Predicted Trait | |
Reported Trait | Water intake |
Mapped Trait(s) | drinking behavior (EFO_0004315) |
Additional Trait Information | lifestyle and environment |
Score Construction | |
PGS Name | portability-PLR_water_intake |
Development Method | |
Name | Penalized regression (bigstatsr) |
Parameters | HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 43,709 |
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 |
---|---|---|---|---|---|---|---|---|
PPM010962 | PSS009496| European Ancestry| 19,824 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Water intake | — | — | Partial Correlation (partial-r): 0.1332 [0.1195, 0.1468] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010963 | PSS009270| European Ancestry| 4,075 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Water intake | — | — | Partial Correlation (partial-r): 0.1224 [0.0919, 0.1526] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010964 | PSS008824| European Ancestry| 6,552 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Water intake | — | — | Partial Correlation (partial-r): 0.1169 [0.0929, 0.1408] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010965 | 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): 0.1031 [0.0449, 0.1606] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010966 | 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): 0.0895 [0.0646, 0.1142] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010967 | 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): 0.0666 [0.0197, 0.1133] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010968 | PSS007940| African Ancestry| 2,404 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Water intake | — | — | Partial Correlation (partial-r): 0.0815 [0.0415, 0.1212] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010969 | PSS009044| African Ancestry| 3,722 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Water intake | — | — | Partial Correlation (partial-r): 0.0064 [-0.0258, 0.0386] | 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 | — |
PSS008376 | — | — | 6,162 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS009496 | — | — | 19,824 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008152 | — | — | 1,760 individuals | — | East Asian | China (East Asia) | UKB | — |