| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0009431 |
| Description | A non-neoplastic or neoplastic disorder that affects the small or large intestine. [NCIT: C26801] | Trait category |
Digestive system disorder
|
| Synonyms |
10 synonyms
|
| Mapped terms |
20 mapped terms
|
| Child trait(s) |
18 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000017 (GPS_IBD) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Inflammatory bowel disease | inflammatory bowel disease | 6,907,112 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000017/ScoringFiles/PGS000017.txt.gz | |
| PGS000040 (GRS_CeD) |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Coeliac disease | celiac disease | 228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000040/ScoringFiles/PGS000040.txt.gz |
| PGS000041 (GRS-DQ2.5-CeD) |
PGP000029 | Abraham G et al. Genome Med (2015) |
Coeliac disease | celiac disease | 2,513 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000041/ScoringFiles/PGS000041.txt.gz |
| PGS000042 (GRS-DQ2.5-CeD-imputed) |
PGP000029 | Abraham G et al. Genome Med (2015) |
Coeliac disease | celiac disease | 3,317 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000042/ScoringFiles/PGS000042.txt.gz |
| 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 |
| PGS000146 (CRC_GRS_27) |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Colorectal cancer risk | colorectal cancer | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000146/ScoringFiles/PGS000146.txt.gz |
| PGS000147 (CRC21) |
PGP000070 | Ibáñez-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 |
| PGS000316 (GRS42_Coeliac) |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Coeliac disease | celiac disease | 42 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000316/ScoringFiles/PGS000316.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 | rectum cancer, rectosigmoid junction neoplasm |
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 | rectum cancer, rectosigmoid junction neoplasm |
1,104,018 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000384/ScoringFiles/PGS000384.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 |
| 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 |
| 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 | |
| PGS000996 (GBE_HC262) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diverticular disease/diverticulitis | diverticular disease, diverticulitis |
368 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000996/ScoringFiles/PGS000996.txt.gz |
| PGS000997 (GBE_HC1106) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diverticular disease of intestine (time-to-event) | diverticular disease | 5,757 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000997/ScoringFiles/PGS000997.txt.gz |
| PGS001288 (GBE_HC95) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Inflammatory bowel disease | inflammatory bowel disease | 195 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001288/ScoringFiles/PGS001288.txt.gz |
| PGS001300 (GBE_BIN21068) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Celiac disease or gluten sensitivity, diagnosed | celiac disease | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001300/ScoringFiles/PGS001300.txt.gz |
| PGS001301 (GBE_HC303) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Malabsorption/coeliac disease | celiac disease | 428 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001301/ScoringFiles/PGS001301.txt.gz |
| PGS001306 (GBE_HC201) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ulcerative colitis | ulcerative colitis | 179 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001306/ScoringFiles/PGS001306.txt.gz |
| PGS001307 (GBE_HC1102) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ulcerative colitis (time-to-event) | ulcerative colitis | 809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001307/ScoringFiles/PGS001307.txt.gz |
| PGS001330 (GBE_HC1101) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Crohn's disease [regional enteritis] (time-to-event) | Crohn's disease | 220 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001330/ScoringFiles/PGS001330.txt.gz |
| PGS001331 (GBE_HC322) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Crohns disease | Crohn's disease | 257 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001331/ScoringFiles/PGS001331.txt.gz |
| PGS001369 (GBE_HC1090) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Acute appendicitis (time-to-event) | appendicitis | 4 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001369/ScoringFiles/PGS001369.txt.gz |
| PGS001390 (GBE_HC1084) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Duodenal ulcer (time-to-event) | duodenal ulcer | 220 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001390/ScoringFiles/PGS001390.txt.gz |
| PGS001516 (GBE_HC1112) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other diseases of intestine (time-to-event) | intestinal disease | 90 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001516/ScoringFiles/PGS001516.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 |
| PGS001785 (1kgeur_gbmi_leaveUKBBout_AcApp_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Acute appendicitis | appendicitis | 911,334 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001785/ScoringFiles/PGS001785.txt.gz |
| PGS001802 (portability-PLR_153) |
PGP000263 | Privé 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 |
| PGS001811 (portability-PLR_208) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Benign neoplasm of colon | benign colon neoplasm | 2,231 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001811/ScoringFiles/PGS001811.txt.gz |
| PGS001852 (portability-PLR_535.6) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Duodenitis | duodenitis | 191 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001852/ScoringFiles/PGS001852.txt.gz |
| PGS001853 (portability-PLR_540) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Appendiceal conditions | disorder of appendix | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001853/ScoringFiles/PGS001853.txt.gz |
| PGS001855 (portability-PLR_555.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ulcerative colitis | ulcerative colitis | 1,505 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001855/ScoringFiles/PGS001855.txt.gz |
| PGS001856 (portability-PLR_557.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Celiac disease | celiac disease | 1,661 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001856/ScoringFiles/PGS001856.txt.gz |
| PGS001859 (portability-PLR_565.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Anal and rectal polyp | polyp of rectum, anal polyp |
789 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001859/ScoringFiles/PGS001859.txt.gz |
| PGS001894 (portability-PLR_celiac_gluten) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diagnosed with coeliac disease or gluten sensitivity | celiac disease | 484 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001894/ScoringFiles/PGS001894.txt.gz |
| PGS002013 (portability-ldpred2_153) |
PGP000263 | Privé 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 |
| PGS002019 (portability-ldpred2_208) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Benign neoplasm of colon | benign colon neoplasm | 667,546 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002019/ScoringFiles/PGS002019.txt.gz |
| PGS002064 (portability-ldpred2_540) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Appendiceal conditions | disorder of appendix | 497,422 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002064/ScoringFiles/PGS002064.txt.gz |
| PGS002066 (portability-ldpred2_555.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ulcerative colitis | ulcerative colitis | 566,637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002066/ScoringFiles/PGS002066.txt.gz |
| PGS002067 (portability-ldpred2_557.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Celiac disease | celiac disease | 58,231 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002067/ScoringFiles/PGS002067.txt.gz |
| PGS002070 (portability-ldpred2_565.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Anal and rectal polyp | polyp of rectum, anal polyp |
584,133 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002070/ScoringFiles/PGS002070.txt.gz |
| PGS002107 (portability-ldpred2_celiac_gluten) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diagnosed with coeliac disease or gluten sensitivity | celiac disease | 39,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002107/ScoringFiles/PGS002107.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 |
| 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 |
| 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 | |
| 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 |
| 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 T et al. medRxiv (2023) |Pre |
Colorectal cancer | colorectal cancer | 1,016,596 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003852/ScoringFiles/PGS003852.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000026 | PGS000017 (GPS_IBD) |
PSS000016| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.63 [0.62, 0.64] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.021 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM012874 | PGS000017 (GPS_IBD) |
PSS009588| European Ancestry| 1,433 individuals |
PGP000288 | Garcia-Etxebarria K et al. Sci Rep (2022) |Ext. |
Reported Trait: Inflammatory Bowel Disease | — | AUROC: 0.69 [0.66, 0.72] | — | — | — |
| PPM000093 | PGS000040 (GRS_CeD) |
PSS000059| European Ancestry| 2,476 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.9 | — | — | — |
| PPM000094 | PGS000040 (GRS_CeD) |
PSS000061| European Ancestry| 1,040 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000095 | PGS000040 (GRS_CeD) |
PSS000062| European Ancestry| 1,649 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.86 | — | — | — |
| PPM000096 | PGS000040 (GRS_CeD) |
PSS000063| European Ancestry| 2,200 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000097 | PGS000040 (GRS_CeD) |
PSS000060| European Ancestry| 10,304 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000098 | PGS000040 (GRS_CeD) |
PSS000064| European Ancestry| 1,696 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |Ext. |
Reported Trait: Coeliac disease | — | AUROC: 0.831 [0.808, 0.85] | — | — | — |
| PPM000099 | PGS000040 (GRS_CeD) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |Ext. |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.669 [0.625, 0.713] | — | — | — |
| PPM000100 | PGS000041 (GRS-DQ2.5-CeD) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.718 [0.676, 0.761] | — | — | — |
| PPM000101 | PGS000042 (GRS-DQ2.5-CeD-imputed) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.73 [0.687, 0.772] | — | — | — |
| PPM000139 | PGS000055 (PRS_CRC) |
PSS000087| European Ancestry| 61,335 individuals |
PGP000040 | Schmit SL et al. J Natl Cancer Inst (2019) |
