Mapping DNA interaction landscapes in psoriasis susceptibility loci highlights KLF4 as a target gene in 9q31
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ABSTRACT:
PROVIDER: PRJNA573841 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10168900_1.fastq.gz | Fastqsanger.gz | |||
| SRR10168900_2.fastq.gz | Fastqsanger.gz | |||
| SRR10168901_1.fastq.gz | Fastqsanger.gz | |||
| SRR10168901_2.fastq.gz | Fastqsanger.gz | |||
| SRR10168902_1.fastq.gz | Fastqsanger.gz |
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Project description:Background: Genome-wide association studies (GWAS) have uncovered many genetic risk loci for psoriasis, yet many remain uncharacterised in terms of the causal gene and their biological mechanism in disease. This is largely a result of the findings that over 90% of GWAS variants map outside of protein-coding DNA, and instead are enriched in cell type and stimulation-specific gene regulatory regions. Results: Here, we use a disease-focused Capture Hi-C (CHi-C) experiment to link psoriasis-associated variants with their target genes in psoriasis-relevant cell lines (HaCaT keratinocytes and My-La CD8+ T cells). We confirm previously assigned genes, suggest novel candidates and provide evidence for complexity at psoriasis GWAS loci. For one locus, uniquely, we combine further epigenomic evidence to demonstrate how a psoriasis-associated region forms a functional interaction with the distant (>500 kb) KLF4 gene. This interaction occurs between the gene and active enhancers in HaCaT cells, but not in My-La cells. We go on to investigate this long-distance interaction further with Cas9 fusion protein-mediated chromatin modification (CRISPR activation) coupled with RNA-seq, demonstrating how activation of the psoriasis associated enhancer upregulates known genes in the KLF4 pathway, specific to skin cells and apoptosis. Conclusions: Taken together, our study design provides a robust pipeline to follow up GWAS disease associated variants and implicate the causal genes, cell types, direction of effect and consequences, which are vital next steps for the functional translation of genetic findings into clinical benefit.
2020-04-10 | GSE137906 | GEO
Project description:BackgroundGenome-wide association studies (GWAS) have uncovered many genetic risk loci for psoriasis, yet many remain uncharacterised in terms of the causal gene and their biological mechanism in disease. This is largely a result of the findings that over 90% of GWAS variants map outside of protein-coding DNA and instead are enriched in cell type- and stimulation-specific gene regulatory regions.ResultsHere, we use a disease-focused Capture Hi-C (CHi-C) experiment to link psoriasis-associated variants with their target genes in psoriasis-relevant cell lines (HaCaT keratinocytes and My-La CD8+ T cells). We confirm previously assigned genes, suggest novel candidates and provide evidence for complexity at psoriasis GWAS loci. For one locus, uniquely, we combine further epigenomic evidence to demonstrate how a psoriasis-associated region forms a functional interaction with the distant (>?500?kb) KLF4 gene. This interaction occurs between the gene and active enhancers in HaCaT cells, but not in My-La cells. We go on to investigate this long-distance interaction further with Cas9 fusion protein-mediated chromatin modification (CRISPR activation) coupled with RNA-seq, demonstrating how activation of the psoriasis-associated enhancer upregulates KLF4 and its downstream targets, relevant to skin cells and apoptosis.ConclusionsThis approach utilises multiple functional genomic techniques to follow up GWAS-associated variants implicating relevant cell types and causal genes in each locus; these are vital next steps for the translation of genetic findings into clinical benefit.
| S-EPMC7199343 | biostudies-literature
Project description:Fine Mapping of Eight Psoriasis Susceptibility Loci
| PRJNA375837 | ENA
Project description:To gain further insight into the genetic architecture of psoriasis, we conducted a meta-analysis of 3 genome-wide association studies (GWAS) and 2 independent data sets genotyped on the Immunochip, including 10,588 cases and 22,806 controls. We identified 15 new susceptibility loci, increasing to 36 the number associated with psoriasis in European individuals. We also identified, using conditional analyses, five independent signals within previously known loci. The newly identified loci shared with other autoimmune diseases include candidate genes with roles in regulating T-cell function (such as RUNX3, TAGAP and STAT3). Notably, they included candidate genes whose products are involved in innate host defense, including interferon-mediated antiviral responses (DDX58), macrophage activation (ZC3H12C) and nuclear factor (NF)-?B signaling (CARD14 and CARM1). These results portend a better understanding of shared and distinctive genetic determinants of immune-mediated inflammatory disorders and emphasize the importance of the skin in innate and acquired host defense.
