Accessing an expanded exposure science module at the comparative toxicogenomics database

Environmental Health Perspectives

Volumn 126, Issue 1, 2018, Pages

  Grondin, Cynthia J ^a   Davis, Allan Peter ^a   Wiegers, Thomas C ^a   Wiegers, Jolene A ^a   Mattingly, Carolyn J ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION; ARTICLE; CARDIOVASCULAR DISEASE; COMPARATIVE TOXICOGENOMICS DATABASE; DATA BASE; ENVIRONMENTAL EXPOSURE; GENE INTERACTION; GENE ONTOLOGY; GENETIC DISORDER; GENOMICS; MULTIPLE CHOICE TEST; PHENOTYPE; PRIORITY JOURNAL; RESPIRATORY TRACT DISEASE; FACTUAL DATABASE; HUMAN; TOXICOGENETICS;

DATABASES, FACTUAL; ENVIRONMENTAL EXPOSURE; GENE ONTOLOGY; HUMANS; PHENOTYPE; TOXICOGENETICS;

EID: 85041382899     PISSN: 00916765     EISSN: 15529924     Source Type: Journal    
DOI: 10.1289/EHP2873     Document Type: Article

References (15)

1. Ankley GT, Bennett RS, Erickson RJ, Hoff DJ, Hornung MW, Johnson RD, et al. 2010. Adverse outcome pathways: a conceptual framework to support ecotoxi-cology research and risk assessment. Environ Toxicol Chem 29(3):730–741, PMID: 20821501, https://doi.org/10.1002/etc.34.
2. Davis AP, Grondin CJ, Johnson RJ, Sciaky D, King BL, McMorran R, et al. 2017. The comparative toxicogenomics database: update 2017. Nucleic Acids Res 45(D1):D972–D978, PMID: 27651457, https://doi.org/10.1093/nar/gkw838.
3. Davis AP, Grondin CJ, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, King BL, et al. 2015. The comparative toxicogenomics database's 10th year anniversary: update 2015. Nucleic Acids Res 43(Database issue):D914–D920, PMID: 25326323, https://doi.org/10.1093/nar/gku935.
4. Davis AP, Murphy CG, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Mattingly CJ. 2009. Comparative toxicogenomics database: a knowledgebase and discovery tool for chemical-gene-disease networks. Nucleic Acids Res 37(Database issue):D786–D792, PMID: 18782832, https://doi.org/10.1093/nar/gkn580.
5. Davis AP, Wiegers TC, Johnson RJ, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, et al. 2013. Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database. PLoS One 8(4):e58201, PMID: 23613709, https://doi.org/10.1371/journal.pone.0058201.
6. Davis AP, Wiegers TC, King BL, Wiegers J, Grondin CJ, Sciaky D, et al. 2016. Generating gene ontology-disease inferences to explore mechanisms of human disease at the comparative toxicogenomics database. PLoS One 11(5): e0155530, PMID: 27171405, https://doi.org/10.1371/journal.pone.0155530.
7. Davis AP, Wiegers TC, Rosenstein MC, Murphy CG, Mattingly CJ. 2011. The curation paradigm and application tool used for manual curation of the scientific literature at the comparative toxicogenomics database. Database (Oxford) 2011: bar034, PMID: 21933848, https://doi.org/10.1093/database/bar034.
8. Escher BI, Hackermüller J, Polte T, Scholz S, Aigner A, Altenburger R, et al. 2017. From the exposome to mechanistic understanding of chemical-induced adverse effects. Environ Int 99:97–106, PMID: 27939949, https://doi.org/10.1016/j.envint. 2016.11.029.
9. Gallo V, Egger M, McCormack V, Farmer PB, Ioannidis JP, Kirsch-Volders M, et al. 2011. STrengthening the reporting of observational studies in epidemiology– molecular epidemiology (STROBE-ME): an extension of the STROBE statement. PLoS Med 8(10):e1001117, PMID: 22039356, https://doi.org/10.1371/journal.pmed. 1001117.
10. Grondin CJ, Davis AP, Wiegers TC, King BL, Wiegers JA, Reif DM, et al. 2016. Advancing exposure science through chemical data curation and integration in the comparative toxicogenomics database. Environ Health Perspect 124(10):1592–1599, PMID: 27170236, https://doi.org/10.1289/EHP174.
11. Mattingly CJ, McKone TE, Callahan MA, Blake JA, Hubal EA. 2012. Providing the missing link: the exposure science ontology ExO. Environ Sci Technol 46(6):3046– 3053, PMID: 22324457, https://doi.org/10.1021/es2033857.
12. Stingone JA, Buck Louis GM, Nakayama SF, Vermeulen RC, Kwok RK, Cui Y, et al. 2017. Toward greater implementation of the exposome research paradigm within environmental epidemiology. Annu Rev Public Health 38:315–327, PMID: 28125387, https://doi.org/10.1146/annurev-publhealth-082516-012750.
13. Vinken M. 2016. Adverse outcome pathways as tools to assess drug-induced toxicity. Methods Mol Biol 1425:325–337, PMID: 27311472, https://doi.org/10. 1007/978-1-4939-3609-0_14.
14. Wild CP. 2005. Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev 14(8):1847–1850, PMID: 16103423, https://doi.org/10.1158/1055-9965.EPI-05-0456.
15. Zhang F, Li L, Krafft T, Lv J, Wang W, Pei D. 2011. Study on the association between ambient air pollution and daily cardiovascular and respiratory mortality in an urban district of Beijing. Int J Environ Res Public Health 8(6):2109– 2123, PMID: 21776219, https://doi.org/10.3390/ijerph8062109.