@article{60b85a7b5a61425cbdd78af9920f7bd9,
title = "Genomic privacy and limits of individual detection in a pool",
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.",
author = "Sriram Sankararaman and Guillaume Obozinski and Jordan, \{Michael I.\} and Eran Halperin",
note = "Funding Information: E.H. was supported by US National Science Foundation grant IIS-0713254. E.H. is a faculty fellow of the Edmond J. Safra Bioinformatics program at Tel-Aviv University. M.I.J., S.S. and G.O. were supported by NIH/NIGMS R01 grant GM071749. This study makes use of data generated by the Wellcome Trust Case Control Consortium; a full list of the investigators who contributed to the generation of the data is available from http://www.wtccc.org.uk. Funding for the project was provided by the Wellcome Trust under award 076113.",
year = "2009",
month = sep,
doi = "10.1038/ng.436",
language = "אנגלית",
volume = "41",
pages = "965--967",
journal = "Nature Genetics",
issn = "1061-4036",
publisher = "Nature Research",
number = "9",
}