ArticleMammalian genome : official journal of the International Mammalian Genome Society2011
Quantitative trait loci in a bacterially induced model of inflammatory bowel disease.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
The trial behind it
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Gut microbiota and pathobiont exposure influences disease incidence in non-obese diabetic mice.Frontiers in microbiology · 2026Article
- Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications.Frontiers in microbiology · 2024Review
- Host genetic control of gut microbiome composition.Mammalian genome : official journal of the International Mammalian Genome Society · 2021Review
- Associations of Genetic Variants Contributing to Gut Microbiota Composition in Immunoglobin A Nephropathy.mSystems · 2021Article
- Integrative Analysis ofFrontiers in microbiology · 2021Article
- QTL Mapping of Intestinal Neutrophil Variation in Threespine Stickleback Reveals Possible Gene Targets Connecting Intestinal Inflammation and Systemic Health.G3 (Bethesda, Md.) · 2020Article
- Analysis of Cdcs1 colitogenic effects in the hematopoietic compartment reveals distinct microbiome interaction and a new subcongenic interval active in T cells.Mucosal immunology · 2019Article
- Colitis-associated colon cancer: Is it in your genes?World journal of gastroenterology · 2015Review
- Chromosome substitution strains: gene discovery, functional analysis, and systems studies.Mammalian genome : official journal of the International Mammalian Genome Society · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Inflammatory bowel diseases (IBDs) are complex disorders caused by a combination of environmental, microbial, and genetic factors. Genome-wide association studies in humans have successfully identified multiple genes and loci associated with disease susceptibility, but the mechanisms by which these loci interact with each other and/or with environmental factors (i.e., intestinal microbiota) to cause disease are poorly understood. Helicobacter hepaticus-induced intestinal inflammation in mice is an ideal model system for elucidating the genetic basis of IBD susceptibility in a bacterially induced system, as there are significant differences in H. hepaticus-induced disease susceptibility among inbred mouse strains. Infected A/J mice develop acute overexpression of proinflammatory cytokines followed 2-3 months later by chronic cecal inflammation, whereas infected C57BL/6 mice fail to develop cecal inflammation or increased cytokine expression. The goal of this project was to use quantitative trait locus (QTL) mapping to evaluate genetic factors that contribute to the differential disease susceptibility between these two mouse strains. Using acute cecal IL-12/23p40 expression as a biomarker for disease susceptibility, QTL analysis of H. hepaticus-infected F(2) mice revealed involvement of multiple loci. The loci with the strongest association were located on Chromosome 3 and Chromosome 17, with logarithm of odds (LOD) scores of 6.89 and 3.09, respectively. Cecal expression of IL-12/23p40 in H. hepaticus-infected C57BL/6J-Chr3(A/J)/NaJ chromosome substitution mice had an intermediate phenotype, significantly higher than in resistant C57BL/6 but lower than in susceptible A/J mice, confirming the importance of this locus to the immune response to H. hepaticus infection.
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What OpenQuestion holds
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.