Cited by 422Genetics and Physical PerformanceGenetic Associations and EpidemiologyCardiovascular and exercise physiology

Genomic predictors of the maximal O2 uptake response to standardized exercise training programs

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Bouchard, Claude, Sarzynski, Mark A., Rice, Treva K., Kraus, William E., Church, Timothy S., Sung, Yun Ju, Rao, D. C., Rankinen, Tuomo·2011·Journal of Applied Physiology

Abstract

Low cardiorespiratory fitness is a powerful predictor of morbidity and cardiovascular mortality. In 473 sedentary adults, all whites, from 99 families of the Health, Risk Factors, Exercise Training, and Genetics (HERITAGE) Family Study, the heritability of gains in maximal O(2) uptake (VO(2max)) after exposure to a standardized 20-wk exercise program was estimated at 47%. A genome-wide association study based on 324,611 single-nucleotide polymorphisms (SNPs) was undertaken to identify SNPs associated with improvements in VO(2max) Based on single-SNP analysis, 39 SNPs were associated with the gains with P < 1.5 × 10(-4). Stepwise multiple regression analysis of the 39 SNPs identified a panel of 21 SNPs that accounted for 49% of the variance in VO(2max) trainability. Subjects who carried ≤9 favorable alleles at these 21 SNPs improved their VO(2max) by 221 ml/min, whereas those who carried ≥19 of these alleles gained, on average, 604 ml/min. The strongest association was with rs6552828, located in the acyl-CoA synthase long-chain member 1 (ACSL1) gene, which accounted by itself for ~6% of the training response of VO(2max). The genes nearest to the SNPs that were the strongest predictors were PR domain-containing 1 with ZNF domain (PRDM1); glutamate receptor, ionotropic, N-methyl-D-aspartate 3A (GRIN3A); K(+) channel, voltage gated, subfamily H, member 8 (KCNH8); and zinc finger protein of the cerebellum 4 (ZIC4). The association with the SNP nearest to ZIC4 was replicated in 40-…

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Crossref · 10.1152/japplphysiol.00973.2010

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  • The genetic component of a response trait can be defined in terms of RNA abundance observed in the sedentary state or by specific genomic variants.

    “There are strong indications from a baseline skeletal muscle gene expression profile and from a genome-wide association study performed on the Whites of HERITAGE that the genetic component of a response trait can be defined in terms of RNA abundance observed in the sedentary state or by specific genomic variants [31], [32], [33].”

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References 55 · Cited by 422

Authors
Bouchard, C., Sarzynski, M. A., Rice, T. K., Kraus, W. E., Church, T. S., Sung, Y. J., Rao, D. C., & Rankinen, T.
Affiliations
  • Pennington Biomedical Research Center (US)
  • Washington University in St. Louis (US)
  • Duke University (US)
Corresponding author
Bouchard, Claude
Venue
Journal of Applied Physiology
Published
2011-05
Volume
110
Issue
5
Pages
1160-1170
ISSN
  • 0161-7567 (ISSN-L)
  • 8750-7587
  • 1522-1601
OpenAlex
W2144693601
Cited by
422
References
55
Citations by year
2026: 20 · 2025: 18 · 2024: 28 · 2023: 18 · 2022: 17 · 2021: 38 · 2020: 31 · 2019: 36 · 2018: 34 · 2017: 33 · 2016: 29 · 2015: 28 · 2014: 33 · 2013: 27 · 2012: 19
FWCI
10.62
Type
journal article
Language
en
Open access
Locations
  • Journal of Applied Physiology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Heart, Lung, and Blood Institute (R01HL047327, HL 47321, HL 45670, HL-57354, HL47323, HL-66262, R01HL047317, R01HL057354, R01HL066262, HL 47327, R01HL047323, HL47317, R01HL045670, R01HL047321)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
Keywords
VO2max, cardiorespiratory fitness, exercise training response, genetic predictors, single nucleotide polymorphisms, heritability, ACSL1, ZIC4, Blimp-1, GRIN3A, NDN, DAAM1, sedentary adults, genome-wide association study, dyslipidemia
MeSH terms
Adolescent, Adult, Aged, Physical Exertion, Genetic Markers, Humans, Genetic Linkage, Male, Middle Aged, Oxygen Consumption, Physical Fitness, Genome, Proteome, Polymorphism, Single Nucleotide, Young Adult

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