Secure secret-sharing-based crowdsourcing for large-scale association studies of genomic and phenotypic data
US10910087B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Jun 27, 2018 |
| Grant date | Feb 2, 2021 |
| Priority date | — |
| Expiry date | Jun 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B50/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computationally-efficient techniques facilitate secure crowdsourcing of genomic and phenotypic data, e.g., for large-scale association studies. In one embodiment, a method begins by receiving, via a secret sharing protocol, genomic and phenotypic data of individual study participants. Another data set, comprising results of pre-computation over random number data, e.g., mutually independent and uniformly-distributed random numbers and results of calculations over those random numbers, is also received via secret sharing. A secure computation then is executed against the secretly-shared genomic and phenotypic data, using the secretly-shared results of the pre-computation over random number data, to generate a set of genome-wide association study (GWAS) statistics. For increased computational efficiency, at least a part of the computation is executed over dimensionality-reduced genomic data. The resulting GWAS statistics are then used to identify genetic variants that are statistically-correlated with a phenotype of interest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.