Childhood intelligence is heritable, highly polygenic and associated with FNBP1L.

Childhood intelligence is heritable, highly polygenic and associated with FNBP1L.
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DOI:
10.1038/mp.2012.184
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发表时间:
2014-02
影响因子:
11
通讯作者:
Visscher, P. M.
Visscher, P. M.
中科院分区:
医学1区
文献类型:
--
作者:
Benyamin, B.;St Pourcain, B.;Davis, O. S.;Davies, G.;Hansell, N. K.;Brion, M-J A.;Kirkpatrick, R. M.;Cents, R. A. M.;Franic, S.;Miller, M. B.;Haworth, C. M. A.;Meaburn, E.;Price, T. S.;Evans, D. M.;Timpson, N.;Kemp, J.;Ring, S.;McArdle, W.;Medland, S. E.;Yang, J.;Harris, S. E.;Liewald, D. C.;Scheet, P.;Xiao, X.;Hudziak, J. J.;de Geus, E. J. C.;Jaddoe, V. W. V.;Starr, J. M.;Verhulst, F. C.;Pennell, C.;Tiemeier, H.;Iacono, W. G.;Palmer, L. J.;Montgomery, G. W.;Martin, N. G.;Boomsma, D. I.;Posthuma, D.;McGue, M.;Wright, M. J.;Smith, G. Davey;Deary, I. J.;Plomin, R.;Visscher, P. M.

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通过心理测量认知测试测量的儿童智力是许多重要生活成果的有力预测因素,包括教育程度、收入、健康和寿命。从双胞胎,家庭和收养研究的结果是一致的一般智力是高度遗传和遗传稳定的整个生命过程。目前还没有与儿童智力密切相关的基因位点或变异的报道。在这里,我们报告了第一个全基因组关联研究(GWAS)对儿童智力(年龄范围6-18岁)从17 989人在6个发现和3个复制样本。虽然没有检测到具有全基因组显著性的单个单核苷酸多态性(SNPs),但我们发现,常见SNPs的综合效应解释了三个最大队列中22-46%的儿童智力表型变异(P = 3.9 × 10−15,0.014和0.028)。FNBP 1 L,以前被报道为成人智力最显着相关的基因,也与儿童智力显着相关(P = 0.003)。多基因预测分析表明,所有复制队列中的预测因子和结果之间存在显着相关性。在三个独立的验证队列中,预测因子对儿童智力的解释比例分别为1.2%(P = 6 × 10−5)、3.5%(P = 10−3)和0.5%(P = 6 × 10−5)。如果儿童智力的遗传结构与体重指数或身高的遗传结构相似,那么在样本量一定的情况下,这些遗传预测结果与预期是一致的。我们的研究为儿童智力的遗传性和多基因性提供了分子支持。需要更大的样本量来检测具有全基因组意义的个体变异。
Intelligence in childhood, as measured by psychometric cognitive tests, is a strong predictor of many important life outcomes, including educational attainment, income, health and lifespan. Results from twin, family and adoption studies are consistent with general intelligence being highly heritable and genetically stable throughout the life course. No robustly associated genetic loci or variants for childhood intelligence have been reported. Here, we report the first genome-wide association study (GWAS) on childhood intelligence (age range 6–18 years) from 17 989 individuals in six discovery and three replication samples. Although no individual single-nucleotide polymorphisms (SNPs) were detected with genome-wide significance, we show that the aggregate effects of common SNPs explain 22–46% of phenotypic variation in childhood intelligence in the three largest cohorts (P = 3.9 × 10−15, 0.014 and 0.028). FNBP1L, previously reported to be the most significantly associated gene for adult intelligence, was also significantly associated with childhood intelligence (P = 0.003). Polygenic prediction analyses resulted in a significant correlation between predictor and outcome in all replication cohorts. The proportion of childhood intelligence explained by the predictor reached 1.2% (P = 6 × 10−5), 3.5% (P = 10−3) and 0.5% (P = 6 × 10−5) in three independent validation cohorts. Given the sample sizes, these genetic prediction results are consistent with expectations if the genetic architecture of childhood intelligence is like that of body mass index or height. Our study provides molecular support for the heritability and polygenic nature of childhood intelligence. Larger sample sizes will be required to detect individual variants with genome-wide significance.
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