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BMC Genetics  2010 

A search for quantitative trait loci controlling within-individual variation of physical activity traits in mice

DOI: 10.1186/1471-2156-11-83

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Abstract:

This analysis uncovered 39 different QTLs, over half of which were new. Some QTLs affected the activity traits only in the early time intervals and typically exhibited significant dominance effects whereas others affected activity only in the later age intervals and exhibited less dominance. We also analyzed the regression slopes of the activity traits over the intervals, and found several QTLs affecting these traits that generally mapped to unique genomic locations.It was concluded that the genetic architecture of physical activity in mice is much more complicated than has previously been recognized, and may change considerably depending on the age at which various activity measures are assessed.Physical activity is an important behavior exhibited by most humans on a daily basis. Activity levels vary considerably among populations, sexes, and/or age cohorts [1,2], although in most populations, typically only a fraction of all individuals engage in vigorous or sustained exercise [3,4]. This is unfortunate since it has become increasingly apparent that physical inactivity can predispose individuals to a host of diseases such as heart failure and cancer [5-8]. Of particular recent concern are the sedentary life styles that are thought to promote obesity in increasing numbers of individuals [9].Although there is a wealth of knowledge about the environmental factors that predispose individuals to physical inactivity, it is somewhat surprising that we still know comparatively little about the genetic control of voluntary exercise. It is clear that the heritability of various activity traits in humans is moderate to high in magnitude [9,10], although the identity of the genes responsible for this genetic variation remains largely unknown. Several recent studies in mice [11-19] have been successful in uncovering a number of QTLs for various wheel-running traits. These studies have given us information about the numbers and modes of action of the QTLs governing these traits

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