Predicted Trait | |
Reported Trait | Thyroid cancer |
Mapped Trait(s) | thyroid carcinoma (EFO_0002892) |
Additional Trait Information | PheCode 193 |
Score Construction | |
PGS Name | PRSWEB_PHECODE193_C73_PT_MGI_20200608 |
Development Method | |
Name | Pruning and Thresholding (P+T) |
Parameters | LD Clumping (MAF >= 1%, r^2 <= 0.1) & P<=1.26e-06 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 8 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000118 |
Citation (link to publication) | Fritsche LG et al. Am J Hum Genet (2020) |
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 | NR |
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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Europe PMC: 32991828 | [
| European | MGI | PheCode:193; ICD9CM:193, V10.87; ICD10CM:C73 | — | — | — | — |
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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PPM001314 | PSS000558| European Ancestry| 4,270 individuals | PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) | Reported Trait: Thyroid cancer | β: 0.114 (0.0517) OR: 1.121 [1.013, 1.24] | AUROC: 0.52 [0.488, 0.55] | Nagelkerke's Pseudo-R²: 0.00247 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 2.15 [1.01, 4.59] | age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C73_PT_MGI_20200608 |
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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PSS000558 | PheCode:193; ICD9CM:193, V10.87; ICD10CM:C73 | — | [
| — | European | — | MGI | — |