Re-identification of individuals in genomic datasets using public face images-Reference-Cited by-同舟云学术

Re-identification of individuals in genomic datasets using public face images

Published:2021-11-19 Issue:47 Volume:7 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Venkatesaramani Rajagopal¹^ORCID,Malin Bradley A.²³⁴^ORCID,Vorobeychik Yevgeniy¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Washington University in St. Louis, 1 Brookings Dr., St. Louis, MO 63108, USA.

2. Department of Biomedical Informatics, Vanderbilt University Medical Center, Suite 1475, 2525 West End Avenue, Nashville, TN 37203, USA.

3. Department of Biostatistics, Vanderbilt University Medical Center, Suite 1475, 2525 West End Avenue, Nashville, TN 37203, USA.

4. Department of Electrical Engineering and Computer Science, Vanderbilt University, 2201 West End Ave, Nashville, TN 37235, USA.

Abstract

Face re-identification from genomic data is harder than you think!

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference49 articles.

1. openSNP–A Crowdsourced Web Resource for Personal Genomics

2. Harvard Personal Genome Project: lessons from participatory public research

3. Identification of individuals by trait prediction using whole-genome sequencing data

4. Genetics of the human face: Identification of large-effect single gene variants

5. Detecting genome-wide variants of eurasian facial shape differentiation: DNA based face prediction tested in forensic scenario;Qiao L.;bioRxiv,2016

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