精神分裂症(面向对象编程)
双相情感障碍
基因组学
重性抑郁障碍
生物信息学
计算生物学
遗传异质性
病因学
表型
医学
生物
精神科
基因
遗传学
基因组
认知
作者
Joyce van de Leemput,Stephen J. Glatt,Ming T. Tsuang
标识
DOI:10.1586/14737159.2016.1171714
摘要
Neuropsychiatric disorders are difficult to diagnose because of phenotypic heterogeneity within and symptomatic overlap between disorders. This review describes how genomics and blood-based gene expression have shown potential as biomarkers for neuropsychiatric disorders (schizophrenia, bipolar disorder, and major depressive disorder) yet also discusses how a complex genetic landscape has limited sole genetic diagnostic tools for these disorders. In addition to their potential use as classifiers for neuropsychiatric disorders, genomic and blood-based biomarkers have revealed clues to the molecular pathways contributing to etiology. A comprehensive overview of studies to date has been given, and the authors provide suggestions for steps to be taken to ultimately move the laboratory-based classifiers towards application in a clinical setting. Furthermore, they share their vision for the future of these classifiers, both in clinical application and in opening up new ways to gain insights into the underlying biology.
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