| S-EPMC3510312 | biostudies-literature
Project description:Herein we demonstrate the efficacy of an unbiased proteomics screening approach for studying protein expression changes in the KC-Tie2 psoriasis mouse model, identifying multiple protein expression changes in the mouse and validating these changes in human psoriasis. KC-Tie2 mouse skin samples (n=3) were compared with littermate controls (n=3) using gel-based fractionation followed by label-free protein expression analysis. 5482 peptides mapping to 1281 proteins were identified and quantitated: 105 proteins exhibited fold-changes ≥2.0 including: stefin A1 (average fold change of 342.4 and an average P = 0.0082; cystatin A, human orthologue); slc25a5 (average fold change of 46.2 and an average P = 0.0318); serpinb3b (average fold change of 35.6 and an average P = 0.0345; serpinB1, human orthologue); and kallikrein related peptidase 6 (average fold change of 4.7 and an average P = 0.2474; KLK6). We independently confirmed mouse gene expression-based increases of selected genes including serpinb3b (17.4-fold, P < 0.0001), KLK6 (9.0-fold, P = 0.002), stefin A1 (7.3-fold; P < 0.001) and slc25A5 (1.5-fold; P = 0.05) using qRT-PCR on a second cohort of animals (n=8). Parallel LC/MS/MS analyses on these same samples verified protein-level increases of 1.3-fold (slc25a5; P < 0.05), 29,000-fold (stefinA1; P < 0.01), 322-fold (KLK6; P < 0.0001) between KC-Tie2 and control mice. To underscore the utility and translatability of our combined approach, we analyzed gene and protein expression levels in psoriasis patient skin and primary keratinocytes vs. healthy controls. Increases in gene expression for slc25a5 (1.8-fold), cystatin A (3.0-fold), KLK6 (5.8-fold) and serpinB1 (76-fold; all P < 0.05) were observed between healthy controls and involved lesional psoriasis skin and primary psoriasis keratinocytes. Moreover slc25a5, cystatin A, KLK6 and serpinB1 protein were all increased in lesional psoriasis skin compared to normal skin. These results highlight the usefulness of preclinical disease models using readily-available mouse skin and demonstrate the utility of proteomic approaches for identifying novel peptides/proteins that are differentially regulated in psoriasis that could serve as sources of auto-antigens or provide novel therapeutic targets for the development of new anti-psoriatic treatments.
2014-10-30 | PXD001387 | Pride
Project description:Previous studies have identified 41 independent genome-wide significant psoriasis susceptibility loci. After our first psoriasis genome-wide association study, we designed a custom genotyping array to fine-map eight genome-wide significant susceptibility loci known at that time (IL23R, IL13, IL12B, TNIP1, MHC, TNFAIP3, IL23A and RNF114) enabling genotyping of 2269 single-nucleotide polymorphisms (SNPs) in the eight loci for 2699 psoriasis cases and 2107 unaffected controls of European ancestry. We imputed these data using the latest 1000 Genome reference haplotypes, which included both indels and SNPs, to increase the marker density of the eight loci to 49?239 genetic variants. Using stepwise conditional association analysis, we identified nine independent signals distributed across six of the eight loci. In the major histocompatibility complex (MHC) region, we detected three independent signals at rs114255771 (P = 2.94 × 10(-74)), rs6924962 (P = 3.21 × 10(-19)) and rs892666 (P = 1.11 × 10(-10)). Near IL12B we detected two independent signals at rs62377586 (P = 7.42 × 10(-16)) and rs918518 (P = 3.22 × 10(-11)). Only one signal was observed in each of the TNIP1 (rs17728338; P = 4.15 × 10(-13)), IL13 (rs1295685; P = 1.65 × 10(-7)), IL23A (rs61937678; P = 1.82 × 10(-7)) and TNFAIP3 (rs642627; P = 5.90 × 10(-7)) regions. We also imputed variants for eight HLA genes and found that SNP rs114255771 yielded a more significant association than any HLA allele or amino-acid residue. Further analysis revealed that the HLA-C*06-B*57 haplotype tagged by this SNP had a significantly higher odds ratio than other HLA-C*06-bearing haplotypes. The results demonstrate allelic heterogeneity at IL12B and identify a high-risk MHC class I haplotype, consistent with the existence of multiple psoriasis effectors in the MHC.
