MADRID, March 26 (EUROPA PRESS) –
In a major study, involving over 100,000 people, researchers from the Icahn School of Medicine in Mount Sinai, United States, have used a new method of teaching machine to identify 413 genetic links with schizophrenia across 13 brain regions. As described in the February edition of Nature's Genetics, the examination of gene expression at the tissue level enabled researchers not only to identify new genes associated with schizophrenia, but also areas from the brain they could express unusual expression
Although it affects less than 2 per cent of the world's population, schizophrenia is a major cause of disability worldwide. Despite its low prevalence, the disease has a major socio-economic and public health impact, mainly due to hospital readmission and treatment costs. In addition, although many genes are thought to contribute to increasing the risk of developing schizophrenia, the exact genetic foundations are not well known.
However, the ambiguity of such is acting as a fuel for many researchers, as the discovery of genes associated with diseases is essential to understand the mechanisms associated with any disease. As a result, Mount Sinai researchers used the findings of the study of the genome association along with the transcriptomic graft to identify the disease associated with schizophrenia with a solution at tissue level.
Genome society studies are a kind of study that is increasingly common in biomedical research; they observe differences in several points from a genetic code to see if there is more frequent variation in those with a particular characteristic, such as schizophrenia. A transcription graft is a new machine learning technique that allows scientists to experience the relationship between the disease. and gene expression in tissues that would otherwise be inaccessible, such as those in the brain.
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While studying 40,299 people with schizophrenia and 62,264 paired controls, The scientists used this sharp decision to discover that genes associated with schizophrenia are expressed throughout their development: some during certain periods of pregnancy and others during adolescence or in adulthood. The researchers also learned that different regions of the brain give different risks to schizophrenia, and most of the linkages come from the dorsolateral predecessor cortex.
"Our new predictor models gave us unprecedented power to study predicted gene expression in schizophrenia and to identify new risk genes associated with the disease," said Laura Huckins, assistant professor of Genetics and Genomics and Psychiatry at Icahn School of Medicine in Mount Sinai. "In particular, it was interesting to see the risk genes for schizophrenia being expressed throughout their development, even during early pregnancy," he adds.
"By laying the foundations for combining the transcript transcript and findings of the whole genome society studynot only our hope is to explain the development of the gene in what refers to schizophrenia, but also to shape the future of research and design methods, "he said.