Trait: digestive system cancer

Trait Information
Identifier MONDO_0002516
Description A primary or metastatic malignant neoplasm involving any part of the digestive system. [NCIT: C4890]
Trait category
Other trait
Synonyms 9 synonyms
  • GI tumor
  • GI tumour
  • cancer of digestive system
  • digestive system cancer
  • gastrointestinal system cancer
  • malignant digestive system neoplasm
  • malignant gastrointestinal neoplasm
  • malignant gastrointestinal system neoplasm
  • malignant neoplasm of digestive system
Child trait(s) 18 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 all PGS for "digestive system cancer" and any child terms of this trait in the EFO hierarchy by default.
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)
PGS000055
(PRS_CRC)
PGP000040 |
Schmit SL et al. J Natl Cancer Inst (2019)
Colorectal cancer colorectal cancer 76
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000055/ScoringFiles/PGS000055.txt.gz
PGS000074
(CC_Colorectal)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Colorectal cancer colorectal cancer 103
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000074/ScoringFiles/PGS000074.txt.gz
PGS000081
(CC_Oral)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Oral cavity and pharyngeal cancers oral cavity cancer,
pharynx cancer
14
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000081/ScoringFiles/PGS000081.txt.gz
PGS000083
(CC_Pancreas)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Pancreatic cancer exocrine pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000083/ScoringFiles/PGS000083.txt.gz
PGS000146
(CRC_GRS_27)
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Colorectal cancer colorectal cancer 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000146/ScoringFiles/PGS000146.txt.gz
PGS000147
(CRC21)
PGP000070 |
IbÑñez-Sanz G et al. Sci Rep (2017)
Colorectal cancer colorectal cancer 21
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000147/ScoringFiles/PGS000147.txt.gz
PGS000148
(CRC63)
PGP000071 |
Jeon J et al. Gastroenterology (2018)
Colorectal cancer colorectal cancer 63
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000148/ScoringFiles/PGS000148.txt.gz
PGS000149
(CRC41)
PGP000072 |
Smith T et al. Br J Cancer (2018)
Colorectal cancer colorectal cancer 41
-
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000149/ScoringFiles/PGS000149.txt.gz
PGS000150
(GRS48)
PGP000073 |
Weigl K et al. Gastroenterology (2018)
Colorectal cancer colorectal cancer 48
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000150/ScoringFiles/PGS000150.txt.gz
PGS000151
(SC_GRS)
PGP000074 |
Xin J et al. Gene (2018)
Colorectal cancer colorectal cancer 14
-
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000151/ScoringFiles/PGS000151.txt.gz
PGS000154
(cGRS_Colorectal)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Colorectal cancer colorectal cancer 30
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000154/ScoringFiles/PGS000154.txt.gz
PGS000159
(cGRS_Pancreatic)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Pancreatic cancer exocrine pancreatic carcinoma 9
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000159/ScoringFiles/PGS000159.txt.gz
PGS000357
(PRSWEB_PHECODE145_C3-LIP-ORAL-PHARYNX_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Oral cavity cancer oral cavity cancer 45
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000357/ScoringFiles/PGS000357.txt.gz
PGS000358
(PRSWEB_PHECODE145_UKBB-SAIGE-HRC-X145_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Oral cavity cancer oral cavity cancer 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000358/ScoringFiles/PGS000358.txt.gz
PGS000363
(PRSWEB_PHECODE150_C15_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Esophageal cancer esophageal cancer 1,081,646
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000363/ScoringFiles/PGS000363.txt.gz
PGS000364
(PRSWEB_PHECODE150_C15_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Esophageal cancer esophageal cancer 2,001
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000364/ScoringFiles/PGS000364.txt.gz
PGS000365
(PRSWEB_PHECODE150_C3-OESOPHAGUS_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Esophageal cancer esophageal cancer 1,070,434
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000365/ScoringFiles/PGS000365.txt.gz
PGS000366
(PRSWEB_PHECODE150_UKBB-SAIGE-HRC-X150_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Esophageal cancer esophageal cancer 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000366/ScoringFiles/PGS000366.txt.gz
PGS000367
(PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 74
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000367/ScoringFiles/PGS000367.txt.gz
PGS000368
(PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 74
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000368/ScoringFiles/PGS000368.txt.gz
PGS000369
(PRSWEB_PHECODE153_CRC-Huyghe_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 81
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000369/ScoringFiles/PGS000369.txt.gz
PGS000370
(PRSWEB_PHECODE153_CRC-Huyghe_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 87
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000370/ScoringFiles/PGS000370.txt.gz
PGS000371
(PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 18
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000371/ScoringFiles/PGS000371.txt.gz
PGS000372
(PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 27
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000372/ScoringFiles/PGS000372.txt.gz
PGS000373
(PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000373/ScoringFiles/PGS000373.txt.gz
PGS000374
(PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 41
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000374/ScoringFiles/PGS000374.txt.gz
PGS000375
(PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 370
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000375/ScoringFiles/PGS000375.txt.gz
PGS000376
(PRSWEB_PHECODE153.2_C18_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colon cancer colon carcinoma 1,111,490
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000376/ScoringFiles/PGS000376.txt.gz
PGS000377
(PRSWEB_PHECODE153.2_C18_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colon cancer colon carcinoma 5,740,814
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000377/ScoringFiles/PGS000377.txt.gz
PGS000378
(PRSWEB_PHECODE153.2_C3-COLON_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colon cancer colon carcinoma 1,111,399
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000378/ScoringFiles/PGS000378.txt.gz
PGS000379
(PRSWEB_PHECODE153.2_C3-COLON_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colon cancer colon carcinoma 5,715,093
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000379/ScoringFiles/PGS000379.txt.gz
PGS000380
(PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colon cancer colon carcinoma 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000380/ScoringFiles/PGS000380.txt.gz
PGS000381
(PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colon cancer colon carcinoma 12
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000381/ScoringFiles/PGS000381.txt.gz
PGS000382
(PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Colon cancer colon carcinoma 150
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000382/ScoringFiles/PGS000382.txt.gz
PGS000383
(PRSWEB_PHECODE153.3_C19_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of rectum, rectosigmoid junction, and anus rectosigmoid junction neoplasm,
rectal cancer
1,078,799
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000383/ScoringFiles/PGS000383.txt.gz
PGS000384
(PRSWEB_PHECODE153.3_C3-RECTUM_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of rectum, rectosigmoid junction, and anus rectosigmoid junction neoplasm,
rectal cancer
1,104,018
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000384/ScoringFiles/PGS000384.txt.gz
PGS000385
(PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Pancreatic cancer exocrine pancreatic carcinoma 17
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000385/ScoringFiles/PGS000385.txt.gz
PGS000386
(PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Pancreatic cancer exocrine pancreatic carcinoma 10
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000386/ScoringFiles/PGS000386.txt.gz
PGS000663
(wGRS22)
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Pancreatic cancer exocrine pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000663/ScoringFiles/PGS000663.txt.gz
PGS000720
(PRS_Colorectal)
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Colorectal cancer colorectal cancer 95
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000720/ScoringFiles/PGS000720.txt.gz
PGS000725
(PRS_Pancreas)
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Pancreatic cancer exocrine pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000725/ScoringFiles/PGS000725.txt.gz
PGS000734
(PRS95_CRC)
PGP000142 |
Archambault AN et al. Gastroenterology (2019)
Colorectal cancer colorectal cancer 95
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000734/ScoringFiles/PGS000734.txt.gz
PGS000765
(PRS_CRC95)
PGP000170 |
Huyghe JR et al. Nat Genet (2018)
Colorectal cancer colorectal cancer 95
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000765/ScoringFiles/PGS000765.txt.gz
PGS000785
(CC_Colorectal_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Colorectal cancer colorectal cancer 103
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000785/ScoringFiles/PGS000785.txt.gz
PGS000792
(CC_Oral_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Oral cavity and pharyngeal cancers oral cavity cancer,
pharynx cancer
14
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000792/ScoringFiles/PGS000792.txt.gz
PGS000794
(CC_Pancreas_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Pancreatic cancer exocrine pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000794/ScoringFiles/PGS000794.txt.gz
PGS000801
(GRS40_CRC)
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Colorectal cancer colorectal cancer 40
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000801/ScoringFiles/PGS000801.txt.gz
PGS000802
(CRC_19)
PGP000191 |
He CY et al. Genomics (2021)
Colorectal cancer colorectal cancer 19
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000802/ScoringFiles/PGS000802.txt.gz
PGS001776
(PRS45_CC)
PGP000256 |
Gafni A et al. PLoS One (2021)
Colorectal cancer colorectal cancer 45
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001776/ScoringFiles/PGS001776.txt.gz
PGS001802
(portability-PLR_153)
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Colorectal cancer colorectal cancer 2,821
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001802/ScoringFiles/PGS001802.txt.gz
PGS002013
(portability-ldpred2_153)
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Colorectal cancer colorectal cancer 648,559
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002013/ScoringFiles/PGS002013.txt.gz
PGS002252
(PRS_CRC)
PGP000279 |
Archambault AN et al. J Natl Cancer Inst (2022)
Colorectal cancer colorectal cancer 141
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002252/ScoringFiles/PGS002252.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
PGS002265
(PRS140_CRC)
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 140
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002265/ScoringFiles/PGS002265.txt.gz
PGS002298
(PRS14_esophageal)
PGP000328 |
Choi J et al. Int J Cancer (2020)
Esophageal cancer carcinoma of esophagus 14
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002298/ScoringFiles/PGS002298.txt.gz
PGS002299
(PRS3_gastric)
PGP000328 |
Choi J et al. Int J Cancer (2020)
Gastric cancer gastric cancer 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002299/ScoringFiles/PGS002299.txt.gz
PGS002740
(PRS22_PC)
PGP000347 |
Yuan C et al. Ann Oncol (2022)
Pancreatic cancer exocrine pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002740/ScoringFiles/PGS002740.txt.gz
PGS002742
(PRS115_EAS)
PGP000354 |
Ping J et al. Int J Cancer (2022)
Colorectal cancer colorectal cancer 115
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002742/ScoringFiles/PGS002742.txt.gz
PGS002743
(PRS115_EUR)
PGP000354 |
Ping J et al. Int J Cancer (2022)
Colorectal cancer colorectal cancer 115
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002743/ScoringFiles/PGS002743.txt.gz
PGS002744
(PRS115_EUR_EAS)
PGP000354 |
Ping J et al. Int J Cancer (2022)
Colorectal cancer colorectal cancer 115
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002744/ScoringFiles/PGS002744.txt.gz
PGS002747
(PRS_GI)
PGP000359 |
Liu Y et al. Cancer Med (2022)
Gastrointestinal cancer digestive system carcinoma 106
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002747/ScoringFiles/PGS002747.txt.gz
PGS002758
(Colorectal_cancer_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Colorectal cancer colorectal cancer 1,087,843
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002758/ScoringFiles/PGS002758.txt.gz
PGS003386
(best_COADREAD)
PGP000413 |
Namba S et al. Cancer Res (2022)
Colorectal cancer colorectal carcinoma 61
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003386/ScoringFiles/PGS003386.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
PGS003395
(PRScsx_CRC)
PGP000414 |
Xin J et al. Genome Med (2023)
Colorectal cancer colorectal cancer 1,145,689
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003395/ScoringFiles/PGS003395.txt.gz
PGS003431
(LDPred2-inf)
PGP000438 |
Briggs SEW et al. BMJ (2022)
Colorectal cancer colorectal cancer 1,104,409
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003431/ScoringFiles/PGS003431.txt.gz
PGS003432
(LDPred2-grid)
PGP000438 |
Briggs SEW et al. BMJ (2022)
Colorectal cancer colorectal cancer 1,104,409
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003432/ScoringFiles/PGS003432.txt.gz
PGS003433
(LDPred2-grid-sp)
PGP000438 |
Briggs SEW et al. BMJ (2022)
Colorectal cancer colorectal cancer 616,956
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003433/ScoringFiles/PGS003433.txt.gz
PGS003434
(SCT)
PGP000438 |
Briggs SEW et al. BMJ (2022)
Colorectal cancer colorectal cancer 194,756
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003434/ScoringFiles/PGS003434.txt.gz
PGS003435
(CT)
PGP000438 |
Briggs SEW et al. BMJ (2022)
Colorectal cancer colorectal cancer 13,446
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003435/ScoringFiles/PGS003435.txt.gz
PGS003436
(GWAS-sig)
PGP000438 |
Briggs SEW et al. BMJ (2022)
Colorectal cancer colorectal cancer 50
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003436/ScoringFiles/PGS003436.txt.gz
PGS003439
(PRSCC_140)
PGP000441 |
Su YR et al. Cancer Epidemiol Biomarkers Prev (2023)
Colorectal cancer colorectal cancer 140
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003439/ScoringFiles/PGS003439.txt.gz
PGS003739
(PRS81_CoC)
PGP000470 |
Xin J et al. EBioMedicine (2023)
Colorectal cancer colorectal carcinoma 81
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003739/ScoringFiles/PGS003739.txt.gz
PGS003760
(PRS49_EOCRC)
PGP000480 |
Wang H et al. Genome Med (2023)
Early onset colorectal cancer colorectal cancer 49
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003760/ScoringFiles/PGS003760.txt.gz
PGS003850
(CRC_PRS_200loci)
PGP000491 |
Fernandez-Rozadilla C et al. Nat Genet (2022)
Colorectal cancer colorectal cancer 205
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003850/ScoringFiles/PGS003850.txt.gz
PGS003851
(CRC_PRS_EUR)
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Colorectal cancer colorectal cancer 1,180,765
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003851/ScoringFiles/PGS003851.txt.gz
PGS003852
(CRC_PRS_EUR_EAS)
PGP000492 |
Thomas M et al. Nat Commun (2023)
Colorectal cancer colorectal cancer 1,016,596
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003852/ScoringFiles/PGS003852.txt.gz
PGS003979
(CRC_PRSCS)
PGP000515 |
Tamlander M et al. Br J Cancer (2023)
Colorectal cancer colorectal carcinoma 1,088,133
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003979/ScoringFiles/PGS003979.txt.gz
PGS004240
(PRS89_CRC)
PGP000541 |
Fan L et al. Int J Cancer (2023)
Colorectal cancer colorectal carcinoma 89
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004240/ScoringFiles/PGS004240.txt.gz
PGS004243
(PRS67_colorectum)
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Colorectal cancer colorectal carcinoma 67
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004243/ScoringFiles/PGS004243.txt.gz
PGS004250
(PRS19_pancreas)
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Pancreatic cancer exocrine pancreatic carcinoma 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004250/ScoringFiles/PGS004250.txt.gz
PGS004300
(GenoBoost_colorectal_cancer_0)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Colorectal cancer colorectal carcinoma 70
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004300/ScoringFiles/PGS004300.txt.gz
PGS004301
(GenoBoost_colorectal_cancer_1)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Colorectal cancer colorectal carcinoma 600
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004301/ScoringFiles/PGS004301.txt.gz
PGS004302
(GenoBoost_colorectal_cancer_2)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Colorectal cancer colorectal carcinoma 300
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004302/ScoringFiles/PGS004302.txt.gz
PGS004303
(GenoBoost_colorectal_cancer_3)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Colorectal cancer colorectal carcinoma 200
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004303/ScoringFiles/PGS004303.txt.gz
PGS004304
(GenoBoost_colorectal_cancer_4)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Colorectal cancer colorectal carcinoma 700
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004304/ScoringFiles/PGS004304.txt.gz
PGS004320
(PRS16_UGI)
PGP000551 |
Liu W et al. Nutrients (2023)
Upper gastrointestinal cancer digestive system carcinoma 16
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004320/ScoringFiles/PGS004320.txt.gz
PGS004445
(disease.D12.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
D12 (Benign neoplasm of colon, rectum, anus and anal canal) colorectal carcinoma 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004445/ScoringFiles/PGS004445.txt.gz
PGS004515
(meta.D12.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
D12 (Benign neoplasm of colon, rectum, anus and anal canal) colorectal carcinoma 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004515/ScoringFiles/PGS004515.txt.gz
PGS004580
(CRC_PRSCS)
PGP000562 |
Youssef O et al. Lab Invest (2024)
Colorectal cancer colorectal carcinoma 1,099,906
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004580/ScoringFiles/PGS004580.txt.gz
PGS004586
(PPS_CRC)
PGP000564 |
Xin J et al. Nat Commun (2024)
Colorectal cancer colorectal carcinoma 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004586/ScoringFiles/PGS004586.txt.gz
PGS004689
(colorectal_cancer)
PGP000596 |
Hu J et al. JNCI Cancer Spectr (2024)
Colorectal cancer colorectal carcinoma 1,077,789
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004689/ScoringFiles/PGS004689.txt.gz
PGS004693
(pancreatic_cancer)
PGP000596 |
Hu J et al. JNCI Cancer Spectr (2024)
Pancreatic cancer exocrine pancreatic carcinoma 6,351,686
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004693/ScoringFiles/PGS004693.txt.gz
PGS004880
(INTERVENE_MegaPRS_Colorectal_cancer)
PGP000618 |
Jermy B et al. Nat Commun (2024)
Colorectal cancer colorectal carcinoma 843,248
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004880/ScoringFiles/PGS004880.txt.gz
PGS004904
(PRS127_CRC)
PGP000636 |
Jiang F et al. Int J Cancer (2023)
Colorectal cancer colorectal carcinoma 127
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004904/ScoringFiles/PGS004904.txt.gz
PGS004912
(PRS183)
PGP000643 |
Tian J et al. Genome Med (2024)
Colorectal neoplasm colorectal carcinoma 183
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004912/ScoringFiles/PGS004912.txt.gz
PGS004945
(PRS87_CRC)
PGP000671 |
Gao P et al. Int J Cancer (2023)
Colorectal cancer colorectal cancer 87
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004945/ScoringFiles/PGS004945.txt.gz
PGS005160
(PRS-ESC)
PGP000711 |
Zhu M et al. PLoS Med (2025)
Esophageal cancer carcinoma of esophagus 11
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005160/ScoringFiles/PGS005160.txt.gz
PGS005161
(PRS-GC)
PGP000711 |
Zhu M et al. PLoS Med (2025)
Stomach cancer gastric cancer 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005161/ScoringFiles/PGS005161.txt.gz
PGS005162
(PRS-CRC)
PGP000711 |
Zhu M et al. PLoS Med (2025)
Colorectal cancer colorectal carcinoma 11,462
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005162/ScoringFiles/PGS005162.txt.gz
PGS005275
(CRC_PRS_JPHC_JPGWAS)
PGP000749 |
Nakano S et al. Cancer Epidemiol (2025)
Colorectal cancer colorectal carcinoma 104,677
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005275/ScoringFiles/PGS005275.txt.gz
PGS005394
(AFR_CRC_PRS_CSx)
PGP000779 |
David E et al. medRxiv (2026)
|Pre
Colorectal carcinoma colorectal carcinoma 139,710
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005394/ScoringFiles/PGS005394.txt.gz
PGS005402
(PRS121)
PGP000783 |
Chen H et al. Genome Med (2026)
Colorectal cancer colorectal cancer 121
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005402/ScoringFiles/PGS005402.txt.gz
PGS012583
(PRS141_CRC)
PGP000817 |
Tian Y et al. Br J Cancer (2024)
Colorectal cancer colorectal cancer 141
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012583/ScoringFiles/PGS012583.txt.gz
PGS012587
(PRS_HNC_OC)
PGP000822 |
Lee YC et al. BMC Med (2024)
Oral cavity cancer oral cavity cancer 972,182
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012587/ScoringFiles/PGS012587.txt.gz
PGS012588
(PRS_HNC_OPC)
PGP000822 |
Lee YC et al. BMC Med (2024)
Oropharynx cancer oropharynx cancer 972,182
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012588/ScoringFiles/PGS012588.txt.gz
PGS018455
(TPMI_145_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Oral cavity cancer oral cavity cancer 1,019
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018455/ScoringFiles/PGS018455.txt.gz
PGS018456
(TPMI_145_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Oral cavity cancer oral cavity cancer 939,827
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018456/ScoringFiles/PGS018456.txt.gz
PGS018457
(TPMI_145_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Oral cavity cancer oral cavity cancer 17,831
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018457/ScoringFiles/PGS018457.txt.gz
PGS018458
(TPMI_145_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Oral cavity cancer oral cavity cancer 983,776
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018458/ScoringFiles/PGS018458.txt.gz
PGS018459
(TPMI_145_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Oral cavity cancer oral cavity cancer 1,006,843
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018459/ScoringFiles/PGS018459.txt.gz
PGS018460
(TPMI_145.2_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Tongue cancer tongue cancer 11
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018460/ScoringFiles/PGS018460.txt.gz
PGS018461
(TPMI_145.2_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Tongue cancer tongue cancer 34,059
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018461/ScoringFiles/PGS018461.txt.gz
PGS018462
(TPMI_145.2_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Tongue cancer tongue cancer 570,182
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018462/ScoringFiles/PGS018462.txt.gz
PGS018463
(TPMI_145.2_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Tongue cancer tongue cancer 983,776
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018463/ScoringFiles/PGS018463.txt.gz
PGS018464
(TPMI_145.2_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Tongue cancer tongue cancer 1,003,968
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018464/ScoringFiles/PGS018464.txt.gz
PGS018470
(TPMI_149.2_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of nasopharynx malignant tumor of nasopharynx 211
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018470/ScoringFiles/PGS018470.txt.gz
PGS018471
(TPMI_149.2_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of nasopharynx malignant tumor of nasopharynx 45,670
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018471/ScoringFiles/PGS018471.txt.gz
PGS018472
(TPMI_149.2_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of nasopharynx malignant tumor of nasopharynx 10,449
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018472/ScoringFiles/PGS018472.txt.gz
PGS018473
(TPMI_149.2_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of nasopharynx malignant tumor of nasopharynx 983,776
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018473/ScoringFiles/PGS018473.txt.gz
PGS018474
(TPMI_149.2_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of nasopharynx malignant tumor of nasopharynx 1,005,312
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018474/ScoringFiles/PGS018474.txt.gz
PGS018475
(TPMI_150_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Esophageal cancer esophageal cancer 5
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018475/ScoringFiles/PGS018475.txt.gz
PGS018476
(TPMI_150_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Esophageal cancer esophageal cancer 255,880
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018476/ScoringFiles/PGS018476.txt.gz
PGS018477
(TPMI_150_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Esophageal cancer esophageal cancer 30,188
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018477/ScoringFiles/PGS018477.txt.gz
PGS018478
(TPMI_150_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Esophageal cancer esophageal cancer 983,792
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018478/ScoringFiles/PGS018478.txt.gz
PGS018479
(TPMI_150_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Esophageal cancer esophageal cancer 1,017,445
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018479/ScoringFiles/PGS018479.txt.gz
PGS018480
(TPMI_151_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of stomach gastric cancer 2
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018480/ScoringFiles/PGS018480.txt.gz
PGS018481
(TPMI_151_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of stomach gastric cancer 130,571
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018481/ScoringFiles/PGS018481.txt.gz
PGS018482
(TPMI_151_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of stomach gastric cancer 488,012
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018482/ScoringFiles/PGS018482.txt.gz
PGS018483
(TPMI_151_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of stomach gastric cancer 983,814
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018483/ScoringFiles/PGS018483.txt.gz
PGS018484
(TPMI_151_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of stomach gastric cancer 991,822
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018484/ScoringFiles/PGS018484.txt.gz
PGS018485
(TPMI_153_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Colorectal cancer colorectal cancer 1,085
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018485/ScoringFiles/PGS018485.txt.gz
PGS018486
(TPMI_153_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Colorectal cancer colorectal cancer 939,846
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018486/ScoringFiles/PGS018486.txt.gz
PGS018487
(TPMI_153_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Colorectal cancer colorectal cancer 51,028
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018487/ScoringFiles/PGS018487.txt.gz
PGS018488
(TPMI_153_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Colorectal cancer colorectal cancer 983,800
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018488/ScoringFiles/PGS018488.txt.gz
PGS018489
(TPMI_153_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Colorectal cancer colorectal cancer 1,005,477
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018489/ScoringFiles/PGS018489.txt.gz
PGS018490
(TPMI_153.2_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Colon cancer malignant colon neoplasm 13,140
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018490/ScoringFiles/PGS018490.txt.gz
PGS018491
(TPMI_153.2_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Colon cancer malignant colon neoplasm 939,847
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018491/ScoringFiles/PGS018491.txt.gz
PGS018492
(TPMI_153.2_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Colon cancer malignant colon neoplasm 32,744
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018492/ScoringFiles/PGS018492.txt.gz
PGS018493
(TPMI_153.2_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Colon cancer malignant colon neoplasm 983,802
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018493/ScoringFiles/PGS018493.txt.gz
PGS018494
(TPMI_153.2_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Colon cancer malignant colon neoplasm 996,354
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018494/ScoringFiles/PGS018494.txt.gz
PGS018500
(TPMI_155_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of liver and intrahepatic bile duct liver cancer 20
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018500/ScoringFiles/PGS018500.txt.gz
PGS018501
(TPMI_155_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of liver and intrahepatic bile duct liver cancer 939,828
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018501/ScoringFiles/PGS018501.txt.gz
PGS018502
(TPMI_155_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of liver and intrahepatic bile duct liver cancer 25,084
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018502/ScoringFiles/PGS018502.txt.gz
PGS018503
(TPMI_155_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of liver and intrahepatic bile duct liver cancer 983,778
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018503/ScoringFiles/PGS018503.txt.gz
PGS018504
(TPMI_155_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Cancer of liver and intrahepatic bile duct liver cancer 977,058
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018504/ScoringFiles/PGS018504.txt.gz
PGS018505
(TPMI_155.1_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Malignant neoplasm of liver primary liver cancer 76
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018505/ScoringFiles/PGS018505.txt.gz
PGS018506
(TPMI_155.1_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Malignant neoplasm of liver primary liver cancer 939,828
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018506/ScoringFiles/PGS018506.txt.gz
PGS018507
(TPMI_155.1_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Malignant neoplasm of liver primary liver cancer 24,458
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018507/ScoringFiles/PGS018507.txt.gz
PGS018508
(TPMI_155.1_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Malignant neoplasm of liver primary liver cancer 983,777
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018508/ScoringFiles/PGS018508.txt.gz
PGS018509
(TPMI_155.1_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Malignant neoplasm of liver primary liver cancer 973,600
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018509/ScoringFiles/PGS018509.txt.gz
PGS018510
(TPMI_158_Lassosum2)
PGP000835 |
Chen HH et al. Nature (2025)
Neoplasm of unspecified nature of digestive system digestive system cancer 26
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018510/ScoringFiles/PGS018510.txt.gz
PGS018511
(TPMI_158_LDpred2)
PGP000835 |
Chen HH et al. Nature (2025)
Neoplasm of unspecified nature of digestive system digestive system cancer 939,880
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018511/ScoringFiles/PGS018511.txt.gz
PGS018512
(TPMI_158_MegaPRS)
PGP000835 |
Chen HH et al. Nature (2025)
Neoplasm of unspecified nature of digestive system digestive system cancer 491,079
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018512/ScoringFiles/PGS018512.txt.gz
PGS018513
(TPMI_158_PRS-CS)
PGP000835 |
Chen HH et al. Nature (2025)
Neoplasm of unspecified nature of digestive system digestive system cancer 983,818
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018513/ScoringFiles/PGS018513.txt.gz
PGS018514
(TPMI_158_SBayesR)
PGP000835 |
Chen HH et al. Nature (2025)
Neoplasm of unspecified nature of digestive system digestive system cancer 1,005,976
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018514/ScoringFiles/PGS018514.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
PPM000139 PGS000055
(PRS_CRC)
PSS000087|
European Ancestry|
61,335 individuals
PGP000040 |
Schmit SL et al. J Natl Cancer Inst (2019)
Reported Trait: Colorectal cancer β€” β€” Familial relative risk explained (%): 11.9 [9.2, 15.5]
PRS percentile threshold for Odds Ratio > 2: 95.7
age, sex, PCs, PC*study β€”
PPM000140 PGS000055
(PRS_CRC)
PSS000086|
East Asian Ancestry|
21,630 individuals
PGP000040 |
Schmit SL et al. J Natl Cancer Inst (2019)
Reported Trait: Colorectal cancer β€” β€” PRS percentile threshold for Odds Ratio > 2: 99.1 age, sex, PCs, PC*study β€”
PPM018698 PGS000055
(PRS_CRC)
PSS011070|
East Asian Ancestry|
332 individuals
PGP000494 |
Ho PJ et al. Elife (2023)
|Ext.
