Secure and federated genome-wide association studies for biobank-scale datasets.

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Title: Secure and federated genome-wide association studies for biobank-scale datasets.
Authors: Cho H; Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA. hoon.cho@yale.edu.; Department of Computer Science, Yale University, New Haven, CT, USA. hoon.cho@yale.edu.; Broad Institute of MIT and Harvard, Cambridge, MA, USA. hoon.cho@yale.edu., Froelicher D; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Computer Science and AI Laboratory, MIT, Cambridge, MA, USA., Chen J; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Computer Science and AI Laboratory, MIT, Cambridge, MA, USA., Edupalli M; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Pyrgelis A; School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland., Troncoso-Pastoriza JR; Tune Insight SA, Lausanne, Switzerland., Hubaux JP; School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland. jean-pierre.hubaux@epfl.ch.; Tune Insight SA, Lausanne, Switzerland. jean-pierre.hubaux@epfl.ch., Berger B; Broad Institute of MIT and Harvard, Cambridge, MA, USA. bab@mit.edu.; Computer Science and AI Laboratory, MIT, Cambridge, MA, USA. bab@mit.edu.; Department of Mathematics, MIT, Cambridge, MA, USA. bab@mit.edu.
Source: Nature genetics [Nat Genet] 2025 Apr; Vol. 57 (4), pp. 809-814. Date of Electronic Publication: 2025 Feb 24.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Co Country of Publication: United States NLM ID: 9216904 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1718 (Electronic) Linking ISSN: 10614036 NLM ISO Abbreviation: Nat Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-1718
DOI:10.1038/s41588-025-02109-1