| Predicted Trait | |
| Reported Trait | Pelvic organ prolapse | 
| Mapped Trait(s) | pelvic organ prolapse (EFO_0004710) | 
| Additional Trait Information | Female gynecologycal condition | 
| Score Construction | |
| PGS Name | PRS_POP | 
| Development Method | |
| Name | LDpred | 
| Parameters | LD-clumping (r2 threshold = 0.99; varying the fraction of causal SNPs = [Inf, 1, 0.3, 0.1, 0.03, 0.01, 0.003, 0.001, 0.0003, 0.0001] | 
| Variants | |
| Original Genome Build | GRCh37 | 
| Number of Variants | 3,242,959 | 
| Effect Weight Type | beta | 
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000314 | 
| Citation (link to publication) | Pujol-Gualdo N et al. Nat Commun (2022) | 
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 447,544 individuals (100%) | 
| PGS Evaluation | European: 100% 1 Sample Sets | 
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | 
|---|---|---|---|
| GWAS Catalog: GCST90102470 | [, 
 0.0 % Male samples | European (Icelandic, British, Finnish) | FinnGen, UKB, deCODE | 
| 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 | 
|---|---|---|---|---|---|---|---|---|
| PPM012986 | PSS009640| European Ancestry| 98,656 individuals | PGP000314 | Pujol-Gualdo N et al. Nat Commun (2022) | Reported Trait: Incident pelvic organ prolapse cases | HR: 1.31 [1.25, 1.37] | C-index: 0.592 | — | 10 PCs, and seven batche indicators | — | 
| 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 | 
|---|---|---|---|---|---|---|---|---|
| PSS009640 | — | — | [, 
 0.0 % Male samples | — | European | — | EB | — |