【佳學(xué)基因檢測】使用網(wǎng)絡(luò)模型揭示精神疾病的發(fā)病機(jī)制

中國神經(jīng)病基因檢測公司排名詳解

討化神經(jīng)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(wǎng)絡(luò)模型揭示精神疾病的發(fā)病機(jī)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(jìn)了腫瘤的正確治療與個性化用藥的發(fā)展，進(jìn)一步強(qiáng)調(diào)了基因信息檢測與分析的重要性。

神經(jīng)疾病遺傳阻斷及正確治療臨床研究內(nèi)容關(guān)鍵詞：

精神科心理科疾病用藥指導(dǎo)基因檢測臨床應(yīng)用結(jié)果

精神疾病是一種復(fù)雜的腦部疾病，具有高度的遺傳異質(zhì)性，影響著全世界數(shù)百萬人。盡管精神遺傳學(xué)取得了進(jìn)展，但精神疾病的潛在致病機(jī)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(jù)表明，復(fù)雜疾病的遺傳學(xué)可以通過全基因視角來觀察，這涉及在高度互連的網(wǎng)絡(luò)中對基因進(jìn)行背景化。因此，應(yīng)用基于網(wǎng)絡(luò)的多組學(xué)整合方法可以為精神疾病的病理生理學(xué)提供新的視角。在這篇綜述中，我們首先概述了精神遺傳學(xué)的賊新進(jìn)展，并強(qiáng)調(diào)了將分子關(guān)聯(lián)轉(zhuǎn)化為機(jī)制見解方面的差距。然后，我們概述了網(wǎng)絡(luò)方法，并回顧了網(wǎng)絡(luò)方法在精神疾病研究中的先前應(yīng)用。賊后，我們描述了這種方法在多組織、多組學(xué)方法中的潛力，并總結(jié)了采用多種網(wǎng)絡(luò)方法的未來方向。多組學(xué)；網(wǎng)絡(luò)建模；精神疾??；系統(tǒng)生物學(xué)。

神經(jīng)及精神疾病及其并發(fā)征、合并征國際數(shù)據(jù)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.