Extended Data Fig. 5: Comparison of the effect sizes for 312 POAG genome-wide significant independent SNPs from multi-ancestry meta-analysis against their effect sizes in VCDR and IOP grouped by different P-value thresholds.
From: Large-scale multitrait genome-wide association analyses identify hundreds of glaucoma risk loci
a, Plot showing the comparison with VCDR (n = 312 independent SNPs). The x-axis shows the effect sizes in multi-ancestry meta-analysis of POAG. The y-axis shows the effect sizes in VCDR. The SNPs are shown in different colors based on different P values in VCDR (P < 5 × 10−8; ‘<0.05/312’: 5 × 10−8 ≤ P < 0.05/312; ‘<0.05’: 0.05/312 ≤ P < 0.05; P ≥ 0.05). b, Plot showing the comparison with IOP (n = 312 independent SNPs). The SNPs are shown in different colors based on different P values in IOP (P < 5 × 10−8; ‘<0.05/312’: P < 5 × 10−8 ≤ P < 0.05/312; ‘<0.05’: 0.05/312 ≤ P < 0.05; P ≥ 0.05). The dots show the effect sizes of SNPs, and the error bars show the 95% confidence interval of the estimations of SNPs effect sizes. In our previous work, we have shown that the genetic correlation between VCDR and POAG is 0.5, and many VCDR significant loci are not necessarily associated with POAG. In this figure, many POAG SNPs are not associated with VCDR, and similarly many VCDR SNPs are not associated with POAG.
