0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Join our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessBACKGROUND: Pubertal growth patterns correlate with future health outcomes. However, the genetic mechanisms mediating growth trajectories remain largely unknown. Here, we modeled longitudinal height growth with Super-Imposition by Translation And Rotation (SITAR) growth curve analysis on ~ 56,000 trans-ancestry samples with repeated height measurements from age 5 years to adulthood. We performed genetic analysis on six phenotypes representing the magnitude, timing, and intensity of the pubertal growth spurt. To investigate the lifelong impact of genetic variants associated with pubertal growth trajectories, we performed genetic correlation analyses and phenome-wide association studies in the Penn Medicine BioBank and the UK Biobank. RESULTS: Large-scale growth modeling enables an unprecedented view of adolescent growth across contemporary and 20th-century pediatric cohorts. We identify 26 genome-wide significant loci and leverage trans-ancestry data to perform fine-mapping. Our data reveals genetic relationships between pediatric height growth and health across the life course, with different growth trajectories correlated with different outcomes. For instance, a faster tempo of pubertal growth correlates with higher bone mineral density, HOMA-IR, fasting insulin, type 2 diabetes, and lung cancer, whereas being taller at early puberty, taller across puberty, and having quicker pubertal growth were associated with higher risk for atrial fibrillation. CONCLUSION: We report novel genetic associations with the tempo of pubertal growth and find that genetic determinants of growth are correlated with reproductive, glycemic, respiratory, and cardiac traits in adulthood. These results aid in identifying specific growth trajectories impacting lifelong health and show that there may not be a single "optimal" pubertal growth pattern.
Jonathan P. Bradfield, Rachel L. Kember, Anna Ulrich, Zhanna Balkhiyarova, Akram Alyass, Izzuddin M. Aris, Joshua A. Bell, K. Alaine Broadaway, Zhanghua Chen, Jin Fang Chai, Neil M Davies, Dietmar Fernández‐Orth, Mariona Bustamante, Ruby Fore, Amitavo Ganguli, Anni Heiskala, Jouke‐Jan Hottenga, Carmen Íñiguez, Sayuko Kobes, Jaakko T. Leinonen, Estelle Lowry, Leo‐Pekka Lyytikäinen, Anubha Mahajan, Niina Pitkänen, Theresia M. Schnurr, Henri Theil, David P. Strachan, Elisabeth Thiering, Suzanne Vogelezang, Kaitlin H. Wade, Carol A. Wang, Andrew Wong, Louise Aas Holm, Alessandra Chesi, Catherine S. Choong, Miguel Cruz, Paul Elliott, Steve Franks, Christine Frithioff‐Bøjsøe, W. James Gauderman, Joseph Glessner, Vicente Gilsanz, Kendra Griesman, Robert L. Hanson, Marika Kaakinen, Heidi J. Kalkwarf, Andrea Kelly, Joseph M. Kindler, Mika Kähönen, Carla Lança, Joan M. Lappe, Sang Lee, Shana E. McCormack, Frank Mentch, Jonathan A. Mitchell, Nina Mononen, Harri Niinikoski, Emily Oken, Katja Pahkala, Xueling Sim, Yik‐Ying Teo, Leslie J. Baier, C.E.M. van Beijsterveldt, Linda S. Adair, Dorret I. Boomsma, Eco J. C. de Geus, Mònica Guxens, Johan G. Eriksson, Janine F. Felix, Frank D. Gilliland, Penn Medicine BioBank, Torben Hansen, Rebecca Hardy, Marie‐France Hivert, Jens‐Christian Holm, Vincent W. V. Jaddoe, Paul M Ridker, Terho Lehtimäki, David A. Mackey, David Meyre, Karen L. Mohlke, Juha Mykkänen, Sharon E. Oberfield, Craig E. Pennell, John R. B. Perry, Olli T. Raitakari, Fernando Rivadeneira, Seang‐Mei Saw, Sylvain Sebért, John Shepherd, Marie Standl, Thorkild I. A. Sørensen, Nicholas J. Timpson, Maties Torrent, Gonneke Willemsen, Elina Hyppönen, Chris Power, Mark I. McCarthy, Rachel M. Freathy, Elisabeth Widén (2024). Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes. , 25(1), DOI: https://doi.org/10.1186/s13059-023-03136-z.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2024
Authors
100
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1186/s13059-023-03136-z
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free AccessYes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
