NGS-Logistics: federated analysis of NGS sequence variants across multiple locations

被引：16

作者：

Ardeshirdavani, Amin ^{[1
,2
]}

Souche, Erika ^{[3
]}

Dehaspe, Luc ^{[3
]}

Van Houdt, Jeroen ^{[3
]}

Vermeesch, Joris Robert ^{[3
]}

Moreau, Yves ^{[1
,2
]}

机构：

[1] Katholieke Univ Leuven, STADIUS Ctr Dynam Syst Signal Proc & Data Analyt, Dept Elect Engn ESAT, B-3001 Leuven, Belgium

[2] iMinds Med IT Dept, B-3001 Leuven, Belgium

[3] Katholieke Univ Leuven, Ctr Human Genet Gasthuisberg, B-3000 Leuven, Belgium

来源：

GENOME MEDICINE | 2014年 / 6卷

关键词：

DATABASE; FORMAT;

D O I：

10.1186/s13073-014-0071-9

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

As many personal genomes are being sequenced, collaborative analysis of those genomes has become essential. However, analysis of personal genomic data raises important privacy and confidentiality issues. We propose a methodology for federated analysis of sequence variants from personal genomes. Specific base-pair positions and/or regions are queried for samples to which the user has access but also for the whole population. The statistics results do not breach data confidentiality but allow further exploration of the data; researchers can negotiate access to relevant samples through pseudonymous identifiers. This approach minimizes the impact on data confidentiality while enabling powerful data analysis by gaining access to important rare samples.

引用

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