Article

eTumorRisk, an algorithm predicts cancer risk based on comutated gene networks in an individual’s germline genome

2018-08-16

Abstract excerpt

Early cancer detection has potentials to reduce cancer burden. A prior identification of the high-risk population of cancer will facilitate cancer early detection. Traditionally, cancer predisposition genes such as BRCA1/2 have been used for identifying high-risk population of developing breast and ovarian cancers. However, such high-risk genes have only a few. Moreover, the complexity of cancer hints multiple gen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 44f8be8a-0225-5533-b395-9affe561f7e3
DOI: 10.1101/393090

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

eTumorRisk, an algorithm predicts cancer risk based on comutated gene networks in an individual’s germline genomeDOI 10.1101/393090Read

Gene-Specific Cancer Patterns Among Pathogenic Germline Variant CarriersSemantic proximity Read

Germline genomic patterns are associated with cancer risk, oncogenic pathways, and clinical outcomes.Semantic proximity Read

A comparative analysis of network mutation burdens across 21 tumor types augments discovery from cancer genomesSemantic proximity Read

Shared and unique mutational gene co-occurrences in cancers.Semantic proximity Read

Germline genomic patterns are associated with cancer risk, oncogenic pathways and clinical outcomesSemantic proximity Read

Network of Cancer Genes (NCG 3.0): integration and analysis of genetic and network properties of cancer genes.Semantic proximity Read

Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.Semantic proximity Read

DGAT-onco: A powerful method to detect oncogenes by integrating differential mutational analysis and functional impacts of somatic mutationsSemantic proximity Read

Computational approaches for the identification of cancer genes and pathways.Semantic proximity Read

gcMECM: graph clustering of mutual exclusivity of cancer mutations.Semantic proximity Read

Rare non-synonymous germline mutations systematically define the risk of triple negative breast cancerSemantic proximity Read

A growing network of cancer-susceptibility genes.Semantic proximity Read