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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
Genomic privacy and limits of individual detection in a pool
Sriram Sankararaman1, Guillaume Obozinski, Michael I Jordan
1Computer Science Division, University of California, Berkeley, Berkeley, California, USA.
Abstract:
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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