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

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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.

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  1. Computer Science Division, University of California, Berkeley, Berkeley, California, USA.
  2. Department of Statistics, University of California, Berkeley, Berkeley, California, USA.
  3. International Computer Science Institute, Berkeley, California, USA.
  4. School of Computer Science and the Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel.
  5. These authors contributed equally to this work.

Correspondence to: Eran Halperin3,4 e-mail: heran@icsi.berkeley.edu



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