| Predicted Trait | |
| Reported Trait | Physical activity (self-reported) |
| Mapped Trait(s) | |
| Additional Trait Information | UK Biobank Data-Field 884 |
| Score Construction | |
| PGS Name | PRS_reported |
| Development Method | |
| Name | LDpred |
| Parameters | HapMap3 variants, MAF > 5%, excluding MHC region (GRCh37: 6p22.1–21.3) |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,142,416 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000280 |
| Citation (link to publication) | Kujala UM et al. Med Sci Sports Exerc (2020) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 321,309 individuals (100%) |
| PGS Evaluation | European: 100% 4 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
| — | 321,309 individuals | European | UKB |
|
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|
| PPM012823 | PSS009569| European Ancestry| 11,528 individuals |
PGP000280 | Kujala UM et al. Med Sci Sports Exerc (2020) |
Reported Trait: Daily leisure-time physical activity (MET score) | β: 0.1717 (0.0323) | — | ΔR2 (%): 0.25 | age, sex, and four genetic principal components | — |
| PPM012824 | PSS009571| European Ancestry| 4,061 individuals |
PGP000280 | Kujala UM et al. Med Sci Sports Exerc (2020) |
Reported Trait: Daily leisure-time physical activity (MET score) | β: 0.0355 (0.0113) | — | ΔR2 (%): 0.24 | age, sex, and four genetic principal components | — |
| PPM021392 | PSS011726| European Ancestry| 47,148 individuals |
PGP000653 | Tynkkynen NP et al. Eur J Epidemiol (2023) |Ext. |
Reported Trait: Self-reported leisure time physical activity | β: 0.282 [0.211, 0.354] | — | R²: 0.014 | Age, sex, 10 PCs | — |
| PPM021393 | PSS011726| European Ancestry| 47,148 individuals |
PGP000653 | Tynkkynen NP et al. Eur J Epidemiol (2023) |Ext. |
Reported Trait: Waist circumference | β: -0.003 [-0.004, -0.002] | — | R²: 0.137 | Age, sex, 10 PCs | — |
| PPM021394 | PSS011726| European Ancestry| 47,148 individuals |
PGP000653 | Tynkkynen NP et al. Eur J Epidemiol (2023) |Ext. |
Reported Trait: Body mass index | β: -0.002 [-0.004, -0.001] | — | R²: 0.026 | Age, sex, 10 PCs | — |
| PPM021395 | PSS011726| European Ancestry| 47,148 individuals |
PGP000653 | Tynkkynen NP et al. Eur J Epidemiol (2023) |Ext. |
Reported Trait: HDL cholesterol | β: 0.004 [0.002, 0.006] | — | R²: 0.134 | Age, sex, 10 PCs | — |
| PPM021396 | PSS011725| European Ancestry| 24,960 individuals |
PGP000653 | Tynkkynen NP et al. Eur J Epidemiol (2023) |Ext. |
Reported Trait: Stroke | HR: 0.94 [0.903, 0.978] | — | — | — | — |
| PPM021397 | PSS011725| European Ancestry| 24,960 individuals |
PGP000653 | Tynkkynen NP et al. Eur J Epidemiol (2023) |Ext. |
Reported Trait: Hypertensive diseases | HR: 0.97 [0.951, 0.99] | — | — | — | — |
| PPM021398 | PSS011725| European Ancestry| 24,960 individuals |
PGP000653 | Tynkkynen NP et al. Eur J Epidemiol (2023) |Ext. |
Reported Trait: Type 2 diabetes | HR: 0.935 [0.902, 0.97] | — | — | — | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS011726 | — | — | 47,148 individuals, 45.9 % Male samples |
Mean = 52.9 years Sd = 15.8 years |
European | — | HUNT | — |
| PSS009569 | — | — | 11,528 individuals, 46.0 % Male samples |
Mean = 44.0 years | European (Finnish) |
— | FTC | — |
| PSS011725 | — | — | 24,960 individuals, 46.5 % Male samples |
Mean = 59.1 years Sd = 14.6 years |
European | — | HUNT | — |
| PSS009571 | — | — | 4,061 individuals, 48.0 % Male samples |
Mean = 46.0 years | European (Finnish) |
— | NFBC | — |