SynthesisBMC genomics2022
A systematic review and functional bioinformatics analysis of genes associated with Crohn's disease identify more than 120 related genes.
Synthesis in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Gain-of-function mutation inbioRxiv : the preprint server for biology · 2026Article
- Genomic analysis unlocks the potential of denosumab as a targeted therapy for Crohn's disease.Scientific reports · 2025Article
- Gene Therapy in Crohn's Disease: Current Preclinical Challenges and Future Translational Avenues.Biomedicines · 2025Review
- Gut Feeling: Biomarkers and Biosensors' Potential in Revolutionizing Inflammatory Bowel Disease (IBD) Diagnosis and Prognosis-A Comprehensive Review.Biosensors · 2025Review
- Familial Mediterranean Fever as a Cause of Recurrent Pleurisy in a Child With Crohn's Disease: A Case Report.Case reports in pulmonology · 2025Article
- The Contribution of Genetic and Epigenetic Factors: An Emerging Concept in the Assessment and Prognosis of Inflammatory Bowel Diseases.International journal of molecular sciences · 2024Review
- Article
- Genome-Wide Association Studies of Diarrhea Frequency and Duration in the First Year of Life in Bangladeshi Infants.The Journal of infectious diseases · 2023Article
- SKAP2-A Molecule at the Crossroads for Integrin Signalling and Immune Cell Migration and Function.Biomedicines · 2023Review
- The Intersection of Human and Veterinary Medicine-A Possible Direction towards the Improvement of Cell Therapy Protocols in the Treatment of Perianal Fistulas.International journal of molecular sciences · 2022Review
- Autoencoder-Transformed Transcriptome Improves Genotype-Phenotype Association Studies.IEEE transactions on computational biology and bioinformaticsArticle
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCrohn's disease is one of the two categories of inflammatory bowel diseases that affect the gastrointestinal tract. The heritability estimate has been reported to be 0.75. Several genes linked to Crohn's disease risk have been identified using a plethora of strategies such as linkage-based studies, candidate gene association studies, and lately through genome-wide association studies (GWAS). Nevertheless, to our knowledge, a compendium of all the genes that have been associated with CD is lacking.
methodsWe conducted functional analyses of a gene set generated from a systematic review where genes potentially related to CD found in the literature were analyzed and classified depending on the genetic evidence reported and putative biological function. For this, we retrieved and analyzed 2496 abstracts comprising 1067 human genes plus 22 publications regarding 133 genes from GWAS Catalog. Then, each gene was curated and categorized according to the type of evidence associated with Crohn's disease.
resultsWe identified 126 genes associated with Crohn's disease risk by specific experiments. Additionally, 71 genes were recognized associated through GWAS alone, 18 to treatment response, 41 to disease complications, and 81 to related diseases. Bioinformatic analysis of the 126 genes supports their importance in Crohn's disease and highlights genes associated with specific aspects such as symptoms, drugs, and comorbidities. Importantly, most genes were not included in commercial genetic panels suggesting that Crohn's disease is genetically underdiagnosed.
conclusionsWe identified a total of 126 genes from PubMed and 71 from GWAS that showed evidence of association to diagnosis, 18 to treatment response, and 41 to disease complications in Crohn's disease. This prioritized gene catalog can be explored at http://victortrevino.bioinformatics.mx/CrohnDisease .
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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.