Trait: adenocarcinoma

Trait Information
Identifier MONDO_0004970
Description A common cancer characterized by the presence of malignant glandular cells. Morphologically, adenocarcinomas are classified according to the growth pattern (e.g., papillary, alveolar) or according to the secreting product (e.g., mucinous, serous). Representative examples of adenocarcinoma are ductal and lobular breast carcinoma, lung adenocarcinoma, renal cell carcinoma, hepatocellular carcinoma (hepatoma), colon adenocarcinoma, and prostate adenocarcinoma. [NCIT: C2852]
Trait category
Other trait
Synonyms 6 synonyms
  • ADNOS
  • adenocarcinoma
  • adenocarcinoma NOS (morphologic abnormality)
  • adenocarcinoma, malignant
  • adenocarcinoma, no subtype (morphologic abnormality)
  • adenocarcinomas
Child trait(s) 6 child traits

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
Note: This table shows PGS for child terms of "adenocarcinoma" in the EFO hierarchy.
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)
PGS000070
(PRS_LC_C)
PGP000049 |
Dai J et al. Lancet Respir Med (2019)
Lung cancer lung adenocarcinoma 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000070/ScoringFiles/PGS000070.txt.gz
PGS000076
(CC_Kidney)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Kidney cancer renal cell carcinoma 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000076/ScoringFiles/PGS000076.txt.gz
PGS000352
(PRS_HGS)
PGP000117 |
Barnes DR et al. Genet Med (2020)
High grade serous ovarian cancer high grade ovarian serous adenocarcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000352/ScoringFiles/PGS000352.txt.gz
PGS000787
(CC_Kidney_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Kidney cancer renal cell carcinoma 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000787/ScoringFiles/PGS000787.txt.gz
PGS002264
(PRS_Combined)
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Pancreatic ductal adenocarcinoma pancreatic ductal adenocarcinoma 49
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002264/ScoringFiles/PGS002264.txt.gz
PGS003383
(best_PRAD)
PGP000413 |
Namba S et al. Cancer Res (2022)
Prostate adenocarcinoma prostate adenocarcinoma 168,700
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003383/ScoringFiles/PGS003383.txt.gz
PGS003387
(best_ESCA_BEEA)
PGP000413 |
Namba S et al. Cancer Res (2022)
Esophageal adenocarcinoma or Barrett’s esophagus esophageal adenocarcinoma,
Barrett esophagus
601,980
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003387/ScoringFiles/PGS003387.txt.gz
PGS003388
(best_ESCA_EA)
PGP000413 |
Namba S et al. Cancer Res (2022)
Esophageal adenocarcinoma esophageal adenocarcinoma 356,743
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003388/ScoringFiles/PGS003388.txt.gz
PGS003393
(best_LUAD)
PGP000413 |
Namba S et al. Cancer Res (2022)
Lung adenocarcinoma lung adenocarcinoma 74
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003393/ScoringFiles/PGS003393.txt.gz
PGS004245
(PRS12_kidney)
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Kidney cancer renal cell carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004245/ScoringFiles/PGS004245.txt.gz
PGS005169
(PRS25_LUAD)
PGP000713 |
Blechter B et al. JAMA Netw Open (2023)
Lung adenocarcinoma lung adenocarcinoma 25
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005169/ScoringFiles/PGS005169.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
PPM000190 PGS000070
(PRS_LC_C)
PSS000109|
East Asian Ancestry|
95,408 individuals
PGP000049 |
Dai J et al. Lancet Respir Med (2019)
Reported Trait: Incident lung cancer HR (High genetic risk: top 5% vs. bottom 5% of PRS): 2.37 [1.64, 3.44]
HR (Intermediate genetic risk: 5-95% vs. bottom 5% of PRS): 1.6 [1.17, 2.2]
age, sex, source of region, smoking status
PPM015573 PGS000070
(PRS_LC_C)
PSS009987|
East Asian Ancestry|
19,546 individuals
PGP000387 |
Qin N et al. Lancet Oncol (2022)
|Ext.
