Nutrigenomics delves into the intricate interplay between genes and nutrients, utilizing molecular tools to explore and comprehend the diverse responses that arise when dietary supplements are administered to individuals or populations. The Human Genome Project has revealed that a mere 0.1% of gene sequences differ, contributing to variations in weight, height, hair color, and nutritional needs. Single Nucleotide polymorphisms (SNPs) are pivotal in this genetic diversity and are capable of altering encoded proteins. From a nutrigenomics point of view, nutrients are potent signals or sensors that direct specific cells to undergo metabolic changes, determining whether an individual is healthy or diseased. Gene-nutrient interactions play a crucial role in either enhancing or impeding the ability of transcription factors to interact with elements that govern RNA (Ribonucleic acid) polymerase binding. Such interactions can instigate direct actions, activating nuclear receptors and initiating gene transcription, or regulate molecules associated with a spectrum of diseases, from inflammation to cancer. By interpreting nutrigenomics data as a final step toward restoring sound health and preventing disease, data mining and other bioinformatics techniques contribute to evidence-based intervention options. This review is an attempt to examine the science behind the evolution of nutrigenomics and its effect on human nutritional status, body composition, and ultimately, their work performance, shedding light on the exploration of genomic tools for complex dynamics of gene-nutrient interactions in this context.