Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/26404
Title: Participant identification in genetic association studies: improved methods and practical implications.
Authors: Masca, N
Burton, PR
Sheehan, NA
First Published: Dec-2011
Citation: INT J EPIDEMIOL, 2011, 40 (6), pp. 1629-1642
Abstract: In a recent paper by Homer et al. (Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genet 2008;4:e1000167), a method for detecting whether a given individual is a contributor to a particular genomic mixture was proposed. This prompted grave concern about the public dissemination of aggregate statistics from genome-wide association studies. It is of clear scientific importance that such data be shared widely, but the confidentiality of study participants must not be compromised. The issue of what summary genomic data can safely be posted on the web is only addressed satisfactorily when the theoretical underpinnings of the proposed method are clarified and its performance evaluated in terms of dependence on underlying assumptions.
DOI Link: 10.1093/ije/dyr149
eISSN: 1464-3685
Links: http://hdl.handle.net/2381/26404
Type: Journal Article
Appears in Collections:Published Articles, Dept. of Health Sciences

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