Genetic testing for heart disease susceptibility: potential impact on motivation to quit smoking. Health behavior changes after genetic risk assessment for Alzheimer disease: The REVEAL Study. Psychological impact of genetic testing for familial hypercholesterolemia within a previously aware population: a randomized controlled trial. Efficacy of genotype notification to Japanese smokers on smoking cessation--an intervention study at workplace. Psychological and behavioural impact of genetic testing smokers for lung cancer risk: a phase II exploratory trial. Can genetic risk information enhance motivation for smoking cessation? An analogue study. An intervention study of smoking cessation with feedback on genetic cancer susceptibility in Japan. Incorporating genetic susceptibility feedback into a smoking cessation program for African-American smokers with low income. The impact of genetic testing for Crohn's disease, risk magnitude and graphical format on motivation to stop smoking: an experimental analogue study.
As genetic tests for common gene variants and multifactorial, lifestyle-related conditions become available, it will be increasingly important to determine the psychological and behavioral impact of this emerging class of genetic tests. Our aim was to examine the potential impact of genetic testing for heart disease susceptibility on psychological predictors of smoking cessation. Two hundred and sixty-one smokers were asked to imagine that they had undergone a test for heart disease risk. They were randomly assigned to a genetic test scenario (low- or high-risk result) or an oxidative test scenario (high-risk result). Smokers in the genetic test-high risk group reported greater intention to quit smoking than smokers in the oxidative test-high risk group (p = 0.009); 30% of this was mediated by their holding stronger beliefs that quitting would reduce their heart disease risk (outcome expectations) (p = 0.011). The effect of genetic test-high risk feedback on outcome expectations was greatest amongst smokers with no heart disease family history (p = 0.038). The results suggest that genetic testing for heart disease risk may enhance interventions designed to improve health via increasing smoking cessation rates. Whether the findings hold true in studies that use real rather than hypothetical genetic tests remains to be seen. Risk information for Alzheimer disease (AD) may be communicated through susceptibility gene disclosure, even though this is not currently in clinical use. The REVEAL Study is the first randomized clinical trial of risk assessment for AD with apolipoprotein E (APOE) genotype and numerical risk estimate disclosure. We examined whether APOE genotype and numerical risk disclosure to asymptomatic individuals at high risk for AD alters health behaviors. One hundred sixty-two participants were randomized to either intervention (APOE disclosure) or control (no genotype disclosure) groups. Subjects in both groups received numerical lifetime risk estimates of future AD development based on sex and family history of AD. The intervention group received their APOE genotype. Subjects were informed that no proven preventive measures for AD existed and given an information sheet on preventative therapies under investigation. Participants who learned they were epsilon 4 positive were significantly more likely than epsilon 4 negative participants to report AD-specific health behavior change 1 year after disclosure (adjusted odds ratio: 2.73; 95% confidence interval: 1.14, 6.54; P=0.02). Post hoc analyses revealed similar significant associations between numerical lifetime risk estimates and self-report of AD-specific health behavior change. Despite lack of preventive measures for AD, knowledge of APOE genotype, numerical lifetime risk, or both, influences health behavior. This trial tests the hypothesis that confirming a clinical diagnosis of familial hypercholesterolemia (FH) by finding a genetic mutation reduces patients' perceptions of control over the disease and adherence to risk-reducing behaviors. Three hundred forty-one families, comprising 341 hypercholesterolemia probands and 128 adult relatives, were randomized to one of two groups: (a) routine clinical diagnosis; (b) routine clinical diagnosis plus genetic testing (mutation searching in probands and direct gene testing in relatives). The main outcome measures were perceptions of control over hypercholesterolemia, adherence to cholesterol-lowering medication, diet, physical activity, and smoking. There was no support for the main hypothesis: finding a mutation had no impact on perceived control or adherence to risk-reducing behavior (all P-values > 0.10). While all groups believed that lowering cholesterol was an effective way of reducing the risk of a heart attack, participants in whom a mutation was found believed less strongly in the efficacy of diet in reducing their cholesterol level (P = 0.02 at 6 months) and showed a trend in believing more strongly in the efficacy of cholesterol-lowering medication (P = 0.06 at 6 months). In conclusion, finding a mutation to confirm a clinical diagnosis of FH in a previously aware population does not reduce perceptions of control or adherence to risk-reducing behaviors. The pattern of findings leads to the new hypothesis that genetic testing does not affect the extent to which people feel they have control over a condition, but does affect their perceptions of how control is most effectively achieved. Further work is needed to determine whether similar results will be obtained in populations with little previous awareness of their risks.
                Copyright 2004 Wiley-Liss, Inc. It is well-known that smoking causes many diseases including cancers. Informing smokers of their genotypes associated with the vulnerability to the harms of smoking may be effective measures for smoking cessation. The present study examined the effects of genotype notification of an oncogene (L-myc) genotype to smokers on their behavior to quit smoking.
                Subjects were 562 employees of a bank who answered to be a smoker for a questionnaire used at annual health checkup at workplace from July to December 2002. Those enrolled on August, October, and December were allocated into the genotype notification group (intervention group), and the rest into the controls. Among 286 smokers allocated into the intervention group, 257 participants (89.9%) agreed to genotype testing. One year after the enrollment, a follow-up questionnaire survey was conducted for all smokers including controls.
                Those who stated to have quitted smoking were 22 (8.0%) among the 276 controls and 15 (5.8%) among the 257 genotype notified participants, providing that the odds ratio (OR) of cessation for the intervention was 0.64 (95% confidence interval, 0.32-1.28). No psychological problems associated with genotype notification were observed.
