| 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 |
22 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 GWAS Dev Eval |
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 | 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 | 53 | 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) |
Crohn's 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 et al. Nat Commun (2023) |
Colorectal cancer | colorectal cancer | 1,016,596 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003852/ScoringFiles/PGS003852.txt.gz |
| PGS003979 (CRC_PRSCS) |
PGP000515 | Tamlander M et al. Br J Cancer (2023) |
Colorectal cancer | colorectal carcinoma | 1,088,133 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003979/ScoringFiles/PGS003979.txt.gz |
| PGS003981 (dbslmm.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,103,311 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003981/ScoringFiles/PGS003981.txt.gz | |
| PGS003997 (lassosum.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 8,406 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003997/ScoringFiles/PGS003997.txt.gz | |
| PGS004013 (lassosum.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 22,690 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004013/ScoringFiles/PGS004013.txt.gz | |
| PGS004023 (ldpred2.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,018,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004023/ScoringFiles/PGS004023.txt.gz | |
| PGS004038 (ldpred2.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,018,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004038/ScoringFiles/PGS004038.txt.gz | |
| PGS004051 (megaprs.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 784,928 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004051/ScoringFiles/PGS004051.txt.gz | |
| PGS004067 (megaprs.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 784,928 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004067/ScoringFiles/PGS004067.txt.gz | |
| PGS004081 (prscs.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,073,268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004081/ScoringFiles/PGS004081.txt.gz | |
| PGS004097 (prscs.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,073,268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004097/ScoringFiles/PGS004097.txt.gz | |
| PGS004105 (pt_clump.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 139 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004105/ScoringFiles/PGS004105.txt.gz | |
| PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 774 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004121/ScoringFiles/PGS004121.txt.gz | |
| PGS004135 (sbayesr.auto.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 912,746 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004135/ScoringFiles/PGS004135.txt.gz | |
| PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,102,205 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004151/ScoringFiles/PGS004151.txt.gz | |
| PGS004240 (PRS89_CRC) |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Colorectal cancer | colorectal carcinoma | 89 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004240/ScoringFiles/PGS004240.txt.gz |
| PGS004243 (PRS67_colorectum) |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Colorectal cancer | colorectal carcinoma | 67 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004243/ScoringFiles/PGS004243.txt.gz |
| PGS004253 (uc_ldpred2) |
PGP000545 | Middha P et al. Nat Commun (2024) |
Ulcerative colitis | ulcerative colitis | 744,575 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004253/ScoringFiles/PGS004253.txt.gz | |
| PGS004254 (cd_ldpred2) |
PGP000545 | Middha P et al. Nat Commun (2024) |
Crohn's disease | Crohn's disease | 744,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004254/ScoringFiles/PGS004254.txt.gz | |
| PGS004270 (GenoBoost_inflammatory_bowel_disease_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004270/ScoringFiles/PGS004270.txt.gz |
| PGS004271 (GenoBoost_inflammatory_bowel_disease_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004271/ScoringFiles/PGS004271.txt.gz |
| PGS004272 (GenoBoost_inflammatory_bowel_disease_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004272/ScoringFiles/PGS004272.txt.gz |
| PGS004273 (GenoBoost_inflammatory_bowel_disease_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 110 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004273/ScoringFiles/PGS004273.txt.gz |
| PGS004274 (GenoBoost_inflammatory_bowel_disease_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Inflammatory bowel disease | inflammatory bowel disease | 40 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004274/ScoringFiles/PGS004274.txt.gz |
| PGS004300 (GenoBoost_colorectal_cancer_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Colorectal cancer | colorectal carcinoma | 70 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004300/ScoringFiles/PGS004300.txt.gz |