Reported Trait: Colorectal cancer β€” AUROC: 0.65 [0.62, 0.69] Hazard ratio (HR, high vs low tertile): 2.27 [1.6, 3.21] age at recruitment β€”
PPM000194 PGS000074
(CC_Colorectal)
PSS000113|
European Ancestry|
416,249 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Colorectal cancer OR: 1.37 [1.33, 1.4] β€” β€” Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002040 PGS000074
(CC_Colorectal)
PSS001013|
European Ancestry|
393,723 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident colorectal cancer HR: 1.32 [1.27, 1.37] AUROC: 0.704
C-index: 0.704 (0.006)
β€” Age at assessment, sex, family history of bowel cancer, genotyping array, PCs(1-15), wasit to hip ratio, cigarette pack years, frequency of processed meat intake (<1 per week vs. β‰₯1 per week), moderate and/or strenuous physical activity (days per week), alcohol intake C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM017164 PGS000074
(CC_Colorectal)
PSS010144|
European Ancestry|
2,150 individuals
PGP000443 |
Byrne S et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Colorectal cancer HR: 1.36 [1.31, 1.42] β€” β€” 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 β€”
PPM000201 PGS000081
(CC_Oral)
PSS000120|
European Ancestry|
411,577 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Oral cavity and pharyngeal cancers OR: 1.08 [1.02, 1.14] β€” β€” Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002047 PGS000081
(CC_Oral)
PSS001020|
European Ancestry|
391,479 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident oral cavity and pharyngeal cancer HR: 1.11 [1.01, 1.21] AUROC: 0.702
C-index: 0.686 (0.015)
β€” Age at assessment, sex, genotyping array, PCs(1-15), weekly alcohol intake, cigarettes per day, years of smoking, smoing status (never vs. former vs. current) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM017173 PGS000081
(CC_Oral)
PSS010150|
European Ancestry|
415 individuals
PGP000443 |
Byrne S et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Oral cavity and pharyngeal cancers HR: 1.03 [0.94, 1.14] β€” β€” 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 β€”
PPM000203 PGS000083
(CC_Pancreas)
PSS000122|
European Ancestry|
411,019 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Pancreatic cancer OR: 1.44 [1.33, 1.55] β€” β€” Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002049 PGS000083
(CC_Pancreas)
PSS001022|
European Ancestry|
391,491 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident pancreatic cancer HR: 1.49 [1.36, 1.62] AUROC: 0.745
C-index: 0.742 (0.012)
β€” Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM017171 PGS000083
(CC_Pancreas)
PSS010154|
European Ancestry|
451 individuals
PGP000443 |
Byrne S et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Pancreatic cancer HR: 1.51 [1.38, 1.66] β€” β€” 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 β€”
PPM000439 PGS000146
(CRC_GRS_27)
PSS000252|
European Ancestry|
3,269 individuals
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Reported Trait: Distal colon cancer OR: 1.08 [1.06, 1.11] β€” β€” Study, age, endoscopy, family history β€”
PPM000438 PGS000146
(CRC_GRS_27)
PSS000254|
European Ancestry|
3,292 individuals
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Reported Trait: Proximal colon cancer OR: 1.07 [1.04, 1.1] β€” β€” Study, age, endoscopy, family history β€”
PPM000445 PGS000146
(CRC_GRS_27)
PSS000257|
European Ancestry|
733 individuals
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Reported Trait: Colorectal cancer β€” AUROC: 0.56 [0.51, 0.61] β€” Age, endoscopy, family history β€”
PPM000444 PGS000146
(CRC_GRS_27)
PSS000258|
European Ancestry|
1,002 individuals
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Reported Trait: Colorectal cancer β€” AUROC: 0.59 [0.54, 0.64] β€” Age, endoscopy, family history β€”
PPM000443 PGS000146
(CRC_GRS_27)
PSS000255|
European Ancestry|
4,573 individuals
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Reported Trait: Rectal cancer OR: 1.12 [1.08, 1.15] β€” β€” Study, age, endoscopy, family history β€”
PPM000442 PGS000146
(CRC_GRS_27)
PSS000251|
European Ancestry|
4,886 individuals
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Reported Trait: Distal colon cancer OR: 1.08 [1.05, 1.1] β€” β€” Study, age, endoscopy, family history β€”
PPM000441 PGS000146
(CRC_GRS_27)
PSS000253|
European Ancestry|
5,530 individuals
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Reported Trait: Proximal colon cancer OR: 1.06 [1.03, 1.08] β€” β€” Study, age, endoscopy, family history β€”
PPM000440 PGS000146
(CRC_GRS_27)
PSS000256|
European Ancestry|
3,167 individuals
PGP000069 |
Hsu L et al. Gastroenterology (2015)
Reported Trait: Rectal cancer OR: 1.06 [1.03, 1.09] β€” β€” Study, age, endoscopy, family history β€”
PPM000448 PGS000147
(CRC21)
PSS000259|
European Ancestry|
4,080 individuals
PGP000070 |
IbÑñez-Sanz G et al. Sci Rep (2017)
Reported Trait: Colorectal cancer β€” AUROC: 0.63 [0.6, 0.66] Odds Ratio (OR; per allele): 1.07 [1.04, 1.1] environmental risk factors ( alcohol consumption, obesity, physical activity, red meat and vegetable consumption, nonsteroidal anti-inflammatory drug use), family history β€”
PPM000447 PGS000147
(CRC21)
PSS000259|
European Ancestry|
4,080 individuals
PGP000070 |
IbÑñez-Sanz G et al. Sci Rep (2017)
Reported Trait: Rectal cancer β€” β€” Odds Ratio (OR; per allele): 1.1 [1.06, 1.15] environmental risk factors ( alcohol consumption, obesity, physical activity, red meat and vegetable consumption, nonsteroidal anti-inflammatory drug use), family history β€”
PPM000446 PGS000147
(CRC21)
PSS000259|
European Ancestry|
4,080 individuals
PGP000070 |
IbÑñez-Sanz G et al. Sci Rep (2017)
Reported Trait: Colon cancer β€” β€” Odds Ratio (OR; per allele): 1.06 [1.03, 1.09] environmental risk factors ( alcohol consumption, obesity, physical activity, red meat and vegetable consumption, nonsteroidal anti-inflammatory drug use), family history β€”
PPM000449 PGS000147
(CRC21)
PSS000259|
European Ancestry|
4,080 individuals
PGP000070 |
IbÑñez-Sanz G et al. Sci Rep (2017)
Reported Trait: Colorectal cancer β€” AUROC: 0.56 [0.54, 0.58] β€” β€” β€”
PPM000452 PGS000148
(CRC63)
PSS000260|
European Ancestry|
5,500 individuals
PGP000071 |
Jeon J et al. Gastroenterology (2018)
Reported Trait: Colorectal cancer β€” AUROC: 0.59 [0.58, 0.6] β€” age, family history, study, endoscopy history Risk prediction using Model III (Family History & G-score)
PPM000451 PGS000148
(CRC63)
PSS000261|
European Ancestry|
4,666 individuals
PGP000071 |
Jeon J et al. Gastroenterology (2018)
Reported Trait: Colorectal cancer β€” AUROC: 0.63 [0.62, 0.64] β€” age, family history, study, endoscopy history, E-score (height, body mass index, education, history of type 2 diabetes mellitus, smoking status, alcohol consumption, regular aspirin use, regular NSAIDs use, smoking pack-years, dietary factors, total-energy, physical activity) Risk prediction using Model IV (Family history & E-score & G-score)
PPM000450 PGS000148
(CRC63)
PSS000261|
European Ancestry|
4,666 individuals
PGP000071 |
Jeon J et al. Gastroenterology (2018)
Reported Trait: Colorectal cancer β€” AUROC: 0.59 [0.58, 0.6] β€” age, family history, study, endoscopy history Risk prediction using Model III (Family History & G-score)
PPM000453 PGS000148
(CRC63)
PSS000260|
European Ancestry|
5,500 individuals
PGP000071 |
Jeon J et al. Gastroenterology (2018)
Reported Trait: Colorectal cancer β€” AUROC: 0.62 [0.61, 0.63] β€” age, family history, study, endoscopy history, E-score (height, body mass index, education, history of type 2 diabetes mellitus, smoking status, alcohol consumption, regular aspirin use, regular NSAIDs use, regular use of post-menopausal hormones, smoking pack-years, dietary factors, total-energy, physical activity) Risk prediction using Model IV (Family history & E-score & G-score)
PPM000464 PGS000149
(CRC41)
PSS000263|
European Ancestry|
286,877 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer in individuals with a family history β€” C-index: 0.68 [0.67, 0.7] β€” Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) Fully recalibrated model
PPM000463 PGS000149
(CRC41)
PSS000263|
European Ancestry|
286,877 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer β€” C-index: 0.68 [0.67, 0.7] β€” Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) Fully recalibrated model
PPM000459 PGS000149
(CRC41)
PSS000262|
European Ancestry|
361,543 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer in individuals without a family history β€” C-index: 0.66 [0.62, 0.69] β€” Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) Fully recalibrated model
PPM000458 PGS000149
(CRC41)
PSS000262|
European Ancestry|
361,543 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer in individuals with a family history β€” C-index: 0.69 [0.67, 0.7] β€” Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) Fully recalibrated model
PPM000457 PGS000149
(CRC41)
PSS000262|
European Ancestry|
361,543 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer β€” C-index: 0.68 [0.67, 0.7] β€” Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) Fully recalibrated model
PPM000465 PGS000149
(CRC41)
PSS000263|
European Ancestry|
286,877 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer in individuals without a family history β€” C-index: 0.67 [0.63, 0.71] β€” Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) Fully recalibrated model
PPM000462 PGS000149
(CRC41)
PSS000263|
European Ancestry|
286,877 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer in individuals without a family history β€” C-index: 0.57 [0.53, 0.6] β€” β€” β€”
PPM000461 PGS000149
(CRC41)
PSS000263|
European Ancestry|
286,877 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer in individuals with a family history β€” C-index: 0.56 [0.55, 0.58] β€” β€” β€”
PPM000460 PGS000149
(CRC41)
PSS000263|
European Ancestry|
286,877 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer β€” C-index: 0.57 [0.55, 0.58] β€” β€” β€”
PPM000456 PGS000149
(CRC41)
PSS000262|
European Ancestry|
361,543 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer in individuals without a family history β€” C-index: 0.55 [0.52, 0.59] β€” β€” β€”
PPM000455 PGS000149
(CRC41)
PSS000262|
European Ancestry|
361,543 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer in individuals with a family history β€” C-index: 0.57 [0.55, 0.58] β€” β€” β€”
PPM000454 PGS000149
(CRC41)
PSS000262|
European Ancestry|
361,543 individuals
PGP000072 |
Smith T et al. Br J Cancer (2018)
Reported Trait: Incident colorectal cancer β€” C-index: 0.56 [0.55, 0.58] β€” β€” β€”
PPM000469 PGS000150
(GRS48)
PSS000269|
European Ancestry|
749 individuals
PGP000073 |
Weigl K et al. Gastroenterology (2018)
Reported Trait: advanced neoplasm (colorectal cancer) β€” C-index: 0.615 Odds Ratio (OR; highest vs. lowest tertile of GRS): 2.74 [1.84, 4.09] sex, age, previous colonoscopy, physical activity β€”
PPM000468 PGS000150
(GRS48)
PSS000269|
European Ancestry|
749 individuals
PGP000073 |
Weigl K et al. Gastroenterology (2018)
Reported Trait: advanced neoplasm (colorectal cancer) β€” C-index: 0.599 Odds Ratio (OR; highest vs. lowest tertile of GRS): 2.64 [1.77, 3.92] sex, age β€”
PPM000467 PGS000150
(GRS48)
PSS000268|
European Ancestry|
1,043 individuals
PGP000073 |
Weigl K et al. Gastroenterology (2018)
Reported Trait: non-advanced adenoma (colorectal) β€” C-index: 0.596 Odds Ratio (OR; highest vs. lowest tertile of GRS): 1.05 [0.7, 1.55] sex, age, previous colonoscopy, physical activity β€”
PPM000466 PGS000150
(GRS48)
PSS000268|
European Ancestry|
1,043 individuals
PGP000073 |
Weigl K et al. Gastroenterology (2018)
Reported Trait: non-advanced adenoma (colorectal) β€” C-index: 0.584 Odds Ratio (OR; highest vs. lowest tertile of GRS): 1.04 [0.7, 1.55] sex, age β€”
PPM000471 PGS000151
(SC_GRS)
PSS000271|
East Asian Ancestry|
3,523 individuals
PGP000074 |
Xin J et al. Gene (2018)
Reported Trait: Colorectal cancer β€” AUROC: 0.607 [0.581, 0.633] β€” smoking status β€”
PPM000470 PGS000151
(SC_GRS)
PSS000271|
East Asian Ancestry|
3,523 individuals
PGP000074 |
Xin J et al. Gene (2018)
Reported Trait: Colorectal cancer β€” AUROC: 0.6 [0.579, 0.622] β€” β€” β€”
PPM000474 PGS000154
(cGRS_Colorectal)
PSS000274|
European Ancestry|
13,814 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Colorectal cancer β€” β€” Mean realative risk: 1.08 [1.04, 1.12]
Wilcoxon test (case vs. control) p-value: 8.29e-06
β€” β€”
PPM000485 PGS000154
(cGRS_Colorectal)
PSS000274|
European Ancestry|
13,814 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Colorectal cancer β€” β€” Odds Ratio (OR; high vs. average risk groups): 1.18 [0.87, 1.61] β€” β€”
PPM000490 PGS000159
(cGRS_Pancreatic)
PSS000279|
European Ancestry|
13,590 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Pancreatic cancer β€” β€” Odds Ratio (OR; high vs. average risk groups): 1.67 [1.1, 2.53] β€” β€”
PPM000479 PGS000159
(cGRS_Pancreatic)
PSS000279|
European Ancestry|
13,590 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Pancreatic cancer β€” β€” Mean realative risk: 1.13 [1.07, 1.18]
Wilcoxon test (case vs. control) p-value: 0.00015
β€” β€”
PPM001042 PGS000357
(PRSWEB_PHECODE145_C3-LIP-ORAL-PHARYNX_PT_MGI_20200608)
PSS000535|
European Ancestry|
6,328 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of mouth OR: 1.111 [1.021, 1.208]
Ξ²: 0.105 (0.0427)
AUROC: 0.519 [0.498, 0.542] Nagelkerke's Pseudo-RΒ²: 0.0021
Brier score: 0.0829
Odds Ratio (OR, top 1% vs. Rest): 1.26 [0.585, 2.73]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE145_C3-LIP-ORAL-PHARYNX_PT_MGI_20200608
PPM001043 PGS000358
(PRSWEB_PHECODE145_UKBB-SAIGE-HRC-X145_PRS-CS_MGI_20200608)
PSS000535|
European Ancestry|
6,328 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of mouth OR: 1.116 [1.024, 1.216]
Ξ²: 0.11 (0.0438)
AUROC: 0.528 [0.502, 0.552] Nagelkerke's Pseudo-RΒ²: 0.00207
Brier score: 0.0829
Odds Ratio (OR, top 1% vs. Rest): 1.63 [0.812, 3.26]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE145_UKBB-SAIGE-HRC-X145_PRS-CS_MGI_20200608
PPM001048 PGS000363
(PRSWEB_PHECODE150_C15_PRS-CS_MGI_20200608)
PSS000537|
European Ancestry|
2,064 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of esophagus OR: 1.249 [1.075, 1.45]
Ξ²: 0.222 (0.0762)
AUROC: 0.564 [0.525, 0.604] Nagelkerke's Pseudo-RΒ²: 0.0089
Brier score: 0.0825
Odds Ratio (OR, top 1% vs. Rest): 2.84 [1.07, 7.54]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE150_C15_PRS-CS_MGI_20200608
PPM001049 PGS000364
(PRSWEB_PHECODE150_C15_LASSOSUM_MGI_20200608)
PSS000537|
European Ancestry|
2,064 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of esophagus OR: 1.203 [1.041, 1.391]
Ξ²: 0.185 (0.074)
AUROC: 0.551 [0.51, 0.588] Nagelkerke's Pseudo-RΒ²: 0.00648
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 1.81 [0.56, 5.82]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE150_C15_LASSOSUM_MGI_20200608
PPM001050 PGS000365
(PRSWEB_PHECODE150_C3-OESOPHAGUS_PRS-CS_MGI_20200608)
PSS000537|
European Ancestry|
2,064 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of esophagus OR: 1.187 [1.021, 1.38]
Ξ²: 0.171 (0.0769)
AUROC: 0.553 [0.514, 0.596] Nagelkerke's Pseudo-RΒ²: 0.00521
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 1.27 [0.329, 4.9]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE150_C3-OESOPHAGUS_PRS-CS_MGI_20200608
PPM001051 PGS000366
(PRSWEB_PHECODE150_UKBB-SAIGE-HRC-X150_PRS-CS_MGI_20200608)
PSS000537|
European Ancestry|
2,064 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Cancer of esophagus OR: 1.24 [1.067, 1.441]
Ξ²: 0.215 (0.0766)
AUROC: 0.564 [0.522, 0.605] Nagelkerke's Pseudo-RΒ²: 0.00839
Brier score: 0.0825
Odds Ratio (OR, top 1% vs. Rest): 1.28 [0.332, 4.95]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE150_UKBB-SAIGE-HRC-X150_PRS-CS_MGI_20200608
PPM001052 PGS000367
(PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_MGI_20200608)
PSS000540|
European Ancestry|
6,633 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.198 [1.102, 1.302]
Ξ²: 0.181 (0.0425)
AUROC: 0.55 [0.522, 0.574] Nagelkerke's Pseudo-RΒ²: 0.00586
Brier score: 0.0828
Odds Ratio (OR, top 1% vs. Rest): 2.2 [1.21, 4.0]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_MGI_20200608
PPM001053 PGS000368
(PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_UKB_20200608)
PSS000564|
European Ancestry|
24,996 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.516 [1.451, 1.585]
Ξ²: 0.416 (0.0225)
AUROC: 0.612 [0.6, 0.625] Nagelkerke's Pseudo-RΒ²: 0.0304
Brier score: 0.0813
Odds Ratio (OR, top 1% vs. Rest): 3.85 [2.99, 4.96]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_UKB_20200608
PPM001054 PGS000369
(PRSWEB_PHECODE153_CRC-Huyghe_PT_MGI_20200608)
PSS000540|
European Ancestry|
6,633 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.214 [1.117, 1.32]
Ξ²: 0.194 (0.0426)
AUROC: 0.553 [0.525, 0.577] Nagelkerke's Pseudo-RΒ²: 0.00671
Brier score: 0.0828
Odds Ratio (OR, top 1% vs. Rest): 3.04 [1.79, 5.17]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_CRC-Huyghe_PT_MGI_20200608
PPM012887 PGS000370
(PRSWEB_PHECODE153_CRC-Huyghe_PT_UKB_20200608)
PSS009593|
Ancestry Not Reported|
9,666 individuals
PGP000292 |
Saad M et al. Lancet Oncol (2022)
|Ext.
