Evidence map›Paper›PMID 28269933›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016

PREMIX: PRivacy-preserving EstiMation of Individual admiXture.

Feng Chen, Michelle Dow, Sijie Ding, Yao Lu, Xiaoqian Jiang, Hua Tang, Shuang Wang

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. SCOTCH: Secure Counting Of encrypTed genomiC data using a Hybrid approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
  13. SAFETY: Secure gwAs in Federated Environment through a hYbrid Solution.IEEE/ACM transactions on computational biology and bioinformatics
    Article
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

7 authors.

Feng ChenDepartment of Biomedical Informatics, UC San Diego, La Jolla, CA.
Michelle DowDepartment of Biomedical Informatics, UC San Diego, La Jolla, CA.
Sijie DingDepartment of Electrical and Computer Engineering, UC San Diego, La Jolla, CA.
Yao LuDepartment of Electrical and Computer Engineering, UC San Diego, La Jolla, CA.
Xiaoqian JiangDepartment of Biomedical Informatics, UC San Diego, La Jolla, CA.
Hua TangDepartment of Genetics, Stanford University, Stanford, CA.
Shuang WangDepartment of Biomedical Informatics, UC San Diego, La Jolla, CA.

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
BioCADDIE: Biomedical and healthCAre Data Discovery and Indexing Engine centerU24AI117966 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2014 to 2016
$10.9M
SHARE: Statistical Health Information Release with Differential PrivacyR01GM114612 · NIGMS · EMORY UNIVERSITY · PI XIONG, LI · 2015 to 2017
$1.0M
Privacy preserving technologies for human genome data analysis and disseminationR01HG007078 · NHGRI · TRUSTEES OF INDIANA UNIVERSITY · PI TANG, HAIXU, WANG, XIAOFENG · 2013 to 2015
$886k
Protection of Records: Privacy (PReP) Technology for Medical ResearchR00LM011392 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JIANG, XIAOQIAN · 2013 to 2015
$650k
Protecting the pRivacy Of Genomes in REsearch StudieS (PROGRESS)R00HG008175 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, SHUANG · 2016 to 2018
$527k
Protect Privacy of Healthcare Data in the CloudR21LM012060 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JIANG, XIAOQIAN · 2014 to 2015
$376k
NHGRI NIH HHS R00 HG008175NHGRI NIH HHS R01 HG007078NHLBI NIH HHS U54 HL108460NIAID NIH HHS U24 AI117966NIGMS NIH HHS R01 GM114612NLM NIH HHS R00 LM011392NLM NIH HHS R21 LM012060
6 · The paper itself

Abstract

In this paper we proposed a framework: PRivacy-preserving EstiMation of Individual admiXture (PREMIX) using Intel software guard extensions (SGX). SGX is a suite of software and hardware architectures to enable efficient and secure computation over confidential data. PREMIX enables multiple sites to securely collaborate on estimating individual admixture within a secure enclave inside Intel SGX. We implemented a feature selection module to identify most discriminative Single Nucleotide Polymorphism (SNP) based on informativeness and an Expectation Maximization (EM)-based Maximum Likelihood estimator to identify the individual admixture. Experimental results based on both simulation and 1000 genome data demonstrated the efficiency and accuracy of the proposed framework. PREMIX ensures a high level of security as all operations on sensitive genomic data are conducted within a secure enclave using SGX.

Indexed as

Genetic PrivacyPolymorphism, Single NucleotideSoftwareAlgorithmsData AnonymizationGenomicsHumansLikelihood FunctionsRacial Groups

Identifiers

PMID28269933
PMCPMC5333197

What OpenQuestion holds

Textmetadata
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.