Predicted Trait | |
Reported Trait | Type 2 diabetes (T2D) |
Mapped Trait(s) | type 2 diabetes mellitus (MONDO_0005148) |
Additional Trait Information | Diabetes diagnosed by doctor; Binary |
Score Construction | |
PGS Name | ExPRSweb_T2D_2443_PRSCS_MGI_20211120 |
Development Method | |
Name | PRS-CS |
Parameters | PRS-CS (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
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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[
| European | UKB |
Study Identifiers
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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Phenotype Definitions & Methods
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Age of Study Participants
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Participant Follow-up Time
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Additional Ancestry Description
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Additional Sample/Cohort Information
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— | [
| European | MGI | PheCode 250.2 (http://phewascatalog.org/); Binary | — | — | — | — |
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source
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Trait
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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 |
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PPM015995 | PSS010014| European Ancestry| 21,356 individuals | PGP000393 | Ma Y et al. Am J Hum Genet (2022) | Reported Trait: Type 2 Diabetes | OR: 1.6 [1.539, 1.664] β: 0.47 (0.0199) | AUROC: 0.625 [0.608, 0.639] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods
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Participant Follow-up Time
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Sample Numbers
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Age of Study Participants
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Sample Ancestry
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Additional Ancestry Description
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Cohort(s)
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Additional Sample/Cohort Information
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PSS010014 | PheCode 250.2 (http://phewascatalog.org/); Binary | — | [
| — | European | — | MGI | — |