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Supplementary Materials and Methods, Supplementary Tables S1-S4 from The Impact of Receiving Predictive Genetic Information about Lynch Syndrome on Individual Colonoscopy and Smoking Behaviors

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posted on 2023-03-31, 13:51 authored by Joanne Soo-Min Kim, Peter C. Coyte, Michelle Cotterchio, Louise A. Keogh, Louisa B. Flander, Clara Gaff, Audrey Laporte

Table S1. Study participants' smoking status. Table S2. Estimation results of the logit regression models only on the study participants who underwent colonoscopy before baseline. Table S3. Estimation results of the logit regression model only on the study participants who smoked before baseline. Table S4. Estimation results: subgroup analyses only on the study participants with no previous cancer diagnosis at follow-up

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National Cancer Institute

Ontario Familial Colorectal Cancer Registry

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ARTICLE ABSTRACT

Background: This study investigated whether receiving the results of predictive genetic testing for Lynch syndrome, indicating the presence or absence of an inherited predisposition to various cancers, including colorectal cancer, was associated with change in individual colonoscopy and smoking behaviors, which could prevent colorectal cancer.Methods: The study population included individuals with no previous diagnosis of colorectal cancer, whose families had already identified deleterious mutations in the mismatch repair or EPCAM genes. Hypotheses were generated from a simple health economics model and tested against individual-level panel data from the Australasian Colorectal Cancer Family Registry.Results: The empirical analysis revealed evidence consistent with some of the hypotheses, with a higher likelihood of undergoing colonoscopy in those who discovered their genetic predisposition to colorectal cancer and a lower likelihood of quitting smoking in those who discovered their lack thereof.Conclusions: Predictive genetic information about Lynch syndrome was associated with change in individual colonoscopy and smoking behaviors but not necessarily in ways to improve population health.Impact: The study findings suggest that the impact of personalized medicine on disease prevention is intricate, warranting further analyses to determine the net benefits and costs. Cancer Epidemiol Biomarkers Prev; 25(11); 1524–33. ©2016 AACR.

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