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人类肺部细胞的染色质景观可预测潜在功能的慢性阻塞性肺疾病全基因组关联研究变异。

Chromatin Landscapes of Human Lung Cells Predict Potentially Functional Chronic Obstructive Pulmonary Disease Genome-Wide Association Study Variants.

机构信息

Channing Division of Network Medicine and.

Department of Cell Biology and Physiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

出版信息

Am J Respir Cell Mol Biol. 2021 Jul;65(1):92-102. doi: 10.1165/rcmb.2020-0475OC.

Abstract

Genome-wide association studies (GWASs) have identified dozens of loci associated with risk of chronic obstructive pulmonary disease (COPD). However, identifying the causal variants and their functional role in the appropriate cell type remains a major challenge. We aimed to identify putative causal variants in 82 GWAS loci associated with COPD susceptibility and predict the regulatory impact of these variants in lung-cell types. We used an integrated approach featuring statistical fine mapping, open chromatin profiling, and machine learning to identify functional variants. We generated chromatin accessibility data using the Assay for Transposase-Accessible Chromatin with High-Throughput Sequencing (ATAC-seq) for human primary lung-cell types implicated in COPD pathobiology. We then evaluated the enrichment of COPD risk variants in lung-specific open chromatin regions and generated cell type-specific regulatory predictions for >6,500 variants corresponding to 82 COPD GWAS loci. Integration of the fine-mapped variants with lung open chromatin regions helped prioritize 22 variants in putative regulatory elements with potential functional effects. Comparison with functional predictions from 222 Encyclopedia of DNA Elements (ENCODE) cell samples revealed cell type-specific regulatory effects of COPD variants in the lung epithelium, endothelium, and immune cells. We identified potential causal variants for COPD risk by integrating fine mapping in GWAS loci with cell-specific regulatory profiling, highlighting the importance of leveraging the chromatin status in relevant cell types to predict the molecular effects of risk variants in lung disease.

摘要

全基因组关联研究(GWAS)已经确定了数十个与慢性阻塞性肺疾病(COPD)风险相关的基因座。然而,确定因果变异及其在适当细胞类型中的功能作用仍然是一个主要挑战。我们旨在确定与 COPD 易感性相关的 82 个 GWAS 基因座中的推定因果变异,并预测这些变异在肺细胞类型中的调控作用。我们使用了一种综合方法,包括统计精细映射、开放染色质分析和机器学习,以识别功能变异。我们使用用于转座酶可及染色质的高通量测序(ATAC-seq)为与 COPD 病理生物学相关的人类主要肺细胞类型生成染色质可及性数据。然后,我们评估了 COPD 风险变异在肺特异性开放染色质区域中的富集情况,并针对对应于 82 个 COPD GWAS 基因座的>6500 个变体生成了细胞类型特异性调控预测。将精细映射的变体与肺开放染色质区域进行整合有助于确定 22 个位于潜在调节元件中的变体,这些变体具有潜在的功能效应。与 222 个 DNA 元件百科全书(ENCODE)细胞样本的功能预测进行比较,揭示了 COPD 变体在肺上皮细胞、内皮细胞和免疫细胞中的细胞类型特异性调控作用。我们通过将 GWAS 基因座中的精细映射与细胞特异性调控分析相结合,确定了 COPD 风险的潜在因果变异,这突出了利用相关细胞类型中的染色质状态来预测肺疾病中风险变异的分子效应的重要性。

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