186 related articles for article (PubMed ID: 32071122)
1. External Validation of Risk Prediction Models Incorporating Common Genetic Variants for Incident Colorectal Cancer Using UK Biobank.
Saunders CL; Kilian B; Thompson DJ; McGeoch LJ; Griffin SJ; Antoniou AC; Emery JD; Walter FM; Dennis J; Yang X; Usher-Smith JA
Cancer Prev Res (Phila); 2020 Jun; 13(6):509-520. PubMed ID: 32071122
[TBL] [Abstract][Full Text] [Related]
2. External validation of risk prediction models for incident colorectal cancer using UK Biobank.
Usher-Smith JA; Harshfield A; Saunders CL; Sharp SJ; Emery J; Walter FM; Muir K; Griffin SJ
Br J Cancer; 2018 Mar; 118(5):750-759. PubMed ID: 29381683
[TBL] [Abstract][Full Text] [Related]
3. Integrating genome-wide polygenic risk scores and non-genetic risk to predict colorectal cancer diagnosis using UK Biobank data: population based cohort study.
Briggs SEW; Law P; East JE; Wordsworth S; Dunlop M; Houlston R; Hippisley-Cox J; Tomlinson I
BMJ; 2022 Nov; 379():e071707. PubMed ID: 36351667
[TBL] [Abstract][Full Text] [Related]
4. A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.
Zheng Y; Hua X; Win AK; MacInnis RJ; Gallinger S; Marchand LL; Lindor NM; Baron JA; Hopper JL; Dowty JG; Antoniou AC; Zheng J; Jenkins MA; Newcomb PA
Cancer Epidemiol Biomarkers Prev; 2020 Mar; 29(3):549-557. PubMed ID: 31932410
[TBL] [Abstract][Full Text] [Related]
5. Polygenic risk prediction models for colorectal cancer: a systematic review.
Sassano M; Mariani M; Quaranta G; Pastorino R; Boccia S
BMC Cancer; 2022 Jan; 22(1):65. PubMed ID: 35030997
[TBL] [Abstract][Full Text] [Related]
6. External validation of models for predicting risk of colorectal cancer using the China Kadoorie Biobank.
Abhari RE; Thomson B; Yang L; Millwood I; Guo Y; Yang X; Lv J; Avery D; Pei P; Wen P; Yu C; Chen Y; Chen J; Li L; Chen Z; Kartsonaki C
BMC Med; 2022 Sep; 20(1):302. PubMed ID: 36071519
[TBL] [Abstract][Full Text] [Related]
7. Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors.
Jeon J; Du M; Schoen RE; Hoffmeister M; Newcomb PA; Berndt SI; Caan B; Campbell PT; Chan AT; Chang-Claude J; Giles GG; Gong J; Harrison TA; Huyghe JR; Jacobs EJ; Li L; Lin Y; Le Marchand L; Potter JD; Qu C; Bien SA; Zubair N; Macinnis RJ; Buchanan DD; Hopper JL; Cao Y; Nishihara R; Rennert G; Slattery ML; Thomas DC; Woods MO; Prentice RL; Gruber SB; Zheng Y; Brenner H; Hayes RB; White E; Peters U; Hsu L;
Gastroenterology; 2018 Jun; 154(8):2152-2164.e19. PubMed ID: 29458155
[TBL] [Abstract][Full Text] [Related]
8. Polygenic risk scores for the prediction of common cancers in East Asians: A population-based prospective cohort study.
Ho PJ; Tan IB; Chong DQ; Khor CC; Yuan JM; Koh WP; Dorajoo R; Li J
Elife; 2023 Mar; 12():. PubMed ID: 36971353
[TBL] [Abstract][Full Text] [Related]
9. Risk prediction models for incident systemic lupus erythematosus among women in the Nurses' health study cohorts using genetics, family history, and lifestyle and environmental factors.
Cui J; Malspeis S; Choi MY; Lu B; Sparks JA; Yoshida K; Costenbader KH
Semin Arthritis Rheum; 2023 Feb; 58():152143. PubMed ID: 36481507
[TBL] [Abstract][Full Text] [Related]
10. Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank.
Gafni A; Dite GS; Spaeth Tuff E; Allman R; Hopper JL
PLoS One; 2021; 16(9):e0251469. PubMed ID: 34525106
[TBL] [Abstract][Full Text] [Related]
11. Comparison of prognostic models to predict the occurrence of colorectal cancer in asymptomatic individuals: a systematic literature review and external validation in the EPIC and UK Biobank prospective cohort studies.
