Published May 24, 2022 | Version v1
Journal article Open

Fine-mapping studies distinguish genetic risks for childhood- and adult-onset asthma in the HLA region

Description

Background: Genome-wide association studies of asthma have revealed robust associations with variation across the human leukocyte antigen (HLA) complex with independent associations in the HLA class I and class II regions for both childhood-onset asthma (COA) and adult-onset asthma (AOA). However, the specific variants and genes contributing to risk are unknown.

Methods: We used Bayesian approaches to perform genetic fine-mapping for COA and AOA (n=9432 and 21,556, respectively; n=318,167 shared controls) in White British individuals from the UK Biobank and to perform expression quantitative trait locus (eQTL) fine-mapping in immune (lymphoblastoid cell lines, n=398; peripheral blood mononuclear cells, n=132) and airway (nasal epithelial cells, n=188) cells from ethnically diverse individuals. We also examined putatively causal protein coding variation from protein crystal structures and conducted replication studies in independent multi-ethnic cohorts from the UK Biobank (COA n=1686; AOA n=3666; controls n=56,063).

Results: Genetic fine-mapping revealed both shared and distinct causal variation between COA and AOA in the class I region but only distinct causal variation in the class II region. Both gene expression levels and amino acid variation contributed to risk. Our results from eQTL fine-mapping and amino acid visualization suggested that the HLA-DQA1*03:01 allele and variation associated with expression of the nonclassical HLA-DQA2 and HLA-DQB2 genes accounted entirely for the most significant association with AOA in GWAS. Our studies also suggested a potentially prominent role for HLA-C protein coding variation in the class I region in COA. We replicated putatively causal variant associations in a multi-ethnic cohort.

Conclusions: We highlight roles for both gene expression and protein coding variation in asthma risk and identified putatively causal variation and genes in the HLA region. A convergence of genomic, transcriptional, and protein coding evidence implicates the HLA-DQA2 and HLA-DQB2 genes and HLA-DQA1*03:01 allele in AOA.

Data availability

The study uses genotype and phenotype data from the UK Biobank under application number 44300. Access to the UK Biobank resource is available with application at http://www.ukbiobank.ac.uk and the summary statistics of COA and AOA by Pividori et al. can be downloaded from https://zenodo.org/record/3248979#.YTTfap5KjUJ. The gene expression datasets supporting this article are available on dbGaP https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000185.v7.p1 (Hutterite LCLs) and on the Gene Expression Omnibus (GEO) repository under the accession number GSE145505 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145505) (URECA epithelial cells) and GSE96783 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE96783) (URECA PBMCs)

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Additional details

Identifiers

DOI
10.1186/s13073-022-01058-2
Other
oai:uchicago.tind.io:5684

Funding

Unknown funder
U19 AI62310
Unknown funder
R01 HL085197
Unknown funder
R01 HD21244
Unknown funder
UG3 OD023282
Unknown funder
UM1 AI114271
Unknown funder
T32 GM007197
Unknown funder
K08 HL153955
Unknown funder
TL1 TR002388
Unknown funder
T32 HL007605

UChicago Information

Division(s)
Biological Sciences Division, Physical Sciences Division
Department(s)
Human Genetics, Medicine, Statistics