan enjoys the benefits of gene-based approaches such as reduced multiple testing burden and a principled approach to the design of follow-up experiments. Our results demonstrate that PrediXcan can detect known and novel genes associated with disease traits and provide insights into the mechanism of these associations.
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...
Although genome-wide association studies (GWAS) of complex traits have yielded more reproducible associations than had been discovered using any other approach, the loci characterized to date do not account for much of the heritability to such traits and, in general, have not led to improved understanding of the biology underlying complex phenotypes. Using a web site we developed to serve results of expression quantitative trait locus (eQTL) studies in lymphoblastoid cell lines from HapMap samples (http://www.scandb.org), we show that single nucleotide polymorphisms (SNPs) associated with complex traits (from http://www.genome.gov/gwastudies/) are significantly more likely to be eQTLs than minor-allele-frequency–matched SNPs chosen from high-throughput GWAS platforms. These findings are robust across a range of thresholds for establishing eQTLs (p-values from 10−4–10−8), and a broad spectrum of human complex traits. Analyses of GWAS data from the Wellcome Trust studies confirm that annotating SNPs with a score reflecting the strength of the evidence that the SNP is an eQTL can improve the ability to discover true associations and clarify the nature of the mechanism driving the associations. Our results showing that trait-associated SNPs are more likely to be eQTLs and that application of this information can enhance discovery of trait-associated SNPs for complex phenotypes raise the possibility that we can utilize this information both to increase the heritability explained by identifiable genetic factors and to gain a better understanding of the biology underlying complex traits.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.