Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse
文献类型： 外文期刊
作者： Zhao, Jingli 1 ; Li, Shuling 3 ; Wang, Lijuan 4 ; Jiang, Li 2 ; Yang, Runqing 1 ; Cui, Yuehua 5 ;
作者机构： 1.Chinese Acad Fishery Sci, Res Ctr Aquat Biotechnol, Minist Agr, Key Lab Aquat Genom, Beijing 100141, Peoples R China
2.Nanjing Agr Univ, Wuxi Fisheries Coll, Nanjing 214128, Peoples R China
3.Northeast Agr Univ, Coll Life Sci, Harbin 150030, Peoples R China
4.Chinese Acad Sci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China
5.Michigan State Univ, Dept Stat & Probabil, E Lansing, MI 48864 USA
6.Shanxi Med Univ, Sch Publ Hlth, Div Hlth Stat, Taiyuan 030001, Peoples R China
期刊名称：SCIENTIFIC REPORTS （ 影响因子：4.379； 五年影响因子：5.133 ）
ISSN： 2045-2322
年卷期： 2017 年 7 卷
页码：
收录情况： SCI
摘要： 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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