ArticleHuman genetics2014
Gene-gene and gene-environment interactions in ulcerative colitis.
Article in Human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Gene-Environment Interactions in Inflammatory Bowel Disease: A Systematic Review of Human Epidemiologic Studies.Journal of Crohn's & colitis · 2025Pooled it
- Pooled it
- Association between PTGER4 polymorphisms and inflammatory bowel disease risk in Caucasian: A meta-analysis.Medicine · 2020Pooled it
- Primary sclerosing cholangitis complicated with ulcerative colitis and double gene mutations of UGT1A1 and SLC25A13: a case report.Frontiers in medicine · 2026Article
- Network proximity analysis as a theoretical model for identifying potential novel therapies in primary sclerosing cholangitis.BMC medical genomics · 2024Article
- Gaining new insights into the etiology of ulcerative colitis through a cross-tissue transcriptome-wide association study.Frontiers in genetics · 2024Article
- Polygenic risk score predicts risk of primary sclerosing cholangitis in inflammatory bowel disease.BMJ open gastroenterology · 2023Article
- Deep integrative models for large-scale human genomics.Nucleic acids research · 2023Article
- A Mendelian Randomization Analysis Investigates Causal Associations between Inflammatory Bowel Diseases and Variable Risk Factors.Nutrients · 2023Article
- Environmental variables and genome-environment interactions predicting IBD diagnosis in large UK cohort.Scientific reports · 2022Article
- Smoking Interacts With CHRNA5, a Nicotinic Acetylcholine Receptor Subunit Gene, to Influence the Risk of IBD-Related Surgery.Inflammatory bowel diseases · 2018Article
- Ileal pouch of ulcerative colitis and familial adenomatous polyposis patients exhibit modulation of autophagy markers.Scientific reports · 2018Article
- Root Extract ofFrontiers in pharmacology · 2018Article
- Analysis of the human monocyte-derived macrophage transcriptome and response to lipopolysaccharide provides new insights into genetic aetiology of inflammatory bowel disease.PLoS genetics · 2017Article
- Genetics and Pathogenesis of Inflammatory Bowel Disease.Annual review of pathology · 2016Review
- Application of computational methods in genetic study of inflammatory bowel disease.World journal of gastroenterology · 2016Review
- Influence of environmental factors on the onset and course of inflammatory bowel disease.World journal of gastroenterology · 2016Review
- Molecular Alterations of Colorectal Cancer with Inflammatory Bowel Disease.Digestive diseases and sciences · 2015Review
- CCDC88B is a novel regulator of maturation and effector functions of T cells during pathological inflammation.The Journal of experimental medicine · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
Genome-wide association studies (GWAS) have identified at least 133 ulcerative colitis (UC) associated loci. The role of genetic factors in clinical practice is not clearly defined. The relevance of genetic variants to disease pathogenesis is still uncertain because of not characterized gene-gene and gene-environment interactions. We examined the predictive value of combining the 133 UC risk loci with genetic interactions in an ongoing inflammatory bowel disease (IBD) GWAS. The Wellcome Trust Case-Control Consortium (WTCCC) IBD GWAS was used as a replication cohort. We applied logic regression (LR), a novel adaptive regression methodology, to search for high-order interactions. Exploratory genotype correlations with UC sub-phenotypes [extent of disease, need of surgery, age of onset, extra-intestinal manifestations and primary sclerosing cholangitis (PSC)] were conducted. The combination of 133 UC loci yielded good UC risk predictability [area under the curve (AUC) of 0.86]. A higher cumulative allele score predicted higher UC risk. Through LR, several lines of evidence for genetic interactions were identified and successfully replicated in the WTCCC cohort. The genetic interactions combined with the gene-smoking interaction significantly improved predictability in the model (AUC, from 0.86 to 0.89, P = 3.26E-05). Explained UC variance increased from 37 to 42 % after adding the interaction terms. A within case analysis found suggested genetic association with PSC. Our study demonstrates that the LR methodology allows the identification and replication of high-order genetic interactions in UC GWAS datasets. UC risk can be predicted by a 133 loci and improved by adding gene-gene and gene-environment interactions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.