Polygenic Score (PGS) ID: PGS001152

Predicted Trait
Reported Trait Red blood cell distribution width
Mapped Trait(s) Red cell distribution width (EFO_0009188)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30070
Released in PGS Catalog: Oct. 21, 2021
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Score Details

Score Construction
PGS Name GBE_INI30070
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 10,179
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%
262,324 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
262,324 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
PPM008482 PSS006941|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Red blood cell distribution width : 0.02633 [0.01865, 0.03401]
Incremental R2 (full-covars): 0.00466
PGS R2 (no covariates): 0.00617 [0.00238, 0.00997]
age, sex, UKB array type, Genotype PCs
PPM008483 PSS006942|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Red blood cell distribution width : 0.06947 [0.04623, 0.09271]
Incremental R2 (full-covars): 0.04028
PGS R2 (no covariates): 0.04714 [0.02754, 0.06675]
age, sex, UKB array type, Genotype PCs
PPM008484 PSS006943|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Red blood cell distribution width : 0.08241 [0.07587, 0.08895]
Incremental R2 (full-covars): 0.07409
PGS R2 (no covariates): 0.0754 [0.06909, 0.0817]
age, sex, UKB array type, Genotype PCs
PPM008485 PSS006944|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Red blood cell distribution width : 0.06357 [0.05312, 0.07403]
Incremental R2 (full-covars): 0.04077
PGS R2 (no covariates): 0.04137 [0.03274, 0.05]
age, sex, UKB array type, Genotype PCs
PPM008486 PSS006945|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Red blood cell distribution width : 0.0852 [0.08117, 0.08923]
Incremental R2 (full-covars): 0.07926
PGS R2 (no covariates): 0.07945 [0.07553, 0.08337]
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
PSS006941 6,139 individuals African unspecified UKB
PSS006942 1,655 individuals East Asian UKB
PSS006943 24,175 individuals European non-white British ancestry UKB
PSS006944 7,520 individuals South Asian UKB
PSS006945 65,638 individuals European white British ancestry UKB Testing cohort (heldout set)