Analysis of Disease Enrichment in Exposome-related Data Resources

Guillermo Lopez Campos; Philip Kiossoglou; F J Martin-Sanchez; J. Seoane

Analysis of Disease Enrichment in Exposome-related Data Resources

Guillermo Lopez Campos, Philip Kiossoglou, F J Martin-Sanchez, J. Seoane

School of Medicine, Dentistry and Biomedical Sciences

Research output: Contribution to conference › Poster › peer-review

Abstract

The Exposome offers a useful research approach for biomedical informatics as it relate environmental exposures with disease phenotypes in the context of precision medicine. In this work, we have analysed the disease enrichment in two exposome-related resources, T3DB database and the list of compounds analysed by the My Exposome wristband wearable, comparing them with the disease annotations available at the Comparative Toxicogenomics Database (CTD), identifying different disease enrichment in both resources

Original language	English
Publication status	Published - 2018
Event	AMIA 2018 Informatics Summit: AMIA 2018 Informatics Summit: Translational, Clinical Research, Implementation, and Data Science - Hotel Park 55, San Francisco, United States Duration: 12 Mar 2018 → 15 Mar 2018 https://www.amia.org/2018-informatics-summit

Conference

Conference	AMIA 2018 Informatics Summit
Country/Territory	United States
City	San Francisco
Period	12/03/2018 → 15/03/2018
Internet address	https://www.amia.org/2018-informatics-summit

Keywords

Translational bioinformatics
Exposome informatics
Data Science
Precision Me

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https://informaticssummit2018.zerista.com/event/member?item_id=7574682

Cite this

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title = "Analysis of Disease Enrichment in Exposome-related Data Resources",

abstract = " The Exposome offers a useful research approach for biomedical informatics as it relate environmental exposures with disease phenotypes in the context of precision medicine. In this work, we have analysed the disease enrichment in two exposome-related resources, T3DB database and the list of compounds analysed by the My Exposome wristband wearable, comparing them with the disease annotations available at the Comparative Toxicogenomics Database (CTD), identifying different disease enrichment in both resources",

keywords = "Translational bioinformatics, Exposome informatics, Data Science, Precision Me",

author = "{Lopez Campos}, Guillermo and Philip Kiossoglou and Martin-Sanchez, {F J} and J. Seoane",

year = "2018",

language = "English",

note = "AMIA 2018 Informatics Summit : AMIA 2018 Informatics Summit: Translational, Clinical Research, Implementation, and Data Science ; Conference date: 12-03-2018 Through 15-03-2018",

url = "https://www.amia.org/2018-informatics-summit",

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TY - CONF

T1 - Analysis of Disease Enrichment in Exposome-related Data Resources

AU - Lopez Campos, Guillermo

AU - Kiossoglou, Philip

AU - Martin-Sanchez, F J

AU - Seoane, J.

PY - 2018

Y1 - 2018

N2 - The Exposome offers a useful research approach for biomedical informatics as it relate environmental exposures with disease phenotypes in the context of precision medicine. In this work, we have analysed the disease enrichment in two exposome-related resources, T3DB database and the list of compounds analysed by the My Exposome wristband wearable, comparing them with the disease annotations available at the Comparative Toxicogenomics Database (CTD), identifying different disease enrichment in both resources

AB - The Exposome offers a useful research approach for biomedical informatics as it relate environmental exposures with disease phenotypes in the context of precision medicine. In this work, we have analysed the disease enrichment in two exposome-related resources, T3DB database and the list of compounds analysed by the My Exposome wristband wearable, comparing them with the disease annotations available at the Comparative Toxicogenomics Database (CTD), identifying different disease enrichment in both resources

KW - Translational bioinformatics

KW - Exposome informatics

KW - Data Science

KW - Precision Me

M3 - Poster

T2 - AMIA 2018 Informatics Summit

Y2 - 12 March 2018 through 15 March 2018

ER -

Analysis of Disease Enrichment in Exposome-related Data Resources

Abstract

Conference

Keywords

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Cite this