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dc.contributor.author
Eduati, Federica
dc.contributor.author
Mangravite, Lara M.
dc.contributor.author
Wang, Tao
dc.contributor.author
Tang, Hao
dc.contributor.author
Bare, J.C.
dc.contributor.author
Huang, Ruili
dc.contributor.author
Norman, Thea
dc.contributor.author
Kellen, Mike
dc.contributor.author
Menden, Michael P.
dc.contributor.author
Yang, Jichen
dc.contributor.author
Zhan, Xiaowei
dc.contributor.author
Zhong, Rui
dc.contributor.author
Xiao, Guanghua
dc.contributor.author
Xia, Menghang
dc.contributor.author
Abdo, Nour
dc.contributor.author
Kosyk, Oksana
dc.contributor.author
The NIEHS-NCATS-UNC DREAM Toxicogenetics Collaboration
dc.contributor.author
Friend, Stephen
dc.contributor.author
Dearry, Allen
dc.contributor.author
Simeonov, Anton
dc.contributor.author
Tice, Raymond R.
dc.contributor.author
Rusyn, Ivan
dc.contributor.author
Wright, Fred A.
dc.contributor.author
Stolovitzky, Gustavo
dc.contributor.author
Xie, Yang
dc.contributor.author
Saez-Rodriguez, Julio
dc.date.accessioned
2018-08-30T09:23:41Z
dc.date.available
2017-06-11T22:38:06Z
dc.date.available
2018-08-30T09:23:41Z
dc.date.issued
2015-09
dc.identifier.issn
1546-1696
dc.identifier.issn
1087-0156
dc.identifier.issn
0733-222X
dc.identifier.other
10.1038/nbt.3299
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/109369
dc.identifier.doi
10.3929/ethz-b-000109369
dc.description.abstract
The ability to computationally predict the effects of toxic compounds on humans could help address the deficiencies of current chemical safety testing. Here, we report the results from a community-based DREAM challenge to predict toxicities of environmental compounds with potential adverse health effects for human populations. We measured the cytotoxicity of 156 compounds in 884 lymphoblastoid cell lines for which genotype and transcriptional data are available as part of the Tox21 1000 Genomes Project. The challenge participants developed algorithms to predict interindividual variability of toxic response from genomic profiles and population-level cytotoxicity data from structural attributes of the compounds. 179 submitted predictions were evaluated against an experimental data set to which participants were blinded. Individual cytotoxicity predictions were better than random, with modest correlations (Pearson's r < 0.28), consistent with complex trait genomic prediction. In contrast, predictions of population-level response to different compounds were higher (r < 0.66). The results highlight the possibility of predicting health risks associated with unknown compounds, although risk estimation accuracy remains suboptimal.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature Publishing Group
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject
Health occupations
en_US
dc.subject
High-throughput screening
en_US
dc.subject
Predictive medicine
en_US
dc.subject
Risk factors
en_US
dc.title
Prediction of human population responses to toxic compounds by a collaborative competition
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
dc.date.published
2015-08-10
ethz.journal.title
Nature Biotechnology
ethz.journal.volume
33
en_US
ethz.journal.issue
9
en_US
ethz.journal.abbreviated
Nat Biotechnol
ethz.pages.start
933
en_US
ethz.pages.end
940
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
001587347
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09486 - Borgwardt, Karsten M. / Borgwardt, Karsten M.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09486 - Borgwardt, Karsten M. / Borgwardt, Karsten M.
ethz.date.deposited
2017-06-11T22:38:26Z
ethz.source
ECIT
ethz.identifier.importid
imp593653e0e866379481
ethz.ecitpid
pub:170449
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T21:37:21Z
ethz.rosetta.lastUpdated
2019-02-03T05:20:42Z
ethz.rosetta.versionExported
true
ethz.COinS
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