| PGS004301 (GenoBoost_colorectal_cancer_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Colorectal cancer | colorectal carcinoma | 600 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004301/ScoringFiles/PGS004301.txt.gz |
| PGS004302 (GenoBoost_colorectal_cancer_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Colorectal cancer | colorectal carcinoma | 300 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004302/ScoringFiles/PGS004302.txt.gz |
| PGS004303 (GenoBoost_colorectal_cancer_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Colorectal cancer | colorectal carcinoma | 200 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004303/ScoringFiles/PGS004303.txt.gz |
| PGS004304 (GenoBoost_colorectal_cancer_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Colorectal cancer | colorectal carcinoma | 700 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004304/ScoringFiles/PGS004304.txt.gz |
| PGS004445 (disease.D12.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
D12 (Benign neoplasm of colon, rectum, anus and anal canal) | colorectal carcinoma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004445/ScoringFiles/PGS004445.txt.gz |
| PGS004474 (disease.K57.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K57 (Diverticular disease of intestine) | diverticular disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004474/ScoringFiles/PGS004474.txt.gz |
| PGS004475 (disease.K59.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K59 (Other functional intestinal disorders) | intestinal disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004475/ScoringFiles/PGS004475.txt.gz |
| PGS004515 (meta.D12.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
D12 (Benign neoplasm of colon, rectum, anus and anal canal) | colorectal carcinoma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004515/ScoringFiles/PGS004515.txt.gz |
| PGS004544 (meta.K57.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K57 (Diverticular disease of intestine) | diverticular disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004544/ScoringFiles/PGS004544.txt.gz |
| PGS004545 (meta.K59.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K59 (Other functional intestinal disorders) | intestinal disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004545/ScoringFiles/PGS004545.txt.gz |
| PGS004580 (CRC_PRSCS) |
PGP000562 | Youssef O et al. Lab Invest (2024) |
Colorectal cancer | colorectal carcinoma | 1,099,906 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004580/ScoringFiles/PGS004580.txt.gz |
| PGS004586 (PPS_CRC) |
PGP000564 | Xin J et al. Nat Commun (2024) |
Colorectal cancer | colorectal carcinoma | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004586/ScoringFiles/PGS004586.txt.gz |
| PGS004614 (DivD_SNPWeights) |
PGP000592 | Wu Y et al. Cell Genom (2023) |
Diverticular disease | diverticular disease | 1,082,282 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004614/ScoringFiles/PGS004614.txt.gz |
| PGS004689 (colorectal_cancer) |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Colorectal cancer | colorectal carcinoma | 1,077,789 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004689/ScoringFiles/PGS004689.txt.gz | |
| PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Appendicitis | appendicitis | 601,835 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004876/ScoringFiles/PGS004876.txt.gz |
| PGS004880 (INTERVENE_MegaPRS_Colorectal_cancer) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Colorectal cancer | colorectal carcinoma | 843,248 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004880/ScoringFiles/PGS004880.txt.gz | |
| PGS004904 (PRS127_CRC) |
PGP000636 | Jiang F et al. Int J Cancer (2023) |
Colorectal cancer | colorectal carcinoma | 127 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004904/ScoringFiles/PGS004904.txt.gz |
| PGS004912 (PRS183) |
PGP000643 | Tian J et al. Genome Med (2024) |
Colorectal neoplasm | colorectal carcinoma | 183 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004912/ScoringFiles/PGS004912.txt.gz | |
| PGS004930 (celiac_disease_snpnet_combined) |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Celiac disease | celiac disease | 463 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004930/ScoringFiles/PGS004930.txt.gz |
| PGS004945 (PRS87_CRC) |
PGP000671 | Gao P et al. Int J Cancer (2023) |
Colorectal cancer | colorectal cancer | 87 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004945/ScoringFiles/PGS004945.txt.gz |
|
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 |
— | — | — |
| PPM020769 | PGS000765 (PRS_CRC95) |
PSS011399| European Ancestry| 1,428 individuals |
PGP000583 | Dueñas N et al. J Med Genet (2023) |Ext. |
Reported Trait: Colorectal cancer or advanced adenoma in individuals with Lynch syndrome | HR: 1.019 [1.005, 1.032] | — | — | Sex, birth cohort, other Lynch syndrome-related cancers | — |
| PPM020782 | PGS000765 (PRS_CRC95) |
PSS011409| European Ancestry| 2,059 individuals |
PGP000589 | Mur P et al. Cancers (Basel) (2021) |Ext. |
Reported Trait: Familial / early-onset colorectal cancer | OR: 1.12 [1.09, 1.14] | — | — | Age, sex | Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded |
| PPM020783 | PGS000765 (PRS_CRC95) |
PSS011410| European Ancestry| 2,719 individuals |
PGP000589 | Mur P et al. Cancers (Basel) (2021) |Ext. |
Reported Trait: Sporadic colorectal cancer | OR: 1.08 [1.06, 1.09] | — | — | Age, sex | Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded |
| PPM020784 | PGS000765 (PRS_CRC95) |
PSS011409| European Ancestry| 2,059 individuals |
PGP000589 | Mur P et al. Cancers (Basel) (2021) |Ext. |
Reported Trait: Familial / early-onset colorectal cancer | — | AUROC: 0.833 | R²: 0.373 | Age at cancer diagnosis, sex | Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded |
| PPM020785 | PGS000765 (PRS_CRC95) |
PSS011409| European Ancestry| 2,059 individuals |
PGP000589 | Mur P et al. Cancers (Basel) (2021) |Ext. |
Reported Trait: Familial / early-onset colorectal cancer | — | AUROC: 0.905 | R²: 0.598 | Age at cancer diagnosis, sex, family history of colorectal cancer | Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded. Only 405 cases and 1,094 controls were included in this analysis |
| PPM002056 | PGS000785 (CC_Colorectal_IV) |
PSS001013| European Ancestry| 393,723 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident colorectal cancer | HR: 1.48 [1.43, 1.54] | AUROC: 0.716 C-index: 0.716 (0.006) |
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 | — |
| PPM021728 | PGS002066 (portability-ldpred2_555.2) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |Ext. |
Reported Trait: Ulcerative colitis | OR: 1.11 [0.97, 1.28] | AUROC: 0.57 | — | — | — |
| 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 | — |
| PPM020729 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Colorectal cancer | — | AUROC: 0.615 [0.529, 0.7] | — | — | — |
| PPM020730 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Advanced adenoma | — | AUROC: 0.589 [0.562, 0.616] | — | — | — |
| PPM020731 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Non-advanced adenoma | — | AUROC: 0.555 [0.534, 0.576] | — | — | — |
| PPM020732 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms | — | AUROC: 0.591 [0.564, 0.617] | — | — | — |
| PPM020733 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (50 - 59 years) | — | AUROC: 0.586 [0.544, 0.628] | — | — | — |
| PPM020734 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (60 - 79 years) | — | AUROC: 0.597 [0.563, 0.631] | — | — | — |
| PPM020735 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (men) | — | AUROC: 0.593 [0.558, 0.629] | — | — | — |
| PPM020736 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (women) | — | AUROC: 0.593 [0.553, 0.633] | — | — | — |
| PPM020737 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (family history) | — | AUROC: 0.555 [0.471 - 0.639 | — | — | — |
| PPM020738 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (non family history) | — | AUROC: 0.599 [0.57, 0.627] | — | — | — |
| PPM020739 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (previous colonoscopy) | — | AUROC: 0.607 [0.551, 0.663] | — | — | — |
| PPM020740 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (no previous colonoscopy) | — | AUROC: 0.585 [0.555, 0.616] | — | — | — |
| PPM020902 | PGS002265 (PRS140_CRC) |
PSS011444| Multi-ancestry (including European)| 4,035 individuals |
PGP000601 | Niedermaier T et al. Clin Transl Gastroenterol (2022) |Ext. |
Reported Trait: Advanced neoplasia (colorectal cancer or advanced adenoma) | — | — | Positive predictive value (PPV, highest PRS tertile): 39.0 [36.0, 42.0] | — | Intermediate (90% specificity) FIT cutoff. |
| PPM020901 | PGS002265 (PRS140_CRC) |
PSS011445| Multi-ancestry (including European)| 1,271 individuals |
PGP000601 | Niedermaier T et al. Clin Transl Gastroenterol (2022) |Ext. |
Reported Trait: Advanced neoplasia (colorectal cancer or advanced adenoma) | — | — | Positive predictive value (PPV, highest PRS tertile): 37.0 [31.0, 43.0] | — | Intermediate (90% specificity) FIT cutoff. |
| 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 et al. Nat Commun (2023) |Ext. |
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 et al. Nat Commun (2023) |Ext. |
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 et al. Nat Commun (2023) |Ext. |
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 et al. Nat Commun (2023) |Ext. |
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 et al. Nat Commun (2023) |Ext. |
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 et al. Nat Commun (2023) |Ext. |
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 et al. Nat Commun (2023) |Ext. |
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 et al. Nat Commun (2023) |Ext. |
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 et al. Nat Commun (2023) |
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 et al. Nat Commun (2023) |
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 et al. Nat Commun (2023) |
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 et al. Nat Commun (2023) |
Reported Trait: Colorectal cancer | OR: 1.67 [1.6, 1.75] | AUROC: 0.65 [0.64, 0.66] | — | Age, sex, PCs 1-4 | — |
