Literature DB >> 20704464

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

Ivan Rusyn1, Daniel M Gatti, Timothy Wiltshire, Timothy Wilshire, Steven R Kleeberger, David W Threadgill.   

Abstract

The rapid decline in the cost of dense genotyping is paving the way for new DNA sequence-based laboratory tests to move quickly into clinical practice, and to ultimately help realize the promise of 'personalized' therapies. These advances are based on the growing appreciation of genetics as an important dimension in science and the practice of investigative pharmacology and toxicology. On the clinical side, both the regulators and the pharmaceutical industry hope that the early identification of individuals prone to adverse drug effects will keep advantageous medicines on the market for the benefit of the vast majority of prospective patients. On the environmental health protection side, there is a clear need for better science to define the range and causes of susceptibility to adverse effects of chemicals in the population, so that the appropriate regulatory limits are established. In both cases, most of the research effort is focused on genome-wide association studies in humans where de novo genotyping of each subject is required. At the same time, the power of population-based preclinical safety testing in rodent models (e.g., mouse) remains to be fully exploited. Here, we highlight the approaches available to utilize the knowledge of DNA sequence and genetic diversity of the mouse as a species in mechanistic toxicology research. We posit that appropriate genetically defined mouse models may be combined with the limited data from human studies to not only discover the genetic determinants of susceptibility, but to also understand the molecular underpinnings of toxicity.

Entities:  

Mesh:

Year:  2010        PMID: 20704464      PMCID: PMC3035927          DOI: 10.2217/pgs.10.100

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  83 in total

1.  Genome-wide approaches to identify pharmacogenetic contributions to adverse drug reactions.

Authors:  M R Nelson; S-A Bacanu; M Mosteller; L Li; C E Bowman; A D Roses; E H Lai; M G Ehm
Journal:  Pharmacogenomics J       Date:  2008-02-26       Impact factor: 3.550

2.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

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Authors:  Leonid Bystrykh; Ellen Weersing; Bert Dontje; Sue Sutton; Mathew T Pletcher; Tim Wiltshire; Andrew I Su; Edo Vellenga; Jintao Wang; Kenneth F Manly; Lu Lu; Elissa J Chesler; Rudi Alberts; Ritsert C Jansen; Robert W Williams; Michael P Cooke; Gerald de Haan
Journal:  Nat Genet       Date:  2005-02-13       Impact factor: 38.330

Review 4.  Molecular networks as sensors and drivers of common human diseases.

Authors:  Eric E Schadt
Journal:  Nature       Date:  2009-09-10       Impact factor: 49.962

Review 5.  Alcohol and genetics: new models.

Authors:  John C Crabbe
Journal:  Am J Med Genet       Date:  2002-12-08

6.  Chloroform inhalation exposure conditions necessary to initiate liver toxicity in female B6C3F1 mice.

Authors:  Alexander A Constan; Brian A Wong; Jeffrey I Everitt; Byron E Butterworth
Journal:  Toxicol Sci       Date:  2002-04       Impact factor: 4.849

7.  Genetic and haplotype diversity among wild-derived mouse inbred strains.

Authors:  Folami Y Ideraabdullah; Elena de la Casa-Esperón; Timothy A Bell; David A Detwiler; Terry Magnuson; Carmen Sapienza; Fernando Pardo-Manuel de Villena
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

Review 8.  Genetic determinants of drug response in heart failure.

