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Association of HLA-DRB1∗09:01 with tIgE levels among African-ancestry individuals with asthma.

Authors :
Vince, Nicolas
Limou, Sophie
Daya, Michelle
Morii, Wataru
Rafaels, Nicholas
Geffard, Estelle
Douillard, Venceslas
Walencik, Alexandre
Boorgula, Meher Preethi
Chavan, Sameer
Vergara, Candelaria
Ortega, Victor E.
Wilson, James G.
Lange, Leslie A.
Watson, Harold
Nicolae, Dan L.
Meyers, Deborah A.
Hansel, Nadia N.
Ford, Jean G.
Faruque, Mezbah U.
Source :
Journal of Allergy & Clinical Immunology; Jul2020, Vol. 146 Issue 1, p147-155, 9p
Publication Year :
2020

Abstract

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. To run the first HLA -centric association study with asthma and specific asthma-related phenotypes in a large cohort of African-ancestry individuals. 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. 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<superscript>−4</superscript>; weighted effect size, 0.51 [0.15-0.87]). 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00916749
Volume :
146
Issue :
1
Database :
Supplemental Index
Journal :
Journal of Allergy & Clinical Immunology
Publication Type :
Academic Journal
Accession number :
144300563
Full Text :
https://doi.org/10.1016/j.jaci.2020.01.011