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Sökning: onr:"swepub:oai:prod.swepub.kib.ki.se:141062939" > Transcriptomics of ...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003354naa a2200433 4500
001oai:prod.swepub.kib.ki.se:141062939
003SwePub
008240701s2019 | |||||||||||000 ||eng|
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:1410629392 URI
024a https://doi.org/10.1183/13993003.00102-20192 DOI
040 a (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Jiang, YL4 aut
2451 0a Transcriptomics of atopy and atopic asthma in white blood cells from children and adolescents
264 c 2019-03-28
264 1b European Respiratory Society (ERS),c 2019
520 a Early allergic sensitisation (atopy) is the first step in the development of allergic diseases such as atopic asthma later in life. Genes and pathways associated with atopy and atopic asthma in children and adolescents have not been well characterised.A transcriptome-wide association study (TWAS) of atopy and atopic asthma in white blood cells (WBCs) or whole blood was conducted in a cohort of 460 Puerto Ricans aged 9–20 years (EVA-PR study) and in a cohort of 250 Swedish adolescents (BAMSE study). Pathway enrichment and network analyses were conducted to further assess top findings, and classification models of atopy and atopic asthma were built using expression levels for the top differentially expressed genes (DEGs).In a meta-analysis of the study cohorts, both previously implicated genes (e.g. IL5RA and IL1RL1) and genes not previously reported in TWASs (novel) were significantly associated with atopy and/or atopic asthma. Top novel genes for atopy included SIGLEC8 (p=8.07×10−13), SLC29A1 (p=7.07×10−12) and SMPD3 (p=1.48×10−11). Expression quantitative trait locus analyses identified multiple asthma-relevant genotype–expression pairs, such as rs2255888/ALOX15. Pathway enrichment analysis uncovered 16 significantly enriched pathways at adjusted p<0.01, including those relevant to T-helper cell type 1 (Th1) and Th2 immune responses. Classification models built using the top DEGs and a few demographic/parental history variables accurately differentiated subjects with atopic asthma from nonatopic control subjects (area under the curve 0.84).We have identified genes and pathways for atopy and atopic asthma in children and adolescents, using transcriptome-wide data from WBCs and whole blood samples.
700a Gruzieva, Ou Karolinska Institutet4 aut
700a Wang, T4 aut
700a Forno, E4 aut
700a Boutaoui, N4 aut
700a Sun, T4 aut
700a Merid, SKu Karolinska Institutet4 aut
700a Acosta-Perez, E4 aut
700a Kull, Iu Karolinska Institutet4 aut
700a Canino, G4 aut
700a Anto, JM4 aut
700a Bousquet, J4 aut
700a Melen, Eu Karolinska Institutet4 aut
700a Chen, W4 aut
700a Celedon, JC4 aut
710a Karolinska Institutet4 org
773t The European respiratory journald : European Respiratory Society (ERS)g 53:5q 53:5x 1399-3003x 0903-1936
856u https://erj.ersjournals.com/content/erj/53/5/1900102.full.pdf
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:141062939
8564 8u https://doi.org/10.1183/13993003.00102-2019

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