Identity inference of genomic data using long-range familial searches

Author:

Erlich Yaniv1234ORCID,Shor Tal1ORCID,Pe’er Itsik23ORCID,Carmi Shai5ORCID

Affiliation:

1. MyHeritage, Or Yehuda 6037606, Israel.

2. Department of Computer Science, Fu Foundation School of Engineering, Columbia University, New York, NY, USA.

3. Center for Computational Biology and Bioinformatics (C2B2), Department of Systems Biology, Columbia University, New York, NY, USA.

4. New York Genome Center, New York, NY, USA.

5. Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.

Abstract

Detecting familial matches Recent advances in DNA technology and companies that provide array-based testing have led to services that collect, share, and analyze volunteered genomic information. Privacy concerns have been raised, especially in light of the use of these services by law enforcement to identify suspects in criminal cases. Testing models of relatedness, Erlich et al. show that many individuals of European ancestry in the United States—even those that have not undergone genetic testing—can be identified on the basis of available genetic information. These results indicate a need for procedures to help maintain genetic privacy for individuals. Science , this issue p. 690

Funder

Burroughs Wellcome Fund

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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