Genetic Insights into Head-to-Body Ratios Via Deep Learning-Based Image Segmentation and Implications for Common Diseases
Wei Shi, Shan-Shan Dong, Ren-Jie Zhu, Shi-Hao Tang, Jia-Hao Wang, Feng Jiang, Hao Wu, Yuan-Yuan Duan, Jing Guo, Kai Liu, Zheng-Qiang Li, Meng Li, Jianzhong Wang, Yan Guo, Tie-Lin Yang · 2025
Read Genetic Insights into Head-to-Body Ratios Via Deep Learning-Based Image Segmentation and Implications for Common Diseases by Wei Shi, Shan-Shan Dong, Ren-Jie Zhu, Shi-Hao Tang, Jia-Hao Wang, Feng Jiang, Hao Wu, Yuan-Yuan Duan, Jing Guo, Kai Liu, Zheng-Qiang Li, Meng Li, Jianzhong Wang, Yan Guo, Tie-Lin Yang (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12827411.txt.
Description
Wei Shi and co-authors read the genetics of head-to-body proportions from full-body scans, in this 2025 study. Proportions shape growth and may flag disease risk, yet their genetic basis was nearly untouched. Deep learning measured ten ratio traits across more than thirty-eight thousand UK Biobank scans.
Genome scans found two hundred forty-five linked regions, and the traits proved substantially heritable. Genes behind the ratios cluster in cartilage cells of the skeleton and support cells of the brain. Genetic scores tied the ratios to heart, metabolic, bone, and mental health risks. Ratio-linked variants also crowd into genome regions conserved through evolution and sped up in humans. The authors pitch proportions as health markers.
Catalog record
| CREATOR | Wei Shi, Shan-Shan Dong, Ren-Jie Zhu, Shi-Hao Tang, Jia-Hao Wang, Feng Jiang, Hao Wu, Yuan-Yuan Duan, Jing Guo, Kai Liu, Zheng-Qiang Li, Meng Li, Jianzhong Wang, Yan Guo, Tie-Lin Yang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 70 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |