Limited efforts have been paid to evaluate the potential relationships between structural and functional brain imaging and intelligence until now. We performed a two-stage analysis to systematically explore the relationships between 3144 brain image-derived phenotypes (IDPs) and intelligence. First, by integrating genome-wide association studies (GWAS) summaries data of brain IDPs and two GWAS summary datasets of intelligence, we systematically scanned the relationship between each of the 3144 brain IDPs and intelligence through linkage disequilibrium score regression (LDSC) analysis. Second, using the individual-level genotype and intelligence data of 160 124 subjects derived from UK Biobank datasets, polygenetic risk scoring (PRS) analysis was performed to replicate the common significant associations of the first stage. In the first stage, LDSC identified 6 and 2 significant brain IDPs significantly associated with intelligence dataset1 and dataset2, respectively. It is interesting that NET100_0624 showed genetic correlations with intelligence in the two datasets of intelligence. After adjusted for age and sex as the covariates, NET100_0624 (P = 5.26 × 10-20, Pearson correlation coefficients = -0.02) appeared to be associated with intelligence by PRS analysis of UK Biobank samples. Our findings may help to understand the genetic mechanisms of the effects of brain structure and function on the development of intelligence.

中文翻译：

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智力和脑成像表型之间的大规模遗传相关扫描。

迄今为止，在评估结构性和功能性脑成像与智力之间的潜在关系方面付出了有限的努力。我们进行了两阶段分析，以系统地探索 3144 种大脑图像衍生表型 (IDP) 与智力之间的关系。首先，通过整合全基因组关联研究 (GWAS) 大脑 IDP 摘要数据和两个 GWAS 智力摘要数据集，我们通过连锁不平衡评分回归 (LDSC) 分析系统地扫描了 3144 个大脑 IDP 中的每一个与智力之间的关系。其次，使用来自英国生物银行数据集的 160 124 名受试者的个体水平基因型和智力数据，进行多基因风险评分 (PRS) 分析以复制第一阶段的共同显着关联。在第一阶段，LDSC 确定了 6 个和 2 个显着的大脑 IDP，分别与智力数据集 1 和数据集 2 显着相关。有趣的是，NET100_0624 在两个智力数据集中显示出与智力的遗传相关性。将年龄和性别作为协变量进行调整后，NET100_0624（P = 5.26 × 10-20，Pearson 相关系数 = -0.02）似乎与英国生物银行样本的 PRS 分析的智力相关。我们的发现可能有助于了解大脑结构和功能对智力发展影响的遗传机制。将年龄和性别作为协变量进行调整后，NET100_0624（P = 5.26 × 10-20，Pearson 相关系数 = -0.02）似乎与英国生物银行样本的 PRS 分析的智力相关。我们的发现可能有助于了解大脑结构和功能对智力发展影响的遗传机制。将年龄和性别作为协变量进行调整后，NET100_0624（P = 5.26 × 10-20，Pearson 相关系数 = -0.02）似乎与英国生物银行样本的 PRS 分析的智力相关。我们的发现可能有助于了解大脑结构和功能对智力发展影响的遗传机制。