10岁时的基因信息非歧视法案:吉娜有争议的断言,数据透明保护隐私和公民权利。

B. Evans
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引用次数: 7

摘要

基因组检测行业是一座建立在数据透明度之上的大厦:与研究人员透明地(通常是未经同意的)分享我们的基因信息,以推动科学发现;透明地分享我们的测试结果,以帮助监管机构推断测试是否安全有效;透明地分享我们的健康信息,以帮助治疗其他病人,前提是我们获得互惠互利,因为每个人的医疗保健都是由关于我们所有人的最佳可用数据提供的。不可否认,透明度带来了许多社会利益,但也给基因信息被共享者的公民权利带来了风险。《2008年遗传信息非歧视法案》(GINA)在通过时被吹捧为一项重要的民权法,但十年来,人们一直批评它的保护无效、不充分,甚至是不道德的,而且对它所要保护的人明显不安全。这场争论的中心是GINA的条款,它扩大了人们对他人存储的关于他们的遗传信息的访问——这是一个备受争议的断言,即数据透明度意味着不仅与第三方共享数据,而且与被共享数据的人共享数据。本文追溯了这一主张长达数十年的根源,并探讨了解决围绕它的争议的途径。解决这个争议是很重要的。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,以支持歧视性和其他邪恶的用途,而GINA旨在防止这些用途。我们正在进入一个积极的反馈循环,在这个循环中,基因组研究使我们面临不必要的数据披露的风险,同时又助长了使这种披露可能更具破坏性的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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