Using encrypted genotypes and phenotypes for collaborative genomic analyses to maintain data confidentiality.

ABSTRACT: To adhere to and capitalize on the benefits of the FAIR (findable, accessible, interoperable, and reusable) principles in agricultural genome-to-phenome studies, it is crucial to address privacy and intellectual property issues that prevent sharing and reuse of data in research and industry. Direct sharing of genotype and phenotype data is often prohibited due to intellectual property and privacy concerns. Thus, there is a pressing need for encryption methods that obscure confidential aspects of the data, without affecting the outcomes of certain statistical analyses. A homomorphic encryption method for genotypes and phenotypes (HEGP) has been proposed for single-marker regression in genome-wide association studies (GWAS) using linear mixed models with Gaussian errors. This methodology per

SUBMITTER: Zhao T 

PROVIDER: S-EPMC11090459 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature