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Genomic Justice and Imagined Communities

Overview of attention for article published in The Hastings Center Report, July 2017
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Title
Genomic Justice and Imagined Communities
Published in
The Hastings Center Report, July 2017
DOI 10.1002/hast.737
Pubmed ID
Authors

Ernesto Schwartz-Marin

Abstract

In this issue of the Hastings Center Report, Maya Sabatello and Paul Appelbaum explore the assumptions about community embedded in the U.S. Precision Medicine Initiative, which aims to recruit donor-partners who reflect the United States' racial and ethnic diversity. As Sabatello and Appelbaum discuss, the initiative is like other national biobanking efforts in bringing to life an imagined genetic community in need of critical attention, and given the public-private forms of partnership at the heart of the PMI, such efforts could become avenues to deepen existing inequalities rather than to alleviate them. The notion of justice has underwritten debates about genomic medicine, informed consent, citizenship, benefit sharing, and profit making since the first national biobanking project emerged at the dawn of the twenty-first century. In a paradigmatic case, the creation, by an Icelandic company, of the deCODE genomic biobank opened up fierce debates about the proper relationship between public good and private gain and became the first global example of the economic and political implications that imagined genetic communities could have in our shared future. In Mexico, in 2001, the Icelandic case fueled a policy agenda to deal with global health justice and the prospects of a future market-based colonialism predicated on the intimate knowledge of DNA.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Researcher 2 11%
Other 2 11%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 11%
Social Sciences 2 11%
Medicine and Dentistry 2 11%
Economics, Econometrics and Finance 2 11%
Nursing and Health Professions 1 6%
Other 5 28%
Unknown 4 22%