利用联想内疚发现药物靶点:精神分裂症和帕金森病基因。

M G Walker, W Volkmuth, T M Klingler
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引用次数: 0

摘要

我们希望确定与疾病有关的基因。为此,我们寻找表达模式与已知疾病相关基因相似的新基因,我们称之为联想内疚(GBA)的方法。GBA使用了一种组合的关联度量,提供了比以前表达分析中使用的相关度量更好的结果。利用GBA,我们检测了522个cDNA文库中4万个人类基因的表达,并鉴定出数百个与已知癌症、炎症、类固醇合成、胰岛素合成、神经递质加工、基质重塑等疾病基因相关的基因。由此发现的大多数基因与已知基因没有显著的序列相似性,因此无法通过同源性搜索进行鉴定。我们在这里提出一个发现与精神分裂症和帕金森病相关的五个基因的例子。在4万个最丰富的人类基因中,这5个基因与已知的疾病基因联系最密切,因此是药物干预的主要目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pharmaceutical target discovery using Guilt-by-Association: schizophrenia and Parkinson's disease genes.

We wish to identify genes associated with disease. To do so, we look for novel genes whose expression patterns mimic those of known disease-associated genes, a method we call Guilt-by-Association (GBA). GBA uses a combinatoric measure of association that provides superior results to those from correlation measures used in previous expression analyses. Using GBA, we have examined the expression of 40,000 human genes in 522 cDNA libraries, and have identified several hundred genes associated with known cancer, inflammation, steroid-synthesis, insulin-synthesis, neurotransmitter processing, matrix remodeling and other disease genes. The majority of the genes thus discovered show no significant sequence similarity to known genes, and thus could not have been identified by homology searches. We present here an example of the discovery of five genes associated with schizophrenia and Parkinson's disease. Of the 40,000 most-abundant human genes, these five genes are the most closely linked to the known disease genes, and thus are prime targets for pharmaceutical intervention.

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