دورية أكاديمية
Integrating muti-omics data to identify tissue-specific DNA methylation biomarkers for cancer risk.
العنوان: | Integrating muti-omics data to identify tissue-specific DNA methylation biomarkers for cancer risk. |
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المؤلفون: | Yang Y; Center for Public Health Genomics, Department of Public Health Sciences, UVA Comprehensive Cancer Center, School of Medicine, University of Virginia, Charlottesville, VA, USA. vta8we@virginia.edu., Chen Y; Institute of Respiratory Health, Frontiers Science Center for Disease‑Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Xu S; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA., Guo X; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA., Jia G; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA., Ping J; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA., Shu X; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Zhao T; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA., Yuan F; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA., Wang G; Institute of Respiratory Health, Frontiers Science Center for Disease‑Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Xie Y; Institute of Respiratory Health, Frontiers Science Center for Disease‑Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Ci H; Institute of Respiratory Health, Frontiers Science Center for Disease‑Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Liu H; Institute of Respiratory Health, Frontiers Science Center for Disease‑Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Qi Y; Institute of Respiratory Health, Frontiers Science Center for Disease‑Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Liu Y; Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA, USA., Liu D; Institute of Respiratory Health, Frontiers Science Center for Disease‑Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Li W; Institute of Respiratory Health, Frontiers Science Center for Disease‑Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Ye F; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA., Shu XO; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA., Zheng W; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA., Li L; Department of Family Medicine, UVA Comprehensive Cancer Center, School of Medicine, University of Virginia, Charlottesville, VA, USA., Cai Q; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA. qiuyin.cai@vumc.org., Long J; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA. jirong.long@vumc.org. |
المصدر: | Nature communications [Nat Commun] 2024 Jul 18; Vol. 15 (1), pp. 6071. Date of Electronic Publication: 2024 Jul 18. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: [London] : Nature Pub. Group |
مواضيع طبية MeSH: | DNA Methylation* , Genome-Wide Association Study* , CpG Islands*/genetics , Neoplasms*/genetics , Biomarkers, Tumor*/genetics , Organ Specificity*/genetics, Humans ; Male ; Female ; Genetic Predisposition to Disease ; Gene Expression Regulation, Neoplastic ; Epigenesis, Genetic ; Neoplasms, Germ Cell and Embryonal ; Testicular Neoplasms |
مستخلص: | 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. (© 2024. The Author(s).) |
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معلومات مُعتمدة: | R01 CA247987 United States CA NCI NIH HHS; R01CA247987 U.S. Department of Health & Human Services | National Institutes of Health (NIH); R01CA249863 U.S. Department of Health & Human Services | National Institutes of Health (NIH); R00CA248822 U.S. Department of Health & Human Services | National Institutes of Health (NIH); R01 CA249863 United States CA NCI NIH HHS; R00 CA248822 United States CA NCI NIH HHS |
المشرفين على المادة: | 0 (Biomarkers, Tumor) |
SCR Disease Name: | Testicular Germ Cell Tumor |
تواريخ الأحداث: | Date Created: 20240718 Date Completed: 20240718 Latest Revision: 20240721 |
رمز التحديث: | 20240721 |
مُعرف محوري في PubMed: | PMC11258330 |
DOI: | 10.1038/s41467-024-50404-y |
PMID: | 39025880 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2041-1723 |
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DOI: | 10.1038/s41467-024-50404-y |