| S-EPMC4795047 | biostudies-literature
Project description:Klf4 is the zinc finger transcription factor indispensable for terminal maturation of epithelial tissues and part of group of proteins for the generation of pluripotent embryonic stem cells from differentiated tissues. No definitive in-vivo-function of Klf4 in the hematopoietic system has been established yet. We show here that Klf4 directly guides the transcriptional program for terminal differentiation of Ly-6Chigh monocytes. Klf4 suppresses transcripts of the interferon immune response and induces a proinflammatory cytokine transcriptional program. Concordantly, Klf4 hematopoietic deficiency in mice results in an enhanced Th1 but impaired Th17 immune response, and, consequently, those mice are resistant towards the induction of experimental autoimmune encephalitis (EAE). We here identify Klf4 is a transcription factor required for ontogenesis and function of Ly-6Chigh monocytes at the interface of innate and acquired immunity.
2012-07-31 | GSE11572 | GEO
Project description:We carried out a meta-analysis of two recent psoriasis genome-wide association studies with a combined discovery sample of 1,831 affected individuals (cases) and 2,546 controls. One hundred and two loci selected based on P value rankings were followed up in a three-stage replication study including 4,064 cases and 4,685 controls from Michigan, Toronto, Newfoundland and Germany. In the combined meta-analysis, we identified three new susceptibility loci, including one at NOS2 (rs4795067, combined P = 4 × 10?¹¹), one at FBXL19 (rs10782001, combined P = 9 × 10?¹?) and one near PSMA6-NFKBIA (rs12586317, combined P = 2 × 10??). All three loci were also associated with psoriatic arthritis (rs4795067, combined P = 1 × 10??; rs10782001, combined P = 4 × 10??; and rs12586317, combined P = 6 × 1??) and purely cutaneous psoriasis (rs4795067, combined P = 1 × 10??; rs10782001, combined P = 2 × 10??; and rs12586317, combined P = 1 × 10??). We also replicated a recently identified association signal near RNF114 (rs495337, combined P = 2 × 10??).
| S-EPMC2965799 | biostudies-literature
Project description:Most psoriasis-related genes or loci identified through genome-wide association studies (GWASs) represent common clusters and are located in non-coding regions of the human genome, providing only limited evidence for the role of coding variants in psoriasis. Two exome-wide case-control genotyping data sets were obtained from our previous study. Quality control was established for each data set, and the remaining markers in each were annotated using ANNOVAR. Gene-based analysis was performed on the annotation results. A total of 250 and 35 genes in the Exome_Fine and Exome_Asian Array cohorts, respectively, exceeded the threshold (P < 4.43 × 10-6). Merged gene-based analysis was then conducted on the same set of SNPs from seven genes common to both arrays, and the chi-square test was used to confirm all gene-based results. Ultimately, four new susceptibility genes were identified: BBS7 (Pcombine = 1.38 × 10−29), GSTCD (Pcombine = 8.35 × 10−47), LIPK (Pcombine = 1.02 × 10−19) and PPP4R3B (Pcombine = 1.79 × 10−33). This study identified four new susceptibility genes for psoriasis through a gene-based method using rare variants, contributing to our understanding of the pathogenesis of psoriasis.
2019-05-24 | GSE131663 | GEO
Project description:<p>Psoriasis is a common immune-mediate disease identified through scaly patches of the skin. In this study we collected genotype information on 5,067 samples of European ancestry as a follow-up study of our initial GWAS (<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=19169254">Nair et al. 2009</a>). We designed an Illumina iSelect custom genotyping array with 2,269 tagging SNPs in the eight known psoriasis susceptibility regions (<a href="https://www.ncbi.nlm.nih.gov/gene/3107">MHC</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/3593">IL12B</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/149233">IL23R</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/51561">IL23A</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/7128">TNFAIP3</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/3596">IL13</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/55905">RNF114</a>, and <a href="https://www.ncbi.nlm.nih.gov/gene/10318">TNIP1</a>). The custom array also included 5,463 SNPs outside the eight known susceptibility regions, which were selected based on their association p-values in a meta-analysis of HapMap-imputed genotypes of two published GWAS-CASP (<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=19169254">Nair et al. 2009</a>) and (<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=20953188">Ellinghaus et al. 2010</a>). After quality control we analyzed 4,806 samples (2,699 cases and 2,107 controls). </p> <p>Please note: The accession number for this dbGaP study was incorrectly listed in the relevant publication (<a href="https://www.ncbi.nlm.nih.gov/pubmed/25182136">Das et al.</a>, 2015, Eur. J. Hum. Genet 23:844-853) as phs000019.v1.p1.</p>
| phs001298 | dbGaP