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Identifiability, Genomics and UK Data Protection Law

In: European Journal of Health Law
Authors:
Liam Curren Centre for Health, Law and Emerging Technologies at Oxford (HeLEX), Department of Public Health and Primary Care, University of Oxford Old Road Campus, Oxford OX3 7LF UK

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Jane Kaye Centre for Health, Law and Emerging Technologies at Oxford (HeLEX), Department of Public Health and Primary Care, University of Oxford Old Road Campus, Oxford OX3 7LF UK

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Paula Boddington The Ethox Centre, Department of Public Health and Primary Care, University of Oxford Old Road Campus, Oxford OX3 7LF UK

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Karen Melham Centre for Health, Law and Emerging Technologies at Oxford (HeLEX), Department of Public Health and Primary Care, University of Oxford Old Road Campus, Oxford OX3 7LF UK

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Naomi Hawkins Centre for Health, Law and Emerging Technologies at Oxford (HeLEX), Department of Public Health and Primary Care, University of Oxford Old Road Campus, Oxford OX3 7LF UK

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Heather Gowans Centre for Health, Law and Emerging Technologies at Oxford (HeLEX), Department of Public Health and Primary Care, University of Oxford Old Road Campus, Oxford OX3 7LF UK

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Nadja Kanellopoulou Centre for Health, Law and Emerging Technologies at Oxford (HeLEX), Department of Public Health and Primary Care, University of Oxford Old Road Campus, Oxford OX3 7LF UK

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Abstract

Analyses of individuals’ genomes — their entire DNA sequence — have increased knowledge about the links between genetics and disease. Anticipated advances in ‘next generation’ DNA-sequencing techniques will see the routine research use of whole genomes, rather than distinct parts, within the next few years. The scientific benefits of genomic research are, however, accompanied by legal and ethical concerns. Despite the assumption that genetic research data can and will be rendered anonymous, participants’ identities can sometimes be elucidated, which could cause data protection legislation to apply. We undertake a timely reappraisal of these laws — particularly new penalties — and identifiability in genomic research.

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