Sankararaman Sriram, Obozinski Guillaume, Jordan Michael I, Halperin Eran
Computer Science Division, University of California, Berkeley, Berkeley, California, USA.
Nat Genet. 2009 Sep;41(9):965-7. doi: 10.1038/ng.436. Epub 2009 Aug 23.
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.
最近的研究表明,基于全基因组关联研究(GWAS)报告的汇总数据,统计方法可用于检测研究组中单个个体的存在情况。我们对这些方法的统计功效进行了分析和实证研究。我们的目的是为那些希望在不损害受试者隐私的前提下公开有限数量单核苷酸多态性(SNP)的研究人员提供定量指导方针。