Evidence map›Paper›PMID 32601475›Full record

ReviewNature genetics2020

Privacy challenges and research opportunities for genomic data sharing.

Luca Bonomi, Yingxiang Huang, Lucila Ohno-Machado

Abstract readReview
In one paragraph

Review in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 2 pooled it
–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

143 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Article
  4. Unlocking Sensitive Data with SPHERE in the Age of AI.bioRxiv : the preprint server for biology · 2026
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83 more citing papers are in PubMed but not listed here.

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

3 authors.

Luca BonomiUCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA. lbonomi@ucsd.edu.ORCID http://orcid.org/0000-0002-5751-1341
Yingxiang HuangUCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA.
Lucila Ohno-MachadoUCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-8005-7327

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
Protecting Privacy and Facilitating Shared Access of Clinical and Genetic Data of Special PopulationsR01HL136835 · NHLBI · YALE UNIVERSITY · PI OHNO-MACHADO, LUCILA · 2018 to 2022
$6.5M
Decentralized differentially-private methods for dynamic data release and analysisR01GM118609 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JIANG, XIAOQIAN, OHNO-MACHADO, LUCILA · 2017 to 2020
$2.3M
SAFEGENOMES: Strong privacy Assurance For Effective GENOME SharingK99HG010493 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BONOMI, LUCA · 2019 to 2020
$222k
NCI NIH HHS P30 CA023100NHGRI NIH HHS K99 HG010493NHLBI NIH HHS R01 HL136835NIGMS NIH HHS R01 GM118609
6 · The paper itself

Abstract

The sharing of genomic data holds great promise in advancing precision medicine and providing personalized treatments and other types of interventions. However, these opportunities come with privacy concerns, and data misuse could potentially lead to privacy infringement for individuals and their blood relatives. With the rapid growth and increased availability of genomic datasets, understanding the current genome privacy landscape and identifying the challenges in developing effective privacy-protecting solutions are imperative. In this work, we provide an overview of major privacy threats identified by the research community and examine the privacy challenges in the context of emerging direct-to-consumer genetic-testing applications. We additionally present general privacy-protection techniques for genomic data sharing and their potential applications in direct-to-consumer genomic testing and forensic analyses. Finally, we discuss limitations in current privacy-protection methods, highlight possible mitigation strategies and suggest future research opportunities for advancing genomic data sharing.

Indexed as

Genetic PrivacyGenetic TestingGenomicsInformation DisseminationDatasets as TopicForensic GeneticsGenetic ResearchHumansPedigreeRisk Assessment

Identifiers

PMID32601475
PMCPMC7761157

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.