Enhancers implicate new genes in QT interval below GWAS detection threshold
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE53567 | GEO | 2014/10/10
SECONDARY ACCESSION(S): PRJNA232387
REPOSITORIES: GEO
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Project description:Our goal is to identify high-confidence candidate genes associated with sub-threshold QT interval loci. We predicted enhancer-promoter targets using two different methods. 1) We used the correlation in activity between enhancers and transcribed genes across 59 human cell lines and tissues to identify significantly correlated enhancer-promoter pairs that represent potential regulatory interactions. 2) We used chromosome conformation capture followed by high-throughput sequencing (4C-seq) to probe physical enhancer-promoter interactions.
2014-10-10 | E-GEOD-53567 | biostudies-arrayexpress
Project description:Enhancers implicate new genes in QT interval below GWAS detection threshold
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Project description:Genome-wide association studies (GWAS) have suggested that sequence variation in cis-regulatory elements (CREs) modulate common disease risk and trait variation. However, identification of the majority of these causal variants and their mechanism of action have remained significant challenges. We used reporter assays for all common variants at the QT interval associated SCN5A GWAS locus with the goal of identifying causal variants for the association. A target region of ~500kb containing SCN5A was defined based on recombination hotspots (rate>10cM/Mb; estimated from HapMap) flanking the 5 independent QT interval GWAS hits. Within this region, all common variants (minor allele frequency >5%), from the 1000 Genomes European ancestry populations, in moderate linkage disequilibrium (LD; r2>0.3) with any of the 5 sentinel hits, were selected for analyses. Of a total 121 variants selected, 112 variants in 104 amplicons passed primer design (amplicon size 256-617bp; median 397bp), with both alleles of 106 variants successfully cloned along with flanking sequences into 98 amplicons upstream of a minimal promoter-driven firefly luciferase gene in pGL4.23. Cardiomyocyte cells, AC16 (human) and HL1 (mouse), were transfected with test constructs and Renilla luciferase vector (for transfection normalization) in triplicate; luciferase assays were performed 24h later. All cloning and reporter assays were performed in 96- and 24-well plates. In reporter assays across the two cell lines, compared to empty vector, 37 amplicons showed enhancer activity (z-score>99 %tile), with a concordance rate of ~70%. Of these 37 enhancer CREs, 9 overlapped open chromatin regions (DNase-seq peaks) observed in adult human heart tissue, largest among all human tissues evaluated by the RoadMap Epigenomics project. Of these 37 enhancer CREs, 12 showed allelic difference in reporter activity (P<0.05), thus identifying at least one enhancer CRE variant in high-to-moderate LD with each of the 5 sentinel hits. Using GTEx heart left ventricle (n=190) gene expression data, we showed correlation between SCN5A expression and the number of QT interval prolonging alleles across the 5 index SNPs. We are currently assessing the binding of cardiac nuclear factors at the 12 enhancer CRE variants by gel-shift assays and the effect of CRISPR-Cas9 mediated CRE deletion on SCN5A expression in AC16 and HL1 cells, an analyses helped by evaluation of AC16 and HL1 cells by RNA-seq, ATAC-seq and karyotyping. Thus, independent of the publicly available epigenomic data, which are of limited cell-type relevance, an unbiased in vitro reporter screen for CREs overlapping all common variants associated with QT interval at the SCN5A GWAS locus identified 12 common cis-regulatory variants that map to cardiac open chromatin regions and correlate with SCN5A cardiac expression.
2019-04-22 | GSE109716 | GEO
Project description:MULTIPLE SCN5A ENHANCERS MODULATE CARDIAC GENE EXPRESSION AND QT INTERVAL VARIATION
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Project description:Prolonged electrocardiographic indices reflecting myocardial impulse conduction and repolarization are risk factors for sudden cardiac death and drug-induced arrhythmia. The PR-interval, QRS-duration and QT-interval are heritable traits influenced by multiple genetic and environmental factors. The genetic underpinnings of these traits are still largely unknown. In this study, we leveraged the variability in cardiac gene expression and the variation in PR-, QRS- and QT-intervals among F2 mice harboring the cardiac sodium ion-channel mutation Scn5a-1798insD/+ derived from the 129P2-Scn5a1798insD/+ and FVB/NJ-Scn5a1798insD/+ cross, to isolate novel genes and biological pathways impacting on cardiac conduction and repolarization.
2012-12-01 | GSE27236 | GEO
Project description:Prolonged electrocardiographic indices reflecting myocardial impulse conduction and repolarization are risk factors for sudden cardiac death and drug-induced arrhythmia. The PR-interval, QRS-duration and QT-interval are heritable traits influenced by multiple genetic and environmental factors. The genetic underpinnings of these traits are still largely unknown. In this study, we leveraged the variability in cardiac gene expression and the variation in PR-, QRS- and QT-intervals among F2 mice harboring the cardiac sodium ion-channel mutation Scn5a-1798insD/+ derived from the 129P2-Scn5a1798insD/+ and FVB/NJ-Scn5a1798insD/+ cross, to isolate novel genes and biological pathways impacting on cardiac conduction and repolarization. Cardiac left-ventricle total RNA from 120 F2-(129P2xFVBN/J)-Scn5a-1798insD/+ mice at 12 to 14 weeks old.
2012-12-01 | E-GEOD-27236 | biostudies-arrayexpress
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2023-01-02 | GSE208236 | GEO
Project description:A high-confidence map of the direct, functional targets of each transcription factor (TF) requires convergent evidence from independent sources. Two significant sources of evidence are TF binding locations and the transcriptional responses to direct TF perturbations. Systematic data sets of both types exist for yeast and human. Standard analysis of the genes whose regulatory DNA is bound by a TF, assayed by ChIP-chip/seq, and the genes that respond to a perturbation of that TF, shows that these two data sources rarely converge on a common set of direct, functional targets. Even taking the few genes that are both bound and responsive as direct functional targets is not safe -- when there are many non-functional binding sites and many indirect targets, non-functional sites are expected to occur in the cis-regulatory DNA of indirect targets by chance. To address this problem, we introduce Dual Threshold Optimization, a new method for setting significance thresholds on binding and response data, and show that it improves convergence. It also enables comparison of binding data to perturbation-response data that has been processed by network inference algorithms, which further improves convergence. Next, we analyze a comprehensive new data set measuring the transcriptional response shortly after inducing overexpression of a yeast TF. We also present a new yeast binding location data set obtained by transposon calling cards and compare it to recent ChIP-exo data. The combination of dual threshold optimization and network inference greatly expands the high-confidence TF network map in both yeast and human. In yeast, measuring the response shortly after inducing TF overexpression and measuring binding locations by using transposon calling cards or ChIP-exo improve the network synergistically.
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