On inferring presence of an individual in a mixture: a Bayesian approach

被引：21

作者：

Clayton, David ^{[1
,2
]}

机构：

[1] Univ Cambridge, Wellcome Trust Juvenile Diabet Res Fdn, Addenbrookes Hosp, Diabet & Inflammat Lab, Cambridge CB2 0XY, England

[2] Univ Cambridge, Dept Med Genet, Addenbrookes Hosp, Cambridge Inst Med Res, Cambridge CB2 0XY, England

来源：

BIOSTATISTICS | 2010年 / 11卷 / 04期

基金：

英国惠康基金;

关键词：

Bayesian analysis; Data confidentiality; Statistical genetics; GENOME-WIDE ASSOCIATION; SELECTION; LASSO;

D O I：

10.1093/biostatistics/kxq035

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Homer and others (2008. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genetics 4, e1000167) recently showed that, given allele frequency data for a large number of single nucleotide polymorphisms in a sample together with corresponding population "reference" frequencies, by typing an individual's DNA sample at the same set of loci it can be inferred whether or not the individual was a member of the sample. This observation has been responsible for precautionary removal of large amounts of summary data from public access. This and further work on the problem has followed a frequentist approach. This paper sets out a Bayesian analysis of this problem which clarifies the role of the reference frequencies and allows incorporation of prior probabilities of the individual's membership in the sample.

引用

页码：661 / 673

页数：13

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