Publication: Personalized risk prediction for type 2 diabetes: the potential of genetic risk scores.
Publication Date: Aug. 11, 2016
Journal: Genet Med
Authors: Läll K, Mägi R, Morris A, Metspalu A, Fischer K.
PGS Associated with PGP000010
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|
|PPM000040||PGS000020 (dGRS1000)||PSS000025||Läll K et al. (2016)||Reported Trait: Incident type 2 diabetes||HR: 1.48 [1.32 - 1.66]||C-index: 0.79 [0.771 - 0.812]||—||BMI category, smoking level, waist-to-hip ratio, waist circumference, physical activity level, history of high blood glucose, fruit and vegetable consumption, and sex.||Cox age-as-time-scale|
|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|
|PSS000025||Incident cases of Type 2 Diabetes in 5.63 years follow-up||6,280 individuals
[ 302 cases, 5,978 controls]
55.00 %% Male samples