{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["23(1)"],"submitter":["Kim M"],"pubmed_abstract":["<h4>Background</h4>Sequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable insight into genetic determinants of diseases. Protecting the genetic privacy of participants is challenging as only a few rare variants can easily re-identify an individual among millions. In certain cases, there are policy barriers against sharing genetic data from indigenous populations and stigmatizing conditions.<h4>Results</h4>We present SVAT, a method for secure outsourcing of variant annotation and aggregation, which are two basic steps in variant interpretation and detection of causal variants. SVAT uses homomorphic encryption to encrypt the data at the client-side. The data always stays encrypted while it is stored, in-transit"],"journal":["BMC bioinformatics"],"pagination":["409"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9526274"],"repository":["biostudies-literature"],"pubmed_title":["SVAT: Secure outsourcing of variant annotation and genotype aggregation."],"pmcid":["PMC9526274"],"pubmed_authors":["Wang S","Jiang X","Harmanci A","Kim M"],"additional_accession":[]},"is_claimable":false,"name":"SVAT: Secure outsourcing of variant annotation and genotype aggregation.","description":"<h4>Background</h4>Sequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable insight into genetic determinants of diseases. Protecting the genetic privacy of participants is challenging as only a few rare variants can easily re-identify an individual among millions. In certain cases, there are policy barriers against sharing genetic data from indigenous populations and stigmatizing conditions.<h4>Results</h4>We present SVAT, a method for secure outsourcing of variant annotation and aggregation, which are two basic steps in variant interpretation and detection of causal variants. SVAT uses homomorphic encryption to encrypt the data at the client-side. The data always stays encrypted while it is stored, in-transit","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-26T12:02:58.929Z","creation":"2025-02-19T00:24:13.567Z"},"accession":"S-EPMC9526274","cross_references":{"pubmed":["36182914"],"doi":["10.1186/s12859-022-04959-6"]}}