Smith T; Muller DC; Moons KGM; Cross AJ; Johansson M; Ferrari P; Fagherazzi G; Peeters PHM; Severi G; Hüsing A; Kaaks R; Tjonneland A; Olsen A; Overvad K; Bonet C; Rodriguez-Barranco M; Huerta JM; Barricarte Gurrea A; Bradbury KE; Trichopoulou A; Bamia C; Orfanos P; Palli D; Pala V; Vineis P; Bueno-de-Mesquita B; Ohlsson B; Harlid S; Van Guelpen B; Skeie G; Weiderpass E; Jenab M; Murphy N; Riboli E; Gunter MJ; Aleksandrova KJ; Tzoulaki I
Gut; 2019 Apr; 68(4):672-683. PubMed ID: 29615487
[TBL] [Abstract][Full Text] [Related]
12. Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models.
Liao W; Coupland CAC; Burchardt J; Baldwin DR; ; Gleeson FV; Hippisley-Cox J
Lancet Respir Med; 2023 Aug; 11(8):685-697. PubMed ID: 37030308
[TBL] [Abstract][Full Text] [Related]
13. Validation and public health modelling of risk prediction models for kidney cancer using the UK Biobank.
Harrison H; Pennells L; Wood A; Rossi SH; Stewart GD; Griffin SJ; Usher-Smith JA
BJU Int; 2022 Apr; 129(4):498-511. PubMed ID: 34538014
[TBL] [Abstract][Full Text] [Related]
14. Multi-cancer risk stratification based on national health data: a retrospective modelling and validation study.
Jung AW; Holm PC; Gaurav K; Hjaltelin JX; Placido D; Mortensen LH; Birney E; Brunak SR; Gerstung M
Lancet Digit Health; 2024 Jun; 6(6):e396-e406. PubMed ID: 38789140
[TBL] [Abstract][Full Text] [Related]
15. Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies.
Tian J; Zhang M; Zhang F; Gao K; Lu Z; Cai Y; Chen C; Ning C; Li Y; Qian S; Bai H; Liu Y; Zhang H; Chen S; Li X; Wei Y; Li B; Zhu Y; Yang J; Jin M; Miao X; Chen K
Genome Med; 2024 Jun; 16(1):81. PubMed ID: 38872215
[TBL] [Abstract][Full Text] [Related]
16. Associations of combined phenotypic aging and genetic risk with incident cancer: A prospective cohort study.
Bian L; Ma Z; Fu X; Ji C; Wang T; Yan C; Dai J; Ma H; Hu Z; Shen H; Wang L; Zhu M; Jin G
Elife; 2024 Apr; 13():. PubMed ID: 38687190
[TBL] [Abstract][Full Text] [Related]
17. Development and External Validation of a Melanoma Risk Prediction Model Based on Self-assessed Risk Factors.
Vuong K; Armstrong BK; Weiderpass E; Lund E; Adami HO; Veierod MB; Barrett JH; Davies JR; Bishop DT; Whiteman DC; Olsen CM; Hopper JL; Mann GJ; Cust AE; McGeechan K;
JAMA Dermatol; 2016 Aug; 152(8):889-96. PubMed ID: 27276088
[TBL] [Abstract][Full Text] [Related]
18. Healthy lifestyles, genetic modifiers, and colorectal cancer risk: a prospective cohort study in the UK Biobank.
Choi J; Jia G; Wen W; Shu XO; Zheng W
Am J Clin Nutr; 2021 Apr; 113(4):810-820. PubMed ID: 33675346
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of Lifestyle-Based Models to Predict Incidence of the Most Common Potentially Preventable Cancers.
Usher-Smith JA; Sharp SJ; Luben R; Griffin SJ
Cancer Epidemiol Biomarkers Prev; 2019 Jan; 28(1):67-75. PubMed ID: 30213791
[TBL] [Abstract][Full Text] [Related]
20. Colorectal Cancer Risk by Genetic Variants in Populations With and Without Colonoscopy History.
Guo F; Chen X; Chang-Claude J; Hoffmeister M; Brenner H
JNCI Cancer Spectr; 2021 Feb; 5(1):. PubMed ID: 33644683
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]