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Record W4412988120 · doi:10.1016/j.jaci.2025.07.015

Genetic characterization of preschool wheeze phenotypes

2025· article· en· W4412988120 on OpenAlexaff
Kasper Fischer‐Rasmussen, Raquel Granell, Anders Eliasen, Eskil Kreiner, Casper‐Emil Tingskov Pedersen, Yang Luo, Bo Chawes, Jakob Stokholm, Ann‐Marie Malby Schoos, Ashish Kumar, Anne‐Marie Nybo Andersen, Bjarke Feenstra, Frank Geller, Valérie Siroux, Florence Démenais, Emmanuelle Bouzigon, Vincent W. V. Jaddoe, Ralf J.P. van der Valk, Liesbeth Duijts, Jordi Sunyer, Mònica Guxens, M. Marinelli, Mariona Bustamante, Joachim Heinrich, Marie Standl, John A. Curtin, Angela Simpson, Clare Murray, Bo Jacobsson, Ronny Myhre, Craig E. Pennell, Denise Daley, Carole Ober, James E Gern, Daniel Jackson, Dorret I. Boomsma, Jouke‐Jan Hottenga, Abdel Abdellaoui, John W. Holloway, Steve Turner, Syed Hasan Arshad, Anhar Ullah, Erik Melén, John Henderson, Hans Bisgaard, Anders Gorm Pedersen, Adnan Čustović, Judith M. Vonk, Gerard H. Koppelman, Michael Kabesch, Klaus Bønnelykke

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of British Columbia
FundersHorizon 2020 Framework ProgrammeDanmarks Frie ForskningsfondRiksförbundet HjärtLungHjärt-LungfondenEuropean Research CouncilNational Institutes of HealthLundbeckfondenSundhed og Sygdom, Det Frie ForskningsrådHORIZON EUROPE Framework ProgrammeStrategiske Forskningsråd
KeywordsWheezePhenotypeGeneticsMedicineBiologyAsthmaGeneImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Preschool wheeze is a heterogenous and poorly understood clinical syndrome. As a result, current treatments are insufficient, and prevention is not possible. OBJECTIVE: We sought to increase understanding of the genetic susceptibility and underlying disease mechanisms of wheeze phenotypes in early childhood through large-scale genome-wide association study analyses. METHODS: We performed meta-analyses of genome-wide association study on early-onset wheeze, defined as recurrent wheeze or asthma in the first 3 years of life, and its subtypes, including early transient and persistent wheeze, defined by asthma/wheeze at age 3 and subsequent remission or persistence at age 6, respectively. The discovery analyses included data on more than 13,000 children from 15 cohorts; replication was sought through meta-analyses of data from 7 additional cohorts including up to 5000 children. Genetic variants associated with asthma-related traits in adulthood (adult asthma, atopy, eosinophils, and lung function) were used to quantify the degree to which genetic risk influencing asthma-related adult traits also influences genetic risk of preschool wheeze. RESULTS: Variants near the GSDMB gene in the 17q region showed genome-wide significant association with early-onset wheeze (rs2305480; odds ratio [95% confidence interval] = 1.26 [1.17-1.33], P = 2.30E-16) and persistent wheeze (rs11078926; 1.43 [1.30-1.578], P = 2.14E-11), but not with early transient wheeze (rs1054609; 1.08 [0.98-1.18], P = .094). Other known asthma loci were associated with early-onset wheeze, particularly CDHR3. Additionally, increased genetic risk to early-onset wheeze was associated with genetic risk for asthma at older ages, atopy, eosinophil count, and lower adult lung function. This was driven by persistent wheeze, whereas transient early wheeze was only associated with low lung function. CONCLUSIONS: Preschool wheeze phenotypes displayed distinct patterns of single nucleotide polymorphism associations and genetic enrichment with asthma-related traits. These results indicate distinct etiologies of wheeze phenotypes, which could inform studies in optimization of prevention and treatment strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.309
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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