Predicted Trait | |
Reported Trait | Pulse rate, automated reading |
Mapped Trait(s) | heart rate (EFO_0004326) |
Additional Trait Information | physical measures |
Score Construction | |
PGS Name | portability-ldpred2_log_pulse_rate |
Development Method | |
Name | LDpred2 (bigsnpr) |
Parameters | LDpred2-auto using HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 858,487 |
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 |
---|---|---|---|---|---|---|---|---|
PPM012391 | PSS009464| European Ancestry| 18,718 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.271 [0.2576, 0.2842] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012393 | PSS008792| European Ancestry| 6,338 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2684 [0.2453, 0.2911] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012394 | PSS008566| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2709 [0.216, 0.3241] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012395 | PSS008344| South Asian Ancestry| 6,098 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2393 [0.2155, 0.2629] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012396 | PSS008121| East Asian Ancestry| 1,719 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.2011 [0.1551, 0.2463] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012397 | PSS007908| African Ancestry| 2,438 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.1463 [0.1071, 0.1851] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012398 | PSS009012| African Ancestry| 3,850 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.1406 [0.1094, 0.1715] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM012392 | PSS009238| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Pulse rate, automated reading | — | — | Partial Correlation (partial-r): 0.243 [0.2132, 0.2722] | 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 |
---|---|---|---|---|---|---|---|---|
PSS007908 | — | — | 2,438 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS009012 | — | — | 3,850 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS008566 | — | — | 1,151 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009238 | — | — | 3,930 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008792 | — | — | 6,338 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008344 | — | — | 6,098 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS009464 | — | — | 18,718 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008121 | — | — | 1,719 individuals | — | East Asian | China (East Asia) | UKB | — |