ArticleCancer informatics2013
Comprehensive assessment and network analysis of the emerging genetic susceptibility landscape of prostate cancer.
Article in Cancer informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- SNPs-Panel Polymorphism Variations inBiomedicines · 2023Article
- Elucidation of the Genomic-Epigenomic Interaction Landscape of Aggressive Prostate Cancer.BioMed research international · 2021Article
- CircRNA_0058063 functions as a ceRNA in bladder cancer progression via targeting miR-486-3p/FOXP4 axis.Bioscience reports · 2020Article
- Integrating germline and somatic variation information using genomic data for the discovery of biomarkers in prostate cancer.BMC cancer · 2019Article
- Mapping the Germline and Somatic Mutation Interaction Landscape in Indolent and Aggressive Prostate Cancers.Journal of oncology · 2019Article
- Interactions between Germline and Somatic Mutated Genes in Aggressive Prostate Cancer.Prostate cancer · 2019Article
- An Integrative Genomics Approach for Associating Genome-Wide Association Studies Information With Localized and Metastatic Prostate Cancer Phenotypes.Biomarker insights · 2017Article
- Integrative genomic analysis for the discovery of biomarkers in prostate cancer.Biomarker insights · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent advances in high-throughput genotyping have made possible identification of genetic variants associated with increased risk of developing prostate cancer using genome-wide associations studies (GWAS). However, the broader context in which the identified genetic variants operate is poorly understood. Here we present a comprehensive assessment, network, and pathway analysis of the emerging genetic susceptibility landscape of prostate cancer.
methodsWe created a comprehensive catalog of genetic variants and associated genes by mining published reports and accompanying websites hosting supplementary data on GWAS. We then performed network and pathway analysis using single nucleotide polymorphism (SNP)-containing genes to identify gene regulatory networks and pathways enriched for genetic variants.
resultsWe identified multiple gene networks and pathways enriched for genetic variants including IGF-1, androgen biosynthesis and androgen signaling pathways, and the molecular mechanisms of cancer. The results provide putative functional bridges between GWAS findings and gene regulatory networks and biological pathways.
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