| Predicted Trait | |
| Reported Trait | Irregular menstrual cycle/bleeding |
| Mapped Trait(s) | menstrual cycle attribute (OBA_2045215) |
| Additional Trait Information | genitourinary |
| Score Construction | |
| PGS Name | portability-ldpred2_626.1 |
| Development Method | |
| Name | LDpred2 (bigsnpr) |
| Parameters | LDpred2-auto using HapMap3 variants |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 719,789 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| PPM011493 | PSS009343| European Ancestry| 10,063 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Irregular menstrual cycle/bleeding | — | — | Partial Correlation (partial-r): 0.0369 [0.0173, 0.0564] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011495 | PSS008671| European Ancestry| 3,394 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Irregular menstrual cycle/bleeding | — | — | Partial Correlation (partial-r): 0.0311 [-0.0027, 0.0647] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011496 | PSS008445| Greater Middle Eastern Ancestry| 441 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Irregular menstrual cycle/bleeding | — | — | Partial Correlation (partial-r): 0.0755 [-0.0201, 0.1697] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011497 | PSS008225| South Asian Ancestry| 2,690 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Irregular menstrual cycle/bleeding | — | — | Partial Correlation (partial-r): 0.0716 [0.0337, 0.1092] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011498 | PSS008006| East Asian Ancestry| 1,113 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Irregular menstrual cycle/bleeding | — | — | Partial Correlation (partial-r): -0.0068 [-0.066, 0.0525] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011499 | PSS007790| African Ancestry| 1,471 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Irregular menstrual cycle/bleeding | — | — | Partial Correlation (partial-r): -0.0312 [-0.0825, 0.0202] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011500 | PSS008894| African Ancestry| 1,972 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Irregular menstrual cycle/bleeding | — | — | Partial Correlation (partial-r): 0.0036 [-0.0408, 0.0479] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011494 | PSS009117| European Ancestry| 2,376 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Irregular menstrual cycle/bleeding | — | — | Partial Correlation (partial-r): 0.0467 [0.0064, 0.0869] | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS008006 | — | — | 1,113 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007790 | — | — | 1,471 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009343 | — | — | 10,063 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008445 | — | — | 441 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008894 | — | — | 1,972 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008671 | — | — | 3,394 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS009117 | — | — | 2,376 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008225 | — | — | 2,690 individuals | — | South Asian | India (South Asia) | UKB | — |