PGS Publication: PGP000643

Publication Information (EuropePMC)
Title Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies.
PubMed ID 38872215(Europe PMC)
doi 10.1186/s13073-024-01355-y
Publication Date June 13, 2024
Journal Genome Med
Author(s) Tian J, Zhang M, Zhang F, Gao K, Lu Z, Cai Y, Chen C, Ning C, Li Y, Qian S, Bai H, Liu Y, Zhang H, Chen S, Li X, Wei Y, Li B, Zhu Y, Yang J, Jin M, Miao X, Chen K.
Released in PGS Catalog: June 27, 2024

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

PGS Developed 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)
PGS004912
(PRS183)
 PGP000643 |
Tian J et al. Genome Med (2024)
 Colorectal neoplasm colorectal carcinoma 183
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004912/ScoringFiles/PGS004912.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
PPM021368 PGS004912
(PRS183)
 PSS011706|
East Asian Ancestry|
2,344 individuals
 PGP000643 |
Tian J et al. Genome Med (2024)
 Reported Trait: Colorectal advanced neoplasm OR: 1.61 [1.33, 1.94] AUROC: 0.591 — age, sex, family history, principal components, genotype platform —
PPM021369 PGS004912
(PRS183)
 PSS011706|
East Asian Ancestry|
2,344 individuals
 PGP000643 |
Tian J et al. Genome Med (2024)
 Reported Trait: Colorectal non-advanced adenoma OR: 1.25 [1.14, 1.38] AUROC: 0.556 — age, sex, family history, principal components, genotype platform —
PPM021370 PGS004912
(PRS183)
 PSS011705|
European Ancestry|
24,322 individuals
 PGP000643 |
Tian J et al. Genome Med (2024)
 Reported Trait: Colorectal advanced neoplasm OR: 1.34 [1.28, 1.4] AUROC: 0.582 — age, sex, family history, principal components, genotype platform —
PPM021371 PGS004912
(PRS183)
 PSS011705|
European Ancestry|
24,322 individuals
 PGP000643 |
Tian J et al. Genome Med (2024)
 Reported Trait: Colorectal non-advanced adenoma OR: 1.19 [1.15, 1.23] AUROC: 0.546 — age, sex, family history, principal components, genotype platform —

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
PSS011705 — —
[
  • 6,609 cases
  • , 17,713 controls
]
,
55.6 % Male samples
 Mean = 62.07 years
Sd = 5.21 years		 European — PLCO —
PSS011706 — —
[
  • 672 cases
  • , 1,672 controls
]
,
46.72 % Male samples
 Mean = 57.59 years
Sd = 8.47 years		 East Asian
(Chinese)		 — ZJCRC —