【佳學基因檢測】使用網絡模型揭示精神疾病的發(fā)病機制

中國神經病基因檢測公司排名詳解

討化神經科疾病個性化藥物研究路徑做了備注《Genes (Basel)》在.?2021 Jul 20;12(7):1101.發(fā)表了一篇題目為《使用網絡模型揭示精神疾病的發(fā)病機制》腫瘤靶向藥物治療基因檢測臨床研究文章。該研究由Yanning Zuo, Don Wei, Carissa Zhu, Ormina Naveed, Weizhe Hong, Xia Yang等完成。促進了腫瘤的正確治療與個性化用藥的發(fā)展，進一步強調了基因信息檢測與分析的重要性。

神經疾病遺傳阻斷及正確治療臨床研究內容關鍵詞：

精神科心理科疾病用藥指導基因檢測臨床應用結果

精神疾病是一種復雜的腦部疾病，具有高度的遺傳異質性，影響著全世界數百萬人。盡管精神遺傳學取得了進展，但精神疾病的潛在致病機制在很大程度上仍然難以捉摸，這阻礙了新的合理療法的發(fā)展。越來越多的證據表明，復雜疾病的遺傳學可以通過全基因視角來觀察，這涉及在高度互連的網絡中對基因進行背景化。因此，應用基于網絡的多組學整合方法可以為精神疾病的病理生理學提供新的視角。在這篇綜述中，我們首先概述了精神遺傳學的賊新進展，并強調了將分子關聯轉化為機制見解方面的差距。然后，我們概述了網絡方法，并回顧了網絡方法在精神疾病研究中的先前應用。賊后，我們描述了這種方法在多組織、多組學方法中的潛力，并總結了采用多種網絡方法的未來方向。多組學；網絡建模；精神疾病；系統(tǒng)生物學。

神經及精神疾病及其并發(fā)征、合并征國際數據庫描述：

Psychiatric disorders are complex brain disorders with a high degree of genetic heterogeneity, affecting millions of people worldwide. Despite advances in psychiatric genetics, the underlying pathogenic mechanisms of psychiatric disorders are still largely elusive, which impedes the development of novel rational therapies. There has been accumulating evidence suggesting that the genetics of complex disorders can be viewed through an omnigenic lens, which involves contextualizing genes in highly interconnected networks. Thus, applying network-based multi-omics integration methods could cast new light on the pathophysiology of psychiatric disorders. In this review, we first provide an overview of the recent advances in psychiatric genetics and highlight gaps in translating molecular associations into mechanistic insights. We then present an overview of network methodologies and review previous applications of network methods in the study of psychiatric disorders. Lastly, we describe the potential of such methodologies within a multi-tissue, multi-omics approach, and summarize the future directions in adopting diverse network approaches.Keywords:?integrative genomics; multi-omics; network modeling; psychiatric disorders; systems biology.