Reported Trait: Colorectal cancer OR: 1.543 [1.411, 1.686] AUROC: 0.621 [0.597, 0.645] β€” β€” β€”
PPM001055 PGS000370
(PRSWEB_PHECODE153_CRC-Huyghe_PT_UKB_20200608)
PSS000564|
European Ancestry|
24,996 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.547 [1.48, 1.617]
Ξ²: 0.436 (0.0226)
AUROC: 0.617 [0.605, 0.63] Nagelkerke's Pseudo-RΒ²: 0.0332
Brier score: 0.0812
Odds Ratio (OR, top 1% vs. Rest): 4.0 [3.11, 5.13]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_CRC-Huyghe_PT_UKB_20200608
PPM001056 PGS000371
(PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_P_5e-08_UKB_20200608)
PSS000564|
European Ancestry|
24,996 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.254 [1.202, 1.309]
Ξ²: 0.226 (0.0217)
AUROC: 0.561 [0.548, 0.573] Nagelkerke's Pseudo-RΒ²: 0.00946
Brier score: 0.0822
Odds Ratio (OR, top 1% vs. Rest): 1.79 [1.28, 2.51]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_P_5e-08_UKB_20200608
PPM001057 PGS000372
(PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_PT_UKB_20200608)
PSS000564|
European Ancestry|
24,996 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.279 [1.225, 1.335]
Ξ²: 0.246 (0.0218)
AUROC: 0.565 [0.551, 0.577] Nagelkerke's Pseudo-RΒ²: 0.0111
Brier score: 0.0822
Odds Ratio (OR, top 1% vs. Rest): 2.1 [1.53, 2.89]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_PT_UKB_20200608
PPM001058 PGS000373
(PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PRS-CS_MGI_20200608)
PSS000540|
European Ancestry|
6,633 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.189 [1.093, 1.293]
Ξ²: 0.173 (0.0428)
AUROC: 0.548 [0.523, 0.572] Nagelkerke's Pseudo-RΒ²: 0.00529
Brier score: 0.0829
Odds Ratio (OR, top 1% vs. Rest): 1.71 [0.882, 3.33]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PRS-CS_MGI_20200608
PPM001059 PGS000374
(PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PT_MGI_20200608)
PSS000540|
European Ancestry|
6,633 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.091 [1.004, 1.185]
Ξ²: 0.0872 (0.0423)
AUROC: 0.517 [0.493, 0.541] Nagelkerke's Pseudo-RΒ²: 0.00134
Brier score: 0.083
Odds Ratio (OR, top 1% vs. Rest): 1.88 [0.99, 3.55]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PT_MGI_20200608
PPM001060 PGS000375
(PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_LASSOSUM_MGI_20200608)
PSS000540|
European Ancestry|
6,633 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer OR: 1.113 [1.024, 1.21]
Ξ²: 0.107 (0.0425)
AUROC: 0.53 [0.503, 0.555] Nagelkerke's Pseudo-RΒ²: 0.00205
Brier score: 0.083
Odds Ratio (OR, top 1% vs. Rest): 2.76 [1.59, 4.81]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_LASSOSUM_MGI_20200608
PPM001061 PGS000376
(PRSWEB_PHECODE153.2_C18_PRS-CS_MGI_20200608)
PSS000538|
European Ancestry|
5,031 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colon cancer OR: 1.177 [1.069, 1.297]
Ξ²: 0.163 (0.0491)
AUROC: 0.547 [0.518, 0.576] Nagelkerke's Pseudo-RΒ²: 0.0046
Brier score: 0.0832
Odds Ratio (OR, top 1% vs. Rest): 1.65 [0.753, 3.61]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_C18_PRS-CS_MGI_20200608
PPM001062 PGS000377
(PRSWEB_PHECODE153.2_C18_LASSOSUM_MGI_20200608)
PSS000538|
European Ancestry|
5,031 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colon cancer OR: 1.174 [1.066, 1.292]
Ξ²: 0.16 (0.049)
AUROC: 0.545 [0.518, 0.574] Nagelkerke's Pseudo-RΒ²: 0.00441
Brier score: 0.0831
Odds Ratio (OR, top 1% vs. Rest): 1.4 [0.607, 3.22]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_C18_LASSOSUM_MGI_20200608
PPM001063 PGS000378
(PRSWEB_PHECODE153.2_C3-COLON_PRS-CS_MGI_20200608)
PSS000538|
European Ancestry|
5,031 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colon cancer OR: 1.141 [1.038, 1.254]
Ξ²: 0.132 (0.0484)
AUROC: 0.536 [0.509, 0.565] Nagelkerke's Pseudo-RΒ²: 0.00301
Brier score: 0.0832
Odds Ratio (OR, top 1% vs. Rest): 1.82 [0.867, 3.84]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_C3-COLON_PRS-CS_MGI_20200608
PPM001064 PGS000379
(PRSWEB_PHECODE153.2_C3-COLON_LASSOSUM_MGI_20200608)
PSS000538|
European Ancestry|
5,031 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colon cancer OR: 1.143 [1.038, 1.258]
Ξ²: 0.134 (0.049)
AUROC: 0.536 [0.51, 0.567] Nagelkerke's Pseudo-RΒ²: 0.00302
Brier score: 0.0832
Odds Ratio (OR, top 1% vs. Rest): 0.757 [0.252, 2.28]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_C3-COLON_LASSOSUM_MGI_20200608
PPM001065 PGS000380
(PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PRS-CS_MGI_20200608)
PSS000538|
European Ancestry|
5,031 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colon cancer OR: 1.324 [1.203, 1.457]
Ξ²: 0.281 (0.0489)
AUROC: 0.569 [0.539, 0.599] Nagelkerke's Pseudo-RΒ²: 0.0138
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 3.85 [2.19, 6.77]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PRS-CS_MGI_20200608
PPM001066 PGS000381
(PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PT_MGI_20200608)
PSS000538|
European Ancestry|
5,031 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colon cancer OR: 1.212 [1.105, 1.33]
Ξ²: 0.193 (0.0472)
AUROC: 0.55 [0.522, 0.577] Nagelkerke's Pseudo-RΒ²: 0.00703
Brier score: 0.0831
Odds Ratio (OR, top 1% vs. Rest): 1.6 [0.733, 3.51]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PT_MGI_20200608
PPM001067 PGS000382
(PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_LASSOSUM_MGI_20200608)
PSS000538|
European Ancestry|
5,031 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Colon cancer OR: 1.247 [1.134, 1.371]
Ξ²: 0.221 (0.0483)
AUROC: 0.567 [0.54, 0.594] Nagelkerke's Pseudo-RΒ²: 0.00899
Brier score: 0.083
Odds Ratio (OR, top 1% vs. Rest): 1.17 [0.477, 2.87]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_LASSOSUM_MGI_20200608
PPM001068 PGS000383
(PRSWEB_PHECODE153.3_C19_PRS-CS_MGI_20200608)
PSS000539|
European Ancestry|
3,557 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of rectum, rectosigmoid junction, and anus OR: 1.126 [1.005, 1.262]
Ξ²: 0.119 (0.0579)
AUROC: 0.533 [0.5, 0.567] Nagelkerke's Pseudo-RΒ²: 0.00257
Brier score: 0.0829
Odds Ratio (OR, top 1% vs. Rest): 1.34 [0.491, 3.65]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.3_C19_PRS-CS_MGI_20200608
PPM001069 PGS000384
(PRSWEB_PHECODE153.3_C3-RECTUM_PRS-CS_MGI_20200608)
PSS000539|
European Ancestry|
3,557 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of rectum, rectosigmoid junction, and anus OR: 1.122 [1.001, 1.257]
Ξ²: 0.115 (0.058)
AUROC: 0.531 [0.495, 0.563] Nagelkerke's Pseudo-RΒ²: 0.00251
Brier score: 0.0829
Odds Ratio (OR, top 1% vs. Rest): 1.02 [0.334, 3.14]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.3_C3-RECTUM_PRS-CS_MGI_20200608
PPM001070 PGS000385
(PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608)
PSS000565|
European Ancestry|
3,591 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Pancreatic cancer OR: 1.384 [1.235, 1.552]
Ξ²: 0.325 (0.0583)
AUROC: 0.589 [0.559, 0.622] Nagelkerke's Pseudo-RΒ²: 0.019
Brier score: 0.082
Odds Ratio (OR, top 1% vs. Rest): 2.58 [1.19, 5.57]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608
PPM001071 PGS000386
(PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608)
PSS000565|
European Ancestry|
3,591 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Pancreatic cancer OR: 1.342 [1.199, 1.503]
Ξ²: 0.294 (0.0577)
AUROC: 0.579 [0.548, 0.611] Nagelkerke's Pseudo-RΒ²: 0.0157
Brier score: 0.0822
Odds Ratio (OR, top 1% vs. Rest): 1.64 [0.655, 4.12]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608
PPM001367 PGS000663
(wGRS22)
PSS000598|
European Ancestry|
1,591 individuals
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Reported Trait: Pancreatic cancer OR: 1.37 [1.23, 1.53] β€” β€” β€” Cross validation approach-testing sample = 20%
PPM001368 PGS000663
(wGRS22)
PSS000597|
European Ancestry|
956 individuals
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Reported Trait: Pancreatic cancer (0-10 years of follow-up) OR: 1.46 [1.27, 1.68] β€” β€” β€” Cross validation approach-testing sample = 20%
PPM001369 PGS000663
(wGRS22)
PSS000598|
European Ancestry|
1,591 individuals
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Reported Trait: Pancreatic cancer OR: 1.37 [1.22, 1.53] AUROC: 0.65 β€” matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status Cross validation approach-testing sample = 20%
PPM001370 PGS000663
(wGRS22)
PSS000597|
European Ancestry|
956 individuals
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Reported Trait: Pancreatic cancer (0-10 years of follow-up) OR: 1.44 [1.25, 1.67] AUROC: 0.67 β€” matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status Cross validation approach-testing sample = 20%
PPM022400 PGS000663
(wGRS22)
PSS011940|
East Asian Ancestry|
100,219 individuals
PGP000711 |
Zhu M et al. PLoS Med (2025)
|Ext.
Reported Trait: Pancreatic Cancer HR: 1.28 [1.1, 1.48]
Ξ²: 0.246
C-index: 0.586 β€” Age,Sex (if applicable),Region,Top 10 genetic ancestry principal components The HR and C-index values were derived from Cox proportional hazards regression models.
PPM001648 PGS000720
(PRS_Colorectal)
PSS000855|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident colorectal cancer β€” AUROC: 0.609 [0.598, 0.62] β€” Genotyping array β€”
PPM001649 PGS000720
(PRS_Colorectal)
PSS000855|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident colorectal cancer β€” AUROC: 0.613 [0.602, 0.624] β€” family history of cancer (in first-degree relatives), genotyping array β€”
PPM001655 PGS000725
(PRS_Pancreas)
PSS000859|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident Pancreatic cancer β€” AUROC: 0.639 [0.613, 0.664] β€” Genotyping array β€”
PPM001740 PGS000734
(PRS95_CRC)
PSS000894|
European Ancestry|
26,938 individuals
PGP000142 |
Archambault AN et al. Gastroenterology (2019)
Reported Trait: Early-onset colorectal cancer HR: 1.73 [1.17, 2.56] β€” β€” Sex, PCs β€”
PPM001741 PGS000734
(PRS95_CRC)
PSS000893|
European Ancestry|
67,792 individuals
PGP000142 |
Archambault AN et al. Gastroenterology (2019)
Reported Trait: Late-onset colorectal cancer HR: 1.43 [1.34, 1.51] β€” β€” Sex, PCs β€”
PPM001742 PGS000734
(PRS95_CRC)
PSS000896|
European Ancestry|
24,472 individuals
PGP000142 |
Archambault AN et al. Gastroenterology (2019)
Reported Trait: Early-onset colorectal cancer in individuals with no family history of colorectal cancer HR: 1.76 [1.11, 2.78] β€” β€” Sex, PCs β€”
PPM001743 PGS000734
(PRS95_CRC)
PSS000895|
European Ancestry|
61,129 individuals
PGP000142 |
Archambault AN et al. Gastroenterology (2019)
Reported Trait: Late-onset colorectal cancer in individuals with no family history of colorectal cancer HR: 1.42 [1.33, 1.52] β€” β€” Sex, PCs β€”
PPM001744 PGS000734
(PRS95_CRC)
PSS000897|
European Ancestry|
6,668 individuals
PGP000142 |
Archambault AN et al. Gastroenterology (2019)
Reported Trait: Late-onset colorectal cancer in individuals with a family history of colorectal cancer HR: 1.34 [1.17, 1.54] β€” β€” Sex, PCs β€”
PPM018699 PGS000734
(PRS95_CRC)
PSS011071|
East Asian Ancestry|
409 individuals
PGP000494 |
Ho PJ et al. Elife (2023)
|Ext.
Reported Trait: Colorectal cancer β€” AUROC: 0.66 [0.63, 0.69] Hazard ratio (HR, high vs low tertile): 3.25 [2.24, 4.73] age at recruitment β€”
PPM001961 PGS000765
(PRS_CRC95)
PSS000981|
Multi-ancestry (including European)|
48,807 individuals
PGP000171 |
Fahed AC et al. Nat Commun (2020)
|Ext.
Reported Trait: Prevalent colorectal cancer OR: 1.65 [1.48, 1.85] β€” β€” Age, sex, PCs (1-4) β€”
PPM015518 PGS000765
(PRS_CRC95)
PSS009971|
Multi-ancestry (including European)|
36,422 individuals
PGP000381 |
Hao L et al. Nat Med (2022)
|Ext.
Reported Trait: Colorectal cancer OR: 2.37 [1.74, 3.24] β€” β€” 4 genetic PCs β€”
PPM018551 PGS000765
(PRS_CRC95)
PSS011020|
Multi-ancestry (including European)|
163,516 individuals
PGP000482 |
Hassanin E et al. BMC Med Genomics (2023)
|Ext.
Reported Trait: Colorectal cancer with pathogenic variant carriers β€” AUROC: 0.693 [0.66, 0.71]
C-index: 0.646
Odds ratio (OR, high vs low tertile): 17.5 [9.0, 32.4] β€” β€”
PPM018552 PGS000765
(PRS_CRC95)
PSS011020|
Multi-ancestry (including European)|
163,516 individuals
PGP000482 |
Hassanin E et al. BMC Med Genomics (2023)
|Ext.
Reported Trait: Incident colorectal cancer with pathogenic variant carriers β€” β€” Odds ratio (OR, high vs low tertile): 7.0 [2.04, 23.7] β€” β€”
PPM018553 PGS000765
(PRS_CRC95)
PSS011020|
Multi-ancestry (including European)|
163,516 individuals
PGP000482 |
Hassanin E et al. BMC Med Genomics (2023)
|Ext.
Reported Trait: Colorectal cancer with family history of cancer β€” AUROC: 0.698 [0.67, 0.72]
C-index: 0.652
Odds ratio (OR, high vs low tertile): 3.1 [2.6, 3.8] β€” β€”
PPM018554 PGS000765
(PRS_CRC95)
PSS011020|
Multi-ancestry (including European)|
163,516 individuals
PGP000482 |
Hassanin E et al. BMC Med Genomics (2023)
|Ext.
Reported Trait: Colorectal cancer with family history of cancer and pathogenic variant carriers β€” AUROC: 0.704 [0.68, 0.73]
C-index: 0.657
Odds ratio (OR, high vs low tertile): 39.9 [12.69, 125.41] β€” β€”
PPM018555 PGS000765
(PRS_CRC95)
PSS011020|
Multi-ancestry (including European)|
163,516 individuals
PGP000482 |
Hassanin E et al. BMC Med Genomics (2023)
|Ext.
Reported Trait: Colorectal cancer β€” AUROC: 0.688 [0.66, 0.71]
C-index: 0.64
β€” β€” β€”
PPM020769 PGS000765
(PRS_CRC95)
PSS011399|
European Ancestry|
1,428 individuals
PGP000583 |
DueΓ±as N et al. J Med Genet (2023)
|Ext.
Reported Trait: Colorectal cancer or advanced adenoma in individuals with Lynch syndrome HR: 1.019 [1.005, 1.032] β€” β€” Sex, birth cohort, other Lynch syndrome-related cancers β€”
PPM020782 PGS000765
(PRS_CRC95)
PSS011409|
European Ancestry|
2,059 individuals
PGP000589 |
Mur P et al. Cancers (Basel) (2021)
|Ext.
Reported Trait: Familial / early-onset colorectal cancer OR: 1.12 [1.09, 1.14] β€” β€” Age, sex Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded
PPM020783 PGS000765
(PRS_CRC95)
PSS011410|
European Ancestry|
2,719 individuals
PGP000589 |
Mur P et al. Cancers (Basel) (2021)
|Ext.
Reported Trait: Sporadic colorectal cancer OR: 1.08 [1.06, 1.09] β€” β€” Age, sex Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded
PPM020784 PGS000765
(PRS_CRC95)
PSS011409|
European Ancestry|
2,059 individuals
PGP000589 |
Mur P et al. Cancers (Basel) (2021)
|Ext.
Reported Trait: Familial / early-onset colorectal cancer β€” AUROC: 0.833 RΒ²: 0.373 Age at cancer diagnosis, sex Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded
PPM020785 PGS000765
(PRS_CRC95)
PSS011409|
European Ancestry|
2,059 individuals
PGP000589 |
Mur P et al. Cancers (Basel) (2021)
|Ext.
Reported Trait: Familial / early-onset colorectal cancer β€” AUROC: 0.905 RΒ²: 0.598 Age at cancer diagnosis, sex, family history of colorectal cancer Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded. Only 405 cases and 1,094 controls were included in this analysis
PPM002056 PGS000785
(CC_Colorectal_IV)
PSS001013|
European Ancestry|
393,723 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident colorectal cancer HR: 1.48 [1.43, 1.54] AUROC: 0.716
C-index: 0.716 (0.006)
RΒ²: 0.345 Age at assessment, sex, family history of bowel cancer, genotyping array, PCs(1-15), wasit to hip ratio, cigarette pack years, frequency of processed meat intake (<1 per week vs. β‰₯1 per week), moderate and/or strenuous physical activity (days per week), alcohol intake C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002071 PGS000785
(CC_Colorectal_IV)
PSS001013|
European Ancestry|
393,723 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident colorectal cancer β€” AUROC: 0.708
C-index: 0.708 (0.006)
RΒ²: 0.319 Age, sex, genotyping array, PCs(1-15) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002063 PGS000792
(CC_Oral_IV)
PSS001020|
European Ancestry|
391,479 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident oral cavity and pharyngeal cancer HR: 1.12 [1.02, 1.23] AUROC: 0.702
C-index: 0.687 (0.015)
RΒ²: 0.356 Age at assessment, sex, genotyping array, PCs(1-15), weekly alcohol intake, cigarettes per day, years of smoking, smoing status (never vs. former vs. current) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002065 PGS000794
(CC_Pancreas_IV)
PSS001022|
European Ancestry|
391,491 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident pancreatic cancer HR: 1.49 [1.37, 1.63] AUROC: 0.745
C-index: 0.743 (0.012)
RΒ²: 0.439 Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002087 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Advanced conventional adenoma OR: 1.22 [1.16, 1.28] β€” Odds Ratio (OR, top 20% vs bottom 20%): 1.91 [1.59, 2.29] Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002092 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Multiple conventional adenomas OR: 1.25 [1.17, 1.34] β€” β€” Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002093 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Multiple serrated polyps OR: 1.09 [1.01, 1.18] β€” β€” Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002085 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Conventional adeonma OR: 1.17 [1.12, 1.21] β€” Odds Ratio (OR, top 20% vs bottom 20%): 1.63 [1.44, 1.83] Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002086 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Non-advanced conventional adenoma OR: 1.12 [1.07, 1.18] β€” Odds Ratio (OR, top 20% vs bottom 20%): 1.44 [1.23, 1.68] Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002088 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Serrated polyp OR: 1.09 [1.03, 1.14] β€” Odds Ratio (OR, top 20% vs bottom 20%): 1.24 [1.06, 1.45] Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002089 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Serrated polyp with high risk of malignancy OR: 1.1 [1.01, 1.19] β€” β€” Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002090 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Serrated polyp with low risk of malignancy OR: 1.08 [1.02, 1.15] β€” Odds Ratio (OR, top 20% vs bottom 20%): 1.25 [1.03, 1.53] Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002091 PGS000801
(GRS40_CRC)
PSS001030|
European Ancestry|
27,426 individuals
PGP000190 |
Hang D et al. Int J Epidemiol (2020)
Reported Trait: Synchronous conventional adenoma and serrated polyp OR: 1.24 [1.16, 1.32] β€” Odds Ratio (OR, top 20% vs bottom 20%): 1.96 [1.54, 2.49] Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score.
