Epigenome data release: a participant-centered approach to privacy protection

被引：35

作者：

Dyke, Stephanie O. M. ^{[1
]}

Cheung, Warren A. ^{[2
,3
]}

Joly, Yann ^{[1
]}

Ammerpohl, Ole ^{[4
,5
]}

Lutsik, Pavlo ^{[6
]}

Rothstein, Mark A. ^{[7
]}

Caron, Maxime ^{[2
,3
]}

Busche, Stephan ^{[2
,3
]}

Bourque, Guillaume ^{[2
,3
]}

Ronnblom, Lars ^{[8
]}

Flicek, Paul ^{[9
]}

Beck, Stephan ^{[10
]}

Hirst, Martin ^{[11
,12
]}

Stunnenberg, Henk ^{[13
]}

Siebert, Reiner ^{[4
,5
]}

Walter, Joern ^{[6
]}

Pastinen, Tomi ^{[2
,3
]}

机构：

[1] McGill Univ, Ctr Genom & Policy, Dept Human Genet, Montreal, PQ H3A 0G1, Canada

[2] McGill Univ, Dept Human Genet, Montreal, PQ H3A 0G1, Canada

[3] Genome Quebec Innovat Ctr, Montreal, PQ H3A 0G1, Canada

[4] Univ Hosp Schleswig Holstein, Inst Human Genet, D-24105 Kiel, Germany

[5] Univ Kiel, D-24105 Kiel, Germany

[6] Univ Saarland, D-66123 Saarbrucken, Germany

[7] Univ Louisville, Sch Med, Inst Bioeth Hlth Policy & Law, Louisville, KY 40202 USA

[8] Uppsala Univ, Dept Med Sci, Sci Life Lab, SE-75185 Uppsala, Sweden

[9] European Bioinformat Inst, European Mol Biol Lab, Cambridge CB10 1SD, England

[10] UCL, UCL Canc Inst, Med Genom, London WC1E 6BT, England

[11] Univ British Columbia, Ctr High Throughput Biol, Vancouver, BC V5Z 4S6, Canada

[12] BC Canc Agcy, Canadas Michael Smith Genome Sci Ctr, Vancouver, BC V5Z 4S6, Canada

[13] Radboud Univ Nijmegen, Fac Sci, RIMLS, Dept Mol Biol, NL-6500 HB Nijmegen, Netherlands

来源：

GENOME BIOLOGY | 2015年 / 16卷

基金：

加拿大健康研究院;

关键词：

DISEASE-ASSOCIATED VARIANTS; DNA METHYLATION; GENETIC DISCRIMINATION; LIFE-INSURANCE; HAPMAP PROJECT; SCIENCE; 5-METHYLCYTOSINE; REIDENTIFICATION; IDENTIFICATION; INDIVIDUALS;

D O I：

10.1186/s13059-015-0723-0

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Large-scale epigenome mapping by the NIH Roadmap Epigenomics Project, the ENCODE Consortium and the International Human Epigenome Consortium (IHEC) produces genome-wide DNA methylation data at one base-pair resolution. We examine how such data can be made open-access while balancing appropriate interpretation and genomic privacy. We propose guidelines for data release that both reduce ambiguity in the interpretation of open-access data and limit immediate access to genetic variation data that are made available through controlled access.

引用

页数：12

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