000229307 001__ 229307
000229307 005__ 20190416220337.0
000229307 0247_ $$2doi$$a10.1093/bioinformatics/btx193
000229307 02470 $$2ISI$$a000406347500004
000229307 037__ $$aARTICLE
000229307 245__ $$aSQC: Secure Quality Control for Meta-Analysis of Genome-Wide Association Studies
000229307 269__ $$a2017
000229307 260__ $$aOxford$$bOxford University Press$$c2017
000229307 300__ $$a8
000229307 336__ $$aJournal Articles
000229307 520__ $$aMotivation: Due to the limited power of small-scale genome-wide association studies (GWAS), researchers tend to collaborate and establish a larger consortium in order to perform large-scale GWAS. Genome-wide association meta-analysis (GWAMA) is a statistical tool that aims to synthesize results from multiple independent studies to increase the statistical power and reduce false-positive findings of GWAS. However, it has been demonstrated that the aggregate data of individual studies are subject to inference attacks, hence privacy concerns arise when researchers share study data in GWAMA. Results: In this article, we propose a secure quality control (SQC) protocol, which enables checking the quality of data in a privacy-preserving way without revealing sensitive information to a potential adversary. SQC employs state-of-the-art cryptographic and statistical techniques for privacy protection. We implement the solution in a meta-analysis pipeline with real data to demonstrate the efficiency and scalability on commodity machines. The distributed execution of SQC on a cluster of 128 cores for one million genetic variants takes less than one hour, which is a modest cost considering the 10-month time span usually observed for the completion of the QC procedure that includes timing of logistics.
000229307 6531_ $$aGenomic privacy
000229307 6531_ $$aMultiparty computation
000229307 700__ $$0247593$$aHuang, Zhicong$$g221272
000229307 700__ $$0248563$$aLin, Huang$$g251781
000229307 700__ $$0245371$$aFellay, Jacques$$g213497
000229307 700__ $$aKutalik, Zoltan
000229307 700__ $$0240456$$aHubaux, Jean-Pierre$$g105427
000229307 773__ $$j33$$k15$$q2273–2280$$tBioinformatics
000229307 8564_ $$uhttps://github.com/acs6610987/secureqc$$zURL
000229307 909C0 $$0252452$$pLCA1$$xU10426
000229307 909C0 $$0252395$$pGR-FE$$xU12477
000229307 909CO $$ooai:infoscience.tind.io:229307$$pSV$$pIC$$particle$$qGLOBAL_SET
000229307 917Z8 $$x221272
000229307 917Z8 $$x221272
000229307 937__ $$aEPFL-ARTICLE-229307
000229307 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000229307 980__ $$aARTICLE