Private Genomes and Public SNPs: Homomorphic Encryption of Genotypes and Phenotypes for Shared Quantitative Genetics

Sharing human genotype and phenotype data is essential to discover otherwise inaccessible genetic associations, but is a challenge because of privacy concerns. Here, we present a method of homomorphic encryption that obscures individuals’ genotypes and phenotypes, and is suited to quantitative genet...

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Detalles Bibliográficos
Autores principales: Mott, Richard, Fischer, Christian, Prins, Pjotr, Davies, Robert William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2020
Materias:
Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268998/
https://www.ncbi.nlm.nih.gov/pubmed/32327562
http://dx.doi.org/10.1534/genetics.120.303153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268998/
https://www.ncbi.nlm.nih.gov/pubmed/32327562
http://dx.doi.org/10.1534/genetics.120.303153

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