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Shifting metaphors in direct-to-consumer genetic testing: from genes as information to genes as big data

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journal contribution
posted on 2017-07-24, 08:09 authored by Paula SaukkoPaula Saukko
This article analyses shifts in metaphors in direct-to-consumer genetic testing, analyzing the websites and select media coverage of the nutrigenetic testing company Sciona (2000–2009) and the personal genome service 23andMe (2006–). Sciona represented genes and communication through the classical metaphor of information; genes coded for disease, and this information was transmitted from the expert company to the consumers. 23andMe represented genes and communication through a new metaphor of big data; genes were digital data or a resource that was browsed, correlated with other data, uploaded and retrieved across lay customers, websites and companies. In terms of understanding health 23andMe tests and research still cast genes as coding for disease to be mitigated by lifestyle change and targeted drugs. However, rendering genes digital data or resources changed their social and economic meaning; genes could be circulated, shared and traded, which legitimized 23andMe’s business model of consumer genetics and private biobanking.

History

School

  • Social Sciences

Department

  • Communication, Media, Social and Policy Studies

Published in

New Genetics and Society

Volume

36

Issue

3

Pages

296-313

Citation

SAUKKO, P., 2017. Shifting metaphors in direct-to-consumer genetic testing: from genes as information to genes as big data. New Genetics and Society, 36 (3), pp. 296-313.

Publisher

© Taylor & Francis

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2017-07-04

Publication date

2017-07-27

Copyright date

2017

Notes

This is an Accepted Manuscript of an article published by Taylor & Francis in New Genetics and Society on 27 July 2017, available online: http://www.tandfonline.com/10.1080/14636778.2017.1354691.

ISSN

1469-9915

Language

  • en