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Genet Med. Author manuscript; available in PMC 2008 July 24.
Published in final edited form as:
doi: 10.1097/GIM.0b013e318164e4cf.
PMCID: PMC2483343
NIHMSID: NIHMS57716
Incorporating ethnicity into genetic risk assessment for Alzheimer disease: the REVEAL study experience
Kurt D. Christensen, MPH,1 J. Scott Roberts, PhD,1 Charmaine D. M. Royal, PhD,2 Grace-Ann Fasaye, ScM, CGC,3 Thomas Obisesan, MD,4 L. Adrienne Cupples, PhD,5,6 Peter J. Whitehouse, MD, PhD,7 Melissa Barber Butson, ScM, CGC,7 Erin Linnenbringer, MS, CGC,1 Norman R. Relkin, MD, PhD,8 Lindsay Farrer, PhD,5,6,9,10 Robert Cook-Deegan, MD,2 and Robert C. Green, MD, MPH6,9
1 Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan
2 Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina
3 National Human Genome Center, Howard University, Washington, DC
4 Department of Medicine, Howard University, Washington, DC
5 Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
6 Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
7 Memory and Aging Center, Case Western Reserve University/University Hospitals of Cleveland Memory and Aging, Cleveland, Ohio
8 Department of Neurology, Weill Medical College of Cornell University, New York, New York
9 Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
10 Department of Medicine (Genetics Program), Boston University School of Medicine, Boston, Massachusetts
11 Department of Genetics and Genomics, Boston University School of Medicine, Boston, Massachusetts
Kurt Christensen, MPH, University of Michigan, 300 North Ingalls 5D-04, Ann Arbor, MI 48109−0471. E-mail: kdchrist/at/umich.edu.
Abstract
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 ethnicity-specific 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 Americans.
Conclusion
The Risk Evaluation and Education for Alzheimer Disease study provides an instructive example of a process to develop risk assessment protocols that are sensitive to the implications of genetic testing for multiple ethnic groups with differing levels of risk.
Keywords: Alzheimer, ethnicity, genetics, risk, APOE