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Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse

Genomic imprinting underlying growth and development traits has been recognized, with a focus on the form of absolute or pure growth. However, little is known about the effect of genomic imprinting on relative growth. In this study, we proposed a random regression model to estimate genome-wide impri...

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Autores principales: Zhao, Jingli, Li, Shuling, Wang, Lijuan, Jiang, Li, Yang, Runqing, Cui, Yuehua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364555/
https://www.ncbi.nlm.nih.gov/pubmed/28338098
http://dx.doi.org/10.1038/srep45191
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author Zhao, Jingli
Li, Shuling
Wang, Lijuan
Jiang, Li
Yang, Runqing
Cui, Yuehua
author_facet Zhao, Jingli
Li, Shuling
Wang, Lijuan
Jiang, Li
Yang, Runqing
Cui, Yuehua
author_sort Zhao, Jingli
collection PubMed
description Genomic imprinting underlying growth and development traits has been recognized, with a focus on the form of absolute or pure growth. However, little is known about the effect of genomic imprinting on relative growth. In this study, we proposed a random regression model to estimate genome-wide imprinting effects on the relative growth of multiple tissues and organs to body weight in mice. Joint static allometry scaling equation as sub-model is nested within the genetic effects of markers and polygenic effects caused by a pedigree. Both chromosome-wide and genome-wide statistical tests were conducted to identify imprinted quantitative trait nucleotides (QTNs) associated with relative growth of individual tissues and organs to body weight. Real data analysis showed that three of six analysed tissues and organs are significantly associated with body weight in terms of phenotypic relative growth. At the chromosome-wide level, a total 122 QTNs were associated with allometries of kidney, spleen and liver weights to body weight, 36 of which were imprinted with different imprinting fashions. Further, only two imprinted QTNs responsible for relative growth of spleen and liver were verified by genome-wide test. Our approach provides a general framework for statistical inference of genomic imprinting underlying allometry scaling in animals.
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spelling pubmed-53645552017-03-28 Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse Zhao, Jingli Li, Shuling Wang, Lijuan Jiang, Li Yang, Runqing Cui, Yuehua Sci Rep Article Genomic imprinting underlying growth and development traits has been recognized, with a focus on the form of absolute or pure growth. However, little is known about the effect of genomic imprinting on relative growth. In this study, we proposed a random regression model to estimate genome-wide imprinting effects on the relative growth of multiple tissues and organs to body weight in mice. Joint static allometry scaling equation as sub-model is nested within the genetic effects of markers and polygenic effects caused by a pedigree. Both chromosome-wide and genome-wide statistical tests were conducted to identify imprinted quantitative trait nucleotides (QTNs) associated with relative growth of individual tissues and organs to body weight. Real data analysis showed that three of six analysed tissues and organs are significantly associated with body weight in terms of phenotypic relative growth. At the chromosome-wide level, a total 122 QTNs were associated with allometries of kidney, spleen and liver weights to body weight, 36 of which were imprinted with different imprinting fashions. Further, only two imprinted QTNs responsible for relative growth of spleen and liver were verified by genome-wide test. Our approach provides a general framework for statistical inference of genomic imprinting underlying allometry scaling in animals. Nature Publishing Group 2017-03-24 /pmc/articles/PMC5364555/ /pubmed/28338098 http://dx.doi.org/10.1038/srep45191 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhao, Jingli
Li, Shuling
Wang, Lijuan
Jiang, Li
Yang, Runqing
Cui, Yuehua
Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse
title Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse
title_full Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse
title_fullStr Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse
title_full_unstemmed Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse
title_short Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse
title_sort genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364555/
https://www.ncbi.nlm.nih.gov/pubmed/28338098
http://dx.doi.org/10.1038/srep45191
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