Multi‐Omics‐Based Biological Mechanisms for Childhood Allergen Sensitization Trajectories: <scp>COCOA</scp> Study

The datasets from this study are not publicly available due to ethical restrictions. Figure S1: The proportion of trajectories for allergic diseases according to sensitization trajectories. Figure S2: Different intensities in metabolites between Cluster 1 and Cluster 3. Table S1: General characteristics and comorbidities according to the sensitization trajectories. Table S2: Characteristics of the subjects absent from and involved in the multi-omics integration. Table S3: Functional annotation of proteins with varying intensities between the clusters. Table S4: Multivariable regression analysis between clinical markers and trihydroxyvitamin D. Table S5: Multivariable regression analysis between cord blood vitamin D and trihydroxyvitamin D at age 7. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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Publication Details

Journal
Allergy
Published
2026-01-19
DOI
https://doi.org/10.1111/all.70230
Primary Topic
Vitamin D Research Studies
Type
article
Field-Weighted Citation Impact
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article

Multi‐Omics‐Based Biological Mechanisms for Childhood Allergen Sensitization Trajectories: COCOA Study

Jeonghun Yeom, Hyo‐Bin Kim, Hyun Ju Yoo, Kangmo Ahn et al.
Allergy
Vitamin D Research Studies
article

Multi‐Omics‐Based Biological Mechanisms for Childhood Allergen Sensitization Trajectories: COCOA Study

Jeonghun Yeom, Hyo‐Bin Kim, Hyun Ju Yoo, Kangmo Ahn, Suh DI, Soo‐Jong Hong, Eom Ji Choi, Eun Young Lee, Jihyun Kim, Hea Young Oh, Jisun Yoon, Youn Ho Shin, Ji Soo Park, Seung Hwa Lee, Kyung Won Kim, Da Kyeong Lee, So‐Yeon Lee, Song‐I Yang
article en

Abstract

The datasets from this study are not publicly available due to ethical restrictions. Figure S1: The proportion of trajectories for allergic diseases according to sensitization trajectories. Figure S2: Different intensities in metabolites between Cluster 1 and Cluster 3. Table S1: General characteristics and comorbidities according to the sensitization trajectories. Table S2: Characteristics of the subjects absent from and involved in the multi-omics integration. Table S3: Functional annotation of proteins with varying intensities between the clusters. Table S4: Multivariable regression analysis between clinical markers and trihydroxyvitamin D. Table S5: Multivariable regression analysis between cord blood vitamin D and trihydroxyvitamin D at age 7. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Allergy
Ulsan College (KR), Seoul National University (KR), Yonsei University (KR), Promundo (US), Severance Hospital (KR), Asan Medical Center (KR), Samsung Medical Center (KR), Kyung Hee University (KR), University of Ulsan (KR), Sacred Heart Hospital (NG), Sacred Heart Hospital (US), Chonnam National University Hospital (KR), Gangnam Severance Hospital (KR), Sacred Heart Hospital (US), National Medical Center (KR), Inha University Hospital (KR), Hallym University Sacred Heart Hospital (KR), CHA University Gangnam Medical Center (KR), Sungkyunkwan University (KR)
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Vitamin D Research Studies
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