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Modeling Genetic Susceptibility to Disease
As we transition to an era of personalized medicine, it has become imperative to integrate genomics with pharmacological and toxicological discoveries to provide individualized care to patients. Animal models are extremely important in understanding this interface as well as in bridging the gap betw...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152220/ http://dx.doi.org/10.1016/B978-0-12-801238-3.95609-5 |
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author | Veith, A.C. Chu, C. Moorthy, B. |
author_facet | Veith, A.C. Chu, C. Moorthy, B. |
author_sort | Veith, A.C. |
collection | PubMed |
description | As we transition to an era of personalized medicine, it has become imperative to integrate genomics with pharmacological and toxicological discoveries to provide individualized care to patients. Animal models are extremely important in understanding this interface as well as in bridging the gap between basic science discoveries and clinical medicine. The complex nature of pharmacological and toxicological research involving exposure to xenobiotic and therapeutic compounds necessitates the use of animal models to better understand how these compounds interact with multiple organ systems and cell types. As genomics has expanded, we have become increasingly aware of the impact an individual’s genetic makeup influences these responses. Novel methods have emerged that allow for the rapid development of animal models containing mutant alleles, allowing investigators to model these complex genetic interactions in a dramatically shortened timeline. In this chapter, we emphasize the methods and approaches that can be used in gene targeting, screening strategies, and a variety of genetically modified model organisms. The goal is to provide toxicologists an up to date review on the creation of genetically engineered animal models, which can be used to model genetic susceptibility to disease. |
format | Online Article Text |
id | pubmed-7152220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71522202020-04-13 Modeling Genetic Susceptibility to Disease Veith, A.C. Chu, C. Moorthy, B. Comprehensive Toxicology Article As we transition to an era of personalized medicine, it has become imperative to integrate genomics with pharmacological and toxicological discoveries to provide individualized care to patients. Animal models are extremely important in understanding this interface as well as in bridging the gap between basic science discoveries and clinical medicine. The complex nature of pharmacological and toxicological research involving exposure to xenobiotic and therapeutic compounds necessitates the use of animal models to better understand how these compounds interact with multiple organ systems and cell types. As genomics has expanded, we have become increasingly aware of the impact an individual’s genetic makeup influences these responses. Novel methods have emerged that allow for the rapid development of animal models containing mutant alleles, allowing investigators to model these complex genetic interactions in a dramatically shortened timeline. In this chapter, we emphasize the methods and approaches that can be used in gene targeting, screening strategies, and a variety of genetically modified model organisms. The goal is to provide toxicologists an up to date review on the creation of genetically engineered animal models, which can be used to model genetic susceptibility to disease. 2018 2017-11-27 /pmc/articles/PMC7152220/ http://dx.doi.org/10.1016/B978-0-12-801238-3.95609-5 Text en Copyright © 2018 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Veith, A.C. Chu, C. Moorthy, B. Modeling Genetic Susceptibility to Disease |
title | Modeling Genetic Susceptibility to Disease |
title_full | Modeling Genetic Susceptibility to Disease |
title_fullStr | Modeling Genetic Susceptibility to Disease |
title_full_unstemmed | Modeling Genetic Susceptibility to Disease |
title_short | Modeling Genetic Susceptibility to Disease |
title_sort | modeling genetic susceptibility to disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152220/ http://dx.doi.org/10.1016/B978-0-12-801238-3.95609-5 |
work_keys_str_mv | AT veithac modelinggeneticsusceptibilitytodisease AT chuc modelinggeneticsusceptibilitytodisease AT moorthyb modelinggeneticsusceptibilitytodisease |