| PPM019147 | PGS003979 (CRC_PRSCS) |
PSS011211| European Ancestry| 453,733 individuals |
PGP000515 | Tamlander M et al. Br J Cancer (2023) |
Reported Trait: Colorectal cancer | OR: 1.63 [1.6, 1.67] | AUROC: 0.795 [0.791, 0.799] | — | year of birth, sex, ten first principal components of ancestry, genotyping batch, genotyping array | — |
| PPM019233 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33244 [1.27636372, 1.39097687] β: 0.28701 [0.24401519, 0.33000628] |
AUROC: 0.57783 [0.56512605, 0.59053543] | R²: 0.01296 [0.00925469, 0.01730226] | 0 | beta = log(or)/sd_pgs |
| PPM019234 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.89729 [1.85459133, 1.94097411] β: 0.64043 [0.61766436, 0.66318997] |
AUROC: 0.67371 [0.66774486, 0.67966784] | R²: 0.06325 [0.05894778, 0.06769876] | 0 | beta = log(or)/sd_pgs |
| PPM019235 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.82983 [1.67934751, 1.99380176] β: 0.60422 [0.51840533, 0.69004325] |
AUROC: 0.67951 [0.6554003, 0.70362688] | R²: 0.06185 [0.04504691, 0.07994757] | 0 | beta = log(or)/sd_pgs |
| PPM019236 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.51174 [1.44162473, 1.58525957] β: 0.41326 [0.36577076, 0.46074816] |
AUROC: 0.61196 [0.59842833, 0.62548631] | R²: 0.02672 [0.02061732, 0.03338123] | 0 | beta = log(or)/sd_pgs |
| PPM019237 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.62008 [1.39671425, 1.87915576] β: 0.48247 [0.33412251, 0.63082261] |
AUROC: 0.63378 [0.58989144, 0.67766932] | R²: 0.03702 [0.01608167, 0.06421945] | 0 | beta = log(or)/sd_pgs |
| PPM019238 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8704 [1.77207759, 1.97418775] β: 0.62615 [0.57215264, 0.68015705] |
AUROC: 0.6725 [0.65793656, 0.68706996] | R²: 0.06214 [0.05189291, 0.07413997] | 0 | beta = log(or)/sd_pgs |
| PPM019287 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.35075 [1.2938079, 1.41020626] β: 0.30066 [0.25758973, 0.34373598] |
AUROC: 0.57941 [0.5666597, 0.59215135] | R²: 0.01418 [0.01023193, 0.01900507] | 0 | beta = log(or)/sd_pgs |
| PPM019288 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.94603 [1.90231852, 1.99073726] β: 0.66579 [0.64307341, 0.68850505] |
AUROC: 0.67873 [0.67277732, 0.68467331] | R²: 0.06881 [0.06412546, 0.07367853] | 0 | beta = log(or)/sd_pgs |
| PPM019289 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.83801 [1.67998664, 2.01090769] β: 0.60869 [0.51878584, 0.69858621] |
AUROC: 0.66965 [0.64499602, 0.69430838] | R²: 0.05739 [0.04006869, 0.07674132] | 0 | beta = log(or)/sd_pgs |
| PPM019290 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53922 [1.46791286, 1.61399308] β: 0.43128 [0.38384157, 0.47871128] |
AUROC: 0.61798 [0.60434303, 0.63161432] | R²: 0.0292 [0.02256932, 0.03644038] | 0 | beta = log(or)/sd_pgs |
| PPM019291 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.73594 [1.48902968, 2.02379137] β: 0.55155 [0.39812468, 0.70497267] |
AUROC: 0.6478 [0.60413485, 0.69145565] | R²: 0.04539 [0.0233246, 0.07450202] | 0 | beta = log(or)/sd_pgs |
| PPM019292 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.84612 [1.74826591, 1.94945659] β: 0.61309 [0.55862439, 0.66755066] |
AUROC: 0.66875 [0.65403523, 0.68346144] | R²: 0.05865 [0.04924178, 0.07070982] | 0 | beta = log(or)/sd_pgs |
| PPM019281 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.37266 [1.31475201, 1.43311018] β: 0.31675 [0.27364806, 0.35984703] |
AUROC: 0.58423 [0.57151504, 0.59693644] | R²: 0.01572 [0.01144703, 0.0206319] | 0 | beta = log(or)/sd_pgs |
| PPM019282 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.95504 [1.91104715, 2.00004635] β: 0.67041 [0.64765134, 0.69317036] |
AUROC: 0.68013 [0.67419992, 0.68606655] | R²: 0.06951 [0.06473689, 0.07421464] | 0 | beta = log(or)/sd_pgs |
| PPM019283 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.88804 [1.72579599, 2.06553911] β: 0.63554 [0.54568839, 0.72539126] |
AUROC: 0.67769 [0.65323253, 0.70214214] | R²: 0.06269 [0.04522405, 0.0823871] | 0 | beta = log(or)/sd_pgs |
| PPM019284 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.42927 [0.38184872, 0.47669506] OR: 1.53614 [1.46499045, 1.61074219] |
AUROC: 0.61822 [0.60458955, 0.63184308] | R²: 0.02892 [0.02253997, 0.03616631] | 0 | beta = log(or)/sd_pgs |
| PPM019285 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.72939 [1.48187459, 2.01823757] β: 0.54777 [0.3933079, 0.70222464] |
AUROC: 0.64845 [0.60401758, 0.69288196] | R²: 0.04418 [0.02133967, 0.07419211] | 0 | beta = log(or)/sd_pgs |
| PPM019286 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8643 [1.76523033, 1.96893154] β: 0.62289 [0.56828118, 0.67749103] |
AUROC: 0.66977 [0.65505775, 0.68448936] | R²: 0.06022 [0.05064197, 0.07255608] | 0 | beta = log(or)/sd_pgs |
| PPM019252 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.98269 [1.93792696, 2.02848131] β: 0.68445 [0.66161882, 0.70728739] |
AUROC: 0.68464 [0.67874717, 0.6905373] | R²: 0.072 [0.06730218, 0.0770144] | 0 | beta = log(or)/sd_pgs |
| PPM019253 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.96487 [1.79443565, 2.15148758] β: 0.67543 [0.58469057, 0.7661595] |
