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Cited 11 time in webofscience Cited 13 time in scopus
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Integrative transcriptome-wide analysis of atopic dermatitis for drug repositioningopen access

Authors
Song, JaeseungKim, DaeunLee, SoraJung, JunghyunJoo, Jong Wha J.Jang, Wonhee
Issue Date
Jun-2022
Publisher
Nature Publishing Group
Keywords
Transcriptome; Atopic Dermatitis; Drug Repositioning; Genetics; Genome-wide Association Study; Human; Meta Analysis; Metabolism; Procedures; Quality Of Life; Dermatitis, Atopic; Drug Repositioning; Genome-wide Association Study; Humans; Quality Of Life; Transcriptome
Citation
Communications Biology, v.5, no.1, pp 1 - 13
Pages
13
Indexed
SCIE
SCOPUS
Journal Title
Communications Biology
Volume
5
Number
1
Start Page
1
End Page
13
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/2946
DOI
10.1038/s42003-022-03564-w
ISSN
2399-3642
2399-3642
Abstract
Integrative genomic and transcriptomic analyses on publicly available data-sets together with in silico drug repositioning identifies alternative therapeutic options to treat atopic dermatitis. Atopic dermatitis (AD) is one of the most common inflammatory skin diseases, which significantly impact the quality of life. Transcriptome-wide association study (TWAS) was conducted to estimate both transcriptomic and genomic features of AD and detected significant associations between 31 expression quantitative loci and 25 genes. Our results replicated well-known genetic markers for AD, as well as 4 novel associated genes. Next, transcriptome meta-analysis was conducted with 5 studies retrieved from public databases and identified 5 additional novel susceptibility genes for AD. Applying the connectivity map to the results from TWAS and meta-analysis, robustly enriched perturbations were identified and their chemical or functional properties were analyzed. Here, we report the first research on integrative approaches for an AD, combining TWAS and transcriptome meta-analysis. Together, our findings could provide a comprehensive understanding of the pathophysiologic mechanisms of AD and suggest potential drug candidates as alternative treatment options.
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