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. 2016 Dec;19(12):1563-1565.
doi: 10.1038/nn.4404. Epub 2016 Oct 3.

Ultra-rare disruptive and damaging mutations influence educational attainment in the general population

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Ultra-rare disruptive and damaging mutations influence educational attainment in the general population

Andrea Ganna et al. Nat Neurosci. 2016 Dec.

Abstract

Disruptive, damaging ultra-rare variants in highly constrained genes are enriched in individuals with neurodevelopmental disorders. In the general population, this class of variants was associated with a decrease in years of education (YOE). This effect was stronger among highly brain-expressed genes and explained more YOE variance than pathogenic copy number variation but less than common variants. Disruptive, damaging ultra-rare variants in highly constrained genes influence the determinants of YOE in the general population.

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Figures

Figure 1
Figure 1
Association between number of disruptive, damaging, and synonymous URVs in HC genes and YOE. Disruptive and damaging, but not synonymous URVs are significantly associated with reduced YOE. The size of the squares is proportional to the size of the study. The horizontal bars represent 95% confidence intervals. All the estimates are obtained from a linear regression model. Meta-analysis results are obtained using a fixed-effect approach.
Figure 2
Figure 2
Association between numbers of disruptive, damaging and synonymous URVs for different gene sets. The intersection between HC and brain-expressed genes yield the strongest reduction in YOE. We only report the meta-analysis results (N=14,133). The horizontal bars represent 95% confidence intervals. All the estimates are obtained from a linear regression model and combined using fixed-effect meta-analysis.
Figure 3
Figure 3
Association between each of the normalized scores (polygenic, runs of homozygosity, URVs and pathogenic CNVs) and YOE. The results presented are from meta-analysis of Swedish WES, Estonian WGS and Finnish WGS studies (N=13,353), except for the polygenic score, which is calculated only in the Swedish WES study (N=10,651). Notice that we plot 1-polygenic score to obtain a negative association with YOE. The horizontal bars represent 95% confidence intervals. All the estimates are obtained from a linear regression model and combined using fixed-effect meta-analysis.

Comment in

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