ArticleInvestigative ophthalmology & visual science2023
Whole Genome Sequencing Identifies Novel Common and Low-Frequency Variants Associated With Age-Related Macular Degeneration.
Article in Investigative ophthalmology & visual science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Revisiting retinal and macular degeneration in the genomics era.Nature reviews. Genetics · 2026Review
- Functional polymorphisms in pigmentation-related genesBiochemistry and biophysics reports · 2026Article
- Transmembrane Protein 97 (TMEM97): Molecular Target and Treatment in Age-Related Macular Degeneration (AMD).Biomolecules · 2025Review
- Epigenetic Alterations in Age-Related Macular Degeneration: Mechanisms and Implications.International journal of molecular sciences · 2025Review
- Hallmarks of aging in age-related macular degeneration and age-related neurological disorders: novel insights into common mechanisms and clinical relevance.Eye (London, England) · 2025Review
- Editorial: Advancements and prospects of genome-wide association studies.Frontiers in genetics · 2025Article
- SLC16A8 is a causal contributor to age-related macular degeneration risk.NPJ genomic medicine · 2024Article
- Article
- A New Generation of Gene Therapies as the Future of Wet AMD Treatment.International journal of molecular sciences · 2024Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To identify associations of common, low-frequency, and rare variants with advanced age-related macular degeneration (AMD) using whole genome sequencing (WGS). Methods: WGS data were obtained for 2123 advanced AMD patients (participants of clinical trials for advanced AMD) and 2704 controls (participants of clinical trials for asthma [N = 2518] and Alzheimer's disease [N = 186]), and joint genotype calling was performed, followed by quality control of the dataset. Single variant association analyses were performed for all identified common, low-frequency, and rare variants. Gene-based tests were executed for rare and low-frequency variants using SKAT-O and three groups of variants based on putative impact information: (1) all variants, (2) modifier impact variants, and (3) high- and moderate-impact variants. To ascertain independence of the identified associations from previously reported AMD and asthma loci, conditional analyses were performed. Results: Previously identified AMD variants at the CFH, ARMS2/HTRA1, APOE, and C3 loci were associated with AMD at a genome-wide significance level. We identified new single variant associations for common variants near the PARK7 gene and in the long non-coding RNA AC103876.1, and for a rare variant near the TENM3 gene. In addition, gene-based association analyses identified a burden of modifier variants in eight intergenic and gene-spanning regions and of high- and moderate-impact variants in the C3, CFHR5, SLC16A8, and CFI genes. Conclusions: We describe the largest WGS study in AMD to date. We confirmed previously identified associations and identified several novel associations that are worth exploring in further follow-up studies.
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