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eQTL in diseased colon tissue identifies potential target genes associated with IBD
Nina C Nishiyama1,2, Sophie Silverstein2,3, Kimberly Darlington2,4
1Curriculum in Bioinformatics and Computational Biology, Department of Genetics, School of Medicine, Department of Biology, College of Arts and Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Using expression quantitative trait loci (eQTL) analysis in inflammatory bowel diseases (IBD) colon tissue, researchers identified 194 potential target genes for 108 IBD loci. Diseased tissue eQTL studies are crucial for understanding IBD variant consequences.
Area of Science:
- Genetics
- Immunology
- Gastroenterology
Background:
- Genome-wide association studies (GWAS) have identified over 300 loci linked to inflammatory bowel diseases (IBD).
- The specific genes targeted by these IBD-associated loci remain largely unknown.
- Understanding these genetic links is crucial for IBD pathogenesis research.
Purpose of the Study:
- To identify potential target genes for IBD-associated loci using a disease-focused expression quantitative trait loci (eQTL) analysis.
- To investigate whether using IBD patient colon tissue can reveal regulatory variations missed in non-IBD cohorts.
- To explore the impact of disease state on the regulatory landscape and its association with IBD risk variants.
Main Methods:
- Conducted a disease-focused eQTL analysis on colon tissue samples from 252 IBD patients.
- Compared eQTL data from IBD colon tissue with data from non-IBD colon tissue.
- Analyzed eQTL results for enrichment with IBD GWAS colocalizations and identified potential target genes.
Main Results:
- Identified 194 potential target genes for 108 IBD loci by integrating eQTL data from both IBD and non-IBD colon tissues.
- Observed enrichment of eQTL in IBD tissue for IBD GWAS colocalizations.
- Provided evidence for specific genes like ABO and TNFRSF14, and discovered additional potential target genes compared to analyses using only non-IBD tissue.
- Found that disease state may alter the regulatory landscape, potentially increasing eQTL effect sizes.
Conclusions:
- Disease-specific eQTL analysis in IBD colon tissue is valuable for identifying target genes of IBD-associated variants.
- The regulatory landscape can be altered by the disease state, influencing the effects of genetic variants.
- These findings underscore the importance of studying diseased tissue to fully understand the functional consequences of IBD-associated genetic loci.
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