Publications by authors named "Alice Mann"

Article Synopsis
  • * The study mapped quantitative trait loci (QTL) linked to gene expression and chromatin activity in Treg cells, identifying 133 colocalizing loci that associate with immune disease variants.
  • * It highlighted seven known drug targets for repurposing and suggested 63 potential targets for drug development, marking a significant step in understanding how immune disease variants impact Treg cell function.
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The resolution of causal genetic variants informs understanding of disease biology. We used regulatory quantitative trait loci (QTLs) from the BLUEPRINT, GTEx and eQTLGen projects to fine-map putative causal variants for 12 immune-mediated diseases. We identify 340 unique loci that colocalize with high posterior probability (≥98%) with regulatory QTLs and apply Bayesian frameworks to fine-map associations at each locus.

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The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical and genomic data through both harmonized data aggregation and federated approaches. The decreasing cost of genomic sequencing (along with other genome-wide molecular assays) and increasing evidence of its clinical utility will soon drive the generation of sequence data from tens of millions of humans, with increasing levels of diversity. In this perspective, we present the GA4GH strategies for addressing the major challenges of this data revolution.

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Neutrophils play fundamental roles in innate immune response, shape adaptive immunity, and are a potentially causal cell type underpinning genetic associations with immune system traits and diseases. Here, we profile the binding of myeloid master regulator PU.1 in primary neutrophils across nearly a hundred volunteers.

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Regulatory variants are often context specific, modulating gene expression in a subset of possible cellular states. Although these genetic effects can play important roles in disease, the molecular mechanisms underlying context specificity are poorly understood. Here, we identified shared quantitative trait loci (QTLs) for chromatin accessibility and gene expression in human macrophages exposed to IFNγ, Salmonella and IFNγ plus Salmonella.

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Technology utilizing human induced pluripotent stem cells (iPS cells) has enormous potential to provide improved cellular models of human disease. However, variable genetic and phenotypic characterization of many existing iPS cell lines limits their potential use for research and therapy. Here we describe the systematic generation, genotyping and phenotyping of 711 iPS cell lines derived from 301 healthy individuals by the Human Induced Pluripotent Stem Cells Initiative.

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Background: A healthy immune system requires immune cells that adapt rapidly to environmental challenges. This phenotypic plasticity can be mediated by transcriptional and epigenetic variability.

Results: We apply a novel analytical approach to measure and compare transcriptional and epigenetic variability genome-wide across CD14CD16 monocytes, CD66bCD16 neutrophils, and CD4CD45RA naïve T cells from the same 125 healthy individuals.

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Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants.

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Article Synopsis
  • The study investigates how genetic and epigenetic factors influence disease traits in human immune cells by profiling three major cell types from nearly 200 individuals.
  • Researchers quantitatively analyze the contributions of these factors to gene transcription, identifying potential confounding influences in epigenome-wide association studies.
  • The findings reveal coordinated genetic effects on gene expression and highlight 345 immune disease loci, providing insights into the relationship between genomic elements and disease risk.
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