| Autor: |
Yang, Yaohua, Chen, Yaxin, Xu, Shuai, Guo, Xingyi, Jia, Guochong, Ping, Jie, Shu, Xiang, Zhao, Tianying, Yuan, Fangcheng, Wang, Gang, Xie, Yufang, Ci, Hang, Liu, Hongmo, Qi, Yawen, Liu, Yongjun, Liu, Dan, Li, Weimin, Ye, Fei, Shu, Xiao-Ou, Zheng, Wei |
| Předmět: |
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| Zdroj: |
Nature Communications; 7/18/2024, Vol. 15 Issue 1, p1-13, 13p |
| Abstrakt: |
The relationship between tissue-specific DNA methylation and cancer risk remains inadequately elucidated. Leveraging resources from the Genotype-Tissue Expression consortium, here we develop genetic models to predict DNA methylation at CpG sites across the genome for seven tissues and apply these models to genome-wide association study data of corresponding cancers, namely breast, colorectal, renal cell, lung, ovarian, prostate, and testicular germ cell cancers. At Bonferroni-corrected P < 0.05, we identify 4248 CpGs that are significantly associated with cancer risk, of which 95.4% (4052) are specific to a particular cancer type. Notably, 92 CpGs within 55 putative novel loci retain significant associations with cancer risk after conditioning on proximal signals identified by genome-wide association studies. Integrative multi-omics analyses reveal 854 CpG-gene-cancer trios, suggesting that DNA methylation at 309 distinct CpGs might influence cancer risk through regulating the expression of 205 unique cis-genes. These findings substantially advance our understanding of the interplay between genetics, epigenetics, and gene expression in cancer etiology. The relationship between tissue-specific DNA methylation and cancer risk remains to be elucidated. Here, the authors predict DNA methylation at CpG sites for seven cancer types and investigate how these influence cancer risk. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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