Extended Data Figure 2: Height ExomeChip association results. | Nature

Extended Data Figure 2: Height ExomeChip association results.

From: Rare and low-frequency coding variants alter human adult height

Extended Data Figure 2

a, Quantile–quantile plot of ExomeChip variants and their association to adult height under an additive genetic model in individuals of European ancestry. We stratified results on the basis of allele frequency. b, Manhattan plot of all ExomeChip variants and their association to adult height under an additive genetic model in individuals of European ancestry with a focus on the 553 independent SNPs, of which 469 have a MAF > 5% (grey), 55 have MAF between 1–5% (green), and 29 have a MAF < 1% (blue). c, Linkage disequilibrium (LD) score regression analysis for the height association results in European-ancestry studies. In the plot, each point represents a linkage disequilibrium score quantile, where the x axis of the point is the mean linkage disequilibrium score of variants in that quantile and the y axis is the mean χ2 statistic of variants in that quantile. The linkage disequilibrium score regression slope of the black line is calculated using equation 1 in ref. 34, which is estimated upwards owing to the small number of common variants (n = 15,848) and the design of the ExomeChip. The linkage disequilibrium score regression intercept is 1.4, the λGC is 2.7, the mean χ2 is 7.0, and the ratio statistic of (intercept − 1)/(mean χ2 − 1) is 0.067 (s.e.m. = 0.012). d, Scatter plot comparison of the effect sizes for all variants that reached significance in the European-ancestry-discovery results (n = 381,625) and results including only studies with sample sizes of more than 5,000 individuals (n = 241,453).

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