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CORRECTION article

Front. Genet., 12 November 2025

Sec. Computational Genomics

Volume 16 - 2025 | https://doi.org/10.3389/fgene.2025.1735649

Correction: Integrative machine learning and Mendelian randomization identify causal laboratory biomarkers for coronary artery lesions in Kawasaki disease: a prospective study

This article is a correction to:

  1. Integrative machine learning and Mendelian randomization identify causal laboratory biomarkers for coronary artery lesions in Kawasaki disease: a prospective study

    1. Read original article
Hancao Yang&#x;Hancao Yang1†Meng Wu&#x;Meng Wu2†Keqing LiangKeqing Liang1Yi LiYi Li3Ran YangRan Yang3Beibei YuanBeibei Yuan1Ming Wu Ming Wu1*Jin Xu Jin Xu1*
  • 1Department of Clinical Laboratory, Children’s Hospital of Fudan University & National Children Medical Center, Shanghai, China
  • 2Department of Clinical Laboratory, Children’s Hospital of Nanjing Medical University, Nanjing, China
  • 3Department of Pediatric Surgery, Children’s Hospital of Fudan University & National Children Medical Center and Shanghai Key Laboratory of Birth Defect, Shanghai, China

A Correction on
Integrative machine learning and Mendelian randomization identify causal laboratory biomarkers for coronary artery lesions in Kawasaki disease: a prospective study

by Yang H, Wu M, Liang K, Li Y, Yang R, Yuan B, Wu M and Xu J (2025). Front. Genet. 16:1646032. doi: 10.3389/fgene.2025.1646032

Author Jin Xu was erroneously assigned to affiliation “Department of Clinical Laboratory, Children’s Hospital of Nanjing Medical University, Nanjing, China”. This affiliation has now been removed for author Jin Xu.

Affiliation “Department of Clinical Laboratory, Children’s Hospital of Fudan University and National Children Medical Center, Shanghai, China” was omitted for author Jin Xu. This affiliation has now been added for author Jin Xu.

The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: Kawasaki disease, coronary artery lesions, machine learning, Mendelian randomization, laboratory biomarkers

Citation: Yang H, Wu M, Liang K, Li Y, Yang R, Yuan B, Wu M and Xu J (2025) Correction: Integrative machine learning and Mendelian randomization identify causal laboratory biomarkers for coronary artery lesions in Kawasaki disease: a prospective study. Front. Genet. 16:1735649. doi: 10.3389/fgene.2025.1735649

Received: 30 October 2025; Accepted: 31 October 2025;
Published: 12 November 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Yang, Wu, Liang, Li, Yang, Yuan, Wu and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ming Wu, d21pbmdAZnVkYW4uZWR1LmNu; Jin Xu, amlueHVfMTI1QDE2My5jb20=

†These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.