Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
Neuropsychopharmacology. 2011 Aug;36(9):1940-7. doi: 10.1038/npp.2011.82. Epub 2011 May 18.
Research integrating neuroimaging and molecular genetics has yielded important insights into how variability in brain chemistry predicts individual differences in brain function, behavior and related risk for psychopathology. However, existing studies have been limited by their focus on the independent effects of single polymorphisms with modest impact on brain chemistry. Here, we explored the effects of five functional polymorphisms affecting dopamine (DA) signaling on reward-related ventral striatum (VS) reactivity, measured with BOLD fMRI, in a sample of 69 Caucasians. We also compiled individual multilocus genetic profile scores reflecting the additive effects of alleles conferring relatively increased DA signaling across the five polymorphic loci: DAT1 9-repeat, DRD4 7-repeat, DRD2 -141C Del, DRD2 Taq1A C (A2), and COMT (158)Met. These multilocus DA profile scores accounted for 10.9% of the inter-individual variability in reward-related VS reactivity. In contrast, none of the individual polymorphisms accounted for significant variability. Our results show that biologically informed multilocus genetic profiles have unique promise as indices of variability in brain chemistry that may yield advances in mapping individual differences in behaviorally relevant brain function. In turn, such genetic profiles may fuel gene-environment interactions research establishing trajectories of risk for psychopathology.
研究将神经影像学和分子遗传学相结合,深入了解大脑化学物质的变化如何预测大脑功能、行为和相关精神病理学风险的个体差异。然而,现有研究受到其仅关注对大脑化学物质具有适度影响的单一多态性的独立作用的限制。在这里,我们在 69 名白种人中探索了影响多巴胺(DA)信号的五个功能多态性对与奖励相关的腹侧纹状体(VS)反应性的影响,用 BOLD fMRI 进行测量。我们还编译了个体多基因遗传图谱评分,反映了五个多态性位点中赋予相对增加的 DA 信号的等位基因的加性效应:DAT1 9 重复、DRD4 7 重复、DRD2-141C Del、DRD2 Taq1A C(A2)和 COMT(158)Met。这些多基因 DA 图谱评分解释了与奖励相关的 VS 反应性个体间变异性的 10.9%。相比之下,没有一个单一的多态性可以解释显著的变异性。我们的结果表明,生物信息学多基因遗传图谱作为大脑化学物质变异性的指标具有独特的前景,可能有助于绘制与行为相关的大脑功能的个体差异图谱。反过来,这种遗传图谱可能会推动基因-环境相互作用的研究,为精神病理学风险的轨迹建立提供依据。