Genomic Signatures of a Global Fitness Index in a Multi-Ethnic Cohort of Women

Authors

  • Evadnie Rampersaud,

    Corresponding author
    1. Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
    2. Miller School of Medicine, University of Miami, Miami, FL, USA
    • John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
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  • Lubov Nathanson,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
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  • Jeffrey Farmer,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
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  • Karyn Meshbane,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
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  • Richard L. Belton,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
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  • Amy Dressen,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
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  • Michael Cuccaro,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
    2. Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
    3. Miller School of Medicine, University of Miami, Miami, FL, USA
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  • Anthony Musto,

    1. Department of Kinesiology and Sports Science, University of Miami, Miami, FL, USA
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  • Sylvia Daunert,

    1. Miller School of Medicine, University of Miami, Miami, FL, USA
    2. Department of Biochemistry and Molecular Biology, University of Miami, Miami, FL, USA
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  • Sapna Deo,

    1. Miller School of Medicine, University of Miami, Miami, FL, USA
    2. Department of Biochemistry and Molecular Biology, University of Miami, Miami, FL, USA
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  • Natasha Hudson,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
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  • Jeffery M. Vance,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
    2. Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
    3. Miller School of Medicine, University of Miami, Miami, FL, USA
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  • David Seo,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
    2. Miller School of Medicine, University of Miami, Miami, FL, USA
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  • Armando Mendez,

    1. Miller School of Medicine, University of Miami, Miami, FL, USA
    2. Diabetes Research Institute, University of Miami, Miami, FL, USA
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  • Derek M. Dykxhoorn,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
    2. Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
    3. Miller School of Medicine, University of Miami, Miami, FL, USA
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  • Margaret A. Pericak-Vance,

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
    2. Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
    3. Miller School of Medicine, University of Miami, Miami, FL, USA
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  • and . Pascal J. Goldschmidt-Clermont

    1. John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
    2. Miller School of Medicine, University of Miami, Miami, FL, USA
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Corresponding author: Evadnie Rampersaud, 1501 NW 10th Ave. BRB318, Miami FL 33136, USA. Tel: 305 243 1192; Fax: 305 243 2396; E-mail: erampersaud@med.miami.edu

Summary

The rates of obesity and sedentary lifestyle are on a dramatic incline, with associated detrimental health effects among women in particular. Although exercise prescriptions are useful for overcoming these problems, success can be hampered by differential responsiveness among individuals in cardiovascular fitness indices (i.e. improvements in strength, lipids, VO2max). Genomic factors appear to play an important role in determining this inter-individual variation. We performed microarray analyses on mRNA in whole blood from 60 sedentary women from a multi-ethnic cohort who underwent 12 weeks of exercise, to identify gene subsets that were differentially expressed between individuals who experienced the greatest and least improvements in fitness. We identified 43 transcripts in 39 unique genes (FDR<10%; FC>1.5) whose expression increased the most in “high” versus “low” pre-menopausal female responders. These 39 genes were enriched in six biological pathways, including oxidative phosphorylation (p = 8.08 × 10−3). Several of the 39 genes (i.e. TIGD7, UQCRH, PSMA6, WDR12, TFB2M, USP15) have previously reported associations with fitness-related phenotypes. In summary, we identified gene signatures based on mRNA analysis that define responsiveness to exercise in a largely minority-based female cohort. Importantly, this study validates several genes/pathways previously associated with exercise responsiveness and extends these findings with additional novel genes.

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