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Genomic structural equation Modeling analysis of glaucoma Endophenotypes: investigating genetic architecture and non-intraocular pressure mechanisms

青光眼 全基因组关联研究 眼压 正常眼压性青光眼 内表型 遗传建筑学 眼科 结构方程建模 高眼压 生物 计算生物学 黄斑变性 拉坦前列素 神经纤维层 遗传关联 视网膜 单核苷酸多态性 生物信息学 上位性 方差分析 候选基因 潜变量 遗传模型 遗传学 神经科学 数量性状位点
作者
Maryam Marzban,Santiago Díaz‐Torres,Jackson G. Thorp,Jue‐Sheng Ong,Anthony P Khawaja,Christopher Hammond,Pirro G. Hysi,Louis R. Pasquale,Peter Kraft,Jae H. Kang,Alex W. Hewitt,David A Mackey,Jamie E. Craig,Janey L. Wiggs,Stuart MacGregor,Puya Gharahkhani
出处
期刊:Human Molecular Genetics [Oxford University Press]
卷期号:34 (22): 1902-1911
标识
DOI:10.1093/hmg/ddae191
摘要

To explore the genetic underpinnings of glaucoma endophenotypes influenced by mechanisms other than intraocular pressure (IOP), this study employs genomic structural equation modelling (GenomicSEM) and utilises summary statistics from Genome-Wide Association Studies (GWAS) to examine endophenotypes associated with non-IOP mechanisms. We investigated the genetic relationships among primary open-angle glaucoma (POAG) and key endophenotypes: IOP, normal tension glaucoma (NTG), vertical cup disc ratio (VCDR), total macular thickness, ganglion cell-inner plexiform layer (GCIPL), and retinal nerve fiber layer (RNFL), through exploratory factorial analysis (EFA) and confirmatory factorial analyses (CFA). GWAS-by-subtraction approach was employed to explore the genetic architecture of non-IOP components. Post-GWAS analyses implemented in Functional Mapping and Annotation (FUMA) and Multi-marker Analysis of Genomic Annotation (MAGMA) were conducted to identify non-IOP genes and pathways. The EFA revealed that 60% of the cumulative variance was explained by two latent factors (F1, F2). F1 included VCDR, POAG, NTG, and IOP, while F2 comprised RNFL, GCIPL, macular thickness, and VCDR. Significant associations between F2 and macular thickness and RNFL persisted after subtracting IOP. MAGMA analysis identified IOP-independent pathways for macular thickness and VCDR, primarily involving nerve and vascular pathways. Despite lower IOP levels in NTG patients, GWAS-by-subtraction revealed both significant IOP and non-IOP components for NTG. This research highlights the significance of non-IOP mechanisms in the development of glaucoma. Targeting these mechanisms could pave the way for developing novel treatments that extend beyond conventional IOP-based therapies. Further research is needed to explore non-IOP pathways in NTG and validate these findings across diverse populations.
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