現代基因學面臨的重大挑戰之一是精神分裂症，這並非單一基因突變引起，而是數百種微小影響的遺傳變異共同作用的結果，這些變異影響神經發育及大腦連結。

為了了解這個複雜的遺傳結構，科學家不僅要找到根本原因，還需了解基因間的相互作用。最近一項發表在《自然遺傳學》的研究利用人工智慧模型，找出了與該疾病相關的766個基因，其中641個是首次發現的。

這些發現揭示了基因如何作為一個相互連結的網絡共同運作，而不是單獨作用，這為未來更精確地研究精神分裂症的行為及潛在療法奠定了基礎。

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.