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结构架构和大脑网络效率将多基因评分与智力联系起来。

Structural architecture and brain network efficiency link polygenic scores to intelligence.

机构信息

Department of Psychology and Neuroscience, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Dortmund, Germany.

Biopsychology, Institute for Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany.

出版信息

Hum Brain Mapp. 2023 Jun 1;44(8):3359-3376. doi: 10.1002/hbm.26286. Epub 2023 Apr 4.

Abstract

Intelligence is highly heritable. Genome-wide association studies (GWAS) have shown that thousands of alleles contribute to variation in intelligence with small effect sizes. Polygenic scores (PGS), which combine these effects into one genetic summary measure, are increasingly used to investigate polygenic effects in independent samples. Whereas PGS explain a considerable amount of variance in intelligence, it is largely unknown how brain structure and function mediate this relationship. Here, we show that individuals with higher PGS for educational attainment and intelligence had higher scores on cognitive tests, larger surface area, and more efficient fiber connectivity derived by graph theory. Fiber network efficiency as well as the surface of brain areas partly located in parieto-frontal regions were found to mediate the relationship between PGS and cognitive performance. These findings are a crucial step forward in decoding the neurogenetic underpinnings of intelligence, as they identify specific regional networks that link polygenic predisposition to intelligence.

摘要

智力具有高度遗传性。全基因组关联研究(GWAS)表明,数千个等位基因对智力的变异有微小的影响。多基因评分(PGS)将这些影响综合为一个遗传综合指标,越来越多地用于研究独立样本中的多基因效应。虽然 PGS 可以解释智力差异的很大一部分,但大脑结构和功能如何介导这种关系在很大程度上是未知的。在这里,我们发现,PGS 较高的人在教育程度和智力方面的得分更高,他们的认知测试得分更高,通过图论得出的大脑表面积更大,纤维连接效率更高。研究发现,纤维网络效率以及部分位于顶额区域的脑区表面积可以介导 PGS 与认知表现之间的关系。这些发现是解码智力神经遗传学基础的重要一步,因为它们确定了将多基因倾向与智力联系起来的特定区域网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8e0/10171514/b92a29a95218/HBM-44-3359-g004.jpg

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