Reported Trait: Lung cancer Odds ratio (OR, high vs low risk): 2.18 [2.00, 2.38]
PPM015575 PGS000070
(PRS_LC_C)
PSS009987|
East Asian Ancestry|
19,546 individuals
PGP000387 |
Qin N et al. Lancet Oncol (2022)
|Ext.
Reported Trait: Lung cancer x autosomal mosaic loss abnormalities interaction OR: 2.36 [1.09, 5.08]
PPM018700 PGS000070
(PRS_LC_C)
PSS011073|
East Asian Ancestry|
381 individuals
PGP000494 |
Ho PJ et al. Elife (2023)
|Ext.
Reported Trait: Lung cancer AUROC: 0.68 [0.65, 0.71] Hazard ratio (HR, high vs low tertile): 2.01 [1.44, 2.81] age at recruitment
PPM020283 PGS000070
(PRS_LC_C)
PSS011324|
European Ancestry|
1,202 individuals
PGP000539 |
Lebrett MB et al. Genet Med (2023)
|Ext.
Reported Trait: Lung cancer AUROC: 0.726 [0.698, 0.754] Age, sex, current smoking status, BMI, forced expiratory volume in 1 second/forced vital capacity ratio
PPM021774 PGS000070
(PRS_LC_C)
PSS011793|
East Asian Ancestry|
100,615 individuals
PGP000678 |
Zhu M et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Incident lung cancer HR: 1.19 [1.13, 1.25] Age, sex, smoking status, BMI, highest education level, family history of cancer, personal medical history (previous cancer diagnoses and chronic obstructive pulmonary disease), the forced expiratory volume in 1 second, 10 PCs
PPM022188 PGS000070
(PRS_LC_C)
PSS011836|
East Asian Ancestry|
1,197 individuals
PGP000687 |
Lee PH et al. JCO Precis Oncol (2024)
|Ext.
Reported Trait: Incident non-small cell lung cancer Hazard ratio (HR, high vs low PGS quartile): 2.33 [0.6, 9.04] Age, smoking, family history of lung cancer
PPM022189 PGS000070
(PRS_LC_C)
PSS011835|
East Asian Ancestry|
1,090 individuals
PGP000687 |
Lee PH et al. JCO Precis Oncol (2024)
|Ext.
Reported Trait: Incident non-small cell lung cancer Hazard ratio (HR, high vs low PGS quartile): 2.97 [1.25, 7.07] Age, smoking, family history of lung cancer
PPM000196 PGS000076
(CC_Kidney)
PSS000115|
European Ancestry|
411,695 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Kidney cancer OR: 1.21 [1.14, 1.27] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002042 PGS000076
(CC_Kidney)
PSS001015|
European Ancestry|
391,610 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident kidney cancer HR: 1.16 [1.08, 1.26] AUROC: 0.722
C-index: 0.724 (0.011)
Age at assessment, sex, genotyping array, PCs(1-15), body mass index, smoking status (never vs. former vs. current), cigarette pack-years, ever diagnosed with hypertension C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM017169 PGS000076
(CC_Kidney)
PSS010145|
European Ancestry|
547 individuals
PGP000443 |
Byrne S et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Kidney cancer HR: 1.14 [1.05, 1.24] age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates
PPM001032 PGS000352
(PRS_HGS)
PSS000524|
European Ancestry|
18,935 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Ovarian cancer in BRCA1 carriers HR: 1.32 [1.25, 1.4] birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives
PPM001033 PGS000352
(PRS_HGS)
PSS000528|
European Ancestry|
12,339 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Ovarian cancer in BRCA2 carriers HR: 1.43 [1.29, 1.59] birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives
