4.6 Article

Mining the human genome after Association for Molecular Pathology v. Myriad Genetics

期刊

GENETICS IN MEDICINE
卷 16, 期 7, 页码 504-509

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/gim.2013.186

关键词

Association for Molecular PathOlogy v. Myriad; Genetics; CLIA; data aharing; genetic -databaSes; gene patents; HIPAA; innovation policy

资金

  1. Greenwall Foundation
  2. University of Houston Law Foundation
  3. National Institutes of Health [U01HG006507, U01HG007307]

向作者/读者索取更多资源

The Supreme Courts recent decision in Association for Moiecu, lar Pathology v. Myriad Genetics portrays the- human genome as a product of nature. This frames medical genetics aS an eXtrac. tive 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,clini..cal 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. They recently revised Health Insurance Portabil:ity 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, proteet,privacy, and-promote needed data sharing to advance medical genetics.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据