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Data from: Keeping pace with the Red Queen: identifying the genetic basis of susceptibility to infectious disease MacPherson, Ailene; Otto, Sarah P.; Nuismer, Scott L.

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Abstract
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 (GxG 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 GxG 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 Pastueria ramosa, we identify genomic regions consistent with GxG interactions. We conclude by outlining possible avenues for designing more powerful and more repeatable association studies.
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CoGWAS_Supplement

Item Metadata

Title	Data from: Keeping pace with the Red Queen: identifying the genetic basis of susceptibility to infectious disease
Creator	MacPherson, Ailene; Otto, Sarah P.; Nuismer, Scott L.
Date Issued	2021-05-19
Description	Abstract 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 (GxG 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 GxG 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 Pastueria ramosa, we identify genomic regions consistent with GxG interactions. We conclude by outlining possible avenues for designing more powerful and more repeatable association studies.; Usage notes CoGWAS_Supplement
Subject	Other; genome wide association study; Coevolution; resistance
Type	Dataset
Notes	Dryad version number: 2 Version status: submitted Dryad curation status: Published Sharing link: https://datadryad.org/stash/share/coQ0Qcs2QBA0yo8VulKE8vJh8Thxk3zREsdXcmALwUw</p> Storage size: 2827050 Visibility: public
Date Available	2020-06-24
Provider	University of British Columbia Library
License	CC0 1.0
DOI	10.14288/1.0398007
URI	https://doi.org/10.5683/SP2/XSM3JX
Publisher DOI	https://doi.org/10.5683/SP2/XSM3JX; https://doi.org/10.5061/dryad.tb25q
Rights URI	http://creativecommons.org/publicdomain/zero/1.0
Aggregated Source Repository	Dataverse

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