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Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections

The laboratory mouse has proved an invaluable model to identify host factors that regulate the progression and outcome of virus-induced disease. The paradigm is to use single-gene knockouts in inbred mouse strains or genetic mapping studies using biparental mouse populations. However, genetic variat...

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Detalles Bibliográficos
Autores principales: Leist, Sarah R., Baric, Ralph S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114642/
https://www.ncbi.nlm.nih.gov/pubmed/30131185
http://dx.doi.org/10.1016/j.tig.2018.07.005
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author Leist, Sarah R.
Baric, Ralph S.
author_facet Leist, Sarah R.
Baric, Ralph S.
author_sort Leist, Sarah R.
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description The laboratory mouse has proved an invaluable model to identify host factors that regulate the progression and outcome of virus-induced disease. The paradigm is to use single-gene knockouts in inbred mouse strains or genetic mapping studies using biparental mouse populations. However, genetic variation among these mouse strains is limited compared with the diversity seen in human populations. To address this disconnect, a multiparental mouse population has been developed to specifically dissect the multigenetic regulation of complex disease traits. The Collaborative Cross (CC) population of recombinant inbred mouse strains is a well-suited systems-genetics tool to identify susceptibility alleles that control viral and microbial infection outcomes and immune responses and to test the promise of personalized medicine.
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spelling pubmed-71146422020-04-02 Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections Leist, Sarah R. Baric, Ralph S. Trends Genet Article The laboratory mouse has proved an invaluable model to identify host factors that regulate the progression and outcome of virus-induced disease. The paradigm is to use single-gene knockouts in inbred mouse strains or genetic mapping studies using biparental mouse populations. However, genetic variation among these mouse strains is limited compared with the diversity seen in human populations. To address this disconnect, a multiparental mouse population has been developed to specifically dissect the multigenetic regulation of complex disease traits. The Collaborative Cross (CC) population of recombinant inbred mouse strains is a well-suited systems-genetics tool to identify susceptibility alleles that control viral and microbial infection outcomes and immune responses and to test the promise of personalized medicine. Elsevier Ltd. 2018-10 2018-08-18 /pmc/articles/PMC7114642/ /pubmed/30131185 http://dx.doi.org/10.1016/j.tig.2018.07.005 Text en © 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
Leist, Sarah R.
Baric, Ralph S.
Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections
title Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections
title_full Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections
title_fullStr Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections
title_full_unstemmed Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections
title_short Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections
title_sort giving the genes a shuffle: using natural variation to understand host genetic contributions to viral infections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114642/
https://www.ncbi.nlm.nih.gov/pubmed/30131185
http://dx.doi.org/10.1016/j.tig.2018.07.005
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