通过双变量全基因组关联研究确定的与嗜酸性粒细胞阳离子蛋白和嗜酸性粒蛋白衍生神经毒素水平相关的新遗传变异

IF 2.7 4区 医学 Q2 GENETICS & HEREDITY Genes and Environment Pub Date : 2019-09-28 DOI:10.1183/13993003.congress-2019.pa5393
R. Vernet, P. Margaritte-Jeannin, R. Matran, F. Zerimech, V. Siroux, M. Dizier, R. Nadif, F. Demenais, E. Bouzigon
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引用次数: 0

摘要

背景:嗜酸性粒细胞通过释放细胞毒性分子,如嗜酸性粒阳离子蛋白(ECP)和嗜酸性粒衍生的神经毒素(EDN),在哮喘的过敏反应中发挥关键作用,这些细胞毒性分子会产生上皮损伤。目的:我们的目标是确定影响ECP和EDN水平的遗传变异。方法:我们对来自EGEA队列的1018名成年人(451名哮喘患者)的血浆中ECP和EDN水平进行了单变量和双变量全基因组关联分析,使用1000个基因组估算的SNPs。结果:单变量分析在染色体14q11(rs7141958位于RNASE3和RNASE2之间,P=3.9x10-13)和MC4R附近的18q21(rs9959588,P=1.7x10-9)上检测到两个与ECP相关的全基因组显著基因座,在14q11上检测到一个与RNASE2附近的EDN相关的显著基因座(rs67049014,P=1.6x10-12)。双变量分析在1p31上检测到前两个基因座和第三个基因座(AK4中的rs57716204,P=1.6x10-8)。基于双变量条件分析对这些区域的精细定位表明,14q11区域包含三个相距76kb的不同信号:前导SNP rs67049014和另外两个SNP,rs76185655和rs28525131。对eQTL数据库的查询表明,前导SNP与RNASE2、RNASE3和METTL17的表达有关(P结论:对同一途径中涉及的生物标志物进行联合分析可以提高检测新基因座的能力,并有助于细化相关区域。这些结果的复制正在进行中。
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New genetic variants associated with eosinophil cationic protein and eosinophil-derived neurotoxin levels identified through bivariate genome-wide association study
Background: Eosinophils play a key role in the allergic response in asthma by the release of cytotoxic molecules such as eosinophil cationic protein (ECP) and eosinophil-derived neurotoxin (EDN) that generate epithelium damages. Objective: Our goal was to identify genetic variants influencing ECP and EDN levels. Methods: We conducted univariate and bivariate genome-wide association analyses of ECP and EDN levels measured in plasma in 1018 adults (451 with asthma) from the EGEA cohort using 1000-Genomes imputed SNPs. Results: The univariate analyses detected two genome-wide significant loci associated with ECP on chromosomes 14q11 (rs7141958 located between RNASE3 and RNASE2, P=3.9x10-13) and 18q21 near MC4R (rs9959588, P=1.7x10-9) and one significant locus at 14q11 associated with EDN near RNASE2 (rs67049014, P=1.6x10-12). The bivariate analysis detected the two previous loci plus a third one on 1p31 (rs57716204 in AK4, P=1.6x10-8). Fine-mapping of these regions, based on bivariate conditional analysis, showed that the 14q11 region contained three distinct signals located 76kb apart: the lead SNP rs67049014 and two other SNPs, rs76185655 and rs28525131. Interrogation of eQTL databases showed that the lead SNP was associated with the expression of RNASE2, RNASE3 and METTL17 (P Conclusion: The joint analysis of biomarkers involved in the same pathway can increase power to detect new loci and can help refining associated regions. Replication of these results is ongoing.
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来源期刊
Genes and Environment
Genes and Environment Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
4.00
自引率
0.00%
发文量
24
审稿时长
27 weeks
期刊介绍: Genes and Environment is an open access, peer-reviewed journal that aims to accelerate communications among global scientists working in the field of genes and environment. The journal publishes articles across a broad range of topics including environmental mutagenesis and carcinogenesis, environmental genomics and epigenetics, molecular epidemiology, genetic toxicology and regulatory sciences. Topics published in the journal include, but are not limited to, mutagenesis and anti-mutagenesis in bacteria; genotoxicity in mammalian somatic cells; genotoxicity in germ cells; replication and repair; DNA damage; metabolic activation and inactivation; water and air pollution; ROS, NO and photoactivation; pharmaceuticals and anticancer agents; radiation; endocrine disrupters; indirect mutagenesis; threshold; new techniques for environmental mutagenesis studies; DNA methylation (enzymatic); structure activity relationship; chemoprevention of cancer; regulatory science. Genetic toxicology including risk evaluation for human health, validation studies on testing methods and subjects of guidelines for regulation of chemicals are also within its scope.
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