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Optimized homomorphic encryption solution for secure genome-wide association studies

机译:优化的同态加密解决方案用于安全的全基因组关联研究

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摘要

Genome-Wide Association Studies (GWAS) refer to observational studies of a genome-wide set of genetic variants across many individuals to see if any genetic variants are associated with a certain trait. When applied to human data, GWAS typically focus on associations between single-nucleotide polymorhisms (SNPs) and a quantitative or dichotomous disease outcome, as well as a number of quantitative covariates. However, the reliance on full genotype and phenotype data across thousands of samples raises major privacy concerns for GWAS, and has limited their applicability.
机译:全基因组关联研究(GWAS)是指对许多个体进行全基因组范围的遗传变异的观察性研究,以了解是否有任何遗传变异与某个性状相关。当应用于人类数据时,GWAS通常专注于单核苷酸多态性(SNP)与定量或二分疾病结果以及许多定量协变量之间的关联。但是,对成千上万个样本的完整基因型和表型数据的依赖引起了GWAS的主要隐私问题,并限制了它们的适用性。

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