Reported Trait: Colorectal cancer | — | — | Familial relative risk explained (%): 11.9 [9.2, 15.5] PRS percentile threshold for Odds Ratio > 2: 95.7 |
age, sex, PCs, PC*study | — |
| 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 | — | — | PRS percentile threshold for Odds Ratio > 2: 99.1 | age, sex, PCs, PC*study | — |
| PPM018698 | PGS000055 (PRS_CRC) |
PSS011070| East Asian Ancestry| 332 individuals |
PGP000494 | Ho PJ et al. Elife (2023) |Ext. |
Reported Trait: Colorectal cancer | — | AUROC: 0.65 [0.62, 0.69] | Hazard ratio (HR, high vs low tertile): 2.27 [1.6, 3.21] | age at recruitment | — |
| 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] | — | — | 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) |
— | 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. ≥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] | — | — | 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 | — |
| 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] | — | — | Study, age, endoscopy, family history | — |
| 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] | — | — | Study, age, endoscopy, family history | — |
| PPM000445 | PGS000146 (CRC_GRS_27) |
PSS000257| European Ancestry| 733 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Colorectal cancer | — | AUROC: 0.56 [0.51, 0.61] | — | Age, endoscopy, family history | — |
| PPM000444 | PGS000146 (CRC_GRS_27) |
PSS000258| European Ancestry| 1,002 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.54, 0.64] | — | Age, endoscopy, family history | — |
| 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] | — | — | Study, age, endoscopy, family history | — |
| 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] | — | — | Study, age, endoscopy, family history | — |
| 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] | — | — | Study, age, endoscopy, family history | — |
| 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] | — | — | Study, age, endoscopy, family history | — |
| PPM000448 | PGS000147 (CRC21) |
PSS000259| European Ancestry| 4,080 individuals |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Reported Trait: Colorectal cancer | — | 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 | — |
| PPM000447 | PGS000147 (CRC21) |
PSS000259| European Ancestry| 4,080 individuals |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Reported Trait: Rectal cancer | — | — | 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 | — |
| PPM000446 | PGS000147 (CRC21) |
PSS000259| European Ancestry| 4,080 individuals |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Reported Trait: Colon cancer | — | — | 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 | — |
| PPM000449 | PGS000147 (CRC21) |
PSS000259| European Ancestry| 4,080 individuals |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Reported Trait: Colorectal cancer | — | AUROC: 0.56 [0.54, 0.58] | — | — | — |
| PPM000452 | PGS000148 (CRC63) |
PSS000260| European Ancestry| 5,500 individuals |
PGP000071 | Jeon J et al. Gastroenterology (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.58, 0.6] | — | 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 | — | AUROC: 0.63 [0.62, 0.64] | — | 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 | — | AUROC: 0.59 [0.58, 0.6] | — | 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 | — | AUROC: 0.62 [0.61, 0.63] | — | 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 | — | C-index: 0.68 [0.67, 0.7] | — | 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 | — | C-index: 0.68 [0.67, 0.7] | — | 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 | — | C-index: 0.66 [0.62, 0.69] | — | 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 | — | C-index: 0.69 [0.67, 0.7] | — | 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 | — | C-index: 0.68 [0.67, 0.7] | — | 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 | — | C-index: 0.67 [0.63, 0.71] | — | 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 | — | C-index: 0.57 [0.53, 0.6] | — | — | — |
| 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 | — | C-index: 0.56 [0.55, 0.58] | — | — | — |
| PPM000460 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.57 [0.55, 0.58] | — | — | — |
| 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 | — | C-index: 0.55 [0.52, 0.59] | — | — | — |
| 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 | — | C-index: 0.57 [0.55, 0.58] | — | — | — |
| PPM000454 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.56 [0.55, 0.58] | — | — | — |
| PPM000469 | PGS000150 (GRS48) |
PSS000269| European Ancestry| 749 individuals |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Reported Trait: advanced neoplasm (colorectal cancer) | — | 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 | — |
| PPM000468 | PGS000150 (GRS48) |
PSS000269| European Ancestry| 749 individuals |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Reported Trait: advanced neoplasm (colorectal cancer) | — | C-index: 0.599 | Odds Ratio (OR; highest vs. lowest tertile of GRS): 2.64 [1.77, 3.92] | sex, age | — |
| PPM000467 | PGS000150 (GRS48) |
PSS000268| European Ancestry| 1,043 individuals |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Reported Trait: non-advanced adenoma (colorectal) | — | 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 | — |
| PPM000466 | PGS000150 (GRS48) |
PSS000268| European Ancestry| 1,043 individuals |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Reported Trait: non-advanced adenoma (colorectal) | — | C-index: 0.584 | Odds Ratio (OR; highest vs. lowest tertile of GRS): 1.04 [0.7, 1.55] | sex, age | — |
| PPM000471 | PGS000151 (SC_GRS) |
PSS000271| East Asian Ancestry| 3,523 individuals |
PGP000074 | Xin J et al. Gene (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.607 [0.581, 0.633] | — | smoking status | — |
| PPM000470 | PGS000151 (SC_GRS) |
PSS000271| East Asian Ancestry| 3,523 individuals |
PGP000074 | Xin J et al. Gene (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.6 [0.579, 0.622] | — | — | — |
| PPM000474 | PGS000154 (cGRS_Colorectal) |
PSS000274| European Ancestry| 13,814 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Colorectal cancer | — | — | Mean realative risk: 1.08 [1.04, 1.12] Wilcoxon test (case vs. control) p-value: 8.29e-06 |
— | — |
| PPM000485 | PGS000154 (cGRS_Colorectal) |
PSS000274| European Ancestry| 13,814 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Colorectal cancer | — | — | Odds Ratio (OR; high vs. average risk groups): 1.18 [0.87, 1.61] | — | — |
| PPM000805 | PGS000316 (GRS42_Coeliac) |
PSS000381| Ancestry Not Reported| 154 individuals |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Reported Trait: Coeliac disease | — | AUROC: 0.835 [0.76, 0.911] | — | — | — |
| PPM000804 | PGS000316 (GRS42_Coeliac) |
PSS000382| European Ancestry| 379,767 individuals |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Reported Trait: Coeliac disease | — | AUROC: 0.879 [0.87, 0.888] | — | — | — |
| 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] β: 0.181 (0.0425) |
AUROC: 0.55 [0.522, 0.574] | Nagelkerke's Pseudo-R²: 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] β: 0.416 (0.0225) |
AUROC: 0.612 [0.6, 0.625] | Nagelkerke's Pseudo-R²: 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] β: 0.194 (0.0426) |
AUROC: 0.553 [0.525, 0.577] | Nagelkerke's Pseudo-R²: 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] | — | — | — |
| 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] β: 0.436 (0.0226) |
AUROC: 0.617 [0.605, 0.63] | Nagelkerke's Pseudo-R²: 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] β: 0.226 (0.0217) |
AUROC: 0.561 [0.548, 0.573] | Nagelkerke's Pseudo-R²: 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] β: 0.246 (0.0218) |
AUROC: 0.565 [0.551, 0.577] | Nagelkerke's Pseudo-R²: 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] β: 0.173 (0.0428) |
AUROC: 0.548 [0.523, 0.572] | Nagelkerke's Pseudo-R²: 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] β: 0.0872 (0.0423) |
AUROC: 0.517 [0.493, 0.541] | Nagelkerke's Pseudo-R²: 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] β: 0.107 (0.0425) |
AUROC: 0.53 [0.503, 0.555] | Nagelkerke's Pseudo-R²: 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] β: 0.163 (0.0491) |
AUROC: 0.547 [0.518, 0.576] | Nagelkerke's Pseudo-R²: 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] β: 0.16 (0.049) |
AUROC: 0.545 [0.518, 0.574] | Nagelkerke's Pseudo-R²: 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] β: 0.132 (0.0484) |
AUROC: 0.536 [0.509, 0.565] | Nagelkerke's Pseudo-R²: 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] β: 0.134 (0.049) |
AUROC: 0.536 [0.51, 0.567] | Nagelkerke's Pseudo-R²: 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] β: 0.281 (0.0489) |
AUROC: 0.569 [0.539, 0.599] | Nagelkerke's Pseudo-R²: 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] β: 0.193 (0.0472) |
AUROC: 0.55 [0.522, 0.577] | Nagelkerke's Pseudo-R²: 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] β: 0.221 (0.0483) |
AUROC: 0.567 [0.54, 0.594] | Nagelkerke's Pseudo-R²: 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] β: 0.119 (0.0579) |
AUROC: 0.533 [0.5, 0.567] | Nagelkerke's Pseudo-R²: 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] β: 0.115 (0.058) |
AUROC: 0.531 [0.495, 0.563] | Nagelkerke's Pseudo-R²: 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 |
| PPM001648 | PGS000720 (PRS_Colorectal) |
PSS000855| European Ancestry| 400,812 individuals |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Reported Trait: Incident colorectal cancer | — | AUROC: 0.609 [0.598, 0.62] | — | Genotyping array | — |
| PPM001649 | PGS000720 (PRS_Colorectal) |
PSS000855| European Ancestry| 400,812 individuals |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Reported Trait: Incident colorectal cancer | — | AUROC: 0.613 [0.602, 0.624] | — | family history of cancer (in first-degree relatives), genotyping array | — |
| 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] | — | — | Sex, PCs | — |
| 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] | — | — | Sex, PCs | — |
| 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] | — | — | Sex, PCs | — |
| 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] | — | — | Sex, PCs | — |
| 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] | — | — | Sex, PCs | — |
| PPM018699 | PGS000734 (PRS95_CRC) |
PSS011071| East Asian Ancestry| 409 individuals |
PGP000494 | Ho PJ et al. Elife (2023) |Ext. |
Reported Trait: Colorectal cancer | — | AUROC: 0.66 [0.63, 0.69] | Hazard ratio (HR, high vs low tertile): 3.25 [2.24, 4.73] | age at recruitment | — |
| 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] | — | — | Age, sex, PCs (1-4) | — |
| 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] | — | — | 4 genetic PCs | — |
| 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 | — | AUROC: 0.693 [0.66, 0.71] C-index: 0.646 |
Odds ratio (OR, high vs low tertile): 17.5 [9.0, 32.4] | — | — |
