1.

Record Nr.

UNINA9910967991303321

Titolo

Applications of toxicogenomic technologies to predictive toxicology and risk assessment / / Committee on Applications of Toxicogenomic Technologies to Predictive Toxicology ; Board on Environmental Studies and Toxicology ; Board on Life Studies ; Division on Earth and Life Studies ; National Research Council of the National Academies

Pubbl/distr/stampa

Washington, D.C., : National Academies Press, c2007

ISBN

9786611109905

9780309178891

0309178894

9781281109903

1281109908

9780309112994

0309112990

Edizione

[1st ed.]

Descrizione fisica

1 online resource (299 p.)

Disciplina

616/.042

Soggetti

Genetic toxicology

DNA microarrays - Statistical methods

Health risk assessment

Carcinogenesis

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Toxicogenomic technologies -- Experimental design and data analysis -- Application to exposure assessment -- Application to hazard screening -- Application to analyzing variation in human susceptibility -- Application to the study of mechanisms of action -- Other potential applications of toxicogenomic technologies to risk assessment -- Validation -- Sample and data collection and analysis -- Ethical, legal, and social issues -- Conculsions and recommendations.

Sommario/riassunto

The new field of toxicogenomics presents a potentially powerful set of tools to better understand the health effects of exposures to toxicants



in the environment. At the request of the National Institute of Environmental Health Sciences, the National Research Council assembled a committee to identify the benefits of toxicogenomics, the challenges to achieving them, and potential approaches to overcoming such challenges. The report concludes that realizing the potential of toxicogenomics to improve public health decisions will require a concerted effort to generate data, make use of existing data, and study data in new ways--an effort requiring funding, interagency coordination, and data management strategies.