炎性多神经病变和慢性炎性脱髓鞘性多根神经病变的遗传分析确定了候选基因。

Zhaohui Du, Samuel Lessard, Tejaswi Iyyanki, Michael Chao, Timothy Hammond, Dimitry Ofengeim, Katherine Klinger, Emanuele de Rinaldis, Shameer Khader, Clement Chatelain
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引用次数: 0

摘要

目的:慢性炎症性脱髓鞘多神经病变(CIDP)是一种罕见的免疫介导的疾病,其中异常的免疫反应导致周围神经脱髓鞘和轴突损伤。遗传对CIDP的影响尚不清楚,目前还没有全基因组关联研究(GWAS)的报道。在本研究中,我们旨在确定cidp相关的风险位点、基因和途径。方法:我们首先纳入所有诊断为炎症性多神经病变(IP)的患者作为病例。我们使用FinnGen R10个体数据进行了GWAS研究,并使用固定效应荟萃分析将结果与英国生物银行(UKBB)的GWAS结合起来。共有1261例知识产权病例和823730例对照纳入分析。第二组GWAS以CIDP患者为研究对象,共纳入516例CIDP患者和403,545例对照。对IP和CIDP也进行了性别分层分析。我们使用转录组全孟德尔随机化(TWMR)分析、共定位分析和转录组全关联研究(TWAS),使用S-PrediXcan和MAGMA进行基因水平分析,以确定与IP和CIDP相关的基因。使用MAGMA进行基因集分析,以确定与IP和CIDP相关的途径。结果:在GWAS研究中,我们在20q13.33处发现了一个与女性CIDP风险相关的全基因组显著位点;顶部变异位于基因CDH4的内含子区域。TWMR、共定位和S-PrediXcan分析鉴定DGKQ、GLDC、IDUA、SLAMF9和TMEM175是IP的候选致病基因;CIDP基因DIRAS1、GNG7、SLC39A3;男性IP基因DIRAS1、DCTN1和ME1;以及女性IP的基因DIRAS1和ME1。MAGMA基因集分析共鉴定出18条与IP或CIDP相关的通路。结论:我们的研究确定了IP和CIDP的提示风险基因和途径。应进行功能分析以进一步证实这些关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic analyses of inflammatory polyneuropathy and chronic inflammatory demyelinating polyradiculoneuropathy identified candidate genes.
Objective: Chronic inflammatory demyelinating polyneuropathy (CIDP) is a rare, immune-mediated disorder in which an aberrant immune response causes demyelination and axonal damage of the peripheral nerves. Genetic contribution to CIDP is unclear and no genome-wide association study (GWAS) has been reported so far. In this study, we aimed to identify CIDP-related risk loci, genes and pathways. Methods: To increase power, we first included all patients with a diagnosis of inflammatory polyneuropathy (IP) as cases. We performed a GWAS study using FinnGen R10 individual data and combined the results with GWAS from UK biobank (UKBB) using a fixed-effect meta-analysis. A total of 1,261 IP cases and 823,730 controls were included in the analysis. The second GWAS focused on CIDP patients and a total of 516 CIDP cases and 403,545 controls were included in the analysis. Stratified analyses by gender were also performed for both IP and CIDP. We performed gene-level analyses using transcriptome-wide mendelian randomization (TWMR) analysis, colocalization analysis, transcriptome-wide association study (TWAS) using S-PrediXcan and MAGMA to identify genes associated with IP and CIDP. Gene-set analyses were conducted using MAGMA to identify pathways that are related to IP and CIDP. Results: In GWAS study, we identified one genome-wide significant loci at 20q13.33 for CIDP risk among women; the top variant located at the intron region of gene CDH4. TWMR, colocalization and S-PrediXcan analyses identified DGKQ, GLDC, IDUA, SLAMF9 and TMEM175 as candidate pathogenic genes for IP; genes DIRAS1, GNG7, and SLC39A3 for CIDP; genes DIRAS1, DCTN1, and ME1 for IP among males; and genes DIRAS1 and ME1 for IP among women. MAGMA gene-set analyses identified a total of 18 pathways related to IP or CIDP. Conclusion: Our study identified suggestive risk genes and pathways for IP and CIDP. Functional analysis should be conducted to further confirm these associations.
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