AI Uncovers 766 Schizophrenia-Linked Genes in Genetic Study
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A team of neuroscientists has identified 766 genes associated with schizophrenia, including 641 previously unknown, using AI to analyze genetic data and brain tissue samples. The findings, published in Nature Genetics, suggest the disease arises from an interconnected network of genes rather than isolated variants.
The Genetic Discovery
The study, led by the Lieber Institute for Brain Development and the University of Bari, analyzed genetic data from 102,000 individuals and brain tissue samples from six brain regions of hundreds of donors. Researchers identified 766 genes linked to schizophrenia, 641 of which had not appeared in prior transcriptomic analyses. Long-range genetic regulatory signals provided evidence that these genes operate as an interconnected network, coordinating to raise disease risk.
The AI Approach
Scientists used AI computational models to reconstruct the coordinated activity of thousands of genes in the human brain. These models parsed complex interactions that single-gene studies miss, revealing how variants influence neural development, neuron communication, and brain connectivity. The approach marks a shift from viewing the disorder as a collection of isolated mutations to a systems-level dysfunction.
Disease Impact
Schizophrenia affects about 23 million people worldwide, or one in 345, according to the World Health Organization. The illness alters perception, causing hallucinations, delusions, social withdrawal, and cognitive difficulties. While family history increases risk, it is not deterministic; the new genetic map helps explain why some relatives develop the disease and others do not.
What's Next
The Lieber Institute and partners plan further studies to investigate how these gene networks could be targeted for new treatments. It remains uncertain when such insights might translate into clinical therapies.
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AI Uncovers 766 Schizophrenia-Linked Genes in Genetic Study
