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Association of HLA-DRB1∗09:01 with tIgE levels among African-ancestry individuals with asthma.
Journal of Allergy and Clinical Immunology ( IF 14.2 ) Pub Date : 2020-01-22 , DOI: 10.1016/j.jaci.2020.01.011
Nicolas Vince 1 , Sophie Limou 2 , Michelle Daya 3 , Wataru Morii 4 , Nicholas Rafaels 3 , Estelle Geffard 1 , Venceslas Douillard 1 , Alexandre Walencik 1 , Meher Preethi Boorgula 3 , Sameer Chavan 3 , Candelaria Vergara 5 , Victor E Ortega 6 , James G Wilson 7 , Leslie A Lange 3 , Harold Watson 8 , Dan L Nicolae 9 , Deborah A Meyers 10 , Nadia N Hansel 5 , Jean G Ford 11 , Mezbah U Faruque 12 , Eugene R Bleecker 10 , Monica Campbell 3 , Terri H Beaty 13 , Ingo Ruczinski 14 , Rasika A Mathias 15 , Margaret A Taub 14 , Carole Ober 16 , Emiko Noguchi 4 , Kathleen C Barnes 3 , , Dara Torgerson 17 , Pierre-Antoine Gourraud 1
Affiliation  

Background

Asthma is a complex chronic inflammatory disease of the airways. Association studies between HLA and asthma were first reported in the 1970s, and yet, the precise role of HLA alleles in asthma is not fully understood. Numerous genome-wide association studies were recently conducted on asthma, but were always limited to simple genetic markers (single nucleotide polymorphisms) and not complex HLA gene polymorphisms (alleles/haplotypes), therefore not capturing the biological relevance of this complex locus for asthma pathogenesis.

Objective

To run the first HLA-centric association study with asthma and specific asthma-related phenotypes in a large cohort of African-ancestry individuals.

Methods

We collected high-density genomics data for the Consortium on Asthma among African-ancestry Populations in the Americas (N = 4993) participants. Using computer-intensive machine-learning attribute bagging methods to infer HLA alleles, and Easy-HLA to infer HLA 5-gene haplotypes, we conducted a high-throughput HLA-centric association study of asthma susceptibility and total serum IgE (tIgE) levels in subjects with and without asthma.

Results

Among the 1607 individuals with asthma, 972 had available tIgE levels, with a mean tIgE level of 198.7 IU/mL. We could not identify any association with asthma susceptibility. However, we showed that HLA-DRB1∗09:01 was associated with increased tIgE levels (P = 8.5 × 10−4; weighted effect size, 0.51 [0.15-0.87]).

Conclusions

We identified for the first time an HLA allele associated with tIgE levels in African-ancestry individuals with asthma. Our report emphasizes that by leveraging powerful computational machine-learning methods, specific/extreme phenotypes, and population diversity, we can explore HLA gene polymorphisms in depth and reveal the full extent of complex disease associations.



中文翻译:

非洲裔哮喘个体中HLA-DRB1 * 09:01与tIgE水平的关联。

背景

哮喘是一种复杂的气道慢性炎症性疾病。HLA与哮喘之间的关联性研究最早是在1970年代报道的,但尚未完全了解HLA等位基因在哮喘中的确切作用。最近对哮喘进行了许多全基因组关联研究,但始终仅限于简单的遗传标记(单核苷酸多态性),而不是复杂的HLA基因多态性(等位基因/单倍型),因此未捕获此复杂基因位与哮喘发病机制的生物学相关性。

目的

在一大批非洲裔个体中进行第一个以HLA为中心的哮喘与特定哮喘相关表型相关性研究。

方法

我们收集了美洲(A = 4993)非洲裔人口中哮喘联盟的高密度基因组学数据。我们使用计算机密集型机器学习属性装袋方法来推断HLA等位基因,并使用Easy-HLA来推断HLA 5基因单倍型,我们对哮喘易感性和总血清IgE(tIgE)水平进行了高通量HLA中心关联研究。有无哮喘的受试者。

结果

在1607名哮喘患者中,有972名可获得可用的tIgE水平,平均tIgE水平为198.7 IU / mL。我们无法确定与哮喘易感性的任何关联。但是,我们显示HLA-DRB1 * 09:01与tIgE水平升高相关(P  = 8.5×10 -4;加权效应大小为0.51 [0.15-0.87])。

结论

我们首次在非洲裔哮喘患者中首次发现了与tIgE水平相关的HLA等位基因。我们的报告强调,通过利用强大的计算机学习方法,特定/极端表型和种群多样性,我们可以深入探索HLA基因多态性并揭示复杂疾病关联的全部范围。

更新日期:2020-01-22
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