Literature DB >> 33788674

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

Christopher J Benway1, Jiangyuan Liu1, Feng Guo1, Fei Du1, Scott H Randell2, Michael H Cho1,3, Edwin K Silverman1,3, Xiaobo Zhou1,3.   

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.

Entities:  

Keywords:  COPD; chromatin accessibility; functional genomics; genome-wide association study; machine learning

Year:  2021        PMID: 33788674      PMCID: PMC8320120          DOI: 10.1165/rcmb.2020-0475OC

Source DB:  PubMed          Journal:  Am J Respir Cell Mol Biol        ISSN: 1044-1549            Impact factor:   6.914


  48 in total

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Review 4.  From genome-wide associations to candidate causal variants by statistical fine-mapping.

Authors:  Daniel J Schaid; Wenan Chen; Nicholas B Larson
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Review 5.  Assaying the epigenome in limited numbers of cells.

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Authors:  Jason D Buenrostro; Paul G Giresi; Lisa C Zaba; Howard Y Chang; William J Greenleaf
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7.  A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility.

Authors:  Darren A Cusanovich; Andrew J Hill; Delasa Aghamirzaie; Riza M Daza; Hannah A Pliner; Joel B Berletch; Galina N Filippova; Xingfan Huang; Lena Christiansen; William S DeWitt; Choli Lee; Samuel G Regalado; David F Read; Frank J Steemers; Christine M Disteche; Cole Trapnell; Jay Shendure
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Authors: 
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Journal:  Nature       Date:  2015-02-19       Impact factor: 69.504

10.  TFAP2C regulates transcription in human naive pluripotency by opening enhancers.

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1.  Functional Gene Variants in Chronic Obstructive Pulmonary Disease: The Search Continues.

Authors:  Mario Acunzo; Patrick Nana-Sinkam
Journal:  Am J Respir Cell Mol Biol       Date:  2021-07       Impact factor: 6.914

  1 in total

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