Polygenic Score (PGS) ID: PGS001069

Predicted Trait
Reported Trait Water intake
Mapped Trait(s) diet measurement (EFO_0008111)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1528
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_INI1528
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 4,994
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%
251,116 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
— 251,116 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
PPM008106 PSS004864|
South Asian Ancestry|
7,550 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Water intake — — R²: 0.01463 [0.00935, 0.01991]
Incremental R2 (full-covars): 0.0043
PGS R2 (no covariates): 0.00415 [0.00131, 0.00699]		 age, sex, UKB array type, Genotype PCs —
PPM008107 PSS004865|
European Ancestry|
62,737 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Water intake — — R²: 0.038 [0.03517, 0.04084]
Incremental R2 (full-covars): 0.0082
PGS R2 (no covariates): 0.0083 [0.00694, 0.00966]		 age, sex, UKB array type, Genotype PCs —
PPM008103 PSS004861|
African Ancestry|
6,061 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Water intake — — R²: 0.02463 [0.01719, 0.03207]
Incremental R2 (full-covars): 0.00076
PGS R2 (no covariates): 0.00216 [-0.00009, 0.00442]		 age, sex, UKB array type, Genotype PCs —
PPM008104 PSS004862|
East Asian Ancestry|
1,590 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Water intake — — R²: 0.03011 [0.01416, 0.04605]
Incremental R2 (full-covars): 0.0
PGS R2 (no covariates): 0.00076 [-0.00185, 0.00338]		 age, sex, UKB array type, Genotype PCs —
PPM008105 PSS004863|
European Ancestry|
23,579 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Water intake — — R²: 0.05496 [0.04946, 0.06046]
Incremental R2 (full-covars): 0.00553
PGS R2 (no covariates): 0.00756 [0.00542, 0.00971]		 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
PSS004861 — — 6,061 individuals — African unspecified — UKB —
PSS004862 — — 1,590 individuals — East Asian — UKB —
PSS004863 — — 23,579 individuals — European non-white British ancestry UKB —
PSS004864 — — 7,550 individuals — South Asian — UKB —
PSS004865 — — 62,737 individuals — European white British ancestry UKB Testing cohort (heldout set)