| 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 | — | — | Odds ratio (OR, high vs low tertile): 7.0 [2.04, 23.7] | — | — |
| 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 | — | AUROC: 0.698 [0.67, 0.72] C-index: 0.652 |
Odds ratio (OR, high vs low tertile): 3.1 [2.6, 3.8] | — | — |
| 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 | — | AUROC: 0.704 [0.68, 0.73] C-index: 0.657 |
Odds ratio (OR, high vs low tertile): 39.9 [12.69, 125.41] | — | — |
| 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 | — | AUROC: 0.688 [0.66, 0.71] C-index: 0.64 |
— | — | — |
| 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) |
R²: 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. ≥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 | — | AUROC: 0.708 C-index: 0.708 (0.006) |
R²: 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. |
| 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] | — | 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] | — | — | 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] | — | — | 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] | — | 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] | — | 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] | — | 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] | — | — | 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] | — | 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] | — | 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 | — | — | Odds Ratio (OR, top 75% vs bottom 25%): 2.53 [1.99, 3.22] | Gender, age | — |
| PPM002099 | PGS000802 (CRC_19) |
PSS001031| East Asian Ancestry| 2,269 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | — | Odds Ratio (OR, top 75% vs bottom 25%): 2.12 [1.63, 2.77] | Gender, age | — |
| PPM002094 | PGS000802 (CRC_19) |
PSS001033| East Asian Ancestry| 5,465 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.57, 0.6] | — | — | 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 | — | AUROC: 0.61 [0.59, 0.63] | — | — | — |
| PPM002096 | PGS000802 (CRC_19) |
PSS001031| East Asian Ancestry| 2,269 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.57, 0.61] | — | — | — |
| PPM002097 | PGS000802 (CRC_19) |
PSS001033| East Asian Ancestry| 5,465 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | — | Odds Ratio (OR, top 75% vs bottom 25%): 2.27 [1.95, 2.64] | Gender, age | possible overlap with score development samples |
| PPM007743 | PGS000996 (GBE_HC262) |
PSS004389| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.86271 [0.73099, 0.99443] | R²: 0.12936 Incremental AUROC (full-covars): 0.00213 PGS R2 (no covariates): 0.00894 PGS AUROC (no covariates): 0.62053 [0.46342, 0.77764] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007744 | PGS000996 (GBE_HC262) |
PSS004390| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.91481 [0.74874, 1.0] | R²: 0.2785 Incremental AUROC (full-covars): 0.00029 PGS R2 (no covariates): 0.03618 PGS AUROC (no covariates): 0.74736 [0.4992, 0.99551] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007745 | PGS000996 (GBE_HC262) |
PSS004391| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.70041 [0.67086, 0.72996] | R²: 0.04948 Incremental AUROC (full-covars): 0.0039 PGS R2 (no covariates): 0.00095 PGS AUROC (no covariates): 0.52419 [0.48988, 0.55849] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007746 | PGS000996 (GBE_HC262) |
PSS004392| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.80455 [0.70545, 0.90364] | R²: 0.1 Incremental AUROC (full-covars): 0.00844 PGS R2 (no covariates): 0.00928 PGS AUROC (no covariates): 0.62862 [0.53202, 0.72522] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007747 | PGS000996 (GBE_HC262) |
PSS004393| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.67555 [0.65884, 0.69227] | R²: 0.03898 Incremental AUROC (full-covars): 0.00841 PGS R2 (no covariates): 0.00372 PGS AUROC (no covariates): 0.55186 [0.53326, 0.57047] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007748 | PGS000997 (GBE_HC1106) |
PSS004124| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.70831 [0.67789, 0.73873] | R²: 0.07998 Incremental AUROC (full-covars): -0.0081 PGS R2 (no covariates): 0.00158 PGS AUROC (no covariates): 0.52939 [0.49423, 0.56454] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007749 | PGS000997 (GBE_HC1106) |
PSS004125| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.75551 [0.65982, 0.85119] | R²: 0.08781 Incremental AUROC (full-covars): -0.01168 PGS R2 (no covariates): 0.00059 PGS AUROC (no covariates): 0.52785 [0.41459, 0.64111] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007750 | PGS000997 (GBE_HC1106) |
PSS004126| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.7155 [0.70514, 0.72586] | R²: 0.10502 Incremental AUROC (full-covars): 0.01733 PGS R2 (no covariates): 0.01777 PGS AUROC (no covariates): 0.59105 [0.57889, 0.60321] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007751 | PGS000997 (GBE_HC1106) |
PSS004127| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.73365 [0.70818, 0.75911] | R²: 0.09377 Incremental AUROC (full-covars): 0.01275 PGS R2 (no covariates): 0.01222 PGS AUROC (no covariates): 0.57957 [0.54784, 0.6113] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007752 | PGS000997 (GBE_HC1106) |
PSS004128| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.68053 [0.67412, 0.68694] | R²: 0.07483 Incremental AUROC (full-covars): 0.01974 PGS R2 (no covariates): 0.01533 PGS AUROC (no covariates): 0.5794 [0.57219, 0.58662] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008938 | PGS001288 (GBE_HC95) |
PSS004741| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.64251 [0.54711, 0.73791] | R²: 0.05914 Incremental AUROC (full-covars): 0.00245 PGS R2 (no covariates): 0.00027 PGS AUROC (no covariates): 0.52101 [0.42335, 0.61867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008939 | PGS001288 (GBE_HC95) |
PSS004742| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.89429 [0.79091, 0.99767] | R²: 0.2051 Incremental AUROC (full-covars): -0.0033 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.48687 [0.28135, 0.6924] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008940 | PGS001288 (GBE_HC95) |
PSS004743| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.63478 [0.60168, 0.66787] | R²: 0.02287 Incremental AUROC (full-covars): 0.02492 PGS R2 (no covariates): 0.0102 PGS AUROC (no covariates): 0.58475 [0.55242, 0.61708] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008941 | PGS001288 (GBE_HC95) |
PSS004744| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.66934 [0.62525, 0.71343] | R²: 0.03759 Incremental AUROC (full-covars): 0.004 PGS R2 (no covariates): 0.00311 PGS AUROC (no covariates): 0.55448 [0.50125, 0.6077] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008942 | PGS001288 (GBE_HC95) |
PSS004745| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.59461 [0.57544, 0.61378] | R²: 0.01221 Incremental AUROC (full-covars): 0.06405 PGS R2 (no covariates): 0.01191 PGS AUROC (no covariates): 0.59586 [0.5768, 0.61492] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008997 | PGS001300 (GBE_BIN21068) |
PSS003667| African Ancestry| 969 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.77521 [0.67165, 0.87877] | R²: 0.10494 Incremental AUROC (full-covars): 0.00391 PGS R2 (no covariates): 0.00465 PGS AUROC (no covariates): 0.54048 [0.39518, 0.68579] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008998 | PGS001300 (GBE_BIN21068) |
PSS003668| European Ancestry| 9,024 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.67118 [0.63561, 0.70676] | R²: 0.04801 Incremental AUROC (full-covars): 0.03638 PGS R2 (no covariates): 0.02217 PGS AUROC (no covariates): 0.58541 [0.54195, 0.62888] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008999 | PGS001300 (GBE_BIN21068) |
PSS003669| South Asian Ancestry| 1,145 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.78803 [0.69728, 0.87878] | R²: 0.09336 Incremental AUROC (full-covars): 0.00365 PGS R2 (no covariates): 0.00127 PGS AUROC (no covariates): 0.56184 [0.43287, 0.6908] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009000 | PGS001300 (GBE_BIN21068) |
PSS003670| European Ancestry| 24,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.6734 [0.64935, 0.69745] | R²: 0.04185 Incremental AUROC (full-covars): 0.08398 PGS R2 (no covariates): 0.02957 PGS AUROC (no covariates): 0.62888 [0.60094, 0.65683] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009001 | PGS001301 (GBE_HC303) |
PSS004423| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.84259 [0.73437, 0.95081] | R²: 0.12308 Incremental AUROC (full-covars): 0.02463 PGS R2 (no covariates): 0.03018 PGS AUROC (no covariates): 0.68151 [0.48835, 0.87467] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009002 | PGS001301 (GBE_HC303) |
PSS004424| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.81472 [0.7798, 0.84965] | R²: 0.15108 Incremental AUROC (full-covars): 0.1791 PGS R2 (no covariates): 0.14221 PGS AUROC (no covariates): 0.80994 [0.77441, 0.84547] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009003 | PGS001301 (GBE_HC303) |
PSS004425| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.81699 [0.73267, 0.9013] | R²: 0.11397 Incremental AUROC (full-covars): 0.06035 PGS R2 (no covariates): 0.07098 PGS AUROC (no covariates): 0.76239 [0.65258, 0.87221] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009004 | PGS001301 (GBE_HC303) |
PSS004426| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.83351 [0.81372, 0.85329] | R²: 0.14905 Incremental AUROC (full-covars): 0.25775 PGS R2 (no covariates): 0.14224 PGS AUROC (no covariates): 0.82867 [0.80826, 0.84908] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009024 | PGS001306 (GBE_HC201) |
PSS004339| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.62904 [0.5093, 0.74878] | R²: 0.04535 Incremental AUROC (full-covars): -0.00864 PGS R2 (no covariates): 0.00044 PGS AUROC (no covariates): 0.51081 [0.37987, 0.64174] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009025 | PGS001306 (GBE_HC201) |
PSS004340| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.89429 [0.79357, 0.99502] | R²: 0.20499 Incremental AUROC (full-covars): -0.0033 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.49111 [0.35854, 0.62368] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009026 | PGS001306 (GBE_HC201) |
PSS004341| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.66162 [0.6277, 0.69554] | R²: 0.03336 Incremental AUROC (full-covars): 0.04247 PGS R2 (no covariates): 0.02036 PGS AUROC (no covariates): 0.63006 [0.5958, 0.66432] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009027 | PGS001306 (GBE_HC201) |
PSS004342| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.67522 [0.62537, 0.72506] | R²: 0.03696 Incremental AUROC (full-covars): 0.01011 PGS R2 (no covariates): 0.00545 PGS AUROC (no covariates): 0.56552 [0.50815, 0.62289] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009028 | PGS001306 (GBE_HC201) |
