Exercise genomics—a paradigm shift is needed: a commentary
Open accessAbstract
The overarching goal of exercise genomics is to illuminate exercise biology and behaviour in order to better understand the preventive and therapeutic values of exercise. An ancillary aim is to understand the role of genomic variation in human physical attributes and sports performance. The aim of this report is to briefly comment on the current status of exercise genetics and genomics and to suggest potential improvements to the research agenda and translational activities. First, the genomic features of interest to the biology of exercise are defined. Then, the limit of the current focus on common variants and their implications for exercise genomics is highlighted. The need for a major paradigm shift in exercise genomics research is discussed with an emphasis on study designs and appropriately powered studies as well as on more mechanistic and functional research. Finally, a summary of current practices in translational activities compared with what best practice demands is introduced. One suggestion is that the research portfolio of exercise genomics be composed of a larger fraction of experimental and mechanistic investigations and a smaller fraction of observational studies. It is also recommended that research should shift to unbiased exploration of the genome using all the power of genomics, epigenomics and transcriptomics in combination with large observational but preferably experimental study designs, including Mendelian randomisation. In all cases, emphasis on replications is of paramount importance. This represents an extraordinary challenge that can only be met with large-scale collaborative and multicentre research programmes.
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Common DNA sequence variants in several Hippo genes influence body height, but the effect of each variant on height is small.
“In summary, common DNA sequence variants in several Hippo genes influence body height but the effect of each variant on height is small, presumably as de novo DNA sequence variants with a large effect size either become fixed or lost relatively quickly (17).”
From The Hippo signal transduction network for exercise physiologists (2016) · cites this paper as [17]
The section “Common variants: lessons from a decade of genome-wide association studies” reports that many common SNPs are associated with adult height and describes common variants as typically having small effect sizes (page unavailable). It does not identify those variants as being in Hippo genes, so the gene-specific part of the claim is unsupported. (LLM, conf=0.86)
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Cites
Initial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216 · see citing works
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072 · see citing works
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909 · see citing works
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711 · see citing works
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057 · see citing works
Davey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882 · see citing works
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534 · see citing works
Self-citationWiller (2013) · doi:10.1038/ng.2797 · Cited by 2,983 · see citing works
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
The International Consortium for Blood Pressure Genome-Wide Association Studies (2011) · Nature · doi:10.1038/nature10405 · Cited by 2,033 · see citing works
the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics · doi:10.1038/ng.2383 · Cited by 1,912 · see citing works
New genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature · doi:10.1038/nature14132 · Cited by 1,580 · cited 1× · see citing works
“Similar observations have been made for other traits including anthropometric indicators of upper body fat and abdominal fat 15 and resting heart rate.”
Self-citationAnalysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencing
Roach, J. C., Glusman, G., Smit, A. F. A., Huff, C. D., Hubley, R., Shannon, P. T., Rowen, L., Pant, K. P., Goodman, N., Bamshad, M., et al. (2010) · Science · doi:10.1126/science.1186802 · Cited by 1,084 · see citing works
Dehghan, A., Dupuis, J., Barbalić, M., Bis, J. C., Eiríksdóttir, G., Lu, C., Pellikka, N., Wallaschofski, H., Kettunen, J., Henneman, P., et al. (2011) · Circulation · doi:10.1161/circulationaha.110.948570 · Cited by 512 · see citing works
Potential Adverse Cardiovascular Effects From Excessive Endurance Exercise
O’Keefe, J. H., Patil, H., Lavie, C. J., Magalski, A., Vogel, R. A., & McCullough, P. A. (2012) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2012.04.005 · Cited by 471 · see citing works
Risk of arrhythmias in 52 755 long-distance cross-country skiers: a cohort study
Andersen, K., Farahmand, B., Ahlbom, A., Held, C., Ljunghall, S., Michaëlsson, K., & Sundström, J. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht188 · Cited by 448 · see citing works
Copy number variants, diseases and gene expression
Henrichsen, C. N., Chaignat, E., & Reymond, A. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp011 · Cited by 432 · see citing works
Truncated erythropoietin receptor causes dominantly inherited benign human erythrocytosis.
de la Chapelle, A., Träskelin, A. L., & Juvonen, E. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.10.4495 · Cited by 421 · see citing works
Genotype to Phenotype: A Complex Problem
Dowell, R. D., Ryan, O. W., Jansen, A., Cheung, D., Agarwala, S. D., Danford, T., Bernstein, D. A., Rolfe, A., Heisler, L. E., Chin, B., et al. (2010) · Science · doi:10.1126/science.1189015 · Cited by 408 · see citing works
Adverse metabolic response to regular exercise: is it a rare or common occurrence?
