GenoCrypt beta
GenoCrypt beta identifies genetic relatives from high-throughput sequencing data while preserving participant privacy using cryptographic protocols.
Key Features:
- Privacy-Preserving: Employs cryptographic techniques to perform secure comparisons and relatedness tests on encrypted genomic data without requiring individuals to share their full genome with a third party.
- Comprehensive Variant Analysis: Uses both common and rare genetic variants to improve sensitivity for detecting familial relationships from sequencing data.
- Detection of Distant Relationships: Identifies relatedness up to fifth-degree cousins and detects cryptic relationships in datasets such as the 1000 Genomes Project.
Scientific Applications:
- Genealogical Research: Enables discovery of distant relatives from sequencing data while maintaining genomic confidentiality.
- Medical Genetics: Facilitates secure inference of familial connections relevant to analysis of hereditary conditions.
- Forensic Science: Supports establishment of genetic relationships in investigative contexts while protecting genomic privacy.
Methodology:
Performs relatedness tests on encrypted high-throughput sequencing data using cryptographic protocols and compares both common and rare genetic variants, demonstrated on datasets such as the 1000 Genomes Project.
Topics
Details
- Maturity:
- Emerging
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Hormozdiari F, Joo JWJ, Wadia A, Guan F, Ostrosky R, Sahai A, Eskin E. Privacy preserving protocol for detecting genetic relatives using rare variants. Bioinformatics. 2014;30(12):i204-i211. doi:10.1093/bioinformatics/btu294. PMID:24931985. PMCID:PMC4058916.