PPM001036 PGS000352
(PRS_HGS)
PSS000530|
European Ancestry|
3,152 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Incident ovarian cancer in BRCA1 carriers HR: 1.28 [1.06, 1.55] family history of the appropriate cancer in first- and second-degree relatives
PPM001037 PGS000352
(PRS_HGS)
PSS000532|
European Ancestry|
2,495 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Incident ovarian cancer in BRCA2 carriers HR: 1.45 [1.13, 1.86] family history of the appropriate cancer in first- and second-degree relatives
PPM002058 PGS000787
(CC_Kidney_IV)
PSS001015|
European Ancestry|
391,610 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident kidney cancer HR: 1.15 [1.07, 1.24] AUROC: 0.722
C-index: 0.723 (0.011)
: 0.366 Age at assessment, sex, genotyping array, PCs(1-15), body mass index, smoking status (never vs. former vs. current), cigarette pack-years, ever diagnosed with hypertension C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM012888 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma AUROC: 0.605 [0.587, 0.623] Positive predictive values (PPV highest quintile): 14.4 [13, 15.9]
PPM012894 PGS002264
(PRS_Combined)
PSS009600|
Ancestry Not Reported|
206 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with long-standing diabetes mellitus) Positive predictive values (PPV highest quintile): 0.239 [0.181, 0.303]
PPM012892 PGS002264
(PRS_Combined)
PSS009598|
Ancestry Not Reported|
10,259 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (without diabetes mellitus) AUROC: 0.594 [0.573, 0.614] Positive predictive values (PPV highest quintile): 0.119 [0.105, 0.134]
PPM012895 PGS002264
(PRS_Combined)
PSS009600|
Ancestry Not Reported|
206 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with long-standing diabetes mellitus) OR: 1.873 [1.53, 2.292] principal components (PC 1-10)
PPM012896 PGS002264
(PRS_Combined)
PSS009601|
Ancestry Not Reported|
998 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with new onset diabetes mellitus) Positive predictive values (PPV highest quintile): 0.867 [0.732, 0.949]
PPM012897 PGS002264
(PRS_Combined)
PSS009601|
Ancestry Not Reported|
998 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with new onset diabetes mellitus) OR: 1.885 [1.279, 2.778] principal components (PC 1-10)
PPM012898 PGS002264
(PRS_Combined)
PSS009596|
Ancestry Not Reported|
1,203 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with diabetes mellitus) OR: 1.674 [1.443, 1.942] principal components (PC 1-10)
PPM012899 PGS002264
(PRS_Combined)
PSS009596|
Ancestry Not Reported|
1,203 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with diabetes mellitus) AUROC: 0.645
PPM012900 PGS002264
(PRS_Combined)
PSS009597|
Ancestry Not Reported|
242 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (< 60 years) OR: 1.633 [1.292, 2.064] principal components (PC 1-10)
PPM012901 PGS002264
(PRS_Combined)
PSS009599|
Ancestry Not Reported|
274 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (60 years) OR: 1.538 [1.287, 1.837] principal components (PC 1-10)
PPM012893 PGS002264
(PRS_Combined)
PSS009598|
Ancestry Not Reported|
