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Literature DB >> 11079941

Determining the identifiability of DNA database entries.

Abstract

CleanGene is a software program that helps determine the identifiability of sequenced DNA, independent of any explicit demographics or identifiers maintained with the DNA. The program computes the likelihood that the release of DNA database entries could be related to specific individuals that are the subjects of the data. The engine within CleanGene relies on publicly available health care data and on knowledge of particular diseases to help relate identified individuals to DNA entries. Over 20 diseases, ranging over ataxias, blood diseases, and sex-linked mutations are accounted for, with 98-100% of individuals found identifiable. We assume the genetic material is released in a linear sequencing format from an individual's genome. CleanGene and its related experiments are useful tools for any institution seeking to provide anonymous genetic material for research purposes.

Entities: Disease

Mesh：

Substances：
DNA

Year: 2000 PMID： 11079941 PMCID： PMC2244110

Source DB: PubMed Journal: Proc AMIA Symp ISSN： 1531-605X

13 in total

1. DBcat: a catalog of 500 biological databases.

Authors: C Discala; X Benigni; E Barillot; G Vaysseix
Journal: Nucleic Acids Res Date: 2000-01-01 Impact factor: 16.971

2. Three computational systems for disclosing medical data in the year 1999.

Authors: L Sweeney
Journal: Stud Health Technol Inform Date: 1998

3. Genetic privacy and the law: an end to genetics exceptionalism.

Authors: L O Gostin; J G Hodge
Journal: Jurimetrics Date: 1999

4. Iceland's plan for genomics research: facts and implications.

Authors: H T Greely
Journal: Jurimetrics Date: 2000

5. System for efficient and secure distribution of medical images on the Internet.

Authors: J Z Wang; G Wiederhold
Journal: Proc AMIA Symp Date: 1998

6. The human gene mutation database.

Authors: M Krawczak; D N Cooper
Journal: Trends Genet Date: 1997-03 Impact factor: 11.639

7. UMD (Universal mutation database): a generic software to build and analyze locus-specific databases.

Authors: C Béroud; G Collod-Béroud; C Boileau; T Soussi; C Junien
Journal: Hum Mutat Date: 2000 Impact factor: 4.878

8. p53 website and analysis of p53 gene mutations in human cancer: forging a link between epidemiology and carcinogenesis.

Authors: T Soussi; K Dehouche; C Béroud
Journal: Hum Mutat Date: 2000 Impact factor: 4.878

9. Comparison between genotype and phenotype identifies a high-risk population carrying BRCA1 mutations.

Authors: L Cortesi; D Turchetti; C Bertoni; R Bellei; L Mangone; M Vinceti; M Federico; V Silingardi; S Ferrari
Journal: Genes Chromosomes Cancer Date: 2000-02 Impact factor: 5.006

10. Online Mendelian Inheritance in Man (OMIM).

Authors: A Hamosh; A F Scott; J Amberger; D Valle; V A McKusick
Journal: Hum Mutat Date: 2000 Impact factor: 4.878

18 in total

1. Using binning to maintain confidentiality of medical data.

Authors: Zhen Lin; Michael Hewett; Russ B Altman
Journal: Proc AMIA Symp Date: 2002

2. iDASH: integrating data for analysis, anonymization, and sharing.

Authors: Lucila Ohno-Machado; Vineet Bafna; Aziz A Boxwala; Brian E Chapman; Wendy W Chapman; Kamalika Chaudhuri; Michele E Day; Claudiu Farcas; Nathaniel D Heintzman; Xiaoqian Jiang; Hyeoneui Kim; Jihoon Kim; Michael E Matheny; Frederic S Resnic; Staal A Vinterbo
Journal: J Am Med Inform Assoc Date: 2011-11-10 Impact factor: 4.497

Determining the identifiability of DNA database entries.

1. DBcat: a catalog of 500 biological databases.

2. Three computational systems for disclosing medical data in the year 1999.

3. Genetic privacy and the law: an end to genetics exceptionalism.

4. Iceland's plan for genomics research: facts and implications.

5. System for efficient and secure distribution of medical images on the Internet.

6. The human gene mutation database.

7. UMD (Universal mutation database): a generic software to build and analyze locus-specific databases.

8. p53 website and analysis of p53 gene mutations in human cancer: forging a link between epidemiology and carcinogenesis.

9. Comparison between genotype and phenotype identifies a high-risk population carrying BRCA1 mutations.

10. Online Mendelian Inheritance in Man (OMIM).

1. Using binning to maintain confidentiality of medical data.

2. iDASH: integrating data for analysis, anonymization, and sharing.

3. An evaluation of the current state of genomic data privacy protection technology and a roadmap for the future.

4. Re-identification of familial database records.

5. Detecting the Presence of an Individual in Phenotypic Summary Data.

6. Re-identification of DNA through an automated linkage process.

Review 7. Privacy-preserving techniques of genomic data-a survey.

8. How anonymous is 'anonymous'? Some suggestions towards a coherent universal coding system for genetic samples.

9. An Entropy Approach to Disclosure Risk Assessment: Lessons from Real Applications and Simulated Domains.

Review 10. Privacy technology to support data sharing for comparative effectiveness research: a systematic review.