Literature DB >> 20159874

Potential for revealing individual-level information in genome-wide association studies.

Thomas Lumley1, Kenneth Rice.   

Abstract

Mesh:

Year:  2010        PMID: 20159874     DOI: 10.1001/jama.2010.120

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


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  19 in total

Review 1.  The tension between data sharing and the protection of privacy in genomics research.

Authors:  Jane Kaye
Journal:  Annu Rev Genomics Hum Genet       Date:  2012-03-09       Impact factor: 8.929

2.  Rapid evaluation of phenotypes, SNPs and results through the dbGaP CHARGE Summary Results site.

Authors:  Stephen S Rich; Zeng Y Wang; Anne Sturcke; Lora Ziyabari; Mike Feolo; Christopher J O'Donnell; Ken Rice; Joshua C Bis; Bruce M Psaty
Journal:  Nat Genet       Date:  2016-06-28       Impact factor: 38.330

3.  PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies.

Authors:  Jie Huang; Andrew D Johnson; Christopher J O'Donnell
Journal:  Bioinformatics       Date:  2011-03-12       Impact factor: 6.937

4.  Public perspectives regarding data-sharing practices in genomics research.

Authors:  S B Haga; J O'Daniel
Journal:  Public Health Genomics       Date:  2011-03-24       Impact factor: 2.000

5.  Scalable privacy-preserving data sharing methodology for genome-wide association studies.

Authors:  Fei Yu; Stephen E Fienberg; Aleksandra B Slavković; Caroline Uhler
Journal:  J Biomed Inform       Date:  2014-02-06       Impact factor: 6.317

6.  One Size Doesn't Fit All: Measuring Individual Privacy in Aggregate Genomic Data.

Authors:  Sean Simmons; Bonnie Berger
Journal:  Proc IEEE Symp Secur Priv Workshops       Date:  2015-07-20

7.  Participant identification in genetic association studies: improved methods and practical implications.

Authors:  Nicholas Masca; Paul R Burton; Nuala A Sheehan
Journal:  Int J Epidemiol       Date:  2011-12       Impact factor: 7.196

8.  On sharing quantitative trait GWAS results in an era of multiple-omics data and the limits of genomic privacy.

Authors:  Hae Kyung Im; Eric R Gamazon; Dan L Nicolae; Nancy J Cox
Journal:  Am J Hum Genet       Date:  2012-03-28       Impact factor: 11.025

Review 9.  Routes for breaching and protecting genetic privacy.

Authors:  Yaniv Erlich; Arvind Narayanan
Journal:  Nat Rev Genet       Date:  2014-05-08       Impact factor: 53.242

10.  Enabling Privacy-Preserving GWASs in Heterogeneous Human Populations.

Authors:  Sean Simmons; Cenk Sahinalp; Bonnie Berger
Journal:  Cell Syst       Date:  2016-07-21       Impact factor: 10.304

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