Polygenic Score (PGS) ID: PGS001155

Predicted Trait
Reported Trait Impedance (left leg)
Mapped Trait(s) body composition measurement (EFO_0005106)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI23108
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_INI23108
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 28,999
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%
265,394 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
265,394 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
PPM008497 PSS005071|
African Ancestry|
6,310 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Impedance of leg (L) : 0.09719 [0.08351, 0.11087]
Incremental R2 (full-covars): 0.01992
PGS R2 (no covariates): 0.0278 [0.01992, 0.03567]
age, sex, UKB array type, Genotype PCs
PPM008498 PSS005072|
East Asian Ancestry|
1,681 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Impedance of leg (L) : 0.31023 [0.27382, 0.34664]
Incremental R2 (full-covars): 0.0341
PGS R2 (no covariates): 0.0409 [0.02252, 0.05928]
age, sex, UKB array type, Genotype PCs
PPM008499 PSS005073|
European Ancestry|
24,474 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Impedance of leg (L) : 0.28199 [0.27252, 0.29146]
Incremental R2 (full-covars): 0.09762
PGS R2 (no covariates): 0.09753 [0.09054, 0.10453]
age, sex, UKB array type, Genotype PCs
PPM008500 PSS005074|
South Asian Ancestry|
7,653 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Impedance of leg (L) : 0.20912 [0.1931, 0.22513]
Incremental R2 (full-covars): 0.07366
PGS R2 (no covariates): 0.07706 [0.06572, 0.0884]
age, sex, UKB array type, Genotype PCs
PPM008501 PSS005075|
European Ancestry|
66,310 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Impedance of leg (L) : 0.284 [0.27824, 0.28976]
Incremental R2 (full-covars): 0.10535
PGS R2 (no covariates): 0.10691 [0.1025, 0.11132]
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
PSS005071 6,310 individuals African unspecified UKB
PSS005072 1,681 individuals East Asian UKB
PSS005073 24,474 individuals European non-white British ancestry UKB
PSS005074 7,653 individuals South Asian UKB
PSS005075 66,310 individuals European white British ancestry UKB Testing cohort (heldout set)