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_DBSLMM_MGI_20211120 |
Development Method | |
Name | DBSLMM |
Parameters | DBSLMM default parameter |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 7,446,664 |
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
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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---|---|---|---|
354,831 individuals | European | UKB |
Study Identifiers
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Sample Numbers
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Sample Ancestry
|
Cohort(s)
|
Phenotype Definitions & Methods
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Age of Study Participants
|
Participant Follow-up Time
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Additional Ancestry Description
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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
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Trait
|
PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
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Covariates Included in the Model
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PGS Performance: Other Relevant Information |
---|---|---|---|---|---|---|---|---|
PPM015638 | PSS009997| European Ancestry| 23,382 individuals | PGP000393 | Ma Y et al. Am J Hum Genet (2022) | Reported Trait: BMI | β: 1.89 (0.0453) | — | R²: 0.0679 | 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)
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Additional Sample/Cohort Information
|
---|---|---|---|---|---|---|---|---|
PSS009997 | body mass (kg) divided by the square of the body height (m); Quantitative | — | 23,382 individuals | — | European | — | MGI | — |