Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
11 10 2021
11 10 2021
Historique:
received:
12
03
2021
accepted:
01
09
2021
entrez:
12
10
2021
pubmed:
13
10
2021
medline:
28
10
2021
Statut:
epublish
Résumé
Using real-world evidence in biomedical research, an indispensable complement to clinical trials, requires access to large quantities of patient data that are typically held separately by multiple healthcare institutions. We propose FAMHE, a novel federated analytics system that, based on multiparty homomorphic encryption (MHE), enables privacy-preserving analyses of distributed datasets by yielding highly accurate results without revealing any intermediate data. We demonstrate the applicability of FAMHE to essential biomedical analysis tasks, including Kaplan-Meier survival analysis in oncology and genome-wide association studies in medical genetics. Using our system, we accurately and efficiently reproduce two published centralized studies in a federated setting, enabling biomedical insights that are not possible from individual institutions alone. Our work represents a necessary key step towards overcoming the privacy hurdle in enabling multi-centric scientific collaborations.
Identifiants
pubmed: 34635645
doi: 10.1038/s41467-021-25972-y
pii: 10.1038/s41467-021-25972-y
pmc: PMC8505638
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
5910Subventions
Organisme : NIH HHS
ID : DP5 OD029574
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG010959
Pays : United States
Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2021. The Author(s).
Références
Int J Ayurveda Res. 2010 Oct;1(4):274-8
pubmed: 21455458
Trials. 2007 Jun 07;8:16
pubmed: 17555582
Science. 2018 Oct 19;362(6412):347-350
pubmed: 30337410
Proc Natl Acad Sci U S A. 2015 Nov 24;112(47):14658-63
pubmed: 26553974
Nat Biotechnol. 2018 Jul;36(6):547-551
pubmed: 29734293
J Am Med Inform Assoc. 2020 Nov 1;27(11):1721-1726
pubmed: 32918447
Int J Epidemiol. 2014 Dec;43(6):1929-44
pubmed: 25261970
Nature. 2021 Jun;594(7862):265-270
pubmed: 34040261
Science. 2017 Aug 18;357(6352):692-695
pubmed: 28818945
Sci Rep. 2020 Jul 28;10(1):12598
pubmed: 32724046
Proc Natl Acad Sci U S A. 2020 May 26;117(21):11608-11613
pubmed: 32398369
AMIA Annu Symp Proc. 2021 Jan 25;2020:870-877
pubmed: 33936462
Cell Syst. 2016 Jul;3(1):54-61
pubmed: 27453444
J Med Internet Res. 2020 Dec 8;22(12):e22555
pubmed: 33289676
J Am Med Inform Assoc. 2020 Mar 1;27(3):366-375
pubmed: 31750926
J Med Internet Res. 2021 Feb 25;23(2):e25120
pubmed: 33629963
Nat Genet. 2019 Feb;51(2):202-206
pubmed: 30643254
IEEE/ACM Trans Comput Biol Bioinform. 2019 Jul-Aug;16(4):1328-1341
pubmed: 30010584