National Academies Press: OpenBook

Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field (2023)

Chapter: Appendix F: Disclosure of Unavoidable Conflict of Interest

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Suggested Citation:"Appendix F: Disclosure of Unavoidable Conflict of Interest." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
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F

Disclosure of Unavoidable Conflict of Interest

The conflict-of-interest policy of the National Academies of Sciences, Engineering, and Medicine (https://www.nationalacademies.org/about/institutional-policies-and-procedures/conflict-of-interest-policies-and-procedures) prohibits the appointment of an individual to a committee like the one that authored this Consensus Study Report if the individual has a conflict of interest that is relevant to the task to be performed. An exception to this prohibition is permitted only if the National Academies determine that the conflict is unavoidable and the conflict is promptly and publicly disclosed.

When the committee that authored this report was established, a determination of whether there was a conflict of interest was made for each committee member given the individual’s circumstances and the task being undertaken by the committee. A determination that an individual has a conflict of interest is not an assessment of that individual’s actual behavior or character or ability to act objectively despite the conflicting interest.

Dr. Rick Kittles was determined to have a conflict of interest because of his financial interests in African Ancestry, Inc., a provider of at-home genetic ancestry tests for people of African descent, which could be one way to identify people for genomic research applications. The National Academies determined that the experience and expertise of the individual was needed for the committee to accomplish the task for which it was established. The National Academies could not find another available individual with the equivalent experience and expertise who did not have a conflict of interest. Therefore, the National Academies concluded that the conflict was unavoidable and publicly disclosed it on its website (www.nationalacademies.org).

Suggested Citation:"Appendix F: Disclosure of Unavoidable Conflict of Interest." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
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Suggested Citation:"Appendix F: Disclosure of Unavoidable Conflict of Interest." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
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Page 217
Suggested Citation:"Appendix F: Disclosure of Unavoidable Conflict of Interest." National Academies of Sciences, Engineering, and Medicine. 2023. Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field. Washington, DC: The National Academies Press. doi: 10.17226/26902.
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Genetic and genomic information has become far more accessible, and research using human genetic data has grown exponentially over the past decade. Genetics and genomics research is now being conducted by a wide range of investigators across disciplines, who often use population descriptors inconsistently and/or inappropriately to capture the complex patterns of continuous human genetic variation.

In response to a request from the National Institutes of Health, the National Academies assembled an interdisciplinary committee of expert volunteers to conduct a study to review and assess existing methodologies, benefits, and challenges in using race, ethnicity, ancestry, and other population descriptors in genomics research. The resulting report focuses on understanding the current use of population descriptors in genomics research, examining best practices for researchers, and identifying processes for adopting best practices within the biomedical and scientific communities.

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