与年龄相关的黄斑退化症中的遗传风险和基于OCT的表型关联
Shlomit Jaskoll1,2, Yahel Shwartz1, Adi Kramer1
1The Faculty of Medicine, Department of Ophthalmology, Hadassah-Hebrew University Medical Center, The Hebrew University of Jerusalem, Jerusalem, Israel.
Ophthalmology science
|July 23, 2025
概括
与年龄相关的黄斑变性 (AMD) 的遗传风险得分与特定的疾病特征有关. 全球遗传风险得分显示,与AMD特征的相关性比特定途径的得分更强,例如德鲁森和缩.
科学领域:
- 眼科医生 眼科 眼科
- 遗传学 遗传学 是一个
- 医疗成像医学成像
背景情况:
- 与年龄相关的黄斑变性 (AMD) 风险受到众多遗传变异的影响.
- 了解遗传倾向和特定的AMD表现之间的关联对于疾病管理至关重要.
研究的目的:
- 调查AMD遗传风险变异与OCT检测到的不同疾病特征之间的关系.
- 评估针对特定AMD表型的加权遗传风险评分 (WGRSs) 的预测能力.
主要方法:
- 对578名AMD患者和健康对照 (>50年) 的回顾性分析.
- 52个与AMD相关的单核酸多态 (SNP) 的基因定型.
- 计算补充级联,脂质代谢和其他途径的WGRS,以及全球WGRS.
- OCT图像注释对于德鲁森,子皮膜德鲁塞诺伊德沉积物,高反射焦点 (HRF),完整的视网膜色素表皮和外视网膜缩 (cRORA),以及黄斑新血管化.
主要成果:
- 在德鲁森存在和脂质WGRS之间发现了正相关性 (r=0.09,P=0.02).
- cRORA与补充评分 (OR=1.25,P=0.01) 和全球评分 (OR=1.29,P<0.001) 有关.
- HRF显示了与特定变异 (OR=1.53,P=0.03) 的关联",其他途径"得分 (OR=1.94,P=0.007) 和总得分 (OR=1.16,P=0.04).
结论:
- 权衡的遗传风险得分有效地与在OCT观察到的特定AMD特征相关.
- 全球WGRS显示,与AMD特征的关联比特定途径的得分更强,表明多因素途径参与.
- 这些发现突显了AMD表型的复杂遗传基础,包括cRORA,drusen和HRF.
更多相关视频
相关概念视频
Genetic Lingo
104.8K
Overview
104.8K
iPS Cell Differentiation
2.8K
The ability of induced pluripotent stem cells or iPSCs to differentiate into most body cell types has stimulated repair and regenerative medicine research over the past few decades. iPSC-derived blood cells, hepatocytes, beta islet cells, cardiomyocytes, neurons, and other cell types can repair injuries or regenerate damaged tissue in diseases such as diabetes and neurodegenerative disorders.
2.8K
Polygenic Traits
66.5K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
66.5K
Genome-wide Association Studies-GWAS
14.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
14.3K


