Predicted Trait | |
Reported Trait | Multiple myeloma |
Mapped Trait(s) | multiple myeloma (EFO_0001378) |
Score Construction | |
PGS Name | PRS23_MM |
Development Method | |
Name | Genome-wide significant variants |
Parameters | r2>=0.93 |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 23 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000328 |
Citation (link to publication) | Choi J et al. Int J Cancer (2020) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 249,665 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST006432 Europe PMC: 30213928 |
249,665 individuals | European | NR |
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 |
---|---|---|---|---|---|---|---|---|
PPM013035 | PSS009659| European Ancestry| 290 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Multiple myeloma | — | AUROC: 0.69 [0.64, 0.7] | — | — | — |
PPM013043 | PSS009659| European Ancestry| 290 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Multiple myeloma | — | — | Hazard ratio (HR top 5% vs average): 2.41 [1.56, 3.72] | Age, birth cohort, genotyping array, top 10 PCs for ancestry and sex (for nonsex specific cancer only) | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS009659 | multiple myeloma (ICD-9 = 203 or ICD-10 = C90.0) | — | 290 individuals | — | European | — | UKB | — |