特定认知能力的遗传学

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2022-11-01 DOI:10.1016/j.intell.2022.101689
Francesca Procopio , Quan Zhou , Ziye Wang , Agnieska Gidziela , Kaili Rimfeld , Margherita Malanchini , Robert Plomin
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摘要

大多数关于认知能力测试中个体差异的研究都集中在一般认知能力(g)上,这是Cattell-Horn-Carroll (CHC)智力层次模型的最高水平。大约50%的g变异是由于遗传的DNA差异(遗传性),这种差异随着发育而增加。关于CHC模型中层的遗传学知之甚少,其中包括16个广泛的因素,如流体推理、处理速度和定量知识。我们对来自77篇出版物的747,567个单卵-双卵双胞胎的比较进行了荟萃分析,研究了这些中间水平因素,我们称之为特定认知能力(SCA),尽管这些因素并非独立于g。双胞胎比较可用于16个CHC域中的11个。所有SCA的平均遗传率为56%,与g相似。然而,SCA之间的遗传率存在显著差异,SCA没有显示出g所见的遗传率的发育增加。我们还研究了独立于g的SCA (SCA.g)。一个令人惊讶的发现是SCA。尽管与g共变的SCA方差的25%已被去除,但g仍然具有很大的可遗传性(平均为53%)。我们的综述强调需要对SCA,特别是SCA.g进行更多的研究。尽管SCA研究存在局限性,但我们的综述框架了基因组研究将使用多基因评分来预测SCA和SCA.g的期望。SCA的全基因组关联研究。g需要创建多基因评分,可以预测独立于g的认知能力和残疾的SCA概况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The genetics of specific cognitive abilities

Most research on individual differences in performance on tests of cognitive ability focuses on general cognitive ability (g), the highest level in the three-level Cattell-Horn-Carroll (CHC) hierarchical model of intelligence. About 50% of the variance of g is due to inherited DNA differences (heritability) which increases across development. Much less is known about the genetics of the middle level of the CHC model, which includes 16 broad factors such as fluid reasoning, processing speed, and quantitative knowledge. We provide a meta-analytic review of 747,567 monozygotic-dizygotic twin comparisons from 77 publications for these middle-level factors, which we refer to as specific cognitive abilities (SCA), even though these factors are not independent of g. Twin comparisons were available for 11 of the 16 CHC domains. The average heritability across all SCA is 56%, similar to that of g. However, there is substantial differential heritability across SCA and SCA do not show the developmental increase in heritability seen for g. We also investigated SCA independent of g (SCA.g). A surprising finding is that SCA.g remain substantially heritable (53% on average), even though 25% of the variance of SCA that covaries with g has been removed. Our review highlights the need for more research on SCA and especially on SCA.g. Despite limitations of SCA research, our review frames expectations for genomic research that will use polygenic scores to predict SCA and SCA.g. Genome-wide association studies of SCA.g are needed to create polygenic scores that can predict SCA profiles of cognitive abilities and disabilities independent of g.

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CiteScore
7.20
自引率
4.30%
发文量
567
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