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Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

机译:人类免疫细胞表观遗传和转录变异的遗传驱动因素

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摘要

Characterizing the multifaceted contribution of genetic and epigenetic factors to disease phenotypes is a major challenge in human genetics and medicine. We carried out high-resolution genetic, epigenetic, and transcriptomic profiling in three major human immune cell types (CD14(+) monocytes, CD16(+) neutrophils, and naive CD4(+) T cells) from up to 197 individuals. We assess, quantitatively, the relative contribution of cis-genetic and epigenetic factors to transcription and evaluate their impact as potential sources of confounding in epigenome-wide association studies. Further, we characterize highly coordinated genetic effects on gene expression, methylation, and histone variation through quantitative trait locus (QTL) mapping and allele-specific (AS) analyses. Finally, we demonstrate colocalization of molecular trait QTLs at 345 unique immune disease loci. This expansive, high-resolution atlas of multi-omics changes yields insights into cell-type-specific correlation between diverse genomic inputs, more generalizable correlations between these inputs, and defines molecular events that may underpin complex disease risk.
机译:表征遗传和表观遗传因素对疾病表型的多方面贡献是人类遗传学和医学的主要挑战。我们对多达197个个体的三种主要人类免疫细胞类型(CD14(+)单核细胞,CD16(+)中性粒细胞和幼稚CD4(+)T细胞)进行了高分辨率的遗传,表观遗传和转录组分析。我们定量评估顺式和表观遗传因子对转录的相对贡献,并评估其作为表观基因组范围关联研究中潜在混淆因素的影响。此外,我们通过定量性状基因座(QTL)定位和等位基因特异性(AS)分析来表征对基因表达,甲基化和组蛋白变异的高度协调的遗传效应。最后,我们证明了分子性状QTL在345个独特的免疫疾病基因座上的共定位。这种广泛的,高分辨率的多组学变化图集,使您可以洞察各种基因组输入之间特定于细胞类型的相关性,这些输入之间更通用的相关性,并定义可能支撑复杂疾病风险的分子事件。

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