Multi-ancestry genome-wide association meta-analysis identifies novel associations and informs genetic risk prediction for Hirschsprung disease.

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Bibliographic Details
Title: Multi-ancestry genome-wide association meta-analysis identifies novel associations and informs genetic risk prediction for Hirschsprung disease.
Authors: Zhong Y; Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., So MT; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., Ma Z; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., Zhang D; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., Wang Y; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., Xiong Z; Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., Fadista J; Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark., Song YQ; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., Cheah KS; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., Alves MM; Department of Clinical Genetics, Erasmus University Medical Centre, Sophia Children's Hospital, Rotterdam, the Netherlands., Borrego S; Department of Genetics, Reproduction and Fetal Medicine, Institute of Biomedicine of Seville (IBIS), University Hospital Virgen del Rocio/CSIC/University of Seville, Seville, Spain; Centre for Biomedical Network Research on Rare Diseases (CIBERER), Seville, Spain., Ceccherini I; IRCCS Istituto Giannina Gaslini, Genoa, Italy., Pakarinen MP; Section of Pediatric Surgery, Helsinki University Hospital and University of Helsinki, Finland; Pediatric Liver and Gut Research Group, University of Helsinki, Finland., Feenstra B; Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark; Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Lui VC; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China; Dr Li Dak-Sum Research Centre, The University of Hong Kong - Karolinska Institutet Collaboration in Regenerative Medicine, Hong Kong Special Administrative Region of China., Garcia-Barcelo MM; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China., Sham PC; Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address: pcsham@hku.hk., Tam PK; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China; Faculty of Medicine, Macau University of Science and Technology, Macao, China. Electronic address: pkhtam@must.edu.mo., Tang CS; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China; Dr Li Dak-Sum Research Centre, The University of Hong Kong - Karolinska Institutet Collaboration in Regenerative Medicine, Hong Kong Special Administrative Region of China. Electronic address: claratang@hku.hk.
Source: EBioMedicine [EBioMedicine] 2025 May; Vol. 115, pp. 105680. Date of Electronic Publication: 2025 Apr 03.
Publication Type: Journal Article; Meta-Analysis
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101647039 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2352-3964 (Electronic) Linking ISSN: 23523964 NLM ISO Abbreviation: EBioMedicine Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2352-3964
DOI:10.1016/j.ebiom.2025.105680