Genetic classes and genetic categories: Protecting genetic groups through data protection law

Dara Hallinan, Paul de Hert

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

Each person shares genetic code with others. Thus, one individual’s genome can reveal information about other individuals. When multiple individuals share aspects of genetic architecture, they form a ‘genetic group’. From a social and legal perspective, two types of genetic group exist: Those which map to social groups – ‘genetic classes’ – and those which are perceived through interrogation of shared genetic code – ‘genetic categories’. Both of these groups may be seen to have legitimate interests affected when data about them are processed. This contribution considers if these interests can be effectively protected by the Data Protection Regulation. The contribution finds that the Regulation explicitly excludes genetic groups only in a relation to a limited number of provisions. Yet, the contribution also finds that the use of the Regulation to protect genetic groups would raise significant technical and substantial problems. In light of these problems, the contribution suggests a way forward based around guidance and ex ante oversight.
Original languageEnglish
Title of host publicationGroup privacy
Subtitle of host publicationNew challenges of data technologies
EditorsL. Taylor, L. Floridi, B. van der Sloot
PublisherSpringer International
Pages175-196
Number of pages22
ISBN (Print)978-3-319-46606-4
DOIs
Publication statusPublished - 2017

Publication series

NamePhilosophical Studies Series
Volume126

    Fingerprint

Keywords

  • Genetics Genomics
  • privacy Genetic groups

Cite this

Hallinan, D., & de Hert, P. (2017). Genetic classes and genetic categories: Protecting genetic groups through data protection law. In L. Taylor, L. Floridi, & B. van der Sloot (Eds.), Group privacy: New challenges of data technologies (pp. 175-196). (Philosophical Studies Series; Vol. 126). Springer International. https://doi.org/10.1007/978-3-319-46608-8_10