advertisement
High intraocular pressure (IOP) is the most important modifiable risk factor for primary open-angle glaucoma (POAG), and recent genome-wide association studies (GWAS) have identified hundreds of genetic signals linked to IOP and glaucoma.1,2 The etiology of POAG involves both IOP-dependent and IOP-independent mechanisms,3 but GWASs focused on IOP-independent traits remain limited.
To address this issue, Huang Y and colleagues applied GWAS-by-subtraction—a genomic structural equation modelling approach—to dissect POAG into IOP-dependent and IOP-independent components. This method subtracts genetic effects from an IOP GWAS (n = 97,644) from those in a POAG GWAS (14,853 cases; 106,544 controls), separating IOP-independent genetic contributions to POAG. Seventeen independent genome-wide significant SNPs were identified for the IOP-independent component.
These components display distinct genetic associations with other traits. The IOP-independent component correlates with glaucoma endophenotypes (cup area, disc area, cup-to-disc ratio), whereas the IOP-dependent component is associated with blood pressure.
Pathway enrichment analysis identified “Apolipoprotein A-1 binding” as significantly enriched for the IOP-independent component, while “negative regulation of vascular permeability” was most enriched for the IOP-dependent component.
Single-cell and tissue enrichment analyses revealed distinct gene expression patterns: IOP-dependent genes were enriched in the juxtacanalicular region of the trabecular meshwork and retinal fibroblasts, while IOP-independent genes were enriched in photoreceptors and the visual cortex.
A genetic risk score (GRS) derived from the IOP-independent component was associated with 26 distinct retinal microvascular features, unlike the IOP-dependent GRS.
This study highlights the importance of separating POAG genetics into IOP-dependent and IOP-independent components
This study highlights the importance of separating POAG genetics into IOP-dependent and IOP-independent components, offering deeper insights into the distinct biological pathways driving disease risk. Future genetic research using similar approaches may improve our understanding of the causal mechanisms underlying normal-tension glaucoma (NTG) and enable earlier prediction through NTG-specific polygenic risk scores.