Predicted Trait | |
Reported Trait | Alcohol consumption |
Mapped Trait(s) | alcohol consumption quality (OBA_1000840) |
Additional Trait Information | Amount of alcohol drunk on a typical drinking day; Quantitative |
Score Construction | |
PGS Name | ExPRSweb_Alcohol_20403_LASSOSUM_MGI_20211120 |
Development Method | |
Name | lassosum |
Parameters | Lassosum 0.4.4 (MAF >= 1%; autosomal variants only)s=0.9;Lambda=0.01438 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 375,749 |
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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108,256 individuals | 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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— | 13,332 individuals | European | MGI | Alcohol Oz Per Week; Quantitative | — | — | — | — |
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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PPM015614 | PSS009996| European Ancestry| 13,334 individuals | PGP000393 | Ma Y et al. Am J Hum Genet (2022) | Reported Trait: Alcohol consumption | β: 0.0419 (0.0148) | — | R²: 0.00065 | 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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PSS009996 | Alcohol Oz Per Week; Quantitative | — | 13,334 individuals | — | European | — | MGI | — |