Literature DB >> 28130429

Modeling diseases in multiple mouse strains for precision medicine studies.

Andrés D Klein1.   

Abstract

The genetic basis of the phenotypic variability observed in patients can be studied in mice by generating disease models through genetic or chemical interventions in many genetic backgrounds where the clinical phenotypes can be assessed and used for genome-wide association studies (GWAS). This is particularly relevant for rare disorders, where patients sharing identical mutations can present with a wide variety of symptoms, but there are not enough number of patients to ensure statistical power of GWAS. Inbred strains are homozygous for each loci, and their single nucleotide polymorphisms catalogs are known and freely available, facilitating the bioinformatics and reducing the costs of the study, since it is not required to genotype every mouse. This kind of approach can be applied to pharmacogenomics studies as well.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  GWAS; inbred mouse strains; precision medicine

Mesh:

Year:  2017        PMID: 28130429     DOI: 10.1152/physiolgenomics.00123.2016

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  3 in total

Review 1.  Genomics and High-Consequence Infectious Diseases: A Scoping Review of Emerging Science and Potential Ethical Issues.

Authors:  Angie M Boyce; Brian T Garibaldi
Journal:  Health Secur       Date:  2019-02-06

2.  Controversies on the potential therapeutic use of rapamycin for treating a lysosomal cholesterol storage disease.

Authors:  Juan F Calderón; Andrés D Klein
Journal:  Mol Genet Metab Rep       Date:  2018-05-12

Review 3.  Genetic Background Matters: Population-Based Studies in Model Organisms for Translational Research.

Authors:  Valeria Olguín; Anyelo Durán; Macarena Las Heras; Juan Carlos Rubilar; Francisco A Cubillos; Patricio Olguín; Andrés D Klein
Journal:  Int J Mol Sci       Date:  2022-07-08       Impact factor: 6.208

  3 in total

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