PSS004343| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.6157 [0.59481, 0.63659] | PGS R2 (no covariates): 0.0193 R²: 0.01676 Incremental AUROC (full-covars): 0.08728 PGS AUROC (no covariates): 0.62452 [0.60374, 0.6453] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009029 | PGS001307 (GBE_HC1102) |
PSS004119| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.62873 [0.51002, 0.74744] | R²: 0.04344 Incremental AUROC (full-covars): -0.00895 PGS R2 (no covariates): 0.00027 PGS AUROC (no covariates): 0.50641 [0.39121, 0.62161] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009030 | PGS001307 (GBE_HC1102) |
PSS004120| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.89582 [0.79576, 0.99588] | R²: 0.20607 Incremental AUROC (full-covars): -0.00177 PGS R2 (no covariates): 0.00203 PGS AUROC (no covariates): 0.55433 [0.4473, 0.66136] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009031 | PGS001307 (GBE_HC1102) |
PSS004121| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.65578 [0.62353, 0.68804] | R²: 0.03272 Incremental AUROC (full-covars): 0.04212 PGS R2 (no covariates): 0.0169 PGS AUROC (no covariates): 0.6106 [0.57717, 0.64402] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009032 | PGS001307 (GBE_HC1102) |
PSS004122| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.66008 [0.61042, 0.70974] | R²: 0.03192 Incremental AUROC (full-covars): 0.00203 PGS R2 (no covariates): 0.0036 PGS AUROC (no covariates): 0.55808 [0.506, 0.61016] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009033 | PGS001307 (GBE_HC1102) |
PSS004123| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.63965 [0.62036, 0.65895] | R²: 0.02376 Incremental AUROC (full-covars): 0.1085 PGS R2 (no covariates): 0.02383 PGS AUROC (no covariates): 0.63847 [0.61861, 0.65833] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009137 | PGS001330 (GBE_HC1101) |
PSS004114| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.66243 [0.55234, 0.77252] | R²: 0.05286 Incremental AUROC (full-covars): -0.02175 PGS R2 (no covariates): 0.00138 PGS AUROC (no covariates): 0.46272 [0.36718, 0.55826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009138 | PGS001330 (GBE_HC1101) |
PSS004115| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.86369 [0.7806, 0.94678] | R²: 0.13339 Incremental AUROC (full-covars): 0.0 PGS R2 (no covariates): 0.14319 PGS AUROC (no covariates): 0.10664 [0.0, 0.28372] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009139 | PGS001330 (GBE_HC1101) |
PSS004116| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.60269 [0.55209, 0.65328] | R²: 0.01102 Incremental AUROC (full-covars): 0.02413 PGS R2 (no covariates): 0.00621 PGS AUROC (no covariates): 0.57593 [0.52318, 0.62867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009140 | PGS001330 (GBE_HC1101) |
PSS004117| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.69933 [0.63548, 0.76318] | R²: 0.0344 Incremental AUROC (full-covars): 0.00201 PGS R2 (no covariates): 0.00147 PGS AUROC (no covariates): 0.53846 [0.46042, 0.6165] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009141 | PGS001330 (GBE_HC1101) |
PSS004118| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.55852 [0.52842, 0.58862] | R²: 0.00474 Incremental AUROC (full-covars): 0.07412 PGS R2 (no covariates): 0.00669 PGS AUROC (no covariates): 0.5714 [0.54073, 0.60207] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009142 | PGS001331 (GBE_HC322) |
PSS004442| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.65892 [0.54485, 0.77299] | R²: 0.05502 Incremental AUROC (full-covars): -0.02526 PGS R2 (no covariates): 4e-05 PGS AUROC (no covariates): 0.49152 [0.37858, 0.60446] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009143 | PGS001331 (GBE_HC322) |
PSS004444| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.61269 [0.55802, 0.66736] | R²: 0.01161 Incremental AUROC (full-covars): 0.02705 PGS R2 (no covariates): 0.00677 PGS AUROC (no covariates): 0.57919 [0.52051, 0.63786] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009144 | PGS001331 (GBE_HC322) |
PSS004445| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.71 [0.64649, 0.7735] | R²: 0.03928 Incremental AUROC (full-covars): 0.01378 PGS R2 (no covariates): 0.00366 PGS AUROC (no covariates): 0.56349 [0.47905, 0.64793] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009145 | PGS001331 (GBE_HC322) |
PSS004446| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.56362 [0.53297, 0.59427] | R²: 0.00529 Incremental AUROC (full-covars): 0.06267 PGS R2 (no covariates): 0.0063 PGS AUROC (no covariates): 0.57326 [0.54246, 0.60406] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005205 | PGS001369 (GBE_HC1090) |
PSS004099| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.62041 [0.53518, 0.70564] | R²: 0.03016 Incremental AUROC (full-covars): -0.00198 PGS R2 (no covariates): 0.00105 PGS AUROC (no covariates): 0.47489 [0.37525, 0.57453] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005206 | PGS001369 (GBE_HC1090) |
PSS004100| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.8493 [0.77779, 0.9208] | R²: 0.14577 Incremental AUROC (full-covars): 0.00105 PGS R2 (no covariates): 0.00332 PGS AUROC (no covariates): 0.51032 [0.33889, 0.68176] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005207 | PGS001369 (GBE_HC1090) |
PSS004101| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.56849 [0.52835, 0.60862] | R²: 0.00702 Incremental AUROC (full-covars): -0.00219 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.49616 [0.45378, 0.53854] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005208 | PGS001369 (GBE_HC1090) |
PSS004102| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.72977 [0.65912, 0.80042] | Incremental AUROC (full-covars): 0.00039 PGS R2 (no covariates): 0.00096 R²: 0.05613 PGS AUROC (no covariates): 0.5334 [0.44427, 0.62254] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005209 | PGS001369 (GBE_HC1090) |
PSS004103| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.57413 [0.55138, 0.59688] | R²: 0.00617 Incremental AUROC (full-covars): 0.00987 PGS R2 (no covariates): 0.00332 PGS AUROC (no covariates): 0.55036 [0.52746, 0.57326] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005200 | PGS001390 (GBE_HC1084) |
PSS004094| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.71018 [0.66062, 0.75975] | R²: 0.05605 Incremental AUROC (full-covars): 0.00294 PGS R2 (no covariates): 0.00399 PGS AUROC (no covariates): 0.5623 [0.50635, 0.61825] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005201 | PGS001390 (GBE_HC1084) |
PSS004095| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.66565 [0.55325, 0.77805] | R²: 0.04606 Incremental AUROC (full-covars): 0.00253 PGS R2 (no covariates): 0.006 PGS AUROC (no covariates): 0.56376 [0.43513, 0.6924] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005202 | PGS001390 (GBE_HC1084) |
PSS004096| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.71045 [0.68829, 0.73261] | R²: 0.06289 Incremental AUROC (full-covars): 0.0043 PGS R2 (no covariates): 0.0047 PGS AUROC (no covariates): 0.55991 [0.53425, 0.58556] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005203 | PGS001390 (GBE_HC1084) |
PSS004097| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.70619 [0.66443, 0.74795] | R²: 0.0567 Incremental AUROC (full-covars): 0.00581 PGS R2 (no covariates): 0.00168 PGS AUROC (no covariates): 0.54031 [0.491, 0.58961] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005204 | PGS001390 (GBE_HC1084) |
PSS004098| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.68746 [0.67261, 0.70231] | R²: 0.04811 Incremental AUROC (full-covars): 0.00644 PGS R2 (no covariates): 0.00484 PGS AUROC (no covariates): 0.56101 [0.54453, 0.5775] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005210 | PGS001516 (GBE_HC1112) |
PSS004129| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.71458 [0.68087, 0.7483] | R²: 0.07935 Incremental AUROC (full-covars): 0.00184 PGS R2 (no covariates): 0.00206 PGS AUROC (no covariates): 0.53644 [0.50022, 0.57266] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005211 | PGS001516 (GBE_HC1112) |
PSS004130| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.71022 [0.64099, 0.77946] | R²: 0.09409 Incremental AUROC (full-covars): 0.00324 PGS R2 (no covariates): 0.00207 PGS AUROC (no covariates): 0.53358 [0.4606, 0.60656] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005212 | PGS001516 (GBE_HC1112) |
PSS004131| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.65457 [0.63994, 0.6692] | R²: 0.04465 Incremental AUROC (full-covars): 0.00302 PGS R2 (no covariates): 0.00297 PGS AUROC (no covariates): 0.54106 [0.52507, 0.55705] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005213 | PGS001516 (GBE_HC1112) |
PSS004132| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.70984 [0.68398, 0.7357] | R²: 0.07373 Incremental AUROC (full-covars): -0.001 PGS R2 (no covariates): 0.00026 PGS AUROC (no covariates): 0.48728 [0.45689, 0.51767] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005214 | PGS001516 (GBE_HC1112) |
PSS004133| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.62222 [0.6128, 0.63164] | R²: 0.02673 Incremental AUROC (full-covars): 0.00391 PGS R2 (no covariates): 0.0026 PGS AUROC (no covariates): 0.53789 [0.5278, 0.54798] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| 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 | β: 1.848 | AUROC: 0.673 [0.664, 0.682] | — | Family history | — |
| 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 | β: 1.088 | AUROC: 0.674 [0.665, 0.683] | — | Family history | — |
| PPM009289 | PGS001785 (1kgeur_gbmi_leaveUKBBout_AcApp_pst_eff_a1_b0.5_phiauto) |
PSS007708| European Ancestry| 359,031 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Acute appendicitis | — | AUROC: 0.584 | Nagelkerke's R2 (covariates regressed out): 0.00406 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009322 | PGS001802 (portability-PLR_153) |
PSS009272| European Ancestry| 18,722 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0376 [0.0233, 0.0519] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009323 | PGS001802 (portability-PLR_153) |
PSS009046| European Ancestry| 3,922 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0422 [0.0108, 0.0735] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009324 | PGS001802 (portability-PLR_153) |
PSS008600| European Ancestry| 6,241 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0237 [-0.0012, 0.0485] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009325 | PGS001802 (portability-PLR_153) |
PSS008378| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0416 [-0.0175, 0.1004] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009326 | PGS001802 (portability-PLR_153) |
PSS008154| South Asian Ancestry| 6,010 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0135 [-0.0118, 0.0389] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009327 | PGS001802 (portability-PLR_153) |
