Craddock Nick, O'Donovan M C, Owen M J
Schizophr Bull. 2009 May;35(3):482-90. doi: 10.1093/schbul/sbp020. Epub 2009 Mar 27.
As a result of improving technologies and greatly increased sample sizes, the last 2 years has seen unprecedented advances in identification of specific genetic risk factors for psychiatric phenotypes. Strong genetic associations have been reported at common polymorphisms within ANK3 and CACNA1C in bipolar disorder and ZNF804A in schizophrenia and a relatively specific association between common variation in GABA(A) receptor genes and cases with features of both bipolar disorder and schizophrenia. Further, the occurrence of rare copy number variants (CNVs) has been shown to be increased in schizophrenia compared with controls. These emerging data provide a powerful resource for exploring the relationship between psychiatric phenotypes and can, and should, be used to inform conceptualization, classification, and diagnosis in psychiatry. It is already clear that, in general, genetic associations are not specific to one of the traditional diagnostic categories. For example, variation at ZNF804A is associated with risk of both bipolar disorder and schizophrenia, and some rare CNVs are associated with risk of autism and epilepsy as well as schizophrenia. These data are not consistent with a simple dichotomous model of functional psychosis and indicate the urgent need for moves toward approaches that (a) better represent the range of phenotypic variation seen in the clinical population and (b) reflect the underlying biological variation that gives rise to the phenotypes. We consider the implications for models of psychosis and the importance of recognizing and studying illness that has prominent affective and psychotic features. We conclude that if psychiatry is to translate the opportunities offered by new research methodologies, we must finally abandon a 19th-century dichotomy and move to a classificatory approach that is worthy of the 21st century.
由于技术进步以及样本量大幅增加,在过去两年中,精神疾病表型特定遗传风险因素的识别取得了前所未有的进展。在双相情感障碍中,ANK3和CACNA1C的常见多态性以及精神分裂症中ZNF804A的常见多态性已报告有很强的遗传关联,并且GABA(A)受体基因的常见变异与双相情感障碍和精神分裂症特征兼具的病例之间存在相对特定的关联。此外,与对照组相比,精神分裂症患者中罕见拷贝数变异(CNV)的发生率有所增加。这些新出现的数据为探索精神疾病表型之间的关系提供了强大资源,并且能够而且应该用于为精神病学的概念化、分类和诊断提供信息。很明显,一般来说,遗传关联并不特定于传统诊断类别之一。例如,ZNF804A的变异与双相情感障碍和精神分裂症的风险均相关,一些罕见的CNV与自闭症、癫痫以及精神分裂症的风险相关。这些数据与功能性精神病的简单二分模型不一致,表明迫切需要转向以下方法:(a)更好地代表临床人群中所见的表型变异范围;(b)反映导致这些表型的潜在生物学变异。我们考虑了这些发现对精神病模型的影响以及认识和研究具有突出情感和精神病特征疾病的重要性。我们得出结论,如果精神病学要转化新研究方法带来的机遇,我们最终必须摒弃19世纪的二分法,转向一种配得上21世纪的分类方法。