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Depression genetic risk score is associated with anhedonia-related markers across units of analysis

机译:抑郁症遗传风险评分与跨分析单位的Anhedonia相关标记有关

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Investigations of pathophysiological mechanisms implicated in vulnerability to depression have been negatively impacted by the significant heterogeneity characteristic of psychiatric syndromes. Such challenges are also reflected in numerous null findings emerging from genome-wide association studies (GWAS) of depression. Bolstered by increasing sample sizes, recent GWAS studies have identified genetics variants linked to MDD. Among them, Okbay and colleagues (Nat. Genet. 2016 Jun;48(6):624-33) identified genetic variants associated with three well-validated depression-related phenotypes: subjective well-being, depressive symptoms, and neuroticism. Despite this progress, little is known about psychopathological and neurobiological mechanisms underlying such risk. To fill this gap, a genetic risk score (GRS) was computed from the Okbay's study for a sample of 88 psychiatrically healthy females. Across two sessions, participants underwent two well-validated psychosocial stressors, and performed two separate tasks probing reward learning both before and after stress. Analyses tested whether GRS scores predicted anhedonia-related phenotypes across three units of analyses: self-report (Snaith Hamilton Pleasure Scale), behavior (stress-induced changes in reward learning), and circuits (stress-induced changes in striatal reward prediction error; striatal volume). GRS scores were negatively associated with anhedonia-related phenotypes across all units of analyses but only circuit-level variables were significant. In addition, the amount of explained variance was systematically larger as variables were putatively closer to the effects of genes (self-report??behavior??neural circuitry). Collectively, findings implicate anhedonia-related phenotypes and neurobiological mechanisms in increased depression vulnerability, and highlight the value of focusing on fundamental dimensions of functioning across different units of analyses.
机译:涉及抑郁抑郁症的病理生理机制的调查受到精​​神审核的显着异质性特征对抑郁症的影响。这些挑战也反映在抑郁症全基因组关联研究(GWAs)出现的许多零点调查中。通过增加样品尺寸的增加,最近的GWAS研究已经确定了与MDD相关的遗传变体。其中,Okbay和同事(NAT。Genet。2016年6月48日; 48(6):624-33)鉴定了与三种良好验证的抑郁症相关表型相关的遗传变异:主观福祉,抑郁症状和神经质。尽管这一进步,但对这种风险的心理病理学和神经生物学机制很少。为了填补这一差距,从Okbay的研究中计算了遗传风险评分(GRS),用于88名精神攻击性健康女性的样本。参与者在两个会议上接受了两个经过良好验证的心理社会压力源,并在压力之前和之后进行了两个单独的任务探测奖励学习。分析测试了GRS评分是否预测了三个分析单位的厌氧相关表型:自我报告(Snaith Hamilton Quice Scale),行为(应力引起的奖励学习变化)和电路(施力奖励预测错误的压力引起的变化;纹纹卷)。 GRS评分与所有分析单位的嗜血腺癌相关表型与anhedonia相关的表型呈负相关,但只有电路级别变量很大。此外,随着基因的影响(自我报告?行为?<?神经电路),解释的方差的量被系统地较大。共同点,结果致力于抑郁症相关的表型和神经生物学机制增加了增加的抑郁症脆弱性,并突出了聚焦在不同分析单位上运作的基本维度的价值。

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