PSS007942| East Asian Ancestry| 1,719 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0226 [-0.025, 0.0701] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009328 | PGS001802 (portability-PLR_153) |
PSS007724| African Ancestry| 2,362 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0193 [-0.0212, 0.0598] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009329 | PGS001802 (portability-PLR_153) |
PSS008826| African Ancestry| 3,757 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0259 [-0.0062, 0.0579] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009388 | PGS001811 (portability-PLR_208) |
PSS009281| European Ancestry| 19,812 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0643 [0.0504, 0.0782] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009389 | PGS001811 (portability-PLR_208) |
PSS009055| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0651 [0.0345, 0.0955] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009390 | PGS001811 (portability-PLR_208) |
PSS008609| European Ancestry| 6,617 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0584 [0.0343, 0.0824] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009391 | PGS001811 (portability-PLR_208) |
PSS008385| Greater Middle Eastern Ancestry| 1,194 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0914 [0.0344, 0.1478] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009392 | PGS001811 (portability-PLR_208) |
PSS008163| South Asian Ancestry| 6,307 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.023 [-0.0017, 0.0477] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009393 | PGS001811 (portability-PLR_208) |
PSS007950| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0293 [-0.0171, 0.0757] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009394 | PGS001811 (portability-PLR_208) |
PSS007731| African Ancestry| 2,469 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0518 [0.0122, 0.0912] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009395 | PGS001811 (portability-PLR_208) |
PSS008834| African Ancestry| 3,905 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0459 [0.0145, 0.0772] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009706 | PGS001852 (portability-PLR_535.6) |
PSS009327| European Ancestry| 18,600 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0198 [0.0055, 0.0342] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009707 | PGS001852 (portability-PLR_535.6) |
PSS009101| European Ancestry| 3,868 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0235 [-0.0081, 0.0551] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009708 | PGS001852 (portability-PLR_535.6) |
PSS008655| European Ancestry| 6,233 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): -0.0217 [-0.0465, 0.0032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009709 | PGS001852 (portability-PLR_535.6) |
PSS008429| Greater Middle Eastern Ancestry| 1,076 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.002 [-0.0583, 0.0623] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009710 | PGS001852 (portability-PLR_535.6) |
PSS008209| South Asian Ancestry| 5,720 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0315 [0.0055, 0.0574] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009711 | PGS001852 (portability-PLR_535.6) |
PSS007991| East Asian Ancestry| 1,684 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0278 [-0.0203, 0.0757] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009712 | PGS001852 (portability-PLR_535.6) |
PSS007774| African Ancestry| 2,298 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): -0.0208 [-0.0618, 0.0203] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009713 | PGS001852 (portability-PLR_535.6) |
PSS008878| African Ancestry| 3,648 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0077 [-0.0249, 0.0402] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009715 | PGS001853 (portability-PLR_540) |
PSS009102| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0345 [0.0039, 0.0649] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009716 | PGS001853 (portability-PLR_540) |
PSS008656| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0198 [-0.0043, 0.0438] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009717 | PGS001853 (portability-PLR_540) |
PSS008430| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0243 [-0.0813, 0.0328] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009718 | PGS001853 (portability-PLR_540) |
PSS008210| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0024 [-0.0223, 0.0271] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009719 | PGS001853 (portability-PLR_540) |
PSS007992| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0008 [-0.0455, 0.0471] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009720 | PGS001853 (portability-PLR_540) |
PSS007775| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0062 [-0.0457, 0.0333] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009721 | PGS001853 (portability-PLR_540) |
PSS008879| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0204 [-0.0517, 0.011] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009714 | PGS001853 (portability-PLR_540) |
PSS009328| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0242 [0.0104, 0.0381] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009730 | PGS001855 (portability-PLR_555.2) |
PSS009330| European Ancestry| 16,188 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0625 [0.0471, 0.0778] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009732 | PGS001855 (portability-PLR_555.2) |
PSS008658| European Ancestry| 5,477 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0453 [0.0188, 0.0717] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009733 | PGS001855 (portability-PLR_555.2) |
PSS008432| Greater Middle Eastern Ancestry| 1,007 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0175 [-0.0449, 0.0799] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009734 | PGS001855 (portability-PLR_555.2) |
PSS008212| South Asian Ancestry| 5,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0407 [0.0139, 0.0676] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009735 | PGS001855 (portability-PLR_555.2) |
PSS007994| East Asian Ancestry| 1,630 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0382 [-0.0107, 0.0868] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009736 | PGS001855 (portability-PLR_555.2) |
PSS007777| African Ancestry| 2,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.031 [-0.0119, 0.0738] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009737 | PGS001855 (portability-PLR_555.2) |
PSS008881| African Ancestry| 3,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): -0.0003 [-0.0337, 0.0331] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009731 | PGS001855 (portability-PLR_555.2) |
PSS009104| European Ancestry| 3,520 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0367 [0.0036, 0.0698] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009738 | PGS001856 (portability-PLR_557.1) |
PSS009331| European Ancestry| 16,106 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.1196 [0.1043, 0.1348] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009739 | PGS001856 (portability-PLR_557.1) |
PSS009105| European Ancestry| 3,509 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0779 [0.0448, 0.1108] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009740 | PGS001856 (portability-PLR_557.1) |
PSS008659| European Ancestry| 5,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.097 [0.0706, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009741 | PGS001856 (portability-PLR_557.1) |
PSS008433| Greater Middle Eastern Ancestry| 998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0652 [0.0025, 0.1273] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009742 | PGS001856 (portability-PLR_557.1) |
PSS008213| South Asian Ancestry| 5,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0535 [0.0265, 0.0805] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009743 | PGS001856 (portability-PLR_557.1) |
PSS007778| African Ancestry| 2,091 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0261 [-0.017, 0.0691] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009744 | PGS001856 (portability-PLR_557.1) |
PSS008882| African Ancestry| 3,455 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.028 [-0.0054, 0.0614] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009761 | PGS001859 (portability-PLR_565.1) |
PSS009334| European Ancestry| 19,196 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0212 [0.007, 0.0353] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009762 | PGS001859 (portability-PLR_565.1) |
PSS009108| European Ancestry| 4,008 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0361 [0.005, 0.067] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009763 | PGS001859 (portability-PLR_565.1) |
PSS008662| European Ancestry| 6,382 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0161 [-0.0085, 0.0406] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009764 | PGS001859 (portability-PLR_565.1) |
PSS008436| Greater Middle Eastern Ancestry| 1,135 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0633 [0.0047, 0.1216] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009765 | PGS001859 (portability-PLR_565.1) |
PSS008216| South Asian Ancestry| 5,990 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): -0.0037 [-0.029, 0.0217] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009766 | PGS001859 (portability-PLR_565.1) |
PSS007997| East Asian Ancestry| 1,770 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0417 [-0.0051, 0.0884] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009767 | PGS001859 (portability-PLR_565.1) |
PSS007781| African Ancestry| 2,363 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0309 [-0.0096, 0.0713] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009768 | PGS001859 (portability-PLR_565.1) |
PSS008885| African Ancestry| 3,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0059 [-0.0261, 0.0379] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010037 | PGS001894 (portability-PLR_celiac_gluten) |
PSS009164| European Ancestry| 1,354 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0796 [0.026, 0.1327] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010038 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008718| European Ancestry| 2,442 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0358 [-0.0041, 0.0755] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010039 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008492| Greater Middle Eastern Ancestry| 208 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0295 [-0.1141, 0.1719] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010040 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008270| South Asian Ancestry| 908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0219 [-0.0439, 0.0876] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010041 | PGS001894 (portability-PLR_celiac_gluten) |
PSS007834| African Ancestry| 400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): -0.0127 [-0.1132, 0.088] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010042 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008938| African Ancestry| 526 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0162 [-0.0711, 0.1032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010036 | PGS001894 (portability-PLR_celiac_gluten) |
PSS009390| European Ancestry| 7,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0993 [0.0763, 0.1223] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010978 | PGS002013 (portability-ldpred2_153) |
PSS009272| European Ancestry| 18,722 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0397 [0.0254, 0.054] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010979 | PGS002013 (portability-ldpred2_153) |
PSS009046| European Ancestry| 3,922 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0419 [0.0105, 0.0732] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010980 | PGS002013 (portability-ldpred2_153) |
PSS008600| European Ancestry| 6,241 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0234 [-0.0015, 0.0482] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010981 | PGS002013 (portability-ldpred2_153) |
PSS008378| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0315 [-0.0276, 0.0904] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010982 | PGS002013 (portability-ldpred2_153) |
PSS008154| South Asian Ancestry| 6,010 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0275 [0.0021, 0.0528] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010983 | PGS002013 (portability-ldpred2_153) |
PSS007942| East Asian Ancestry| 1,719 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.026 [-0.0215, 0.0735] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010984 | PGS002013 (portability-ldpred2_153) |
PSS007724| African Ancestry| 2,362 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0053 [-0.0352, 0.0458] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010985 | PGS002013 (portability-ldpred2_153) |
PSS008826| African Ancestry| 3,757 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0265 [-0.0056, 0.0585] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011026 | PGS002019 (portability-ldpred2_208) |
PSS009281| European Ancestry| 19,812 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0716 [0.0577, 0.0854] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011027 | PGS002019 (portability-ldpred2_208) |
PSS009055| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0761 [0.0456, 0.1065] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011028 | PGS002019 (portability-ldpred2_208) |
PSS008609| European Ancestry| 6,617 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0659 [0.0418, 0.0899] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011029 | PGS002019 (portability-ldpred2_208) |
PSS008385| Greater Middle Eastern Ancestry| 1,194 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0966 [0.0396, 0.153] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011030 | PGS002019 (portability-ldpred2_208) |
PSS008163| South Asian Ancestry| 6,307 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0398 [0.0151, 0.0645] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011031 | PGS002019 (portability-ldpred2_208) |
PSS007950| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0601 [0.0137, 0.1063] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011032 | PGS002019 (portability-ldpred2_208) |
PSS007731| African Ancestry| 2,469 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0409 [0.0012, 0.0803] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011033 | PGS002019 (portability-ldpred2_208) |
PSS008834| African Ancestry| 3,905 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0603 [0.0289, 0.0916] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011374 | PGS002064 (portability-ldpred2_540) |
PSS009328| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0149 [0.0011, 0.0288] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011375 | PGS002064 (portability-ldpred2_540) |
PSS009102| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0011 [-0.0317, 0.0294] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011376 | PGS002064 (portability-ldpred2_540) |
PSS008656| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0284 [0.0043, 0.0524] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011377 | PGS002064 (portability-ldpred2_540) |
PSS008430| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0502 [-0.1069, 0.0069] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011378 | PGS002064 (portability-ldpred2_540) |
PSS008210| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0161 [-0.0085, 0.0408] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011379 | PGS002064 (portability-ldpred2_540) |
PSS007992| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0333 [-0.0131, 0.0795] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011380 | PGS002064 (portability-ldpred2_540) |
PSS007775| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0115 [-0.051, 0.028] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011381 | PGS002064 (portability-ldpred2_540) |
PSS008879| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0213 [-0.0101, 0.0526] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011390 | PGS002066 (portability-ldpred2_555.2) |
PSS009330| European Ancestry| 16,188 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0641 [0.0487, 0.0794] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011391 | PGS002066 (portability-ldpred2_555.2) |
PSS009104| European Ancestry| 3,520 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0466 [0.0135, 0.0796] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011392 | PGS002066 (portability-ldpred2_555.2) |
PSS008658| European Ancestry| 5,477 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0426 [0.0161, 0.0691] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011393 | PGS002066 (portability-ldpred2_555.2) |
PSS008432| Greater Middle Eastern Ancestry| 1,007 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0056 [-0.0568, 0.068] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011395 | PGS002066 (portability-ldpred2_555.2) |
PSS007994| East Asian Ancestry| 1,630 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0398 [-0.009, 0.0885] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011396 | PGS002066 (portability-ldpred2_555.2) |
PSS007777| African Ancestry| 2,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0272 [-0.0157, 0.0701] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011397 | PGS002066 (portability-ldpred2_555.2) |
PSS008881| African Ancestry| 3,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0058 [-0.0276, 0.0392] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011394 | PGS002066 (portability-ldpred2_555.2) |
PSS008212| South Asian Ancestry| 5,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0388 [0.0119, 0.0656] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011398 | PGS002067 (portability-ldpred2_557.1) |
PSS009331| European Ancestry| 16,106 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.1241 [0.1088, 0.1393] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011400 | PGS002067 (portability-ldpred2_557.1) |
PSS008659| European Ancestry| 5,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0979 [0.0714, 0.1242] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011401 | PGS002067 (portability-ldpred2_557.1) |
PSS008433| Greater Middle Eastern Ancestry| 998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0718 [0.0092, 0.1339] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011402 | PGS002067 (portability-ldpred2_557.1) |
PSS008213| South Asian Ancestry| 5,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0512 [0.0242, 0.0781] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011403 | PGS002067 (portability-ldpred2_557.1) |
PSS007778| African Ancestry| 2,091 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0094 [-0.0337, 0.0525] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011404 | PGS002067 (portability-ldpred2_557.1) |
PSS008882| African Ancestry| 3,455 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0241 [-0.0093, 0.0575] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011399 | PGS002067 (portability-ldpred2_557.1) |
PSS009105| European Ancestry| 3,509 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0695 [0.0364, 0.1024] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011421 | PGS002070 (portability-ldpred2_565.1) |
PSS009334| European Ancestry| 19,196 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0342 [0.02, 0.0483] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011422 | PGS002070 (portability-ldpred2_565.1) |
PSS009108| European Ancestry| 4,008 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0435 [0.0125, 0.0745] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011423 | PGS002070 (portability-ldpred2_565.1) |
PSS008662| European Ancestry| 6,382 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0224 [-0.0022, 0.047] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011424 | PGS002070 (portability-ldpred2_565.1) |
PSS008436| Greater Middle Eastern Ancestry| 1,135 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0438 [-0.015, 0.1022] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011425 | PGS002070 (portability-ldpred2_565.1) |
PSS008216| South Asian Ancestry| 5,990 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0084 [-0.017, 0.0338] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011426 | PGS002070 (portability-ldpred2_565.1) |
PSS007997| East Asian Ancestry| 1,770 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0501 [0.0032, 0.0967] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011427 | PGS002070 (portability-ldpred2_565.1) |
PSS007781| African Ancestry| 2,363 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0457 [0.0052, 0.086] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011428 | PGS002070 (portability-ldpred2_565.1) |
PSS008885| African Ancestry| 3,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): -0.0102 [-0.0422, 0.0219] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011712 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS009390| European Ancestry| 7,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0964 [0.0733, 0.1193] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011713 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS009164| European Ancestry| 1,354 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0848 [0.0313, 0.1379] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011714 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008718| European Ancestry| 2,442 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.041 [0.0012, 0.0807] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011715 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008492| Greater Middle Eastern Ancestry| 208 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0206 [-0.1229, 0.1632] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011716 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008270| South Asian Ancestry| 908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0237 [-0.0422, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011717 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS007834| African Ancestry| 400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): -0.0242 [-0.1245, 0.0766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011718 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008938| African Ancestry| 526 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0172 [-0.0701, 0.1042] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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] | — | Age, sex, genotype platform, family history, principal components | — |
