Publication Information (EuropePMC) | |
Title | The role of polygenic risk and susceptibility genes in breast cancer over the course of life |
PubMed ID | 33318493(Europe PMC) |
doi | 10.1038/s41467-020-19966-5 |
Publication Date | Dec. 14, 2020 |
Journal | Nat Commun |
Author(s) | Mars N, Widen E, Kerminen S, Meretoja T, Pirinen M, della Briotta Parolo P, Palta P, Palotie A, Kaprio J, Joensuu H, Daly M, Ripatti S, FinnGen. |
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) |
---|---|---|---|---|---|---|
PGS000335 (BC_PRSCS) |
PGP000102 | Mars N et al. Nat Commun (2020) |
Breast cancer | breast carcinoma | 1,079,089 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000335/ScoringFiles/PGS000335.txt.gz |
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) |
---|---|---|---|---|---|---|
PGS000004 (PRS313_BC) |
PGP000002 | Mavaddat N et al. Am J Hum Genet (2018) |
Breast cancer | breast carcinoma | 313 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000004/ScoringFiles/PGS000004.txt.gz | |
PGS000332 (PRS_BC) |
PGP000100 | Mars N et al. Nat Med (2020) |
Breast cancer | breast carcinoma | 6,390,808 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000332/ScoringFiles/PGS000332.txt.gz |
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 |
---|---|---|---|---|---|---|---|---|---|
PPM001345 | PGS000004 (PRS313_BC) |
PSS000450| European Ancestry| 122,978 individuals |
PGP000102 | Mars N et al. Nat Commun (2020) |Ext. |
Reported Trait: Breast cancer | HR: 1.55 [1.52, 1.58] | — | — | 10 ancestry PCs, batch, age as time scale | 260/313 variants in the PRS are polymorphic in FinnGen |
PPM001347 | PGS000004 (PRS313_BC) |
PSS000450| European Ancestry| 122,978 individuals |
PGP000102 | Mars N et al. Nat Commun (2020) |Ext. |
Reported Trait: Breast cancer | OR: 1.61 [1.57, 1.64] | — | — | Age, 10 ancestry PCs, batch | 260/313 variants in the PRS are polymorphic in FinnGen |
PPM001346 | PGS000332 (PRS_BC) |
PSS000450| European Ancestry| 122,978 individuals |
PGP000102 | Mars N et al. Nat Commun (2020) |Ext. |
Reported Trait: Breast cancer | HR: 1.63 [1.6, 1.67] | — | — | 10 ancestry PCs, batch, age as time scale | — |
PPM001348 | PGS000332 (PRS_BC) |
PSS000450| European Ancestry| 122,978 individuals |
PGP000102 | Mars N et al. Nat Commun (2020) |Ext. |
Reported Trait: Breast cancer | OR: 1.71 [1.67, 1.75] | — | — | Age, 10 ancestry PCs, batch | — |
PPM000903 | PGS000335 (BC_PRSCS) |
PSS000450| European Ancestry| 122,978 individuals |
PGP000102 | Mars N et al. Nat Commun (2020) |
Reported Trait: Breast cancer | OR: 1.8 [1.76, 1.84] | — | — | Age, 10 ancestry PCs, batch | — |
PPM000902 | PGS000335 (BC_PRSCS) |
PSS000450| European Ancestry| 122,978 individuals |
PGP000102 | Mars N et al. Nat Commun (2020) |
Reported Trait: Breast cancer | HR: 1.71 [1.68, 1.75] | — | — | 10 ancestry PCs, batch, age as time scale | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS000450 | Breast cancer cases were identified through the Finnish Cancer Registry with diagnosis C50 (International Classification of Diseases for Oncology, 3rd Edition; ICD-O-3), from the drug reimbursement registry by selecting individuals with a reimbursement code for breast cancer, and from the death registry with ICD-10 C50. | — | [ ,
0.0 % Male samples |
Mean Age (At The End Of Follow-Up) = 58.5 years IQR = [45.1, 72.2] years |
European (Finnish) |
— | FinnGen | — |