PGS Publication: PGP000754

Publication Information (EuropePMC)
Title Integration of polygenic and gut metagenomic risk prediction for common diseases.
PubMed ID 38528230(Europe PMC)
doi 10.1038/s43587-024-00590-7
Publication Date March 25, 2024
Journal Nat Aging
Author(s) Liu Y, Ritchie SC, Teo SM, Ruuskanen MO, Kambur O, Zhu Q, Sanders J, Vázquez-Baeza Y, Verspoor K, Jousilahti P, Lahti L, Niiranen T, Salomaa V, Havulinna AS, Knight R, Méric G, Inouye M.
Released in PGS Catalog: Aug. 6, 2025

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:
Display options:
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

External PGS Evaluated By This Publication

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)
PGS000018
(metaGRS_CAD)
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
Coronary artery disease coronary artery disease 1,745,179
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000018/ScoringFiles/PGS000018.txt.gz
PGS000662
(GRS.PCa.269)
PGP000122 |
Conti DV et al. Nat Genet (2021)
Prostate cancer prostate carcinoma 269
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000662/ScoringFiles/PGS000662.txt.gz
PGS000036
(gePS_T2D)
PGP000023 |
Mahajan A et al. Nat Genet (2018)
Type 2 diabetes (T2D) type 2 diabetes mellitus 171,249
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000036/ScoringFiles/PGS000036.txt.gz
PGS000334
(GRSfull_22)
PGP000101 |
Zhang Q et al. Nat Commun (2020)
Late-onset Alzheimer’s disease late-onset Alzheimer's disease 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000334/ScoringFiles/PGS000334.txt.gz

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)
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
PPM022979 PGS000018
(metaGRS_CAD)
PSS012083|
European Ancestry|
5,093 individuals
PGP000754 |
Liu Y et al. Nat Aging (2024)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.68 [1.5, 1.88]
β: 0.51613
Baseline age, BMI, systolic BP, total cholesterol, HDL, smoking, exercise, prevelant diabetes, family history, gut microbiome score
PPM022980 PGS000036
(gePS_T2D)
PSS012085|
European Ancestry|
5,297 individuals
PGP000754 |
Liu Y et al. Nat Aging (2024)
|Ext.
Reported Trait: Incident type 2 diabetes HR: 1.41 [1.29, 1.54]
β: 0.34536
Baseline age, BMI, systolic BP, total cholesterol, HDL, smoking, exercise, prevelant diabetes, family history, gut microbiome score
PPM022981 PGS000334
(GRSfull_22)
PSS012082|
European Ancestry|
5,347 individuals
PGP000754 |
Liu Y et al. Nat Aging (2024)
|Ext.
Reported Trait: Incident Alzheimer's disease HR: 1.93 [1.73, 2.15]
β: 0.65554
Baseline age, BMI, systolic BP, total cholesterol, HDL, smoking, exercise, prevelant diabetes, family history, gut microbiome score
PPM022982 PGS000662
(GRS.PCa.269)
PSS012084|
European Ancestry|
2,464 individuals
PGP000754 |
Liu Y et al. Nat Aging (2024)
|Ext.
Reported Trait: Incident prostate cancer HR: 1.72 [1.46, 2.02]
β: 0.53998
Baseline age, BMI, systolic BP, total cholesterol, HDL, smoking, exercise, prevelant diabetes, family history, gut microbiome score

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
PSS012082
[
  • 273 cases
  • , 5,074 controls
]
European
(Finnish)
FINRISK
PSS012083
[
  • 333 cases
  • , 4,760 controls
]
European
(Finnish)
FINRISK
PSS012084
[
  • 141 cases
  • , 2,323 controls
]
European
(Finnish)
FINRISK
PSS012085
[
  • 579 cases
  • , 4,718 controls
]
European
(Finnish)
FINRISK