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Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank

2025-09-05

Abstract excerpt

Scoliosis is the most common developmental spinal deformity, but its genetic underpinnings remain only partially understood. To enhance the identification of scoliosis-related loci, we utilized whole body dual energy X-ray absorptiometry (DXA) scans from 57,887 individuals in the UK Biobank (UKB), and quantified spine curvature by applying deep learning models to segment then landmark vertebrae to measure the cumu...

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Literature Corpus work
0977bdad-b4b5-5f69-8d35-98e3e1fed090
DOI
10.1101/2025.09.03.25335040
Open publication

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Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK BiobankDOI 10.1101/2025.09.03.25335040
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