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Generalized gametic relationships for flexible analyses of parent-of-origin effects
A class of epigenetic inheritance patterns known as genomic imprinting allows alleles to influence the phenotype in a parent-of-origin-specific manner. Various pedigree-based parent-of-origin analyses of quantitative traits have attempted to determine the share of genetic variance that is attributab...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496240/ https://www.ncbi.nlm.nih.gov/pubmed/33693544 http://dx.doi.org/10.1093/g3journal/jkab064 |
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author | Reinsch, Norbert Mayer, Manfred Blunk, Inga |
author_facet | Reinsch, Norbert Mayer, Manfred Blunk, Inga |
author_sort | Reinsch, Norbert |
collection | PubMed |
description | A class of epigenetic inheritance patterns known as genomic imprinting allows alleles to influence the phenotype in a parent-of-origin-specific manner. Various pedigree-based parent-of-origin analyses of quantitative traits have attempted to determine the share of genetic variance that is attributable to imprinted loci. In general, these methods require four random gametic effects per pedigree member to account for all possible types of imprinting in a mixed model. As a result, the system of equations may become excessively large to solve using all available data. If only the offspring have records, which is frequently the case for complex pedigrees, only two averaged gametic effects (transmitting abilities) per parent are required (reduced model). However, the parents may have records in some cases. Therefore, in this study, we explain how employing single gametic effects solely for informative individuals (i.e., phenotyped individuals), and only average gametic effects otherwise, significantly reduces the complexity compared with classical gametic models. A generalized gametic relationship matrix is the covariance of this mixture of effects. The matrix can also make the reduced model much more flexible by including observations from parents. Worked examples are present to illustrate the theory and a realistic body mass data set in mice is used to demonstrate its utility. We show how to set up the inverse of the generalized gametic relationship matrix directly from a pedigree. An open-source program is used to implement the rules. The application of the same principles to phased marker data leads to a genomic version of the generalized gametic relationships. |
format | Online Article Text |
id | pubmed-8496240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84962402021-10-07 Generalized gametic relationships for flexible analyses of parent-of-origin effects Reinsch, Norbert Mayer, Manfred Blunk, Inga G3 (Bethesda) Investigation A class of epigenetic inheritance patterns known as genomic imprinting allows alleles to influence the phenotype in a parent-of-origin-specific manner. Various pedigree-based parent-of-origin analyses of quantitative traits have attempted to determine the share of genetic variance that is attributable to imprinted loci. In general, these methods require four random gametic effects per pedigree member to account for all possible types of imprinting in a mixed model. As a result, the system of equations may become excessively large to solve using all available data. If only the offspring have records, which is frequently the case for complex pedigrees, only two averaged gametic effects (transmitting abilities) per parent are required (reduced model). However, the parents may have records in some cases. Therefore, in this study, we explain how employing single gametic effects solely for informative individuals (i.e., phenotyped individuals), and only average gametic effects otherwise, significantly reduces the complexity compared with classical gametic models. A generalized gametic relationship matrix is the covariance of this mixture of effects. The matrix can also make the reduced model much more flexible by including observations from parents. Worked examples are present to illustrate the theory and a realistic body mass data set in mice is used to demonstrate its utility. We show how to set up the inverse of the generalized gametic relationship matrix directly from a pedigree. An open-source program is used to implement the rules. The application of the same principles to phased marker data leads to a genomic version of the generalized gametic relationships. Oxford University Press 2021-03-10 /pmc/articles/PMC8496240/ /pubmed/33693544 http://dx.doi.org/10.1093/g3journal/jkab064 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigation Reinsch, Norbert Mayer, Manfred Blunk, Inga Generalized gametic relationships for flexible analyses of parent-of-origin effects |
title | Generalized gametic relationships for flexible analyses of parent-of-origin effects |
title_full | Generalized gametic relationships for flexible analyses of parent-of-origin effects |
title_fullStr | Generalized gametic relationships for flexible analyses of parent-of-origin effects |
title_full_unstemmed | Generalized gametic relationships for flexible analyses of parent-of-origin effects |
title_short | Generalized gametic relationships for flexible analyses of parent-of-origin effects |
title_sort | generalized gametic relationships for flexible analyses of parent-of-origin effects |
topic | Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496240/ https://www.ncbi.nlm.nih.gov/pubmed/33693544 http://dx.doi.org/10.1093/g3journal/jkab064 |
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