Journal
PUBLIC HEALTH GENOMICS
Volume 14, Issue 2, Pages 85-93Publisher
KARGER
DOI: 10.1159/000294277
Keywords
Multiplex genetic susceptibility test; Race; Gender; Education
Funding
- National Human Genome Research Institute
- National Cancer Institute [U19 CA 079689]
- National Institutes of Health to The Johns Hopkins University [HHSN268200782096C]
- NATIONAL CANCER INSTITUTE [U19CA079689] Funding Source: NIH RePORTER
- NATIONAL HUMAN GENOME RESEARCH INSTITUTE [ZIAHG200344, ZIAHG000167] Funding Source: NIH RePORTER
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Background: Advances in technology have made individual access to personal genetic information foreseeable in the near future. Policy makers and the media forecast that the ready availability of personal genetic profiles would benefit both the individual and the health care system by improving outcomes and decreasing cost. However, there is a significant gap between having access to genetic data and either wanting or understanding the information it provides. Objective: Our primary aim was to evaluate, using a population-based sample of healthy adults, whether gender, race and education status influences interest and participation in a multiplex genetic susceptibility test. Methods: Healthy, insured individuals, 25-40 years of age, were approached via a large, integrated health system in which primary and specialty care is available. Study participants were offered personalized genetic risk information on 8 common chronic health conditions. Social groups historic:ally known not to participate in genetic research (men, African Americans and those from lower education neighborhoods) were oversampled. We describe the recruitment outcomes and testing decisions of these social groups. Results: We found that even among those with access to health care, African Americans were less likely to participate in the multiplex genetic susceptibility test, while those from higher education neighborhoods were more likely to participate. Conclusions: Our results suggest that large social groups will likely be underrepresented in research in personalized genomics even when robust population-based recruitment strategies are employed. Copyright (C) 2010 S. Karger AG, Basel
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