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孟德尔随机化和转录组全基因组关联分析鉴定了与眼内压呈多效性关联的基因。

Mendelian Randomization and Transcriptome-Wide Association Analysis Identified Genes That Were Pleiotropically Associated with Intraocular Pressure.

机构信息

Department of Ophthalmology, Peking Union Medical College Hospital, Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences, Beijing 100730, China.

Department of Statistics, The Pennsylvania State University, State College, PA 16802, USA.

出版信息

Genes (Basel). 2023 Apr 30;14(5):1027. doi: 10.3390/genes14051027.

Abstract

BACKGROUND

Intraocular pressure (IOP) is a major modifiable risk factor for glaucoma. However, the mechanisms underlying the controlling of IOP remain to be elucidated.

OBJECTIVE

To prioritize genes that are pleiotropically associated with IOP.

METHODS

We adopted a two-sample Mendelian randomization method, named summary-based Mendelian randomization (SMR), to examine the pleiotropic effect of gene expression on IOP. The SMR analyses were based on summarized data from a genome-wide association study (GWAS) on IOP. We conducted separate SMR analyses using Genotype-Tissue Expression (GTEx) and Consortium for the Architecture of Gene Expression (CAGE) expression quantitative trait loci (eQTL) data. Additionally, we performed a transcriptome-wide association study (TWAS) to identify genes whose cis-regulated expression levels were associated with IOP.

RESULTS

We identified 19 and 25 genes showing pleiotropic association with IOP using the GTEx and CAGE eQTL data, respectively. (P = 2.66 × 10), (P = 2.78 × 10), and (P = 2.91 × 10) were the top three genes using the GTEx eQTL data. (P = 1.19 × 10), (P = 1.19 × 10), and (P = 1.53 × 10) were the top three genes using the CAGE eQTL data. Most of the identified genes were found in or near the 17q21.31 genomic region. Additionally, our TWAS analysis identified 18 significant genes whose expression was associated with IOP. Of these, 12 and 4 were also identified by the SMR analysis using the GTEx and CAGE eQTL data, respectively.

CONCLUSIONS

Our findings suggest that the 17q21.31 genomic region may play a critical role in the regulation of IOP.

摘要

背景

眼压(IOP)是青光眼的一个主要可调节风险因素。然而,控制 IOP 的机制仍有待阐明。

目的

确定与 IOP 呈多效性关联的基因。

方法

我们采用了一种两样本孟德尔随机化方法,称为基于汇总的孟德尔随机化(SMR),来检验基因表达对 IOP 的多效性影响。SMR 分析基于 IOP 的全基因组关联研究(GWAS)汇总数据。我们使用基因型组织表达(GTEx)和基因表达调控图谱(CAGE)表达定量性状基因座(eQTL)数据分别进行了单独的 SMR 分析。此外,我们进行了转录组全关联研究(TWAS),以鉴定 cis 调控表达水平与 IOP 相关的基因。

结果

我们使用 GTEx 和 CAGE eQTL 数据分别鉴定出 19 个和 25 个与 IOP 呈多效性关联的基因。使用 GTEx eQTL 数据时,排名前三的基因分别为 (P = 2.66×10)、 (P = 2.78×10)和 (P = 2.91×10)。使用 CAGE eQTL 数据时,排名前三的基因分别为 (P = 1.19×10)、 (P = 1.19×10)和 (P = 1.53×10)。大多数鉴定出的基因位于或靠近 17q21.31 基因组区域。此外,我们的 TWAS 分析确定了 18 个与 IOP 相关的显著表达基因。其中,12 个和 4 个分别被 GTEx 和 CAGE eQTL 数据的 SMR 分析所识别。

结论

我们的研究结果表明,17q21.31 基因组区域可能在调节 IOP 中发挥关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a6d/10218376/6187d2983942/genes-14-01027-g001.jpg

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