Researchers have used artificial intelligence to identify the DNA pattern of an initiator, a genetic element involved in turning human genes on, in a study that examines how gene activation is encoded. The phrase hidden on switch human DNA refers to this gene-activation signal.

ScienceDaily reported that the team analysed about 500,000 versions of the initiator and used machine-learning models to identify its sequence signature. The model found the element in roughly 60% of human genes examined in the study.

A University of California San Diego research release carried by EurekAlert said the initiator is the site where information in genes first begins to be converted into functional products. The researchers described the result as a step toward understanding the broader code that controls gene activity.

The study does not decode the entire human genome or provide a treatment for a disease. It identifies one part of the regulatory information that helps determine when genes begin to operate, and it can help researchers predict how some mutations may affect that process.

The research team used high-throughput sequencing to measure the activity of many initiator variants before training the AI model. That combination of laboratory data and computational analysis allowed the researchers to test which sequence features were associated with gene activation.

The findings may support future work on synthetic promoters and on interpreting mutations, but the reports do not announce a clinical application. Further studies will be needed to test how the model performs across different genes, cell types and disease-related variants.