Abstract

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.

Integrative genomic and transcriptomic analyses on publicly available data-sets together with in silico drug repositioning identifies alternative therapeutic options to treat atopic dermatitis.

Details

Title
Integrative transcriptome-wide analysis of atopic dermatitis for drug repositioning
Author
Song, Jaeseung 1   VIAFID ORCID Logo  ; Kim, Daeun 1   VIAFID ORCID Logo  ; Lee, Sora 1 ; Jung, Junghyun 2 ; Joo, Jong Wha J. 3 ; Jang, Wonhee 1   VIAFID ORCID Logo 

 Dongguk University-Seoul, Department of Life Sciences, Seoul, Republic of Korea (GRID:grid.255168.d) (ISNI:0000 0001 0671 5021) 
 Dongguk University-Seoul, Department of Life Sciences, Seoul, Republic of Korea (GRID:grid.255168.d) (ISNI:0000 0001 0671 5021); University of Southern California, Department of Clinical Pharmacy, School of Pharmacy, Los Angeles, USA (GRID:grid.42505.36) (ISNI:0000 0001 2156 6853) 
 Dongguk University-Seoul, Department of Computer Science and Engineering, Seoul, Republic of Korea (GRID:grid.255168.d) (ISNI:0000 0001 0671 5021) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2679000245
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.