| Predicted Trait | |
| Reported Trait | Water intake |
| Mapped Trait(s) | drinking behavior (EFO_0004315) |
| Additional Trait Information | lifestyle and environment |
| 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) |
| 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) | — |
|
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 | — |
|
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 | — |