The complexities of social identity and genetic ancestry have led to confusion and consternation related to the use and interpretation of race, ethnicity, and ancestry data in biomedical research. These discussions and overt debates have intensified with advances in genomics and knowledge about how social factors interact with biology. As more information about genomic diversity becomes available, the limitations of assigning social, political, and geographic labels to individuals become clearer; these limitations have led to growing challenges for researchers to communicate information about human genomic variation.
Identify all potential conflicts of interest that might be relevant to your comment.
Conflicts of interest comprise financial interests, activities, and relationships within the past 3 years including but not limited to employment, affiliation, grants or funding, consultancies, honoraria or payment, speaker's bureaus, stock ownership or options, expert testimony, royalties, donation of medical equipment, or patents planned, pending, or issued.
Err on the side of full disclosure.
If you have no conflicts of interest, check "No potential conflicts of interest" in the box below. The information will be posted with your response.
Not all submitted comments are published. Please see our commenting policy for details.
Bonham VL, Green ED, Pérez-Stable EJ. Examining How Race, Ethnicity, and Ancestry Data Are Used in Biomedical Research. JAMA. 2018;320(15):1533–1534. doi:10.1001/jama.2018.13609
Browse and subscribe to JAMA Network podcasts!
Customize your JAMA Network experience by selecting one or more topics from the list below.
Create a personal account or sign in to: