Kirkpatrick Robert M, McGue Matt, Iacono William G, Miller Michael B, Basu Saonli, Pankratz Nathan
University of Minnesota Department of Psychology, 75 E. River Rd, Minneapolis, MN 55455.
University of Minnesota School of Public Health, Division of Biostatistics, 420 Delaware St SE, Minneapolis, MN 55455.
Intelligence. 2014 Jan 1;42:98-106. doi: 10.1016/j.intell.2013.11.005.
Although twin, family, and adoption studies have shown that general cognitive ability (GCA) is substantially heritable, GWAS has not uncovered a genetic polymorphism replicably associated with this phenotype. However, most polymorphisms used in GWAS are common SNPs. The present study explores use of a different class of genetic variant, the copy-number variant (CNV), to predict GCA in a sample of 6,199 participants, combined from two longitudinal family studies. We aggregated low-frequency (<5%) CNV calls into eight different mutational burden scores, each reflecting a different operationalization of mutational burden. We further conducted three genome-wide association scans, each of which utilized a different subset of identified low-frequency CNVs. Association signals from the burden analyses were generally small in effect size, and none were statistically significant after a careful Type I error correction was applied. No signal from the genome-wide scans significantly differed from zero at the adjusted Type I error rate. Thus, the present study provides no evidence that CNVs underlie heritable variance in GCA, though we cannot rule out the possibility of very rare or small-effect CNVs for this trait, which would require even larger samples to detect. We interpret these null results in light of recent breakthroughs that aggregate SNP effects to explain much, but not all, of the heritable variance in some quantitative traits.
尽管双胞胎、家族和收养研究表明,一般认知能力(GCA)具有高度遗传性,但全基因组关联研究(GWAS)尚未发现与该表型可重复关联的基因多态性。然而,GWAS中使用的大多数多态性是常见的单核苷酸多态性(SNP)。本研究探索使用另一类遗传变异——拷贝数变异(CNV),来预测来自两项纵向家族研究的6199名参与者样本中的GCA。我们将低频(<5%)CNV调用汇总为八个不同的突变负担分数,每个分数反映了突变负担的不同操作定义。我们进一步进行了三次全基因组关联扫描,每次扫描都使用了已识别的低频CNV的不同子集。负担分析的关联信号效应大小通常较小,在进行仔细的I型错误校正后,没有一个具有统计学意义。在调整后的I型错误率下,全基因组扫描的信号均未显著不同于零。因此,本研究没有提供证据表明CNV是GCA遗传变异的基础,尽管我们不能排除该性状存在非常罕见或效应微小的CNV的可能性,而这需要更大的样本量才能检测到。我们根据最近的突破来解释这些阴性结果,这些突破汇总了SNP效应,以解释某些数量性状中大部分但不是全部的遗传变异。