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Preliminary evidence for genetic overlap between body mass index and striatal reward response

机译:体重指数与纹状体奖赏反应之间遗传重叠的初步证据

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The reward-processing network is implicated in the aetiology of obesity. Several lines of evidence suggest obesity-linked genetic risk loci (such as DRD2 and FTO ) may influence individual variation in body mass index (BMI) through neuropsychological processes reflected in alterations in activation of the striatum during reward processing. However, no study has tested the broader hypotheses that (a) the relationship between BMI and reward-related brain activation (measured through the blood oxygenation-dependent (BOLD) signal) may be observed in a large population study and (b) the overall genetic architecture of these phenotypes overlap, an assumption critical for the progression of imaging genetic studies in obesity research. Using data from the Human Connectome Project ( N =?1055 healthy, young individuals: average BMI?=?26.4), we first establish a phenotypic relationship between BMI and ventral striatal (VS) BOLD during the processing of rewarding (monetary) stimuli ( β =?0.44, P =?0.013), accounting for potential confounds. BMI and VS BOLD were both significantly influenced by additive genetic factors (H2r?=?0.57; 0.12, respectively). Further decomposition of this variance suggested that the relationship was driven by shared genetic ( ρ g?=?0.47, P =?0.011), but not environmental ( ρ E?=??0.07, P =?0.29) factors. To validate the assumption of genetic pleiotropy between BMI and VS BOLD, we further show that polygenic risk for higher BMI is also associated with increased VS BOLD response to appetitive stimuli (calorically high food images), in an independent sample ( N =?81; P FWE?ROI?
机译:奖励处理网络与肥胖的病因有关。有几条证据表明,与肥胖相关的遗传风险基因座(例如DRD2和FTO)可能通过奖励过程中纹状体激活改变中反映的神经心理学过程影响体重指数(BMI)的个体变化。但是,没有一项研究能检验更广泛的假设,即在大规模人群研究中可能会观察到(a)BMI与奖赏相关的大脑激活之间的关系(通过血液氧合依赖性(BOLD)信号进行测量),以及(b)总体这些表型的遗传结构重叠,这是肥胖研究中成像遗传学研究进展的关键假设。使用人类连接基因组计划(N =?1055健康,年轻个体:平均BMI?=?26.4)的数据,我们首先在奖励性(货币)刺激过程中建立BMI与腹侧纹状体(VS)BOLD之间的表型关系( β= 0.44,P = 0.013),说明了潜在的混杂因素。 BMI和VS BOLD均受累加遗传因素的显着影响(H2r?=?0.57;分别为0.12)。对这种方差的进一步分解表明,这种关系是由共享遗传(ρ g ?=?0.47,P =?0.011)驱动的,而不是环境因素(ρ E ?= 0.07,P = 0.29)倍。为了验证BMI和VS BOLD之间遗传多态性的假设,我们进一步表明,在一个独立样本中,较高BMI的多基因风险也与VS BOLD对食欲刺激的反应增加(热量高的食物图像)相关(N =?81; P FWE?ROI ?<?0.005)。总之,这些发现表明,遗传因素将肥胖的风险与大脑奖励回路关键节点内的变化联系在一起。这些观察结果为将来的工作提供了基础,以探索利用成像遗传学方法赋予肥胖风险的遗传基因座的机械作用。

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