Unraveling the link between CNVs, cognition and individual neuroimaging deviation scores from a population-based reference cohort

Charlotte Fraza, Ida E. Sønderby, Rune Boen, Yingjie Shi, Christian F. Beckmann, Andre F. Marquand
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Abstract

Copy number variations (CNVs) are genetic variants that can have a substantial influence on neurodevelopment, neuropsychiatric traits and morphometric brain changes, yet their impact at the individual level remains unknown. Common case–control approaches for analyzing CNVs suffer from limitations; they are unable to inform on individual variation between carriers and preclude the study of rarer variants due to their limited sample size. Here we aim to map individualized brain deviation scores in individuals with pathogenic CNVs. We used normative modeling to map neuroimaging features from several large neuroimaging datasets and applied these models to understand the neurobiological profile of CNV carriers in the UK Biobank cohort. We highlight the 1q21.1 distal deletion and duplication, as an example of our individual-level normative modeling–CNV approach. Next, we count the number of extreme deviations for each participant from the mean and centiles of variation from population reference norms, giving us a combined risk score per participant per imaging modality. We show a high degree of heterogeneity between pathogenic CNV carriers in their implicated brain regions. For example, the cerebellum, brainstem and pallidum show large negative deviations for specific 1q21.1 duplication carriers. For certain 1q21.1 deletion CNV carriers, the caudate and accumbens show notable positive deviations. Finally, we show that negative deviations from these models are correlated to cognitive function. This study marks a starting point in understanding the impact of pathogenic CNVs on brain phenotypes, underscoring the intricacies of these genetic variations at the individual level and providing a means to study the effects of rare CNVs in carrier individuals. Using normative modeling and focusing on individual differences, the authors explore the link between copy number variations, brain structure and cognitive abilities.

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从基于人群的参考队列中揭示CNVs,认知和个体神经成像偏差评分之间的联系
拷贝数变异(CNVs)是一种对神经发育、神经精神特征和大脑形态变化有重大影响的遗传变异,但其在个体水平上的影响尚不清楚。用于分析CNVs的常见病例对照方法存在局限性;由于样本量有限,他们无法了解携带者之间的个体差异,也无法排除对罕见变异的研究。在这里,我们的目标是绘制具有致病性CNVs的个体的个体化脑偏差评分。我们使用规范建模来映射来自几个大型神经成像数据集的神经成像特征,并应用这些模型来了解英国生物银行队列中CNV携带者的神经生物学特征。我们强调了1q21.1远端缺失和重复,作为我们个人水平规范建模- cnv方法的一个例子。接下来,我们从人口参考规范的平均值和百分位数变化中计算每个参与者的极端偏差的数量,从而为我们提供每个参与者每种成像模式的综合风险评分。我们发现致病性CNV携带者在其相关脑区之间存在高度异质性。例如,小脑、脑干和苍白球对特定的1q21.1复制载体表现出较大的负偏差。对于某些1q21.1缺失的CNV携带者,尾状核和伏隔核表现出显著的正偏差。最后,我们表明这些模型的负偏差与认知功能相关。这项研究标志着理解致病性CNVs对大脑表型的影响的起点,强调了这些遗传变异在个体水平上的复杂性,并为研究罕见CNVs在携带者个体中的作用提供了一种手段。使用规范模型和关注个体差异,作者探讨了拷贝数变化、大脑结构和认知能力之间的联系。
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