Evidence map›Paper›PMID 40930087›Full record

ArticleCell reports methods2025

Toward owner governance in genomic data privacy with Governome.

Jingcheng Zhang, Yekai Zhou, Yingxuan Ren, Man Ho Au, Ka-Ho Chow, Lei Chen, Yanmin Zhao, Junhao Su, Ruibang Luo

Abstract read
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jingcheng ZhangSchool of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China.
Yekai ZhouSchool of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China.
Yingxuan RenSchool of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China.
Man Ho AuDepartment of Computing, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Ka-Ho ChowSchool of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China.
Lei ChenSchool of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China.
Yanmin ZhaoSchool of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China.
Junhao SuSchool of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China. Electronic address: jhsu@cs.hku.hk.
Ruibang LuoSchool of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China. Electronic address: rbluo@cs.hku.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancements in sequencing technologies grant individuals unprecedented access to their genomic data. However, existing data management systems or protocols are inadequate in privacy protection, limiting individuals' control over their genomic information, hindering data sharing, and posing challenges for biomedical research. Therefore, demand exists for an owner-governed system fulfilling owner authority, life cycle data encryption, and verifiability simultaneously. Here, we realized Governome, an owner-governed data management system empowering individuals with real-time control over their genomic data. Governome leverages a blockchain to manage transactions and permissions, granting data owners dynamic permission management with full transparency on data usage. It uses homomorphic encryption and zero-knowledge proofs to enable genomic data storage and computation in an encrypted and verifiable form throughout its life cycle. Governome can support versatile genomic applications. We implemented and tested individual variant query, cohort study, genome-wide association study (GWAS) analysis, and forensics on 2,504 1000 Genomes Project (1kGP) genomes, demonstrating its robustness and scalability. Governome is open-source at https://github.com/HKU-BAL/Governome.

Indexed as

Genetic PrivacyGenomicsComputer SecurityGenome, HumanGenome-Wide Association StudyHumansblockchainCP: Computational biologyCP: Geneticsgenomic data managementgenomic data privacyhomomorphic encryptionprivacy-enhancing technologieszero-knowledge proof

Identifiers

PMID40930087
PMCPMC12539250

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.