PGS Publication: PGP000422

Publication Information (EuropePMC)
Title A new 165-SNP low-density lipoprotein cholesterol polygenic risk score based on next generation sequencing outperforms previously published scores in routine diagnostics of familial hypercholesterolemia.
PubMed ID 36528340(Europe PMC)
doi 10.1016/j.trsl.2022.12.002
Publication Date Dec. 15, 2022
Journal Transl Res
Author(s) Vanhoye X, Bardel C, Rimbert A, Moulin P, Rollat-Farnier PA, Muntaner M, Marmontel O, Dumont S, Char... rière S, Cornélis F, Ducluzeau PH, Fonteille A, Nobecourt E, Peretti N, Schillo F, Wargny M, Cariou B, Meirhaeghe A, Di Filippo M.Show more
Released in PGS Catalog: Jan. 19, 2023

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
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Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

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Polygenic Score ID & Name
PGS Publication ID (PGP)
Reported Trait
Mapped Trait(s) (Ontology)
Number of Variants
Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS003405
(165SNP_PRS)
PGP000422 |
Vanhoye X et al. Transl Res (2022)
LDL cholesterollow density lipoprotein cholesterol measurement169
G
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003405/ScoringFiles/PGS003405.txt.gz
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External PGS Evaluated By This Publication

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Polygenic Score ID & Name
PGS Publication ID (PGP)
Reported Trait
Mapped Trait(s) (Ontology)
Number of Variants
Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS003403
(PRS28_LDL)
PGP000420 |
Trinder M et al. J Am Coll Cardiol (2019)
LDL cholesterollow density lipoprotein cholesterol measurement28
G
-
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003403/ScoringFiles/PGS003403.txt.gz
PGS003404
(wGRS)
PGP000421 |
Wang J et al. Arterioscler Thromb Vasc Biol (2016)
LDL cholesterollow density lipoprotein cholesterol measurement10
G
-
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003404/ScoringFiles/PGS003404.txt.gz
PGS000814
(GRS12_LDLc)
PGP000200 |
Talmud PJ et al. Lancet (2013)
LDL cholesterollow density lipoprotein cholesterol measurement16
G
-
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000814/ScoringFiles/PGS000814.txt.gz
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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)
Evaluated Score
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
PPM017044PGS003405
(165SNP_PRS)
PSS010104|
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]: 0.1979Age, BMI, sex, age
PPM017045PGS000814
(GRS12_LDLc)
PSS010104|
European Ancestry|
89,528 individuals
PGP000422 |
Vanhoye X et al. Transl Res (2022)
|Ext.
Reported Trait: LDL-c blood concentrationβ: 0.25 [0.25, 0.26]AUROC: 0.6503 [0.644, 0.657]: 0.1055Age, BMI, sex, age
PPM017046PGS003403
(PRS28_LDL)
PSS010104|
European Ancestry|
89,528 individuals
PGP000422 |
Vanhoye X et al. Transl Res (2022)
|Ext.
Reported Trait: LDL-c blood concentrationβ: 0.18 [0.18, 0.18]AUROC: 0.6233 [0.617, 0.63]: 0.1055Age, BMI, sex, age
PPM017047PGS003404
(wGRS)
PSS010104|
European Ancestry|
89,528 individuals
PGP000422 |
Vanhoye X et al. Transl Res (2022)
|Ext.
Reported Trait: LDL-c blood concentrationβ: 0.16 [0.15, 0.16]AUROC: 0.6072 [0.6, 0.614]: 0.09317Age, 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
PSS01010489,528 individualsEuropeanUKB
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