Skip to main content

Research Article Details

Peer-Reviewed Open Access Publication · ISSN: 2321-8681 · CC-BY 4.0 International

Open Access ISSN: 2321-8681 Volume: 13, Issue: 1, (January-June) 2026

Nutrigenomics: Integrating Genetic Data and Wearable Feedback to Personalize Training Loads and Nutrition for Injury Resilience

Authors: Arvinder Kaur Saini, Paramvir Singh, Rajinder Kaur India
Download Full PDF Certificate Cite Article Back to Archives

Abstract

Sports science is witnessing a remarkable convergence of molecular biology and sensor-based engineering. This review examines how nutrigenomics—the study of gene–diet interactions—can be combined with wearable monitoring technologies to individualise training loads and nutritional
plans, with the ultimate aim of strengthening injury resilience in athletes and physically active individuals. Drawing on a systematic scoping review of 85 peer-reviewed studies published between 2010 and April 2025, the paper maps key genetic polymorphisms that shape injury susceptibility, notably
variants in COL1A1, COL5A1, ACTN3, and IL6. It also examines how contemporary wearable devices capture internal and external training-load metrics, and evaluates emerging frameworks that fuse genomic profiles with real-time biosensor feedback. Evidence indicates that genotype-informed
personalisation of training and recovery can meaningfully reduce overuse injuries and improve adaptive capacity. Persistent challenges—including data heterogeneity, ethical concerns around genetic privacy, and limited validation across diverse populations—are critically discussed. The paper closes by advocating transdisciplinary collaboration and well-powered
longitudinal trials to advance these integrated systems toward routine clinical and coaching practice.

Keywords: Nutrigenomics; Wearable Technology; Genetic Polymorphisms; Training Load; Injury Prevention; Personalised Nutrition; Sports Performance; Heart Rate Variability; SNPs

Journal Research and Reviews in Biotechnology and Biosciences
Peer Review Double-Blind Peer Reviewed
Publication Year 2026
Volume Volume: 13, Issue: 1, (January-June)
Page Range 81-95
DOI https://doi.org/10.5281/zenodo.20063148
Cite this Article

Select a citation style to copy or import directly into your reference manager:

Arvinder Kaur Saini, Paramvir Singh, Rajinder Kaur (2026). Nutrigenomics: Integrating Genetic Data and Wearable Feedback to Personalize Training Loads and Nutrition for Injury Resilience. Research and Reviews in Biotechnology and Biosciences, Volume: 13, Issue: 1, (January-June), 81-95. https://doi.org/10.5281/zenodo.20063148
Arvinder Kaur Saini, Paramvir Singh, Rajinder Kaur, 2026. Nutrigenomics: Integrating Genetic Data and Wearable Feedback to Personalize Training Loads and Nutrition for Injury Resilience. Research and Reviews in Biotechnology and Biosciences, Volume: 13, Issue: 1, (January-June), pp. 81-95.
Arvinder Kaur Saini, Paramvir Singh, Rajinder Kaur. "Nutrigenomics: Integrating Genetic Data and Wearable Feedback to Personalize Training Loads and Nutrition for Injury Resilience." Research and Reviews in Biotechnology and Biosciences Volume: 13, Issue: 1, (January-June) (2026): 81-95.
@article{rrbb_303_ArvinderK, title = {{Nutrigenomics: Integrating Genetic Data and Wearable Feedback to Personalize Training Loads and Nutrition for Injury Resilience}}, author = {Arvinder Kaur Saini, Paramvir Singh, Rajinder Kaur}, journal = {Research and Reviews in Biotechnology and Biosciences}, issn = {2321-8681}, year = {2026}, volume = {Volume: 13, Issue: 1, (January-June)}, pages = {81-95}, doi = {https://doi.org/10.5281/zenodo.20063148} }
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source.