Evidence map›Paper›PMID 39696687›Full record

ArticleGenome biology2024

SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine.

Jacob Blindenbach, Jiayi Kang, Seungwan Hong, Caline Karam, Thomas Lehner, Gamze Gürsoy

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jacob Blindenbach *Department of Computer Science, Columbia University, New York, USA.
Jiayi Kang *COSIC, KU Leuven, Leuven, Belgium.
Seungwan Hong *Department of Biomedical Informatics, Columbia University, New York, USA. shong@nygenome.org.
Caline KaramNew York Genome Center, New York, USA.
Thomas LehnerNew York Genome Center, New York, USA.
Gamze GürsoyDepartment of Computer Science, Columbia University, New York, USA. gamze.gursoy@columbia.edu.ORCID 0000-0002-1352-8686

Funding

Tools to Address the Challenges of Preserving Privacy in Sharing and Analysis of Biomedical DataR35GM147004 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GURSOY, GAMZE · 2022 to 2025
$1.8M
Realistic quantification of potential privacy loss from genomic summary resultsR00HG010909 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GURSOY, GAMZE · 2022 to 2024
$727k
NHGRI NIH HHS R00 HG010909NHGRI NIH HHS R00HG010909NIGMS NIH HHS R35 GM147004NIGMS NIH HHS R35GM147004
6 · The paper itself

Abstract

Cloud computing allows storing the ever-growing genotype-phenotype datasets crucial for precision medicine. Due to the sensitive nature of this data and varied laws and regulations, additional security measures are needed to ensure data privacy. We develop SQUiD, a secure queryable database for storing and analyzing genotype-phenotype data. SQUiD allows storage and secure querying of data in a low-security, low-cost public cloud using homomorphic encryption in a multi-client setting. We demonstrate SQUiD's practical usability and scalability using synthetic and UK Biobank data.

Indexed as

Precision MedicineCloud ComputingComputer SecurityDatabases, GeneticHumansInformation Storage and Retrieval

Identifiers

PMID39696687
PMCPMC11657510

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.