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 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.
Key Laboratory of Aquatic Genomics, Ministry of Agriculture; Research Centre for Aquatic Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China.|Wuxi Fisheries College, Nanjing Agricultural University, Wuxi 214128, China.
Jingli
J
Zhao
College of Life Science, Northeast Agricultural University, Harbin 150030, China.
Shuling
S
Li
Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
Lijuan
L
Wang
Wuxi Fisheries College, Nanjing Agricultural University, Wuxi 214128, China.
Li
L
Jiang
Key Laboratory of Aquatic Genomics, Ministry of Agriculture; Research Centre for Aquatic Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China.
Runqing
R
Yang
Department of Statistics and Probability, Michigan State University, East Lansing, MI 48864, USA.|Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
Yuehua
Y
Cui
D000818:Animals; D001823:Body Composition / Q000235:genetics*; D001835:Body Weight / Q000235:genetics*; D018392:Genomic Imprinting; D051379:Mice; D008957:Models, Genetic; D040641:Quantitative Trait Loci