Purpose: To describe how investigators in a multisite randomized clinical trial addressed scientific and ethical issues involved in creating risk models based on genetic testing for African American participants. Methods: The following informed our decision whether to stratify risk assessment by ethnicity: evaluation of epidemiological data, appraisal of benefits and risks of incorporating ethnicity into calculations, and feasibility of creating ethnicityspecific risk curves. Once the decision was made, risk curves were created based on data from a large, diverse study of first-degree relatives of patients with Alzheimer disease. Results: Review of epidemiological data suggested notable differences in risk between African Americans and whites and that Apolipoprotein E genotype predicts risk in both groups. Discussions about the benefits and risks of stratified risk assessments reached consensus that estimates based on data from whites should not preclude enrolling African Americans, but population-specific risk curves should be created if feasible. Risk models specific to ethnicity, gender, and Apolipoprotein E genotype were subsequently developed for the randomized clinical trial that oversampled African Researchers are identifying a growing number of genetic markers that are associated with increased or decreased risk for common, complex diseases. Consequently, the development of genetic risk assessment and risk communication strategies are areas of critical importance, especially given that laypersons often have a difficult time in understanding probabilistic information. 1,2 Protocols for disclosing genetic information have been developed and refined for various forms of cancer, 3-6 but similar efforts have been made only recently for other diseases. 7,8 One area of recent focus is Alzheimer disease (AD).AD is the most common form of dementia among the elderly, affecting an estimated five million individuals in the United States. Well over 10 million Americans are expected to have the condition by 2050 as the population continues to age. 9 Many risk factors are well-characterized, including age and family history, 10 -14 whereas many others are under investigation, including education level, 15,16 head trauma, 17,18 high blood pressure, 19 caloric intake, and high cholesterol. 20,21 Regarding genetic factors, rare mutations on genes coding for amyloid precursor protein, presenilin 1, and presenilin 2 have been identified that are deterministic for early-onset AD. 22 Apolipoprotein E (APOE), in contrast, affects susceptibility to AD and has three major forms. APOE ⑀3, the most common allele, is found in over half the US population. The ⑀4 allele is associated with increased risk for AD whereas the ⑀2 allele has a protective effect. 23,24 The ⑀4 allele is neither necessary nor sufficient for AD though, and individuals with the ⑀2 allele still have risk for AD. APOE variants are also associated with other conditions such as hyperlipoproteinemia and atherosclerosis 25 and may play a role in the development of ma...