Evidence map›Paper›PMID 37663543›Full record

ArticleHGG advances2023

Revealing polygenic pleiotropy using genetic risk scores for asthma.

Matthew Dapas, Yu Lin Lee, William Wentworth-Sheilds, Hae Kyung Im, Carole Ober, Nathan Schoettler

Open access · goldAbstract read
In one paragraph

Article in HGG advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Cumulative genetic risk for asthma contributes to disease severity in children with asthma.The journal of allergy and clinical immunology. Global · 2026
    Article
  6. Article
  7. Article
  8. Genome-wide Association Study IdentifiesAllergy, asthma & immunology research · 2026
    Article
  9. Article
  10. Article
  11. Update on the genetics of allergic diseases.The Journal of allergy and clinical immunology · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Genetics of chronic respiratory disease.Nature reviews. Genetics · 2024
    Review
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

6 authors at 1 institution in 1 country.

Matthew DapasDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Yu Lin LeeDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
William Wentworth-SheildsDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Hae Kyung ImSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Carole OberDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Nathan SchoettlerSection of Pulmonary and Critical Care Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
University of Chicago · US

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI GRAEME I BELL · 2013 to 2026
$20.9M
RESEARCH TRAINING IN RESPIRATORY BIOLOGYT32HL007605 · NHLBI · UNIVERSITY OF CHICAGO · PI Yun Fang, Gokhan M. Mutlu · 1985 to 2026
$18.1M
Project-003U19AI162310 · NIAID · UNIVERSITY OF CHICAGO · PI Marcelo A. Nobrega, Carole Ober · 2021 to 2026
$10.6M
J. NRSA Training CoreTL1TR002388 · NCATS · UNIVERSITY OF CHICAGO · PI ALI KESHAVARZIAN, Sonia Kupfer · 2017 to 2026
$6.7M
Genetics of Asthma Sub-Phenotypes Impact Gene Regulation in Cell-Specific PatternsK08HL153955 · NHLBI · UNIVERSITY OF CHICAGO · PI SCHOETTLER, NATHAN R · 2020 to 2024
$785k
NCATS NIH HHS TL1 TR002388NHLBI NIH HHS K08 HL153955NHLBI NIH HHS L30 HL154452NHLBI NIH HHS T32 HL007605NIAID NIH HHS U19 AI162310NIDDK NIH HHS P30 DK020595
6 · The paper itself

Abstract

In this study we examined how genetic risk for asthma associates with different features of the disease and with other medical conditions and traits. Using summary statistics from two multi-ancestry genome-wide association studies of asthma, we modeled polygenic risk scores (PRSs) and validated their predictive performance in the UK Biobank. We then performed phenome-wide association studies of the asthma PRSs with 371 heritable traits in the UK Biobank. We identified 228 total significant associations across a variety of organ systems, including associations that varied by PRS model, sex, age of asthma onset, ancestry, and human leukocyte antigen region alleles. Our results highlight pervasive pleiotropy between asthma and numerous other traits and conditions and elucidate pathways that contribute to asthma and its comorbidities.

Indexed as

AsthmaGenome-Wide Association StudyHumansMultifactorial InheritancePhenomicsRisk FactorsasthmaGBMIGlobal Biobank Meta-analysis InitativeHLAphenome-wide association studyPheWASpleiotropypolygenic risk scorePRSUKBUK Biobank

Identifiers

PMID37663543
PMCPMC10474095
OpenAlexW4385858645

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.