1 results match your criteria: "USA vpopic@broadinstitute.org bab@mit.edu hoon.cho@yale.edu.[Affiliation]"
Secure discovery of genetic relatives across large-scale and distributed genomic data sets.
Genome Res
October 2024
Department of Biomedical Informatics and Data Science, Yale University, New Haven, Connecticut 06510, USA
Article Synopsis
- Finding relatives in genomic studies is tough when data is spread across multiple organizations with sharing restrictions.
- SF-Relate is a new federated algorithm that uses a unique hashing approach to efficiently and securely identify genetic relatives by grouping individuals into buckets and only comparing those in the same group.
- It ensures privacy through multiparty homomorphic encryption, allowing secure computation of relatedness without any private data being shared, successfully identifying 97% of close relatives in large datasets like the UK Biobank.