PGS Publication: PGP000074

Publication Information (EuropePMC)
Title Evaluating the effect of multiple genetic risk score models on colorectal cancer risk prediction.
PubMed ID 29908285(Europe PMC)
doi 10.1016/j.gene.2018.06.035
Publication Date June 14, 2018
Journal Gene
Author(s) Xin J, Chu H, Ben S, Ge Y, Shao W, Zhao Y, Wei Y, Ma G, Li S, Gu D, Zhang Z, Du M, Wang M.
Released in PGS: April 29, 2020

Associated Polygenic Score(s)

PGS Developed By This Publication

Polygenic Score (PGS) ID PGS Name PGS Publication (PGP) ID Reported Trait Mapped Trait(s) (Ontology) Number of Variants PGS Scoring File (FTP Link)
PGS000151 SC_GRS PGP000074
Xin J et al. Gene (2018)
Colorectal cancer colorectal cancer 14 http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000151/ScoringFiles/PGS000151.txt.gz

PGS 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 ID)
Evaluated Score PGS Sample Set ID
(PSS ID)
Performance Source Trait PGS Effect Sizes
(per SD change)
PGS Classification Metrics Other Metrics Covariates Included in the Model PGS Performance: Other Relevant Information
PPM000470 PGS000151 (SC_GRS) PSS000271 PGP000074
Xin J et al. (2018)
Reported Trait: Colorectal cancer AUROC: 0.6[0.579, 0.622]
PPM000471 PGS000151 (SC_GRS) PSS000271 PGP000074
Xin J et al. (2018)
Reported Trait: Colorectal cancer AUROC: 0.607[0.581, 0.633] smoking status

Evaluated Samples

PGS Sample Set ID
(PSS ID)
Detailed Phenotype Description Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS000271
[
  • 1,316 cases
  • , 2,207 controls
]
,
40.85 % Male samples
Mean (Cases) = 58.34 years
Sd (Cases) = 12.85 years
East Asian
(Han Chinese)
NCRCC