Introduction: Antineutrophil cytoplasmic autoantibody (ANCA)-associated vasculitis is a rare, complex autoimmune condition. Although ANCAs have a pathogenic role, they are considered a suboptimal biomarker of disease activity. Previous studies suggest differences in clinical phenotypes and outcomes in those without detectable circulating autoantibody.
View Article and Find Full Text PDFKey Points: The contribution of IV methylprednisolone to glucocorticoid toxicity is often overlooked with limited evidence supporting its use. Markedly reduced cumulative glucocorticoid dosing for remission induction therapy in AAV is safe and effective. Reduced IV methylprednisolone and radical steroid avoidance strategies have not been shown to have any significant adverse effect on outcomes.
View Article and Find Full Text PDFTo date, single-nucleotide polymorphisms (SNPs) have been the most intensively investigated class of polymorphisms in genome wide associations studies (GWAS), however, other classes such as insertion-deletion or multiple nucleotide length polymorphism (MNLPs) may also confer disease risk. Multiple reports have shown that the 5p15.33 prostate cancer risk region is a particularly strong expression quantitative trait locus (eQTL) for Iroquois Homeobox 4 (IRX4) transcripts.
View Article and Find Full Text PDFBackground: ANCA-negative pauci-immune glomerulonephritis (PIGN) represents a rare and often under-studied subgroup of the vasculitides. This study aims to investigate differences in the clinical phenotype, renal histological features, and clinical outcomes of patients with PIGN, with and without serum ANCA positivity.
Methods: A cohort of biopsy-proven PIGN with and without detectable circulating ANCA was constructed from a single center between 2006 and 2016.
Life Sci Alliance
October 2022
Candidate causal risk variants from genome-wide association studies reside almost exclusively in noncoding regions of the genome and innovative approaches are necessary to understand their biological function. Multi-marker analysis of genomic annotation (MAGMA) is a widely used program that nominates candidate risk genes by mapping single-nucleotide polymorphism summary statistics from genome-wide association studies to gene bodies. We augmented MAGMA to create chromatin-MAGMA (chromMAGMA), a method to nominate candidate risk genes based on the presence of risk variants within noncoding regulatory elements (REs).
View Article and Find Full Text PDFGenome-wide association studies (GWASs) of prostate cancer have identified >250 significant risk loci, but the causal variants and mechanisms for these loci remain largely unknown. Here, we sought to identify and characterize risk-harboring regulatory elements by integrating epigenomes from primary prostate tumor and normal tissues of 27 individuals across the H3K27ac, H3K4me3, and H3K4me2 histone marks and FOXA1 and HOXB13 transcription factors. We identified 7,371 peaks with significant allele specificity (allele-specific quantitative trait locus [asQTL] peaks).
View Article and Find Full Text PDFAlthough quantitative trait locus (QTL) associations have been identified for many molecular traits such as gene expression, it remains challenging to distinguish the causal nucleotide from nearby variants. In addition to traditional QTLs by association, allele-specific (AS) QTLs are a powerful measure of cis-regulation that are concordant with traditional QTLs but typically less susceptible to technical/environmental noise. However, existing methods for estimating causal variant probabilities (i.
View Article and Find Full Text PDFOncogenesis is driven by germline, environmental and stochastic factors. It is unknown how these interact to produce the molecular phenotypes of tumors. We therefore quantified the influence of germline polymorphisms on the somatic epigenome of 589 localized prostate tumors.
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