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Figure 4. Applications of transcriptome data generated in control and AMD donors. Transcriptome data alone can help in identifying genes and pathways that are dysregulated in the disease process. They can provide insights into the disease biology as well as possibly identify disease biomarkers and therapeutic targets. Integrative analysis of transcriptome with the genetic data can be applied for eQTL and transcriptome-wide association analysis. These approaches can help in identifying causal variants and target genes at known AMD loci as well as could potentially reveal new candidates. SNP: Single nucleotide polymorphism; AMD: age-related macular degeneration; eQTL: expression quantitative trait loci.