The Current State and Future of Exercise Genomics: Prospects for Personalized Training

Preface: A Scientific Bridge from the Laboratory to Taiwan’s Roads

Exercise genomics seeks to answer an age-old question: where exactly is talent written? From single candidate genes (ACTN3, ACE) to genome-wide association studies (GWAS), and further to multi-omics integrating epigenetics, transcriptomics, and metabolomics, this field is evolving rapidly yet is also fraught with exaggeration and misunderstanding. This article will pragmatically synthesize the current state of exercise genomics—what we know, what we don’t know—and offer a reasonable vision for future individualized training.

From Candidate Genes to the Whole Genome

Early research focused on a handful of candidate genes (ACTN3, ACE, PPARGC1A, etc.). Although associations were found, the effect sizes of single genes were small and replication was inconsistent. The GWAS era revealed that athletic performance is a highly polygenic trait: dozens to hundreds of variants each contribute tiny effects, collectively forming a complex genetic architecture. Studies such as HERITAGE have attempted to predict training responses using polygenic scores, showing that combining multiple variants offers greater predictive power than single genes, yet the overall proportion of variance explained remains limited—still far from precise prediction.

The New Frontier of Multi-omics Integration

Looking at DNA alone is insufficient. True individualization requires integration across: the genome (innate predisposition), the epigenome (environmentally induced expression regulation), the transcriptome (actual gene expression), the proteome and metabolome (functional endpoints), and the microbiome. Multi-omics integration captures gene–environment interactions, bringing us closer to a full picture of “how performance arises.” This is also the technical foundation of precision sports medicine, but data volume, analytical complexity, and cost are all challenges requiring cross-disciplinary collaboration and large-scale cohort support.

Application Boundaries and Ethics

The greatest risk in exercise genomics is overpromising: commercial “talent tests” claiming to screen for future champions or designate specific disciplines far exceed what science can support. A responsible stance is that genes provide population-level tendency information, have limited predictive power for individuals, and must never be used to screen children or determine destinies. Reasonable applications lie in understanding recovery tendencies, injury risk, and training preferences, serving as one input among many decisions. Ethically, genetic discrimination and privacy abuse must be guarded against, and public scientific literacy must be strengthened.

The Commercial Chaos and Scientific Boundaries of Exercise Genomics

The biggest practical issue facing exercise genomics is the enormous gap between science and commerce. Numerous commercial “athletic talent tests” claim to identify which sport a child is suited for or predict championship potential, but these claims far exceed what science can support—the predictive power of single or few genes is weak, and polygenic scores are also insufficient to accurately predict individuals. The international sports genetics community has issued consensus statements explicitly opposing the use of genetic testing for child talent screening or discipline designation. The responsible scientific boundary is: genetic information may be used for research, understanding population tendencies, and assisting with injury risk, but must never serve as a basis for screening, directing, or determining fate. Consumers should remain alert to exaggerated marketing and understand that “genes are probability, not destiny.”

Future Directions: Multi-omics, Big Data, and International Collaboration

The future of exercise genomics lies in moving beyond the limitations of single genes toward multi-omics integration and large-sample international collaboration. Challenges include the scarcity of athletic performance samples (especially elite), population diversity, and complex phenotype definitions. International consortia (integrating elite athlete data across countries) and multi-omics (genomic, epigenetic, transcriptomic, metabolic, microbial) are key pathways to improving predictive power and mechanistic understanding. In the long term, this may support more precise individualized training and injury prevention. However, researchers universally emphasize that even as technology advances, its application must adhere strictly to ethics—focusing on health promotion and training optimization, not elite screening or genetic determinism. Scientific humility and ethical steadfastness are prerequisites for the healthy development of this field.

The Potential and Reality of Polygenic Scores

Polygenic scores represent exercise genomics’ attempt to move from single genes toward integrated prediction, but their potential and reality must be viewed in balance. Potential: combining dozens to hundreds of variants distinguishes population tendencies better than single genes and is a useful tool for studying complex traits. Reality: even polygenic scores currently explain only a limited portion of individual athletic performance or training response, far from accurately predicting individuals, and certainly not suitable for screening. Furthermore, most sports genetics research is based on European and American populations, limiting the applicability of scores to other populations (such as Chinese), highlighting the necessity of local data. Therefore, polygenic scores are a direction for advancing scientific understanding, but not a reliable personal prediction tool or a basis for commercial “talent identification.” A rational view: they help us understand the polygenic nature of athletic performance, but the core message that “training and lifestyle determine the realization of potential” remains unchanged.

