Evidence map›Paper›PMID 42305392›Full record

ArticleThe journal of allergy and clinical immunology. Global2026

Cumulative genetic risk for asthma contributes to disease severity in children with asthma.

Matthew Dapas, William Wentworth-Sheilds, Emma E Thompson, Rajesh Kumar, Elizabeth Lippner, Robert A Wood, George T O'Connor, Gurjit K Khurana Hershey, Rebecca S Gruchalla, Andrew H Liu and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of allergy and clinical immunology. Global, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Matthew DapasDivision of Rheumatology, Department of Medicine, Center for Human Immunobiology, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill.
William Wentworth-SheildsDepartment of Human Genetics, University of Chicago, Chicago, Ill.
Emma E ThompsonDepartment of Human Genetics, University of Chicago, Chicago, Ill.
Rajesh KumarAnn and Robert H. Lurie Children's Hospital, Division of Allergy and Immunology, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Ill.
Elizabeth LippnerAnn and Robert H. Lurie Children's Hospital, Division of Allergy and Immunology, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Ill.
Robert A WoodDepartment of Pediatrics, Johns Hopkins University Medical Center, Baltimore, Md.
George T O'ConnorPulmonary Center, Boston University School of Medicine, Boston, Mass.
Gurjit K Khurana HersheyDivision of Asthma Research, Cincinnati Children's Hospital, Cincinnati, Ohio.
Rebecca S GruchallaDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Tex.
Andrew H LiuChildren's Hospital Colorado, Department of Allergy and Immunology, University of Colorado School of Medicine, Aurora, Colo.
Edward M ZorattiDepartments of Medicine and Public Health Sciences, Henry Ford Health and Michigan State University College of Human Medicine, Detroit, Mich.
Leonard B BacharierMonroe Carell Jr Children's Hospital at Vanderbilt University Medical Center, Nashville, Tenn.
Stephanie Lovinsky-DesirDepartment of Pediatrics and Environmental Health Sciences, Columbia University, New York, NY.
Michele A GillDepartment of Pediatrics, Washington University School of Medicine, St Louis, Mo.
William J SheehanChildren's National Hospital, Division of Allergy and Immunology, George Washington University School of Medicine and Health Sciences, Washington, DC.
Shilpa J PatelDivision of Emergency Medicine, Children's National Hospital, Washington, DC.
Matthew C AltmanDepartment of Allergy and Infectious Diseases, University of Washington, Seattle, Wash.
James E GernDepartments of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Cynthia M VisnessRho Inc, Durham, NC.
Peter J GergenNational Institute of Allergy and Infectious Diseases, Bethesda, Md.
Patrice M BeckerNational Institute of Allergy and Infectious Diseases, Bethesda, Md.
Daniel J JacksonDepartments of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Carole OberDepartment of Human Genetics, University of Chicago, Chicago, Ill.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
New Approaches for Empowering Studies of Asthma in Populations of African DescentR01HL104608 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BARNES, KATHLEEN C, KENNY, EIMEAR ELIZABETH · 2011 to 2022
$23.1M
NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR001425NCATS NIH HHS UL1 TR002345NHLBI NIH HHS R01 HL104608
6 · The paper itself

Abstract

Background: Childhood-onset asthma is highly heritable, with nearly 200 risk loci identified in genome-wide association studies. Aggregated polygenic risk scores (PRSs) can be used to quantify genetic predisposition to asthma, but their power to predict asthma severity in multiancestral groups has not been previously evaluated. Objective: Our aim was to examine the predictive power of biobank-derived asthma PRSs in 4 multiancestry asthma study cohorts of children living in US urban environments. Methods: We generated PRSs for asthma, derived from a large-scale genome-wide association meta-analysis, and assessed genetic predictions across different subphenotypes of asthma and tested for associations between genetic asthma risk and measures of asthma severity. Results: PRS prediction was significantly stronger for more symptomatic asthma phenotypes ( Conclusion: Cumulative genetic risk for asthma is associated with disease severity and exacerbation risk in children with asthma.

Indexed as

Asthmageneticspolygenic risk score

Identifiers

PMID42305392
PMCPMC13265994

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.