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The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression
The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression
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The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression
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The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression
The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression

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The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression
The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression
Journal Article

The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression

2017
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Overview
Genome-wide association studies have identified a great number of non-coding risk variants for colorectal cancer (CRC). To date, the majority of these variants have not been functionally studied. Identification of allele-specific transcription factor (TF) binding is of great importance to understand regulatory consequences of such variants. A recently developed proteome-wide analysis of disease-associated SNPs (PWAS) enables identification of TF-DNA interactions in an unbiased manner. Here we perform a large-scale PWAS study to comprehensively characterize TF-binding landscape that is associated with CRC, which identifies 731 allele-specific TF binding at 116 CRC risk loci. This screen identifies the A-allele of rs1800734 within the promoter region of MLH1 as perturbing the binding of TFAP4 and consequently increasing DCLK3 expression through a long-range interaction, which promotes cancer malignancy through enhancing expression of the genes related to epithelial-to-mesenchymal transition. Functional characterisation of non-coding risk variants for colorectal cancer is missing. Here the authors conduct a large-scale proteome-wide analysis of disease associated SNPs to characterize allele-specific transcription factor binding landscape in colorectal cancer and identify one functionally significant SNP.