Literature DB >> 11323187

Experimental approaches to the determination of genetic variability.

M F Festing1.   

Abstract

Toxicology is concerned with the interaction between xenobiotics and biological molecules directly or indirectly coded in the DNA, and can be regarded as a branch of genetics. There is genetic variation in these interactions, which has important implications for risk assessment and because it can be used as a tool in studying toxic mechanisms. The genetics of susceptibility can be studied by forward or reverse genetics. Forward genetics involves working from an observed phenotype such as susceptibility to a particular xenobiotic and identifying the susceptibility genes. Often, this involves mapping and identifying quantitative trait loci, as most toxic responses have a polygenic mode of inheritance. The use of inbred strains is almost essential. Reverse genetics involves starting with a known genetic polymorphism and determining its effects on the response to xenobiotics. Studies of 'knockout' animals are a good example, although there are many naturally occurring polymorphisms that may affect toxic responses. In both cases, care has to be taken to ensure that the genetic background is carefully controlled in any comparison between animals thought to be carrying susceptible and resistant alleles.

Mesh:

Year:  2001        PMID: 11323187     DOI: 10.1016/s0378-4274(01)00281-8

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  4 in total

1.  Introduction to mammalian genome special issue: the combined role of genetics and environment relevant to human disease outcomes.

Authors:  Ivan Rusyn; Steven R Kleeberger; Kimberly A McAllister; John E French; Karen L Svenson
Journal:  Mamm Genome       Date:  2018-02       Impact factor: 2.957

Review 2.  Toxicogenetics: population-based testing of drug and chemical safety in mouse models.

Authors:  Ivan Rusyn; Daniel M Gatti; Timothy Wiltshire; Timothy Wilshire; Steven R Kleeberger; David W Threadgill
Journal:  Pharmacogenomics       Date:  2010-08       Impact factor: 2.533

3.  Population-based discovery of toxicogenomics biomarkers for hepatotoxicity using a laboratory strain diversity panel.

Authors:  Alison H Harrill; Pamela K Ross; Daniel M Gatti; David W Threadgill; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2009-05-06       Impact factor: 4.849

4.  Peanut butter as an alternative dose delivery method to prevent strain-dependent orogastric gavage-induced stress in mouse teratogenicity studies.

Authors:  Melanie R Warren; Andreea Radulescu; Peter Dornbos; Danila Cuomo; Shelby Zumwalt; Diana Bueso-Mendoza; Megan Nitcher; John J LaPres; David W Threadgill
Journal:  J Pharmacol Toxicol Methods       Date:  2020-12-30       Impact factor: 2.285

  4 in total

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