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A quantitative genetic and epigenetic model of complex traits

BACKGROUND: Despite our increasing recognition of the mechanisms that specify and propagate epigenetic states of gene expression, the pattern of how epigenetic modifications contribute to the overall genetic variation of a phenotypic trait remains largely elusive. RESULTS: We construct a quantitativ...

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Detalles Bibliográficos
Autores principales: Wang, Zhong, Wang, Zuoheng, Wang, Jianxin, Sui, Yihan, Zhang, Jian, Liao, Duanping, Wu, Rongling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3577459/
https://www.ncbi.nlm.nih.gov/pubmed/23102025
http://dx.doi.org/10.1186/1471-2105-13-274
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author Wang, Zhong
Wang, Zuoheng
Wang, Jianxin
Sui, Yihan
Zhang, Jian
Liao, Duanping
Wu, Rongling
author_facet Wang, Zhong
Wang, Zuoheng
Wang, Jianxin
Sui, Yihan
Zhang, Jian
Liao, Duanping
Wu, Rongling
author_sort Wang, Zhong
collection PubMed
description BACKGROUND: Despite our increasing recognition of the mechanisms that specify and propagate epigenetic states of gene expression, the pattern of how epigenetic modifications contribute to the overall genetic variation of a phenotypic trait remains largely elusive. RESULTS: We construct a quantitative model to explore the effect of epigenetic modifications that occur at specific rates on the genome. This model, derived from, but beyond, the traditional quantitative genetic theory that is founded on Mendel’s laws, allows questions concerning the prevalence and importance of epigenetic variation to be incorporated and addressed. CONCLUSIONS: It provides a new avenue for bringing chromatin inheritance into the realm of complex traits, facilitating our understanding of the means by which phenotypic variation is generated.
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spelling pubmed-35774592013-02-26 A quantitative genetic and epigenetic model of complex traits Wang, Zhong Wang, Zuoheng Wang, Jianxin Sui, Yihan Zhang, Jian Liao, Duanping Wu, Rongling BMC Bioinformatics Methodology Article BACKGROUND: Despite our increasing recognition of the mechanisms that specify and propagate epigenetic states of gene expression, the pattern of how epigenetic modifications contribute to the overall genetic variation of a phenotypic trait remains largely elusive. RESULTS: We construct a quantitative model to explore the effect of epigenetic modifications that occur at specific rates on the genome. This model, derived from, but beyond, the traditional quantitative genetic theory that is founded on Mendel’s laws, allows questions concerning the prevalence and importance of epigenetic variation to be incorporated and addressed. CONCLUSIONS: It provides a new avenue for bringing chromatin inheritance into the realm of complex traits, facilitating our understanding of the means by which phenotypic variation is generated. BioMed Central 2012-10-26 /pmc/articles/PMC3577459/ /pubmed/23102025 http://dx.doi.org/10.1186/1471-2105-13-274 Text en Copyright ©2012 Wang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Wang, Zhong
Wang, Zuoheng
Wang, Jianxin
Sui, Yihan
Zhang, Jian
Liao, Duanping
Wu, Rongling
A quantitative genetic and epigenetic model of complex traits
title A quantitative genetic and epigenetic model of complex traits
title_full A quantitative genetic and epigenetic model of complex traits
title_fullStr A quantitative genetic and epigenetic model of complex traits
title_full_unstemmed A quantitative genetic and epigenetic model of complex traits
title_short A quantitative genetic and epigenetic model of complex traits
title_sort quantitative genetic and epigenetic model of complex traits
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3577459/
https://www.ncbi.nlm.nih.gov/pubmed/23102025
http://dx.doi.org/10.1186/1471-2105-13-274
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