Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease
Author(s) -
Ailene MacPherson,
Sarah P. Otto,
Scott L. Nuismer
Publication year - 2017
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.117.300481
Subject(s) - biology , epistasis , genetics , genotype , genome wide association study , genome , genetic association , genetic variation , evolutionary biology , gene , computational biology , single nucleotide polymorphism
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.
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