Evidence map›Paper›PMID 20538847›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2010

Strain screen and haplotype association mapping of wheel running in inbred mouse strains.

J Timothy Lightfoot, Larry Leamy, Daniel Pomp, Michael J Turner, Anthony A Fodor, Amy Knab, Robert S Bowen, David Ferguson, Trudy Moore-Harrison, Alicia Hamilton

Abstract readComparative Study
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

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  15. Srf KO and wild-type mice similarly adapt to endurance exercise.European journal of translational myology · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

J Timothy LightfootDepartment of Kinesiology, University of North Carolina, Charlotte, NC, USA. TLightfoot@hlkn.tamu.edu
Larry Leamy
Daniel Pomp
Michael J Turner
Anthony A Fodor
Amy Knab
Robert S Bowen
David Ferguson
Trudy Moore-Harrison
Alicia Hamilton

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
GENETIC FACTORS RESPONSIBLE FOR EXERCISE ENDURANCER01AR050085 · NIAMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI LIGHTFOOT, J TIMOTHY · 2005 to 2009
$1.6M
Genetic Architecture of Voluntary Exercise in MiceR01DK076050 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POMP, DANIEL · 2007 to 2010
$966k
Aging, physical activity, and cardiac apoptosisR15AG022417 · NIA · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI TURNER, MICHAEL J · 2003 to 2003
$199k
Control of Physical Activity by Genetic FactorsR15DK061635 · NIDDK · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI LIGHTFOOT, J TIMOTHY · 2003 to 2003
$133k
NIAMS NIH HHS AR-050085NIAMS NIH HHS R01 AR050085NIA NIH HHS AG-022417NIA NIH HHS R15 AG022417NIDDK NIH HHS DK-076050NIDDK NIH HHS DK-61635NIDDK NIH HHS R01 DK076050NIDDK NIH HHS R15 DK061635NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Previous genetic association studies of physical activity, in both animal and human models, have been limited in number of subjects and genetically homozygous strains used as well as number of genomic markers available for analysis. Expansion of the available mouse physical activity strain screens and the recently published dense single-nucleotide polymorphism (SNP) map of the mouse genome (approximately 8.3 million SNPs) and associated statistical methods allowed us to construct a more generalizable map of the quantitative trait loci (QTL) associated with physical activity. Specifically, we measured wheel running activity in male and female mice (average age 9 wk) in 41 inbred strains and used activity data from 38 of these strains in a haplotype association mapping analysis to determine QTL associated with activity. As seen previously, there was a large range of activity patterns among the strains, with the highest and lowest strains differing significantly in daily distance run (27.4-fold), duration of activity (23.6-fold), and speed (2.9-fold). On a daily basis, female mice ran further (24%), longer (13%), and faster (11%). Twelve QTL were identified, with three (on Chr. 12, 18, and 19) in both male and female mice, five specific to males, and four specific to females. Eight of the 12 QTL, including the 3 general QTL found for both sexes, fell into intergenic areas. The results of this study further support the findings of a moderate to high heritability of physical activity and add general genomic areas applicable to a large number of mouse strains that can be further mined for candidate genes associated with regulation of physical activity. Additionally, results suggest that potential genetic mechanisms arising from traditional noncoding regions of the genome may be involved in regulation of physical activity.

Indexed as

Behavior, AnimalPhysical ExertionAnimalsChromosome MappingFemaleHaplotypesMaleMiceMice, Inbred StrainsMotor ActivityPhenotypePolymorphism, Single NucleotideQuantitative Trait LociRunningSex FactorsTime Factors

Identifiers

PMID20538847
PMCPMC2944645

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.