Bouchard, C., Blair, S. N., Church, T. S., Earnest, C. P., Hagberg, J. M., Häkkinen, K., Jenkins, N. T., Karavirta, L., Kraus, W. E., Leon, A. S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037887 · Cited by 389 · see citing works
Self-citationClan Genomics and the Complex Architecture of Human Disease
Lupski, J. R., Belmont, J. W., Boerwinkle, E., & Gibbs, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.09.008 · Cited by 366 · see citing works
Diverse patterns of myocardial fibrosis in lifelong, veteran endurance athletes
Wilson, M., O'Hanlon, R., Prasad, S., Deighan, A., MacMillan, P., Oxborough, D., Godfrey, R., Smith, G., Maceira, A., Sharma, S., et al. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01280.2010 · Cited by 298 · see citing works
den Hoed, M., Eijgelsheim, M., Esko, T., Brundel, B. J. J. M., Peal, D. S., Evans, D. M., Nolte, I. M., Segrè, A. V., Hólm, H., Handsaker, R. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2610 · Cited by 296 · see citing works
Genomics and Genetics in the Biology of Adaptation to Exercise
Bouchard, C., Rankinen, T., & Timmons, J. A. (2011) · Comprehensive physiology · doi:10.1002/cphy.c100059 · Cited by 211 · see citing works
Self-citationRankinen, T., Sarzynski, M. A., Ghosh, S., & Bouchard, C. (2015) · Circulation Research · doi:10.1161/circresaha.116.302888 · Cited by 133 · see citing works
Self-citationAutosomal dominant erythrocytosis caused by increased sensitivity to erythropoietin
Juvonen, E., Ikkala, E., Fyhrquist, F., et al. (1991) · Blood · doi:10.1182/blood.v78.11.3066.3066 · Cited by 123 · see citing works
Another explanation for apparent epistasis
Wood, A. R., Tuke, M. A., Nalls, M. A., Hernandez, D. G., Bandinelli, S., Singleton, A., Melzer, D. R., Ferrucci, L., Frayling, T. M., & Weedon, M. N. (2014) · Nature · doi:10.1038/nature13691 · Cited by 115 · see citing works
Familial erythrocytosis genetically linked to erythropoietin receptor gene
de la Chapelle, A., Sistonen, P., Lehväslaiho, H., et al. (1993) · The Lancet · doi:10.1016/0140-6736(93)92558-b · Cited by 95 · see citing works
Overcoming Barriers to Progress in Exercise Genomics
Bouchard, C. (2011) · Exercise and Sport Sciences Reviews · doi:10.1097/jes.0b013e31822643f6 · Cited by 67 · see citing works
Self-citationMendelian Randomization: Application to Cardiovascular Disease
Timpson, N. J., Wade, K. H., & Smith, G. D. (2011) · Current Hypertension Reports · doi:10.1007/s11906-011-0242-7 · Cited by 59 · see citing works
Advances in Exercise, Fitness, and Performance Genomics in 2014
Loos, R. J. F., Hagberg, J. M., Përusse, L., Roth, S. M., Sarzynski, M. A., Wolfarth, B., Rankinen, T., & Bouchard, C. (2015) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000645 · Cited by 38 · see citing works
Self-citationGenetic Component to Obesity: Evidence from Genetic Epidemiology
Bray, G. A. (2014) · CRC Press eBooks · doi:10.1201/b16473-13 · Cited by 3 · see citing works
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Role of Inactivity in Chronic Diseases: Evolutionary Insight and Pathophysiological Mechanisms
Booth, F. W., Roberts, C. K., Thyfault, J. P., Ruegsegger, G. N., & Toedebusch, R. G. (2017) · Physiological Reviews · doi:10.1152/physrev.00019.2016 · Cited by 696 · see citing works
Exercise therapy and cardiovascular toxicity in cancer
Scott, J. M., Nilsen, T. S., Gupta, D., & Jones, L. W. (2018) · Circulation · doi:10.1161/circulationaha.117.024671 · Cited by 239 · see citing works
The promise of new anti-obesity therapies arising from knowledge of genetic obesity traits
Hinney, A., Körner, A., & Fischer-Posovszky, P. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00716-0 · Cited by 101 · see citing works
Why nature prevails over nurture in the making of the elite athlete.
Georgiades, E., Klissouras, V., Baulch, J., Wang, G., & Pitsiladis, Y. (2017) · BMC Genomics · doi:10.1186/s12864-017-4190-8 · Cited by 50 · see citing works
The Hippo signal transduction network for exercise physiologists
Gabriel, B. M., Hamilton, D. L., Tremblay, A. M., & Wackerhage, H. (2016) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01076.2015 · Cited by 48 · see citing works
Twycross-Lewis, R., Kilduff, L. P., Wang, G., & Pitsiladis, Y. P. (2016) · Amino Acids · doi:10.1007/s00726-016-2237-9 · Cited by 36 · see citing works
Preface: genomics and biology of exercise is undergoing a paradigm shift.
Eynon, N., Voisin, S., Lucia, A., Wang, G., & Pitsiladis, Y. (2017) · BMC Genomics · doi:10.1186/s12864-017-4184-6 · Cited by 13 · see citing works
- Authors
- Bouchard, C.
- Affiliations
- Pennington Biomedical Research Center (US)
- Corresponding author
- Bouchard, Claude
- ORCID
- Bouchard, Claude
- Venue
- British Journal of Sports Medicine
- Publisher
- BMJ
- Published
- 2015-10-01
- Volume
- 49
- Issue
- 23
- Pages
- 1492-1496
- ISSN
- 0306-3674 (ISSN-L)
- 1473-0480
- OpenAlex
- W2173906058
- Cited by
- 63
- References
- 31
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 6 · 2022: 3 · 2021: 8 · 2020: 9 · 2019: 7 · 2018: 4 · 2017: 12 · 2016: 8
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal of Sports Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (HL 45670, R01HL045670)
- Defence and Security Accelerator
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- common genetic variants, research design, study power, mechanistic research, translational research, epigenomics, transcriptomics, Mendelian randomization, replication, athletic performance, physical fitness
- MeSH terms
- Humans, Exercise, Genome, Human, Polymorphism, Single Nucleotide, Genomics, Athletic Performance, Genome-Wide Association Study
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