DocumentCode :
734221
Title :
Security Implications of Direct-to-Consumer Genetic Sevices
Author :
Jingquan Li
Author_Institution :
Sch. of Bus., Texas A&M Univ. - San Antonio, San Antonio, TX, USA
fYear :
2015
fDate :
March 30 2015-April 2 2015
Firstpage :
147
Lastpage :
153
Abstract :
Direct-to-consumer (DTC) genetic services refer to genetic tests sold directly to consumers via the Internet, television, and other marketing venues without involving healthcare providers such as physicians, genetic counselors, and other healthcare professionals. Companies such as 23andMe and Navigenics offer genetic tests using genome-wide technology direct to consumers over the Internet. Genetic data collected by DTC companies provide an opportunity for future personalized medicine programs that will significantly improve patient outcomes and preventive care. While this may be a promising development, DTC genetic testing raises important security and privacy concerns. This paper aims to identify the most important security threats to consumers of DTC genetic testing services, and explain how to use security technologies and policies to mitigate the threats. In this paper, we first analyze a leading DTC company that demonstrates how security concerns might be intrinsic to contemporary DTC genetic testing services. We then present a threat model and identify the most important security threats to consumers of DTC genetic testing services. Furthermore, we outline security and privacy implications of using DTC genetic services and how DTC companies should elaborate upon them to protect genetic privacy.
Keywords :
Internet; data privacy; genetics; health care; security of data; television; DTC genetic testing services; Internet; direct-to-consumer genetic sevices; health care providers; marketing venues; privacy concerns; security implications; television; Bioinformatics; Companies; Genomics; Privacy; Security; Testing; cryptography; direct-to-consumer genetic testing; genetic data; privacy; secondary use; security; security technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference on
Conference_Location :
Redwood City, CA
Type :
conf
DOI :
10.1109/BigDataService.2015.26
Filename :
7184875
Link To Document :
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