Polygenic Score (PGS) ID: PGS001012

Predicted Trait
Reported Trait Number of falls in the last year
Mapped Trait(s) fall (EFO_0009631)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/QT_FC1002296
Released in PGS Catalog: Oct. 21, 2021
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PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name GBE_QT_FC1002296
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 2,103
Effect Weight Type NR
PGS Source
PGS Catalog Publication (PGP) ID PGP000244
Citation (link to publication) Tanigawa Y et al. PLoS Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
269,274 individuals (100%)
PGS Evaluation
European: 40%
African: 20%
East Asian: 20%
South Asian: 20%
5 Sample Sets

Development Samples

Score Development/Training
Study Identifiers Sample Numbers Sample Ancestry Cohort(s) Phenotype Definitions & Methods Age of Study Participants Participant Follow-up Time Additional Ancestry Description Additional Sample/Cohort Information
269,274 individuals European UKB white British ancestry

Performance Metrics

Disclaimer: 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 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
PPM007823 PSS007596|
African Ancestry|
6,336 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Falls in the last year Incremental R2 (full-covars): -0.00094
: 0.01681 [0.01062, 0.02301]
PGS R2 (no covariates): 3e-05 [-0.00022, 0.00027]
age, sex, UKB array type, Genotype PCs
PPM007824 PSS007597|
East Asian Ancestry|
1,629 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Falls in the last year : 0.0157 [0.00401, 0.02739]
Incremental R2 (full-covars): -0.00264
PGS R2 (no covariates): 0.00011 [-0.00088, 0.00109]
age, sex, UKB array type, Genotype PCs
PPM007825 PSS007598|
European Ancestry|
24,790 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Falls in the last year : 0.0119 [0.00923, 0.01458]
Incremental R2 (full-covars): 0.00165
PGS R2 (no covariates): 0.00166 [0.00065, 0.00267]
age, sex, UKB array type, Genotype PCs
PPM007826 PSS007599|
South Asian Ancestry|
7,443 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Falls in the last year : 0.01243 [0.00756, 0.01731]
Incremental R2 (full-covars): -0.00079
PGS R2 (no covariates): 0.00021 [-0.00043, 0.00084]
age, sex, UKB array type, Genotype PCs
PPM007827 PSS007600|
European Ancestry|
67,306 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Falls in the last year : 0.01122 [0.00964, 0.0128]
Incremental R2 (full-covars): 0.00106
PGS R2 (no covariates): 0.00126 [0.00073, 0.0018]
age, sex, UKB array type, Genotype PCs

Evaluated Samples

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
PSS007596 6,336 individuals African unspecified UKB
PSS007597 1,629 individuals East Asian UKB
PSS007598 24,790 individuals European non-white British ancestry UKB
PSS007599 7,443 individuals South Asian UKB
PSS007600 67,306 individuals European white British ancestry UKB Testing cohort (heldout set)