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| Content Provider | PubMed Central |
|---|---|
| Author | Zhang, Jizhun Jiang, Kewei Liang, Lv Wang, Hui Shen, Zhanlong Gao, Zhidong Wang, Bo Yang, Yang Ye, Yingjiang Wang, Shan |
| Editor | Novelli, Giuseppe |
| Copyright Year | 2015 |
| Abstract | Although genome-wide association studies have identified many risk loci associated with colorectal cancer, the molecular basis of these associations are still unclear. We aimed to infer biological insights and highlight candidate genes of interest within GWAS risk loci. We used an in silico pipeline based on functional annotation, quantitative trait loci mapping of cis-acting gene, PubMed text-mining, protein-protein interaction studies, genetic overlaps with cancer somatic mutations and knockout mouse phenotypes, and functional enrichment analysis to prioritize the candidate genes at the colorectal cancer risk loci. Based on these analyses, we observed that these genes were the targets of approved therapies for colorectal cancer, and suggested that drugs approved for other indications may be repurposed for the treatment of colorectal cancer. This study highlights the use of publicly available data as a cost effective solution to derive biological insights, and provides an empirical evidence that the molecular basis of colorectal cancer can provide important leads for the discovery of new drugs. |
| Related Links | http://dx.doi.org/10.1371/journal.pone.0116477 |
| Starting Page | 116477 |
| File Format | |
| ISSN | 19326203 |
| e-ISSN | 19326203 |
| Journal | PLoS ONE |
| Issue Number | 3 |
| Volume Number | 10 |
| Language | English |
| Publisher | Public Library of Science |
| Publisher Date | 2015-03-01 |
| Access Restriction | Open |
| Rights Holder | Public Library of Science |
| Subject Keyword | Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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