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Genic constraint against nonsynonymous variation across the mouse genome

BACKGROUND: Selective constraint, the depletion of variation due to negative selection, provides insights into the functional impact of variants and disease mechanisms. However, its characterization in mice, the most commonly used mammalian model, remains limited. This study aims to quantify mouse g...

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Autores principales: Powell, George, Simon, Michelle M., Pulit, Sara, Mallon, Ann-Marie, Lindgren, Cecilia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514939/
https://www.ncbi.nlm.nih.gov/pubmed/37736706
http://dx.doi.org/10.1186/s12864-023-09637-2
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author Powell, George
Simon, Michelle M.
Pulit, Sara
Mallon, Ann-Marie
Lindgren, Cecilia M.
author_facet Powell, George
Simon, Michelle M.
Pulit, Sara
Mallon, Ann-Marie
Lindgren, Cecilia M.
author_sort Powell, George
collection PubMed
description BACKGROUND: Selective constraint, the depletion of variation due to negative selection, provides insights into the functional impact of variants and disease mechanisms. However, its characterization in mice, the most commonly used mammalian model, remains limited. This study aims to quantify mouse gene constraint using a new metric called the nonsynonymous observed expected ratio (NOER) and investigate its relationship with gene function. RESULTS: NOER was calculated using whole-genome sequencing data from wild mouse populations (Mus musculus sp and Mus spretus). Positive correlations were observed between mouse gene constraint and the number of associated knockout phenotypes, indicating stronger constraint on pleiotropic genes. Furthermore, mouse gene constraint showed a positive correlation with the number of pathogenic variant sites in their human orthologues, supporting the relevance of mouse models in studying human disease variants. CONCLUSIONS: NOER provides a resource for assessing the fitness consequences of genetic variants in mouse genes and understanding the relationship between gene constraint and function. The study’s findings highlight the importance of pleiotropy in selective constraint and support the utility of mouse models in investigating human disease variants. Further research with larger sample sizes can refine constraint estimates in mice and enable more comprehensive comparisons of constraint between mouse and human orthologues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09637-2.
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spelling pubmed-105149392023-09-23 Genic constraint against nonsynonymous variation across the mouse genome Powell, George Simon, Michelle M. Pulit, Sara Mallon, Ann-Marie Lindgren, Cecilia M. BMC Genomics Research BACKGROUND: Selective constraint, the depletion of variation due to negative selection, provides insights into the functional impact of variants and disease mechanisms. However, its characterization in mice, the most commonly used mammalian model, remains limited. This study aims to quantify mouse gene constraint using a new metric called the nonsynonymous observed expected ratio (NOER) and investigate its relationship with gene function. RESULTS: NOER was calculated using whole-genome sequencing data from wild mouse populations (Mus musculus sp and Mus spretus). Positive correlations were observed between mouse gene constraint and the number of associated knockout phenotypes, indicating stronger constraint on pleiotropic genes. Furthermore, mouse gene constraint showed a positive correlation with the number of pathogenic variant sites in their human orthologues, supporting the relevance of mouse models in studying human disease variants. CONCLUSIONS: NOER provides a resource for assessing the fitness consequences of genetic variants in mouse genes and understanding the relationship between gene constraint and function. The study’s findings highlight the importance of pleiotropy in selective constraint and support the utility of mouse models in investigating human disease variants. Further research with larger sample sizes can refine constraint estimates in mice and enable more comprehensive comparisons of constraint between mouse and human orthologues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09637-2. BioMed Central 2023-09-22 /pmc/articles/PMC10514939/ /pubmed/37736706 http://dx.doi.org/10.1186/s12864-023-09637-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Powell, George
Simon, Michelle M.
Pulit, Sara
Mallon, Ann-Marie
Lindgren, Cecilia M.
Genic constraint against nonsynonymous variation across the mouse genome
title Genic constraint against nonsynonymous variation across the mouse genome
title_full Genic constraint against nonsynonymous variation across the mouse genome
title_fullStr Genic constraint against nonsynonymous variation across the mouse genome
title_full_unstemmed Genic constraint against nonsynonymous variation across the mouse genome
title_short Genic constraint against nonsynonymous variation across the mouse genome
title_sort genic constraint against nonsynonymous variation across the mouse genome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514939/
https://www.ncbi.nlm.nih.gov/pubmed/37736706
http://dx.doi.org/10.1186/s12864-023-09637-2
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