scholarly journals Prediction of Colorectal Cancer Risk Using a Genetic Risk Score: The Korean Cancer Prevention Study-II (KCPS-II)

2012 ◽  
Vol 10 (3) ◽  
pp. 175 ◽  
Author(s):  
Jaeseong Jo ◽  
Chung Mo Nam ◽  
Jae Woong Sull ◽  
Ji Eun Yun ◽  
Sang Yeun Kim ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Risk ◽  
Cancer Prevention ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Colorectal Cancer Risk ◽  
Prevention Study

scholarly journals Strongly enhanced colorectal cancer risk stratification by combining family history and genetic risk score

2018 ◽  
Vol Volume 10 ◽  
pp. 143-152 ◽  
Author(s):  
Korbinian Weigl ◽  
Jenny Chang-Claude ◽  
Phillip Knebel ◽  
Li Hsu ◽  
Michael Hoffmeister ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Family History ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Colorectal Cancer Risk

Evaluating the effect of multiple genetic risk score models on colorectal cancer risk prediction

Gene ◽  
2018 ◽  
Vol 673 ◽  
pp. 174-180 ◽  
Author(s):  
Junyi Xin ◽  
Haiyan Chu ◽  
Shuai Ben ◽  
Yuqiu Ge ◽  
Wei Shao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Colorectal Cancer Risk

scholarly journals Pre-Diagnostic Circulating Metabolites and Colorectal Cancer Risk in the Cancer Prevention Study-II Nutrition Cohort

Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 156
Author(s):  
Marjorie L. McCullough ◽  
Rebecca A. Hodge ◽  
Peter T. Campbell ◽  
Victoria L. Stevens ◽  
Ying Wang
Keyword(s):  
Colorectal Cancer ◽  
Cancer Risk ◽  
Cancer Prevention ◽  
Conditional Logistic Regression ◽  
Colorectal Cancer Risk ◽  
Prevention Study ◽  
Blood Draw ◽  
Logistic Regression Models ◽  
Nested Case Control ◽  
Control Study

Untargeted metabolomic studies have identified potential biomarkers of colorectal cancer risk, but evidence is still limited and broadly inconsistent. Among 39,239 Cancer Prevention Study II Nutrition cohort participants who provided a blood sample between 1998–2001, 517 newly diagnosed colorectal cancers were identified through 30 June 2015. In this nested case–control study, controls were matched 1:1 to cases on age, sex, race and date of blood draw. Mass spectroscopy-based metabolomic analyses of pre-diagnostic plasma identified 886 named metabolites, after quality control exclusions. Conditional logistic regression models estimated multivariable-adjusted odds ratios (OR) and 95% confidence intervals (CI) for 1 standard deviation (SD) increase in each metabolite with risk of colorectal cancer. Six metabolites were associated with colorectal cancer risk at a false discovery rate < 0.20. These metabolites were of several classes, including cofactors and vitamins, nucleotides, xenobiotics, lipids and amino acids. Five metabolites (guanidinoacetate, 2’-O-methylcytidine, vanillylmandelate, bilirubin (E,E) and N-palmitoylglycine) were positively associated (OR per 1 SD = 1.29 to 1.32), and one (3-methylxanthine) was inversely associated with CRC risk (OR = 0.79, 95% CI, 0.69–0.89). We did not replicate findings from two earlier prospective studies of 250 cases each after adjusting for multiple comparisons. Large pooled prospective analyses are warranted to confirm or refute these findings and to discover and replicate metabolites associated with colorectal cancer risk.

scholarly journals Iron and colorectal cancer risk in the α-tocopherol, β-carotene cancer prevention study

2006 ◽  
Vol 118 (12) ◽  
pp. 3147-3152 ◽  
Author(s):  
Amanda J. Cross ◽  
Marc J. Gunter ◽  
Richard J. Wood ◽  
Pirjo Pietinen ◽  
Philip R. Taylor ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Risk ◽  
Cancer Prevention ◽  
Colorectal Cancer Risk ◽  
Prevention Study ◽  
Β Carotene

Abstract 881: Benchmarking genome-wide polygenic risk score development techniques in colorectal cancer risk prediction

2021 ◽  
Author(s):  
Minta Thomas ◽  
Lori C Sakoda ◽  
Jeffrey K Lee ◽  
Mark A Jenkins ◽  
Andrea Burnett-Hartman ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Risk Score ◽  
Colorectal Cancer Risk ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
Genome Wide

scholarly journals Genetic Risk Score Is Associated With Prevalence of Advanced Neoplasms in a Colorectal Cancer Screening Population

2018 ◽  
Vol 155 (1) ◽  
pp. 88-98.e10 ◽  
Author(s):  
Korbinian Weigl ◽  
Hauke Thomsen ◽  
Yesilda Balavarca ◽  
Jacklyn N. Hellwege ◽  
Martha J. Shrubsole ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Screening Population
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