title: PREMIX: PRivacy-preserving EstiMation of Individual admiXture.
abstract: In this paper we proposed a framework: PRivacy-preserving EstiMation of Individual admiXture (PREMIX) using Intel software guard extensions (SGX). SGX is a suite of software and hardware architectures to enable efficient and secure computation over confidential data. PREMIX enables multiple sites to securely collaborate on estimating individual admixture within a secure enclave inside Intel SGX. We implemented a feature selection module to identify most discriminative Single Nucleotide Polymorphism (SNP) based on informativeness and an Expectation Maximization (EM)-based Maximum Likelihood estimator to identify the individual admixture. Experimental results based on both simulation and 1000 genome data demonstrated the efficiency and accuracy of the proposed framework. PREMIX ensures a high level of security as all operations on sensitive genomic data are conducted within a secure enclave using SGX.
authors.affiliation: Department of Biomedical Informatics, UC San Diego, La Jolla, CA.
authors.forename: Feng
authors.initials: F
authors.lastname: Chen
authors.affiliation: Department of Biomedical Informatics, UC San Diego, La Jolla, CA.
authors.forename: Michelle
authors.initials: M
authors.lastname: Dow
authors.affiliation: Department of Electrical and Computer Engineering, UC San Diego, La Jolla, CA.
authors.forename: Sijie
authors.initials: S
authors.lastname: Ding
authors.affiliation: Department of Electrical and Computer Engineering, UC San Diego, La Jolla, CA.
authors.forename: Yao
authors.initials: Y
authors.lastname: Lu
authors.affiliation: Department of Biomedical Informatics, UC San Diego, La Jolla, CA.
authors.forename: Xiaoqian
authors.initials: X
authors.lastname: Jiang
authors.affiliation: Department of Genetics, Stanford University, Stanford, CA.
authors.forename: Hua
authors.initials: H
authors.lastname: Tang
authors.affiliation: Department of Biomedical Informatics, UC San Diego, La Jolla, CA.
authors.forename: Shuang
authors.initials: S
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D000068240:Data Anonymization; D030661:Genetic Privacy; D023281:Genomics; D006801:Humans; D016013:Likelihood Functions; D020641:Polymorphism, Single Nucleotide; D044469:Racial Groups / Q000235:genetics; D012984:Software