PubMed HealthSearch

PubMed · 40221144

Genotypes of SNPs of key genes regulate susceptibility and drug sensitivity to neovascular AMD in the human population.

Abstract

OBJECTIVE: To compare the genetic characteristics of the normal control group to those of neovascular age-related macular degeneration (AMD) patients and to detect single-nucleotide polymorphisms (SNPs) related to the pathogenesis of neovascular AMD and the sensitivity to anti-VEGF drug, combercept. METHOD: This is a prospective case-controlled study. A total of 104 neovascular AMD patients were treated with combercept and 106 normal subjects were served as the control group. SNPs associated with neovascular AMD and disease susceptibility and drug sensitivity were analysed. RESULTS: Significant differences existed between neovascular AMD patients and normal subjects among genotypes of the SNPs of two genes, ARMS2 (rs10490924 T) and HTRA 1 (rs11200638 A). The T alleles in rs1065489 of CFH and the rs2230205 of C3 significantly promoted neovascular AMD in males while having no significant effect in females. Six SNPs of five genes, including C3 (rs2250656 G), CFB (rs2072633 G), CFH (rs2274700 A, rs3766405 T), KDR (rs6828477 A) and FZD 4 (rs10898563 T), had significant impact in reducing neovascular AMD. Two SNPs of the CFH gene (rs2274700 A and rs3766405 T) and one SNP of the CFB gene, rs2072633 G, were statistically significantly associated with good response to combercept. Conversely, the other two SNPs of the CFH gene, rs1065489 T and rs3753396 G, and the rs7412 T of the APOE gene were associated with a relatively poor patient response to drug action. Two sets of SNPs of CFB have a combined positive effect on disease. The two SNPs of CFH (rs1065489 T and rs3753396 G) and the combination of the two SNPs of CFH and rs7412T of APOE have negative effects on the drug effectiveness. CONCLUSIONS: These genotype differences facilitate the selection of individualised treatment options towards obtaining the most efficacious clinical treatment. These findings need to be validated by studies with different ethnic populations and/or larger samples.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jinglin Cui, Hang Lu, Suoxi Wang, Zhuo Li, Xiande Song, Weiwei Xiu, Boyang Liu, Jiayao Li, Chaoming Jin, Anqi Zhao, Hongyang Ding, Dawei Sun, Monica M Jablonski, Lu Lu, Weikuan Gu, Baofeng Yang. 2025-04-12. Genotypes of SNPs of key genes regulate susceptibility and drug sensitivity to neovascular AMD in the human population.. https://doi.org/10.1136/bmjophth-2024-001872

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans