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dc.contributor.authorPark, Heung-Woo
dc.contributor.authorSong, Woo-Jung
dc.contributor.authorCho, Sang-Heon
dc.contributor.authorMcGeachie, Michael J.
dc.contributor.authorMartinez, Fernando
dc.contributor.authorMauger, Dave
dc.contributor.authorBender, Bruce G.
dc.contributor.authorTantisira, Kelan G.
dc.date.accessioned2018-09-24T21:11:29Z
dc.date.available2018-09-24T21:11:29Z
dc.date.issued2018-07-04
dc.identifier.citationPark, H. W., Song, W. J., Cho, S. H., McGeachie, M. J., Martinez, F., Mauger, D., ... & Tantisira, K. G. (2018). Assessment of genetic factor and depression interactions for asthma symptom severity in cohorts of childhood and elderly asthmatics. Experimental & molecular medicine, 50(7), 77.en_US
dc.identifier.issn2092-6413
dc.identifier.pmid29973587
dc.identifier.doi10.1038/s12276-018-0110-5
dc.identifier.urihttp://hdl.handle.net/10150/629154
dc.description.abstractIt is well known that depression is associated with asthma symptoms. We assessed the combined effects of genetic factors and depression on asthma symptom severity using Bayesian network (BN) analysis. The common 100 top-ranked single-nucleotide polymorphisms (SNPs) were obtained from two genome-wide association studies of symptom severity in two childhood asthmatics trials (CAMP (Childhood Asthma Management Program) and CARE (Childhood Asthma Research and Education)). Using SNPs plus five discretized variables (depression, anxiety, age, sex, and race), we performed BN analysis in 529 CAMP subjects. We identified two nodes (depression and rs4672619 mapping to ERBB4 (Erb-B2 receptor tyrosine kinase 4)) that were within the Markov neighborhood of the symptom node in the network and then evaluated the interactive effects of depressive status and rs4672619 genotypes on asthma symptom severity. In childhood asthmatics with homozygous reference alleles, severe depression was related to less severe symptoms. However, in childhood asthmatics with heterozygous alleles and homozygous variant alleles, depression and symptom severity showed a positive correlation (interaction permutation P value =0.019). We then tried to evaluate whether the interactive effects that we found were sustained in another independent cohort of elderly asthmatics. Contrary to the findings from childhood asthmatics, elderly asthmatics with homozygous reference alleles showed a positive correlation between depression and symptom severity, and elderly asthmatics with heterozygous alleles and homozygous variant alleles showed a negative correlation (interaction permutation P value =0.003). In conclusion, we have identified a novel SNP, rs4672619, that shows interactive effects with depression on asthma symptom severity in childhood and elderly asthmatics in opposite directions.en_US
dc.description.sponsorshipNational Institutes of Health, US [R01 NR013391, R01 HL127332, U01 HL065899]; Ministry of Health and Welfare, Republic of Korea [2008-E33028-00, 2009-E33022-00, 2011-E33005-00]; Parker B. Francis Foundationen_US
dc.language.isoenen_US
dc.publisherNATURE PUBLISHING GROUPen_US
dc.relation.urlhttp://www.nature.com/articles/s12276-018-0110-5en_US
dc.rights© The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleAssessment of genetic factor and depression interactions for asthma symptom severity in cohorts of childhood and elderly asthmaticsen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Arizona Resp Ctren_US
dc.identifier.journalEXPERIMENTAL AND MOLECULAR MEDICINEen_US
dc.description.noteOpen access journal.en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleExperimental & Molecular Medicine
dc.source.volume50
dc.source.issue7
refterms.dateFOA2018-09-24T21:11:30Z


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© The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 International License.
Except where otherwise noted, this item's license is described as © The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 International License.