PGS Publication: PGP000414

Publication Information (EuropePMC)
Title Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations.
PubMed ID 36694225(Europe PMC)
doi 10.1186/s13073-023-01156-9
Publication Date Jan. 24, 2023
Journal Genome Med
Author(s) Xin J, Du M, Gu D, Jiang K, Wang M, Jin M, Hu Y, Ben S, Chen S, Shao W, Li S, Chu H, Zhu L, Li C, Chen K, Ding K, Zhang Z, Shen H, Wang M.
Released in PGS Catalog: Feb. 8, 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:
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)
PGS003395
(PRScsx_CRC)
 PGP000414 |
Xin J et al. Genome Med (2023)
 Colorectal cancer colorectal cancer 1,145,689
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003395/ScoringFiles/PGS003395.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
PPM016277 PGS003395
(PRScsx_CRC)
 PSS010093|
East Asian Ancestry|
2,179 individuals
 PGP000414 |
Xin J et al. Genome Med (2023)
 Reported Trait: Incident colorectal cancer OR: 1.73 [1.56, 1.91] AUROC: 0.646 — sex, age and principal components —
PPM016278 PGS003395
(PRScsx_CRC)
 PSS010092|
European Ancestry|
2,573 individuals
 PGP000414 |
Xin J et al. Genome Med (2023)
 Reported Trait: Incident colorectal cancer OR: 1.48 [1.36, 1.62] AUROC: 0.608 — sex, age and principal components —
PPM016279 PGS003395
(PRScsx_CRC)
 PSS010094|
European Ancestry|
355,543 individuals
 PGP000414 |
Xin J et al. Genome Med (2023)
 Reported Trait: Incident colorectal cancer HR: 1.42 [1.37, 1.48] AUROC: 0.597 — sex, age, center and principal components —

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
PSS010092 — —
[
  • 1,289 cases
  • , 1,284 controls
]
 — European — CORSA —
PSS010093 — —
[
  • 727 cases
  • , 1,452 controls
]
 — East Asian
(Chinese)		 — NR JSCRC
PSS010094 — — 355,543 individuals — European — UKB —