ArticleExperimental eye research2022
Systems genomics in age-related macular degeneration.
Article in Experimental eye research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 39 citations in OpenAlex.
- Revisiting retinal and macular degeneration in the genomics era.Nature reviews. Genetics · 2026Review
- Integrative genomic and proteomic analyses identify candidate genetic loci and genetically supported proteins in age-related macular degeneration.Eye and vision (London, England) · 2026Article
- Analysis of gene mutation spectrum for early-onset high myopia based on whole-exome sequencing.The British journal of ophthalmology · 2026Article
- Neovascular age-related macular degeneration without drusen.Acta ophthalmologica · 2026Article
- Molecular mechanisms and intervention strategies for age-related macular degeneration.International journal of ophthalmology · 2026Review
- Loss of CFHR5 function reduces the risk for age-related macular degeneration.Nature communications · 2025Article
- The secret life of complement: challenges and opportunities in exploring functions of the complosome in disease.The Journal of clinical investigation · 2025Review
- Functional genomics in age-related macular degeneration: From genetic associations to understanding disease mechanisms.Experimental eye research · 2025Review
- Elevated Plasma Complement Factors in CRB1-Associated Inherited Retinal Dystrophies.Investigative ophthalmology & visual science · 2025Article
- Integration of multi-omics data reveals dysregulated RNA methylation in retinal pigment epithelium drives age-related macular degeneration.International journal of ophthalmology · 2025Article
- Article
- Application of cord blood-derived platelet-rich plasma in the treatment of diseases.The Journal of international medical research · 2024Review
- Recent Advances in Our Understanding of Age-Related Macular Degeneration: Mitochondrial Dysfunction, Redox Signaling, and the Complement System.Aging and disease · 2024Review
- Exploring causal relationships between immune cells and age-related macular degeneration through univariable, bidirectional, and multivariable Mendelian analysis.Frontiers in medicine · 2024Article
- Dietary sources of antioxidants and oxidative stress in age-related macular degeneration.Frontiers in pharmacology · 2024Article
- Computational methods in glaucoma research: Current status and future outlook.Molecular aspects of medicine · 2023Review
- Association of Risk Variants in the CFH Gene With Elevated Levels of Coagulation and Complement Factors in Idiopathic Multifocal Choroiditis.JAMA ophthalmology · 2023Article
- Transcriptomic Changes Predict Metabolic Alterations in LC3 Associated Phagocytosis in Aged Mice.International journal of molecular sciences · 2023Article
- Prognostic factors for age-related macular degeneration progression: An overview of systematic reviews.Survey of ophthalmologyReview
Corrections and comments
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Authors and funding
21 authors at 14 institutions in 4 countries.
Funding
Abstract
Genomic studies in age-related macular degeneration (AMD) have identified genetic variants that account for the majority of AMD risk. An important next step is to understand the functional consequences and downstream effects of the identified AMD-associated genetic variants. Instrumental for this next step are 'omics' technologies, which enable high-throughput characterization and quantification of biological molecules, and subsequent integration of genomics with these omics datasets, a field referred to as systems genomics. Single cell sequencing studies of the retina and choroid demonstrated that the majority of candidate AMD genes identified through genomic studies are expressed in non-neuronal cells, such as the retinal pigment epithelium (RPE), glia, myeloid and choroidal cells, highlighting that many different retinal and choroidal cell types contribute to the pathogenesis of AMD. Expression quantitative trait locus (eQTL) studies in retinal tissue have identified putative causal genes by demonstrating a genetic overlap between gene regulation and AMD risk. Linking genetic data to complement measurements in the systemic circulation has aided in understanding the effect of AMD-associated genetic variants in the complement system, and supports that protein QTL (pQTL) studies in plasma or serum samples may aid in understanding the effect of genetic variants and pinpointing causal genes in AMD. A recent epigenomic study fine-mapped AMD causal variants by determing regulatory regions in RPE cells differentiated from induced pluripotent stem cells (iPSC-RPE). Another approach that is being employed to pinpoint causal AMD genes is to produce synthetic DNA assemblons representing risk and protective haplotypes, which are then delivered to cellular or animal model systems. Pinpointing causal genes and understanding disease mechanisms is crucial for the next step towards clinical translation. Clinical trials targeting proteins encoded by the AMD-associated genomic loci C3, CFB, CFI, CFH, and ARMS2/HTRA1 are currently ongoing, and a phase III clinical trial for C3 inhibition recently showed a modest reduction of lesion growth in geographic atrophy. The EYERISK consortium recently developed a genetic test for AMD that allows genotyping of common and rare variants in AMD-associated genes. Polygenic risk scores (PRS) were applied to quantify AMD genetic risk, and may aid in predicting AMD progression. In conclusion, genomic studies represent a turning point in our exploration of AMD. The results of those studies now serve as a driving force for several clinical trials. Expanding to omics and systems genomics will further decipher function and causality from the associations that have been reported, and will enable the development of therapies that will lessen the burden of AMD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.