AUROC: 0.68609 [0.6621402, 0.71004923] | R²: 0.06963 [0.05194957, 0.09014172] | 0 | beta = log(or)/sd_pgs |
| PPM019254 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53961 [1.46795237, 1.61475975] β: 0.43153 [0.38386848, 0.47918619] |
AUROC: 0.61629 [0.6026057, 0.62997539] | R²: 0.02895 [0.02234833, 0.03618136] | 0 | beta = log(or)/sd_pgs |
| PPM019255 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.7204 [1.47508928, 2.00651675] β: 0.54256 [0.38871852, 0.69640026] |
AUROC: 0.64259 [0.59747381, 0.68771596] | R²: 0.0437 [0.02067683, 0.073914] | 0 | beta = log(or)/sd_pgs |
| PPM019256 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.95616 [1.85139121, 2.06685554] β: 0.67098 [0.61593736, 0.72602839] |
AUROC: 0.68274 [0.66821232, 0.69727153] | R²: 0.06887 [0.0582775, 0.08158032] | 0 | beta = log(or)/sd_pgs |
| PPM019251 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.37223 [1.31427216, 1.43274448] β: 0.31644 [0.27328302, 0.35959182] |
AUROC: 0.58458 [0.57191218, 0.59724852] | R²: 0.01565 [0.01132517, 0.02036671] | 0 | beta = log(or)/sd_pgs |
| PPM019215 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.31196 [0.26881857, 0.35510787] OR: 1.3661 [1.30841773, 1.42633451] |
AUROC: 0.5841 [0.57134989, 0.59684775] | R²: 0.01522 [0.01107929, 0.02001683] | 0 | beta = log(or)/sd_pgs |
| PPM019216 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.00709 [1.96176588, 2.05345818] β: 0.69669 [0.67384503, 0.71952529] |
AUROC: 0.68746 [0.68158682, 0.69333034] | R²: 0.07463 [0.06986494, 0.07986579] | 0 | beta = log(or)/sd_pgs |
| PPM019217 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.946 [1.77718979, 2.13085165] β: 0.66578 [0.57503335, 0.75652173] |
AUROC: 0.68641 [0.66260609, 0.71022055] | R²: 0.06759 [0.05044678, 0.08786643] | 0 | beta = log(or)/sd_pgs |
| PPM019218 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.55477 [1.48236145, 1.63071918] β: 0.44133 [0.39363639, 0.48902113] |
AUROC: 0.61939 [0.60573135, 0.63303932] | R²: 0.03025 [0.02378047, 0.03760108] | 0 | beta = log(or)/sd_pgs |
| PPM019219 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.71999 [1.47511022, 2.0055147] β: 0.54232 [0.38873271, 0.69590074] |
AUROC: 0.6425 [0.59742729, 0.68757268] | R²: 0.0438 [0.02149854, 0.07523503] | 0 | beta = log(or)/sd_pgs |
| PPM019220 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.96885 [1.86342403, 2.08023967] β: 0.67745 [0.62241567, 0.73248311] |
AUROC: 0.68458 [0.67015772, 0.69899497] | R²: 0.07025 [0.05946809, 0.08300365] | 0 | beta = log(or)/sd_pgs |
| PPM019257 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.314 [0.27094623, 0.3570459] OR: 1.36888 [1.31120456, 1.42910147] |
AUROC: 0.58489 [0.57210995, 0.59766877] | R²: 0.01549 [0.01126134, 0.02041918] | 0 | beta = log(or)/sd_pgs |
| PPM019258 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.00653 [1.96129353, 2.05281389] β: 0.69641 [0.67360422, 0.71921148] |
AUROC: 0.6875 [0.68162312, 0.69338152] | R²: 0.07485 [0.07002551, 0.07988684] | 0 | beta = log(or)/sd_pgs |
| PPM019259 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.90388 [1.74000795, 2.08318936] β: 0.64389 [0.55388968, 0.73390007] |
AUROC: 0.68195 [0.6575792, 0.70632398] | R²: 0.06418 [0.04826446, 0.08480071] | 0 | beta = log(or)/sd_pgs |
| PPM019260 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53763 [1.4663408, 1.61237934] β: 0.43024 [0.38277005, 0.47771094] |
AUROC: 0.61658 [0.60284816, 0.63032177] | R²: 0.02901 [0.02229249, 0.03588211] | 0 | beta = log(or)/sd_pgs |
| PPM019261 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.63845 [1.40628747, 1.90892925] β: 0.49375 [0.34095323, 0.64654248] |
AUROC: 0.63419 [0.59012677, 0.6782445] | R²: 0.03667 [0.01631785, 0.06339845] | 0 | beta = log(or)/sd_pgs |
| PPM019262 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9624 [1.85716399, 2.07360018] β: 0.67417 [0.61905059, 0.72928631] |
AUROC: 0.68392 [0.669613, 0.69822212] | R²: 0.06945 [0.05902191, 0.08200647] | 0 | beta = log(or)/sd_pgs |
| PPM019263 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.38476 [1.32636725, 1.44573387] β: 0.32553 [0.28244381, 0.36861706] |
AUROC: 0.58792 [0.57519349, 0.60064532] | R²: 0.01662 [0.01245031, 0.02165909] | 0 | beta = log(or)/sd_pgs |
| PPM019264 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.01137 [1.96597864, 2.05780277] β: 0.69881 [0.67599016, 0.72163879] |
AUROC: 0.68759 [0.68172593, 0.69345923] | R²: 0.07527 [0.07053194, 0.08027082] | 0 | beta = log(or)/sd_pgs |
| PPM019265 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.90373 [1.73869829, 2.08443466] β: 0.64382 [0.55313673, 0.73449767] |
AUROC: 0.6761 [0.65087661, 0.7013209] | R²: 0.06308 [0.04633231, 0.08351713] | 0 | beta = log(or)/sd_pgs |
| PPM019266 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53272 [1.46162704, 1.60726438] β: 0.42704 [0.37955023, 0.47453359] |
AUROC: 0.61571 [0.60206481, 0.62935828] | R²: 0.02855 [0.02210331, 0.03562675] | 0 | beta = log(or)/sd_pgs |
| PPM019267 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64423 [1.41112598, 1.91585079] β: 0.49727 [0.34438796, 0.6501618] |
