Searching journal content for articles similar to Skelly et al. 21 (10): 1728.

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  1. ...is driven in part by recognition of DNA sequence, genetic variation can influence TF–DNA associations and gene regulation. To identify variants that impact TF binding in human brain tissues, we assessed allele-specific binding (ASB) at heterozygous variants for 94 TFs in nine brain regions from two donors...
  2. ...than to synonymous mutations. Because synonymous mutations tend to occur at third codon positions, the spatial distribution of allele-specific selection coefficients exhibits a general three-nucleotide periodic pattern in coding regions. Inspection of individual genes reveals that LASSIE frequently...
  3. ...conditions Analysis of ASE We used QuASAR quantitative allele specific analysis of reads to identify genes with evidence of ASE QuASAR Harvey et al 2015 identifies heterozygous genotypes and uses a beta binomial distribution to infer ASE in RNA seq data In the 89 treatment conditions we identified...
  4. ...forces that maintain context-dependent eQTLs, especially in high-powered studies exploring many types of cellular environments, remain limited.Here, we report a large-scale study in which we profiled -wide gene expression levels across 12 different cellular environments using 544 immortalized B cell...
  5. ...statistical framework and measured allele-specific differences in mRNA decay rates in a diploid yeast hybrid created by mating two genetically diverse parental strains. We estimate that 31% of genes exhibit allelic differences in mRNA decay rates, of which 350 can be identified at a false discovery rate of 10...
  6. ...-associated variants are highly enriched in candidate regulatory elements. Allele-specific analyses of gene regulation can further prioritize variants that likely have a functional effect on disease mechanisms; and emerging high-throughput assays to quantify the activity of candidate regulatory elements...
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  7. ...Vicker et al. 2013), or chromatin accessibility (Degner et al. 2012), thus providing insights into the underlying molecular mechanism of a given trait or disease. However, because of either statistical power or technical limitations, QTL studies have been mainly focused on common single-nucleotide variants...
  8. ...; patient-derived xenograft material) for CCND1 (A) and MAF (B) loci. Numbers in colored squares (red denotes high expression; blue, low expression) show gene expression detected by RNA-seq and displayed as Log2-normalized counts (Log2 NC). (GC) Germinal center. (*) Sample contains chromosomal translocation...
  9. ...); this is because there is enrichment of H3K27me3 at the promoter. There are also ‘active’ H3K4me1/3 modifications, which could indicate variation between alleles or across the population, with the gene sometimes expressed and sometimes repressed. Consistent with this, publicly available RNA-seq data (The ENCODE...
  10. ...-positive cancers that is statistically powered to detect significant, recurrent hotspots of HPV integration, using precise and unbiased genomics methods including WGS and RNA-seq. These findings demonstrate that our HPV integrant-mediated looping model, initially formulated based primarily on cell lines, also...
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