دورية أكاديمية
Co-expression in tissue-specific gene networks links genes in cancer-susceptibility loci to known somatic driver genes
| العنوان: | Co-expression in tissue-specific gene networks links genes in cancer-susceptibility loci to known somatic driver genes |
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| المؤلفون: | Carlos G. Urzúa-Traslaviña, Tijs van Lieshout, Floranne Boulogne, Kevin Domanegg, Mahmoud Zidan, Olivier B. Bakker, Annique Claringbould, Jeroen de Ridder, Wilbert Zwart, Harm-Jan Westra, Patrick Deelen, Lude Franke |
| المصدر: | BMC Medical Genomics, Vol 17, Iss 1, Pp 1-14 (2024) |
| بيانات النشر: | BMC, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Internal medicine LCC:Genetics |
| مصطلحات موضوعية: | Cancer susceptibility genes, Cancer drivers, Tissue-specific, Gene networks, GWAS, recount3, Internal medicine, RC31-1245, Genetics, QH426-470 |
| الوصف: | Abstract Background The genetic background of cancer remains complex and challenging to integrate. Many somatic mutations within genes are known to cause and drive cancer, while genome-wide association studies (GWAS) of cancer have revealed many germline risk factors associated with cancer. However, the overlap between known somatic driver genes and positional candidate genes from GWAS loci is surprisingly small. We hypothesised that genes from multiple independent cancer GWAS loci should show tissue-specific co-regulation patterns that converge on cancer-specific driver genes. Results We studied recent well-powered GWAS of breast, prostate, colorectal and skin cancer by estimating co-expression between genes and subsequently prioritising genes that show significant co-expression with genes mapping within susceptibility loci from cancer GWAS. We observed that the prioritised genes were strongly enriched for cancer drivers defined by COSMIC, IntOGen and Dietlein et al. The enrichment of known cancer driver genes was most significant when using co-expression networks derived from non-cancer samples of the relevant tissue of origin. Conclusion We show how genes within risk loci identified by cancer GWAS can be linked to known cancer driver genes through tissue-specific co-expression networks. This provides an important explanation for why seemingly unrelated sets of genes that harbour either germline risk factors or somatic mutations can eventually cause the same type of disease. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1755-8794 |
| Relation: | https://doaj.org/toc/1755-8794 |
| DOI: | 10.1186/s12920-024-01941-4 |
| URL الوصول: | https://doaj.org/article/87d4375406f84fe0ab53a48e271de9a9 |
| رقم الأكسشن: | edsdoj.87d4375406f84fe0ab53a48e271de9a9 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 17558794 |
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| DOI: | 10.1186/s12920-024-01941-4 |