An Interdisciplinary Perspective: Humility and Prospects in Exercise Genomics

The current state and future of exercise genomics embody science’s humility and prospects when confronting complex traits. It seeks to answer “where talent is written,” yet in the process of exploration discovers—athletic performance is a highly polygenic trait deeply interacting with the environment, with no simple answers. The value of this interdisciplinary integration (genetics, systems biology, data science, training science) lies not in providing a shortcut to “talent identification,” but in deepening our understanding of how performance arises. From candidate genes to GWAS to multi-omics, the evolution of methods reflects a gradual recognition of complexity. The maturity of this field is shown in its honesty about its own limitations—the limited predictive power of single or few genes, the technical and cost challenges of multi-omics, and vigilance against commercial overpromising. Looking ahead, multi-omics integration and international collaboration may improve predictive power and mechanistic understanding, but applications must adhere strictly to ethics: focusing on health promotion and training optimization, not elite screening or genetic determinism. The story of exercise genomics is an example of scientific humility (acknowledging what we don’t know) coexisting with prospect (continued exploration), and it reminds us: the deeper our understanding of “talent,” the clearer the critical role of training and lifestyle.

From Research to the Training Ground: A Framework for Engaging with Genetic Information

When facing athletic genetic information, one can follow the framework: “Understand the nature—reject determinism—local perspective—focus on what is controllable.” Understand the nature: athletic talent is a complex outcome of polygenic inheritance plus environment; there is no “champion gene”; even polygenic scores have limited predictive power for individuals and are research tools, not personal identification. Reject determinism: firmly oppose using genes to screen children or determine disciplines (scientifically untenable and harmful to development); genes are probability, not destiny, and the vast majority of people are far from their potential ceiling. Local perspective: most sports genetics research is based on European and American populations, with limited applicability to Taiwanese people, highlighting the need to build local data; support rigorous, ethical local multi-omics research. Focus on what is controllable: place emphasis on training, nutrition, recovery, and lifestyle—these controllable factors with enormous benefits—rather than fixating on unchangeable genes; remain critical of exaggerated commercial “talent tests.” For Taiwanese parents, letting children participate broadly, enjoy sports, and prioritize long-term development far outweighs early genetic channeling. The core of this framework is: view genes with scientific humility (acknowledging their limitations), and invest effort in controllable training and lifestyle—this is the right path to realizing potential and promoting health.

Local Application in Taiwan: Climate, Events, and Cultural Context

Taiwan possesses high-quality biomedical research and information infrastructure. Establishing a local database of genes and phenotypes for athletic populations would help develop individualized training science suited to Taiwanese people—after all, most international data is based on European and American populations, and direct application may be inaccurate. A pragmatic direction is industry-academia collaboration, collecting de-identified data under rigorous ethical standards, focusing on injury prevention and health promotion rather than elite screening. At the same time, public scientific literacy should be strengthened to resist exaggerated “talent gene testing” marketing, keeping exercise genomics on the right track of science and ethics.

Taiwan has excellent biomedical and information infrastructure, and establishing a local genetic and multi-omics database for athletic populations holds long-term value, filling gaps in international data dominated by European and American populations. A pragmatic direction is industry-academia-research collaboration, rigorous ethical standards, a focus on health promotion, and strengthening public scientific literacy to resist exaggerated “talent testing” marketing.

Frequently Asked Questions and Myth Clarification

Myth 1: Can a polygenic score predict my athletic talent? Current explanatory power is limited and insufficient to accurately predict individuals, let alone be used for screening. It is a research tool, not a personal assessment.

Myth 2: Do overseas sports genetics studies apply to Taiwanese people? Most are based primarily on European and American populations, so their applicability is limited, highlighting the need for local data.

Myth 3: Can sports genomics produce champions? Genes set the range of potential, but excellence requires both nature and nurture (training). Genes cannot create champions; training realizes potential.

