Literature DB >> 26102239

Airway Epithelial Expression Quantitative Trait Loci Reveal Genes Underlying Asthma and Other Airway Diseases.

Wei Luo1,2, Ma'en Obeidat3,4, Antonio Fabio Di Narzo2,5, Rong Chen2,5, Don D Sin3,4, Peter D Paré3,4, Ke Hao2,5,6.   

Abstract

Genome-wide association studies (GWASs) have identified loci that are robustly associated with asthma and related phenotypes; however, the molecular mechanisms underlying these associations need to be explored. The most relevant tissues to study the functional consequences of asthma are the airways. We used publically available data to derive expression quantitative trait loci (eQTLs) for human epithelial cells from small and large airways and applied the eQTLs in the interpretation of GWAS results of asthma and related phenotypes. For the small airways (n = 105), we discovered 660 eQTLs at a 10% false discovery rate (FDR), among which 315 eQTLs were not previously reported in a large-scale eQTL study of whole lung tissue. A large fraction of the identified eQTLs is supported by data from Encyclopedia of DNA Elements (ENCODE) showing that the eQTLs reside in regulatory elements (57.5 and 67.6% of cis- and trans-eQTLs, respectively). Published pulmonary GWAS hits were enriched as airway epithelial eQTLs (9.2-fold). Further, genes regulated by asthma GWAS loci in epithelium are significantly enriched in immune response pathways, such as IL-4 signaling (FDR, 5.2 × 10(-4)). The airway epithelial eQTLs described in this study are complementary to previously reported lung eQTLs and represent a powerful resource to link GWAS-associated variants to their regulatory function and thus elucidate the molecular mechanisms underlying asthma and airway-related conditions.

Entities:  

Keywords:  airway diseases; airway epithelium; asthma; expression quantitative trait loci

Mesh:

Substances:

Year:  2016        PMID: 26102239      PMCID: PMC4821039          DOI: 10.1165/rcmb.2014-0381OC

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


  91 in total

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5.  Multitissue Transcriptomics Delineates the Diversity of Airway T Cell Functions in Asthma.

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