Polygenic Score (PGS) ID: PGS001226

Predicted Trait
Reported Trait Birth weight
Mapped Trait(s) birth weight (EFO_0004344)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI20022
Released in PGS Catalog: Oct. 21, 2021
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Terms and Licenses
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_INI20022
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 6,278
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%
156,295 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
— 156,295 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
PPM008644 PSS004896|
African Ancestry|
1,708 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Birth weight — — R²: 0.04004 [0.0307, 0.04937]
Incremental R2 (full-covars): 0.00368
PGS R2 (no covariates): 0.00672 [0.00276, 0.01067]		 age, sex, UKB array type, Genotype PCs —
PPM008645 PSS004897|
East Asian Ancestry|
609 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Birth weight — — R²: 0.04464 [0.02551, 0.06377]
Incremental R2 (full-covars): 0.01768
PGS R2 (no covariates): 0.02148 [0.00789, 0.03508]		 age, sex, UKB array type, Genotype PCs —
PPM008646 PSS004898|
European Ancestry|
12,908 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Birth weight — — R²: 0.06034 [0.05461, 0.06608]
Incremental R2 (full-covars): 0.02543
PGS R2 (no covariates): 0.02732 [0.02333, 0.03131]		 age, sex, UKB array type, Genotype PCs —
PPM008647 PSS004899|
South Asian Ancestry|
1,908 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Birth weight — — R²: 0.04888 [0.03957, 0.05819]
Incremental R2 (full-covars): 0.00482
PGS R2 (no covariates): 0.00796 [0.00404, 0.01188]		 age, sex, UKB array type, Genotype PCs —
PPM008648 PSS004900|
European Ancestry|
39,107 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Birth weight — — R²: 0.05162 [0.04837, 0.05488]
Incremental R2 (full-covars): 0.02688
PGS R2 (no covariates): 0.02741 [0.02498, 0.02984]		 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
PSS004896 — — 1,708 individuals — African unspecified — UKB —
PSS004897 — — 609 individuals — East Asian — UKB —
PSS004898 — — 12,908 individuals — European non-white British ancestry UKB —
PSS004899 — — 1,908 individuals — South Asian — UKB —
PSS004900 — — 39,107 individuals — European white British ancestry UKB Testing cohort (heldout set)