The human voice is a powerful biometric: it encodes not only who is speaking but also what is happening to the speaker at the moment of speech. Behind it lies one of the body's most intricate processes: a cognitive, neuromotor, physiological and bio‑mechanical cascade spanning cortical language areas, the cerebellum and basal ganglia, the cranial nerves, the larynx and the vocal tract. This talk asks how deeply that process is shaped by our genes, and whether the voice can therefore be read as a window onto the genome. Starting from molecular and cytogenetic basics -- DNA, chromosomes, and the ~45,000 genes that build and operate the speech apparatus -- it surveys genes already linked to voice, from speech‑motor control (e.g., FOXP2) and vocal‑fold biomechanics (collagens, elastin) to laryngeal structure and pitch. It then moves from static anatomy to dynamic biology, using systems‑biology pathways to trace, gene by gene, how an external input reaches the voice: a worked example follows alcohol from the glass through its metabolic genes (ADH1B, ALDH2, CYP2E1) and central effects to measurable slurred articulation, showing how the voice becomes a readout of both the substance consumed and the listener's own metabolic genotype. From such cases the talk advances a central hypothesis and a gene‑based algorithm: if any factor influences mind or body, and a biological pathway can be traced from that influence to voice production, then its imprint on the voice can in principle be discovered, opening a route to inferring traits, external influences, and a wide range of the 30,000+ known conditions from speech. Because the very variations that make a voice unique also confound any single influence, the talk closes with the mathematics of confounding: detection, adjustment, and causal separation via Pearl's do‑calculus, and argues for treating the voice as a rich, partially decoded phenotypic readout of genotype. This work underpins the observations reported in Singh, R. (2023). A Gene-Based Algorithm for Identifying Factors That May Affect a Speaker's Voice. Entropy, 25(6), 897.