PPM002098 PGS000802
(CRC_19)
PSS001032|
East Asian Ancestry|
2,566 individuals
PGP000191 |
He CY et al. Genomics (2021)
Reported Trait: Colorectal cancer β€” β€” Odds Ratio (OR, top 75% vs bottom 25%): 2.53 [1.99, 3.22] Gender, age β€”
PPM002099 PGS000802
(CRC_19)
PSS001031|
East Asian Ancestry|
2,269 individuals
PGP000191 |
He CY et al. Genomics (2021)
Reported Trait: Colorectal cancer β€” β€” Odds Ratio (OR, top 75% vs bottom 25%): 2.12 [1.63, 2.77] Gender, age β€”
PPM002094 PGS000802
(CRC_19)
PSS001033|
East Asian Ancestry|
5,465 individuals
PGP000191 |
He CY et al. Genomics (2021)
Reported Trait: Colorectal cancer β€” AUROC: 0.59 [0.57, 0.6] β€” β€” Possible overlap with score development samples
PPM002095 PGS000802
(CRC_19)
PSS001032|
East Asian Ancestry|
2,566 individuals
PGP000191 |
He CY et al. Genomics (2021)
Reported Trait: Colorectal cancer β€” AUROC: 0.61 [0.59, 0.63] β€” β€” β€”
PPM002096 PGS000802
(CRC_19)
PSS001031|
East Asian Ancestry|
2,269 individuals
PGP000191 |
He CY et al. Genomics (2021)
Reported Trait: Colorectal cancer β€” AUROC: 0.59 [0.57, 0.61] β€” β€” β€”
PPM002097 PGS000802
(CRC_19)
PSS001033|
East Asian Ancestry|
5,465 individuals
PGP000191 |
He CY et al. Genomics (2021)
Reported Trait: Colorectal cancer β€” β€” Odds Ratio (OR, top 75% vs bottom 25%): 2.27 [1.95, 2.64] Gender, age possible overlap with score development samples
PPM009239 PGS001776
(PRS45_CC)
PSS007664|
European Ancestry|
403,998 individuals
PGP000256 |
Gafni A et al. PLoS One (2021)
Reported Trait: Full lifetime risk of colorectal cancer Ξ²: 1.848 AUROC: 0.673 [0.664, 0.682] β€” Family history β€”
PPM009240 PGS001776
(PRS45_CC)
PSS007664|
European Ancestry|
403,998 individuals
PGP000256 |
Gafni A et al. PLoS One (2021)
Reported Trait: 10-year risk of colorectal cancer Ξ²: 1.088 AUROC: 0.674 [0.665, 0.683] β€” Family history β€”
PPM009322 PGS001802
(portability-PLR_153)
PSS009272|
European Ancestry|
18,722 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0376 [0.0233, 0.0519] sex, age, birth date, deprivation index, 16 PCs β€”
PPM009323 PGS001802
(portability-PLR_153)
PSS009046|
European Ancestry|
3,922 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0422 [0.0108, 0.0735] sex, age, birth date, deprivation index, 16 PCs β€”
PPM009324 PGS001802
(portability-PLR_153)
PSS008600|
European Ancestry|
6,241 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0237 [-0.0012, 0.0485] sex, age, birth date, deprivation index, 16 PCs β€”
PPM009325 PGS001802
(portability-PLR_153)
PSS008378|
Greater Middle Eastern Ancestry|
1,123 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0416 [-0.0175, 0.1004] sex, age, birth date, deprivation index, 16 PCs β€”
PPM009326 PGS001802
(portability-PLR_153)
PSS008154|
South Asian Ancestry|
6,010 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0135 [-0.0118, 0.0389] sex, age, birth date, deprivation index, 16 PCs β€”
PPM009327 PGS001802
(portability-PLR_153)
PSS007942|
East Asian Ancestry|
1,719 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0226 [-0.025, 0.0701] sex, age, birth date, deprivation index, 16 PCs β€”
PPM009328 PGS001802
(portability-PLR_153)
PSS007724|
African Ancestry|
2,362 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0193 [-0.0212, 0.0598] sex, age, birth date, deprivation index, 16 PCs β€”
PPM009329 PGS001802
(portability-PLR_153)
PSS008826|
African Ancestry|
3,757 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0259 [-0.0062, 0.0579] sex, age, birth date, deprivation index, 16 PCs β€”
PPM010978 PGS002013
(portability-ldpred2_153)
PSS009272|
European Ancestry|
18,722 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0397 [0.0254, 0.054] sex, age, birth date, deprivation index, 16 PCs β€”
PPM010979 PGS002013
(portability-ldpred2_153)
PSS009046|
European Ancestry|
3,922 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0419 [0.0105, 0.0732] sex, age, birth date, deprivation index, 16 PCs β€”
PPM010980 PGS002013
(portability-ldpred2_153)
PSS008600|
European Ancestry|
6,241 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0234 [-0.0015, 0.0482] sex, age, birth date, deprivation index, 16 PCs β€”
PPM010981 PGS002013
(portability-ldpred2_153)
PSS008378|
Greater Middle Eastern Ancestry|
1,123 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0315 [-0.0276, 0.0904] sex, age, birth date, deprivation index, 16 PCs β€”
PPM010982 PGS002013
(portability-ldpred2_153)
PSS008154|
South Asian Ancestry|
6,010 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0275 [0.0021, 0.0528] sex, age, birth date, deprivation index, 16 PCs β€”
PPM010983 PGS002013
(portability-ldpred2_153)
PSS007942|
East Asian Ancestry|
1,719 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.026 [-0.0215, 0.0735] sex, age, birth date, deprivation index, 16 PCs β€”
PPM010984 PGS002013
(portability-ldpred2_153)
PSS007724|
African Ancestry|
2,362 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0053 [-0.0352, 0.0458] sex, age, birth date, deprivation index, 16 PCs β€”
PPM010985 PGS002013
(portability-ldpred2_153)
PSS008826|
African Ancestry|
3,757 individuals
PGP000263 |
PrivΓ© F et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer β€” β€” Partial Correlation (partial-r): 0.0265 [-0.0056, 0.0585] sex, age, birth date, deprivation index, 16 PCs β€”
PPM012805 PGS002252
(PRS_CRC)
PSS009566|
European Ancestry|
7,376 individuals
PGP000279 |
Archambault AN et al. J Natl Cancer Inst (2022)
Reported Trait: Early-onset colorectal cancer OR: 1.59 [1.51, 1.68] AUROC: 0.628 [0.613, 0.644] β€” Age, sex, genotype platform, family history, principal components β€”
PPM012806 PGS002252
(PRS_CRC)
PSS009566|
European Ancestry|
7,376 individuals
PGP000279 |
Archambault AN et al. J Natl Cancer Inst (2022)
Reported Trait: Early-onset colorectal cancer (men) β€” AUROC: 0.61 [0.592, 0.651] β€” Age, family history, genotype platform, principal components β€”
PPM012807 PGS002252
(PRS_CRC)
PSS009566|
European Ancestry|
7,376 individuals
PGP000279 |
Archambault AN et al. J Natl Cancer Inst (2022)
Reported Trait: Early-onset colorectal cancer (women) β€” AUROC: 0.633 [0.612, 0.655] β€” Age, family history, genotype platform, principal components β€”
PPM012808 PGS002252
(PRS_CRC)
PSS009566|
European Ancestry|
7,376 individuals
PGP000279 |
Archambault AN et al. J Natl Cancer Inst (2022)
Reported Trait: Proximal colon cancer OR: 1.38 [1.27, 1.5] AUROC: 0.592 [0.554, 0.63] β€” Age, family history, genotype platform, principal components β€”
PPM012809 PGS002252
(PRS_CRC)
PSS009566|
European Ancestry|
7,376 individuals
PGP000279 |
Archambault AN et al. J Natl Cancer Inst (2022)
Reported Trait: Distal colon cancer OR: 1.73 [1.6, 1.87] AUROC: 0.643 [0.614, 0.671] β€” Age, family history, genotype platform, principal components β€”
PPM012810 PGS002252
(PRS_CRC)
PSS009566|
European Ancestry|
7,376 individuals
PGP000279 |
Archambault AN et al. J Natl Cancer Inst (2022)
Reported Trait: Rectal cancer OR: 1.67 [1.55, 1.8] AUROC: 0.654 [0.63, 0.68] β€” Age, family history, genotype platform, principal components β€”
PPM012888 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma β€” AUROC: 0.605 [0.587, 0.623] Positive predictive values (PPV highest quintile): 14.4 [13, 15.9] β€” β€”
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) β€” β€” Positive predictive values (PPV highest quintile): 0.239 [0.181, 0.303] β€” β€”
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) β€” AUROC: 0.594 [0.573, 0.614] Positive predictive values (PPV highest quintile): 0.119 [0.105, 0.134] β€” β€”
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] β€” β€” principal components (PC 1-10) β€”
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) β€” β€” Positive predictive values (PPV highest quintile): 0.867 [0.732, 0.949] β€” β€”
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] β€” β€” principal components (PC 1-10) β€”
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] β€” β€” principal components (PC 1-10) β€”
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) β€” AUROC: 0.645 β€” β€” β€”
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] β€” β€” principal components (PC 1-10) β€”
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] β€” β€” principal components (PC 1-10) β€”
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] β€” β€” principal components (PC 1-10) β€”
PPM012889 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma β€” β€” 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) β€”
PPM012890 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma β€” AUROC: 0.83 [0.8, 0.86] β€” 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 β€”
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 β€” β€” principal components (PC 1-10) β€”
PPM013009 PGS002265
(PRS140_CRC)
PSS009645|
Ancestry Not Reported|
8,405 individuals
PGP000319 |
Guo F et al. Clin Gastroenterol Hepatol (2022)
|Ext.
Reported Trait: Risk of colorectal cancer β€” β€” Odds ratio (OR, high vs low): 2.61 [2.33, 2.93] Age, sex, education, body mass index, participation in a health check-up, family history of colorectal cancer, smoking, ever regular use of nonsteroidal anti-inflammatory drugs, and ever regular use of hormone replacement therapy β€”
PPM014884 PGS002265
(PRS140_CRC)
PSS009918|
European Ancestry|
5,306 individuals
PGP000350 |
Niedermaier T et al. Cancer Prev Res (Phila) (2022)
|Ext.
Reported Trait: Advanced colorectal neoplasia (Ridascreen model) OR: 1.025
Ξ²: 0.02451
AUROC: 0.524 [0.499, 0.55] β€” β€” β€”
PPM014885 PGS002265
(PRS140_CRC)
PSS009918|
European Ancestry|
5,306 individuals
PGP000350 |
Niedermaier T et al. Cancer Prev Res (Phila) (2022)
|Ext.
Reported Trait: Advanced colorectal neoplasia (FOB Gold model) OR: 1.036
Ξ²: 0.03518
AUROC: 0.53 [0.516, 0.545] β€” β€” β€”
PPM018664 PGS002265
(PRS140_CRC)
PSS011059|
European Ancestry|
72,791 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.629 [0.613, 0.645] Hazard Ratio (HR, top 30% of PGS vs. remainder): 1.92 [1.75, 2.23] age, sex β€”
PPM018665 PGS002265
(PRS140_CRC)
PSS011058|
East Asian Ancestry|
6,966 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.591 [0.536, 0.625] β€” age, sex β€”
PPM018666 PGS002265
(PRS140_CRC)
PSS011060|
Hispanic or Latin American Ancestry|
6,660 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.592 [0.531, 0.652] β€” age, sex β€”
PPM018667 PGS002265
(PRS140_CRC)
PSS011057|
African Ancestry|
5,249 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.581 [0.5, 0.645] β€” age, sex β€”
PPM018668 PGS002265
(PRS140_CRC)
PSS011061|
European Ancestry|
38,214 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.591 β€” age, sex β€”
PPM020729 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Colorectal cancer β€” AUROC: 0.615 [0.529, 0.7] β€” β€” β€”
PPM020730 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Advanced adenoma β€” AUROC: 0.589 [0.562, 0.616] β€” β€” β€”
PPM020731 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Non-advanced adenoma β€” AUROC: 0.555 [0.534, 0.576] β€” β€” β€”
PPM020732 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms β€” AUROC: 0.591 [0.564, 0.617] β€” β€” β€”
PPM020733 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms (50 - 59 years) β€” AUROC: 0.586 [0.544, 0.628] β€” β€” β€”
PPM020734 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms (60 - 79 years) β€” AUROC: 0.597 [0.563, 0.631] β€” β€” β€”
PPM020735 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms (men) β€” AUROC: 0.593 [0.558, 0.629] β€” β€” β€”
PPM020736 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms (women) β€” AUROC: 0.593 [0.553, 0.633] β€” β€” β€”
PPM020737 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms (family history) β€” AUROC: 0.555 [0.471 - 0.639 β€” β€” β€”
PPM020738 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms (non family history) β€” AUROC: 0.599 [0.57, 0.627] β€” β€” β€”
PPM020739 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms (previous colonoscopy) β€” AUROC: 0.607 [0.551, 0.663] β€” β€” β€”
PPM020740 PGS002265
(PRS140_CRC)
PSS011386|
Ancestry Not Reported|
3,025 individuals
PGP000573 |
Niedermaier T et al. Cancer Commun (Lond) (2023)
|Ext.
Reported Trait: Any advanced neoplasms (no previous colonoscopy) β€” AUROC: 0.585 [0.555, 0.616] β€” β€” β€”
PPM020902 PGS002265
(PRS140_CRC)
PSS011444|
Multi-ancestry (including European)|
4,035 individuals
PGP000601 |
Niedermaier T et al. Clin Transl Gastroenterol (2022)
|Ext.
Reported Trait: Advanced neoplasia (colorectal cancer or advanced adenoma) β€” β€” Positive predictive value (PPV, highest PRS tertile): 39.0 [36.0, 42.0] β€” Intermediate (90% specificity) FIT cutoff.
PPM020901 PGS002265
(PRS140_CRC)
PSS011445|
Multi-ancestry (including European)|
1,271 individuals
PGP000601 |
Niedermaier T et al. Clin Transl Gastroenterol (2022)
|Ext.
Reported Trait: Advanced neoplasia (colorectal cancer or advanced adenoma) β€” β€” Positive predictive value (PPV, highest PRS tertile): 37.0 [31.0, 43.0] β€” Intermediate (90% specificity) FIT cutoff.
PPM030703 PGS002265
(PRS140_CRC)
PSS012255|
European Ancestry|
11,947 individuals
PGP000804 |
Yang M et al. PLoS One (2023)
|Ext.
Reported Trait: Colorectal cancer OR: 2.7 [2.27, 3.19] β€” β€” age, BMI, IMD, sex, family history, current tobacci smoking, alcohol intake frequency, household income, number of vehicles in the household, maternal smoking around birth, eductaion employment β€”
PPM030704 PGS002265
(PRS140_CRC)
PSS012256|
European Ancestry|
10,966 individuals
PGP000804 |
Yang M et al. PLoS One (2023)
|Ext.
Reported Trait: Colorectal cancer (50 years or olders) OR: 2.67 [2.24, 3.2] β€” β€” age, BMI, IMD, sex, PRS, family history, current tobacco smoking, alcohol intake frequency, household income, number vehicles in the household, maternal smoking around birth, education, employment β€”
PPM030705 PGS002265
(PRS140_CRC)
PSS012257|
European Ancestry|
981 individuals
PGP000804 |
Yang M et al. PLoS One (2023)
|Ext.
Reported Trait: Colorectal cancer (<50 years) OR: 2.87 [1.65, 5.0] β€” β€” age, BMI, IMD, sex, PRS, family history, current tobacco smoking, alcohol intake frequency, household income, number vehicles in the household, maternal smoking around birth, education, employment β€”
PPM013027 PGS002298
(PRS14_esophageal)
PSS009661|
European Ancestry|
406 individuals
PGP000328 |
Choi J et al. Int J Cancer (2020)
Reported Trait: Esophageal cancer β€” AUROC: 0.53 [0.51, 0.56] β€” β€” β€”
PPM013028 PGS002299
(PRS3_gastric)
PSS009662|
European Ancestry|
272 individuals
PGP000328 |
Choi J et al. Int J Cancer (2020)
Reported Trait: Gastric cancer β€” AUROC: 0.56 [0.54, 0.58] β€” β€” β€”
PPM013036 PGS002299
(PRS3_gastric)
PSS009662|
European Ancestry|
272 individuals
PGP000328 |
Choi J et al. Int J Cancer (2020)
Reported Trait: Gastric cancer β€” β€” Hazard ratio (HR top 5% vs average): 1.27 [0.75, 2.15] Age, birth cohort, genotyping array, top 10 PCs for ancestry and sex (for nonsex specific cancer only) β€”
PPM014844 PGS002740
(PRS22_PC)
PSS009913|
European Ancestry|
13,952 individuals
PGP000347 |
Yuan C et al. Ann Oncol (2022)
Reported Trait: Pancreatic cancer in those aged <= 60 years β€” β€” Odds ratio (OR, top vs bottom 10%): 6.91 [4.6, 10.4] β€” β€”
PPM014843 PGS002740
(PRS22_PC)
PSS009913|
European Ancestry|
13,952 individuals
PGP000347 |
Yuan C et al. Ann Oncol (2022)
Reported Trait: Pancreatic cancer in those aged >70 years β€” β€” Odds ratio (OR, top vs bottom 10%): 4.12 [3.08, 5.52] β€” β€”
PPM014906 PGS002742
(PRS115_EAS)
PSS009924|
East Asian Ancestry|
1,454 individuals
PGP000354 |
Ping J et al. Int J Cancer (2022)
Reported Trait: Colorectal cancer OR: 1.63 [1.46, 1.83] AUROC: 0.63 [0.6, 0.66] β€” β€” β€”
PPM014909 PGS002742
(PRS115_EAS)
PSS009923|
East Asian Ancestry|
1,736 individuals
PGP000354 |
Ping J et al. Int J Cancer (2022)
Reported Trait: Colorectal cancer OR: 1.51 [1.37, 1.67] AUROC: 0.61 [0.59, 0.64] β€” β€” β€”
PPM014907 PGS002743
(PRS115_EUR)
PSS009924|
East Asian Ancestry|
1,454 individuals
PGP000354 |
Ping J et al. Int J Cancer (2022)
Reported Trait: Colorectal cancer OR: 1.44 [1.29, 1.6] AUROC: 0.6 [0.57, 0.63] β€” β€” β€”
PPM014910 PGS002743
(PRS115_EUR)
PSS009923|
East Asian Ancestry|
1,736 individuals
PGP000354 |
Ping J et al. Int J Cancer (2022)
Reported Trait: Colorectal cancer OR: 1.39 [1.26, 1.53] AUROC: 0.59 [0.56, 0.61] β€” β€” β€”
PPM014908 PGS002744
(PRS115_EUR_EAS)
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] β€” β€” β€”
PPM014911 PGS002744
(PRS115_EUR_EAS)
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] β€” β€” β€”
PPM014926 PGS002747
(PRS_GI)
PSS009932|
European Ancestry|
430,036 individuals
PGP000359 |
Liu Y et al. Cancer Med (2022)
Reported Trait: Incident gastrointestinal cancer β€” β€” Hazard Ratio (HR, high vs low): 2.28 [2.09, 2.49] Age group, gender, qualification, Townsend Deprivation Index, family history of cancer, smoking status, alcohol consumption and the top 10 genetic principal components β€”
PPM014927 PGS002747
(PRS_GI)
PSS009932|
European Ancestry|
430,036 individuals
PGP000359 |
Liu Y et al. Cancer Med (2022)
Reported Trait: Incident gastrointestinal cancer (with metabolic syndrome) β€” β€” Hazard Ratio (HR, high vs low): 2.75 [2.43, 3.12] β€” β€”
PPM014958 PGS002758
(Colorectal_cancer_prscs)
PSS009939|
European Ancestry|
39,444 individuals
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Reported Trait: Colorectal cancer OR: 1.61 [1.46, 1.77] β€” β€” age, sex, 10 PCs, technical covariates β€”
PPM016261 PGS003386
(best_COADREAD)
PSS010076|
European Ancestry|
274,069 individuals
PGP000413 |
Namba S et al. Cancer Res (2022)
Reported Trait: colorectal cancer β€” AUROC: 0.724 RΒ²: 0.0115 age, sex, top 20 genetic principal components β€”
PPM016262 PGS003387
(best_ESCA_BEEA)
PSS010077|
European Ancestry|
270,026 individuals
PGP000413 |
Namba S et al. Cancer Res (2022)
Reported Trait: esophageal adenocarcinoma β€” AUROC: 0.819 RΒ²: 0.0123 age, sex, top 20 genetic principal components β€”
PPM016263 PGS003388
(best_ESCA_EA)
PSS010077|
European Ancestry|
270,026 individuals
PGP000413 |
Namba S et al. Cancer Res (2022)
Reported Trait: esophageal adenocarcinoma β€” AUROC: 0.814 RΒ²: 0.00875 age, sex, top 20 genetic principal components β€”
PPM016277 PGS003395
(PRScsx_CRC)
PSS010093|
East Asian Ancestry|
2,179 individuals
PGP000414 |
Xin J et al. Genome Med (2023)
Reported Trait: Incident colorectal cancer OR: 1.73 [1.56, 1.91] AUROC: 0.646 β€” sex, age and principal components β€”
PPM016278 PGS003395
(PRScsx_CRC)
PSS010092|
European Ancestry|
2,573 individuals
PGP000414 |
Xin J et al. Genome Med (2023)
Reported Trait: Incident colorectal cancer OR: 1.48 [1.36, 1.62] AUROC: 0.608 β€” sex, age and principal components β€”
PPM016279 PGS003395
(PRScsx_CRC)
PSS010094|
European Ancestry|
355,543 individuals
PGP000414 |
Xin J et al. Genome Med (2023)
Reported Trait: Incident colorectal cancer HR: 1.42 [1.37, 1.48] AUROC: 0.597 β€” sex, age, center and principal components β€”
PPM017117 PGS003431
(LDPred2-inf)
PSS010132|
European Ancestry|
34,152 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.726 [0.704, 0.748] RΒ²: 7.0 [5.7, 8.4] age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017123 PGS003431
(LDPred2-inf)
PSS010133|
European Ancestry|
33,893 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.715 [0.686, 0.743] RΒ²: 27.0 [21.7, 32.1] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017129 PGS003431
(LDPred2-inf)
PSS010134|
Multi-ancestry (excluding European)|
27,503 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.588 [0.545, 0.627] β€” age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017135 PGS003431
(LDPred2-inf)
PSS010135|
Multi-ancestry (excluding European)|
27,310 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.647 [0.593, 0.7] RΒ²: 17.2 [9.2, 27.9] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017105 PGS003431
(LDPred2-inf)
PSS010130|
European Ancestry|
280,664 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer OR: 1.435 [1.391, 1.48] AUROC: 0.704 [0.697, 0.712] RΒ²: 5.5 [5.1, 5.9] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication
PPM017111 PGS003431
(LDPred2-inf)
PSS010131|
European Ancestry|
278,493 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: incident Colorectal cancer HR: 1.368 [1.31, 1.428] C-index: 0.696 [0.685, 0.707] RΒ²: 22.0 [20.1, 24.0] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017106 PGS003432
(LDPred2-grid)
PSS010130|
European Ancestry|
280,664 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer OR: 1.584 [1.536, 1.633] AUROC: 0.717 [0.711, 0.725] RΒ²: 6.3 [5.9, 6.8] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication
PPM017118 PGS003432
(LDPred2-grid)
PSS010132|
European Ancestry|
34,152 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.732 [0.71, 0.752] RΒ²: 7.6 [6.1, 8.9] age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017124 PGS003432
(LDPred2-grid)
PSS010133|
European Ancestry|
33,893 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.724 [0.696, 0.751] RΒ²: 28.3 [23.2, 33.3] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017130 PGS003432
(LDPred2-grid)
PSS010134|
Multi-ancestry (excluding European)|
27,503 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.602 [0.558, 0.64] β€” age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017136 PGS003432
(LDPred2-grid)
PSS010135|
Multi-ancestry (excluding European)|
27,310 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.666 [0.61, 0.72] RΒ²: 20.3 [11.5, 31.1] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017112 PGS003432
(LDPred2-grid)
PSS010131|
European Ancestry|
278,493 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: incident Colorectal cancer HR: 1.563 [1.498, 1.631] C-index: 0.714 [0.704, 0.726] RΒ²: 25.6 [23.8, 27.8] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017107 PGS003433
(LDPred2-grid-sp)
PSS010130|
European Ancestry|
280,664 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer OR: 1.571 [1.524, 1.62] AUROC: 0.716 [0.71, 0.723] RΒ²: 6.2 [5.8, 6.7] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication
PPM017119 PGS003433
(LDPred2-grid-sp)
PSS010132|
European Ancestry|
34,152 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.733 [0.71, 0.753] RΒ²: 7.6 [6.1, 8.9] age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017125 PGS003433
(LDPred2-grid-sp)
PSS010133|
European Ancestry|
33,893 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.725 [0.696, 0.752] RΒ²: 28.5 [23.4, 33.7] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017131 PGS003433
(LDPred2-grid-sp)
PSS010134|
Multi-ancestry (excluding European)|
27,503 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.601 [0.559, 0.64] β€” age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017137 PGS003433
(LDPred2-grid-sp)
PSS010135|
Multi-ancestry (excluding European)|
27,310 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.664 [0.609, 0.718] RΒ²: 20.2 [11.4, 30.7] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017141 PGS003433
(LDPred2-grid-sp)
PSS010129|
Multi-ancestry (excluding European)|
196,091 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer in men β€” C-index: 0.73 [0.72, 0.741] RΒ²: 28.2 [26.3, 30.1]
For top 20% absolute risk sensitivity: 47.8 %
specificty: 80.3 %
QCancer-10 score Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017142 PGS003433
(LDPred2-grid-sp)
PSS010128|
Multi-ancestry (excluding European)|
238,496 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: incident Colorectal cancer in females β€” C-index: 0.687 [0.673, 0.702] RΒ²: 21.0 [18.7, 23.7]
For top 20% absolute risk sensitivity: 42.7 %
specificty: 80.1 %
QCancer-10 score Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017113 PGS003433
(LDPred2-grid-sp)
PSS010131|
European Ancestry|
278,493 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: incident Colorectal cancer HR: 1.545 [1.48, 1.612] C-index: 0.712 [0.702, 0.723] RΒ²: 25.3 [23.4, 27.3] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017108 PGS003434
(SCT)
PSS010130|
European Ancestry|
280,664 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer OR: 1.417 [1.375, 1.461] AUROC: 0.702 [0.695, 0.711] RΒ²: 5.4 [5.0, 5.9] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication
PPM017114 PGS003434
(SCT)
PSS010131|
European Ancestry|
278,493 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: incident Colorectal cancer HR: 1.378 [1.321, 1.438] C-index: 0.695 [0.685, 0.706] RΒ²: 22.3 [20.3, 24.4] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017120 PGS003434
(SCT)
PSS010132|
European Ancestry|
34,152 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.718 [0.696, 0.739] RΒ²: 6.4 [5.0, 7.7] age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017126 PGS003434
(SCT)
PSS010133|
European Ancestry|
33,893 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.713 [0.686, 0.74] RΒ²: 25.1 [20.2, 30.2] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017132 PGS003434
(SCT)
PSS010134|
Multi-ancestry (excluding European)|
27,503 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.589 [0.546, 0.626] β€” age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017138 PGS003434
(SCT)
PSS010135|
Multi-ancestry (excluding European)|
27,310 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.65 [0.596, 0.705] RΒ²: 17.4 [8.9, 28.1] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017109 PGS003435
(CT)
PSS010130|
European Ancestry|
280,664 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer OR: 1.425 [1.382, 1.47] AUROC: 0.704 [0.697, 0.711] RΒ²: 5.4 [5.1, 5.9] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication
PPM017115 PGS003435
(CT)
PSS010131|
European Ancestry|
278,493 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: incident Colorectal cancer HR: 1.397 [1.338, 1.459] C-index: 0.698 [0.689, 0.709] RΒ²: 22.4 [20.6, 24.4] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017121 PGS003435
(CT)
PSS010132|
European Ancestry|
34,152 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.719 [0.696, 0.74] RΒ²: 6.6 [5.2, 7.9] age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017127 PGS003435
(CT)
PSS010133|
European Ancestry|
33,893 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.707 [0.681, 0.734] RΒ²: 25.1 [20.0, 30.3] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017133 PGS003435
(CT)
PSS010134|
Multi-ancestry (excluding European)|
27,503 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.597 [0.554, 0.636] β€” age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017139 PGS003435
(CT)
PSS010135|
Multi-ancestry (excluding European)|
27,310 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.658 [0.606, 0.71] RΒ²: 18.7 [10.0, 29.4] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017110 PGS003436
(GWAS-sig)
PSS010130|
European Ancestry|
280,664 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer OR: 1.39 [1.348, 1.433] AUROC: 0.7 [0.693, 0.707] RΒ²: 5.3 [4.9, 5.7] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication
PPM017116 PGS003436
(GWAS-sig)
PSS010131|
European Ancestry|
278,493 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: incident Colorectal cancer HR: 1.377 [1.32, 1.436] C-index: 0.695 [0.685, 0.706] RΒ²: 22.2 [20.2, 24.4] age, sex, PC1-4, array Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017122 PGS003436
(GWAS-sig)
PSS010132|
European Ancestry|
34,152 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.703 [0.679, 0.724] RΒ²: 5.4 [4.0, 6.7] age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017128 PGS003436
(GWAS-sig)
PSS010133|
European Ancestry|
33,893 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.701 [0.675, 0.729] RΒ²: 23.8 [19.0, 29.4] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017134 PGS003436
(GWAS-sig)
PSS010134|
Multi-ancestry (excluding European)|
27,503 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Colorectal cancer β€” AUROC: 0.587 [0.543, 0.624] β€” age, sex, PC1-4, array Dxy, scaled Brier, calibration slope and CITL available in source publication
PPM017140 PGS003436
(GWAS-sig)
PSS010135|
Multi-ancestry (excluding European)|
27,310 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer β€” C-index: 0.659 [0.605, 0.715] RΒ²: 19.1 [10.3, 29.9] age, sex, PC1-4, array Dxy, D statistic, scaled Brier, calibration slope, available in source publication
PPM017143 PGS003436
(GWAS-sig)
PSS010129|
Multi-ancestry (excluding European)|
196,091 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: Incident Colorectal cancer in men β€” C-index: 0.715 [0.706, 0.726] RΒ²: 25.6 [23.9, 27.5]
For top 20% absolute risk sensitivity: 44.4 %
specificty: 80.2 %
QCancer-10 score Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017144 PGS003436
(GWAS-sig)
PSS010128|
Multi-ancestry (excluding European)|
238,496 individuals
PGP000438 |
Briggs SEW et al. BMJ (2022)
Reported Trait: incident Colorectal cancer in females β€” C-index: 0.669 [0.655, 0.683] RΒ²: 17.0 [14.8, 19.3]
For top 20% absolute risk sensitivity: 39.2 %
specificty: 80.1 %
QCancer-10 score Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication
PPM017158 PGS003439
(PRSCC_140)
PSS010138|
European Ancestry|
66,282 individuals
PGP000441 |
Su YR et al. Cancer Epidemiol Biomarkers Prev (2023)
Reported Trait: 5 year colorectal cancer risk β€” AUROC: 0.73 [0.71, 0.76] β€” age, first-degree CRC family history, sex, endoscopy history β€”
PPM017159 PGS003439
(PRSCC_140)
PSS010138|
European Ancestry|
66,282 individuals
PGP000441 |
Su YR et al. Cancer Epidemiol Biomarkers Prev (2023)
Reported Trait: 10 year colorectal cancer risk β€” AUROC: 0.72 [0.7, 0.74] β€” age, first-degree CRC family history, sex, endoscopy history β€”
PPM018495 PGS003739
(PRS81_CoC)
PSS010988|
European Ancestry|
470 individuals
PGP000470 |
Xin J et al. EBioMedicine (2023)
Reported Trait: Colorectal cancer OR: 1.37 [1.24, 1.51] β€” β€” β€” β€”
PPM018549 PGS003760
(PRS49_EOCRC)
PSS011018|
Multi-ancestry (including European)|
25,150 individuals
PGP000480 |
Wang H et al. Genome Med (2023)
Reported Trait: Early onset colorectal cancer β€” β€” Odds ratio (OR, Quartile 4 vs Quartile 1): 1.64 [1.32, 2.03] Sex, ethnicity, drinking frequency, smoke status, and family history β€”
PPM018677 PGS003850
(CRC_PRS_200loci)
PSS011062|
Additional Asian Ancestries|
12,025 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
|Ext.