10,259 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (without diabetes mellitus) OR: 1.386 [1.288, 1.492] principal components (PC 1-10)
PPM012889 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma HR (highest vs lowest quintile): 2.738 [2.227, 3.365] Smoking (never, current and previous), waist circumference (cm), DM onset (No DM, NODM, LSDM) and first-degree family history of digestive cancer (yes/no)
PPM012890 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma AUROC: 0.83 [0.8, 0.86] Age of participants at recruitment, age when DM diagnosed, DM onset (No DM, NODM, LSDM), waist circumference (cm), and first-degree family history of digestive cancer (yes/no)., clinical risk
PPM012891 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma OR: 1.43 principal components (PC 1-10)
PPM016258 PGS003383
(best_PRAD)
PSS010084|
European Ancestry|
133,752 individuals
PGP000413 |
Namba S et al. Cancer Res (2022)
Reported Trait: prostate adenocarcinoma AUROC: 0.813 : 0.0798 age, top 20 genetic principal components
PPM016262 PGS003387
(best_ESCA_BEEA)
PSS010077|
European Ancestry|
270,026 individuals
PGP000413 |
Namba S et al. Cancer Res (2022)
Reported Trait: esophageal adenocarcinoma AUROC: 0.819 : 0.0123 age, sex, top 20 genetic principal components
PPM016263 PGS003388
(best_ESCA_EA)
PSS010077|
European Ancestry|
270,026 individuals
PGP000413 |
Namba S et al. Cancer Res (2022)
Reported Trait: esophageal adenocarcinoma AUROC: 0.814 : 0.00875 age, sex, top 20 genetic principal components
PPM016268 PGS003393
(best_LUAD)
PSS010080|
European Ancestry|
270,412 individuals
PGP000413 |
Namba S et al. Cancer Res (2022)
Reported Trait: lung adenocarcinoma AUROC: 0.743 : 0.00649 age, sex, top 20 genetic principal components
PPM020302 PGS004245
(PRS12_kidney)
PSS011328|
European Ancestry|
133,830 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Kidney cancer HR: 1.22 [1.02, 1.45] first 10 genetic principal components
PPM020310 PGS004245
(PRS12_kidney)
PSS011329|
European Ancestry|
115,207 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Kidney cancer HR: 1.25 [1.1, 1.41] first 10 genetic principal components
PPM022451 PGS005169
(PRS25_LUAD)
PSS011947|
East Asian Ancestry|
2,048 individuals
PGP000713 |
Blechter B et al. JAMA Netw Open (2023)
Reported Trait: Lung adenocarcinoma OR: 1.6 [1.46, 1.75]
PPM022452 PGS005169
(PRS25_LUAD)
PSS011947|
East Asian Ancestry|
2,048 individuals
PGP000713 |
Blechter B et al. JAMA Netw Open (2023)
Reported Trait: Lung adenocarcinoma x Environmental Tobacco Smoke interaction p-value (p, Environmental Tobacco Smoke at home and at work and high PRS vs Environmental Tobacco Smoke never and low PRS): 0.00065

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
PSS011328 133,830 individuals,
0.0 % Male samples
European
(British)
UKB
PSS011329 115,207 individuals,
100.0 % Male samples
European
(British)
UKB
PSS011835 Median = 10.7 years
[
  • 48 cases
  • , 1,042 controls
]
,
0.0 % Male samples
East Asian
(Chinese)
TPMI
PSS011836 Median = 10.0 years
[
  • 30 cases
  • , 1,167 controls
]
,
100.0 % Male samples
East Asian
(Chinese)
TPMI
PSS011947
[
  • 1,024 cases
  • , 1,024 controls
]
,
