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通过数字液滴PCR检测突尼斯类风湿性关节炎患者群体中谷胱甘肽S-转移酶M1基因的绝对拷贝数变异并进行关联分析

Measurement of absolute copy number variation of Glutathione S-Transferase M1 gene by digital droplet PCR and association analysis in Tunisian Rheumatoid Arthritis population.

作者信息

Achour Yosser, Ben Kilani Mohamed Sahbi, Ben Hamad Mariem, Marzouk Sameh, Mahfoudh Nadia, Bahloul Zouheir, Keskes Leila, Petit-Teixeira Elisabeth, Maalej Abdellatif

机构信息

Laboratory of Human Molecular Genetics, Faculty of Medecine, Sfax, Tunisia.

GenHotel-EA3886, Evry University, Evry, France.

出版信息

J Clin Lab Anal. 2018 Mar;32(3). doi: 10.1002/jcla.22300. Epub 2017 Jul 13.

Abstract

BACKGROUND

The investigation of copy number variations (CNVs) analysis of candidate genes is currently an important research area in modulating human diseases. We aimed to quantify CNVs in glutathione S-transferase M1 (GSTM1) gene and determine its genetic contribution in Tunisian rheumatoid arthritis (RA) and its subsets through an innovative technique for quantification.

METHODS

A total of 165 RA cases and 102 healthy controls were included in the study. Using a recently powerful approach of digital droplet PCR (ddPCR), we quantified GSTM1 gene to determine the presence of no, one, or multiple copy number (CN) at high levels of sensitivity and specificity. Odds ratio and Fisher exact test were performed to estimate the association risk for GSTM1CNVs in RA.

RESULTS

Copy number identified by ddPCR was 0, 1, and 2 copies per diploid genome. A high frequency of '0' copy was revealed with 54% in RA patients. The deletion ('0' copy) of GSTM1 was found to be a significant risk factor for anti-cyclic citrullinated peptide (anti-CCP) positive RA (OR=4.16, CI =[1.17-14.7]). In addition, a lack of association was found when comparing between the CNVs of RA patients and those of controls.

CONCLUSION

This study highlights the powerful accuracy of ddPCR for the quantification of CNVs and suggests that the variation in the CN of GSTM1 is associated with anti-CCP positivity in RA. However, it does not indicate a specific role in the susceptibility to the disease in our Tunisian sample.

摘要

背景

对候选基因的拷贝数变异(CNV)分析的研究目前是调控人类疾病的一个重要研究领域。我们旨在通过一种创新的定量技术,对谷胱甘肽S-转移酶M1(GSTM1)基因中的CNV进行定量,并确定其在突尼斯类风湿性关节炎(RA)及其亚组中的遗传贡献。

方法

本研究共纳入165例RA患者和102名健康对照。我们使用最近强大的数字液滴PCR(ddPCR)方法,对GSTM1基因进行定量,以确定在高灵敏度和特异性水平下是否存在零拷贝、单拷贝或多拷贝数(CN)。进行优势比和Fisher精确检验以估计RA中GSTM1 CNV的关联风险。

结果

通过ddPCR鉴定的拷贝数为每个二倍体基因组0、1和2个拷贝。在RA患者中发现“0”拷贝的频率很高,为54%。发现GSTM1的缺失(“0”拷贝)是抗环瓜氨酸肽(抗CCP)阳性RA的一个显著危险因素(OR=4.16,CI=[1.

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