Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

The utility and predictive value of combinations of low penetrance genes for screening and risk prediction of colorectal cancer

30 Apr 2010

Abstract excerpt

Despite the fact that colorectal cancer (CRC) is a highly treatable form of cancer if detected early, a very low proportion of the eligible population undergoes screening for this form of cancer. Integrating a genomic screening profile as a component of existing screening programs for CRC could potentially improve the effectiveness of population screening by allowing the assignment of individuals to different...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Colorectal Cancer Screening and Detection
Share to Genetic Associations and Epidemiology
Share to Genetic factors in colorectal cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 20437058
DOI: 10.1007/s00439-010-0828-1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The utility and predictive value of combinations of low penetrance genes for screening and risk prediction of colorectal cancerPMID 20437058Read ↗

A model to determine colorectal cancer risk using common genetic susceptibility loci.Semantic proximity Read ↗

The genetic heterogeneity of colorectal cancer predisposition - guidelines for gene discovery.Semantic proximity Read ↗

Effectiveness of colorectal cancer screening integrating non-genetic and genetic risk: a prospective study based on UK Biobank data.Semantic proximity Read ↗

A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.Semantic proximity Read ↗

A new colorectal cancer risk prediction model incorporating family history, personal and environmental factorsSemantic proximity Read ↗

Cumulative impact of common genetic variants and other risk factors on colorectal cancer risk in 42,103 individuals.Semantic proximity Read ↗

Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank.Semantic proximity Read ↗

Ability of known susceptibility SNPs to predict colorectal cancer risk for persons with and without a family historySemantic proximity Read ↗

Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk.Semantic proximity Read ↗

Effects of Screenings in Reducing Colorectal Cancer Incidence and Mortality Differ by Polygenic Risk Scores.Semantic proximity Read ↗

COGENT (COlorectal cancer GENeTics): an international consortium to study the role of polymorphic variation on the risk of colorectal cancer.Semantic proximity Read ↗

Phenome-wide association study identifies multiple traits associated with a polygenic risk score for colorectal cancer.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.