ArticleNature communications2020
An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01221168 (ProGene), which is not on this map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
ProGene: Etude Genetique et Epidemiologique du Cancer de la Prostate Familial
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 245 citations in OpenAlex.
- Pooled it
- An atlas of genetic effects on the monocyte methylome across European and African populations.Genome medicine · 2026Article
- Powerful large scale inference in high dimensional mediation analysis.PLoS computational biology · 2026Article
- Proteome-wide association study of prostate cancer risk across populations.Nature communications · 2025Article
- Causal Relationship Between Blood Metabolites and Prostate Cancer Risk: A Two-Sample Mendelian Randomization Study.Molecular carcinogenesis · 2025Article
- Integrating Multi-Omics Data to Uncover Prostate Tissue DNA Methylation Biomarkers and Target Genes for Prostate Cancer Risk.Molecular carcinogenesis · 2025Article
- Identification of proteins associated with type 2 diabetes risk in diverse racial and ethnic populations.Diabetologia · 2024Article
- MIMOSA: a resource consisting of improved methylome prediction models increases power to identify DNA methylation-phenotype associations.Epigenetics · 2024Article
- Integrating muti-omics data to identify tissue-specific DNA methylation biomarkers for cancer risk.Nature communications · 2024Article
- High-Fat Diets Fed during Pregnancy Cause Changes to Pancreatic Tissue DNA Methylation and Protein Expression in the Offspring: A Multi-Omics Approach.International journal of molecular sciences · 2024Article
- Article
- Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma.GigaScience · 2024Article
- A novel assessment of whole-mount Gleason grading in prostate cancer to identify candidates for radical prostatectomy: a machine learning-based multiomics study.Theranostics · 2024Article
- Identification of candidate DNA methylation biomarkers related to Alzheimer's disease risk by integrating genome and blood methylome data.Translational psychiatry · 2023Article
- Review
- Identifying susceptibility genes for essential hypertension by transcriptome-wide association study.Biochemistry and biophysics reports · 2022Article
- Cooperative learning for multiview analysis.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Common Pathogenetic Mechanisms Underlying Aging and Tumor and Means of Interventions.Aging and disease · 2022Article
- From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer.International journal of molecular sciences · 2022Review
- Associations of carotid intima media thickness with gene expression in whole blood and genetically predicted gene expression across 48 tissues.Human molecular genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors at 20 institutions in 18 countries.
Funding
Abstract
It remains elusive whether some of the associations identified in genome-wide association studies of prostate cancer (PrCa) may be due to regulatory effects of genetic variants on CpG sites, which may further influence expression of PrCa target genes. To search for CpG sites associated with PrCa risk, here we establish genetic models to predict methylation (N = 1,595) and conduct association analyses with PrCa risk (79,194 cases and 61,112 controls). We identify 759 CpG sites showing an association, including 15 located at novel loci. Among those 759 CpG sites, methylation of 42 is associated with expression of 28 adjacent genes. Among 22 genes, 18 show an association with PrCa risk. Overall, 25 CpG sites show consistent association directions for the methylation-gene expression-PrCa pathway. We identify DNA methylation biomarkers associated with PrCa, and our findings suggest that specific CpG sites may influence PrCa via regulating expression of candidate PrCa target genes.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.