Reported Trait: Colorectal cancer OR: 1.3 AUROC: 0.6 [0.59, 0.62] β€” Age, sex, PCs 1-4 β€”
PPM018678 PGS003850
(CRC_PRS_200loci)
PSS011063|
African Ancestry|
13,823 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
|Ext.
Reported Trait: Colorectal cancer OR: 1.25 AUROC: 0.58 [0.56, 0.59] β€” Age, sex, PCs 1-4 β€”
PPM018679 PGS003850
(CRC_PRS_200loci)
PSS011064|
Hispanic or Latin American Ancestry|
10,377 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
|Ext.
Reported Trait: Colorectal cancer OR: 1.37 AUROC: 0.59 [0.57, 0.6] β€” Age, sex, PCs 1-4 β€”
PPM018680 PGS003850
(CRC_PRS_200loci)
PSS011065|
European Ancestry|
118,756 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
|Ext.
Reported Trait: Colorectal cancer OR: 1.62 AUROC: 0.61 [0.6, 0.62] β€” Age, sex, PCs 1-4 β€”
PPM018681 PGS003851
(CRC_PRS_EUR)
PSS011062|
Additional Asian Ancestries|
12,025 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
|Ext.
Reported Trait: Colorectal cancer β€” AUROC: 0.619 [0.547, 0.689] β€” Age, sex, PCs 1-10 β€”
PPM018682 PGS003851
(CRC_PRS_EUR)
PSS011063|
African Ancestry|
13,823 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
|Ext.
Reported Trait: Colorectal cancer β€” AUROC: 0.526 [0.419, 0.62] β€” Age, sex, PCs 1-10 β€”
PPM018683 PGS003851
(CRC_PRS_EUR)
PSS011064|
Hispanic or Latin American Ancestry|
10,377 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
|Ext.
Reported Trait: Colorectal cancer β€” AUROC: 0.584 [0.511, 0.656] β€” Age, sex, PCs 1-10 β€”
PPM018684 PGS003851
(CRC_PRS_EUR)
PSS011065|
European Ancestry|
118,756 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
|Ext.
Reported Trait: Colorectal cancer β€” AUROC: 0.638 [0.624, 0.652] β€” Age, sex, PCs 1-10 β€”
PPM018669 PGS003851
(CRC_PRS_EUR)
PSS011059|
European Ancestry|
72,791 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.654 [0.639, 0.669] β€” age, sex β€”
PPM018670 PGS003851
(CRC_PRS_EUR)
PSS011058|
East Asian Ancestry|
6,966 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.601 [0.538, 0.664] β€” age, sex β€”
PPM018671 PGS003851
(CRC_PRS_EUR)
PSS011057|
African Ancestry|
5,249 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.543 [0.5, 0.6241] β€” age, sex β€”
PPM018672 PGS003851
(CRC_PRS_EUR)
PSS011060|
Hispanic or Latin American Ancestry|
6,660 individuals
PGP000294 |
Thomas M et al. Am J Hum Genet (2020)
Reported Trait: Colorectal cancer β€” AUROC: 0.602 [0.542, 0.662] β€” age, sex β€”
PPM018673 PGS003852
(CRC_PRS_EUR_EAS)
PSS011062|
Additional Asian Ancestries|
12,025 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
Reported Trait: Colorectal cancer OR: 1.64 [1.55, 1.74] AUROC: 0.63 [0.62, 0.64] β€” Age, sex, PCs 1-4 β€”
PPM018674 PGS003852
(CRC_PRS_EUR_EAS)
PSS011063|
African Ancestry|
13,823 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
Reported Trait: Colorectal cancer OR: 1.39 [1.31, 1.47] AUROC: 0.59 [0.57, 0.61] β€” Age, sex, PCs 1-4 β€”
PPM018675 PGS003852
(CRC_PRS_EUR_EAS)
PSS011064|
Hispanic or Latin American Ancestry|
10,377 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
Reported Trait: Colorectal cancer OR: 1.62 [1.51, 1.73] AUROC: 0.62 [0.6, 0.63] β€” Age, sex, PCs 1-4 β€”
PPM018676 PGS003852
(CRC_PRS_EUR_EAS)
PSS011065|
European Ancestry|
118,756 individuals
PGP000492 |
Thomas M et al. Nat Commun (2023)
Reported Trait: Colorectal cancer OR: 1.67 [1.6, 1.75] AUROC: 0.65 [0.64, 0.66] β€” Age, sex, PCs 1-4 β€”
PPM019147 PGS003979
(CRC_PRSCS)
PSS011211|
European Ancestry|
453,733 individuals
PGP000515 |
Tamlander M et al. Br J Cancer (2023)
Reported Trait: Colorectal cancer OR: 1.63 [1.6, 1.67] AUROC: 0.795 [0.791, 0.799] β€” year of birth, sex, ten first principal components of ancestry, genotyping batch, genotyping array β€”
PPM020292 PGS004240
(PRS89_CRC)
PSS011326|
Multi-ancestry (including European)|
3,809 individuals
PGP000541 |
Fan L et al. Int J Cancer (2023)
Reported Trait: Colorectal cancer β€” β€” Hazard ratio (HR, high vs low PRS tertile): 2.51 [2.04, 3.09] Age, sex, red meat intake, BMI, family history of CRC, smoking status, alcohol intake, townsend deprivation index, race, education (College or University degree, vocational qualifications, optional national exams at ages 17 to 18 years, national exams at age 16 years, none of the above, unknown), other common diseases (hypertension, heart diseases, diabetes) β€”
PPM020293 PGS004240
(PRS89_CRC)
PSS011327|
Multi-ancestry (including European)|
125,021 individuals
PGP000541 |
Fan L et al. Int J Cancer (2023)
Reported Trait: Colorectal cancer β€” β€” Hazard ratio (HR, high vs low PRS tertile): 2.48 [2.11, 2.91] Age, sex, red meat intake, BMI, family history of CRC, smoking status, alcohol intake, townsend deprivation index, race, education (College or University degree, vocational qualifications, optional national exams at ages 17 to 18 years, national exams at age 16 years, none of the above, unknown), other common diseases (hypertension, heart diseases, diabetes) β€”
PPM020294 PGS004240
(PRS89_CRC)
PSS011327|
Multi-ancestry (including European)|
125,021 individuals
PGP000541 |
Fan L et al. Int J Cancer (2023)
Reported Trait: Colorectal cancer x Saturated fatty acids interaction HR: 1.14 [1.11, 1.18] β€” β€” Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) β€”
PPM020295 PGS004240
(PRS89_CRC)
PSS011326|
Multi-ancestry (including European)|
3,809 individuals
PGP000541 |
Fan L et al. Int J Cancer (2023)
Reported Trait: Colorectal cancer x Saturated fatty acids interaction HR: 1.17 [1.12, 1.22] β€” β€” Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) β€”
PPM020296 PGS004240
(PRS89_CRC)
PSS011327|
Multi-ancestry (including European)|
125,021 individuals
PGP000541 |
Fan L et al. Int J Cancer (2023)
Reported Trait: Colorectal cancer (with saturated fatty acid and clinical risk factors) β€” AUROC: 0.734 [0.72, 0.749] β€” Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) β€”
PPM020297 PGS004240
(PRS89_CRC)
PSS011326|
Multi-ancestry (including European)|
3,809 individuals
PGP000541 |
Fan L et al. Int J Cancer (2023)
Reported Trait: Colorectal cancer (with saturated fatty acid and clinical risk factors) β€” AUROC: 0.662 [0.64, 0.683] β€” Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) β€”
PPM020300 PGS004243
(PRS67_colorectum)
PSS011328|
European Ancestry|
133,830 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Colorectal cancer HR: 1.49 [1.39, 1.61] β€” β€” first 10 genetic principal components β€”
PPM020309 PGS004243
(PRS67_colorectum)
PSS011329|
European Ancestry|
115,207 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Colorectal cancer HR: 1.51 [1.42, 1.61] β€” β€” first 10 genetic principal components β€”
PPM020307 PGS004250
(PRS19_pancreas)
PSS011328|
European Ancestry|
133,830 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Pancreatic cancer HR: 1.37 [1.16, 1.61] β€” β€” first 10 genetic principal components β€”
PPM020314 PGS004250
(PRS19_pancreas)
PSS011329|
European Ancestry|
115,207 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Pancreatic cancer HR: 1.39 [1.2, 1.61] β€” β€” first 10 genetic principal components β€”
PPM020368 PGS004300
(GenoBoost_colorectal_cancer_0)
PSS011340|
European Ancestry|
67,428 individuals
PGP000546 |
Ohta R et al. Nat Commun (2024)
Reported Trait: Colorectal cancer β€” AUROC: 0.66861 Covariate-adjusted pseudo-R2: 0.00382
AUPRC: 0.66861
age, sex, PC1-10 β€”
PPM020369 PGS004301
(GenoBoost_colorectal_cancer_1)
PSS011340|
European Ancestry|
67,428 individuals
PGP000546 |
Ohta R et al. Nat Commun (2024)
Reported Trait: Colorectal cancer β€” AUROC: 0.66747 Covariate-adjusted pseudo-R2: 0.0036
AUPRC: 0.66747
age, sex, PC1-10 β€”
PPM020370 PGS004302
(GenoBoost_colorectal_cancer_2)
PSS011340|
European Ancestry|
67,428 individuals
PGP000546 |
Ohta R et al. Nat Commun (2024)
Reported Trait: Colorectal cancer β€” AUROC: 0.66658 Covariate-adjusted pseudo-R2: 0.00253
AUPRC: 0.66658
age, sex, PC1-10 β€”
PPM020371 PGS004303
(GenoBoost_colorectal_cancer_3)
PSS011340|
European Ancestry|
67,428 individuals
PGP000546 |
Ohta R et al. Nat Commun (2024)
Reported Trait: Colorectal cancer β€” AUROC: 0.66945 Covariate-adjusted pseudo-R2: 0.00423
AUPRC: 0.66945
age, sex, PC1-10 β€”
PPM020372 PGS004304
(GenoBoost_colorectal_cancer_4)
PSS011340|
European Ancestry|
67,428 individuals
PGP000546 |
Ohta R et al. Nat Commun (2024)
Reported Trait: Colorectal cancer β€” AUROC: 0.66807 Covariate-adjusted pseudo-R2: 0.00325
AUPRC: 0.66807
age, sex, PC1-10 β€”
PPM020419 PGS004320
(PRS16_UGI)
PSS011353|
European Ancestry|
415,589 individuals
PGP000551 |
Liu W et al. Nutrients (2023)
Reported Trait: Upper gastrointestinal cancer with unfavourable diet β€” β€” Hazard ratio (HR, unfavourable diet and PRS in top quintile vs favourable diet with PRS in bottom quintile): 1.6 [1.2, 2.13] age at recruitment, sex, assessment center (10 regions), ethnicity, Townsend deprivation index, education, BMI, glycosylated hemoglobin (HbA1c), smoking status, alcohol intake frequency, physical activity, multimorbidity, family history of cancer, and the first 10 principal components of ancestry β€”
PPM020560 PGS004445
(disease.D12.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: D12 (Benign neoplasm of colon, rectum, anus and anal canal) OR: 1.19821 β€” β€” β€” β€”
PPM020630 PGS004515
(meta.D12.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: D12 (Benign neoplasm of colon, rectum, anus and anal canal) OR: 1.20806 β€” β€” β€” β€”
PPM020695 PGS004580
(CRC_PRSCS)
PSS011366|
European Ancestry|
342,499 individuals
PGP000562 |
Youssef O et al. Lab Invest (2024)
Reported Trait: Colorectal cancer OR: 1.5 [1.46, 1.55] β€” β€” β€” β€”
PPM020702 PGS004586
(PPS_CRC)
PSS011374|
East Asian Ancestry|
543 individuals
PGP000564 |
Xin J et al. Nat Commun (2024)
Reported Trait: Overall survival of colorectal cancer HR: 1.9 [1.61, 2.24] AUROC: 0.649 β€” sex, age, smoking status, drinking status and top 10 principal components β€”
PPM020701 PGS004586
(PPS_CRC)
PSS011373|
European Ancestry|
470 individuals
PGP000564 |
Xin J et al. Nat Commun (2024)
Reported Trait: Overall survival of colorectal cancer HR: 1.99 [1.57, 2.52] AUROC: 0.652 β€” sex, age, stage and top 10 principal components β€”
PPM020703 PGS004586
(PPS_CRC)
PSS011372|
European Ancestry|
713 individuals
PGP000564 |
Xin J et al. Nat Commun (2024)
Reported Trait: Overall survival of colorectal cancer HR: 1.8 [1.49, 2.17] AUROC: 0.658 β€” sex, age, smoking status, drinking status, research center, arm, stage, grade and top 10 principal components β€”
PPM020874 PGS004689
(colorectal_cancer)
PSS011433|
European Ancestry|
40,648 individuals
PGP000596 |
Hu J et al. JNCI Cancer Spectr (2024)
Reported Trait: Colorectal cancer β€” AUROC: 0.556 β€” β€” β€”
PPM020878 PGS004693
(pancreatic_cancer)
PSS011437|
European Ancestry|
40,877 individuals
PGP000596 |
Hu J et al. JNCI Cancer Spectr (2024)
Reported Trait: Pancreatic cancer β€” AUROC: 0.5426 β€” β€” β€”
PPM021216 PGS004880
(INTERVENE_MegaPRS_Colorectal_cancer)
PSS011566|
European Ancestry|
38,448 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident Colorectal Cancer HR: 1.28 [1.21, 1.35] C-index: 0.57 [0.56, 0.59] β€” PCs 1-10 β€”
PPM021217 PGS004880
(INTERVENE_MegaPRS_Colorectal_cancer)
PSS011565|
European Ancestry|
69,715 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident Colorectal Cancer HR: 1.34 [1.27, 1.41] C-index: 0.58 [0.57, 0.6] β€” PCs 1-10 β€”
PPM021218 PGS004880
(INTERVENE_MegaPRS_Colorectal_cancer)
PSS011564|
European Ancestry|
29,427 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident Colorectal Cancer HR: 1.44 [1.38, 1.5] C-index: 0.6 [0.59, 0.62] β€” PCs 1-10 β€”
PPM021220 PGS004880
(INTERVENE_MegaPRS_Colorectal_cancer)
PSS011563|
European Ancestry|
7,018 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident Colorectal Cancer HR: 1.59 [1.41, 1.79] C-index: 0.64 [0.61, 0.68] β€” PCs 1-10 β€”
PPM021221 PGS004880
(INTERVENE_MegaPRS_Colorectal_cancer)
PSS011561|
European Ancestry|
407,920 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident Colorectal Cancer HR: 1.54 [1.5, 1.58] C-index: 0.62 [0.61, 0.63] β€” PCs 1-10 β€”
PPM021222 PGS004880
(INTERVENE_MegaPRS_Colorectal_cancer)
PSS011560|
European Ancestry|
199,868 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident Colorectal Cancer HR: 1.44 [1.37, 1.51] C-index: 0.61 [0.59, 0.63] β€” PCs 1-10 β€”
PPM021219 PGS004880
(INTERVENE_MegaPRS_Colorectal_cancer)
PSS011562|
European Ancestry|
44,186 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident Colorectal Cancer HR: 1.37 [1.12, 1.68] β€” β€” PCs 1-10 β€”
PPM021341 PGS004904
(PRS127_CRC)
PSS011697|
European Ancestry|
113,256 individuals
PGP000636 |
Jiang F et al. Int J Cancer (2023)
Reported Trait: Incident and prevelant early-onset colorectal cancer OR: 2.29 [1.98, 2.64] β€” β€” Age, sex, education, family history, type 1 diabetes, 5 PCs β€”
PPM021342 PGS004904
(PRS127_CRC)
PSS011697|
European Ancestry|
113,256 individuals
PGP000636 |
Jiang F et al. Int J Cancer (2023)
Reported Trait: Incident early-onset colorectal cancer OR: 2.51 [1.77, 3.56] β€” β€” Age, sex, education, family history, type 1 diabetes, 5 PCs β€”
PPM021343 PGS004904
(PRS127_CRC)
PSS011697|
European Ancestry|
113,256 individuals
PGP000636 |
Jiang F et al. Int J Cancer (2023)
Reported Trait: Incident and prevelant early-onset colorectal adenoma OR: 1.59 [1.48, 1.71] β€” β€” Age, sex, education, family history, type 1 diabetes, 5 PCs β€”
PPM021344 PGS004904
(PRS127_CRC)
PSS011697|
European Ancestry|
113,256 individuals
PGP000636 |
Jiang F et al. Int J Cancer (2023)
Reported Trait: Incident early-onset colorectal adenoma OR: 1.57 [1.39, 1.77] β€” β€” Age, sex, education, family history, type 1 diabetes, 5 PCs β€”
PPM021368 PGS004912
(PRS183)
PSS011706|
East Asian Ancestry|
2,344 individuals
PGP000643 |
Tian J et al. Genome Med (2024)
Reported Trait: Colorectal advanced neoplasm OR: 1.61 [1.33, 1.94] AUROC: 0.591 β€” age, sex, family history, principal components, genotype platform β€”
PPM021369 PGS004912
(PRS183)
PSS011706|
East Asian Ancestry|
2,344 individuals
PGP000643 |
Tian J et al. Genome Med (2024)
Reported Trait: Colorectal non-advanced adenoma OR: 1.25 [1.14, 1.38] AUROC: 0.556 β€” age, sex, family history, principal components, genotype platform β€”
PPM021370 PGS004912
(PRS183)
PSS011705|
European Ancestry|
24,322 individuals
PGP000643 |
Tian J et al. Genome Med (2024)
Reported Trait: Colorectal advanced neoplasm OR: 1.34 [1.28, 1.4] AUROC: 0.582 β€” age, sex, family history, principal components, genotype platform β€”
PPM021371 PGS004912
(PRS183)
PSS011705|
European Ancestry|
24,322 individuals
PGP000643 |
Tian J et al. Genome Med (2024)
Reported Trait: Colorectal non-advanced adenoma OR: 1.19 [1.15, 1.23] AUROC: 0.546 β€” age, sex, family history, principal components, genotype platform β€”
PPM021752 PGS004945
(PRS87_CRC)
PSS011779|
European Ancestry|
306,857 individuals
PGP000671 |
Gao P et al. Int J Cancer (2023)
Reported Trait: Incident colorectal cancer β€” β€” Hazard ratio (HR, top vs bottom PGS tertile): 2.35 [2.11, 2.6] Age, sex, ethnic, college or university degree, Townsend deprivation index, alcohol drinking, smoking status, BMI, protein diet, regular physical activity, sleep duration, hyperlipidemia, hypertension, T2D, triglycerides, total cholesterol, glucose, eGFR, genotyping array, 10 PCs β€”
PPM022397 PGS005160
(PRS-ESC)
PSS011937|
East Asian Ancestry|
100,219 individuals
PGP000711 |
Zhu M et al. PLoS Med (2025)
Reported Trait: Esophageal Cancer HR: 1.26 [1.16, 1.38]
Ξ²: 0.246
C-index: 0.559 β€” Age,Sex (if applicable),Region,Top 10 genetic ancestry principal components The HR and C-index values were derived from Cox proportional hazards regression models.