| 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) | — | AUROC: 0.61 [0.592, 0.651] | — | Age, family history, genotype platform, principal components | — |
| 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) | — | AUROC: 0.633 [0.612, 0.655] | — | Age, family history, genotype platform, principal components | — |
| 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] | — | Age, family history, genotype platform, principal components | — |
| 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] | — | Age, family history, genotype platform, principal components | — |
| 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] | — | Age, family history, genotype platform, principal components | — |
| 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 | — | — | 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 | — |
| 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 β: 0.02451 |
AUROC: 0.524 [0.499, 0.55] | — | — | — |
| 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 β: 0.03518 |
AUROC: 0.53 [0.516, 0.545] | — | — | — |
| PPM018664 | PGS002265 (PRS140_CRC) |
PSS011059| European Ancestry| 72,791 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.629 [0.613, 0.645] | Hazard Ratio (HR, top 30% of PGS vs. remainder): 1.92 [1.75, 2.23] | age, sex | — |
| 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 | — | AUROC: 0.591 [0.536, 0.625] | — | age, sex | — |
| 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 | — | AUROC: 0.592 [0.531, 0.652] | — | age, sex | — |
| PPM018667 | PGS002265 (PRS140_CRC) |
PSS011057| African Ancestry| 5,249 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.581 [0.5, 0.645] | — | age, sex | — |
| PPM018668 | PGS002265 (PRS140_CRC) |
PSS011061| European Ancestry| 38,214 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.591 | — | age, sex | — |
| 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] | — | — | — |
| 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] | — | — | — |
| 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] | — | — | — |
| 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] | — | — | — |
| 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] | — | — | — |
| 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] | — | — | — |
| 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] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM016261 | PGS003386 (best_COADREAD) |
PSS010076| European Ancestry| 274,069 individuals |
PGP000413 | Namba S et al. Cancer Res (2022) |
Reported Trait: colorectal cancer | — | AUROC: 0.724 | R²: 0.0115 | age, sex, top 20 genetic principal components | — |
| 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 | — | sex, age and principal components | — |
| 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 | — | sex, age and principal components | — |
| 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 | — | sex, age, center and principal components | — |
| PPM017117 | PGS003431 (LDPred2-inf) |
PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.726 [0.704, 0.748] | R²: 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 | — | C-index: 0.715 [0.686, 0.743] | R²: 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 | — | AUROC: 0.588 [0.545, 0.627] | — | 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 | — | C-index: 0.647 [0.593, 0.7] | R²: 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] | R²: 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] | R²: 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] | R²: 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 | — | AUROC: 0.732 [0.71, 0.752] | R²: 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 | — | C-index: 0.724 [0.696, 0.751] | R²: 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 | — | AUROC: 0.602 [0.558, 0.64] | — | 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 | — | C-index: 0.666 [0.61, 0.72] | R²: 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] | R²: 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] | R²: 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 | — | AUROC: 0.733 [0.71, 0.753] | R²: 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 | — | C-index: 0.725 [0.696, 0.752] | R²: 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 | — | AUROC: 0.601 [0.559, 0.64] | — | 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 | — | C-index: 0.664 [0.609, 0.718] | R²: 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 | — | C-index: 0.73 [0.72, 0.741] | R²: 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 | — | C-index: 0.687 [0.673, 0.702] | R²: 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] | R²: 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] | R²: 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] | R²: 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 | — | AUROC: 0.718 [0.696, 0.739] | R²: 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 | — | C-index: 0.713 [0.686, 0.74] | R²: 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 | — | AUROC: 0.589 [0.546, 0.626] | — | 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 | — | C-index: 0.65 [0.596, 0.705] | R²: 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] | R²: 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] | R²: 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 | — | AUROC: 0.719 [0.696, 0.74] | R²: 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 | — | C-index: 0.707 [0.681, 0.734] | R²: 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 | — | AUROC: 0.597 [0.554, 0.636] | — | 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 | — | C-index: 0.658 [0.606, 0.71] | R²: 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] | R²: 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] | R²: 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 | — | AUROC: 0.703 [0.679, 0.724] | R²: 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 | — | C-index: 0.701 [0.675, 0.729] | R²: 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 | — | AUROC: 0.587 [0.543, 0.624] | — | 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 | — | C-index: 0.659 [0.605, 0.715] | R²: 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 | — | C-index: 0.715 [0.706, 0.726] | R²: 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 | — | C-index: 0.669 [0.655, 0.683] | R²: 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 | — | AUROC: 0.73 [0.71, 0.76] | — | age, first-degree CRC family history, sex, endoscopy history | — |
| 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 | — | AUROC: 0.72 [0.7, 0.74] | — | age, first-degree CRC family history, sex, endoscopy history | — |
| 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] | — | — | — | — |
| 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 | — | — | Odds ratio (OR, Quartile 4 vs Quartile 1): 1.64 [1.32, 2.03] | Sex, ethnicity, drinking frequency, smoke status, and family history | — |
| PPM018677 | PGS003850 (CRC_PRS_200loci) |
PSS011062| Additional Asian Ancestries| 12,025 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | OR: 1.3 | AUROC: 0.6 [0.59, 0.62] | — | Age, sex, PCs 1-4 | — |
| PPM018678 | PGS003850 (CRC_PRS_200loci) |
PSS011063| African Ancestry| 13,823 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | OR: 1.25 | AUROC: 0.58 [0.56, 0.59] | — | Age, sex, PCs 1-4 | — |
| PPM018679 | PGS003850 (CRC_PRS_200loci) |
PSS011064| Hispanic or Latin American Ancestry| 10,377 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | OR: 1.37 | AUROC: 0.59 [0.57, 0.6] | — | Age, sex, PCs 1-4 | — |
| PPM018680 | PGS003850 (CRC_PRS_200loci) |
PSS011065| European Ancestry| 118,756 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | OR: 1.62 | AUROC: 0.61 [0.6, 0.62] | — | Age, sex, PCs 1-4 | — |
| PPM018681 | PGS003851 (CRC_PRS_EUR) |
PSS011062| Additional Asian Ancestries| 12,025 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | — | AUROC: 0.619 [0.547, 0.689] | — | Age, sex, PCs 1-10 | — |
| PPM018682 | PGS003851 (CRC_PRS_EUR) |
PSS011063| African Ancestry| 13,823 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | — | AUROC: 0.526 [0.419, 0.62] | — | Age, sex, PCs 1-10 | — |
| PPM018683 | PGS003851 (CRC_PRS_EUR) |
PSS011064| Hispanic or Latin American Ancestry| 10,377 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | — | AUROC: 0.584 [0.511, 0.656] | — | Age, sex, PCs 1-10 | — |
| PPM018684 | PGS003851 (CRC_PRS_EUR) |
PSS011065| European Ancestry| 118,756 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | — | AUROC: 0.638 [0.624, 0.652] | — | Age, sex, PCs 1-10 | — |
| 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 | — | AUROC: 0.654 [0.639, 0.669] | — | age, sex | — |
| 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 | — | AUROC: 0.601 [0.538, 0.664] | — | age, sex | — |
| 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 | — | AUROC: 0.543 [0.5, 0.6241] | — | age, sex | — |
| 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 | — | AUROC: 0.602 [0.542, 0.662] | — | age, sex | — |
| PPM018673 | PGS003852 (CRC_PRS_EUR_EAS) |
PSS011062| Additional Asian Ancestries| 12,025 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Reported Trait: Colorectal cancer | OR: 1.64 [1.55, 1.74] | AUROC: 0.63 [0.62, 0.64] | — | Age, sex, PCs 1-4 | — |
| PPM018674 | PGS003852 (CRC_PRS_EUR_EAS) |
PSS011063| African Ancestry| 13,823 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Reported Trait: Colorectal cancer | OR: 1.39 [1.31, 1.47] | AUROC: 0.59 [0.57, 0.61] | — | Age, sex, PCs 1-4 | — |
| PPM018675 | PGS003852 (CRC_PRS_EUR_EAS) |
PSS011064| Hispanic or Latin American Ancestry| 10,377 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Reported Trait: Colorectal cancer | OR: 1.62 [1.51, 1.73] | AUROC: 0.62 [0.6, 0.63] | — | Age, sex, PCs 1-4 | — |
| PPM018676 | PGS003852 (CRC_PRS_EUR_EAS) |
