Predicted Trait | |
Reported Trait | Body mass index (BMI) |
Mapped Trait(s) | body mass index (EFO_0004340) |
Additional Trait Information | Body mass index; Quantitative |
Score Construction | |
PGS Name | ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120 |
Development Method | |
Name | PRS-CS |
Parameters | PRS-CS (auto)auto |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,113,832 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000393 |
Citation (link to publication) | Ma Y et al. Am J Hum Genet (2022) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
354,831 individuals | European | UKB |
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 |
---|---|---|---|---|---|---|---|---|
— | 23,381 individuals | European | MGI | body mass (kg) divided by the square of the body height (m); Quantitative | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM015641 | PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.35 (0.045) | — | R²: 0.101 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS009997 | body mass (kg) divided by the square of the body height (m); Quantitative | — | 23,382 individuals | — | European | — | MGI | — |