How to Read Sports Science Research: Developing Evidence Literacy

This article cites four studies from leading international journals (such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise, Sports Medicine, Nature, and the Cell series), but as a reader, cultivating “evidence literacy” can help you absorb this knowledge more rationally rather than accepting it at face value. First, distinguish study types: randomized controlled trials (RCTs) have the strongest causal inference, observational studies (cohort, cross-sectional) can only show associations rather than causation, and animal and cellular studies reveal mechanisms but require caution when translating to humans. Second, pay attention to samples and contexts: results from small samples or specific populations (such as elite athletes or specific age groups) may not apply to you; studies based mainly on European and American populations also require consideration regarding applicability to Taiwanese populations. Third, value effect size rather than only looking at “statistical significance”: statistical significance does not equal a practically large enough benefit; you must ask “is this difference important in real training or health terms?” Fourth, be wary of over-extrapolation and commercialization: preliminary findings from a single study are often exaggerated into “miracle” products or methods; you should wait for replication and systematic reviews. Fifth, make comprehensive judgments based on the “consistency” of mechanistic, associational, and interventional evidence, rather than rejecting everything because of one study’s flaws or accepting everything because of one impressive result. Sixth, understand that “individual variability” is the norm in sports science: the same intervention produces different responses in different people due to genetics, training background, lifestyle, and environment; studies present group averages, so when applying results to yourself, be sure to observe your own actual responses and adjust accordingly. Seventh, prioritize the “fundamentals”: sleep, nutrition, regular training, and recovery—these basics with abundant evidence and clear benefits—are always worth investing in before various novel supplements, equipment, or methods. Many seemingly sophisticated interventions offer marginal benefits far smaller than getting the basics right. Sports science is a constantly evolving field; maintaining an open yet critical attitude, updating your knowledge as evidence evolves, while respecting individual variability and valuing fundamentals, is the only way to truly translate cutting-edge research from international journals into training and health decisions that are useful, safe, and sustainable in the long term—without blindly following trends or idolizing a single authority.

Key Takeaways of This Article

Synthesizing the interdisciplinary research and mechanistic analyses above, the core points can be distilled as follows: Athletic talent is polygenic: there is no single “champion gene”—don’t be misled by single-gene tests. Multi-omics is the future: integrating genomics, epigenomics, metabolomics, and microbiome data is necessary to approach reality. Reject child screening: genetic predictive power is insufficient to determine specialization or destiny, and it violates ethics. Local data matters: foreign models may not fit Taiwanese populations; local research is needed. Health promotion as the core: the value of personalization lies in injury prevention and efficiency, not in creating idols. Behind these points lies the convergence of multiple fields—sleep science, immunology, genomics, neuroscience, microbiology, endocrinology, and data science—which together convey a core message: the benefits and adaptations of exercise are the integrated outcome of multiple body systems working in coordination, not something any single factor can encompass. Understanding this interdisciplinary, integrative perspective helps us move beyond fragmented “treat-the-symptom” thinking and view training, recovery, and health more holistically. Incorporating these principles into daily training and life, and dynamically adjusting based on individual conditions, actual responses, and professional advice, is the only way to translate cutting-edge findings from top international journals into practices that are truly feasible, safe, and sustainable in Taiwan’s climate, racing calendar, and lifestyle context. The value of sports science ultimately lies in helping every athlete—elite or amateur, young or old—enjoy sport more intelligently, more healthily, and more joyfully, while achieving physical and mental growth along the way.

Practical Recommendations for Taiwanese Athletes

1. Athletic talent is polygenic: There is no single “champion gene”—don’t be misled by single-gene tests.
2. Multi-omics is the future: Integrating genomics, epigenomics, metabolomics, and microbiome data is necessary to approach reality.
3. Reject child screening: Genetic predictive power is insufficient to determine specialization or destiny, and it violates ethics.
4. Local data matters: Foreign models may not fit Taiwanese populations; local research is needed.
5. Health promotion as the core: The value of personalization lies in injury prevention and efficiency, not in creating idols.

Research Citations and Further Reading

• Pitsiladis, Y., et al. (2013). Genomics of elite sporting performance: what little we know and necessary advances. British Journal of Sports Medicine, 47(9), 550–555.
• Bouchard, C. (2015). Exercise genomics—a paradigm shift is needed. British Journal of Sports Medicine, 49(23), 1492–1496.
• Ahmetov, I. I., et al. (2016). Genes and athletic performance: an update. Medicine and Sport Science, 61, 41–54.
• Guth, L. M., & Roth, S. M. (2013). Genetic influence on athletic performance. Current Opinion in Pediatrics, 25(6), 653–658.

This article is a translation of sports science knowledge. Individual physiological responses vary. Please consult professional coaches and sports medicine physicians for any training or intervention adjustments, and proceed gradually according to your personal health status.

Related Topic Reading

• Sports Genetics: The Impact of ACTN3 and ACE Genes on Endurance Performance
• Systems Biology Approaches in Sports Science: Training Adaptation Research through Multi-Omics Integration
• Precision Sports Medicine: Personalized Training Program Research Guided by Genomics
• Multi-Omics Characteristics of Elite Taiwanese Endurance Athletes: An Integrative Study of Genomics, Gut Microbiota, and Metabolomics