Research on the Vietnamese genome found many rare diseases

From basic research on the Vietnamese genome, when applied, it helps to find rare diseases and identify the environment that greatly affects the human gene.

On October 2, the Research Institute of Genome and the Institute of Biotechnology (Vietnam Academy of Science and Technology) announced the results of the research on human genomes that have been carried out and applied in the field. this. Over the past 10 years, many projects and projects with different scales on sequencing and analyzing genomes, expression genes (exome), mitochondrial genomes, functional gene groups, polymorphisms and mutations are related. To various diseases in Vietnamese people has been carried out.

DNA identification at the Genome Research Institute.(Photo: T.Phong).

In the direction of human genome research, the Genome Research Institute has sequenced the entire mitochondrial genome and the entire non-exchangeable region (male specific sex zone, MSY) of Y chromosome of 609 fish. be. The sequencing of this sequence to study on the groups of diseases: cardiovascular disease, esophageal cancer, retinal cancer, mental retardation, autism, Parkinson's disease, rare diseases, unspecified diseases multiply .

Assoc. Dr. Nguyen Huy Hoang, Director of the Genome Research Institute, said that these studies were applied in collaboration with the Central Institute of Pediatrics to detect and treat rare diseases in young children. There are many patients who come to the clinic with similar symptoms, but the treatment is not effective. Thanks to the new generation gene decoding technology, we can correctly identify and have appropriate treatment regimens as well as genetic studies of rare diseases in pediatric patients.

In addition, the instructions on the human genome are also applied for DNA identification, to identify the remains of martyrs and study the effects of environmental toxins / dioxins on the genome.

1. International publication of Vietnamese gene sequencing
2. Vietnamese PhDs decode genes by artificial intelligence