Docherty Anna R, Moscati Arden A, Fanous Ayman H
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA; Washington Veterans Affairs Healthcare System, Washington D.C., USA; Georgetown University School of Medicine, Washington D.C., USA.
Curr Behav Neurosci Rep. 2016 Sep;3(3):256-263. doi: 10.1007/s40473-016-0084-3. Epub 2016 Jul 2.
The following review provides some description of the movement in cross-disorder psychiatric genomics toward addressing both comorbidity and polygenicity.
We attempt to show how dimensional approaches to the phenotype have led to further addressing the problem of comorbidity of psychiatric diagnoses. And we also attempt to show how a dimensional approach to the genome, with different statistical methods from traditional genome-wide association analyses, has begun to resolve the problem of massive polygenicity.
Cross-disorder research, of any area in psychiatry, arguably has the most potential to inform clinical diagnosis, early detection and prevention strategies, and pharmacological treatment research. Future research might leverage what we now know to inform developmental studies of risk and resilience.
以下综述介绍了跨疾病精神病基因组学在解决共病性和多基因性方面的一些进展。
我们试图展示对表型采用维度方法如何进一步解决精神疾病诊断的共病问题。我们还试图展示对基因组采用维度方法,结合与传统全基因组关联分析不同的统计方法,如何开始解决大量多基因性的问题。
精神病学任何领域的跨疾病研究都极有可能为临床诊断、早期检测与预防策略以及药物治疗研究提供信息。未来的研究或许可以利用我们目前所掌握的知识,为风险与恢复力的发育研究提供信息。