Back

Identification of novel vertebral development factors through UK Biobank driven genetic and body imaging analysis reveals markers for back pain

Sun, Z.; Han, J.; Fearnley, L. G.; McGlinn, E.; Bahlo, M.

2025-02-14 genetic and genomic medicine
10.1101/2025.02.13.25322190 medRxiv
Show abstract

Numerical variations and transitional anatomy in the human vertebral column, observed in up to 36% of individuals, represent a significant yet understudied aspect of skeletal development with potential effects on multiple physiological systems. Utilising UK Biobank data, we integrated genetic analysis with deep learning-based multi-modal body imaging to investigate genetic factors associated with thoracic and lumbar spine anatomy. We identified three key genes--GPC3, NR6A1, and VRTN--associated with numerical variations of the lumbar vertebrae and ribs, with VRTN reported for the first time in humans as influencing vertebral development. Our findings reveal significant associations between these genetic variants, vertebral and rib anomalies, and increased prevalence of chronic pain. This study highlights the genetic underpinnings of vertebral development and demonstrates the utility of combining imaging and genetic data to uncover skeletal variation and its health implications for population health. TeaserIntegration of genetic and imaging data uncovers novel genetic factors in human vertebral variations and their link to chronic pain.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.