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Gastro Hep Advances|August 12, 2024
Predicting 10-Year Risk of Pancreatic Cancer Using a Combined Genetic and Clinical ModelGillian S Dite, Erika Spaeth, Chi Kuen Wong, et al.Plos One|September 15, 2021
Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK BiobankAviv Gafni, Gillian S Dite, Erika Spaeth Tuff, et al.Melanoma Research|April 25, 2023
Melanoma risk prediction based on a polygenic risk score and clinical risk factorsChi Kuen Wong, Gillian S Dite, Erika Spaeth, et al.BMC Medicine|March 27, 2025
Cancer incidence inconsistency between UK Biobank participants and the population: a prospective cohort studyChenxi Li, Gillian S Dite, Tuong L Nguyen, et al.Journal of Cancer Epidemiology|May 7, 2014
Cancer risks for relatives of children with cancerJohn A Heath, Elizabeth Smibert, Elizabeth M Algar, et al.Twin Research and Human Genetics : the Official Journal of the International Society for Twin Studies|November 8, 2019
The Association between Socioeconomic Status and Psychological Distress: A Within and Between Twin StudyJanine R Lam, Jessica Tyler, Katrina J Scurrah, et al.Bone|May 7, 2013
Architecture of cortical bone determines in part its remodelling and structural decayMinh Bui, Ashild Bjørnerem, Ali Ghasem-Zadeh, et al.Breast Cancer Research and Treatment|February 7, 2023
Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic riskRichard Allman, Yi Mu, Gillian S Dite, et al.Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|May 24, 2024
Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature ReviewZhoufeng Ye, Tuong L Nguyen, Gillian S Dite, et al.Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|April 28, 2012
Inference about causation from examination of familial confounding: application to longitudinal twin data on mammographic density measures that predict breast cancer riskJennifer Stone, Gillian S Dite, Graham G Giles, et al.Pageof 12