Collaborative genome-wide association analysis with cryptography

IF 31.7 1区生物学 Q1 GENETICS & HEREDITY

Nature genetics Pub Date : 2025-04-01 DOI:10.1038/s41588-025-02110-8

引用次数: 0

Abstract

Modern genome-wide association study (GWAS) datasets are biobank scale and are distributed across isolated repositories, owing to privacy concerns and regulations. Secure federated GWAS leverages cryptographic tools to enable joint analysis of these siloed datasets, thereby enhancing a range of common analyses while providing formal guarantees of data privacy.

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来源期刊

Nature genetics 生物-遗传学

CiteScore

43.00

自引率

2.60%

发文量

241

审稿时长

3 months

期刊介绍： Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution