Genes Cognition and Psychosis Program, Division of Intramural Research Program, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, MSC 1379, Bethesda, MD 20892, USA.
Neuroimage. 2010 Nov 15;53(3):804-9. doi: 10.1016/j.neuroimage.2010.01.035. Epub 2010 Jan 18.
Imaging genetics provides a unique tool with which to explore and evaluate the functional impact of brain-relevant genetic polymorphisms with the potential to understand their impact on behavior. Because statistical association with clinical diagnosis does not establish biological significance nor identify a mechanism of risk, imaging genetics is a uniquely valuable strategy for extending statistical evidence with biological data. Applications include identifying biologic mechanisms and pathways that mediate individual differences in complex behaviors and vulnerability to disease, and conversely identifying genes that contribute to functional variation in brain circuitry. Additionally, neuroimaging genetics can validate data that suggest an association with psychiatric illness as well as providing evidence of the mechanism of risk. This review also outlines several critical principles of imaging genetics including a rational approach to the selection of candidate genes, the selection of task paradigms that could be plausibly linked to the biology of the gene of interest, and careful control of non-genetic factors. The future of imaging genetics holds great promise for brain research and for biologic validation of genetic validation in CNS disorders, but a disciplined application of the basic principles outlined in this review is critical.
影像遗传学为探索和评估与大脑相关的遗传多态性的功能影响提供了一种独特的工具,有潜力帮助我们了解它们对行为的影响。由于与临床诊断的统计学关联并不能确定生物学意义,也不能确定风险的机制,因此影像遗传学是扩展具有生物学数据的统计证据的独特有效策略。应用包括确定生物机制和途径,这些机制和途径可以调节复杂行为和疾病易感性的个体差异,并反过来确定导致大脑回路功能变异的基因。此外,神经影像学遗传学可以验证与精神疾病相关的数据,以及提供风险机制的证据。本文还概述了影像遗传学的几个关键原则,包括对候选基因进行合理选择的方法、选择可能与感兴趣基因的生物学相关的任务范式,以及对非遗传因素的仔细控制。影像遗传学的未来为大脑研究和中枢神经系统疾病的遗传验证提供了巨大的前景,但严格应用本文中概述的基本原则至关重要。