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Multiomics dissection of molecular regulatory mechanisms underlying autoimmune-associated noncoding SNPs
Xiao-Feng Chen, Ming-Rui Guo, Yuan-Yuan Duan, Feng Jiang, Hao Wu, Shan-Shan Dong, Xiao-Rong Zhou, Hlaing Nwe Thynn, Cong-Cong Liu, Lin Zhang, Yan Guo, Tie-Lin Yang
Xiao-Feng Chen, Ming-Rui Guo, Yuan-Yuan Duan, Feng Jiang, Hao Wu, Shan-Shan Dong, Xiao-Rong Zhou, Hlaing Nwe Thynn, Cong-Cong Liu, Lin Zhang, Yan Guo, Tie-Lin Yang
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Research Article Genetics

Multiomics dissection of molecular regulatory mechanisms underlying autoimmune-associated noncoding SNPs

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Abstract

More than 90% of autoimmune-associated variants are located in noncoding regions, leading to challenges in deciphering the underlying causal roles of functional variants and genes and biological mechanisms. Therefore, to reduce the gap between traditional genetic findings and mechanistic understanding of disease etiologies and clinical drug development, it is important to translate systematically the regulatory mechanisms underlying noncoding variants. Here, we prioritized functional noncoding SNPs with regulatory gene targets associated with 19 autoimmune diseases by incorporating hundreds of immune cell–specific multiomics data. The prioritized SNPs are associated with transcription factor (TF) binding, histone modification, or chromatin accessibility, indicating their allele-specific regulatory roles. Their target genes are significantly enriched in immunologically related pathways and other known immunologically related functions. We found that 90.1% of target genes are regulated by distal SNPs involving several TFs (e.g., the DNA-binding protein CCCTC-binding factor [CTCF]), suggesting the importance of long-range chromatin interaction in autoimmune diseases. Moreover, we predicted potential drug targets for autoimmune diseases, including 2 genes (NFKB1 and SH2B3) with known drug indications on other diseases, highlighting their potential drug repurposing opportunities. Taken together, these findings may provide useful information for future experimental follow-up and drug applications on autoimmune diseases.

Authors

Xiao-Feng Chen, Ming-Rui Guo, Yuan-Yuan Duan, Feng Jiang, Hao Wu, Shan-Shan Dong, Xiao-Rong Zhou, Hlaing Nwe Thynn, Cong-Cong Liu, Lin Zhang, Yan Guo, Tie-Lin Yang

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Figure 6

Identifying key TFs mediating autoimmune genetic regulatory network.

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Identifying key TFs mediating autoimmune genetic regulatory network.
(A)...
(A) Scatter plot showing fold enrichment (FC) and significance enrichment level in 368 predicted motif TFs between prioritized functional SNPs and all autoimmune SNPs using Fisher’s exact test. Significantly higher enriched TFs (FC > 1, P < 0.05/368) are marked in blue. See detailed motif enrichment analysis results in Supplemental Table 13. (B) Schematic showing 3 TF-target gene regulatory models. The gray arrow indicates SNP-target gene interaction. (C) Venn diagram showing counts of 3 types of target genes on significant TFs in B. (D) Comparison between distal and local target genes on significant TFs. Count of all target genes are shown with TFs sorted by their count. (E) Annotated immunological functions on significant TFs (see detailed TF function information in Supplemental Table 13). The immunological functional resources are briefly described in Figure 4. Further detailed description is summarized in Supplemental Table 10. See Methods for detailed information.

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ISSN 2379-3708

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