Evidence map›Paper›PMID 24147032›Full record

ArticlePloS one2013

Genetic analysis of a rat model of aerobic capacity and metabolic fitness.

Yu-Yu Ren, Katherine A Overmyer, Nathan R Qi, Mary K Treutelaar, Lori Heckenkamp, Molly Kalahar, Lauren G Koch, Steven L Britton, Charles F Burant, Jun Z Li

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Variation in Intrinsic Aerobic Capacity Reveals Distinct Differences in the Maintenance of Rat Knee Joint Integrity.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
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  11. Rat Models of Metabolic Syndrome.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  12. Article
  13. Article
  14. Review
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors.

Yu-Yu RenDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America.
Katherine A Overmyer
Nathan R Qi
Mary K Treutelaar
Lori Heckenkamp
Molly Kalahar
Lauren G Koch
Steven L Britton
Charles F Burant
Jun Z Li

Funding

PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joyce Lee · 2010 to 2026
$20.3M
SYTEMS AND INTEGRATIVE BIOLOGYT32GM008322 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LOW, MALCOLM JAMES · 1990 to 2020
$5.7M
RESOURCE FOR RAT GENETIC MODELS OF AEROBIC CAPACITYR24RR017718 · NCRR · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI BRITTON, STEVEN LOYAL · 2003 to 2011
$4.0M
Biology of Aerobic Capacity and Insulin ResistanceR01DK077200 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURANT, CHARLES F · 2008 to 2012
$1.5M
Genotype-Phenotype relationships underlying aerobic capacity and metabolic healthR01DK099034 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRITTON, STEVEN LOYAL, BURANT, CHARLES F · 2014 to 2016
$1.4M
NCRR NIH HHS R24 RR017718NIDDK NIH HHS DK 089503NIDDK NIH HHS NIH5P60 DK20572NIDDK NIH HHS P30 DK089503NIDDK NIH HHS P60 DK020572NIDDK NIH HHS R01 DK077200PHS HHS R0D012098A
6 · The paper itself

Abstract

Aerobic capacity is a strong predictor of all-cause mortality and can influence many complex traits. To explore the biological basis underlying this connection, we developed via artificial selection two rat lines that diverge for intrinsic (i.e. inborn) aerobic capacity and differ in risk for complex disease traits. Here we conduct the first in-depth pedigree and molecular genetic analysis of these lines, the high capacity runners (HCR) and low capacity runners (LCR). Our results show that both HCR and LCR lines maintain considerable narrow-sense heritability (h(2)) for the running capacity phenotype over 28 generations (h(2) = 0.47 ± 0.02 and 0.43 ± 0.02, respectively). To minimize inbreeding, the lines were maintained by rotational mating. Pedigree records predict that the inbreeding coefficient increases at a rate of <1% per generation, ~37-38% slower than expected for random mating. Genome-wide 10K SNP genotype data for generations 5, 14, and 26 demonstrate substantial genomic evolution: between-line differentiation increased progressively, while within-line diversity deceased. Genome-wide average heterozygosity decreased at a rate of <1% per generation, consistent with pedigree-based predictions and confirming the effectiveness of rotational breeding. Linkage disequilibrium index r(2) decreases to 0.3 at ~3 Mb, suggesting that the resolution for mapping quantitative trait loci (QTL) can be as high as 2-3 cM. To establish a test population for QTL mapping, we conducted an HCR-LCR intercross. Running capacity of the F1 population (n=176) was intermediate of the HCR and LCR parentals (28 pairs); and the F2 population (n=645) showed a wider range of phenotypic distribution. Importantly, heritability in the F0-F2 pedigree remained high (h(2)~0.6). These results suggest that the HCR-LCR lines can serve as a valuable system for studying genomic evolution, and a powerful resource for mapping QTL for a host of characters relevant to human health.

Indexed as

Physical Conditioning, AnimalAnimalsBreedingCrosses, GeneticExercise ToleranceFemaleGenetic FitnessGenetic VariationLinkage DisequilibriumMalePhenotypeRatsSex Factors

Identifiers

PMID24147032
PMCPMC3795692

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.