Polygenic Score (PGS) ID: PGS003405

Predicted Trait
Reported Trait LDL cholesterol
Mapped Trait(s) low density lipoprotein cholesterol measurement (EFO_0004611)
Released in PGS Catalog: Jan. 19, 2023
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Terms and Licenses
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 165SNP_PRS
Development Method
Name Genome-wide significant SNPs
Parameters LD: --clump-r2 0.1 & --clump-kb 250
Variants
Original Genome Build GRCh38
Number of Variants 169
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000422
Citation (link to publication) Vanhoye X et al. Transl Res (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
427,099 individuals (100%)
Score Development/Training
European: 100%
1,082 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
GWAS Catalog: GCST000759
Europe PMC: 20686565
95,454 individualsEuropean23 cohorts
  • AGES
  • ,ARIC
  • ,B58C
  • ,BLSA
  • ,BRIGHT
  • ,CHS
  • ,CoLaus
  • ,DGI
  • ,EPIC-Norfolk
  • ,FHS
  • ,FINRISK
  • ,FUSION
  • ,Fenland
  • ,GENMETS
  • ,GenomEUtwin
  • ,InCHIANTI
  • ,KORA
  • ,LOLIPOP
  • ,MedSTAR
  • ,NFBC
  • ,PennCATH
  • ,RS
  • ,SUVIMAX
GWAS Catalog: GCST002222
Europe PMC: 24097068
94,595 individualsEuropeanNR
GWAS Catalog: GCST009148
Europe PMC: 29083408
237,050 individualsEuropeanNR
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Score Development/Training
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
Phenotype Definitions & Methods
Age of Study Participants
Participant Follow-up Time
Additional Ancestry Description
Additional Sample/Cohort Information
—1,082 individuals,
46.7 % Male samples
EuropeanMONA-LISA—Mean = 53.8 years———
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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.

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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
PPM017044PSS010104|
European Ancestry|
89,528 individuals
PGP000422 |
Vanhoye X et al. Transl Res (2022)
Reported Trait: LDL-c blood concentrationβ: 0.31 [0.3, 0.31]AUROC: 0.6901 [0.684, 0.696]R²: 0.1979Age, BMI, sex, age—
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Evaluated Samples

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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
PSS010104——89,528 individuals—European—UKB—
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