ArticleScientific reports2021
Epistatic interactions of genetic loci associated with age-related macular degeneration.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Revisiting retinal and macular degeneration in the genomics era.Nature reviews. Genetics · 2026Review
- Interactions Between Epidermal Growth Factor-Containing Fibulin-Like Extracellular Matrix Protein 1 and Tissue Inhibitor of Metalloproteinases-3 and Relevance to Age-Related Macular Degeneration.Ophthalmology science · 2026Review
- Alzheimer's disease and age-related macular degeneration: Shared and distinct immune mechanisms.Immunity · 2025Review
- Non-Neovascular Age-Related Macular Degeneration Assessment: Focus on Optical Coherence Tomography Biomarkers.Diagnostics (Basel, Switzerland) · 2024Review
- Article
- QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration.Nature communications · 2024Article
- The interactions betweenMolecular vision · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The currently largest genome-wide association study (GWAS) for age-related macular degeneration (AMD) defines disease association with genome-wide significance for 52 independent common and rare genetic variants across 34 chromosomal loci. Overall, these loci contain over 7200 variants and are enriched for genes with functions indicating several shared cellular processes. Still, the precise mechanisms leading to AMD pathology are largely unknown. Here, we exploit the phenomenon of epistatic interaction to identify seemingly independent AMD-associated variants that reveal joint effects on gene expression. We focus on genetic variants associated with lipid metabolism, organization of extracellular structures, and innate immunity, specifically the complement cascade. Multiple combinations of independent variants were used to generate genetic risk scores allowing gene expression in liver to be compared between low and high-risk AMD. We identified genetic variant combinations correlating significantly with expression of 26 genes, of which 19 have not been associated with AMD before. This study defines novel targets and allows prioritizing further functional work into AMD pathobiology.
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Registered trials
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