Author Correction: Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank
Wei Xu, Ines Mesa-Eguiagaray, David M. Morris, Chengjia Wang, Calum D. Gray, Samuel Sjöström, Giorgos Papanastasiou, Sammy Badr, Julien Paccou, Xue Li, Paul R. H. J. Timmers, Maria Timofeeva, Susan M. Farrington, Malcolm G. Dunlop, Scott I. Semple, Tom MacGillivray
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsCancer-related molecular mechanisms research · Radiomics and Machine Learning in Medical Imaging · Bone and Joint Diseases
Correction to: Nature Communications 10.1038/s41467-024-55422-4, published online 2 January 2025
In the version of this article initially published, in the fourth paragraph of the “Sex sensitivity analysis for meta-GWAS in the white population” section, in the sentence now reading “Notably, we identified three sex-specific genes: AKNA and WHRN were associated with total hip BMFF in males only, while VMPI was associated with spine BMFF in females only,” AKNA originally appeared as “ANKA.” The error has been corrected in the HTML and PDF versions of the article.