PPM022398 PGS005161
(PRS-GC)
PSS011938|
East Asian Ancestry|
100,219 individuals
PGP000711 |
Zhu M et al. PLoS Med (2025)
Reported Trait: Stomach Cancer HR: 1.27 [1.18, 1.38]
Ξ²: 0.239
C-index: 0.572 β€” Age,Sex (if applicable),Region,Top 10 genetic ancestry principal components The HR and C-index values were derived from Cox proportional hazards regression models.
PPM022399 PGS005162
(PRS-CRC)
PSS011936|
East Asian Ancestry|
100,219 individuals
PGP000711 |
Zhu M et al. PLoS Med (2025)
Reported Trait: Colorectal Cancer HR: 1.54 [1.43, 1.66]
Ξ²: 0.432
C-index: 0.612 β€” Age,Sex (if applicable),Region,Top 10 genetic ancestry principal components The HR and C-index values were derived from Cox proportional hazards regression models.
PPM022759 PGS005275
(CRC_PRS_JPHC_JPGWAS)
PSS012071|
East Asian Ancestry|
7,943 individuals
PGP000749 |
Nakano S et al. Cancer Epidemiol (2025)
Reported Trait: incident colorectal cancer HR: 1.411 [1.229, 1.621] β€” HR of the top quintile compared to the bottom quintile: 2.27 [1.49, 3.46] age β€”
PPM022758 PGS005275
(CRC_PRS_JPHC_JPGWAS)
PSS012070|
East Asian Ancestry|
4,444 individuals
PGP000749 |
Nakano S et al. Cancer Epidemiol (2025)
Reported Trait: incident colorectal cancer HR: 1.475 [1.283, 1.696] β€” HR of the top quintile compared to the bottom quintile: 2.94 [1.94, 4.45] age β€”
PPM023437 PGS005394
(AFR_CRC_PRS_CSx)
PSS012183|
African Ancestry|
1,101 individuals
PGP000779 |
David E et al. medRxiv (2026)
|Pre
Reported Trait: Colorectal carcinoma OR: 1.19 AUROC: 0.63 Nagelkerke Delta R2: 0.0051 age, sex OR per Standard Deviation
PPM023446 PGS005402
(PRS121)
PSS012191|
East Asian Ancestry|
2,821 individuals
PGP000783 |
Chen H et al. Genome Med (2026)
Reported Trait: Advanced colorectal neoplasia OR: 3.66 AUROC: 0.629 β€” age; sex; top 10 genetic principal components; family history of colorectal cancer OR corresponds to top 20% vs lowest quintile of PRS distribution; AUROC for AN vs HC comparison.
PPM023445 PGS005402
(PRS121)
PSS012190|
East Asian Ancestry|
100,219 individuals
PGP000783 |
Chen H et al. Genome Med (2026)
Reported Trait: Incident colorectal cancer HR: 1.42 C-index: 0.602 β€” sex; top 10 genetic principal components; healthy lifestyle index Effect size reported per SD increase in PRS; Fine-Gray competing risk model.
PPM030741 PGS012583
(PRS141_CRC)
PSS012274|
European Ancestry|
28,486 individuals
PGP000817 |
Tian Y et al. Br J Cancer (2024)
Reported Trait: Colorectal cancer β€” β€” Odds ratio (OR, high vs low tertile): 2.87 [2.76, 2.99] age at the reference time, BMI, study, and the first three principal components to account for potential population substructure β€”
PPM030742 PGS012583
(PRS141_CRC)
PSS012274|
European Ancestry|
28,486 individuals
PGP000817 |
Tian Y et al. Br J Cancer (2024)
Reported Trait: Colorectal cancer x menopausal hormone therapy interaction β€” β€” Odds ratio (OR, any MHT and high PRS vs. no MHT and low PRS): 1.83 [1.64, 2.04] age, BMI, study center, and the first three principal components β€”
PPM030756 PGS012587
(PRS_HNC_OC)
PSS012282|
European Ancestry|
307,595 individuals
PGP000822 |
Lee YC et al. BMC Med (2024)
Reported Trait: Oral cavity cancer OR: 1.2 [1.1, 1.31] β€” β€” age, sex, genotype array, and PC 1 to 10 β€”
PPM030761 PGS012588
(PRS_HNC_OPC)
PSS012283|
Multi-ancestry (including European)|
37,901 individuals
PGP000822 |
Lee YC et al. BMC Med (2024)
Reported Trait: Oropharynx cancer OR: 1.24 [1.08, 1.42] β€” β€” age, sex, ethnicity, and PC 1 to 10 β€”
PPM030757 PGS012588
(PRS_HNC_OPC)
PSS012284|
European Ancestry|
307,295 individuals
PGP000822 |
Lee YC et al. BMC Med (2024)
Reported Trait: Oropharynx cancer OR: 1.09 [1.02, 1.17] β€” β€” age, sex, genotype array, and PC 1 to 10 β€”
PPM036637 PGS018455
(TPMI_145_Lassosum2)
PSS012363|
East Asian Ancestry|
19,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of mouth β€” AUROC: 0.70787 RΒ²: 0.03129 sex, age, array, PCs 1-10 β€”
PPM036638 PGS018456
(TPMI_145_LDpred2)
PSS012362|
East Asian Ancestry|
19,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of mouth β€” AUROC: 0.71056 RΒ²: 0.03205 sex, age, array, PCs 1-10 β€”
PPM036639 PGS018457
(TPMI_145_MegaPRS)
PSS012364|
East Asian Ancestry|
19,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of mouth β€” AUROC: 0.71117 RΒ²: 0.03213 sex, age, array, PCs 1-10 β€”
PPM036640 PGS018458
(TPMI_145_PRS-CS)
PSS012365|
East Asian Ancestry|
19,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of mouth β€” AUROC: 0.7103 RΒ²: 0.03215 sex, age, array, PCs 1-10 β€”
PPM036641 PGS018459
(TPMI_145_SBayesR)
PSS012366|
East Asian Ancestry|
19,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of mouth β€” AUROC: 0.71212 RΒ²: 0.03258 sex, age, array, PCs 1-10 β€”
PPM036642 PGS018460
(TPMI_145.2_Lassosum2)
PSS012358|
East Asian Ancestry|
19,060 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of tongue β€” AUROC: 0.68616 RΒ²: 0.01171 sex, age, array, PCs 1-10 β€”
PPM036643 PGS018461
(TPMI_145.2_LDpred2)
PSS012357|
East Asian Ancestry|
19,060 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of tongue β€” AUROC: 0.68599 RΒ²: 0.01168 sex, age, array, PCs 1-10 β€”
PPM036644 PGS018462
(TPMI_145.2_MegaPRS)
PSS012359|
East Asian Ancestry|
19,060 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of tongue β€” AUROC: 0.68604 RΒ²: 0.0117 sex, age, array, PCs 1-10 β€”
PPM036645 PGS018463
(TPMI_145.2_PRS-CS)
PSS012360|
East Asian Ancestry|
19,060 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of tongue β€” AUROC: 0.68622 RΒ²: 0.0117 sex, age, array, PCs 1-10 β€”
PPM036646 PGS018464
(TPMI_145.2_SBayesR)
PSS012361|
East Asian Ancestry|
19,060 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of tongue β€” AUROC: 0.68563 RΒ²: 0.01173 sex, age, array, PCs 1-10 β€”
PPM036652 PGS018470
(TPMI_149.2_Lassosum2)
PSS012368|
East Asian Ancestry|
19,070 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of nasopharynx β€” AUROC: 0.7073 RΒ²: 0.01637 sex, age, array, PCs 1-10 β€”
PPM036653 PGS018471
(TPMI_149.2_LDpred2)
PSS012367|
East Asian Ancestry|
19,070 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of nasopharynx β€” AUROC: 0.71186 RΒ²: 0.01717 sex, age, array, PCs 1-10 β€”
PPM036654 PGS018472
(TPMI_149.2_MegaPRS)
PSS012369|
East Asian Ancestry|
19,070 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of nasopharynx β€” AUROC: 0.69527 RΒ²: 0.01463 sex, age, array, PCs 1-10 β€”
PPM036655 PGS018473
(TPMI_149.2_PRS-CS)
PSS012370|
East Asian Ancestry|
19,070 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of nasopharynx β€” AUROC: 0.70955 RΒ²: 0.0161 sex, age, array, PCs 1-10 β€”
PPM036656 PGS018474
(TPMI_149.2_SBayesR)
PSS012371|
East Asian Ancestry|
19,070 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of nasopharynx β€” AUROC: 0.69866 RΒ²: 0.01489 sex, age, array, PCs 1-10 β€”
PPM036657 PGS018475
(TPMI_150_Lassosum2)
PSS012378|
East Asian Ancestry|
15,479 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of esophagus β€” AUROC: 0.67404 RΒ²: 0.00986 sex, age, array, PCs 1-10 β€”
PPM036658 PGS018476
(TPMI_150_LDpred2)
PSS012377|
East Asian Ancestry|
15,479 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of esophagus β€” AUROC: 0.67403 RΒ²: 0.00995 sex, age, array, PCs 1-10 β€”
PPM036659 PGS018477
(TPMI_150_MegaPRS)
PSS012379|
East Asian Ancestry|
15,479 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of esophagus β€” AUROC: 0.67808 RΒ²: 0.01048 sex, age, array, PCs 1-10 β€”
PPM036660 PGS018478
(TPMI_150_PRS-CS)
PSS012380|
East Asian Ancestry|
15,479 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of esophagus β€” AUROC: 0.67763 RΒ²: 0.01012 sex, age, array, PCs 1-10 β€”
PPM036661 PGS018479
(TPMI_150_SBayesR)
PSS012381|
East Asian Ancestry|
15,479 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of esophagus β€” AUROC: 0.67327 RΒ²: 0.00967 sex, age, array, PCs 1-10 β€”
PPM036662 PGS018480
(TPMI_151_Lassosum2)
PSS012383|
East Asian Ancestry|
15,552 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of stomach β€” AUROC: 0.61614 RΒ²: 0.00612 sex, age, array, PCs 1-10 β€”
PPM036663 PGS018481
(TPMI_151_LDpred2)
PSS012382|
East Asian Ancestry|
15,552 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of stomach β€” AUROC: 0.61559 RΒ²: 0.00612 sex, age, array, PCs 1-10 β€”
PPM036664 PGS018482
(TPMI_151_MegaPRS)
PSS012384|
East Asian Ancestry|
15,552 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of stomach β€” AUROC: 0.61564 RΒ²: 0.00613 sex, age, array, PCs 1-10 β€”
PPM036665 PGS018483
(TPMI_151_PRS-CS)
PSS012385|
East Asian Ancestry|
15,552 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of stomach β€” AUROC: 0.61565 RΒ²: 0.00612 sex, age, array, PCs 1-10 β€”
PPM036666 PGS018484
(TPMI_151_SBayesR)
PSS012386|
East Asian Ancestry|
15,552 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of stomach β€” AUROC: 0.61721 RΒ²: 0.00624 sex, age, array, PCs 1-10 β€”
PPM036667 PGS018485
(TPMI_153_Lassosum2)
PSS012398|
East Asian Ancestry|
17,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colorectal cancer β€” AUROC: 0.64113 RΒ²: 0.02832 sex, age, array, PCs 1-10 β€”
PPM036668 PGS018486
(TPMI_153_LDpred2)
PSS012397|
East Asian Ancestry|
17,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colorectal cancer β€” AUROC: 0.64682 RΒ²: 0.03106 sex, age, array, PCs 1-10 β€”
PPM036669 PGS018487
(TPMI_153_MegaPRS)
PSS012399|
East Asian Ancestry|
17,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colorectal cancer β€” AUROC: 0.64424 RΒ²: 0.03087 sex, age, array, PCs 1-10 β€”
PPM036670 PGS018488
(TPMI_153_PRS-CS)
PSS012400|
East Asian Ancestry|
17,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colorectal cancer β€” AUROC: 0.64278 RΒ²: 0.03042 sex, age, array, PCs 1-10 β€”
PPM036671 PGS018489
(TPMI_153_SBayesR)
PSS012401|
East Asian Ancestry|
17,219 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colorectal cancer β€” AUROC: 0.64001 RΒ²: 0.02799 sex, age, array, PCs 1-10 β€”
PPM036672 PGS018490
(TPMI_153.2_Lassosum2)
PSS012388|
East Asian Ancestry|
17,023 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colon cancer β€” AUROC: 0.62822 RΒ²: 0.0152 sex, age, array, PCs 1-10 β€”
PPM036673 PGS018491
(TPMI_153.2_LDpred2)
PSS012387|
East Asian Ancestry|
17,023 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colon cancer β€” AUROC: 0.63975 RΒ²: 0.01799 sex, age, array, PCs 1-10 β€”
PPM036674 PGS018492
(TPMI_153.2_MegaPRS)
PSS012389|
East Asian Ancestry|
17,023 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colon cancer β€” AUROC: 0.62461 RΒ²: 0.01543 sex, age, array, PCs 1-10 β€”
PPM036675 PGS018493
(TPMI_153.2_PRS-CS)
PSS012390|
East Asian Ancestry|
17,023 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colon cancer β€” AUROC: 0.63049 RΒ²: 0.01696 sex, age, array, PCs 1-10 β€”
PPM036676 PGS018494
(TPMI_153.2_SBayesR)
PSS012391|
East Asian Ancestry|
17,023 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Colon cancer β€” AUROC: 0.6282 RΒ²: 0.0159 sex, age, array, PCs 1-10 β€”
PPM036682 PGS018500
(TPMI_155_Lassosum2)
PSS012408|
East Asian Ancestry|
15,739 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of liver and intrahepatic bile duct β€” AUROC: 0.65034 RΒ²: 0.0208 sex, age, array, PCs 1-10 β€”
PPM036683 PGS018501
(TPMI_155_LDpred2)
PSS012407|
East Asian Ancestry|
15,739 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of liver and intrahepatic bile duct β€” AUROC: 0.6513 RΒ²: 0.02088 sex, age, array, PCs 1-10 β€”
PPM036684 PGS018502
(TPMI_155_MegaPRS)
PSS012409|
East Asian Ancestry|
15,739 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of liver and intrahepatic bile duct β€” AUROC: 0.64296 RΒ²: 0.01875 sex, age, array, PCs 1-10 β€”
PPM036685 PGS018503
(TPMI_155_PRS-CS)
PSS012410|
East Asian Ancestry|
15,739 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of liver and intrahepatic bile duct β€” AUROC: 0.65049 RΒ²: 0.02078 sex, age, array, PCs 1-10 β€”
PPM036686 PGS018504
(TPMI_155_SBayesR)
PSS012411|
East Asian Ancestry|
15,739 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Cancer of liver and intrahepatic bile duct β€” AUROC: 0.64158 RΒ²: 0.01837 sex, age, array, PCs 1-10 β€”
PPM036687 PGS018505
(TPMI_155.1_Lassosum2)
PSS012403|
East Asian Ancestry|
15,712 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Malignant neoplasm of liver primary β€” AUROC: 0.65226 RΒ²: 0.01923 sex, age, array, PCs 1-10 β€”
PPM036688 PGS018506
(TPMI_155.1_LDpred2)
PSS012402|
East Asian Ancestry|
15,712 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Malignant neoplasm of liver primary β€” AUROC: 0.65258 RΒ²: 0.0191 sex, age, array, PCs 1-10 β€”
PPM036689 PGS018507
(TPMI_155.1_MegaPRS)
PSS012404|
East Asian Ancestry|
15,712 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Malignant neoplasm of liver primary β€” AUROC: 0.64163 RΒ²: 0.01662 sex, age, array, PCs 1-10 β€”
PPM036690 PGS018508
(TPMI_155.1_PRS-CS)
PSS012405|
East Asian Ancestry|
15,712 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Malignant neoplasm of liver primary β€” AUROC: 0.6475 RΒ²: 0.01834 sex, age, array, PCs 1-10 β€”
PPM036691 PGS018509
(TPMI_155.1_SBayesR)
PSS012406|
East Asian Ancestry|
15,712 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Malignant neoplasm of liver primary β€” AUROC: 0.64158 RΒ²: 0.01663 sex, age, array, PCs 1-10 β€”
PPM036692 PGS018510
(TPMI_158_Lassosum2)
PSS012413|
East Asian Ancestry|
15,596 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Neoplasm of unspecified nature of digestive system β€” AUROC: 0.58927 RΒ²: 0.00505 sex, age, array, PCs 1-10 β€”
PPM036693 PGS018511
(TPMI_158_LDpred2)
PSS012412|
East Asian Ancestry|
15,596 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Neoplasm of unspecified nature of digestive system β€” AUROC: 0.58973 RΒ²: 0.00508 sex, age, array, PCs 1-10 β€”
PPM036694 PGS018512
(TPMI_158_MegaPRS)
PSS012414|
East Asian Ancestry|
15,596 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Neoplasm of unspecified nature of digestive system β€” AUROC: 0.59041 RΒ²: 0.00551 sex, age, array, PCs 1-10 β€”
PPM036695 PGS018513
(TPMI_158_PRS-CS)
PSS012415|
East Asian Ancestry|
15,596 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Neoplasm of unspecified nature of digestive system β€” AUROC: 0.58906 RΒ²: 0.00519 sex, age, array, PCs 1-10 β€”
PPM036696 PGS018514
(TPMI_158_SBayesR)
PSS012416|
East Asian Ancestry|
15,596 individuals
PGP000835 |
Chen HH et al. Nature (2025)
Reported Trait: Neoplasm of unspecified nature of digestive system β€” AUROC: 0.58891 RΒ²: 0.0053 sex, age, array, PCs 1-10 β€”

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
PSS000120 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): 20010, 20020, 20030, 20040, 20050, 20060, 20070, 20080, 20090, and 20100 β€”
[
  • 1,223 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European β€” GERA, UKB β€”
PSS012413 235.2, 235.5, 239.0,D37.1, D37.2, D37.3, D37.4, D37.5, D37.8, D37.9, D49.0 β€”
[
  • 274 cases
  • , 15,322 controls
]
,
43.31 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS000122 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): 21100 β€”
[
  • 665 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European β€” GERA, UKB β€”
PSS012414 235.2, 235.5, 239.0,D37.1, D37.2, D37.3, D37.4, D37.5, D37.8, D37.9, D49.0 β€”
[
  • 274 cases
  • , 15,322 controls
]
,
43.31 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012415 235.2, 235.5, 239.0,D37.1, D37.2, D37.3, D37.4, D37.5, D37.8, D37.9, D49.0 β€”
[
  • 274 cases
  • , 15,322 controls
]
,
43.31 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012416 235.2, 235.5, 239.0,D37.1, D37.2, D37.3, D37.4, D37.5, D37.8, D37.9, D49.0 β€”
[
  • 274 cases
  • , 15,322 controls
]
,
43.31 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS011697 β€” β€” 113,256 individuals β€” European β€” UKB β€”
PSS008154 β€” β€” 6,010 individuals β€” South Asian India (South Asia) UKB β€”
PSS011433 β€” β€”
[
  • 519 cases
  • , 40,129 controls
]
β€” European β€” UKB β€”
PSS011437 β€” β€”
[
  • 134 cases
  • , 40,743 controls
]
β€” European β€” UKB β€”
PSS010128 Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. Median = 7.0 years
[
  • 1,458 cases
  • , 237,038 controls
]
Median = 57.0 years Other, NR All ancestral backgrounds within UKB UKB Cohort for integrated model development in women
PSS011444 Participants were classified according to the most advanced finding at colonoscopy (CRC, AA, non-advanced adenoma, other or none of above). Fecal hemoglobin concentrations were measured using Ridascreen Haemoglobin which is based on an enzyme immunoassay (participants recruited until December 2008), and FOB Gold which is based on a latex agglutination assay (participants recruited from December 2008 on). In both groups of participants, fully automated FIT analyses were conducted, blinded with respect to colonoscopy results, using Tecan Freedom Evolyzer (Ridascreen Haemoglobin) and Abbott Architect c8000 (FOB Gold), respectively. β€”
[
  • 523 cases
  • , 3,512 controls
]
,
51.4 % Male samples
Mean = 61.8 years European, Not reported β€” BLITZ β€”
PSS011445 Participants were classified according to the most advanced finding at colonoscopy (CRC, AA, non-advanced adenoma, other or none of above). Fecal hemoglobin concentrations were measured using Ridascreen Haemoglobin which is based on an enzyme immunoassay (participants recruited until December 2008), and FOB Gold which is based on a latex agglutination assay (participants recruited from December 2008 on). In both groups of participants, fully automated FIT analyses were conducted, blinded with respect to colonoscopy results, using Tecan Freedom Evolyzer (Ridascreen Haemoglobin) and Abbott Architect c8000 (FOB Gold), respectively. β€”
[
  • 172 cases
  • , 1,099 controls
]
,
53.5 % Male samples
Mean = 63.1 years European, Not reported β€” BLITZ β€”
PSS011705 β€” β€”
[
  • 6,609 cases
  • , 17,713 controls
]
,
55.6 % Male samples
Mean = 62.07 years
Sd = 5.21 years
European β€” PLCO β€”
PSS011706 β€” β€”
[
  • 672 cases
  • , 1,672 controls
]
,
46.72 % Male samples
Mean = 57.59 years
Sd = 8.47 years
East Asian
(Chinese)
β€” ZJCRC β€”
PSS012368 147,C11 β€”
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012369 147,C11 β€”
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012370 147,C11 β€”
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS009593 β€” β€”
[
  • 592 cases
  • , 9,074 controls
]
β€” Not reported β€” TCGA β€”
PSS011058 β€” β€”
[
  • 96 cases
  • , 6,870 controls
]
,
42.1 % Male samples
Mean = 55.8 years
Range = [20.0, 90.0] years
East Asian β€” GERA β€”
PSS011059 β€” β€”
[
  • 1,311 cases
  • , 71,480 controls
]
,
41.6 % Male samples
Mean = 62.3 years
Range = [20.0, 90.0] years
European β€” GERA β€”
PSS011060 β€” β€”
[
  • 70 cases
  • , 6,590 controls
]
,
38.7 % Male samples
Mean = 55.0 years
Range = [20.0, 90.0] years
Hispanic or Latin American β€” GERA β€”
PSS011057 β€” β€”
[
  • 56 cases
  • , 5,193 controls
]
,
65.5 % Male samples
Mean = 61.6 years
Range = [20.0, 90.0] years
African American or Afro-Caribbean
(African American)
β€” GERA β€”
PSS011061 The colorectal cancer case subjects were defined as those who had at least two ICD9/10 codes for CRC. Control sub- jects had zero ICD9/10 codes for CRC. Participants with a single ICD9/10 code for CRC were excluded from analysis. β€”
[
  • 573 cases
  • , 37,641 controls
]
β€” European β€” eMERGE β€”
PSS012371 147,C11 β€”
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
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 β€”
PSS009596 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. β€”
[
  • 251 cases
  • , 952 controls
]
β€” Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB β€”
PSS009597 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. β€”
[
  • 37 cases
  • , 205 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB β€”
