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Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci

BACKGROUND: Deleterious recessive conditions have been primarily studied in the context of Mendelian diseases. Recently, several deleterious recessive mutations with large effects were discovered via non-additive genome-wide association studies (GWAS) of quantitative growth and developmental traits...

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Autores principales: Reynolds, Edwardo G. M., Lopdell, Thomas, Wang, Yu, Tiplady, Kathryn M., Harland, Chad S., Johnson, Thomas J. J., Neeley, Catherine, Carnie, Katie, Sherlock, Richard G., Couldrey, Christine, Davis, Stephen R., Harris, Bevin L., Spelman, Richard J., Garrick, Dorian J., Littlejohn, Mathew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785530/
https://www.ncbi.nlm.nih.gov/pubmed/35073835
http://dx.doi.org/10.1186/s12711-021-00694-3
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author Reynolds, Edwardo G. M.
Lopdell, Thomas
Wang, Yu
Tiplady, Kathryn M.
Harland, Chad S.
Johnson, Thomas J. J.
Neeley, Catherine
Carnie, Katie
Sherlock, Richard G.
Couldrey, Christine
Davis, Stephen R.
Harris, Bevin L.
Spelman, Richard J.
Garrick, Dorian J.
Littlejohn, Mathew D.
author_facet Reynolds, Edwardo G. M.
Lopdell, Thomas
Wang, Yu
Tiplady, Kathryn M.
Harland, Chad S.
Johnson, Thomas J. J.
Neeley, Catherine
Carnie, Katie
Sherlock, Richard G.
Couldrey, Christine
Davis, Stephen R.
Harris, Bevin L.
Spelman, Richard J.
Garrick, Dorian J.
Littlejohn, Mathew D.
author_sort Reynolds, Edwardo G. M.
collection PubMed
description BACKGROUND: Deleterious recessive conditions have been primarily studied in the context of Mendelian diseases. Recently, several deleterious recessive mutations with large effects were discovered via non-additive genome-wide association studies (GWAS) of quantitative growth and developmental traits in cattle, which showed that quantitative traits can be used as proxies of genetic disorders when such traits are indicative of whole-animal health status. We reasoned that lactation traits in cattle might also reflect genetic disorders, given the increased energy demands of lactation and the substantial stresses imposed on the animal. In this study, we screened more than 124,000 cows for recessive effects based on lactation traits. RESULTS: We discovered five novel quantitative trait loci (QTL) that are associated with large recessive impacts on three milk yield traits, with these loci presenting missense variants in the DOCK8, IL4R, KIAA0556, and SLC25A4 genes or premature stop variants in the ITGAL, LRCH4, and RBM34 genes, as candidate causal mutations. For two milk composition traits, we identified several previously reported additive QTL that display small dominance effects. By contrasting results from milk yield and milk composition phenotypes, we note differing genetic architectures. Compared to milk composition phenotypes, milk yield phenotypes had lower heritabilities and were associated with fewer additive QTL but had a higher non-additive genetic variance and were associated with a higher proportion of loci exhibiting dominance. CONCLUSIONS: We identified large-effect recessive QTL which are segregating at surprisingly high frequencies in cattle. We speculate that the differences in genetic architecture between milk yield and milk composition phenotypes derive from underlying dissimilarities in the cellular and molecular representation of these traits, with yield phenotypes acting as a better proxy of underlying biological disorders through presentation of a larger number of major recessive impacts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-021-00694-3.
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spelling pubmed-87855302022-01-24 Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci Reynolds, Edwardo G. M. Lopdell, Thomas Wang, Yu Tiplady, Kathryn M. Harland, Chad S. Johnson, Thomas J. J. Neeley, Catherine Carnie, Katie Sherlock, Richard G. Couldrey, Christine Davis, Stephen R. Harris, Bevin L. Spelman, Richard J. Garrick, Dorian J. Littlejohn, Mathew D. Genet Sel Evol Research Article BACKGROUND: Deleterious recessive conditions have been primarily studied in the context of Mendelian diseases. Recently, several deleterious recessive mutations with large effects were discovered via non-additive genome-wide association studies (GWAS) of quantitative growth and developmental traits in cattle, which showed that quantitative traits can be used as proxies of genetic disorders when such traits are indicative of whole-animal health status. We reasoned that lactation traits in cattle might also reflect genetic disorders, given the increased energy demands of lactation and the substantial stresses imposed on the animal. In this study, we screened more than 124,000 cows for recessive effects based on lactation traits. RESULTS: We discovered five novel quantitative trait loci (QTL) that are associated with large recessive impacts on three milk yield traits, with these loci presenting missense variants in the DOCK8, IL4R, KIAA0556, and SLC25A4 genes or premature stop variants in the ITGAL, LRCH4, and RBM34 genes, as candidate causal mutations. For two milk composition traits, we identified several previously reported additive QTL that display small dominance effects. By contrasting results from milk yield and milk composition phenotypes, we note differing genetic architectures. Compared to milk composition phenotypes, milk yield phenotypes had lower heritabilities and were associated with fewer additive QTL but had a higher non-additive genetic variance and were associated with a higher proportion of loci exhibiting dominance. CONCLUSIONS: We identified large-effect recessive QTL which are segregating at surprisingly high frequencies in cattle. We speculate that the differences in genetic architecture between milk yield and milk composition phenotypes derive from underlying dissimilarities in the cellular and molecular representation of these traits, with yield phenotypes acting as a better proxy of underlying biological disorders through presentation of a larger number of major recessive impacts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-021-00694-3. BioMed Central 2022-01-24 /pmc/articles/PMC8785530/ /pubmed/35073835 http://dx.doi.org/10.1186/s12711-021-00694-3 Text en © The Author(s) 2022 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 Article
Reynolds, Edwardo G. M.
Lopdell, Thomas
Wang, Yu
Tiplady, Kathryn M.
Harland, Chad S.
Johnson, Thomas J. J.
Neeley, Catherine
Carnie, Katie
Sherlock, Richard G.
Couldrey, Christine
Davis, Stephen R.
Harris, Bevin L.
Spelman, Richard J.
Garrick, Dorian J.
Littlejohn, Mathew D.
Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci
title Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci
title_full Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci
title_fullStr Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci
title_full_unstemmed Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci
title_short Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci
title_sort non-additive qtl mapping of lactation traits in 124,000 cattle reveals novel recessive loci
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785530/
https://www.ncbi.nlm.nih.gov/pubmed/35073835
http://dx.doi.org/10.1186/s12711-021-00694-3
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