Unveiling the genetic architecture of testicular volume: a population-based GWAS using machine learning-based mri segmentations
Beeken P; Ernsting J; Ogoniak L; Kockwelp J; Hahn T; Risse B; Busch, A. S.
Research article in digital collection (conference) | Peer reviewedDetails about the publication
Name of the repository: Endocrine Abstracts
Editors: Hokken-Koelega, Anita; Bertherat, Jérôme
Book title: Joint Congress of the European Society for Paediatric Endocrinology (ESPE) and the European Society of Endocrinology (ESE) 2025: Connecting Endocrinology Across the Life Course (Volume 110)
Article number: 110 P993
Status: Published
Release year: 2025
Language in which the publication is written: English
Conference: Joint Congress of the European Society for Paediatric Endocrinology (ESPE) and the European Society of Endocrinology (ESE) 2025, Copenhagen, Denmark
Keywords: machine learning; genetics; testicular volume
Authors from the University of Münster
| Busch, Alexander | University Children's Hospital - Department for General Paediatrics |
| Ernsting, Jan | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
| Hahn, Tim | Institute of Translational Psychiatry |
| Kockwelp, Jacqueline | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
| Ogoniak, Lynn | Institute of Medical Informatics |
| Risse, Benjamin | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |