Mining the human genome after Association for Molecular Pathology v. Myriad Genetics
The Supreme Court’s recent decision in Association for Molecular Pathology v. Myriad Genetics portrays the human genome as a product of nature. This frames medical genetics as an extractive industry that mines a natural resource to produce valuable goods and services. Natural resource law offers ins...
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Published in: | Genetics in medicine Vol. 16; no. 7; pp. 504 - 509 |
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Main Author: | |
Format: | Journal Article |
Language: | English |
Published: |
New York
Nature Publishing Group US
01-07-2014
Elsevier Limited Nature Publishing Group |
Subjects: | |
Online Access: | Get full text |
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Summary: | The Supreme Court’s recent decision in
Association for Molecular Pathology v. Myriad Genetics
portrays the human genome as a product of nature. This frames medical genetics as an extractive industry that mines a natural resource to produce valuable goods and services. Natural resource law offers insights into problems medical geneticists can expect after this decision and suggests possible solutions. Increased competition among clinical laboratories offers various benefits but threatens to increase fragmentation of genetic data resources, potentially causing waste in the form of lost opportunities to discover the clinical significance of particular gene variants. The solution lies in addressing legal barriers to appropriate data sharing. Sustainable discovery in the field of medical genetics can best be achieved through voluntary data sharing rather than command-and-control tactics, but voluntary mechanisms must be conceived broadly to include market-based approaches as well as donative and publicly funded data commons. The recently revised Health Insurance Portability and Accountability Act Privacy Rule offers an improved—but still imperfect—framework for market-oriented data sharing. This article explores strategies for addressing the Privacy Rule’s remaining defects. America is close to having a legal framework that can reward innovators, protect privacy, and promote needed data sharing to advance medical genetics.
Genet Med
16
7, 504–509. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1098-3600 1530-0366 |
DOI: | 10.1038/gim.2013.186 |