Evidence map›Paper›PMID 40695273›Full record

ArticleAmerican journal of human genetics2025

Genetic predisposition for immunoglobulin E production explains atopic risk in children: Tohoku Medical Megabank cohort study.

Yoichi Sutoh, Tsuyoshi Hachiya, Yayoi Otsuka-Yamasaki, Shohei Komaki, Shiori Minabe, Hideki Ohmomo, Kozo Tanno, Atsushi Hozawa, Naoki Nakaya, Aoi Noda and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of human genetics, 2025. 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. Article
  2. Article
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

16 authors.

Yoichi SutohDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan. Electronic address: ysutoh@iwate-med.ac.jp.
Tsuyoshi HachiyaDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
Yayoi Otsuka-YamasakiDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
Shohei KomakiDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
Shiori MinabeDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
Hideki OhmomoDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
Kozo TannoDivision of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan.
Atsushi HozawaDivision of Epidemiology, School of Public Health, Graduate School of Medicine, Tohoku University, Sendai, Japan; Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Naoki NakayaDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Aoi NodaDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Masatsugu OruiDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Mami IshikuroDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Taku ObaraDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Shinichi KuriyamaDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Division of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Makoto SasakiIwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
Atsushi ShimizuDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan; Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan. Electronic address: ashimizu@iwate-med.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The atopic march lacks early identification methods for high-risk children. In this study, we assessed whether the risk of atopic diseases in infants could be predicted using a polygenic score (PGS) for total immunoglobulin E (IgE) levels. The PGS estimated using the polygenic model generated by PRS-CS was significantly correlated with log-transformed IgE levels (ρ = 0.200, p < 2.2 × 10

Indexed as

Dermatitis, AtopicFood HypersensitivityGenetic Predisposition to DiseaseImmunoglobulin EBirth CohortChildChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornJapanMaleMultifactorial InheritanceRisk FactorsImmunoglobulin Eallergic diseaseatopic dermatitisatopic marchbirth cohortfood allergygenetic predispositionHLAimmunoglobulin Ephenome-wide association studypolygenic score

Identifiers

PMID40695273
PMCPMC12414674

What OpenQuestion holds

Textmetadata
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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.