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Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease
Genome-wide association studies are widely used to identify “disease genes” conferring resistance/susceptibility to infectious diseases. Using a combination of mathematical models and simulations, we demonstrate that genetic interactions between hosts and parasites [genotype-by-genotype (G × G) inte...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788537/ https://www.ncbi.nlm.nih.gov/pubmed/29223971 http://dx.doi.org/10.1534/genetics.117.300481 |
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author | MacPherson, Ailene Otto, Sarah P. Nuismer, Scott L. |
author_facet | MacPherson, Ailene Otto, Sarah P. Nuismer, Scott L. |
author_sort | MacPherson, Ailene |
collection | PubMed |
description | Genome-wide association studies are widely used to identify “disease genes” conferring resistance/susceptibility to infectious diseases. Using a combination of mathematical models and simulations, we demonstrate that genetic interactions between hosts and parasites [genotype-by-genotype (G × G) interactions] can drastically affect the results of these association scans and hamper our ability to detect genetic variation in susceptibility. When hosts and parasites coevolve, these G × G interactions often make genome-wide association studies unrepeatable over time or across host populations. Reanalyzing previously published data on Daphnia magna susceptibility to infection by Pasteuria ramosa, we identify genomic regions consistent with G × G interactions. We conclude by outlining possible avenues for designing more powerful and more repeatable association studies. |
format | Online Article Text |
id | pubmed-5788537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-57885372018-01-30 Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease MacPherson, Ailene Otto, Sarah P. Nuismer, Scott L. Genetics Investigations Genome-wide association studies are widely used to identify “disease genes” conferring resistance/susceptibility to infectious diseases. Using a combination of mathematical models and simulations, we demonstrate that genetic interactions between hosts and parasites [genotype-by-genotype (G × G) interactions] can drastically affect the results of these association scans and hamper our ability to detect genetic variation in susceptibility. When hosts and parasites coevolve, these G × G interactions often make genome-wide association studies unrepeatable over time or across host populations. Reanalyzing previously published data on Daphnia magna susceptibility to infection by Pasteuria ramosa, we identify genomic regions consistent with G × G interactions. We conclude by outlining possible avenues for designing more powerful and more repeatable association studies. Genetics Society of America 2018-02 2017-12-08 /pmc/articles/PMC5788537/ /pubmed/29223971 http://dx.doi.org/10.1534/genetics.117.300481 Text en Copyright © 2018 by the Genetics Society of America Available freely online through the author-supported open access option. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations MacPherson, Ailene Otto, Sarah P. Nuismer, Scott L. Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease |
title | Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease |
title_full | Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease |
title_fullStr | Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease |
title_full_unstemmed | Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease |
title_short | Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease |
title_sort | keeping pace with the red queen: identifying the genetic basis of susceptibility to infectious disease |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788537/ https://www.ncbi.nlm.nih.gov/pubmed/29223971 http://dx.doi.org/10.1534/genetics.117.300481 |
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