Fig. 1: vQTLs for 29 blood cell traits and their comparison with additive QTLs. | Nature Communications

Fig. 1: vQTLs for 29 blood cell traits and their comparison with additive QTLs.

From: Genome-wide analyses of variance in blood cell phenotypes provide new insights into complex trait biology and prediction

Fig. 1: vQTLs for 29 blood cell traits and their comparison with additive QTLs.The alternative text for this image may have been generated using AI.

a Miami plot showing the best (smallest nominal p value, Levene’s test, see methods) vQTL across 29 blood cell traits (top plot) and the corresponding best additive QTLs (bottom plot). Red dots are genome-wide significant independent vQTLs. b Example of pleiotropic effects of the C allele of rs10803164 for the long non-coding RNA LINC02768 on blood cell trait variance. Blue indicates the effect on trait variance had p < 4.6 × 10−9 (nominal study-wide GWAS significance, Levene’s test, see “Methods” and Data Availability). c Genetic correlation (LDSC) between blood cell trait variance and trait level. Blue indicates the correlation had multi-testing adjusted p < 0.05 (Supplementary Data 6). d Selection coefficient estimated by BayesS29 for trait variance and level. All analyses used UK Biobank data with sample size ~N ~ 408,111. In panels (b–d), data are presented as mean values ± SEM. Full names of blood cell traits can be found in Supplementary Data 1.

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