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

Inclusion of a Genetic Risk Score into a Validated Risk Prediction Model for Colorectal Cancer in Japanese Men Improves Performance.

Cancer prevention research (Philadelphia, Pa.) - 1 Sept 2017

Iwasaki Motoki, Tanaka-Mizuno Sachiko, Kuchiba Aya, Yamaji Taiki, Sawada Norie, Goto Atsushi, Shimazu Taichi, Sasazuki Shizuka, Wang Hansong, Marchand Loïc Le, Tsugane Shoichiro

Abstract excerpt

We previously developed and validated a risk prediction model for colorectal cancer in Japanese men using modifiable risk factors. To further improve risk prediction, we evaluated the degree of improvement obtained by adding a genetic risk score (GRS) using genome-wide association study (GWAS)-identified risk variants to our validated model. We examined the association between 36 risk variants identified by GWAS...

Read the complete abstract on PubMed

Topics

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

Share to Case-Control Studies
Share to Colorectal Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Testing

Share to Incidence

Share to Proportional Hazards Models

Share to Risk Assessment

Share to Sex Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 28729251
DOI: 10.1158/1940-6207.CAPR-17-0141
PMCID: PMC6365161

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Inclusion of a Genetic Risk Score into a Validated Risk Prediction Model for Colorectal Cancer in Japanese Men Improves Performance.PMID 28729251Read ↗

Polygenic risk prediction models for colorectal cancer: a systematic review.Semantic proximity Read ↗

A risk prediction model for colorectal cancer using genome-wide association study-identified polymorphisms and established risk factors among Japanese: results from two independent case-control studies.Semantic proximity Read ↗

A colorectal cancer prediction model using traditional and genetic risk scores in Koreans.Semantic proximity Read ↗

Evaluating the predictive value of genetic risk score in colorectal cancer among Chinese Han population.Semantic proximity Read ↗

Evaluating the effect of multiple genetic risk score models on colorectal cancer risk prediction.Semantic proximity Read ↗

The more from East-Asian, the better: risk prediction of colorectal cancer risk by GWAS-identified SNPs among Japanese.Semantic proximity Read ↗

Performance of common genetic variants in risk prediction for colorectal cancer in Chinese: A two-stage and multicenter study.Semantic proximity Read ↗

Developing and validating polygenic risk scores for colorectal cancer risk prediction in East Asians.Semantic proximity Read ↗

Optimizing colorectal cancer screening through polygenic risk score-based risk stratification: evidence from a population-based cohort and screening trial.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 model to determine colorectal cancer risk using common genetic susceptibility loci.Semantic proximity Read ↗

[Risk prediction of colorectal cancer with common genetic variants and conventional non-genetic factors in a Chinese Han population].Semantic proximity Read ↗

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