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Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence.
Cerebral Cortex ( IF 2.9 ) Pub Date : 2020-04-14 , DOI: 10.1093/cercor/bhz270
Tristram A Lett 1, 2 , Bob O Vogel 1 , Stephan Ripke 1, 3, 4 , Carolin Wackerhagen 1 , Susanne Erk 1 , Swapnil Awasthi 1, 4 , Vassily Trubetskoy 1, 4 , Eva J Brandl 1 , Sebastian Mohnke 1 , Ilya M Veer 1 , Markus M Nöthen 5, 6 , Marcella Rietschel 7 , Franziska Degenhardt 5, 6 , Nina Romanczuk-Seiferth 1 , Stephanie H Witt 7 , Tobias Banaschewski 8 , Arun L W Bokde 9 , Christian Büchel 10 , Erin B Quinlan 11 , Sylvane Desrivières 11 , Herta Flor 12, 13 , Vincent Frouin 14 , Hugh Garavan 15 , Penny Gowland 16 , Bernd Ittermann 17 , Jean-Luc Martinot 18 , Marie-Laure Paillère Martinot 19 , Frauke Nees 8, 12 , Dimitri Papadopoulos-Orfanos 14 , Tomáš Paus 20 , Luise Poustka 21 , Juliane H Fröhner 22 , Michael N Smolka 22 , Robert Whelan 23 , Gunter Schumann 11 , Heike Tost 7 , Andreas Meyer-Lindenberg 7 , Andreas Heinz 1 , Henrik Walter 1 ,
Affiliation  

Recent large-scale, genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with general intelligence. The cumulative influence of these loci on brain structure is unknown. We examined if cortical morphology mediates the relationship between GWAS-derived polygenic scores for intelligence (PSi) and g-factor. Using the effect sizes from one of the largest GWAS meta-analysis on general intelligence to date, PSi were calculated among 10 P value thresholds. PSi were assessed for the association with g-factor performance, cortical thickness (CT), and surface area (SA) in two large imaging-genetics samples (IMAGEN N = 1651; IntegraMooDS N = 742). PSi explained up to 5.1% of the variance of g-factor in IMAGEN (F1,1640 = 12.2-94.3; P < 0.005), and up to 3.0% in IntegraMooDS (F1,725 = 10.0-21.0; P < 0.005). The association between polygenic scores and g-factor was partially mediated by SA and CT in prefrontal, anterior cingulate, insula, and medial temporal cortices in both samples (PFWER-corrected < 0.005). The variance explained by mediation was up to 0.75% in IMAGEN and 0.77% in IntegraMooDS. Our results provide evidence that cumulative genetic load influences g-factor via cortical structure. The consistency of our results across samples suggests that cortex morphology could be a novel potential biomarker for neurocognitive dysfunction that is among the most intractable psychiatric symptoms.

中文翻译:

皮质表面调节智力多基因评分和一般智力之间的关系。

最近的大规模全基因组关联研究(GWAS)已经确定了数百个与一般智力相关的遗传位点。这些基因座对大脑结构的累积影响尚不清楚。我们检查了皮质形态是否介导 GWAS 衍生的多基因智力评分 (PSi) 和 g 因子之间的关系。使用迄今为止最大的一般智力 GWAS 荟萃分析之一的效应大小,在 10 个 P 值阈值中计算 PSi。在两个大型成像遗传学样本(IMAGEN N = 1651;IntegraMooDS N = 742)中评估了 PSi 与 g 因子性能、皮质厚度 (CT) 和表面积 (SA) 的关联。PSi 在 IMAGEN 中解释了高达 5.1% 的 g 因子方差(F1,1640 = 12.2-94.3;P < 0.005),在 IntegraMooDS 中解释了高达 3.0% 的 g 因子方差(F1,725 = 10.0-21.0;P < 0.005)。多基因评分和 g 因子之间的关联部分由两个样本中前额叶、前扣带回、岛叶和内侧颞叶皮质的 SA 和 CT 介导(PFWER 校正 < 0.005)。由中介解释的方差在 IMAGEN 中高达 0.75%,在 IntegraMooDS 中高达 0.77%。我们的结果提供了累积遗传负荷通过皮质结构影响 g 因子的证据。我们的跨样本结果的一致性表明,皮层形态可能是神经认知功能障碍的一种新的潜在生物标志物,神经认知功能障碍是最棘手的精神症状之一。
更新日期:2020-04-23
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