Polygenic Score (PGS) ID: PGS002230

Predicted Trait
Reported Trait Water intake
Mapped Trait(s) drinking behavior (EFO_0004315)
Additional Trait Information lifestyle and environment
Released in PGS Catalog: Jan. 10, 2022
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Score Details

Score Construction
PGS Name portability-ldpred2_water_intake
Development Method
Name LDpred2 (bigsnpr)
Parameters LDpred2-auto using HapMap3 variants
Variants
Original Genome Build GRCh37
Number of Variants 930,461
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000263
Citation (link to publication) Privé F et al. Am J Hum Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
391,124 individuals (100%)
PGS Evaluation
European: 37.5%
African: 25%
East Asian: 12.5%
Greater Middle Eastern: 12.5%
South Asian: 12.5%
8 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
391,124 individuals European UKB UK (+ Ireland)

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
PPM012686 PSS009496|
European Ancestry|
19,824 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Water intake Partial Correlation (partial-r): 0.1467 [0.1331, 0.1603] sex, age, birth date, deprivation index, 16 PCs
PPM012687 PSS009270|
European Ancestry|
4,075 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Water intake Partial Correlation (partial-r): 0.1526 [0.1224, 0.1826] sex, age, birth date, deprivation index, 16 PCs
PPM012688 PSS008824|
European Ancestry|
6,552 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Water intake Partial Correlation (partial-r): 0.1345 [0.1106, 0.1582] sex, age, birth date, deprivation index, 16 PCs
PPM012689 PSS008598|
Greater Middle Eastern Ancestry|
1,144 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Water intake Partial Correlation (partial-r): 0.1275 [0.0695, 0.1846] sex, age, birth date, deprivation index, 16 PCs
PPM012691 PSS008152|
East Asian Ancestry|
1,760 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Water intake Partial Correlation (partial-r): 0.0914 [0.0446, 0.1378] sex, age, birth date, deprivation index, 16 PCs
PPM012692 PSS007940|
African Ancestry|
2,404 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Water intake Partial Correlation (partial-r): 0.084 [0.044, 0.1238] sex, age, birth date, deprivation index, 16 PCs
PPM012693 PSS009044|
African Ancestry|
3,722 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Water intake Partial Correlation (partial-r): 0.0198 [-0.0124, 0.052] sex, age, birth date, deprivation index, 16 PCs
PPM012690 PSS008376|
South Asian Ancestry|
6,162 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Water intake Partial Correlation (partial-r): 0.1104 [0.0856, 0.135] sex, age, birth date, deprivation index, 16 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
PSS007940 2,404 individuals African American or Afro-Caribbean Carribean UKB
PSS009044 3,722 individuals African unspecified Nigeria (West Africa) UKB
PSS008598 1,144 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009270 4,075 individuals European Poland (NE Europe) UKB
PSS008824 6,552 individuals European Italy (South Europe) UKB
PSS009496 19,824 individuals European UK (+ Ireland) UKB
PSS008152 1,760 individuals East Asian China (East Asia) UKB
PSS008376 6,162 individuals South Asian India (South Asia) UKB