Privacy-preserving genotype imputation with fully homomorphic encryption.
Privacy-preserving genotype imputation with fully homomorphic encryption.
复制标题
通过完全同态加密保护隐私的基因型插补。
DOI：
10.1016/j.cels.2021.10.003
复制
发表时间：
2022-02-16
期刊：
影响因子：
9.3
通讯作者：
Gerstein M
中科院分区：
文献类型：
--
作者：
Gürsoy G;Chielle E;Brannon CM;Maniatakos M;Gerstein M
基因型推断是利用在大型基因组数据集中观察到的已知群体结构推断未知基因型；它可以进一步加深我们对表型-基因型关系的理解，并有助于QTL定位和gase。然而，基因型估算的计算密集型特性可能会使本地服务器无法进行计算和存储。因此，许多研究人员正在转向使用云服务，这引起了人们对隐私的担忧。我们通过开发一种称为p−Impute的高效隐私保护算法来解决这些问题。我们的方法使用同态加密，允许对密文进行计算，从而避免对云中的私有基因型进行解密。它类似于k-最近邻方法，基于同一块中遗传相关个体的SNP基因型推断基因组块中的缺失基因型。我们的结果证明了与最先进的明文解决方案一致的准确性。此外，p−Impute可扩展到实际应用，因为其内存和时间要求随着样本数量的增加而线性增加。p−Impute免费下载：10.5281/zenodo.5542001
Genotype imputation is the inference of unknown genotypes using known population structure observed in large genomic datasets; it can further our understanding of phenotype-genotype relationships and is useful for QTL mapping and GWASes. However, the compute-intensive nature of genotype imputation can overwhelm local servers for computation and storage. Hence, many researchers are moving towards using cloud services, raising privacy concerns. We address these concerns by developing an efficient, privacy-preserving algorithm called p−Impute. Our method uses homomorphic encryption, allowing calculations on ciphertext, thereby avoiding the decryption of private genotypes in the cloud. It is similar to k-nearest neighbor approaches, inferring missing genotypes in a genomic block based on the SNP genotypes of genetically related individuals in the same block. Our results demonstrate accuracy in agreement with the state-of-the-art plaintext solutions. Moreover, p−Impute is scalable to real-world applications as its memory and time requirements increase linearly with the increasing number of samples. p−Impute is freely available for download here: 10.5281/zenodo.5542001
登录
查看更多内容
影响因子：
3.5
作者：
Kim M;Lauter K
通讯作者：
Lauter K
DOI：
10.1038/gim.2015.167
发表时间：
2016-08
期刊：
Genetics in medicine : official journal of the American College of Medical Genetics
影响因子：
--
作者：
McLaren PJ;Raisaro JL;Aouri M;Rotger M;Ayday E;Bartha I;Delgado MB;Vallet Y;Günthard HF;Cavassini M;Furrer H;Doco-Lecompte T;Marzolini C;Schmid P;Di Benedetto C;Decosterd LA;Fellay J;Hubaux JP;Telenti A
通讯作者：
Telenti A
影响因子：
30.8
作者：
Das, Sayantan;Forer, Lukas;Schoenherr, Sebastian;Sidore, Carlo;Locke, Adam E.;Kwong, Alan;Vrieze, Scott I.;Chew, Emily Y.;Levy, Shawn;McGue, Matt;Schlessinger, David;Stambolian, Dwight;Loh, Po-Ru;Iacono, William G.;Swaroop, Anand;Scott, Laura J.;Cucca, Francesco;Kronenberg, Florian;Boehnke, Michael;Abecasis, Goncalo R.;Fuchsberger, Christian
通讯作者：
Fuchsberger, Christian
影响因子：
2.1
作者：
Li, Yun;Willer, Cristen J.;Ding, Jun;Scheet, Paul;Abecasis, Goncalo R.
通讯作者：
Abecasis, Goncalo R.
影响因子：
8
作者：
Bradley, AP
通讯作者：
Bradley, AP