AUROC: 0.63179 [0.58844221, 0.67513881] | R²: 0.03711 [0.01656446, 0.06453049] | 0 | beta = log(or)/sd_pgs |
| PPM019268 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9918 [1.88516531, 2.1044766] β: 0.68904 [0.63401552, 0.74406679] |
AUROC: 0.68817 [0.673906, 0.70242438] | R²: 0.07284 [0.06218143, 0.08596691] | 0 | beta = log(or)/sd_pgs |
| PPM019275 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33947 [1.28308976, 1.39832777] β: 0.29227 [0.24927105, 0.33527707] |
AUROC: 0.58008 [0.56735638, 0.59280726] | R²: 0.01344 [0.00970498, 0.01810135] | 0 | beta = log(or)/sd_pgs |
| PPM019276 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.93798 [1.89456032, 1.98240343] β: 0.66165 [0.63898679, 0.68430996] |
AUROC: 0.67953 [0.67361679, 0.6854426] | R²: 0.06822 [0.06357639, 0.07320471] | 0 | beta = log(or)/sd_pgs |
| PPM019277 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.81701 [1.66277049, 1.98556228] β: 0.59719 [0.50848518, 0.68590214] |
AUROC: 0.67259 [0.64830467, 0.69688308] | R²: 0.05668 [0.04059064, 0.07517712] | 0 | beta = log(or)/sd_pgs |
| PPM019278 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.52897 [1.45823629, 1.60314492] β: 0.4246 [0.37722769, 0.47196727] |
AUROC: 0.61659 [0.60309036, 0.63008776] | R²: 0.02835 [0.02170599, 0.03546033] | 0 | beta = log(or)/sd_pgs |
| PPM019279 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64491 [1.41322114, 1.91457258] β: 0.49768 [0.3458716, 0.6494944] |
AUROC: 0.62997 [0.5852728, 0.67466127] | R²: 0.03767 [0.01709617, 0.06692123] | 0 | beta = log(or)/sd_pgs |
| PPM019280 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.87137 [1.77212268, 1.97616972] β: 0.62667 [0.57217808, 0.68116049] |
AUROC: 0.67221 [0.65768122, 0.68674124] | R²: 0.06119 [0.05135518, 0.07301252] | 0 | beta = log(or)/sd_pgs |
| PPM019269 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33762 [1.28129037, 1.39641733] β: 0.29089 [0.24786767, 0.33390991] |
AUROC: 0.57906 [0.5663149, 0.59181474] | R²: 0.0133 [0.00924467, 0.01796079] | 0 | beta = log(or)/sd_pgs |
| PPM019270 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.9368 [1.89343656, 1.98116454] β: 0.66104 [0.63839347, 0.68368483] |
AUROC: 0.67991 [0.67398453, 0.68582889] | R²: 0.06817 [0.06347957, 0.0729841] | 0 | beta = log(or)/sd_pgs |
| PPM019271 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.81277 [1.65895008, 1.98084425] β: 0.59485 [0.50618492, 0.68352314] |
AUROC: 0.67352 [0.64927983, 0.69776871] | R²: 0.0563 [0.04082247, 0.07446669] | 0 | beta = log(or)/sd_pgs |
| PPM019272 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53892 [1.4677344, 1.61355637] β: 0.43108 [0.38371999, 0.47844067] |
AUROC: 0.61754 [0.60401323, 0.63105699] | R²: 0.02925 [0.02268366, 0.03647445] | 0 | beta = log(or)/sd_pgs |
| PPM019273 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.64559 [1.41395937, 1.9151656] β: 0.4981 [0.34639384, 0.6498041] |
AUROC: 0.63172 [0.58645333, 0.67699185] | R²: 0.03776 [0.01691585, 0.06820305] | 0 | beta = log(or)/sd_pgs |
| PPM019274 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.86814 [1.7690958, 1.97272357] β: 0.62494 [0.57046857, 0.67941511] |
AUROC: 0.67174 [0.65719135, 0.68628632] | R²: 0.06087 [0.05110841, 0.07279818] | 0 | beta = log(or)/sd_pgs |
| PPM019221 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.24143 [1.1890805, 1.29609272] β: 0.21627 [0.17318032, 0.25935414] |
AUROC: 0.5594 [0.54677346, 0.57202583] | R²: 0.00733 [0.00469672, 0.0109081] | 0 | beta = log(or)/sd_pgs |
| PPM019222 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.63002 [1.5935273, 1.66734777] β: 0.48859 [0.46594999, 0.5112342] |
AUROC: 0.63362 [0.62744469, 0.6398007] | R²: 0.03693 [0.03355769, 0.04010996] | 0 | beta = log(or)/sd_pgs |
| PPM019223 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.40101 [1.27954934, 1.53399308] β: 0.33719 [0.24650793, 0.42787419] |
AUROC: 0.59819 [0.57207878, 0.62430301] | R²: 0.01724 [0.00885621, 0.02813182] | 0 | beta = log(or)/sd_pgs |
| PPM019224 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.35946 [1.29634357, 1.42565477] β: 0.30709 [0.25954766, 0.35463119] |
AUROC: 0.58383 [0.57020148, 0.59746167] | R²: 0.01467 [0.01061932, 0.01963868] | 0 | beta = log(or)/sd_pgs |
| PPM019225 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.34635 [1.1581509, 1.56512439] β: 0.29739 [0.14682468, 0.4479653] |
AUROC: 0.58604 [0.54086552, 0.63121275] | R²: 0.01358 [0.00269662, 0.03118075] | 0 | beta = log(or)/sd_pgs |
| PPM019226 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.59062 [1.50586312, 1.68013891] β: 0.46412 [0.40936624, 0.51887647] |
AUROC: 0.63057 [0.61590234, 0.64524535] | R²: 0.03306 [0.02613847, 0.04105459] | 0 | beta = log(or)/sd_pgs |
| PPM019227 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.27323 [1.21967118, 1.32913813] β: 0.24156 [0.19858129, 0.28453071] |
AUROC: 0.56331 [0.55078741, 0.57583681] | R²: 0.00919 [0.00605824, 0.01293261] | 0 | beta = log(or)/sd_pgs |
