现代基因学面临的重大挑战之一是精神分裂症，这并非单一基因突变引起，而是数百种微小影响的遗传变异共同作用的结果，这些变异影响神经发育及大脑连结。

为了了解这个复杂的遗传结构，科学家不仅要找到根本原因，还需了解基因间的相互作用。最近一项发表在《自然遗传学》的研究利用人工智慧模型，找出了与该疾病相关的766个基因，其中641个是首次发现的。

这些发现揭示了基因如何作为一个相互连结的网络共同运作，而不是单独作用，这为未来更精确地研究精神分裂症的行为及潜在疗法奠定了基础。

One of the greatest challenges in modern genetics is schizophrenia, a disorder caused not by a single mutation but by hundreds of genetic variants with small effects on neural development and brain connectivity.

To understand this complex genetic architecture, scientists need to examine how genes interact. A recent study in Nature Genetics used AI models to identify 766 genes associated with schizophrenia, including 641 newly discovered ones.

These findings reveal how genes coordinate as an interconnected network rather than functioning in isolation, laying the groundwork for more precise investigations into the disease's behavior and potential treatments.