异质性分析为双相情感障碍的基因同质亚型提供了证据

Caroline C. McGrouther, Aaditya V. Rangan, Arianna Di Florio, Jeremy A. Elman, Nicholas J. Schork, John Kelsoe
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引用次数: 0

摘要

躁郁症是一种高度遗传性的脑部疾病,据估计影响着全球 5000 万人。由于基因分型技术和生物信息学方法的最新进展,以及可用数据总量的增加,我们对躁狂症遗传基础的认识有所提高。越来越多的人认为 BD 具有多基因性和异质性,但对这种异质性的具体情况还不甚了解。在这里,我们使用一种最新开发的技术来研究双相情感障碍的遗传异质性。我们发现了 "双群集"(bicluster)的有力统计证据:双相情感障碍受试者的一个子集表现出一种特定的遗传模式。这个双集群所揭示的结构在其他几个数据集中也得到了复制,并可用于改进躁郁症风险预测算法。我们认为,这个双簇很可能对应于遗传学上不同的 BD 亚型。更广泛地说,我们认为我们的双聚类方法是一种很有前途的手段,它可以在不需要可靠的表型数据的情况下,解开复杂疾病的潜在异质性。
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Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder
Bipolar disorder is a highly heritable brain disorder which affects an estimated 50 million people worldwide. Due to recent advances in genotyping technology and bioinformatics methodology, as well as the increase in the overall amount of available data, our understanding of the genetic underpinnings of BD has improved. A growing consensus is that BD is polygenic and heterogeneous, but the specifics of that heterogeneity are not yet well understood. Here we use a recently developed technique to investigate the genetic heterogeneity of bipolar disorder. We find strong statistical evidence for a `bicluster': a subset of bipolar subjects that exhibits a disease-specific genetic pattern. The structure illuminated by this bicluster replicates in several other data-sets and can be used to improve BD risk-prediction algorithms. We believe that this bicluster is likely to correspond to a genetically-distinct subtype of BD. More generally, we believe that our biclustering approach is a promising means of untangling the underlying heterogeneity of complex disease without the need for reliable subphenotypic data.
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