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 | — |