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Dissecting indirect genetic effects from peers in laboratory mice

BACKGROUND: The phenotype of an individual can be affected not only by the individual’s own genotypes, known as direct genetic effects (DGE), but also by genotypes of interacting partners, indirect genetic effects (IGE). IGE have been detected using polygenic models in multiple species, including la...

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Autores principales: Baud, Amelie, Casale, Francesco Paolo, Barkley-Levenson, Amanda M., Farhadi, Nilgoun, Montillot, Charlotte, Yalcin, Binnaz, Nicod, Jerome, Palmer, Abraham A., Stegle, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311926/
https://www.ncbi.nlm.nih.gov/pubmed/34311762
http://dx.doi.org/10.1186/s13059-021-02415-x
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author Baud, Amelie
Casale, Francesco Paolo
Barkley-Levenson, Amanda M.
Farhadi, Nilgoun
Montillot, Charlotte
Yalcin, Binnaz
Nicod, Jerome
Palmer, Abraham A.
Stegle, Oliver
author_facet Baud, Amelie
Casale, Francesco Paolo
Barkley-Levenson, Amanda M.
Farhadi, Nilgoun
Montillot, Charlotte
Yalcin, Binnaz
Nicod, Jerome
Palmer, Abraham A.
Stegle, Oliver
author_sort Baud, Amelie
collection PubMed
description BACKGROUND: The phenotype of an individual can be affected not only by the individual’s own genotypes, known as direct genetic effects (DGE), but also by genotypes of interacting partners, indirect genetic effects (IGE). IGE have been detected using polygenic models in multiple species, including laboratory mice and humans. However, the underlying mechanisms remain largely unknown. Genome-wide association studies of IGE (igeGWAS) can point to IGE genes, but have not yet been applied to non-familial IGE arising from “peers” and affecting biomedical phenotypes. In addition, the extent to which igeGWAS will identify loci not identified by dgeGWAS remains an open question. Finally, findings from igeGWAS have not been confirmed by experimental manipulation. RESULTS: We leverage a dataset of 170 behavioral, physiological, and morphological phenotypes measured in 1812 genetically heterogeneous laboratory mice to study IGE arising between same-sex, adult, unrelated mice housed in the same cage. We develop and apply methods for igeGWAS in this context and identify 24 significant IGE loci for 17 phenotypes (FDR < 10%). We observe no overlap between IGE loci and DGE loci for the same phenotype, which is consistent with the moderate genetic correlations between DGE and IGE for the same phenotype estimated using polygenic models. Finally, we fine-map seven significant IGE loci to individual genes and find supportive evidence in an experiment with a knockout model that Epha4 gives rise to IGE on stress-coping strategy and wound healing. CONCLUSIONS: Our results demonstrate the potential for igeGWAS to identify IGE genes and shed light into the mechanisms of peer influence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02415-x.
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spelling pubmed-83119262021-07-28 Dissecting indirect genetic effects from peers in laboratory mice Baud, Amelie Casale, Francesco Paolo Barkley-Levenson, Amanda M. Farhadi, Nilgoun Montillot, Charlotte Yalcin, Binnaz Nicod, Jerome Palmer, Abraham A. Stegle, Oliver Genome Biol Research BACKGROUND: The phenotype of an individual can be affected not only by the individual’s own genotypes, known as direct genetic effects (DGE), but also by genotypes of interacting partners, indirect genetic effects (IGE). IGE have been detected using polygenic models in multiple species, including laboratory mice and humans. However, the underlying mechanisms remain largely unknown. Genome-wide association studies of IGE (igeGWAS) can point to IGE genes, but have not yet been applied to non-familial IGE arising from “peers” and affecting biomedical phenotypes. In addition, the extent to which igeGWAS will identify loci not identified by dgeGWAS remains an open question. Finally, findings from igeGWAS have not been confirmed by experimental manipulation. RESULTS: We leverage a dataset of 170 behavioral, physiological, and morphological phenotypes measured in 1812 genetically heterogeneous laboratory mice to study IGE arising between same-sex, adult, unrelated mice housed in the same cage. We develop and apply methods for igeGWAS in this context and identify 24 significant IGE loci for 17 phenotypes (FDR < 10%). We observe no overlap between IGE loci and DGE loci for the same phenotype, which is consistent with the moderate genetic correlations between DGE and IGE for the same phenotype estimated using polygenic models. Finally, we fine-map seven significant IGE loci to individual genes and find supportive evidence in an experiment with a knockout model that Epha4 gives rise to IGE on stress-coping strategy and wound healing. CONCLUSIONS: Our results demonstrate the potential for igeGWAS to identify IGE genes and shed light into the mechanisms of peer influence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02415-x. BioMed Central 2021-07-26 /pmc/articles/PMC8311926/ /pubmed/34311762 http://dx.doi.org/10.1186/s13059-021-02415-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Baud, Amelie
Casale, Francesco Paolo
Barkley-Levenson, Amanda M.
Farhadi, Nilgoun
Montillot, Charlotte
Yalcin, Binnaz
Nicod, Jerome
Palmer, Abraham A.
Stegle, Oliver
Dissecting indirect genetic effects from peers in laboratory mice
title Dissecting indirect genetic effects from peers in laboratory mice
title_full Dissecting indirect genetic effects from peers in laboratory mice
title_fullStr Dissecting indirect genetic effects from peers in laboratory mice
title_full_unstemmed Dissecting indirect genetic effects from peers in laboratory mice
title_short Dissecting indirect genetic effects from peers in laboratory mice
title_sort dissecting indirect genetic effects from peers in laboratory mice
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311926/
https://www.ncbi.nlm.nih.gov/pubmed/34311762
http://dx.doi.org/10.1186/s13059-021-02415-x
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