The genetic testing and genetic screening of children are commonplace. Decisions about whether to offer genetic testing and screening should be driven by the best interest of the child. The growing literature on the psychosocial and clinical effects of such testing and screening can help inform best practices. This technical report provides ethical justification and empirical data in support of the proposed policy recommendations regarding such practices in a myriad of settings.

We introduce a nonparametric survival prediction method for right-censored data. The method generates a survival curve prediction by constructing a (weighted) Kaplan-Meier estimator using the outcomes of the K most similar training observations. Each observation has an associated set of covariates, and a metric on the covariate space is used to measure similarity between observations. We apply our method to a kidney transplantation data set to generate patient-specific distributions of graft survival and to a simulated data set in which the proportional hazards assumption is explicitly violated. We compare the performance of our method with the standard Cox model and the random survival forests method.

Objectives: Although no genetic tests for violent behaviour are currently available, research is ongoing to isolate genes related to a propensity for violence. We explored the attitudes of parents and healthcare professionals toward behavioural genetic testing for violence. Design: The attitudes of healthcare professionals and the lay public about genetic testing of children were elicited for a range of conditions through interviews with healthcare professionals and focus groups with parents. All participants were informed that behavioural genetic testing was the only hypothetical genetic test in our script and it was presented as the last condition. Participants: The healthcare professionals included both genetic professionals and paediatricians. Focus group participants were recruited through various community institutions in the southside of Chicago and nearby suburbs.

1547 Background: An important component of cancer risk assessment (CRA) is the evaluation of exposures and preventive health behaviors. Tobacco use (TU) remains a significant contributor to cancer risk and decreasing tobacco use is a major national health objective. Methods: Clinical charts were reviewed to evaluate the incidence of TU and characteristics of tobacco users (TUs) among individuals presenting to the University of Chicago Cancer Risk Clinic for cancer risk assessment (CRA). Results: Among 98 individuals (97% female) presenting for CRA from 12/05–10/06, 51% (50/98) reported no TU, 38% (37/98) reported prior TU and 11% (11/98) reported current TU. Current tobacco users included 10% (7/73) of whites and 18% (4/22) of blacks with no TU among other racial groups (0/3). 45% of TUs (5/11) had a personal history of cancer. 45% of TUs reported compliance with self-breast examination, 73% with cervical cancer screening. Among TUs over 40 years old (YO), 67% (6/9) reported a mammogram in the last year and the 2 TUs over 50 YO reported a screening colonoscopy. All TUs reported interest in tobacco cessation interventions. Conclusions: Tobacco use among individuals presenting for CRA is lower than reported general population rates of TU (23%). Despite this, a proportion of individuals presenting for CRA report current TU, despite engaging in other cancer prevention behaviors. Continued review of clinical encounters from 2004- 06 (n=425) will allow for multi-variate analysis of predictors of current TU, which will inform future research employing cancer risk assessment encounters as “teachable moments” to optimize tobacco cessation outcomes. No significant financial relationships to disclose.