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利用 1000 基因组计划数据对 IgE 相关基因座 1q23、5q31 和 12q13 进行精细定位。

Fine-mapping of IgE-associated loci 1q23, 5q31, and 12q13 using 1000 Genomes Project data.

机构信息

Department of Pediatric Pneumology, Allergy and Neonatology, Hannover Medical School, Hannover, Germany.

出版信息

Allergy. 2014 Aug;69(8):1077-84. doi: 10.1111/all.12431. Epub 2014 Jun 14.

Abstract

BACKGROUND

Genome-wide association studies (GWAS) repeatedly identified 1q23 (FCER1A), 5q31 (RAD50-IL13 and IL4), and 12q13 (STAT6) as major susceptibility loci influencing the regulation of total serum IgE levels. As GWAS may be insufficient to capture causal variants, we performed fine-mapping and re-genotyping of the three loci using 1000 Genomes Project datasets.

METHODS

Linkage disequilibrium tagging polymorphisms and polymorphisms of putative functional relevance were genotyped by chip technology (24 polymorphisms) or MALDI-TOF-MS (40 polymorphisms) in at least 1303 German children (651 asthmatics). The effect of polymorphisms on total serum IgE, IgE percentiles, and atopic diseases was assessed, and a risk score model was applied for gene-by-gene interaction analyses. Functional effects of putative causal variants from these three loci were studied in silico.

RESULTS

Associations from GWAS were confirmed and extended. For 1q23 and 5q31, the majority of associations were found with mild to moderately elevated IgE levels, while in the 12q13 locus, single-nucleotide polymorphisms (SNPs) were associated with strongly elevated IgE levels. Gene-by-gene interaction analyses suggested that the presence of mutations in all three loci increases the risk for elevated IgE up to fourfold.

CONCLUSION

This fine-mapping study confirmed previous associations and identified novel associations of SNPs in 1q23, 5q31, and 12q13 with different levels of serum IgE and their concomitant contribution to IgE regulation.

摘要

背景

全基因组关联研究(GWAS)多次发现 1q23(FCER1A)、5q31(RAD50-IL13 和 IL4)和 12q13(STAT6)是影响总血清 IgE 水平调节的主要易感基因座。由于 GWAS 可能不足以捕获因果变异,我们使用 1000 基因组计划数据集对这三个基因座进行了精细映射和重新基因分型。

方法

通过芯片技术(24 个多态性)或 MALDI-TOF-MS(40 个多态性)在至少 1303 名德国儿童(651 名哮喘患者)中对连锁不平衡标签多态性和潜在功能相关性多态性进行基因分型。评估多态性对总血清 IgE、IgE 百分位数和特应性疾病的影响,并应用风险评分模型进行基因间相互作用分析。从这三个基因座中研究潜在因果变异的功能效应。

结果

GWAS 的关联得到了证实和扩展。对于 1q23 和 5q31,大多数关联与轻度至中度升高的 IgE 水平有关,而在 12q13 基因座,单核苷酸多态性(SNP)与强烈升高的 IgE 水平有关。基因间相互作用分析表明,所有三个基因座的突变存在会将 IgE 升高的风险增加高达四倍。

结论

这项精细映射研究证实了先前的关联,并鉴定了 1q23、5q31 和 12q13 中 SNPs 与不同水平的血清 IgE 及其对 IgE 调节的共同贡献的新关联。

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