Scientists announce preliminary results in decoding 1000 Vietnamese human genomes
Vietnamese researchers have achieved a significant milestone in medical science. A team led by Dr. Võ Sỹ Nam and Prof. Vũ Hà Văn from the Big Data Research Institute at VinUni University recently published a study in Nature Communications. This work details the creation of the first large-scale human genome dataset for the Vietnamese population. By analyzing genetic data from 1,011 individuals across 53 provinces, the team identified 42 million genetic variants. A notable portion of these variants had never been recorded in international databases before now.
The project resulted in the Vietnamese PanGenome Reference, a vital tool for precision medicine. Previous global reference genomes were primarily based on European data, which limited the accuracy of genetic analysis for Southeast Asian populations. This new resource corrects that imbalance. It allows scientists to better understand disease pathology, drug responses, and individual health risks specific to the Vietnamese people.
Practical applications are already underway. The research has produced models for predicting drug responses for 150 substance groups, which helps in personalizing treatment plans. One specific effort, the The Right Medicine for Me project, provides genetic testing for children with epilepsy to prevent adverse reactions to medication. This ensures that treatments are both safer and more effective for those who need them most.
Another key innovation is the VinGenChip. This biochip serves as a foundation for identifying genetic variants at scale. Beyond clinical medicine, this technology plays a role in identifying the remains of martyrs. By matching DNA samples more efficiently, the project assists in humanitarian efforts to locate and identify fallen soldiers. This work marks a shift in how the country handles genetic research, moving from theory to tangible public service. The success of this study confirms that local scientific teams are capable of solving complex national challenges through rigorous data analysis and homegrown innovation.

