Literature DB >> 19701190

Genomic privacy and limits of individual detection in a pool.

Sriram Sankararaman1, Guillaume Obozinski, Michael I Jordan, Eran Halperin.   

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.

Mesh:

Year:  2009        PMID: 19701190     DOI: 10.1038/ng.436

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  5 in total

1.  Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease.

Authors:  Jeffrey C Barrett; Sarah Hansoul; Dan L Nicolae; Judy H Cho; Richard H Duerr; John D Rioux; Steven R Brant; Mark S Silverberg; Kent D Taylor; M Michael Barmada; Alain Bitton; Themistocles Dassopoulos; Lisa Wu Datta; Todd Green; Anne M Griffiths; Emily O Kistner; Michael T Murtha; Miguel D Regueiro; Jerome I Rotter; L Philip Schumm; A Hillary Steinhart; Stephan R Targan; Ramnik J Xavier; Cécile Libioulle; Cynthia Sandor; Mark Lathrop; Jacques Belaiche; Olivier Dewit; Ivo Gut; Simon Heath; Debby Laukens; Myriam Mni; Paul Rutgeerts; André Van Gossum; Diana Zelenika; Denis Franchimont; Jean-Pierre Hugot; Martine de Vos; Severine Vermeire; Edouard Louis; Lon R Cardon; Carl A Anderson; Hazel Drummond; Elaine Nimmo; Tariq Ahmad; Natalie J Prescott; Clive M Onnie; Sheila A Fisher; Jonathan Marchini; Jilur Ghori; Suzannah Bumpstead; Rhian Gwilliam; Mark Tremelling; Panos Deloukas; John Mansfield; Derek Jewell; Jack Satsangi; Christopher G Mathew; Miles Parkes; Michel Georges; Mark J Daly
Journal:  Nat Genet       Date:  2008-06-29       Impact factor: 38.330

2.  Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Laura J Scott; Richa Saxena; Benjamin F Voight; Jonathan L Marchini; Tianle Hu; Paul I W de Bakker; Gonçalo R Abecasis; Peter Almgren; Gitte Andersen; Kristin Ardlie; Kristina Bengtsson Boström; Richard N Bergman; Lori L Bonnycastle; Knut Borch-Johnsen; Noël P Burtt; Hong Chen; Peter S Chines; Mark J Daly; Parimal Deodhar; Chia-Jen Ding; Alex S F Doney; William L Duren; Katherine S Elliott; Michael R Erdos; Timothy M Frayling; Rachel M Freathy; Lauren Gianniny; Harald Grallert; Niels Grarup; Christopher J Groves; Candace Guiducci; Torben Hansen; Christian Herder; Graham A Hitman; Thomas E Hughes; Bo Isomaa; Anne U Jackson; Torben Jørgensen; Augustine Kong; Kari Kubalanza; Finny G Kuruvilla; Johanna Kuusisto; Claudia Langenberg; Hana Lango; Torsten Lauritzen; Yun Li; Cecilia M Lindgren; Valeriya Lyssenko; Amanda F Marvelle; Christa Meisinger; Kristian Midthjell; Karen L Mohlke; Mario A Morken; Andrew D Morris; Narisu Narisu; Peter Nilsson; Katharine R Owen; Colin N A Palmer; Felicity Payne; John R B Perry; Elin Pettersen; Carl Platou; Inga Prokopenko; Lu Qi; Li Qin; Nigel W Rayner; Matthew Rees; Jeffrey J Roix; Anelli Sandbaek; Beverley Shields; Marketa Sjögren; Valgerdur Steinthorsdottir; Heather M Stringham; Amy J Swift; Gudmar Thorleifsson; Unnur Thorsteinsdottir; Nicholas J Timpson; Tiinamaija Tuomi; Jaakko Tuomilehto; Mark Walker; Richard M Watanabe; Michael N Weedon; Cristen J Willer; Thomas Illig; Kristian Hveem; Frank B Hu; Markku Laakso; Kari Stefansson; Oluf Pedersen; Nicholas J Wareham; Inês Barroso; Andrew T Hattersley; Francis S Collins; Leif Groop; Mark I McCarthy; Michael Boehnke; David Altshuler
Journal:  Nat Genet       Date:  2008-03-30       Impact factor: 38.330

3.  Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci.

Authors:  Jason D Cooper; Deborah J Smyth; Adam M Smiles; Vincent Plagnol; Neil M Walker; James E Allen; Kate Downes; Jeffrey C Barrett; Barry C Healy; Josyf C Mychaleckyj; James H Warram; John A Todd
Journal:  Nat Genet       Date:  2008-11-02       Impact factor: 38.330

4.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

5.  Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays.

Authors:  Nils Homer; Szabolcs Szelinger; Margot Redman; David Duggan; Waibhav Tembe; Jill Muehling; John V Pearson; Dietrich A Stephan; Stanley F Nelson; David W Craig
Journal:  PLoS Genet       Date:  2008-08-29       Impact factor: 5.917

  5 in total
  58 in total

1.  Capture and release.

Authors: 
Journal:  Nat Genet       Date:  2011-09-28       Impact factor: 38.330

2.  Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule.

Authors:  Bradley Malin; Kathleen Benitez; Daniel Masys
Journal:  J Am Med Inform Assoc       Date:  2011 Jan-Feb       Impact factor: 4.497

Review 3.  Informed consent in genomics and genetic research.

Authors:  Amy L McGuire; Laura M Beskow
Journal:  Annu Rev Genomics Hum Genet       Date:  2010       Impact factor: 8.929

Review 4.  Privacy challenges and research opportunities for genomic data sharing.

Authors:  Luca Bonomi; Yingxiang Huang; Lucila Ohno-Machado
Journal:  Nat Genet       Date:  2020-06-29       Impact factor: 38.330

5.  Not so lost in the genetic crowd.

Authors:  Nicholas J Schork; Vikas Bansal
Journal:  Nat Genet       Date:  2009-11       Impact factor: 38.330

6.  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

7.  MetaSeq: privacy preserving meta-analysis of sequencing-based association studies.

Authors:  Angad Pal Singh; Samreen Zafer; Itsik Pe'er
Journal:  Pac Symp Biocomput       Date:  2013

Review 8.  Routes for breaching and protecting genetic privacy.

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

9.  Technical and policy approaches to balancing patient privacy and data sharing in clinical and translational research.

Authors:  Bradley Malin; David Karp; Richard H Scheuermann
Journal:  J Investig Med       Date:  2010-01       Impact factor: 2.895

10.  DataSHIELD: resolving a conflict in contemporary bioscience--performing a pooled analysis of individual-level data without sharing the data.

Authors:  Michael Wolfson; Susan E Wallace; Nicholas Masca; Geoff Rowe; Nuala A Sheehan; Vincent Ferretti; Philippe LaFlamme; Martin D Tobin; John Macleod; Julian Little; Isabel Fortier; Bartha M Knoppers; Paul R Burton
Journal:  Int J Epidemiol       Date:  2010-07-14       Impact factor: 7.196

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