0.0 % Male samples
East Asian
(Han Chinese)
GELAC
PSS000524
[
  • 2,068 cases
  • , 16,867 controls
]
,
0.0 % Male samples
European 59 cohorts
  • BCFR-AU
  • ,BCFR-NY
  • ,BCFR-PA
  • ,BCFR-UTAH
  • ,BFBOCC
  • ,BMBSA
  • ,BRICOH
  • ,CNIO
  • ,COH
  • ,CONSIT_TEAM
  • ,CopBCS
  • ,DEMOKRITOS
  • ,DFCI
  • ,DKFZ
  • ,EMBRACE
  • ,FCCC
  • ,G-FaST
  • ,GC-HBOC
  • ,GEMO
  • ,Georgetown
  • ,HCSC
  • ,HEBCS
  • ,HEBON
  • ,HUNBOCS
  • ,HUVH
  • ,ICO
  • ,IHCC
  • ,INHERIT
  • ,IOVHBOCS
  • ,IPOBCS
  • ,KUMC
  • ,LUHR
  • ,MACBRCA
  • ,MAYO
  • ,MCGILL
  • ,MDACCS
  • ,MODSQUAD
  • ,MSKCC
  • ,MUV
  • ,NC-BCFR
  • ,NCI
  • ,NICCC
  • ,NNPIO
  • ,NRG_ONCOLOGY
  • ,NSUHS
  • ,OCGN
  • ,OFBCR
  • ,OUH
  • ,PiBCS
  • ,SWE-BRCA
  • ,UC
  • ,UCLA
  • ,UCSF
  • ,UKGRFOCR
  • ,UPENN
  • ,UPITT
  • ,VFCTG
  • ,WCRI
  • ,kConFab
PSS011793
[
  • 1,392 cases
  • , 99,223 controls
]
East Asian
(Chinese)
CKB
PSS000528
[
  • 718 cases
  • , 11,621 controls
]
,
0.0 % Male samples
European 59 cohorts
  • BCFR-AU
  • ,BCFR-NY
  • ,BCFR-PA
  • ,BCFR-UTAH
  • ,BFBOCC
  • ,BMBSA
  • ,BRICOH
  • ,CNIO
  • ,COH
  • ,CONSIT_TEAM
  • ,CopBCS
  • ,DEMOKRITOS
  • ,DFCI
  • ,DKFZ
  • ,EMBRACE
  • ,FCCC
  • ,G-FaST
  • ,GC-HBOC
  • ,GEMO
  • ,Georgetown
  • ,HCSC
  • ,HEBCS
  • ,HEBON
  • ,HUNBOCS
  • ,HUVH
  • ,ICO
  • ,IHCC
  • ,INHERIT
  • ,IOVHBOCS
  • ,IPOBCS
  • ,KUMC
  • ,LUHR
  • ,MACBRCA
  • ,MAYO
  • ,MCGILL
  • ,MDACCS
  • ,MODSQUAD
  • ,MSKCC
  • ,MUV
  • ,NC-BCFR
  • ,NCI
  • ,NICCC
  • ,NNPIO
  • ,NRG_ONCOLOGY
  • ,NSUHS
  • ,OCGN
  • ,OFBCR
  • ,OUH
  • ,PiBCS
  • ,SWE-BRCA
  • ,UC
  • ,UCLA
  • ,UCSF
  • ,UKGRFOCR
  • ,UPENN
  • ,UPITT
  • ,VFCTG
  • ,WCRI
  • ,kConFab
PSS000530 To assess associationss between the PRS and ovarian cancer risk, eligibility was restricted to women who had not been diagnosed with ovarian cancer and had not had RRSO at the time of baselinne questionnaire completion. Carriers diagnosed with invasive ovarian, fallopian tube, or peritoneal cancer during the follow-up were considered affected.
[
  • 108 cases
  • , 3,044 controls
]
,
0.0 % Male samples
European 61 cohorts
  • BCFR
  • ,BCFR-AU
  • ,BCFR-NY
  • ,BCFR-PA
  • ,BCFR-UTAH
  • ,BFBOCC
  • ,BMBSA
  • ,BRICOH
  • ,CNIO
  • ,COH
  • ,CONSIT_TEAM
  • ,CopBCS
  • ,DEMOKRITOS
  • ,DFCI
  • ,DKFZ
  • ,EMBRACE
  • ,FCCC
  • ,G-FaST
  • ,GC-HBOC
  • ,GEMO
  • ,Georgetown
  • ,HCSC
  • ,HEBCS
  • ,HEBON
  • ,HUNBOCS
  • ,HUVH
  • ,IBCCS
  • ,ICO
  • ,IHCC
  • ,INHERIT
  • ,IOVHBOCS
  • ,IPOBCS
  • ,KUMC
  • ,LUHR
  • ,MACBRCA
  • ,MAYO
  • ,MCGILL
  • ,MDACCS
  • ,MODSQUAD
  • ,MSKCC
  • ,MUV
  • ,NC-BCFR
  • ,NCI
  • ,NICCC
  • ,NNPIO
  • ,NRG_ONCOLOGY
  • ,NSUHS
  • ,OCGN
  • ,OFBCR
  • ,OUH
  • ,PiBCS
  • ,SWE-BRCA
  • ,UC
  • ,UCLA
  • ,UCSF
  • ,UKGRFOCR
  • ,UPENN
  • ,UPITT
  • ,VFCTG
  • ,WCRI
  • ,kConFab
PSS000532 To assess associationss between the PRS and ovarian cancer risk, eligibility was restricted to women who had not been diagnosed with ovarian cancer and had not had RRSO at the time of baseline questionnaire completion. Carriers diagnosed with invasive ovarian, fallopian tbe, or peritoneal cancer during the follow-up were considered affected.