PSS009598 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. β€”
[
  • 791 cases
  • , 9,468 controls
]
β€” Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB β€”
PSS009599 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. β€”
[
  • 55 cases
  • , 219 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB β€”
PSS009600 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. ο»Ώο»ΏLSDM 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. β€”
[
  • 135 cases
  • , 70 controls
]
β€” Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB β€”
PSS009601 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. NODM is dο»Ώefined 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. β€”
[
  • 116 cases
  • , 882 controls
]
β€” Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB β€”
PSS011062 β€” β€”
[
  • 2,420 cases
  • , 9,605 controls
]
,
50.5 % Male samples
Mean = 64.5 years Asian unspecified β€” GERA, MG-JPN β€”
PSS011063 β€” β€”
[
  • 1,954 cases
  • , 11,869 controls
]
,
44.0 % Male samples
Mean = 61.33 years African American or Afro-Caribbean β€” GERA, MG-AA, eMERGE β€”
PSS011064 β€” β€”
[
  • 1,681 cases
  • , 8,696 controls
]
,
47.5 % Male samples
Mean = 64.0 years Hispanic or Latin American β€” GERA, HCCS β€”
PSS011065 β€” β€”
[
  • 3,651 cases
  • , 115,105 controls
]
,
52.75 % Male samples
Mean = 65.75 years European β€” BCC, CPSII, GERA, eMERGE β€”
PSS011070 β€” β€” 332 individuals,
0.0 % Male samples
Median = 58.0 years
IQR = [52.0, 64.0] years
East Asian
(Chinese)
β€” SCHS β€”
PSS011071 β€” β€” 409 individuals,
100.0 % Male samples
Median = 59.0 years
IQR = [52.0, 65.0] years
East Asian
(Chinese)
β€” SCHS β€”
PSS007724 β€” β€” 2,362 individuals β€” African American or Afro-Caribbean Carribean UKB β€”
PSS009272 β€” β€” 18,722 individuals β€” European UK (+ Ireland) UKB β€”
PSS009913 β€” β€”
[
  • 5,107 cases
  • , 8,845 controls
]
β€” European β€” PANSCAN β€”
PSS009918 β€” β€” 5,306 individuals,
51.9 % Male samples
Mean = 62.1 years European β€” BLITZ β€”
PSS012390 153, 159.0, 209.1, 230.3, V10.05,C18, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.029, D01.0, Z85.03 β€”
[
  • 442 cases
  • , 16,581 controls
]
,
44.12 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS009923 β€” β€”
[
  • 868 cases
  • , 868 controls
]
β€” East Asian
(Chinese)
β€” NR β€”
PSS009924 β€” β€”
[
  • 622 cases
  • , 832 controls
]
β€” East Asian
(Korean)
β€” NR β€”
PSS011937 ICD-10: C15 Median = 11.33 years
Range = [10.18, 12.26] years
[
  • 499 cases
  • , 99,720 controls
]
,
42.8 % Male samples
Mean = 53.69 years
Sd = 11.01 years
East Asian
(Chinese)
β€” CKB β€”
PSS011938 ICD-10: C16 Median = 11.33 years
Range = [10.18, 12.26] years
[
  • 745 cases
  • , 99,474 controls
]
,
42.8 % Male samples
Mean = 53.69 years
Sd = 11.01 years
East Asian
(Chinese)
β€” CKB β€”
PSS011936 ICD-10: C18-20 Median = 11.33 years
Range = [10.18, 12.26] years
[
  • 740 cases
  • , 99,479 controls
]
,
42.8 % Male samples
Mean = 53.69 years
Sd = 11.01 years
East Asian
(Chinese)
β€” CKB β€”
PSS011940 ICD-10: C25 Median = 11.33 years
Range = [10.18, 12.26] years
[
  • 170 cases
  • , 100,049 controls
]
,
42.8 % Male samples
Mean = 53.69 years
Sd = 11.01 years
East Asian
(Chinese)
β€” CKB β€”
PSS012391 153, 159.0, 209.1, 230.3, V10.05,C18, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.029, D01.0, Z85.03 β€”
[
  • 442 cases
  • , 16,581 controls
]
,
44.12 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS009932 MetS is defined as having any three or more of five MetS components, including central obesity, hypertension, dyslipidemia, hypertriglyceridemia, and hyperglyce- mia, according to the National Cholesterol Education Programme Adult Treatment Panel III criteria (NCEP- ATP III) β€”
[
  • 5,494 cases
  • , 424,542 controls
]
β€” European β€” UKB β€”
PSS008826 β€” β€” 3,757 individuals β€” African unspecified Nigeria (West Africa) UKB β€”
PSS009645 β€” β€”
[
  • 4,696 cases
  • , 3,709 controls
]
β€” Not reported β€” DACHS β€”
PSS000855 Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by theΒ International Classification of Diseases,Β Ninth RevisionΒ (ICD-9) or theΒ International Classification of Diseases,Β Tenth RevisionΒ (ICD-10). Colorectal Cancer=(ICD-9 = 153, 154.1 or ICD-10 = C18, C20) Median = 5.8 years
[
  • 2,458 cases
  • , 398,354 controls
]
,
46.5 % Male samples
β€” European β€” UKB β€”
PSS010076 C18, C19, C20 β€”
[
  • 4,525 cases
  • , 269,544 controls
]
β€” European
(British)
β€” UKB Controls were samples without any cancer diagnosis or self-reported cancer
PSS010077 C15, histology was one of the followings: Adenocarcinoma, NOS; Adenocarcinoma, intestinal type; Adenocarcinoma in tubulovillous adenoma β€”
[
  • 482 cases
  • , 269,544 controls
]
β€” European
(British)
β€” UKB Controls were samples without any cancer diagnosis or self-reported cancer
PSS000859 Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by theΒ International Classification of Diseases,Β Ninth RevisionΒ (ICD-9) or theΒ International Classification of Diseases,Β Tenth RevisionΒ (ICD-10). Pancreatic Cancer=(ICD-9 = 157 or ICD-10 = C25) Median = 5.8 years
[
  • 432 cases
  • , 400,380 controls
]
,
46.5 % Male samples
β€” European β€” UKB β€”
PSS012255 β€” β€”
[
  • 2,585 cases
  • , 9,362 controls
]
β€” European β€” UKB β€”
PSS012256 β€” β€”
[
  • 2,387 cases
  • , 8,579 controls
]
β€” European β€” UKB β€”
PSS012257 β€” β€”
[
  • 198 cases
  • , 783 controls
]
β€” European β€” UKB β€”
PSS009939 β€” β€” 39,444 individuals β€” European
(Finnish)
β€” FinnGen β€”
PSS010092 β€” β€”
[
  • 1,289 cases
  • , 1,284 controls
]
β€” European β€” CORSA β€”
PSS010093 β€” β€”
[
  • 727 cases
  • , 1,452 controls
]
β€” East Asian
(Chinese)
β€” NR JSCRC
PSS010094 β€” β€” 355,543 individuals β€” European β€” UKB β€”
PSS009661 esophageal cancer (ICD-9 = 150 or ICD-10 = C15) β€” 406 individuals β€” European β€” UKB β€”
PSS009662 gastric cancer (ICD- 9 = 151 or ICD-10 = C16) β€” 272 individuals β€” European β€” UKB β€”
PSS012404 155.0, V10.07,C22.0, C22.2, C22.3, C22.4, C22.7, C22.8, Z85.05 β€”
[
  • 390 cases
  • , 15,322 controls
]
,
43.78 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012405 155.0, V10.07,C22.0, C22.2, C22.3, C22.4, C22.7, C22.8, Z85.05 β€”
[
  • 390 cases
  • , 15,322 controls
]
,
43.78 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS000535 PheCode:145; ICD9CM:140.0, 140.1, 140.3, 140.4, 140.5, 140.6, 140.8, 140.9, 141.0, 141.1, 141.2, 141.3, 141.4, 141.5, 141.6, 141.8, 141.9, 142.0, 142.1, 142.2, 142.8, 142.9, 143.0, 143.1, 143.8, 143.9, 144.0, 144.1, 144.8, 144.9, 145.0, 145.1, 145.2, 145.3, 145.4, 145.5, 145.6, 145.8, 145.9, 230.0, V10.01; ICD10CM:C00, C00.0, C00.1, C00.2, C00.3, C00.4, C00.5, C00.6, C00.8, C00.9, C01, C02, C02.0, C02.1, C02.2, C02.3, C02.4, C02.8, C02.9, C03, C03.0, C03.1, C03.9, C04, C04.0, C04.1, C04.8, C04.9, C05, C05.0, C05.1, C05.2, C05.8, C05.9, C06, C06.0, C06.1, C06.2, C06.8, C06.80, C06.89, C06.9, C07, C08, C08.0, C08.1, C08.9, D00.0, D00.00, D00.01, D00.02, D00.03, D00.04, D00.05, D00.06, D00.07, D00.08 β€”
[
  • 578 cases
  • , 5,750 controls
]
β€” European β€” MGI β€”
PSS012406 155.0, V10.07,C22.0, C22.2, C22.3, C22.4, C22.7, C22.8, Z85.05 β€”
[
  • 390 cases
  • , 15,322 controls
]
,
43.78 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS000537 PheCode:150; ICD9CM:150.0, 150.1, 150.2, 150.3, 150.4, 150.5, 150.8, 150.9, 230.1, V10.03; ICD10CM:C15, C15.3, C15.4, C15.5, C15.8, C15.9, D00.1 β€”
[
  • 188 cases
  • , 1,876 controls
]
β€” European β€” MGI β€”
PSS000538 PheCode:153.2; ICD9CM:153.0, 153.1, 153.2, 153.3, 153.4, 153.5, 153.6, 153.7, 153.8, 153.9, 159.0, 209.10, 209.11, 209.12, 209.13, 209.14, 209.15, 209.16, 230.3, V10.05; ICD10CM:C18, C18.0, C18.1, C18.2, C18.3, C18.4, C18.5, C18.6, C18.7, C18.8, C18.9, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.029, D01.0 β€”
[
  • 462 cases
  • , 4,569 controls
]
β€” European β€” MGI β€”
PSS000539 PheCode:153.3; ICD9CM:154.0, 154.1, 154.2, 154.3, 209.17, 230.4, 230.5, 230.6, 796.70, 796.71, 796.72, 796.73, 796.74, 796.76, V10.06; ICD10CM:C19, C20, C21.0, C21.1, C7A.026, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619 β€”
[
  • 325 cases
  • , 3,232 controls
]
β€” European β€” MGI β€”
PSS001013 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. β€”
[
  • 2,725 cases
  • , 390,998 controls
]
β€” European β€” UKB β€”
PSS000540 PheCode:153; ICD9CM:153.0, 153.1, 153.2, 153.3, 153.4, 153.5, 153.6, 153.7, 153.8, 153.9, 154.0, 154.1, 154.2, 154.3, 154.8, 159.0, 209.10, 209.11, 209.12, 209.13, 209.14, 209.15, 209.16, 209.17, 230.3, 230.4, 230.5, 230.6, 796.70, 796.71, 796.72, 796.73, 796.74, 796.76, V10.05, V10.06; ICD10CM:C18, C18.0, C18.1, C18.2, C18.3, C18.4, C18.5, C18.6, C18.7, C18.8, C18.9, C19, C20, C21.0, C21.1, C21.2, C21.8, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.026, C7A.029, D01.0, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619 β€”
[
  • 607 cases
  • , 6,026 controls
]
β€” European β€” MGI β€”
PSS008378 β€” β€” 1,123 individuals β€” Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB β€”
PSS001020 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. β€”
[
  • 481 cases
  • , 390,998 controls
]
β€” European β€” UKB β€”
PSS001022 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. β€”
[
  • 493 cases
  • , 390,998 controls
]
β€” European β€” UKB β€”
PSS011326 β€” β€”
[
  • 751 cases
  • , 3,058 controls
]
,
56.4 % Male samples
Mean = 60.9 years
Sd = 6.15 years
European, Asian unspecified, African unspecified, East Asian, Not reported European (>97%), Asian unspecified, African unspecified, East Asian, Not reported UKB β€”
PSS011327 β€” β€”
[
  • 1,031 cases
  • , 123,990 controls
]
,
44.9 % Male samples
Mean = 54.9 years
Sd = 7.9 years
European, Asian unspecified, African unspecified, East Asian, Not reported European (>95%), Asian unspecified, African unspecified, East Asian, Not reported UKB β€”
PSS000893 Participants were 50 years of age or older. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. β€”
[
  • 1,068 cases
  • , 66,724 controls
]
Range = [50.0, 100.0] years European β€” RPGEH β€”
PSS000894 Participants were under 50 years of age. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. β€”
[
  • 25 cases
  • , 26,913 controls
]
Range = [0.0, 50.0] years European β€” RPGEH β€”
PSS000251 Colorectal adenocarcinoma located in the distal colon confirmed by medical records, pathology reports, or death certificate β€”
[
  • 1,026 cases
  • , 3,860 controls
]
,
0.0 % Male samples
β€” European β€” 6 cohorts
  • DACHS
  • ,DALS
  • ,HPFS
  • ,NHS
  • ,VITAL
  • ,WHI
Training and test split not relevant to PGS
PSS000252 Colorectal adenocarcinoma located in the distal colon confirmed by medical records, pathology reports, or death certificate β€”
[
  • 827 cases
  • , 2,442 controls
]
,
100.0 % Male samples
β€” European β€” 6 cohorts
  • DACHS
  • ,DALS
  • ,HPFS
  • ,NHS
  • ,VITAL
  • ,WHI
Training and test split not relevant to PGS
PSS000253 Colorectal adenocarcinoma located in the proximal colon confirmed by medical records, pathology reports, or death certificate β€”
[
  • 1,670 cases
  • , 3,860 controls
]
,
0.0 % Male samples
β€” European β€” 6 cohorts
  • DACHS
  • ,DALS
  • ,HPFS
  • ,NHS
  • ,VITAL
  • ,WHI
Training and test split not relevant to PGS
PSS000254 Colorectal adenocarcinoma located in the proximal colon confirmed by medical records, pathology reports, or death certificate β€”
[
  • 850 cases
  • , 2,442 controls
]
,
100.0 % Male samples
β€” European β€” 6 cohorts
  • DACHS
  • ,DALS
  • ,HPFS
  • ,NHS
  • ,VITAL
  • ,WHI
Training and test split not relevant to PGS
PSS000255 Colorectal adenocarcinoma located in the rectum confirmed by medical records, pathology reports, or death certificate β€”
[
  • 713 cases
  • , 3,860 controls
]
,
0.0 % Male samples
β€” European β€” 6 cohorts
  • DACHS
  • ,DALS
  • ,HPFS
  • ,NHS
  • ,VITAL
  • ,WHI
Training and test split not relevant to PGS
PSS000256 Colorectal adenocarcinoma located in the rectum confirmed by medical records, pathology reports, or death certificate β€”
[
  • 725 cases
  • , 2,442 controls
]
,
100.0 % Male samples
β€” European β€” 6 cohorts
  • DACHS
  • ,DALS
  • ,HPFS
  • ,NHS
  • ,VITAL
  • ,WHI
Training and test split not relevant to PGS
PSS000257 Colorectal adenocarcinoma confirmed by medical records, pathology reports, or death certificate β€”
[
  • 380 cases
  • , 353 controls
]
,
0.0 % Male samples
β€” European β€” 6 cohorts
  • DACHS
  • ,DALS
  • ,HPFS
  • ,NHS
  • ,VITAL
  • ,WHI
Training and test split not relevant to PGS
PSS000258 Colorectal adenocarcinoma confirmed by medical records, pathology reports, or death certificate β€”
[
  • 486 cases
  • , 516 controls
]
,
100.0 % Male samples
β€” European β€” 6 cohorts
  • DACHS
  • ,DALS
  • ,HPFS
  • ,NHS
  • ,VITAL
  • ,WHI
Training and test split not relevant to PGS
PSS000564 PheCode:153; ICD9:154.8; ICD10:C18.0, C18.1, C18.2, C18.3, C18.4, C18.5, C18.6, C18.7, C18.8, C18.9, C19, C20, C21.0, C21.1, C21.8, C26.0, D01.0, D01.1, D01.2, D01.3 β€”
[
  • 2,271 cases
  • , 22,725 controls
]
β€” European β€” UKB β€”
PSS000259 β€” β€”
[
  • 1,336 cases
  • , 2,744 controls
]
,
57.21 % Male samples
Range = [25.0, 90.0] years European
(Spanish)
β€” MCC-Spain β€”
PSS000565 PheCode:157; ICD9:157, 157.0, 157.1, 157.2, 157.3, 157.4, 157.8, 157.9; ICD10:C25.0, C25.1, C25.2, C25.3, C25.4, C25.7, C25.8, C25.9 β€”
[
  • 327 cases
  • , 3,264 controls
]
β€” European β€” UKB β€”
PSS000897 Participants were 50 years of age or older with a history of colorectal cancer. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. β€”
[
  • 202 cases
  • , 6,466 controls
]
Range = [50.0, 100.0] years European β€” RPGEH β€”
PSS011328 β€” β€” 133,830 individuals,
0.0 % Male samples
β€” European
(British)
β€” UKB β€”
PSS011329 β€” β€” 115,207 individuals,
100.0 % Male samples
β€” European
(British)
β€” UKB β€”
PSS000086 β€” β€”
[
  • 8,580 cases
  • , 13,050 controls
]
β€” East Asian β€” 8 cohorts
  • COLON
  • ,CORSA
  • ,DACHS
  • ,EPIC
  • ,HPFS
  • ,MGI
  • ,NHS
  • ,UKB
β€”
PSS000087 β€” β€”
[
  • 12,952 cases
  • , 48,383 controls
]
β€” European β€” 8 cohorts
  • COLON
  • ,CORSA
  • ,DACHS
  • ,EPIC
  • ,HPFS3
  • ,MGI
  • ,NHS3
  • ,UKB
β€”
PSS011779 β€” β€” 306,857 individuals β€” European β€” UKB β€”
PSS001030 Cases included individuals with polyps. Of the 5331 cases, 2952 had conventional adenomas (CAs), 1585 had serrated polyps (SAs) and 794 had sychronous CAs and SPs. CAs were defined as tubular, tubulovillous and villous adenomas and adenomas with high-grade dysplasia. Advanced CAs were defined by at least one CA β‰₯10 mm in diameter or with advanced histology (tubulovillous/villous histological features or high-grade/severe dysplasia) or β‰₯3 CAs regardless of histology or size. SPs were defined as hyperplastic polyps and mixed/serrated adenomas. Individuals at high risk of malignancy were defined as having SPs located in the proximal colon or with a size of β‰₯10 mm. Mixed/serrated ademonas were defined as both mixed polyps (those with both adenomatous and hyperplastic changes in histology) and polyps with any serrated diagnosis (e.g. serrated adenomas, serrated polyps and SSA/Ps). If a participant had both CAs and SPs in an endoscopy, each type of the polyps were recorded separately, and considered the patient as a synchronous SP and CA case. β€”
[
  • 5,331 cases
  • , 22,095 controls
]
,
30.0 % Male samples
Mean = 63.2 years
Sd = 10.0 years
European β€” HPFS, NHS, NHS2 β€”
PSS012274 β€” β€”
[
  • 11,519 cases
  • , 16,967 controls
]
,
0.0 % Male samples
β€” European β€” 23 cohorts
  • CCFR
  • ,CLUEII
  • ,CORECT
  • ,CPSII
  • ,CRCGEN
  • ,DACHS
  • ,DALS
  • ,EPIC
  • ,ESTHER_VERDI
  • ,GECCO
  • ,LCCS
  • ,MCCS
  • ,MEC
  • ,MECC
  • ,NCCCS
  • ,NFCCR
  • ,NHS
  • ,PLCO
  • ,Samsung
  • ,UKB
  • ,USC
  • ,VITAL
  • ,WHI
β€”
PSS001031 Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. β€”
[
  • 1,027 cases
  • , 1,242 controls
]
,
51.39 % Male samples
β€” East Asian
(Han-Chinese)
β€” NR Subects obtained from First Hospital of China Medical University (CMU)
PSS001032 Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. β€”
[
  • 1,152 cases
  • , 1,414 controls
]
,
53.86 % Male samples
β€” East Asian
(Han-Chinese)
β€” NR Subjects obtained from Fudan University Shanghai Cancer Center (FUSCC)
PSS001033 Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. β€”
[
  • 2,448 cases
  • , 3,017 controls
]
,
53.72 % Male samples
β€” East Asian
(Han-Chinese)
β€” NR Subjects obtained from Sun Yat-Sen University Cancer Center (SYSUCC)
PSS011340 β€” β€”
[
  • 1,306 cases
  • , 66,122 controls
]
,
46.0 % Male samples
β€” European
(White British)
β€” UKB β€”
PSS012282 β€” β€”
[
  • 856 cases
  • , 306,739 controls
]
β€” European β€” UKB β€”
PSS012283 β€” β€”
[
  • 231 cases
  • , 37,670 controls
]
β€” European, African American or Afro-Caribbean β€” PMB β€”
PSS012284 β€” β€”
[
  • 556 cases
  • , 306,739 controls
]
β€” European β€” UKB β€”
PSS009971 β€” β€” 30,716 individuals β€” European β€” MGBB β€”
PSS009971 β€” β€” 1,807 individuals β€” African unspecified
(Black)
β€” MGBB β€”
PSS009971 β€” β€” 786 individuals β€” Asian unspecified β€” MGBB β€”
PSS009971 β€” β€” 3,113 individuals β€” Other β€” MGBB β€”
PSS010129 Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. Median = 7.0 years
[
  • 1,895 cases
  • , 194,196 controls
]
Median = 58.0 years Other, NR All ancestral backgrounds within UKB UKB Cohort for integrated model development in men
PSS010130 Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. β€”
[
  • 4,230 cases
  • , 276,434 controls
]
β€” European
(British)
β€” UKB Cohort for logistic regression model testing
PSS010131 Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. β€”
[
  • 2,127 cases
  • , 276,366 controls
]
β€” European
(British)
β€” UKB Cohort for logistic regression model testing
PSS010132 Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. β€”
[
  • 611 cases
  • , 33,541 controls
]
β€” European Scottish UKB participants self-identifying as "British", "Irish", "white" or "any other white background|" UKB Cohort for logistic regression model validation (European populations)
PSS010133 Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. Median = 7.0 years
[
  • 363 cases
  • , 33,530 controls
]
β€” European Scottish UKB participants self-identifying as "British", "Irish", "white" or "any other white background|" UKB Cohort for cox regression model validation (European populations)
PSS000260 β€” β€”
[
  • 2,568 cases
  • , 2,932 controls
]
,
0.0 % Male samples
Mean (Cases) = 68.8 years
Sd (Cases) = 9.7 years
European β€” 14 cohorts
  • CPSII
  • ,DACHS
  • ,DALS
  • ,HPFS
  • ,Hawaiian_Colo2&3
  • ,KCCS
  • ,MCCS
  • ,MEC
  • ,MECC
  • ,NFCCR
  • ,NHS
  • ,PLCO
  • ,VITAL
  • ,WHI
β€”
PSS000261 β€” β€”
[
  • 2,307 cases
  • , 2,359 controls
]
,
100.0 % Male samples
Mean (Cases) = 67.8 years
Sd (Cases) = 9.7 years
European β€” 14 cohorts
  • CPSII
  • ,DACHS
  • ,DALS
  • ,HPFS
  • ,Hawaiian_Colo2&3
  • ,KCCS
  • ,MCCS
  • ,MEC
  • ,MECC
  • ,NFCCR
  • ,NHS
  • ,PLCO
  • ,VITAL
  • ,WHI
β€”
PSS000262 Excluding participants with prevalent cancer at recruitment colorectal cancer was defined as ICD codes: C18 (except C18.1, Appendix), C19 and C20 β€”
[
  • 1,623 cases
  • , 359,920 controls
]
,
45.0 % Male samples
Mean = 57.0 years
IQR = [50.0, 63.0] years
European β€” UKB Follow-up time = 1,751,445 person years
PSS000263 Excluding participants with prevalent cancer at recruitment colorectal cancer was defined as ICD codes: C18 (except C18.1, Appendix), C19 and C20 β€”
[
  • 1,294 cases
  • , 285,583 controls
]
,
46.0 % Male samples
Mean = 57.0 years
IQR = [50.0, 63.0] years
European β€” UKB Follow-up time = 1,388,191 person years
