| Title: | Integrated Pleiotropic Gene Set Unveils Comorbidity Insights across Digestive Cancers and Other Diseases |
| Journal: | Genes |
| Published: | 10 Apr 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38674412/ |
| DOI: | https://doi.org/10.3390/genes15040478 |
| URL: | https://www.mdpi.com/2073-4425/15/4/478/pdf?version=1712740145 |
Publication 9928
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Abstract
Comorbidities are prevalent in digestive cancers, intensifying patient discomfort and complicating prognosis. Identifying potential comorbidities and investigating their genetic connections in a systemic manner prove to be instrumental in averting additional health challenges during digestive cancer management. Here, we investigated 150 diseases across 18 categories by collecting and integrating various factors related to disease comorbidity, such as disease-associated SNPs or genes from sources like MalaCards, GWAS Catalog and UK Biobank. Through this extensive analysis, we have established an integrated pleiotropic gene set comprising 548 genes in total. Particularly, there enclosed the genes encoding major histocompatibility complex or related to antigen presentation. Additionally, we have unveiled patterns in protein-protein interactions and key hub genes/proteins including TP53, KRAS, CTNNB1 and PIK3CA, which may elucidate the co-occurrence of digestive cancers with certain diseases. These findings provide valuable insights into the molecular origins of comorbidity, offering potential avenues for patient stratification and the development of targeted therapies in clinical trials.</p>
5 Authors
- Xinnan Wu
- Guangwen Luo
- Zhaonian Dong
- Wen Zheng
- Gengjie Jia
1 Application
| Application ID | Title |
|---|---|
| 78814 | Data-driven decision making: Genetically tailored dietary recommendation for preventing metabolic and digestive disorders |
Enabling scientific discoveries that improve human health