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

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Jingli Zhao ◽  
Shuling Li ◽  
Lijuan Wang ◽  
Li Jiang ◽  
Runqing Yang ◽  
...  
2010 ◽  
Vol 40 (2) ◽  
pp. 111-120 ◽  
Author(s):  
Scott A. Kelly ◽  
Derrick L. Nehrenberg ◽  
Kunjie Hua ◽  
Ryan R. Gordon ◽  
Theodore Garland ◽  
...  

Despite the health-related benefits of exercise, many people do not engage in enough activity to realize the rewards, and little is known regarding the genetic or environmental components that account for this individual variation. We created and phenotyped a large G4 advanced intercross line originating from reciprocal crosses between mice with genetic propensity for increased voluntary exercise (HR line) and the inbred strain C57BL/6J. G4 females (compared to males) ran significantly more when provided access to a running wheel and were smaller with a greater percentage of body fat pre- and postwheel access. Change in body composition resulting from a 6-day exposure to wheels varied between the sexes with females generally regulating energy balance more precisely in the presence of exercise. We observed parent-of-origin effects on most voluntary wheel running and body composition traits, which accounted for 3–13% of the total phenotypic variance pooled across sexes. G4 individuals descended from progenitor (F0) crosses of HR♀ and C57BL/6J♂ ran greater distances, spent more time running, ran at higher maximum speeds/day, and had lower percent body fat and higher percent lean mass than mice descended from reciprocal progenitor crosses (C57BL/6J♀ × HR♂). For some traits, significant interactions between parent of origin and sex were observed. We discuss these results in the context of sex dependent activity and weight loss patterns, the contribution of parent-of-origin effects to predisposition for voluntary exercise, and the genetic (i.e., X-linked or mtDNA variations), epigenetic (i.e., genomic imprinting), and environmental (i.e., in utero environment or maternal care) phenomena potentially modulating these effects.


Diabetes ◽  
2001 ◽  
Vol 50 (12) ◽  
pp. 2850-2857 ◽  
Author(s):  
R. S. Lindsay ◽  
S. Kobes ◽  
W. C. Knowler ◽  
P. H. Bennett ◽  
R. L. Hanson

PLoS ONE ◽  
2010 ◽  
Vol 5 (9) ◽  
pp. e12513 ◽  
Author(s):  
Delphine Fradin ◽  
Keely Cheslack-Postava ◽  
Christine Ladd-Acosta ◽  
Craig Newschaffer ◽  
Aravinda Chakravarti ◽  
...  

2012 ◽  
Vol 158A (4) ◽  
pp. 784-794 ◽  
Author(s):  
Min Shi ◽  
Jeffrey C. Murray ◽  
Mary L. Marazita ◽  
Ronald G. Munger ◽  
Ingo Ruczinski ◽  
...  

2018 ◽  
Vol 27 (16) ◽  
pp. 2927-2939 ◽  
Author(s):  
Gabriel Cuellar Partida ◽  
Charles Laurin ◽  
Susan M Ring ◽  
Tom R Gaunt ◽  
Allan F McRae ◽  
...  

DNA Research ◽  
2013 ◽  
Vol 21 (2) ◽  
pp. 141-151 ◽  
Author(s):  
M. T. A. Donoghue ◽  
A. Fort ◽  
R. Clifton ◽  
X. Zhang ◽  
P. C. McKeown ◽  
...  

Author(s):  
Chiara Sacco ◽  
Cinzia Viroli ◽  
Mario Falchi

AbstractGenomic imprinting is an epigenetic mechanism that leads to differential contributions of maternal and paternal alleles to offspring gene expression in a parent-of-origin manner. We propose a novel test for detecting the parent-of-origin effects (POEs) in genome wide genotype data from related individuals (twins) when the parental origin cannot be inferred. The proposed method exploits a finite mixture of linear mixed models: the key idea is that in the case of POEs the population can be clustered in two different groups in which the reference allele is inherited by a different parent. A further advantage of this approach is the possibility to obtain an estimation of parental effect when the parental information is missing. We will also show that the approach is flexible enough to be applicable to the general scenario of independent data. The performance of the proposed test is evaluated through a wide simulation study. The method is finally applied to known imprinted genes of the MuTHER twin study data.


2009 ◽  
Vol 18 (3) ◽  
pp. 379-384 ◽  
Author(s):  
Nadezhda M Belonogova ◽  
Tatiana I Axenovich ◽  
Yurii S Aulchenko

2013 ◽  
Vol 22 (6) ◽  
pp. 822-830 ◽  
Author(s):  
Paras Garg ◽  
Kerstin U Ludwig ◽  
Anne C Böhmer ◽  
Michele Rubini ◽  
Regine Steegers-Theunissen ◽  
...  

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