Brief Communication abstract
Nature Genetics 41, 965 - 967 (2009)
Published online: 23 August 2009 | doi:10.1038/ng.436
Genomic privacy and limits of individual detection in a pool
Sriram Sankararaman1,5, Guillaume Obozinski2,5, Michael I Jordan1,2 & Eran Halperin3,4
Recent studies have demonstrated that statistical methods can be used to detect the presence of a single individual within a study group based on summary data reported from genome-wide association studies (GWAS). We present an analytical and empirical study of the statistical power of such methods. We thereby aim to provide quantitative guidelines for researchers wishing to make a limited number of SNPs available publicly without compromising subjects' privacy.
- Computer Science Division, University of California, Berkeley, Berkeley, California, USA.
- Department of Statistics, University of California, Berkeley, Berkeley, California, USA.
- International Computer Science Institute, Berkeley, California, USA.
- School of Computer Science and the Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel.
- These authors contributed equally to this work.
Correspondence to: Eran Halperin3,4 e-mail: heran@icsi.berkeley.edu
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