Publication: Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood.
Publication Date: April 1, 2019
Authors: Khera AV, Chaffin M, Wade KH, Zahid S, Brancale J, Xia R, Distefano M, Senol-Cosar O, Haas ME, Bick A, Aragam KG, Lander ES, Smith GD, Mason-Suares H, Fornage M, Lebo M, Timpson NJ, Kaplan LM, Kathiresan S.
PGS Associated with PGP000017
PGS Developed By This Study
PGS Performance MetricsDisclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.
|PGS Performance Metric (PPM) ID||Evaluated Score||PGS Catalog Sample Set (PSS) ID||Performance Source||Trait||
PGS Effect Sizes
(per SD change)
|PGS Classification Metrics||Other Metrics||Covariates Included in PGS Model||PGS Performance: Other Relevant Information|
|PPM000054||PGS000027 (GPS_BMI)||PSS000037||Khera AV et al. (2019)||Reported Trait: Body mass index||β: 1.41||—||R²: 0.085264||First 10 genetic PCs||Beta is in units of kg/m^2|
|PGS Catalog Sample Set (PSS) ID||Detailed Phenotype Description (e.g. ICD/SNOMED codes used to identify cases)||Sample Numbers||Sample Ancestry||Additional Ancestry Description||Cohort(s)||Additional Sample/Cohort Information|
45.00 %% Male samples