PSS007942 β€” β€” 1,719 individuals β€” East Asian China (East Asia) UKB β€”
PSS010134 Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. β€”
[
  • 255 cases
  • , 27,248 controls
]
β€” Other, NR Scottish UKB participants self-identifying as diverse ethnic groups other than "British", "Irish", "white" or "any other white background|" UKB Cohort for logistic regression model validation (minority ethnic population)
PSS010135 Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. Median = 7.0 years
[
  • 155 cases
  • , 27,155 controls
]
β€” Other, NR Scottish UKB participants self-identifying as diverse ethnic groups other than "British", "Irish", "white" or "any other white background|" UKB Cohort for cox regression model validation (minority ethnic population)
PSS011353 β€” Median = 1.12 years
[
  • 1,389 cases
  • , 414,200 controls
]
,
46.46 % Male samples
β€” European β€” UKB β€”
PSS011560 β€” β€”
[
  • 1,552 cases
  • , 198,316 controls
]
β€” European β€” EB β€”
PSS010138 β€” β€” 66,282 individuals,
42.3 % Male samples
Median = 63.0 years European β€” GERA β€”
PSS011561 β€” β€”
[
  • 5,916 cases
  • , 402,004 controls
]
β€” European β€” FinnGen β€”
PSS000597 In this study, cases were incident patients with primary pancreatic adenocarcinoma ascertained between 1984 and 2010 through self- report, report of next-of-kin, or death certificates and confirmed by medical record review and tumor registry data. Cases Diagnosed within 10 years of blood collection. Mean = 10.0 years
[
  • 304 cases
  • , 652 controls
]
,
28.1 % Male samples
β€” European β€” HPFS, NHS, PHS, WHI Overlap with GWAS samples (percentage unknown). Cross validation approach used (20% as testing sample)
PSS000598 In this study, cases were incident patients with primary pancreatic adenocarcinoma ascertained between 1984 and 2010 through self- report, report of next-of-kin, or death certificates and confirmed by medical record review and tumor registry data. β€”
[
  • 500 cases
  • , 1,091 controls
]
,
33.4 % Male samples
β€” European β€” HPFS, NHS, PHS, WHI Overlap with GWAS samples (percentage unknown). Cross validation approach used (20% as testing sample)
PSS011565 β€” β€”
[
  • 1,552 cases
  • , 68,163 controls
]
β€” European β€” HUNT β€”
PSS011566 β€” β€”
[
  • 1,599 cases
  • , 36,849 controls
]
β€” European β€” MGBB β€”
PSS010144 β€” β€”
[
  • 180 cases
  • , 1,970 controls
]
β€” European β€” UKB β€”
PSS011564 β€” β€”
[
  • 2,390 cases
  • , 27,037 controls
]
β€” European β€” GEL β€”
PSS011563 β€” β€”
[
  • 270 cases
  • , 6,748 controls
]
β€” European β€” GS:SFHS β€”
PSS011562 β€” β€”
[
  • 101 cases
  • , 44,085 controls
]
β€” European β€” G&H β€”
PSS010150 β€” β€”
[
  • 26 cases
  • , 389 controls
]
β€” European β€” UKB β€”
PSS011364 β€” β€” 56,192 individuals β€” European β€” UKB β€”
PSS010154 β€” β€”
[
  • 57 cases
  • , 394 controls
]
β€” European β€” UKB β€”
PSS011366 β€” β€”
[
  • 337,041 cases
  • , 5,458 controls
]
,
44.0 % Male samples
β€” European
(Finnish)
β€” FinnGen β€”
PSS011372 β€” β€” 713 individuals β€” European β€” PLCO β€”
PSS011373 β€” β€” 470 individuals β€” European β€” TCGA β€”
PSS011374 β€” β€” 543 individuals β€” East Asian
(Chinese)
β€” NCRCC ZJCRC
PSS000268 Unselected participants of the German screening colonoscopy program are recruited by gastroenterology practices in southern Germany in this multicenter study.Colonoscopy and histology reports are collected and information from these reports is extracted independently in a standardized way by two trained investigators, who are blinded with respect to questionnaire and genotype data and who resolve discrepancies by consensus after further review and discussion. Based on colonoscopy reports, participants are categorized with respect to the most advanced lesion: CRC, advanced adenoma (AA), non-advanced adenoma (NAA), hyperplastic polyp, or undefined polyp. Advanced adenomas are defined as adenomas β‰₯1 cm or adenomas with cellular or structural atypia. β€”
[
  • 294 cases
  • , 749 controls
]
,
61.74 % Male samples
Range = [50.0, 79.0] years European β€” BLITZ β€”
PSS000269 Unselected participants of the German screening colonoscopy program are recruited by gastroenterology practices in southern Germany in this multicenter study.Colonoscopy and histology reports are collected and information from these reports is extracted independently in a standardized way by two trained investigators, who are blinded with respect to questionnaire and genotype data and who resolve discrepancies by consensus after further review and discussion. Based on colonoscopy reports, participants are categorized with respect to the most advanced lesion: CRC, advanced adenoma (AA), non-advanced adenoma (NAA), hyperplastic polyp, or undefined polyp. Advanced adenomas are defined as adenomas β‰₯1 cm or adenomas with cellular or structural atypia. β€”
[
  • 249 cases
  • , 500 controls
]
,
60.48 % Male samples
Range = [50.0, 79.0] years European β€” BLITZ β€”
PSS000271 β€” β€”
[
  • 1,316 cases
  • , 2,207 controls
]
,
40.85 % Male samples
Mean (Cases) = 58.34 years
Sd (Cases) = 12.85 years
East Asian
(Han Chinese)
β€” NCRCC β€”
PSS011386 β€” β€” 3,025 individuals β€” Not reported β€” BLITZ β€”
PSS010988 β€” β€” 470 individuals Mean = 67.3 years European β€” TCGA β€”
PSS009046 β€” β€” 3,922 individuals β€” European Poland (NE Europe) UKB β€”
PSS011211 Colorectal cancer cases were identified through the Finnish Cancer Registry with International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) codes C18-C20 and from the death registry with ICD-10 codes C18-C20, or ICD-9 codes of 153, 1540 and 154, or ICD-8 codes of 153, 1540 and 1541. Median = 4.1 years
[
  • 8,801 cases
  • , 444,932 controls
]
,
43.9 % Male samples
Mean = 52.9 years
Sd = 18.0 years
European
(Finnish)
β€” FinnGen β€”
PSS012183 ICD-10 codes for malignant neoplasm of colon, rectosigmoid junction, and rectum β€”
[
  • 112 cases
  • , 989 controls
]
β€” Sub-Saharan African
(African/African-admixed)
β€” UKB β€”
PSS012190 Incident colorectal cancer cases identified by ICD-10 codes C18-C20 in a prospective cohort. Median = 14.0 years
[
  • 810 cases
  • , 99,409 controls
]
β€” East Asian
(Chinese)
β€” CKB Genotyped CKB participants passing QC; participants with cancer at baseline excluded.
PSS012191 Advanced colorectal neoplasia (CRC or advanced adenoma) vs controls in a population-based screening trial. β€”
[
  • 415 cases
  • , 2,406 controls
]
β€” East Asian
(Chinese)
β€” TARGETC Participants underwent colonoscopy during baseline screening phase (subset with PRS available).
PSS011399 β€” β€”
[
  • 733 cases
  • , 695 controls
]
β€” European β€” ICO, UKBonn β€”
PSS000895 Participants were 50 years of age or older with no family history of colorectal cancer. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. β€”
[
  • 871 cases
  • , 60,258 controls
]
Range = [50.0, 100.0] years European β€” RPGEH β€”
PSS000896 Participants were under 50 years of age with no family history of colorectal cancer. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. β€”
[
  • 18 cases
  • , 24,454 controls
]
Range = [0.0, 50.0] years European β€” RPGEH β€”
PSS011409 Cases were individuals with familial/early-onset mismatch repair (MMR)-proficient unrelated colorectal cancer (CRC). Cases fulfilled either the Amsterdam I/ Amsterdam II criteria or the Bethesda guidelines for hereditary nonpolyposis CRC. For the Amsterdam I criteria, individuals had to fulfil the following: have at least three relatives affected with CRC, have at least two successive generations are affected, have at least one person diagnosed before the age of 50 years, have familial adenomatous polyposis excluded and have tumors verified by pathologic examination. For the Amsterdam II criteria, individuals had to fulfil the following: have at least three relatives with an HNPCC-associated cancer (large bowel, endometrium, small bowel, ureter, or renal pelvis, though not including stomach, ovary, brain, bladder, or skin), have one affected person who is a first-degree relative of the other two, have at least two successive generations affected, have at least one person diagnosed before the age of 50 years, have familial adenomatous polyposis excluded and tumors verified by pathologic examination. For the Bethesda guidelines for hereditary nonpolyposis CRC criteria, inidividuals had to fulfil at least one of the following: CRC < age 50 years, synchronous or metachronous colorectal or other HNPCC-associated tumors regardless of age, CRC with microsatellite instability-positive morphology < age 60 years, CRC with one or more first-degree relatives with CRC or other HNPCC-related tumor, with one of the cancers < age 50 years or CRC with two or more first- or second-degree relatives with CRC or other hereditary nonpolyposis colon cancer-related tumor (endometrial, stomach, ovarian, cervical, esophageal, leukemia, thyroid, bladder, ureter and renal pelvis, biliary tract, small bowel, breast, pancreas, liver, larynx, bronchus, lung, and brain (glioblastoma), sebaceous gland adenomas, and keratoacanthomas), regardless of age. β€”
[
  • 417 cases
  • , 1,642 controls
]
,
51.97 % Male samples
β€” European β€” CRCGEN Cases were obtained from the Hereditary Cancer Program of the Catalan Institute of Oncology
PSS011410 Cases were individuals with sporadic colorectal cancer (CRC). β€”
[
  • 1,077 cases
  • , 1,642 controls
]
,
56.53 % Male samples
β€” European β€” CRCGEN β€”
PSS007664 Cases were individuals with (incident) invasive colorectal cancer diagnosed after a baseline assessment. Colorectal cancer was identified using linkedc cancer registry data using ICD-9 (1530–1539, 1540–1541), ICD-10 (C18–C20) codes or self-reported disease). β€”
[
  • 2,992 cases
  • , 401,006 controls
]
,
45.85 % Male samples
β€” European β€” UKB β€”
PSS012357 141, V10.01,C01, C02, Z85.810 β€”
[
  • 201 cases
  • , 18,859 controls
]
,
45.19 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012358 141, V10.01,C01, C02, Z85.810 β€”
[
  • 201 cases
  • , 18,859 controls
]
,
45.19 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012359 141, V10.01,C01, C02, Z85.810 β€”
[
  • 201 cases
  • , 18,859 controls
]
,
45.19 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012360 141, V10.01,C01, C02, Z85.810 β€”
[
  • 201 cases
  • , 18,859 controls
]
,
45.19 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012361 141, V10.01,C01, C02, Z85.810 β€”
[
  • 201 cases
  • , 18,859 controls
]
,
45.19 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012362 140, 141, 142, 143, 144, 145, 230.0, V10.01,C00, C01, C02, C03, C04, C05, C06, C07, C08, D00.0, Z85.81 β€”
[
  • 360 cases
  • , 18,859 controls
]
,
45.51 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012363 140, 141, 142, 143, 144, 145, 230.0, V10.01,C00, C01, C02, C03, C04, C05, C06, C07, C08, D00.0, Z85.81 β€”
[
  • 360 cases
  • , 18,859 controls
]
,
45.51 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012364 140, 141, 142, 143, 144, 145, 230.0, V10.01,C00, C01, C02, C03, C04, C05, C06, C07, C08, D00.0, Z85.81 β€”
[
  • 360 cases
  • , 18,859 controls
]
,
45.51 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012365 140, 141, 142, 143, 144, 145, 230.0, V10.01,C00, C01, C02, C03, C04, C05, C06, C07, C08, D00.0, Z85.81 β€”
[
  • 360 cases
  • , 18,859 controls
]
,
45.51 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012366 140, 141, 142, 143, 144, 145, 230.0, V10.01,C00, C01, C02, C03, C04, C05, C06, C07, C08, D00.0, Z85.81 β€”
[
  • 360 cases
  • , 18,859 controls
]
,
45.51 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012367 147,C11 β€”
[
  • 211 cases
  • , 18,859 controls
]
,
45.15 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS000274 Primary tumor samples from TCGA β€”
[
  • 387 cases
  • , 0 controls
]
Mean = 68.0 years
Sd = 13.0 years
European β€” TCGA β€”
PSS000274 β€” β€”
[
  • 0 cases
  • , 13,427 controls
]
β€” European β€” eMERGE β€”
PSS008600 β€” β€” 6,241 individuals β€” European Italy (South Europe) UKB β€”
PSS011018 β€” β€”
[
  • 690 cases
  • , 23,244 controls
]
β€” European β€” UKB β€”
PSS011018 β€” β€”
[
  • 12 cases
  • , 486 controls
]
β€” Asian unspecified β€” UKB β€”
PSS011018 β€” β€”
[
  • 12 cases
  • , 370 controls
]
β€” African unspecified β€” UKB β€”
PSS011018 β€” β€”
[
  • 5 cases
  • , 202 controls
]
β€” Not reported β€” UKB β€”
PSS011018 β€” β€”
[
  • 4 cases
  • , 125 controls
]
β€” European, African American or Afro-Caribbean, African unspecified, Asian unspecified, NR European and African Caribbean, European and Black African, European and Asian, NR UKB β€”
PSS011020 ICD-10: C18.X or C20.X, D01.[0,1,2], D37.[4, 5] β€”
[
  • 1,902 cases
  • , 161,614 controls
]
β€” European, Not reported β€” UKB β€”
PSS000981 Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. β€”
[
  • 303 cases
  • , 45,233 controls
]
β€” European β€” UKB β€”
PSS000279 Primary tumor samples from TCGA β€”
[
  • 163 cases
  • , 0 controls
]
Mean = 66.0 years
Sd = 11.0 years
European β€” TCGA β€”
PSS000279 β€” β€”
[
  • 0 cases
  • , 13,427 controls
]
β€” European β€” eMERGE β€”
PSS000981 Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. β€”
[
  • 6 cases
  • , 993 controls
]
β€” African unspecified β€” UKB β€”
PSS000981 Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. β€”
[
  • 3 cases
  • , 1,216 controls
]
β€” Asian unspecified β€” UKB β€”
PSS000981 Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. β€”
[
  • 3 cases
  • , 1,050 controls
]
β€” Not reported β€” UKB β€”
PSS009566 β€” β€”
[
  • 3,486 cases
  • , 3,890 controls
]
Maximum = 50.0 years European β€” 9 cohorts
  • CCFR
  • ,DACHS
  • ,DALS
  • ,EPIC
  • ,MECC
  • ,NCCCS
  • ,NFCCR
  • ,NHS
  • ,UKB
ο»ΏCRCGEN, ο»ΏKentucky, ο»ΏLCCS
PSS012378 150, 230.1, V10.03,C15, D00.1, Z85.01 β€”
[
  • 157 cases
  • , 15,322 controls
]
,
43.41 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012377 150, 230.1, V10.03,C15, D00.1, Z85.01 β€”
[
  • 157 cases
  • , 15,322 controls
]
,
43.41 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012379 150, 230.1, V10.03,C15, D00.1, Z85.01 β€”
[
  • 157 cases
  • , 15,322 controls
]
,
43.41 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012380 150, 230.1, V10.03,C15, D00.1, Z85.01 β€”
[
  • 157 cases
  • , 15,322 controls
]
,
43.41 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012381 150, 230.1, V10.03,C15, D00.1, Z85.01 β€”
[
  • 157 cases
  • , 15,322 controls
]
,
43.41 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012383 151, 209.23, 230.2, V10.04,C16, C7A.0, D00.2, Z85.02 β€”
[
  • 230 cases
  • , 15,322 controls
]
,
43.27 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012382 151, 209.23, 230.2, V10.04,C16, C7A.0, D00.2, Z85.02 β€”
[
  • 230 cases
  • , 15,322 controls
]
,
43.27 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012384 151, 209.23, 230.2, V10.04,C16, C7A.0, D00.2, Z85.02 β€”
[
  • 230 cases
  • , 15,322 controls
]
,
43.27 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012385 151, 209.23, 230.2, V10.04,C16, C7A.0, D00.2, Z85.02 β€”
[
  • 230 cases
  • , 15,322 controls
]
,
43.27 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012386 151, 209.23, 230.2, V10.04,C16, C7A.0, D00.2, Z85.02 β€”
[
  • 230 cases
  • , 15,322 controls
]
,
43.27 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012388 153, 159.0, 209.1, 230.3, V10.05,C18, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.029, D01.0, Z85.03 β€”
[
  • 442 cases
  • , 16,581 controls
]
,
44.12 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012387 153, 159.0, 209.1, 230.3, V10.05,C18, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.029, D01.0, Z85.03 β€”
[
  • 442 cases
  • , 16,581 controls
]
,
44.12 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012389 153, 159.0, 209.1, 230.3, V10.05,C18, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.029, D01.0, Z85.03 β€”
[
  • 442 cases
  • , 16,581 controls
]
,
44.12 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012397 153, 154, 159.0, 209.1, 230.3, 230.4, 230.5, 230.6, 796.7, V10.05, V10.06,C18, C19, C20, C21.0, C21.1, C21.2, C21.8, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.026, C7A.029, D01.0, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619, Z85.03, Z85.04 β€”
[
  • 638 cases
  • , 16,581 controls
]
,
44.38 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012398 153, 154, 159.0, 209.1, 230.3, 230.4, 230.5, 230.6, 796.7, V10.05, V10.06,C18, C19, C20, C21.0, C21.1, C21.2, C21.8, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.026, C7A.029, D01.0, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619, Z85.03, Z85.04 β€”
[
  • 638 cases
  • , 16,581 controls
]
,
44.38 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012399 153, 154, 159.0, 209.1, 230.3, 230.4, 230.5, 230.6, 796.7, V10.05, V10.06,C18, C19, C20, C21.0, C21.1, C21.2, C21.8, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.026, C7A.029, D01.0, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619, Z85.03, Z85.04 β€”
[
  • 638 cases
  • , 16,581 controls
]
,
44.38 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012400 153, 154, 159.0, 209.1, 230.3, 230.4, 230.5, 230.6, 796.7, V10.05, V10.06,C18, C19, C20, C21.0, C21.1, C21.2, C21.8, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.026, C7A.029, D01.0, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619, Z85.03, Z85.04 β€”
[
  • 638 cases
  • , 16,581 controls
]
,
44.38 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012401 153, 154, 159.0, 209.1, 230.3, 230.4, 230.5, 230.6, 796.7, V10.05, V10.06,C18, C19, C20, C21.0, C21.1, C21.2, C21.8, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.026, C7A.029, D01.0, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619, Z85.03, Z85.04 β€”
[
  • 638 cases
  • , 16,581 controls
]
,
44.38 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012402 155.0, V10.07,C22.0, C22.2, C22.3, C22.4, C22.7, C22.8, Z85.05 β€”
[
  • 390 cases
  • , 15,322 controls
]
,
43.78 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012403 155.0, V10.07,C22.0, C22.2, C22.3, C22.4, C22.7, C22.8, Z85.05 β€”
[
  • 390 cases
  • , 15,322 controls
]
,
43.78 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012070 β€” β€”
[
  • 352 cases
  • , 4,092 controls
]
,
100.0 % Male samples
Mean (Cases) = 56.7 years
Sd = 7.6 years
East Asian
(Japanese)
β€” JPHC mean (subcohorts) = 54.0 years; sd = 8.2
PSS012071 β€” β€”
[
  • 341 cases
  • , 7,602 controls
]
,
0.0 % Male samples
Mean (Cases) = 56.0 years
Sd = 7.3 years
East Asian
(Japanese)
β€” JPHC mean (subcohorts) = 53.8 years; sd = 7.8
PSS000113 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): 21041 - 21049, 21051, 21052, and 21060 β€”
[
  • 5,895 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European β€” GERA, UKB β€”
PSS012407 155, 230.8, V10.07,C22, D01.5, Z85.05 β€”
[
  • 417 cases
  • , 15,322 controls
]
,
43.8 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012408 155, 230.8, V10.07,C22, D01.5, Z85.05 β€”
[
  • 417 cases
  • , 15,322 controls
]
,
43.8 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012409 155, 230.8, V10.07,C22, D01.5, Z85.05 β€”
[
  • 417 cases
  • , 15,322 controls
]
,
43.8 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012410 155, 230.8, V10.07,C22, D01.5, Z85.05 β€”
[
  • 417 cases
  • , 15,322 controls
]
,
43.8 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012411 155, 230.8, V10.07,C22, D01.5, Z85.05 β€”
[
  • 417 cases
  • , 15,322 controls
]
,
43.8 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”
PSS012412 235.2, 235.5, 239.0,D37.1, D37.2, D37.3, D37.4, D37.5, D37.8, D37.9, D49.0 β€”
[
  • 274 cases
  • , 15,322 controls
]
,
43.31 % Male samples
β€” East Asian
(Han Chinese)
β€” TPMI β€”