Predicted Trait | |
Reported Trait | Cervical cancer |
Mapped Trait(s) | cervical carcinoma (EFO_0001061) |
Score Construction | |
PGS Name | CC_Cervix |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 10 |
Development Method | |
Name | Genome-wide significant SNPs |
Parameters | P < 5x10-8, MAF > 1%, biallelic SNPs, LD-thin r2 > 0.3 |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000050 |
Citation (link to publication) | Graff RE et al. bioRxiv (2020) Preprint |
Study Identifiers | Sample Numbers | Sample Ancestry |
---|---|---|
GWAS Catalog: GCST003565 EuropePMC: 27285765 |
6,076 individuals | European |
GWAS Catalog: GCST001900 EuropePMC: 23482656 |
4,982 individuals | European |
GWAS Catalog: GCST004833 EuropePMC: 28806749 |
9,347 individuals | European |
PGS Performance Metric ID (PPM ID) |
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 |
---|---|---|---|---|---|---|---|---|
PPM000193 | PSS000112 | PGP000050 Graff RE et al. (2020) Pre | Reported Trait: Cervical cancer | OR: 1.22 [1.19, 1.25] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, 10 PCs. | Results from meta-analysis of GERA and UKB |
PGS Sample Set ID (PSS ID) |
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 |
---|---|---|---|---|---|---|---|---|
PSS000112 | Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 27010 | — | [ ,
0.0 % Male samples |
— | European | — | GERA, UKB | — |