Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782517343886245888 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5364555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhaojingli genomewiderandomregressionanalysisforparentoforigineffectsofbodycompositionallometriesinmouse AT lishuling genomewiderandomregressionanalysisforparentoforigineffectsofbodycompositionallometriesinmouse AT wanglijuan genomewiderandomregressionanalysisforparentoforigineffectsofbodycompositionallometriesinmouse AT jiangli genomewiderandomregressionanalysisforparentoforigineffectsofbodycompositionallometriesinmouse AT yangrunqing genomewiderandomregressionanalysisforparentoforigineffectsofbodycompositionallometriesinmouse AT cuiyuehua genomewiderandomregressionanalysisforparentoforigineffectsofbodycompositionallometriesinmouse |