Literature DB >> 34019912

Inducible expression quantitative trait locus analysis of the MUC5AC gene in asthma in urban populations of children.

Matthew C Altman1, Kaitlin Flynn2, Mario G Rosasco2, Matthew Dapas3, Meyer Kattan4, Stephanie Lovinsky-Desir4, George T O'Connor5, Michelle A Gill6, Rebecca S Gruchalla6, Andrew H Liu7, Jacqueline A Pongracic8, Gurjit K Khurana Hershey9, Edward M Zoratti10, Stephen J Teach11, Deepa Rastrogi11, Robert A Wood12, Leonard B Bacharier13, Petra LeBeau14, Peter J Gergen15, Alkis Togias15, William W Busse16, Scott Presnell2, James E Gern16, Carole Ober3, Daniel J Jackson16.   

Abstract

BACKGROUND: Mucus plugging can worsen asthma control, lead to reduced lung function and fatal exacerbations. MUC5AC is the secretory mucin implicated in mucus plugging, and MUC5AC gene expression has been associated with development of airway obstruction and asthma exacerbations in urban children with asthma. However, the genetic determinants of MUC5AC expression are not established.
OBJECTIVES: This study sought to assess single-nucleotide polymorphisms (SNPs) that influence MUC5AC expression and relate to pulmonary functions in childhood asthma.
METHODS: This study used RNA-sequencing data from upper airway samples and performed cis-expression quantitative trait loci (eQTL) and allele-specific expression analyses in 2 cohorts of predominantly Black and Hispanic urban children, a high asthma-risk birth cohort, and an exacerbation-prone asthma cohort. Inducible MUC5AC eQTLs were further investigated during incipient asthma exacerbations. Significant eQTLs SNPs were tested for associations with lung function measurements and their functional consequences were investigated in DNA regulatory databases.
RESULTS: Two independent groups of SNPs in the MUC5AC gene that were significantly associated with MUC5AC expression were identified. Moreover, these SNPs showed stronger eQTL associations with MUC5AC expression during asthma exacerbations, which is consistent with inducible expression. SNPs in 1 group also showed significant association with decreased pulmonary functions. These SNPs included multiple EGR1 transcription factor binding sites, suggesting a mechanism of effect.
CONCLUSIONS: These findings demonstrate the applicability of organ-specific RNA-sequencing data to determine genetic factors contributing to a key disease pathway. Specifically, they suggest important genetic variations that may underlie propensity to mucus plugging in asthma and could be important in targeted asthma phenotyping and disease management strategies.
Copyright © 2021 American Academy of Allergy, Asthma & Immunology. All rights reserved.

Entities:  

Keywords:  Asthma; MUC5AC; expression quantitative trait

Mesh:

Substances:

Year:  2021        PMID: 34019912      PMCID: PMC8599524          DOI: 10.1016/j.jaci.2021.04.035

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  45 in total

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Journal:  Science       Date:  2013-12-13       Impact factor: 47.728

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Authors:  Laura M Kuyper; Peter D Paré; James C Hogg; Rodney K Lambert; Diana Ionescu; Ryan Woods; Tony R Bai
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Journal:  Mol Immunol       Date:  2009-09-27       Impact factor: 4.407

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Authors:  Hatice S Zahran; Cathy M Bailey; Scott A Damon; Paul L Garbe; Patrick N Breysse
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Authors:  Michelle M Stein; Emma E Thompson; Nathan Schoettler; Britney A Helling; Kevin M Magnaye; Catherine Stanhope; Catherine Igartua; Andréanne Morin; Charles Washington; Dan Nicolae; Klaus Bønnelykke; Carole Ober
Journal:  J Allergy Clin Immunol       Date:  2018-01-04       Impact factor: 10.793

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Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

7.  Transcriptome networks identify mechanisms of viral and nonviral asthma exacerbations in children.

Authors:  Matthew C Altman; Michelle A Gill; Elizabeth Whalen; Denise C Babineau; Baomei Shao; Andrew H Liu; Brett Jepson; Rebecca S Gruchalla; George T O'Connor; Jacqueline A Pongracic; Carolyn M Kercsmar; Gurjit K Khurana Hershey; Edward M Zoratti; Christine C Johnson; Stephen J Teach; Meyer Kattan; Leonard B Bacharier; Avraham Beigelman; Steve M Sigelman; Scott Presnell; James E Gern; Peter J Gergen; Lisa M Wheatley; Alkis Togias; William W Busse; Daniel J Jackson
Journal:  Nat Immunol       Date:  2019-04-08       Impact factor: 25.606

8.  ENCODE whole-genome data in the UCSC Genome Browser.

Authors:  Kate R Rosenbloom; Timothy R Dreszer; Michael Pheasant; Galt P Barber; Laurence R Meyer; Andy Pohl; Brian J Raney; Ting Wang; Angie S Hinrichs; Ann S Zweig; Pauline A Fujita; Katrina Learned; Brooke Rhead; Kayla E Smith; Robert M Kuhn; Donna Karolchik; David Haussler; W James Kent
Journal:  Nucleic Acids Res       Date:  2009-11-17       Impact factor: 16.971

9.  Air Pollution and Lung Function in Minority Youth with Asthma in the GALA II (Genes-Environments and Admixture in Latino Americans) and SAGE II (Study of African Americans, Asthma, Genes, and Environments) Studies.

Authors:  Andreas M Neophytou; Marquitta J White; Sam S Oh; Neeta Thakur; Joshua M Galanter; Katherine K Nishimura; Maria Pino-Yanes; Dara G Torgerson; Christopher R Gignoux; Celeste Eng; Elizabeth A Nguyen; Donglei Hu; Angel C Mak; Rajesh Kumar; Max A Seibold; Adam Davis; Harold J Farber; Kelley Meade; Pedro C Avila; Denise Serebrisky; Michael A Lenoir; Emerita Brigino-Buenaventura; William Rodriguez-Cintron; Kirsten Bibbins-Domingo; Shannon M Thyne; L Keoki Williams; Saunak Sen; Frank D Gilliland; W James Gauderman; Jose R Rodriguez-Santana; Fred Lurmann; John R Balmes; Ellen A Eisen; Esteban G Burchard
Journal:  Am J Respir Crit Care Med       Date:  2016-06-01       Impact factor: 21.405

10.  Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma.

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Journal:  Nature       Date:  2007-07-04       Impact factor: 49.962

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