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Review
. 2020 Jul;36(7):499-509.
doi: 10.1016/j.tig.2020.04.001. Epub 2020 Apr 30.

Using Genetic and Species Diversity to Tackle Kidney Disease

Affiliations
Review

Using Genetic and Species Diversity to Tackle Kidney Disease

Michael R Garrett et al. Trends Genet. 2020 Jul.

Abstract

Progress in the identification of causal genes and understanding of the mechanism underlying kidney disease is hindered by the almost exclusive use of a few animal models with restrictive monogenic backgrounds that may be more resistant to kidney disease compared with humans and, therefore, poor models. Exploring the large genetic diversity in classical animal models, such as mice and rats, and leveraging species diversity will allow us to use the genetic advantages of zebrafish, Drosophila, and other species, to develop both new animal models that are more relevant to the study of human kidney disease and potential therapies.

Keywords: animal model; genetic diversity; kidney.

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Figures

Figure 1.
Figure 1.
Genetic and Species Diversity to Study Human Kidney Disease. Animal models provide a rich source of both genetic and phenotypic variability, similar to the human population. (A) By taking advantage of the unique qualities of each animal model and genetic diversity within those models, advances in understanding physiology, mechanisms, and genes underlying kidney disease can lead to new therapeutics. (B) The integration of physiological and genetic information across all species will provide a more complete picture of kidney structure and function than the study of any one model, even humans.
Figure 1.
Figure 1.
Genetic and Species Diversity to Study Human Kidney Disease. Animal models provide a rich source of both genetic and phenotypic variability, similar to the human population. (A) By taking advantage of the unique qualities of each animal model and genetic diversity within those models, advances in understanding physiology, mechanisms, and genes underlying kidney disease can lead to new therapeutics. (B) The integration of physiological and genetic information across all species will provide a more complete picture of kidney structure and function than the study of any one model, even humans.
Figure 2.
Figure 2.
The Power of Genetic Mapping using Diversity Outbred (DO) Mice and Heterogeneous Stock (HS) Rats. Both DO and HS models offer unique resources to map traits involved in complex disease, including kidney disease. Each population was derived by selecting eight genetically diverse inbred strains and subsequent outbreeding for many generations. Each animal from this unique resource has a unique combination of the eight founder genome and both populations show a much greater phenotypic diversity than what we observe in the founder strains. As such, these outbred rodent populations can be viewed as similar to human populations as they exhibit diverse phenotypes, including susceptibility or resistance to kidney disease, with ability to define their underlying genetic basis with high resolution using GWAS techniques.

References

    1. Wuttke M et al. (2019) A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat Genet 51, 957–972 - PMC - PubMed
    1. Xu X et al. (2018) Molecular insights into genome-wide association studies of chronic kidney disease-defining traits. Nature Communications 9, 4800–12 - PMC - PubMed
    1. Wuttke M and Köttgen A (2016) Insights into kidney diseases from genome-wide association studies. Nat Rev Nephrol 12, 549–562 - PubMed
    1. Pattaro C et al. (2016) Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nature Communications 7, 10023 - PMC - PubMed
    1. Gorski M et al. (2017) 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci Rep 7, 45040–11 - PMC - PubMed

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