Thought Leader Comparisons of Risks in Precision Medicine Research.
Ontology highlight
ABSTRACT: Biomedical research is increasingly capitalizing on an array of data to illuminate the interplay between "omics," lifestyle, and health. Leveraging this information presents opportunities to advance knowledge but also poses risks to research participants. In interviews with thought leaders, we asked which data type associated with a hypothetical precision medicine research endeavor was riskiest: 42% chose ongoing access to electronic health records, 17% chose genomic analyses of biospecimens, and 15% chose streaming data from mobile devices. Other responses included "It depends" (15%), the three types are equally risky (8%), and the combination of data types together is riskiest (3%). When asked to consider the hypothetical study overall, 60% rated the likelihood of the risks materializing
SUBMITTER: Beskow LM
PROVIDER: S-EPMC7702072 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA