Fig. 1

Multi-omics integration indicates that TMIGD1 is negatively correlated with inflammatory characteristics of CD. A Heatmap of our in-house dataset showing different expression of mRNA in patients with CD (n=7) vs healthy individuals (NC, n=10). The arrowhead indicates TMIGD1 expression level. B List of top 30 genes correlated with CDAI, CRP, SES-CD, and GHAS; the absolute value of Spearman r using correlation analysis between the FPKM of genes and CDAI, CRP, SES-CD, and GHAS. C Venn diagram showing the common genes in the four groups. D Multi-omics data integration of the Dutch 1000IBD cohort, including genomic information of 1125 patients, transcriptomic data of intestinal biopsies of 171 patients, and serum Olink proteomic data of 1026 patients. E Upper panel indicates the −log₁₀ p value of cis-eQTLs within a region of ±1 Mb around the TMIGD1 gene center. Lower panel indicates the linkage disequilibrium (LD, R²) of 831 variants. F Examples of significant cis-eQTLs. 0, 1, and 2 indicate the homozygotes of reference alleles, heterozygotes, and homozygotes of alternative alleles in patients, respectively. Y-axis indicates the normalized gene expression count. G, H Examples of significant associations between cis-eQTL variants and pro-inflammatory proteins in serum. Blue in (G) indicates the negative associations while red indicates the positive associations. Values around the circle represent the absolute effect size generated from the linear model. Y-axis in (H) shows the normalized expression values of serum proteins