Evidence map›Paper›PMID 41324168›Full record

ArticlePediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology2025

Genome-wide cross-trait analysis of heterogeneous outcomes in early life atopic dermatitis.

Lisa J Martin, Hua He, Daniel Spagna, Seth Jenkins, Brittany Grashel, Wan Chi Chang, Lindsey Williams, Mindy Hammonds, Elisabet Johansson, Michael G Sherenian and 4 more

Abstract read
In one paragraph

Article in Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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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. Genome-wide cross-trait analysis of heterogeneous outcomes in early life atopic dermatitis.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Article
4 · The record

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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

14 authors.

Lisa J MartinDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID https://orcid.org/0000-0001-8702-9946
Hua HeDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Daniel SpagnaDivision of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Seth JenkinsDivision of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Brittany GrashelDivision of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Wan Chi ChangDivision of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Lindsey WilliamsDivision of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Mindy HammondsDivision of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Elisabet JohanssonDivision of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Michael G SherenianDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Jocelyn M BiaginiDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID https://orcid.org/0000-0002-4378-6133
Latha SatishDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Leah KottyanDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Gurjit K Khurana HersheyDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.

Funding

TSLP, IL-9-producing mucosal mast cells, and allergic inflammationU19AI070235 · NIAID · CINCINNATI CHILDRENS HOSP MED CTR · PI Gurjit K. Khurana Hershey · 2006 to 2026
$31.3M
National Institute of Allergy and Infectious Diseases U19AI070235NIAID NIH HHS U19 AI070235
6 · The paper itself

Abstract

backgroundPediatric atopic dermatitis exhibits substantial heterogeneity in presentation, course, and long-term outcomes resulting in distinct phenotypes. Yet, genetic studies of atopic dermatitis have focused on a single trait or outcome and thus may not fully reveal underlying genetic relationships.

objectiveTo identify novel genetic associations with early-life atopic dermatitis traits and evaluate shared genetic architecture across heterogeneous quantitative outcomes using a genome-wide cross-trait approach.

methodsChildren (n = 601) participating in the Mechanisms in the Progression of Atopic Dermatitis to Asthma in Childhood were genotyped and association was performed for each of 12 traits. Pleiotropy analyses were used to organize genetically similar traits into Pleiotropic Groups. A principal components (composite) variable was generated for each pleiotropic group and another genetic association was performed.

resultsFive novel genome-wide significant associations were identified with single traits: progression to additional atopic conditions, S100A8 lesional expression (2 associations), sensitization to food allergens, and sensitization to aeroallergens. When evaluating pleiotropy, the 12 traits organized into 4 pleiotropic groups. There were more shared gene associations among traits within a pleiotropic group than between (p = 1.5 × 10

conclusionHerein, we identify novel genetic associations with pediatric atopic dermatitis traits. Further, our findings reveal a novel opportunity for enhancing genetic discovery by leveraging multi-trait effects and provide new insights into atopic dermatitis traits with shared genetic etiologies.

Indexed as

AsthmaDermatitis, AtopicChildChild, PreschoolDisease ProgressionFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansInfantMalePhenotypePolymorphism, Single Nucleotidecomposite variablegenetic associationmulti‐trait analysespediatricpleiotropy

Identifiers

PMID41324168
PMCPMC12667001

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LicenceCC BY-NC-ND
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Registered trials

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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.