Asset Details
Do you wish to reserve the book?
Integrating muti-omics data to identify tissue-specific DNA methylation biomarkers for cancer risk
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Integrating muti-omics data to identify tissue-specific DNA methylation biomarkers for cancer risk
Do you wish to request the book?
Integrating muti-omics data to identify tissue-specific DNA methylation biomarkers for cancer risk
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Integrating muti-omics data to identify tissue-specific DNA methylation biomarkers for cancer risk
2024
Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 38/43
/ 45
/ 45/91
/ 49
/ Biomarkers, Tumor - genetics
/ Cancer
/ DNA
/ Female
/ Gene Expression Regulation, Neoplastic
/ Genetic Predisposition to Disease
/ Genetics
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Humanities and Social Sciences
/ Humans
/ Male
/ Neoplasms, Germ Cell and Embryonal
/ Organ Specificity - genetics
/ Risk
/ Science
/ Tissues
