US scientists have managed to identify more than 400 genes related to the development of schizophrenia

Researchers from the Ikean College of Medicine in the United States, as part of the largest study involving more than 100,000 people, have applied a new machine-learning method to identify 413 hereditary schizophrenic associations in 13 regions of the brain, described in the March issue of Nature's Genetic Testing ", examination of tissue-level gene expression has not allowed researchers to identify new genes associated with schizophrenia, but has also identified areas of the brain where abnormal expression might occur.

Although schizophrenia affects less than 2% of the world's population, it is one of the leading causes of disability in the world and, despite its low prevalence, the disease has a significant impact on public, social and economic health, Hospitalization and treatment costs: While it is widely believed that many genes contribute to an increased risk of developing schizophrenia, the exact genetic basis is not well understood.

However, this uncertainty serves as a fuel for many researchers, as the discovery of disease-related genes is essential to understanding the mechanisms involved in any disease.

Researchers from Icahn School have used the results of the genome-wide correlation study to identify tissue-related schizophrenia-related diseases, which are increasingly common in biomedical research. There was often a discrepancy in these specific traits, such as schizophrenia.