                The present study did not show positive effects of genotype notification on smoking cessation rate. To elevate the cessation rate, methods to explain and notify genotypes should be improved. The behavioural and psychological impact of genetic testing for lung cancer susceptibility was examined among smokers (N = 61) who were randomly allocated to a GSTM1 genetic testing group (with GSTM1-missing or GSTM1-present result) or no-test control group. The GSTM1-missing (higher risk) group reported greater motivation to quit smoking, and both genetic testing groups reported lower depression than the control group at one-week follow-up (p < .05 for all). Differences were not significant at two months follow-up. This study indicates the feasibility of much-needed research into the risks and benefits for individuals of emerging lifestyle-related genetic susceptibility tests. Protection motivation theory and the extended parallel processing model are used to predict the motivational impact of information regarding a genetic susceptibility to heart disease. One hundred ninety-eight smokers read 1 of 3 vignettes: gene positive, gene negative, or standard smoking risk information. Analyses examined whether the impact of type of risk information was moderated by smokers' self-efficacy (SE) levels. Key outcomes were intention to quit and intention to attend an information session about quitting. There were significant main effects of SE and of receiving gene-positive risk information on intentions to quit. There was a significant Risk x SE interaction on intentions to attend an information session. SE was not associated with intentions to attend the information session for smokers in the gene-positive group. Intentions to attend the session were negatively associated with SE for smokers in the lower risk groups. Implications for using genetic risk information to motivate smoking cessation are discussed.
                Copyright 2006 APA, all rights reserved. To evaluate whether feedback of genetic information regarding an L-myc polymorphism, identified as impacting on tobacco-related cancer risk, has an influence on smoking cessation, an intervention study was conducted.
                We recruited smokers from first-visit outpatients at Aichi Cancer Center Hospital. Six hundred and seventeen participated and were allocated into two groups: the biomarker feedback group (BF) and the follow-up smoking status group (FS). The subjects were asked for their smoking status at enrolment and at 3- and 9-month follow-ups. BF subjects were notified about their L-myc genotype.
                The smoking cessation rate at 9-month follow-up was essentially the same for both BF and FS cases, at 18.8% and 17.0%, respectively (P = 0.798). However, a difference in the rate was evident with non-cancer subjects (12.7% and 8.4%, respectively, P = 0.237), especially in females (15.0% and 4.2%, respectively, P = 0.024). The non-cancer subjects informed of their genotype were more likely to quit smoking than the FS patients; particularly in those having a risky genotype, this was significant (odds ratio: 2.87, P = 0.003). Again it was most prominent in females.
                Feedback regarding an L-myc polymorphism did not impact on smoking cessation overall but appeared to benefit smokers without cancer. In addition, gender could affect the response to the feedback. Markers of genetic susceptibility to tobacco-related cancers could personalize harms of smoking and motivate cessation. Our objective was to assess whether a multicomponent intervention that included feedback about genetic susceptibility to lung cancer increased risk perceptions and rates of smoking cessation compared with a standard cessation intervention.
                Our design was a two-arm trial with eligible smokers randomized in a 1:2 ratio to Enhanced Usual Care or Biomarker Feedback (BF). Surveys were conducted at baseline, 6, and 12 months later. The setting was an inner city community health clinic. African-American patients who were current smokers (n = 557) were identified by chart abstraction and provider referral. All smokers received a self-help manual and, if appropriate, nicotine patches. Smokers in the BF arm also were offered a blood test for genotyping the GST(3) gene (GSTM1), sent a test result booklet, and called up to four times by a health educator. Prevalent abstinence was assessed by self-report of having smoked no cigarettes in the prior 7 days at the 6- and 12-month follow-ups and sustained abstinence, i.e., not smoking at either follow-up or in-between.
                Smoking cessation was greater for the BF arm than the Enhanced Usual Care arm (19% versus 10%, respectively; P < 0.006) at 6 months but not at 12 months.
                Smokers agreed to genetic feedback as part of a multicomponent cessation program. Although the program increased short-term cessation rates compared with standard intervention, genetic feedback of susceptibility may not benefit smokers with high baseline risk perceptions. Genetic tests may motivate risk-reducing behaviour more than other types of tests because they generate higher risk magnitudes and because their results have high personal relevance. To date, trial designs have not allowed the disentangling of the effects of these two factors. This analogue study examines the independent impacts of risk magnitude and provenance, and of risk display type, on motivation to quit smoking. A total of 180 smokers were randomly allocated to one of the 18 Crohn's disease risk vignettes in a 3 (risk provenance: family history. genetic test mutation positive. genetic test mutation negative) x 3 (risk magnitude: 3%, 6%, 50%) x 2 (display: grouped or dispersed icons) design. The 50% group had significantly higher intentions to quit than the 3% group. A significant risk provenance x magnitude interaction showed that participants in 50% or 6% groups were equally motivated, regardless of risk provenance, while participants in the 3% group had higher intentions associated with a mutation negative result than with a result based on family history alone. Grouped icon displays were more motivating than the dispersed icons. Using genetic tests to estimate risks of common complex conditions may not motivate behaviour change beyond the impact of the numerical risk estimates derived from such tests.
Mindful of the weak evidence based on a small number of studies of limited quality, the results of this review suggest that communicating DNA-based disease risk estimates has little or no effect on smoking and physical activity. It may have a small effect on self-reported diet and on intentions to change behaviour. Claims that receiving DNA-based test results motivates people to change their behaviour are not supported by evidence. Larger and better-quality RCTs are needed.