Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Polygenic prediction of body mass index and obesity through the life course and across ancestries

Roelof A. J. Smit, Kaitlin H. Wade, Qin Hui, Joshua Arias, Xianyong Yin, Malene R. Christiansen, Loïc Yengo, Michael Preuß, Mariam Nakabuye, Ghislain Rocheleau, Sarah E. Graham, Victoria L. Buchanan, Geetha Chittoor, Marielisa Graff, Marta Guindo-Martínez, Yingchang Lu, Eirini Marouli, Saori Sakaue, Cassandra N. Spracklen, Sailaja Vedantam, Emma P Wilson, Shyh‐Huei Chen, Teresa Ferreira, Yingjie Ji, Tugce Karaderi, Kreete Lüll, Moara Machado, Deborah E. Malden, Carolina Medina‐Gómez, Amy Moore, Sina Rüeger, Masato Akiyama, Matthew Allison, Marcus Alvarez, Mette K. Andersen, Vivek Appadurai, Liubov Arbeeva, Eric Bartell, Seema Bhaskar, Lawrence F. Bielak, Joshua C. Bis, Sailalitha Bollepalli, Jette Bork‐Jensen, Jonathan P. Bradfield, Yuki Bradford, Caroline Brandl, Peter S. Braund, Jennifer A. Brody, Ulrich Broeckel, Kristoffer Sølvsten Burgdorf, Brian E. Cade, Qiuyin Cai, Silvia Camarda, Archie Campbell, Marisa Cañadas‐Garre, Jin Fang Chai, Alessandra Chesi, Seung Hoan Choi, Paraskevi Christofidou, Christian Couture, Gabriel Cuéllar-Partida, Rebecca Danning, Frauke Degenhardt, Graciela E. Delgado, Alessandro Delitala, Ayşe Demirkan, Xuan Deng, Alexander Dietl, Maria Dimitriou, Latchezar Dimitrov, Rajkumar Dorajoo, Fabian Eichelmann, Anders Eliasen, Jorgen Engmann, Michael R. Erdos, Zammy Fairhurst-Hunter, Aliki-Eleni Farmaki, Jessica D. Faul, Juan-Carlos Fernandez-Lopez, Lukas Forer, Mirjam Frank, Sandra Freitag-Wolf, Lars Fritsche, Christian Fuchsberger, Tessel E. Galesloot, Yan Gao, Frank Geller, Olga Giannakopoulou, Franco Giulianini, Anette P. Gjesing, Anuj Goel, Scott D. Gordon, Mathias Gorski, Jakob Grove, Xiuqing Guo, Stefan Gustafsson, J. Haessler, Thomas Folkmann Hansen, Aki S. Havulinna, Simon Haworth

Nature Medicine · 2025

Read source ↗ All evidence

Summary

Polygenic scores (PGSs) for body mass index (BMI) may guide early prevention and targeted treatment of obesity. Using genetic data from up to 5.1 million people (4.6% African ancestry, 14.4% American ancestry, 8.4% East Asian ancestry, 71.1% European ancestry and 1.5% South Asian ancestry) from the GIANT consortium and 23andMe, Inc., we developed ancestry-specific and multi-ancestry PGSs. The multi-ancestry score explained 17.6% of BMI variation among UK Biobank participants of European ancestry. For other populations, this ranged from 16% in East Asian-Americans to 2.2% in rural Ugandans. In the ALSPAC study, children with higher PGSs showed accelerated BMI gain from age 2.5 years to adolescence, with earlier adiposity rebound. Adding the PGS to predictors available at birth nearly double

Source type
Peer-reviewed study
DOI
10.1038/s41591-025-03827-z
Catalogue ID
SNmois7sjm-c888dy
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.