遗传信息不歧视法案》10 岁:吉娜关于数据透明度可保护隐私和公民权利的说法颇具争议。

William and Mary law review Pub Date : 2019-01-01
Barbara J Evans
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引用次数: 0

摘要

基因组检测行业是一座建立在数据透明基础上的大厦:与研究人员透明共享我们的基因信息,以促进科学发现;透明共享我们的检测结果,以帮助监管机构推断检测是否安全有效;透明共享我们的健康信息,以帮助治疗其他患者,前提是当每个人的医疗保健都参考了关于我们所有人的最佳可用数据时,我们将获得互惠优势。不可否认,透明化带来了许多社会效益,但也给基因信息被共享者的公民权利带来了风险。2008 年的《遗传信息非歧视法》(GINA)在通过时被吹捧为一部重要的民权法,但十年来却饱受批评,认为其保护措施无效、不充分,甚至不道德,对其旨在保护的人群来说明显不安全。争议的焦点是 GINA 中的一些条款,这些条款扩大了人们获取他人存储的遗传信息的权限--这种说法引起了很大争议,即数据透明意味着不仅要与第三方共享数据,还要与数据被共享的人共享数据。本文追溯了这一论断数十年来的根源,并探讨了解决这一论断所引发的争议的途径。解决这一争议非常重要。随着 GINA 进入第二个十年,基因组学终于开始获得足够的预测能力来支持 GINA 旨在防止的歧视和其他邪恶用途。我们正在进入一个正反馈循环,在这个循环中,使我们面临不必要的数据披露风险的基因组研究,同时也促进了使这种披露可能更具破坏性的发现。
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THE GENETIC INFORMATION NONDISCRIMINATION ACT AT AGE 10: GINA'S CONTROVERSIAL ASSERTION THAT DATA TRANSPARENCY PROTECTS PRIVACY AND CIVIL RIGHTS.

The genomic testing industry is an edifice built on data transparency: transparent and often unconsented sharing of our genetic information with researchers to fuel scientific discovery, transparent sharing of our test results to help regulators infer whether the tests are safe and effective, and transparent sharing of our health information to help treat other patients on the premise that we gain reciprocity of advantage when each person's health care is informed by the best available data about all of us. Transparency undeniably confers many social benefits but creates risks to the civil rights of the people whose genetic information is shared. Touted as a major civil rights law at the time of its passage, the Genetic Information Nondiscrimination Act of 2008 (GINA) has endured ten years of criticism that its protections are ineffectual, insufficient, or even unethical and overtly unsafe for the people it aims to protect. At the center of this controversy are provisions of GINA that expand people's access to genetic information that others store about them-a heavily contested assertion that data transparency implies sharing data not just with third parties, but with the people whose data are being shared. This Article traces the decades-long roots of this assertion and explores pathways to resolve the controversy that engulfs it. It is important to resolve this controversy. As GINA enters its second decade, genomics is finally starting to gain sufficient predictive power to support discriminatory and other nefarious uses that GINA was designed to prevent. We are entering a positive feedback loop in which the genomic research that exposes us to risk of unwanted data disclosures simultaneously fuels discoveries that make such disclosures potentially more damaging.

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