scholarly journals Genetic Risk Score, Combined Lifestyle Factors and Risk of Colorectal Cancer

2019 ◽  
Vol 51 (3) ◽  
pp. 1033-1040 ◽  
Author(s):  
Young Ae Cho ◽  
Jeonghee Lee ◽  
Jae Hwan Oh ◽  
Hee Jin Chang ◽  
Dae Kyung Sohn ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Lifestyle Factors

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

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

Evaluating the predictive value of genetic risk score in colorectal cancer among Chinese Han population

2019 ◽  
Vol 65 (3) ◽  
pp. 271-279 ◽  
Author(s):  
Ding Ye ◽  
Danjie Jiang ◽  
Simeng Gu ◽  
Yingying Mao ◽  
Sangni Qian ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Score ◽  
Predictive Value ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Han Population

scholarly journals The Nordic Nutrition Recommendations and prostate cancer risk in the Cancer of the Prostate in Sweden (CAPS) study

2012 ◽  
Vol 15 (10) ◽  
pp. 1897-1908 ◽  
Author(s):  
Elisabeth Möller ◽  
Carlotta Galeone ◽  
Hans-Olov Adami ◽  
Jan Adolfsson ◽  
Therese M-L Andersson ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Prostate Cancer Risk ◽  
Positive Association ◽  
Population Based ◽  
Lifestyle Factors ◽  
Cancer Of The Prostate ◽  
Nordic Nutrition Recommendations

AbstractObjectiveThe Nordic Nutrition Recommendations (NNR) aim at preventing diet-associated diseases such as cancer in the Nordic countries. We evaluated adherence to the NNR in relation to prostate cancer (PC) in Swedish men, including potential interaction with a genetic risk score and with lifestyle factors.DesignPopulation-based case–control study (Cancer of the Prostate in Sweden (CAPS), 2001–2002). Using data from a semi-quantitative FFQ, we created an NNR adherence score and estimated relative risks of PC by unconditional logistic regression. Individual score components were modelled separately and potential modifying effects were assessed on the multiplicative scale.SettingFour regions in the central and northern parts of Sweden.SubjectsIncident PC patients (n 1386) and population controls (n 940), frequency-matched on age and region.ResultsNo overall association with PC was found, possibly due to the generally high adherence to the NNR score and its narrow distribution in the study population. Among individual NNR score components, high compared with low intakes of polyunsaturated fat were associated with an increased relative risk of localized PC. No formal interaction with genetic or lifestyle factors was observed, although in stratified analysis a positive association between the NNR and PC was suggested among men with a high genetic risk score but not among men with a medium or low genetic risk score.ConclusionsOur findings do not support an association between NNR adherence and PC. The suggestive interaction with the genetic risk score deserves further investigations in other study populations.

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

2017 ◽  
Vol 10 (9) ◽  
pp. 535-541 ◽  
Author(s):  
Motoki Iwasaki ◽  
Sachiko Tanaka-Mizuno ◽  
Aya Kuchiba ◽  
Taiki Yamaji ◽  
Norie Sawada ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prediction Model ◽  
Risk Prediction ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Risk Prediction Model ◽  
Japanese Men

Genetic Risk, a Healthy Lifestyle, and Type 2 Diabetes: the Dongfeng-Tongji Cohort Study

2020 ◽  
Vol 105 (4) ◽  
pp. 1242-1250
Author(s):  
Xu Han ◽  
Yue Wei ◽  
Hua Hu ◽  
Jing Wang ◽  
Zhaoyang Li ◽  
...  
Keyword(s):  
Cohort Study ◽  
Risk Score ◽  
Genetic Risk ◽  
Healthy Lifestyle ◽  
Genetic Risk Score ◽  
Lifestyle Factors ◽  
Diabetes Risk ◽  
Incident Diabetes ◽  
Polygenic Risk Score ◽  
Weighted Genetic Risk Score

Abstract Objective The objective of this study is to examine whether healthy lifestyle could reduce diabetes risk among individuals with different genetic profiles. Design A prospective cohort study with a median follow-up of 4.6 years from the Dongfeng-Tongji cohort was performed. Participants A total of 19 005 individuals without diabetes at baseline participated in the study. Main Variable Measure A healthy lifestyle was determined based on 6 factors: nonsmoker, nondrinker, healthy diet, body mass index of 18.5 to 23.9 kg/m2, waist circumference less than 85 cm for men and less than 80 cm for women, and higher level of physical activity. Associations of combined lifestyle factors and incident diabetes were estimated using Cox proportional hazard regression. A polygenic risk score of 88 single-nucleotide polymorphisms previously associated with diabetes was constructed to test for association with diabetes risk among 7344 individuals, using logistic regression. Results A total of 1555 incident diabetes were ascertained. Per SD increment of simple and weighted genetic risk score was associated with a 1.39- and 1.34-fold higher diabetes risk, respectively. Compared with poor lifestyle, intermediate and ideal lifestyle were reduced to a 23% and 46% risk of incident diabetes, respectively. Association of lifestyle with diabetes risk was independent of genetic risk. Even among individuals with high genetic risk, intermediate and ideal lifestyle were separately associated with a 29% and 49% lower risk of diabetes. Conclusion Genetic and combined lifestyle factors were independently associated with diabetes risk. A healthy lifestyle could lower diabetes risk across different genetic risk categories, emphasizing the benefit of entire populations adhering to a healthy lifestyle.

scholarly journals An Exploration of the Determinants of Gestational Weight Gain in African American Women: Genetic Factors and Energy Expenditure

2017 ◽  
Vol 20 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Ying Meng ◽  
Susan W. Groth ◽  
Patricia Stewart ◽  
Joyce A. Smith
Keyword(s):  
Risk Factors ◽  
African American ◽  
Weight Gain ◽  
African American Women ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Lifestyle Factors ◽  
American Women ◽  
Gestational Weight

Background: Excessive gestational weight gain (GWG) has a long-term impact on women’s body weight and contributes to the development of obesity in the mother and her child. Many risk factors for GWG have been identified, but to date, only 6–33.8% of the variance in GWG has been explained. The purpose of this study was to evaluate the overall variance of GWG that can be explained by including weight-adjusted resting metabolic rate (aRMR) and a genetic risk score constructed on obesity-related genes in addition to sociodemographic and lifestyle factors. Methods: In this observational study involving 55 African American women, data collected/measured during pregnancy included sociodemographic factors, medical information, lifestyle factors, aRMR, and seven obesity-related genes. Multivariable linear regression was performed to evaluate the variance in GWG explained by the potential risk factors listed above. Results: The mean GWG was 15 kg (±7.5 kg), and 63.6% of women gained more than the Institute of Medicine’s GWG recommendations. The final regression model explained 53.3% of the variance in GWG. Higher genetic risk score, lower aRMR, and higher dietary intake of total energy and percentage of fat were significantly associated with increased GWG ( p < .05). These factors explained 18% additional variance in GWG over that explained by significant sociodemographic and lifestyle factors in the analysis (i.e., maternal age, prepregnancy body mass index, parity, illegal drug use, and education). Conclusion: Overall, our results indicate that the genetic risk score, aRMR, and dietary intake have a substantial impact on GWG in African American women.

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
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