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Last Posted: Nov 16, 2023
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Federated Analysis for Privacy-Preserving Data Sharing: A Technical and Legal Primer.
James Casaletto et al. Annu Rev Genomics Hum Genet 2023 5

Continued advances in precision medicine rely on the widespread sharing of data that relate human genetic variation to disease. However, data sharing is severely limited by legal, regulatory, and ethical restrictions that safeguard patient privacy. Federated analysis addresses this problem by transferring the code to the data—providing the technical and legal capability to analyze the data within their secure home environment rather than transferring the data to another institution for analysis.

Old and new challenges regarding comparable and viable data sharing in population-scale genomic research
A Raz et al, EJHG, March 31, 2023

Despite the rapid expansion of large-scale national genomic repositories and efforts to create diverse datasets, genomic diversity, which is crucial in comparative research, is not easily attainable. Many barriers to sharing genomic data have already been identified, including the interrelated challenges of comparability, confidentiality, and viability.

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