| PPM019228 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.74769 [1.7086833, 1.78757882] β: 0.55829 [0.53572307, 0.58086209] |
AUROC: 0.65206 [0.64593495, 0.65819504] | R²: 0.0487 [0.0447597, 0.05267419] | 0 | beta = log(or)/sd_pgs |
| PPM019229 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.51461 [1.38410957, 1.65740608] β: 0.41516 [0.32505702, 0.50525378] |
AUROC: 0.61455 [0.58868772, 0.64040227] | R²: 0.02651 [0.01531252, 0.04035993] | 0 | beta = log(or)/sd_pgs |
| PPM019230 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | β: 0.32913 [0.28177285, 0.37649644] OR: 1.38976 [1.3254776, 1.45717036] |
AUROC: 0.59091 [0.57724581, 0.60456431] | R²: 0.017 [0.01225794, 0.02225752] | 0 | beta = log(or)/sd_pgs |
| PPM019231 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.49325 [1.28229316, 1.73891334] β: 0.40096 [0.24865001, 0.5532604] |
AUROC: 0.61834 [0.57623728, 0.66044754] | R²: 0.02428 [0.00997456, 0.04475176] | 0 | beta = log(or)/sd_pgs |
| PPM019232 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.68525 [1.59605776, 1.77941882] β: 0.52191 [0.46753669, 0.57628681] |
AUROC: 0.64794 [0.63308648, 0.66280321] | R²: 0.0425 [0.03444371, 0.05202666] | 0 | beta = log(or)/sd_pgs |
| PPM019245 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.33765 [1.28124872, 1.39652797] β: 0.29091 [0.24783517, 0.33398913] |
AUROC: 0.57881 [0.56619924, 0.59141916] | R²: 0.01327 [0.00951776, 0.01750544] | 0 | beta = log(or)/sd_pgs |
| PPM019247 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.8584 [1.69570378, 2.03671362] β: 0.61972 [0.52809786, 0.71133754] |
AUROC: 0.67037 [0.64541857, 0.69532926] | R²: 0.05737 [0.04034006, 0.0772097] | 0 | beta = log(or)/sd_pgs |
| PPM019248 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.53371 [1.46233061, 1.60856652] β: 0.42769 [0.38003147, 0.47534342] |
AUROC: 0.61478 [0.60105563, 0.62849573] | R²: 0.02843 [0.02204494, 0.03592548] | 0 | beta = log(or)/sd_pgs |
| PPM019249 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.68556 [1.44596698, 1.96485528] β: 0.5221 [0.36877829, 0.67541859] |
AUROC: 0.64539 [0.6020922, 0.68868922] | R²: 0.04075 [0.01870039, 0.06894677] | 0 | beta = log(or)/sd_pgs |
| PPM019250 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.91118 [1.80890361, 2.01924795] β: 0.64772 [0.59272092, 0.70272514] |
AUROC: 0.67763 [0.6631321, 0.69213434] | R²: 0.06425 [0.05393186, 0.07625535] | 0 | beta = log(or)/sd_pgs |
| PPM019246 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.982 [1.93724169, 2.02779924] β: 0.68411 [0.66126515, 0.70695109] |
AUROC: 0.68425 [0.67836828, 0.6901266] | R²: 0.0719 [0.06717405, 0.07701924] | 0 | beta = log(or)/sd_pgs |
| PPM019239 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.39728 [1.33826973, 1.45888609] β: 0.33453 [0.29137753, 0.37767319] |
AUROC: 0.58969 [0.57697326, 0.60241476] | R²: 0.0175 [0.01329075, 0.02253449] | 0 | beta = log(or)/sd_pgs |
| PPM019240 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.06398 [2.01727273, 2.11177148] β: 0.72464 [0.70174647, 0.74752716] |
AUROC: 0.69412 [0.68829262, 0.6999508] | R²: 0.08056 [0.07564214, 0.08580241] | 0 | beta = log(or)/sd_pgs |
| PPM019241 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.99477 [1.82406428, 2.18144982] β: 0.69053 [0.60106713, 0.77998971] |
AUROC: 0.69122 [0.66690515, 0.71553225] | R²: 0.07483 [0.05639993, 0.09713374] | 0 | beta = log(or)/sd_pgs |
| PPM019242 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.58122 [1.50767489, 1.65835467] β: 0.4582 [0.41056866, 0.50582595] |
AUROC: 0.62399 [0.61036586, 0.63760464] | R²: 0.03271 [0.02590824, 0.04030889] | 0 | beta = log(or)/sd_pgs |
| PPM019243 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 1.76291 [1.51418004, 2.05249596] β: 0.56697 [0.41487407, 0.7190566] |
AUROC: 0.64947 [0.60535278, 0.6935909] | R²: 0.04891 [0.02333466, 0.08167925] | 0 | beta = log(or)/sd_pgs |
| PPM019244 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Inflammatory bowel disease | OR: 2.04212 [1.93274157, 2.15769853] β: 0.71399 [0.6589395, 0.76904216] |
AUROC: 0.69465 [0.68039548, 0.70890783] | R²: 0.07817 [0.06721383, 0.0918883] | 0 | beta = log(or)/sd_pgs |
| PPM020292 | PGS004240 (PRS89_CRC) |
PSS011326| Multi-ancestry (including European)| 3,809 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer | — | — | Hazard ratio (HR, high vs low PRS tertile): 2.51 [2.04, 3.09] | Age, sex, red meat intake, BMI, family history of CRC, smoking status, alcohol intake, townsend deprivation index, race, education (College or University degree, vocational qualifications, optional national exams at ages 17 to 18 years, national exams at age 16 years, none of the above, unknown), other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020293 | PGS004240 (PRS89_CRC) |
PSS011327| Multi-ancestry (including European)| 125,021 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer | — | — | Hazard ratio (HR, high vs low PRS tertile): 2.48 [2.11, 2.91] | Age, sex, red meat intake, BMI, family history of CRC, smoking status, alcohol intake, townsend deprivation index, race, education (College or University degree, vocational qualifications, optional national exams at ages 17 to 18 years, national exams at age 16 years, none of the above, unknown), other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020294 | PGS004240 (PRS89_CRC) |
