Rethinking privacy-preserving GWAS benchmarks for governance

2026/07/23

paper · doi:10.1038/s43588-026-01023-8

Abstract

Nature Computational Science, Published online: 23 July 2026; doi:10.1038/s43588-026-01023-8 Privacy, utility, and efficiency benchmarks have advanced privacy-preserving genome-wide association studies (GWAS) but often fall short of supporting organizational decisions about responsible data sharing. Future benchmarks should connect formal guarantees and assumptions to institutional risk, accountability, and decision making.

Related

• Secure and Distributed Assessment of Privacy-Preserving Releases of GWAS
• I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies
• GOPHER: Optimization-based Phenotype Randomization for Genome-Wide Association Studies with Differential Privacy
• PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
• Privacy-Preserving Data Sharing for Genome-Wide Association Studies