Integrating mechanistic and polymorphism data to characterize human genetic susceptibility for environmental chemical risk assessment in the 21st century.
Toxicol Appl Pharmacol
; 271(3): 395-404, 2013 Sep 15.
Article
em En
| MEDLINE
| ID: mdl-21291902
Palavras-chave
-omics; ACToR; Aggregated Computational Toxicology Resources; Bioinformatics; CNV; Copy Number Variant; Diabetes Type 2; EGP; EPA's chemical prioritization research program; EWAS; Environment-Wide Association Study; GWAS; Genome-Wide Association Study; HT/HC; HTS; HapMap; High-throughput screening; High-throughput/High content; Human genetic variation; IRIS; Integrated Risk Information System; International Haplotype Map (HapMap) Project; MOA; Mode of action; NAS; NCBI; NIEHS; NIEHS-Environmental Genome Project; NR; National Academy of Sciences; National Center for Biotechnology; National Institute of Environmental Health Sciences; Nuclear Receptor; PDR; Polymorphism Discovery Resource; Reference Concentration; Reference Dose; RfC; RfD; SNP; Single Nucleotide Polymorphism; Single Nucleotide Polymorphism Database; Susceptibility; TD; TD2; TK; TSS; ToxCast; Toxicity pathway; Toxicodynamics; Toxicokinetics; Transcription Start Site; UF; US EPA; US Environmental Protection Agency; Uncertainty/Variability Factor; dbSNP; neologism relating multiple fields in biology that end in -omics (e.g., genomics, transciptomics, proteomics, metabolomics)
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Bases de Dados Factuais
/
Predisposição Genética para Doença
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Poluentes Ambientais
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article