[
  • 56 cases
  • , 2,439 controls
]
,
0.0 % Male samples
European 61 cohorts
  • BCFR
  • ,BCFR-AU
  • ,BCFR-NY
  • ,BCFR-PA
  • ,BCFR-UTAH
  • ,BFBOCC
  • ,BMBSA
  • ,BRICOH
  • ,CNIO
  • ,COH
  • ,CONSIT_TEAM
  • ,CopBCS
  • ,DEMOKRITOS
  • ,DFCI
  • ,DKFZ
  • ,EMBRACE
  • ,FCCC
  • ,G-FaST
  • ,GC-HBOC
  • ,GEMO
  • ,Georgetown
  • ,HCSC
  • ,HEBCS
  • ,HEBON
  • ,HUNBOCS
  • ,HUVH
  • ,IBCCS
  • ,ICO
  • ,IHCC
  • ,INHERIT
  • ,IOVHBOCS
  • ,IPOBCS
  • ,KUMC
  • ,LUHR
  • ,MACBRCA
  • ,MAYO
  • ,MCGILL
  • ,MDACCS
  • ,MODSQUAD
  • ,MSKCC
  • ,MUV
  • ,NC-BCFR
  • ,NCI
  • ,NICCC
  • ,NNPIO
  • ,NRG_ONCOLOGY
  • ,NSUHS
  • ,OCGN
  • ,OFBCR
  • ,OUH
  • ,PiBCS
  • ,SWE-BRCA
  • ,UC
  • ,UCLA
  • ,UCSF
  • ,UKGRFOCR
  • ,UPENN
  • ,UPITT
  • ,VFCTG
  • ,WCRI
  • ,kConFab
PSS009595 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. Median = 109.0 months
[
  • 1,042 cases
  • , 10,420 controls
]
,
52.0 % Male samples
Mean = 61.3 years Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009596 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone.
[
  • 251 cases
  • , 952 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009597 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone.
[
  • 37 cases
  • , 205 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009598 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone.
[
  • 791 cases
  • , 9,468 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009599 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone.
[
  • 55 cases
  • , 219 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009600 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. LSDM is defined in cases as type 2 diabetes diagnosed more than 24 months before PDAC diagnosis. Defined in controls as type 2 diabetes diagnosed more than 24 months before date of death or date of last follow up.
[
  • 135 cases
  • , 70 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009601 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. NODM is defined in cases as type 2 diabetes diagnosed within 24 months before or after diagnosis of PDAC. Defined in controls as type 2 diabetes diagnosed 24 months before death or last follow up.
[
  • 116 cases
  • , 882 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS010077 C15, histology was one of the followings: Adenocarcinoma, NOS; Adenocarcinoma, intestinal type; Adenocarcinoma in tubulovillous adenoma
[
  • 482 cases
  • , 269,544 controls
]
European
(British)
UKB Controls were samples without any cancer diagnosis or self-reported cancer
PSS010080 C34, histology was one of the followings: Squamous cell carcinoma; Squamous cell carcinoma, keratinizing; Squamous cell carcinoma, large cell, non-keratinizing; Squamous cell carcinoma, micro-invasive; Squamous cell carcinoma, small cell, non-keratinizing
[
  • 868 cases
  • , 269,544 controls
]
European
(British)
UKB Controls were samples without any cancer diagnosis or self-reported cancer
PSS010145
[
  • 28 cases
  • , 519 controls
]
European UKB
PSS011073 381 individuals,
100.0 % Male samples
Median = 60.0 years
IQR = [55.0, 64.0] years
East Asian
(Chinese)
SCHS
PSS010084 C61
[
  • 7,100 cases
  • , 126,652 controls
]
European
(British)
UKB Controls were samples without any cancer diagnosis or self-reported cancer
PSS009987
[
  • 10,248 cases
  • , 9,298 controls
]
,
63.0 % Male samples
East Asian
(Chinese)
NR NJLCC
PSS000109 Participants were followed-up for cancer events mainly through linkage with official death certificates, chronic disease registries, and the Chinese national health insurance system. Median = 10.44 years
[
  • 1,316 cases
  • , 94,092 controls
]
,
42.93 % Male samples
Mean = 53.67 years
Se = 10.98 years
East Asian
(Chinese)
CKB
PSS001015 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases.
[
  • 612 cases
  • , 390,998 controls
]
European UKB
PSS011324
[
  • 652 cases
  • , 550 controls
]
,
47.0 % Male samples
Median = 65.0 years European MCRC
PSS000115 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): 29020
[
  • 1,341 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European GERA, UKB