PSS011065| European Ancestry| 118,756 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Reported Trait: Colorectal cancer | OR: 1.67 [1.6, 1.75] | AUROC: 0.65 [0.64, 0.66] | — | Age, sex, PCs 1-4 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009164 | — | — | 1,354 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008655 | — | — | 6,233 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008656 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008658 | — | — | 5,477 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008659 | — | — | 5,445 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008662 | — | — | 6,382 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008154 | — | — | 6,010 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS003667 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003668 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003669 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003670 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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 | [
|
Median = 57.0 years | Other, NR | All ancestral backgrounds within UKB | UKB | Cohort for integrated model development in women |
| PSS008163 | — | — | 6,307 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009588 | — | — | [
|
— | European | — | BV | — |
| PSS009593 | — | — | [
|
— | Not reported | — | TCGA | — |
| PSS011058 | — | — | [ ,
42.1 % Male samples |
Mean = 55.8 years Range = [20.0, 90.0] years |
East Asian | — | GERA | — |
| PSS011059 | — | — | [ ,
41.6 % Male samples |
Mean = 62.3 years Range = [20.0, 90.0] years |
European | — | GERA | — |
| PSS011060 | — | — | [ ,
38.7 % Male samples |
Mean = 55.0 years Range = [20.0, 90.0] years |
Hispanic or Latin American | — | GERA | — |
| PSS011057 | — | — | [ ,
65.5 % Male samples |
Mean = 61.6 years Range = [20.0, 90.0] years |
African American or Afro-Caribbean (African American) |
— | GERA | — |
| 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. | — | [
|
— | European | — | eMERGE | — |
| PSS011062 | — | — | [ ,
50.5 % Male samples |
Mean = 64.5 years | Asian unspecified | — | GERA, MG-JPN | — |
| PSS011063 | — | — | [ ,
44.0 % Male samples |
Mean = 61.33 years | African American or Afro-Caribbean | — | GERA, MG-AA, eMERGE | — |
| PSS011064 | — | — | [ ,
47.5 % Male samples |
Mean = 64.0 years | Hispanic or Latin American | — | GERA, HCCS | — |
| PSS011065 | — | — | [ ,
52.75 % Male samples |
Mean = 65.75 years | European | — | BCC, CPSII, GERA, eMERGE | — |
| PSS000016 | Inflammatory bowel disease ascertainment was based on report in an interview with a trained nurse, or an ICD-9 code of 555.X or ICD-10 code of K51.X in hospitalization records. | — | [
|
— | European | — | UKB | UKB Phase 2 |
| PSS007708 | — | — | [
|
— | European | — | UKB | — |
| PSS004741 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004742 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004743 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004744 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004745 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008209 | — | — | 5,720 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008210 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008212 | — | — | 5,337 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011070 | — | — | 332 individuals, 0.0 % Male samples |
Median = 58.0 years IQR = [52.0, 64.0] years |
East Asian (Chinese) |
— | SCHS | — |
| PSS011071 | — | — | 409 individuals, 100.0 % Male samples |
Median = 59.0 years IQR = [52.0, 65.0] years |
East Asian (Chinese) |
— | SCHS | — |
| PSS008213 | — | — | 5,277 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008216 | — | — | 5,990 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009390 | — | — | 7,142 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS004119 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS007724 | — | — | 2,362 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007731 | — | — | 2,469 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009272 | — | — | 18,722 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009281 | — | — | 19,812 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009918 | — | — | 5,306 individuals, 51.9 % Male samples |
Mean = 62.1 years | European | — | BLITZ | — |
| PSS008270 | — | — | 908 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS007774 | — | — | 2,298 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007775 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007777 | — | — | 2,105 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007778 | — | — | 2,091 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009923 | — | — | [
|
— | East Asian (Chinese) |
— | NR | — |
| PSS009924 | — | — | [
|
— | East Asian (Korean) |
— | NR | — |
| PSS007781 | — | — | 2,363 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009327 | — | — | 18,600 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009328 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009330 | — | — | 16,188 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009331 | — | — | 16,106 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009334 | — | — | 19,196 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008826 | — | — | 3,757 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS004339 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004340 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004341 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004342 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004343 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008834 | — | — | 3,905 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009105 | — | — | 3,509 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009645 | — | — | [
|
— | Not reported | — | DACHS | — |
| 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 the International Classification of Diseases, Ninth Revision (ICD-9) or the International Classification of Diseases, Tenth Revision (ICD-10). Colorectal Cancer=(ICD-9 = 153, 154.1 or ICD-10 = C18, C20) | Median = 5.8 years | [ ,
46.5 % Male samples |
— | European | — | UKB | — |
| PSS010076 | C18, C19, C20 | — | [
|
— | European (British) |
— | UKB | Controls were samples without any cancer diagnosis or self-reported cancer |
| PSS009108 | — | — | 4,008 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000059 | — | — | [
|
— | European (Finnish) |
— | FINRISK, Health2000 | — |
| PSS000060 | — | — | [
|
— | European (British) |
— | NR | Immunochip |
| PSS000061 | — | — | [
|
— | European (Italian) |
— | NR | — |
| PSS000062 | — | — | [
|
— | European (Dutch) |
— | NR | — |
| PSS000063 | — | — | [
|
— | European (British) |
— | NR | — |
| PSS007834 | — | — | 400 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000064 | — | — | [
|
— | European | — | NIDDK | — |
| PSS000065 | The HLA-DQ2.5-positive subset of NIDDK-CIDR | — | [
|
— | European | — | NIDDK | HLA alleles were imputed using SNP2HLA |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS010092 | — | — | [
|
— | European | — | CORSA | — |
| PSS010093 | — | — | [
|
— | East Asian (Chinese) |
— | NR | JSCRC |
| PSS010094 | — | — | 355,543 individuals | — | European | — | UKB | — |
| PSS004389 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004390 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004391 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004392 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004393 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008878 | — | — | 3,648 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008879 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| 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 | — | [
|
— | European | — | MGI | — |
| 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 | — | [
|
— | European | — | MGI | — |
| PSS001013 | Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. | — | [
|
— | European | — | UKB | — |
| 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 | — | [
|
— | European | — | MGI | — |
| PSS008881 | — | — | 3,465 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008882 | — | — | 3,455 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008378 | — | — | 1,123 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008885 | — | — | 3,762 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008385 | — | — | 1,194 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008609 | — | — | 6,617 individuals | — | European | Italy (South Europe) | UKB | — |
| 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. | — | [
|
Range = [50.0, 100.0] years | European | — | RPGEH | — |
| 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. | — | [
|
Range = [0.0, 50.0] years | European | — | RPGEH | — |
| PSS000251 | Colorectal adenocarcinoma located in the distal colon confirmed by medical records, pathology reports, or death certificate | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
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 | — | [ ,
100.0 % Male samples |
— | European | — | 6 cohorts
|
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 | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
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 | — | [ ,
100.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000255 | Colorectal adenocarcinoma located in the rectum confirmed by medical records, pathology reports, or death certificate | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000256 | Colorectal adenocarcinoma located in the rectum confirmed by medical records, pathology reports, or death certificate | — | [ ,
100.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000257 | Colorectal adenocarcinoma confirmed by medical records, pathology reports, or death certificate | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000258 | Colorectal adenocarcinoma confirmed by medical records, pathology reports, or death certificate | — | [ ,
100.0 % Male samples |
— | European | — | 6 cohorts
|
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 | — | [
|
— | European | — | UKB | — |
| PSS000259 | — | — | [ ,
57.21 % Male samples |
Range = [25.0, 90.0] years | European (Spanish) |
— | MCC-Spain | — |
| 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. | — | [
|
Range = [50.0, 100.0] years | European | — | RPGEH | — |
| PSS004423 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004424 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004425 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004426 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS000086 | — | — | [
|
— | East Asian | — | 8 cohorts
|
— |
| PSS000087 | — | — | [
|
— | European | — | 8 cohorts
|
— |
| PSS009566 | — | — | [
|
Maximum = 50.0 years | European | — | 9 cohorts
|
CRCGEN, Kentucky, LCCS |
| PSS004442 | — | — | [
|
— | African unspecified | — | UKB | — |
| 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 ≥10 mm in diameter or with advanced histology (tubulovillous/villous histological features or high-grade/severe dysplasia) or ≥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 ≥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. | — | [ ,
30.0 % Male samples |
Mean = 63.2 years Sd = 10.0 years |
European | — | HPFS, NHS, NHS2 | — |
| PSS004444 |