Predicted Trait | |
Reported Trait | Colorectal cancer |
Mapped Trait(s) | colorectal cancer (MONDO_0005575) |
Score Construction | |
PGS Name | PRS115_EUR_EAS |
Development Method | |
Name | Genome-wide significant SNPs |
Parameters | r2<0.1, MAF>1% |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 115 |
Effect Weight Type | log(OR) |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000354 |
Citation (link to publication) | Ping J et al. Int J Cancer (2022) |
Study Identifiers
|
Sample Numbers
|
Sample Ancestry
|
Cohort(s)
|
---|---|---|---|
Europe PMC: 27005424 | [
| European | NR |
GWAS Catalog: GCST000168 Europe PMC: 18372901 | 1,983 individuals | European (U.K.) | NR |
GWAS Catalog: GCST000270 Europe PMC: 19011631 | 3,831 individuals | European | COGS, CoRGI |
GWAS Catalog: GCST000843 Europe PMC: 20972440 | 7,962 individuals | European | 11 cohorts
|
GWAS Catalog: GCST000843 Europe PMC: 20972440 | 30,420 individuals | European | 11 cohorts
|
GWAS Catalog: GCST001544 Europe PMC: 22634755 | 17,780 individuals | European | COGS, CoRGI, NSCCG, SOCCS, VICTOR |
GWAS Catalog: GCST002411 Europe PMC: 24737748 | 13,443 individuals | European | NR |
GWAS Catalog: GCST002454 Europe PMC: 24836286 | 8,270 individuals | East Asian | Aichi_Con, Guangzhou, KCPS, Shanghai |
GWAS Catalog: GCST002528 Europe PMC: 25023989 | 983 individuals | Other | CCFR, MECC |
GWAS Catalog: GCST002528 Europe PMC: 25023989 | 2,976 individuals | European | CCFR, MECC |
GWAS Catalog: GCST002561 Europe PMC: 25105248 | 6,596 individuals | African American or Afro-Caribbean | 11 cohorts
|
GWAS Catalog: GCST002561 Europe PMC: 25105248 | 6,424 individuals | East Asian | 11 cohorts
|
GWAS Catalog: GCST003494 Europe PMC: 27145994 | 2,329 individuals | East Asian | NJ_Study |
GWAS Catalog: GCST003799 Europe PMC: 26965516 | 21,096 individuals | East Asian | BBJ, Guangzhou, KCPS, Shanghai |
GWAS Catalog: GCST006131 Europe PMC: 29917119 | 67,812 individuals | European | NR |
Study Identifiers
|
Sample Numbers
|
Sample Ancestry
|
Cohort(s)
|
Phenotype Definitions & Methods
|
Age of Study Participants
|
Participant Follow-up Time
|
Additional Ancestry Description
|
Additional Sample/Cohort Information
|
---|---|---|---|---|---|---|---|---|
— | [
| East Asian (Chinese, Japanese, Korean) | 7 cohorts
| — | — | — | — | Shanghai Studies |
PGS Performance Metric ID (PPM) |
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 |
---|---|---|---|---|---|---|---|---|
PPM014908 | PSS009924| East Asian Ancestry| 1,454 individuals | PGP000354 | Ping J et al. Int J Cancer (2022) | Reported Trait: Colorectal cancer | OR: 1.68 [1.5, 1.89] | AUROC: 0.64 [0.61, 0.67] | — | — | — |
PPM014911 | PSS009923| East Asian Ancestry| 1,736 individuals | PGP000354 | Ping J et al. Int J Cancer (2022) | Reported Trait: Colorectal cancer | OR: 1.5 [1.36, 1.66] | AUROC: 0.61 [0.58, 0.64] | — | — | — |
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
|
---|---|---|---|---|---|---|---|---|
PSS009923 | — | — | [
| — | East Asian (Chinese) | — | NR | — |
PSS009924 | — | — | [
| — | East Asian (Korean) | — | NR | — |