Article

Revealing the causative variant in Mendelian patient genomes without revealing patient genomes

2017-01-27

Abstract excerpt

Given the rapidly growing utility of critical health information revealed in the human genome, secure genomic computation is essential to moving forward, especially as genome sequencing becomes commonplace. We devise and implement proof-of-principle computational operations for precisely identifying causal variants in Mendelian patients using secure multiparty computation methods based on Yao’s protocol. We show m...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c7894036-b07b-5287-980c-ddf904681920
DOI: 10.1101/103655

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Revealing the causative variant in Mendelian patient genomes without revealing patient genomesDOI 10.1101/103655Read

Keeping patient phenotypes and genotypes private while seeking disease diagnosesSemantic proximity Read

Identifying disease-causing mutations with privacy protection.Semantic proximity Read

Deterministic identification of specific individuals from GWAS results.Semantic proximity Read

SecureMA: protecting participant privacy in genetic association meta-analysisSemantic proximity Read

Secure Comparisons of Single Nucleotide Polymorphisms Using Secure Multiparty ComputationSemantic proximity Read

Privacy preserving protocol for detecting genetic relatives using rare variants.Semantic proximity Read

Privacy-Preserving Microbiome Analysis Using Secure ComputationSemantic proximity Read

Redefining Genomic Privacy: Trust and EmpowermentSemantic proximity Read

Mechanisms to protect the privacy of families when using the transmission disequilibrium test in genome-wide association studies.Semantic proximity Read

Secure large-scale genome-wide association studies using homomorphic encryption.Semantic proximity Read

HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS.Semantic proximity Read

COLLAGENE enables privacy-aware federated and collaborative genomic data analysis.Semantic proximity Read