SecureMA

SecureMA performs secure meta-analysis of genetic association studies across multiple substudy sites to enable collaborative genomic research while preserving participant and site-level privacy.

Key Features:

• Secure meta-analysis: Performs meta-analysis for genetic association studies across multiple data sites without sharing individual-level genotype or phenotype data.
• Privacy protection: Protects confidentiality of individual participants and substudy sites using cryptographic safeguards.
• Cryptographic techniques: Implements advanced and novel cryptographic strategies and secure computations to prevent unauthorized access to sensitive genomic information.
• Validation: Has been validated on three multisite association studies, demonstrating effectiveness in analyzing genetic associations across substudy sites.
• Secure computation framework: Includes a customized secure computation framework to support privacy-preserving computations for joint analyses.

Scientific Applications:

• Multisite genetic association studies: Enables combined analysis of association signals across distinct cohorts without exchanging individual-level data.
• Consortia-scale collaborative genomics: Supports collaborative research across large consortia by preserving confidentiality of site-specific summaries.
• Privacy-preserving joint analyses: Facilitates joint studies that require integration of results from multiple substudy sites while maintaining participant privacy.

Methodology:

Implements advanced cryptographic strategies and a customized secure computation framework to perform privacy-preserving meta-analysis and secure computations across multiple substudy sites.