Intelligence is associated with important economic and health-related life outcomes1. Despite intelligence having substantial heritability2 (0.54) and a confirmed polygenic nature, initial genetic studies were mostly underpowered3, 4, 5. Here we report a meta-analysis for intelligence of 78,308 individuals. We identify 336 associated SNPs (METAL P < 5 × 10−8) in 18 genomic loci, of which 15 are new. Around half of the SNPs are located inside a gene, implicating 22 genes, of which 11 are new findings. Gene-based analyses identified an additional 30 genes (MAGMA P < 2.73 × 10−6), of which all but one had not been implicated previously. We show that the identified genes are predominantly expressed in brain tissue, and pathway analysis indicates the involvement of genes regulating cell development (MAGMA competitive P = 3.5 × 10−6). Despite the well-known difference in twin-based heritability2 for intelligence in childhood (0.45) and adulthood (0.80), we show substantial genetic correlation (rg = 0.89, LD score regression P = 5.4 × 10−29). These findings provide new insight into the genetic architecture of intelligence.
At a glance
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- Supplementary Figure 1: Quantile–quantile plots. (93 KB)
Quantile–quantile plot for SNP-based P values (top) and gene-based P values (bottom).
- Supplementary Figure 2: Regional chromatin state plots for SNPs with P < 5 × 10−8 in four genomic loci. (201 KB)
(a–d) Chromatin state plots are included for 4 of the 18 genome-wide significant loci. The 1p31.1 and 20q13.13 loci are not included because the lead SNPs in these regions (rs66495454 and rs113315451) are indels. In each picture, the top panel shows the lead SNP (purple) and all other SNPs reaching genome-wide significance in the region. The colors represent r2 with the lead SNP. The bottom panel shows chromatin states for 127 tissue types (y axis) across the whole region. Different colors represent the different states, varying from “active TSS” (state 1) to “quiescent/low” (state 15). This information can be used to determine which SNPs to study in a functional follow-up.
- Supplementary Figure 3: Regional chromatin state plots for SNPs with P < 5 × 10−8 in six genomic loci. (95 KB)
(a–f) Chromatin state plots are included for 6 of the 18 genome-wide significant loci.
- Supplementary Figure 4: Regional chromatin state plots for SNPs with P < 5 × 10−8 in six genomic loci. (121 KB)
(a–f) Chromatin state plots are included for 6 of the 18 genome-wide significant loci.
- Supplementary Figure 5: Predictive power (R2) of the polygenic score based on different intelligence discovery GWAS studies in four independent hold-out samples. (70 KB)
Comparisons of the explained variance (R2) in cognitive ability between polygenic scores based on the current meta-analysis and previous GWAS studies. The error bars represent the standard error. Cohorts: HIQ: High IQ sample; RS: Rotterdam Study; TEDS: Twins Early Development Study; ACPRC: Age and Cognitive Performance Research Centre; Discovery GWAS: Benyamin et al. 2014: childhood IQ; Davies et al. 2016: UK Biobank cognitive test (touchscreen). The R2 for HIQ is reported on the liability scale (assuming a population prevalence of 3x10-4).
- Supplementary Text and Figures (2,749 KB)
Supplementary Figures 1–6 and Supplementary Note.
- Supplementary Tables 1–18 (3,071 KB)
Supplementary Tables 1–18.