AI Is Helping Solve the Intricate Genetic Puzzle of Schizophrenia

A study published in Nature Genetics identified 766 genes associated with schizophrenia, including 641 not found in previous transcriptomic analyses, using AI-based computational models to reconstruct gene activity in the brain. The research, which analyzed genetic data from more than 102,000 people and brain tissue samples from six regions, reveals that the disorder arises from an interconnected network of genetic variants rather than a single cause. The findings, from researchers at the Lieber Institute for Brain Development, the University of Bari, and other institutions, could help scientists better understand the disease and develop treatments for the 23 million people affected worldwide.

One of the greatest challenges in modern genetics https://www.wired.com/story/new-schizophrenia-drug/ is schizophrenia https://www.wired.com/tag/schizophrenia/ . Unlike diseases caused by a single mutation, this disorder appears to arise from a combination of hundreds of genetic variants https://www.wired.com/story/mutations-in-a-single-gene-have-been-linked-to-mental-illness/ , each with small effects on different brain processes. Some influence neural development, while others alter communication between neurons or the organization of brain connections. Together, they contribute to the risk of developing the disease. Understanding this complex genetic architecture requires more than just identifying a single root cause of the problem. Scientists also need to understand how genes interact https://www.wired.com/tag/genetics/ with one another and whether they form biological networks capable of amplifying the risk. To answer that question, they must use AI-based computational models to reconstruct the coordinated activity of thousands of genes within the human brain. Now, a study published in Nature Genetics https://www.nature.com/articles/s41588-026-02646-3 provides one of the most detailed pictures to date. The team identified 766 genes associated with schizophrenia, including 641 that had not appeared in previous transcriptomic analyses. Many of these genes were identified thanks to long-range genetic regulatory signals—evidence that reinforces the idea that the genes involved in the disease function as an interconnected network rather than as isolated elements. The researchers compare the finding to turning on the lights in an entire neighborhood. Until now, they could only observe a few lit houses, but now they can make out a much larger portion of the disease’s genetic map. Rather than acting separately, the variants appear to coordinate and collectively contribute to the risk of developing schizophrenia. With part of the foundation now revealed, scientists can more precisely investigate the behavior of the disease and its potential treatments. The study analyzed genetic data from more than 102,000 people, as well as brain tissue samples from six brain regions obtained from hundreds of donors. Researchers from the Lieber Institute for Brain Development, the University of Bari, and dozens of psychiatric centers in various countries participated in the project. The World Health Organization estimates https://www.who.int/es/news-room/fact-sheets/detail/schizophrenia that schizophrenia affects about 23 million people worldwide—approximately one in every 345. Although specialists have long recognized the importance of genetics, they still do not know how the numerous biological factors that contribute to the disorder interact. Having a family history increases the risk, but does not determine it. Some people with close relatives who have the condition never develop the disease, while others are diagnosed without any known family history. The disease alters one’s perception of reality and typically manifests through hallucinations and delusions. It can also lead to https://es.wired.com/articulos/cuidado-cuando-busques-coach-para-el-tdah social isolation, lack of motivation, attention problems https://es.wired.com/articulos/cuidado-cuando-busques-coach-para-el-tdah , memory difficulties, and thought disorders. For many researchers, this diversity of symptoms precisely reflects the complexity of the biological mechanisms underlying the disorder. There does not appear to be a single gene responsible, but rather an extensive network of interacting processes. This story originally appeared on WIRED en Español https://es.wired.com/articulos/la-esquizofrenia-no-surge-de-un-solo-gen-un-nuevo-estudio-descubrio-una-red-de-766-genes and has been translated from Spanish.