Evidence map›Paper›PMID 35606880›Full record

ArticleGenome medicine2022

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

Selene M Clay, Nathan Schoettler, Andrew M Goldstein, Peter Carbonetto, Matthew Dapas, Matthew C Altman, Mario G Rosasco, James E Gern, Daniel J Jackson, Hae Kyung Im and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026
    Review
  4. Sequencing and health data resource of children of African ancestry.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Update on the genetics of allergic diseases.The Journal of allergy and clinical immunology · 2025
    Review
  9. Article
  10. Article
  11. Copy Number Variation in Asthma: An Integrative Review.Clinical reviews in allergy & immunology · 2025
    Review
  12. Article
  13. Article
  14. Asthma-Genomic Advances Toward Risk Prediction.Clinics in chest medicine · 2024
    Review
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Selene M ClayDepartment of Human Genetics, University of Chicago, Chicago, IL, 60637, USA. seleneclay@uchicago.edu.ORCID 0000-0002-7204-9570
Nathan SchoettlerSection of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA.
Andrew M GoldsteinDepartment of Statistics, University of Chicago, Chicago, IL, 60637, USA.
Peter CarbonettoDepartment of Human Genetics, University of Chicago, Chicago, IL, 60637, USA.
Matthew DapasDepartment of Human Genetics, University of Chicago, Chicago, IL, 60637, USA.
Matthew C AltmanDivision of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, 98109, USA.
Mario G RosascoSystems Immunology Program, Benaroya Research Institute, Seattle, WA, 98101, USA.
James E GernDepartment of Pediatrics, University of Wisconsin, School of Medicine and Public Health, Madison, WI, 53706, USA.
Daniel J JacksonDepartment of Pediatrics, University of Wisconsin, School of Medicine and Public Health, Madison, WI, 53706, USA.
Hae Kyung ImSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA.
Matthew StephensDepartment of Statistics, University of Chicago, Chicago, IL, 60637, USA.
Dan L NicolaeDepartment of Human Genetics, University of Chicago, Chicago, IL, 60637, USA.
Carole OberDepartment of Human Genetics, University of Chicago, Chicago, IL, 60637, USA. c-ober@genetics.uchicago.edu.
University of Chicago · USUniversity of Wisconsin–Madison · USBenaroya Research InstituteUniversity of Washington · US

Funding

Inner City Asthma consortium 3 (ICAC3)UM1AI114271 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI GERN, JAMES E., JACKSON, DANIEL J · 2014 to 2021
$79.4M
Wisconsin Infant Study Cohort (WISC) ECHO Pediatric Follow-UpUH3OD023282 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern · 2018 to 2026
$64.8M
Childhood Asthma in Urban Settings Leadership Center Administrative Supplement for URECA Yr4UM1AI160040 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern, DANIEL J JACKSON · 2021 to 2026
$41.1M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Matthew J Brady · 2013 to 2026
$20.9M
Wisconsin Infant Study Cohort (WISC) ECHO Pediatric Follow-UpUG3OD023282 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI GERN, JAMES E. · 2016 to 2024
$19.3M
RESEARCH TRAINING IN RESPIRATORY BIOLOGYT32HL007605 · NHLBI · UNIVERSITY OF CHICAGO · PI Yun Fang, Gokhan M. Mutlu · 1985 to 2026
$18.1M
PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Project-003U19AI162310 · NIAID · UNIVERSITY OF CHICAGO · PI Marcelo A. Nobrega, Carole Ober · 2021 to 2026
$10.6M
Sex-Specific Genetic Architecture of Asthma-Associated Quantitative TraitsR01HL085197 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 2007 to 2015
$7.6M
J. NRSA Training CoreTL1TR002388 · NCATS · UNIVERSITY OF CHICAGO · PI ALI KESHAVARZIAN, Sonia Kupfer · 2017 to 2026
$6.7M
MOLECULAR GENETIC STUDIES OF FERTILITY IN THE HUTTERITESR01HD021244 · NICHD · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 1986 to 2011
$3.0M
Genetics of Asthma Sub-Phenotypes Impact Gene Regulation in Cell-Specific PatternsK08HL153955 · NHLBI · UNIVERSITY OF CHICAGO · PI SCHOETTLER, NATHAN R · 2020 to 2024
$785k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCATS NIH HHS TL1 TR002388NHLBI NIH HHS K08 HL153955NHLBI NIH HHS L30 HL154452NHLBI NIH HHS R01 HL085197NHLBI NIH HHS T32 HL007605NIAID NIH HHS U19 AI162310NIAID NIH HHS UM1 AI114271NIAID NIH HHS UM1 AI160040NICHD NIH HHS R01 HD021244NIDDK NIH HHS P30 DK020595NIGMS NIH HHS T32 GM007197NIH HHS K08 HL153955NIH HHS R01 HL085197NIH HHS T32 GM007197NIH HHS TL1 TR002388NIH HHS U19 AI62310NIH HHS UG3 OD023282NIH HHS UH3 OD023282NIH HHS UM1 AI114271
6 · The paper itself

Abstract

backgroundGenome-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.

methodsWe 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).

resultsGenetic 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.

conclusionsWe 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.

Indexed as

AsthmaGenome-Wide Association StudyAdultAmino AcidsBayes TheoremChildCoenzyme AGenetic Predisposition to DiseaseHumansLeukocytes, MononuclearPolymorphism, Single NucleotideAmino AcidsCoenzyme AAsthmaFine-mappingHLA

Identifiers

PMID35606880
PMCPMC9128203
OpenAlexW4281381704

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.