Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.1K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
12.1K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.6K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Scalar Fields around Black Hole Binaries in LIGO-Virgo-KAGRA.

Physical review letters·2026
Same author

Cost-Effectiveness of Earlier Diagnosis of Fibrotic Interstitial Lung Diseases (Fibrotic ILDs) and Earlier Treatment of Its Progressive Form, Progressive Pulmonary Fibrosis (PPF).

Advances in therapy·2026
Same author

<i>AdhesionScore</i>: A Prognostic Predictor of Breast Cancer Patients Based on a Cell Adhesion-Associated Gene Signature.

Cancers·2025
Same author

Sarcoid Pleural Effusion Presenting With Pachypleuritis: A Rare Manifestation in a Young Adult.

Cureus·2025
Same author

Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia: An Uncommon Clinical Challenge.

Cureus·2025
Same author

Minimal clinically important difference for quadriceps maximal voluntary contraction following pulmonary rehabilitation in people with interstitial lung disease.

Respiratory medicine·2025

Related Experiment Video

Updated: May 11, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

12.9K

Exploiting Trusted Execution Environments and Distributed Computation for Genomic Association Tests.

Claudia V Brito, Pedro G Ferreira, Joao T Paulo

    IEEE Journal of Biomedical and Health Informatics
    |April 18, 2025
    PubMed
    Summary

    Gyosa enhances genomic data privacy for genome-wide association studies (GWAS) by using trusted execution environments (TEEs). This secure solution allows confidential analysis of sensitive genomic data on untrusted cloud infrastructures.

    More Related Videos

    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
    08:03

    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

    Published on: December 7, 2021

    2.0K
    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
    05:53

    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

    Published on: June 21, 2018

    10.1K

    Related Experiment Videos

    Last Updated: May 11, 2025

    Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
    11:35

    Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

    Published on: August 21, 2016

    12.9K
    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
    08:03

    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

    Published on: December 7, 2021

    2.0K
    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
    05:53

    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

    Published on: June 21, 2018

    10.1K

    Area of Science:

    • Genomics
    • Bioinformatics
    • Computer Science

    Background:

    • Genomic data analysis is rapidly expanding due to sequencing technology advancements.
    • Analyzing sensitive genomic data on cloud platforms raises significant privacy concerns.
    • Existing solutions often lack robust privacy-preserving mechanisms for outsourced computations.

    Purpose of the Study:

    • To introduce Gyosa, a novel secure and privacy-preserving distributed solution for genomic analysis.
    • To enable confidential delegation of genome-wide association studies (GWAS) to untrusted infrastructures.
    • To reduce computational overhead within trusted execution environments (TEEs) while maintaining data privacy.

    Main Methods:

    • Leveraging trusted execution environments (TEEs) for secure computation.
    • Implementing a computation partitioning scheme to minimize TEE workload.
    • Integrating the security scheme within the Glow framework for distributed GWAS.
    • Utilizing experimental evaluations to assess performance and security.

    Main Results:

    • Gyosa provides a secure and privacy-preserving framework for distributed genomic analysis.
    • The computation partitioning scheme effectively reduces the burden on TEEs.
    • The solution integrates seamlessly with the Glow platform, supporting diverse GWAS.
    • Experimental results demonstrate the applicability, scalability, and enhanced security of Gyosa.

    Conclusions:

    • Gyosa offers a viable solution for secure and confidential outsourced genomic data analysis.
    • The system effectively balances security, privacy, and computational efficiency.
    • Gyosa facilitates broader adoption of cloud computing for sensitive genomic research.