PATENT CLAIM ANALYSIS

Application Number: 16020058
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["702", "019000"]

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.

Claim (Index 1):
A method executed at a first computing entity, comprising:\n receiving a share of a first data set, the first data set comprising sequenced genomes and phenotypes of study participants, wherein the share of the first data set is received at the first computing entity in association with distribution, according to a secret sharing protocol, of shares of the first data set to a set of computing entities that include the first computing entity and at least a second computing entity; receiving a share associated with a second data set, the second data set comprising mutually independent and uniformly-distributed random numbers and results of calculations over the random numbers, wherein the share of the second data set is received at the first computing entity in association with distribution, according to the secret sharing protocol, of shares of the second data set to the set of computing entities; and using the share associated with the second data set to facilitate a secure and efficient computation over the share of the first data set to generate an output, the computation being carried out during an interaction between the first computing entity and the second computing entity, wherein part of the computation is executed over a compression of the share of the first data set for increased computational efficiency.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.88095
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14528736', '15382034', '14200520', '15084951', '13007365']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1867019378606239
- 35 USC 102 Novelty (BERT): 0.4905941571863487
- Combined Prediction Score: 0.2170911597931963
- Mean Citation Score: 164.62925800000005
- Max Citation Score: 187.6243
- Similarity Product: 121.44290295066834

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test