TY - JOUR
T1 - Multitissue Integrative Analysis Identifies Susceptibility Genes for Atopic Dermatitis
AU - Wu, Hao
AU - Ke, Xin
AU - Huang, Wei
AU - Shi, Wei
AU - Yao, Shi
AU - Duan, Yuan Yuan
AU - Tian, Wen
AU - Dong, Shan Shan
AU - Xue, Han Zhong
AU - Guo, Yan
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2023/4
Y1 - 2023/4
N2 - Atopic dermatitis (AD) is a chronic relapsing inflammatory skin disease with multiple environmental and genetic factors involved in its etiology. Although lots of genetic loci associated with AD have been reported by GWASs, only a small part of phenotypic variations can be explained. To identify additional susceptibility genes on AD, we conducted a large-scale transcriptome-wide association study using a joint-tissue imputation approach in ∼840,000 European individuals combined with six precomputed gene expression weights of four AD-relevant tissues, including skin fibroblast, lymphocyte, and whole blood. The Mendelian randomization causal inference analysis was performed to estimate the causal effect of transcriptome-wide association study‒identified genes. We identified 51 genes significantly associated with AD after Bonferroni corrections, and 19 genes showed putatively causal associations such as an established gene FLG (P = 3.98 × 10‒10) and seven genes that have not been implicated in previous transcriptome-wide association studies, such as AQP3 (P = 4.43 × 10‒7) and PDCD1 (P = 7.66 × 10‒7). Among them, four genes (AQP3, PDCD1, ADCY3, and DOLPP1) were further supported in differential expression analyses or the Mouse Genome Informatics database. Overall, our study identified susceptibility genes associated with AD, providing, to our knowledge, previously unreported clues in revealing the genetic mechanisms in AD.
AB - Atopic dermatitis (AD) is a chronic relapsing inflammatory skin disease with multiple environmental and genetic factors involved in its etiology. Although lots of genetic loci associated with AD have been reported by GWASs, only a small part of phenotypic variations can be explained. To identify additional susceptibility genes on AD, we conducted a large-scale transcriptome-wide association study using a joint-tissue imputation approach in ∼840,000 European individuals combined with six precomputed gene expression weights of four AD-relevant tissues, including skin fibroblast, lymphocyte, and whole blood. The Mendelian randomization causal inference analysis was performed to estimate the causal effect of transcriptome-wide association study‒identified genes. We identified 51 genes significantly associated with AD after Bonferroni corrections, and 19 genes showed putatively causal associations such as an established gene FLG (P = 3.98 × 10‒10) and seven genes that have not been implicated in previous transcriptome-wide association studies, such as AQP3 (P = 4.43 × 10‒7) and PDCD1 (P = 7.66 × 10‒7). Among them, four genes (AQP3, PDCD1, ADCY3, and DOLPP1) were further supported in differential expression analyses or the Mouse Genome Informatics database. Overall, our study identified susceptibility genes associated with AD, providing, to our knowledge, previously unreported clues in revealing the genetic mechanisms in AD.
UR - https://www.scopus.com/pages/publications/85144766278
U2 - 10.1016/j.jid.2022.09.006
DO - 10.1016/j.jid.2022.09.006
M3 - 文章
C2 - 36155055
AN - SCOPUS:85144766278
SN - 0022-202X
VL - 143
SP - 602-611.e14
JO - Journal of Investigative Dermatology
JF - Journal of Investigative Dermatology
IS - 4
ER -