Literature DB >> 32478127

Big Data Privacy in Biomedical Research.

Shuang Wang1, Luca Bonomi1, Wenrui Dai1, Feng Chen1, Cynthia Cheung2, Cinnamon S Bloss2, Samuel Cheng3, Xiaoqian Jiang1.   

Abstract

Biomedical research often involves studying patient data that contain personal information. Inappropriate use of these data might lead to leakage of sensitive information, which can put patient privacy at risk. The problem of preserving patient privacy has received increasing attentions in the era of big data. Many privacy methods have been developed to protect against various attack models. This paper reviews relevant topics in the context of biomedical research. We discuss privacy preserving technologies related to (1) record linkage, (2) synthetic data generation, and (3) genomic data privacy. We also discuss the ethical implications of big data privacy in biomedicine and present challenges in future research directions for improving data privacy in biomedical research.

Entities:  

Keywords:  Biomedical research; bioethics; data privacy; data security; genome analysis

Year:  2016        PMID: 32478127      PMCID: PMC7258042          DOI: 10.1109/TBDATA.2016.2608848

Source DB:  PubMed          Journal:  IEEE Trans Big Data        ISSN: 2332-7790


  51 in total

1.  Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions.

Authors:  Haoran Li; Li Xiong; Xiaoqian Jiang
Journal:  Adv Database Technol       Date:  2014

2.  Consent forms in genomics: the difference between law and practice.

Authors:  Paula Boddington; Liam Curren; Jane Kaye; Nadja Kanellopoulou; Karen Melham; Heather Gowans; Naomi Hawkins
Journal:  Eur J Health Law       Date:  2011-12

Review 3.  Routes for breaching and protecting genetic privacy.

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

4.  Privacy-Preserving Data Sharing for Genome-Wide Association Studies.

Authors:  Caroline Uhlerop; Aleksandra Slavković; Stephen E Fienberg
Journal:  J Priv Confid       Date:  2013

5.  On Differentially Private Frequent Itemset Mining.

Authors:  Chen Zeng; Jeffrey F Naughton; Jin-Yi Cai
Journal:  VLDB J       Date:  2012-11-01       Impact factor: 2.868

6.  Parents' and children's attitudes toward the enrollment of minors in genetic susceptibility research: implications for informed consent.

Authors:  Barbara A Bernhardt; Ellen S Tambor; Gertrude Fraser; Lawrence S Wissow; Gail Geller
Journal:  Am J Med Genet A       Date:  2003-02-01       Impact factor: 2.802

7.  Research ethics recommendations for whole-genome research: consensus statement.

Authors:  Timothy Caulfield; Amy L McGuire; Mildred Cho; Janet A Buchanan; Michael M Burgess; Ursula Danilczyk; Christina M Diaz; Kelly Fryer-Edwards; Shane K Green; Marc A Hodosh; Eric T Juengst; Jane Kaye; Laurence Kedes; Bartha Maria Knoppers; Trudo Lemmens; Eric M Meslin; Juli Murphy; Robert L Nussbaum; Margaret Otlowski; Daryl Pullman; Peter N Ray; Jeremy Sugarman; Michael Timmons
Journal:  PLoS Biol       Date:  2008-03-25       Impact factor: 8.029

8.  Privacy-preserving GWAS analysis on federated genomic datasets.

Authors:  Scott D Constable; Yuzhe Tang; Shuang Wang; Xiaoqian Jiang; Steve Chapin
Journal:  BMC Med Inform Decis Mak       Date:  2015-12-21       Impact factor: 2.796

9.  Private genome analysis through homomorphic encryption.

Authors:  Miran Kim; Kristin Lauter
Journal:  BMC Med Inform Decis Mak       Date:  2015-12-21       Impact factor: 2.796

10.  Secure distributed genome analysis for GWAS and sequence comparison computation.

Authors:  Yihua Zhang; Marina Blanton; Ghada Almashaqbeh
Journal:  BMC Med Inform Decis Mak       Date:  2015-12-21       Impact factor: 2.796

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  1 in total

Review 1.  Functional genomics data: privacy risk assessment and technological mitigation.

Authors:  Gamze Gürsoy; Tianxiao Li; Susanna Liu; Eric Ni; Charlotte M Brannon; Mark B Gerstein
Journal:  Nat Rev Genet       Date:  2021-11-10       Impact factor: 53.242

  1 in total

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