TY  - JOUR
AU  - Peruchet-Noray, Laia
AU  - Dimou, Niki
AU  - Cordova, Reynalda
AU  - Fontvieille, Emma
AU  - Jansana, Anna
AU  - Gan, Quan
AU  - Breeur, Marie
AU  - Baurecht, Hansjörg
AU  - Bohmann, Patricia
AU  - Konzok, Julian
AU  - Stein, Michael J
AU  - Dahm, Christina C
AU  - Zilhão, Nuno R
AU  - Mellemkjær, Lene
AU  - Tjønneland, Anne
AU  - Kaaks, Rudolf
AU  - Katzke, Verena
AU  - Inan-Eroglu, Elif
AU  - Schulze, Matthias B
AU  - Masala, Giovanna
AU  - Sieri, Sabina
AU  - Simeon, Vittorio
AU  - Matullo, Giuseppe
AU  - Molina-Montes, Esther
AU  - Amiano, Pilar
AU  - Chirlaque, María-Dolores
AU  - Gasque, Alba
AU  - Atkins, Joshua
AU  - Smith-Byrne, Karl
AU  - Ferrari, Pietro
AU  - Viallon, Vivian
AU  - Agudo, Antonio
AU  - Gunter, Marc J
AU  - Bonet, Catalina
AU  - Freisling, Heinz
AU  - Carreras-Torres, Robert
TI  - Nature or nurture: genetic and environmental predictors of adiposity gain in adults.
JO  - EBioMedicine
VL  - 111
SN  - 2352-3964
CY  - Amsterdam [u.a.]
PB  - Elsevier
M1  - DKFZ-2024-02721
SP  - 105510
PY  - 2025
N1  - Volume 111, January 2025, 105510
AB  - Previous prediction models for adiposity gain have not yet achieved sufficient predictive ability for clinical relevance. We investigated whether traditional and genetic factors accurately predict adiposity gain.A 5-year gain of ≥5
KW  - Adiposity gain (Other)
KW  - Environmental factors (Other)
KW  - Polygenic risk scores (Other)
KW  - Prediction (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:39689375
DO  - DOI:10.1016/j.ebiom.2024.105510
UR  - https://inrepo02.dkfz.de/record/295908
ER  -