Transcending genome-wide association studies to create useful multi-omic views of glaucoma

Area of Science:

• Ophthalmology
• Genetics
• Bioinformatics

Background:

• Glaucoma is a primary cause of irreversible blindness globally, marked by retinal ganglion cell loss.
• The disease exhibits clinical heterogeneity, driven by intricate molecular mechanisms.
• High-throughput multi-omic technologies offer new avenues for understanding glaucoma's complexity.

Purpose of the Study:

• To review the current multi-omic landscape in glaucoma research.
• To evaluate the strengths and limitations of various omics modalities.
• To propose frameworks for integrating multi-omics for glaucoma research and precision medicine.

Main Methods:

• Review of current literature on multi-omic studies in glaucoma.
• Synthesis of data from genomic, transcriptomic, epigenomic, proteomic, metabolomic, lipidomic, microbiome, and phenomic analyses.
• Evaluation of integrative approaches and their challenges.

Main Results:

• Multi-omics data (genomics, transcriptomics, etc.) can identify biomarkers and molecular endotypes.
• Each omics modality offers unique insights but has limitations.
• Integrating diverse omics data is crucial for a comprehensive understanding of glaucoma.

Conclusions:

• Integrated multi-omic strategies are essential for defining glaucoma trajectory and pathophysiology.
• Future research should focus on leveraging multi-omics for optic nerve integrity, mechanistic insights, and precision medicine.
• This approach holds promise for preventing irreversible blindness caused by glaucoma.