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Beyond Individual Privacy: A Layered Diagnostic Model for Analyzing Genetic Data Governance

Published online by Cambridge University Press:  10 April 2026

Ruoxin Su*
Affiliation:
Faculty of Law and Criminology, Vrije Universiteit Brussel , Brussels, Belgium
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Abstract

Human genetic data are simultaneously deeply personal, familial, and strategically valuable, raising regulatory challenges that individual-centered privacy frameworks only partially address. This is highlighted by the recent high-profile bankruptcy filing by 23andMe, which triggered widespread public concerns extending beyond consumer privacy interests to potential national security risks. To address this, this paper proposes a three-layer diagnostic model for more comprehensive analysis of genetic data governance: (1) individual privacy as sensitive personal data; (2) relational and group (privacy) interests reflecting genetic data’s shared nature; and (3) the state or strategic layer treating genetic information as a national asset relevant to public health and security. Drawing on comparative examination of select jurisdictions and critical review of scholarship, this integrated framework offers researchers, policymakers, and private actors a practicable pathway to navigate the complex governance challenges posed by genetic data.

Information

Type
Independent Articles
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of American Society of Law, Medicine & Ethics
Figure 0

Figure 1. A layered diagnostic model for genetic data governance.