Authors:  Brian D Lowes; Peter M Buttrick
Journal:  Curr Cardiol Rep       Date:  2008-05       Impact factor: 2.931

9.  Response to acute ozone exposure in healthy men. Results of a screening procedure.

Authors:  G G Weinmann; S M Bowes; M W Gerbase; A W Kimball; R Frank
Journal:  Am J Respir Crit Care Med       Date:  1995-01       Impact factor: 21.405

10.  Activation of inflammation/NF-kappaB signaling in infants born to arsenic-exposed mothers.

Authors:  Rebecca C Fry; Panida Navasumrit; Chandni Valiathan; J Peter Svensson; Bradley J Hogan; Manlin Luo; Sanchita Bhattacharya; Krittinee Kandjanapa; Sumitra Soontararuks; Sumontha Nookabkaew; Chulabhorn Mahidol; Mathuros Ruchirawat; Leona D Samson
Journal:  PLoS Genet       Date:  2007-11       Impact factor: 5.917

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  28 in total

1.  Host genetics and gut microbiota cooperatively contribute to azoxymethane-induced acute toxicity in Collaborative Cross mice.

Authors:  Chenhan Zhong; Li He; Sun-Young Lee; Hang Chang; Yuqing Zhang; David W Threadgill; Ying Yuan; Fuling Zhou; Susan E Celniker; Yankai Xia; Antoine M Snijders; Jian-Hua Mao
Journal:  Arch Toxicol       Date:  2021-01-17       Impact factor: 5.153

2.  Incorporation of the glutathione conjugation pathway in an updated physiologically-based pharmacokinetic model for perchloroethylene in mice.

Authors:  Chimeddulam Dalaijamts; Joseph A Cichocki; Yu-Syuan Luo; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol Appl Pharmacol       Date:  2018-05-29       Impact factor: 4.219

3.  Quantitative high-throughput screening for chemical toxicity in a population-based in vitro model.

Authors:  Eric F Lock; Nour Abdo; Ruili Huang; Menghang Xia; Oksana Kosyk; Shannon H O'Shea; Yi-Hui Zhou; Alexander Sedykh; Alexander Tropsha; Christopher P Austin; Raymond R Tice; Fred A Wright; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2012-01-19       Impact factor: 4.849

Review 4.  Incorporating population-level genetic variability within laboratory models in toxicology: From the individual to the population.

Authors:  Peter Dornbos; John J LaPres
Journal:  Toxicology       Date:  2017-12-21       Impact factor: 4.221

5.  Genetic and epigenetic determinants of inter-individual variability in responses to toxicants.

Authors:  Lauren Lewis; Gregory E Crawford; Terrence S Furey; Ivan Rusyn
Journal:  Curr Opin Toxicol       Date:  2017-09-12

6.  Genome-wide association mapping of loci for antipsychotic-induced extrapyramidal symptoms in mice.

Authors:  James J Crowley; Yunjung Kim; Jin Peng Szatkiewicz; Amanda L Pratt; Corey R Quackenbush; Daniel E Adkins; Edwin van den Oord; Molly A Bogue; Hyuna Yang; Wei Wang; David W Threadgill; Fernando Pardo-Manuel de Villena; Howard L McLeod; Patrick F Sullivan
Journal:  Mamm Genome       Date:  2011-12-30       Impact factor: 2.957

7.  PBPK modeling of impact of nonalcoholic fatty liver disease on toxicokinetics of perchloroethylene in mice.

Authors:  Chimeddulam Dalaijamts; Joseph A Cichocki; Yu-Syuan Luo; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol Appl Pharmacol       Date:  2020-05-21       Impact factor: 4.219

8.  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

9.  Advancing chemical risk assessment decision-making with population variability data: challenges and opportunities.

Authors:  Weihsueh A Chiu; Ivan Rusyn
Journal:  Mamm Genome       Date:  2018-01-03       Impact factor: 2.957

10.  Epigenetic mechanisms of mouse interstrain variability in genotoxicity of the environmental toxicant 1,3-butadiene.

Authors:  Igor Koturbash; Anne Scherhag; Jessica Sorrentino; Kenneth Sexton; Wanda Bodnar; James A Swenberg; Frederick A Beland; Fernando Pardo-Manuel Devillena; Ivan Rusyn; Igor P Pogribny
Journal:  Toxicol Sci       Date:  2011-05-20       Impact factor: 4.849

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