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Arguments for the Sake of Endophenotypes: Examining Common Misconceptions About the Use of Endophenotypes In Psychiatric Genetics

机译:为内生表型而争论:检查关于在精神病学遗传学中使用内生表型的常见误解

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摘要

Endophenotypes are measurable biomarkers that are correlated with an illness, at least in part, because of shared underlying genetic influences. Endophenotypes may improve our power to detect genes influencing risk of illness by being genetically simpler, closer to the level of gene action, and with larger genetic effect sizes or by providing added statistical power through their ability to quantitatively rank people within diagnostic categories. Furthermore, they also provide insight into the mechanisms underlying illness and will be valuable in developing biologically-based nosologies, through efforts such as RDoC, that seek to explain both the heterogeneity within current diagnostic categories and the overlapping clinical features between them. While neuroimaging, electrophysiological, and cognitive measures are currently most used in psychiatric genetic studies, researchers currently are attempting to identify candidate endophenotypes that are less genetically complex and potentially closer to the level of gene action, such as transcriptomic and proteomic phenotypes. Sifting through tens of thousands of such measures requires automated, high-throughput ways of assessing and ranking potential endophenotypes, such as the Endophenotype Ranking Value. However, despite the potential utility of endophenotypes for gene characterization and discovery, there is considerable resistance to endophenotypic approaches in psychiatry. In this review, we address and clarify some of the common issues associated with the usage of endophenotypes in the psychiatric genetics community.
机译:内表型是可测量的生物标志物,与疾病相关,至少部分是由于共有的潜在遗传影响。内在表型可能会通过更简单的遗传,更接近基因作用的水平,更大的遗传效应大小或通过其将诊断人群定量地分类的能力提供增强的统计能力,从而提高我们检测影响疾病风险的基因的能力。此外,它们还提供了对疾病潜在机制的洞察力,并通过诸如RDoC之类的努力来开发基于生物学的疾病学,这对试图解释当前诊断类别中的异质性以及它们之间重叠的临床特征具有重要意义。虽然神经影像学,电生理学和认知学方法目前在精神病学遗传学研究中最常用,但研究人员目前正在尝试鉴定遗传学上较不复杂且可能更接近基因作用水平的候选内表型,例如转录组和蛋白质组表型。筛选成千上万的此类指标需要自动,高通量的方法来评估和排序潜在的内表型,例如内表型排名值。然而,尽管内表型可用于基因表征和发现,但在精神病学中对内表型方法仍有相当大的抵抗力。在这篇综述中,我们解决并阐明了与精神病学遗传学领域内表型使用相关的一些常见问题。

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