Evidence map›Paper›PMID 42129325›Full record

ArticleScientific reports2026

S-PrediXcan predicted gene expression in human placenta is associated with childhood-onset asthma risk.

Elizabeth A Jasper, Christopher G McKennan, Emma E Thompson, Nathan Schoettler, Tebeb Gebretsadik, Jacklyn N Hellwege, Todd L Edwards, Carole Ober, Digna R Velez Edwards, Tina V Hartert and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Elizabeth A JasperDepartment of Obstetrics and Gynecology, Division of Quantitative and Clinical Sciences, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1150, Nashville, TN, 37203, USA.
Christopher G McKennanDepartment of Statistics, University of Pittsburgh, Pittsburgh, PA, USA.
Emma E ThompsonDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Nathan SchoettlerDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Tebeb GebretsadikDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Jacklyn N HellwegeVanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Todd L EdwardsVanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Carole OberDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Digna R Velez EdwardsDepartment of Obstetrics and Gynecology, Division of Quantitative and Clinical Sciences, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1150, Nashville, TN, 37203, USA.
Tina V HartertDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Brittney M SnyderDepartment of Obstetrics and Gynecology, Division of Quantitative and Clinical Sciences, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 1150, Nashville, TN, 37203, USA. brittney.m.snyder@vumc.org.

Funding

Vanderbilt Integrated Center of Excellence in Maternal and Pediatric Precision Therapeutics (VICE-MPRINT)P50HD106446 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PRINCE Joseph KANNANKERIL, Digna R Velez Edwards · 2021 to 2026
$9.7M
Building Interdisciplinary Research Careers in Women's HealthK12AR084232 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI AMY S MAJOR, Digna R Velez Edwards · 2023 to 2026
$1.3M
Genetics of Asthma Sub-Phenotypes Impact Gene Regulation in Cell-Specific PatternsK08HL153955 · NHLBI · UNIVERSITY OF CHICAGO · PI SCHOETTLER, NATHAN R · 2020 to 2024
$785k
Identifying molecular pathways in childhood asthma pathogenesis by integrating newborn metabolic profiles and GWAS dataK01HL161257 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Brittney M Snyder · 2022 to 2026
$650k
NHLBI NIH HHS K01 HL161257NHLBI NIH HHS K08 HL153955NIAMS NIH HHS K12 AR084232NICHD NIH HHS P50 HD106446NIH HHS K01 HL161257NIH HHS K08 HL153955NIH HHS K12 AR084232NIH HHS P50 HD106446
6 · The paper itself

Abstract

Investigation of in utero, tissue-specific molecular pathways contributing to prenatal programming of childhood-onset asthma is needed to develop effective, targeted prevention strategies. We aimed to examine the relationship between predicted gene expression in placenta and childhood-onset asthma and to compare relationships between childhood- and adult-onset asthma. Asthma genome-wide association study published summary statistics were obtained from the UK Biobank and published placental gene expression quantitative trait loci were obtained from the Rhode Island Child Health Study. We used S-PrediXcan to evaluate and compare associations between placental predicted gene expression and childhood- and adult-onset asthma and to determine whether signals were placenta-specific. Among 8,038 tested placental predicted expression-asthma associations, we identified 56 (0.7%) genes only significantly associated with childhood-onset asthma, 12 (0.1%) genes only significantly associated with adult-onset asthma, and 18 (0.2%) shared genes. Predicted expression of several genes (ACTL9, AMN, C9orf38, C11orf30, CTSE, EFCAB13, EIF4E1B, FN1, GLS2, IL6, IVL, LZIC, MAN2A2, MEGT1, RACGAP1, SMAD6, SPATA5, TMEM25, VTI1B, WDR19) was not significantly associated with childhood- or adult-onset asthma in any non-placental tissue, suggesting that the associations may be placenta-specific. This study identified alterations in predicted expression of placental genes associated with transcriptional pathways critical to the development of asthma. We identified unique and shared pathways, particularly related to immune regulation, associated with childhood- and adult-onset. This expands our understanding of the fetal origins of asthma, highlights the placenta as an informative tissue in understanding asthma pathogenesis, and identifies target genes to prioritize for future functional studies.

Indexed as

AsthmaPlacentaAdultAge of OnsetChildFemaleGene ExpressionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotidePregnancyQuantitative Trait Loci

Identifiers

PMID42129325
PMCPMC13365522

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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.