PGS Catalog - PGS002738 / Alcohol use disorder (Polygenic Score)

Polygenic Score (PGS) ID: PGS002738

Predicted Trait
Reported Trait	Alcohol use disorder
Mapped Trait(s)	alcohol dependence (MONDO_0007079)

Released in PGS Catalog: Aug. 3, 2022

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PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name	PRS_AUD
Development Method
Name	PRS-CS
Parameters	NR
Variants
Original Genome Build	GRCh37
Number of Variants	326,000
Effect Weight Type	beta

PGS Source
PGS Catalog Publication (PGP) ID	PGP000345
Citation (link to publication)	Lai D et al. Alcohol Clin Exp Res (2022)

Ancestry Distribution
Source of Variant Associations (GWAS)	European: 81.7% African: 14.3% Hispanic or Latin American: 3.6% East Asian: 0.3% South Asian: 0.05% 395,995 individuals (100%)
PGS Evaluation	European: 100% 4 Sample Sets

Development Samples

Source of Variant Associations (GWAS)

Study Identifiers	Sample Numbers	Sample Ancestry	Cohort(s)
GWAS Catalog: GCST008259 Europe PMC: 30940813	202,004 individuals	European	MVP
GWAS Catalog: GCST008259 Europe PMC: 30940813	56,648 individuals	African American or Afro-Caribbean	MVP
GWAS Catalog: GCST008259 Europe PMC: 30940813	14,175 individuals	Hispanic or Latin American	MVP
GWAS Catalog: GCST008259 Europe PMC: 30940813	1,374 individuals	East Asian	MVP
GWAS Catalog: GCST008259 Europe PMC: 30940813	190 individuals	South Asian	MVP
GWAS Catalog: GCST006717 Europe PMC: 30336701	121,604 individuals	European	UKB

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM014841	PSS009911\| European Ancestry\| 7,900 individuals	PGP000345 \| Lai D et al. Alcohol Clin Exp Res (2022)	Reported Trait: Alcohol use disorder	β: 3.17 (1.87)	—	Odds Ratio (OR top 10% vs rest): 1.96 [1.54, 2.51]	—	—
PPM014839	PSS009910\| European Ancestry\| 2,722 individuals	PGP000345 \| Lai D et al. Alcohol Clin Exp Res (2022)	Reported Trait: Alcohol use disorder (AUD) in individuals with unknown family history of AUD	β: 2.91 (0.38)	—	Odds Ratio (OR top 10% vs rest): 1.5 [0.98, 2.29]	—	—
PPM014838	PSS009909\| European Ancestry\| 4,842 individuals	PGP000345 \| Lai D et al. Alcohol Clin Exp Res (2022)	Reported Trait: Alcohol use disorder (AUD) in individuals with family history of AUD	β: 2.43 (0.6)	—	Odds Ratio (OR top 10% vs rest): 1.86 [1.35, 2.56]	—	—
PPM014840	PSS009908\| European Ancestry\| 336 individuals	PGP000345 \| Lai D et al. Alcohol Clin Exp Res (2022)	Reported Trait: Alcohol use disorder (AUD) in individuals without family history of AUD	β: 2.64 (0.47)	—	Odds Ratio (OR top 10% vs rest): 0.45 [0.12, 1.69]	—	—

Evaluated Samples

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
PSS009909	—	—	4,842 individuals [ 2,531 cases , 669 controls ]	—	European	—	COGA	—
PSS009910	—	—	2,722 individuals [ 850 cases , 840 controls ]	—	European	—	COGA	—
PSS009911	—	—	7,900 individuals [ 3,451 cases , 1,616 controls ] , 48.0 % Male samples	—	European	—	COGA	—
PSS009908	—	—	336 individuals [ 72 cases , 107 controls ]	—	European	—	COGA	—