PSS011327| Multi-ancestry (including European)| 125,021 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer x Saturated fatty acids interaction | HR: 1.14 [1.11, 1.18] | — | — | Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020295 | PGS004240 (PRS89_CRC) |
PSS011326| Multi-ancestry (including European)| 3,809 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer x Saturated fatty acids interaction | HR: 1.17 [1.12, 1.22] | — | — | Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020296 | PGS004240 (PRS89_CRC) |
PSS011327| Multi-ancestry (including European)| 125,021 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer (with saturated fatty acid and clinical risk factors) | — | AUROC: 0.734 [0.72, 0.749] | — | Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020297 | PGS004240 (PRS89_CRC) |
PSS011326| Multi-ancestry (including European)| 3,809 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer (with saturated fatty acid and clinical risk factors) | — | AUROC: 0.662 [0.64, 0.683] | — | Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020300 | PGS004243 (PRS67_colorectum) |
PSS011328| European Ancestry| 133,830 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Colorectal cancer | HR: 1.49 [1.39, 1.61] | — | — | first 10 genetic principal components | — |
| PPM020309 | PGS004243 (PRS67_colorectum) |
PSS011329| European Ancestry| 115,207 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Colorectal cancer | HR: 1.51 [1.42, 1.61] | — | — | first 10 genetic principal components | — |
| PPM020320 | PGS004253 (uc_ldpred2) |
PSS011334| European Ancestry| 21,335 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Ulcerative colitis | OR: 1.75 [1.59, 1.92] | AUROC: 0.65 [0.62, 0.68] | — | age, sex, 10 PCs | — |
| PPM020319 | PGS004253 (uc_ldpred2) |
PSS011335| European Ancestry| 5,735 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Ulcerative colitis | OR: 1.84 [1.76, 1.93] | AUROC: 0.66 [0.64, 0.68] | — | age at diagnosis/enrollment, sex, genotyping array, 10 PCs | — |
| PPM020321 | PGS004254 (cd_ldpred2) |
PSS011333| European Ancestry| 5,285 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Crohn's disease | OR: 1.83 [1.72, 1.95] | AUROC: 0.72 [0.69, 0.74] | — | age at diagnosis/enrollment, sex, genotyping array, 10 PCs | — |
| PPM020322 | PGS004254 (cd_ldpred2) |
PSS011332| European Ancestry| 22,296 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Crohn's disease | OR: 2.18 [2.05, 2.32] | AUROC: 0.72 [0.7, 0.73] | — | age, sex, 10 PCs | — |
| PPM020338 | PGS004270 (GenoBoost_inflammatory_bowel_disease_0) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.57093 | Covariate-adjusted pseudo-R2: 0.00624 AUPRC: 0.01652 |
age, sex, PC1-10 | — |
| PPM020339 | PGS004271 (GenoBoost_inflammatory_bowel_disease_1) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.57758 | Covariate-adjusted pseudo-R2: 0.00673 AUPRC: 0.01694 |
age, sex, PC1-10 | — |
| PPM020340 | PGS004272 (GenoBoost_inflammatory_bowel_disease_2) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.58326 | Covariate-adjusted pseudo-R2: 0.00796 AUPRC: 0.0168 |
age, sex, PC1-10 | — |
| PPM020341 | PGS004273 (GenoBoost_inflammatory_bowel_disease_3) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.58873 | Covariate-adjusted pseudo-R2: 0.00874 AUPRC: 0.01624 |
age, sex, PC1-10 | — |
| PPM020342 | PGS004274 (GenoBoost_inflammatory_bowel_disease_4) |
PSS011341| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.5879 | Covariate-adjusted pseudo-R2: 0.00872 AUPRC: 0.01705 |
age, sex, PC1-10 | — |
| PPM020368 | PGS004300 (GenoBoost_colorectal_cancer_0) |
PSS011340| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Colorectal cancer | — | AUROC: 0.66861 | Covariate-adjusted pseudo-R2: 0.00382 AUPRC: 0.66861 |
age, sex, PC1-10 | — |
| PPM020369 | PGS004301 (GenoBoost_colorectal_cancer_1) |
PSS011340| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Colorectal cancer | — | AUROC: 0.66747 | Covariate-adjusted pseudo-R2: 0.0036 AUPRC: 0.66747 |
age, sex, PC1-10 | — |
| PPM020370 | PGS004302 (GenoBoost_colorectal_cancer_2) |
PSS011340| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Colorectal cancer | — | AUROC: 0.66658 | Covariate-adjusted pseudo-R2: 0.00253 AUPRC: 0.66658 |
age, sex, PC1-10 | — |
| PPM020371 | PGS004303 (GenoBoost_colorectal_cancer_3) |
PSS011340| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Colorectal cancer | — | AUROC: 0.66945 | Covariate-adjusted pseudo-R2: 0.00423 AUPRC: 0.66945 |
age, sex, PC1-10 | — |
| PPM020372 | PGS004304 (GenoBoost_colorectal_cancer_4) |
PSS011340| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Colorectal cancer | — | AUROC: 0.66807 | Covariate-adjusted pseudo-R2: 0.00325 AUPRC: 0.66807 |
age, sex, PC1-10 | — |
| PPM020560 | PGS004445 (disease.D12.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: D12 (Benign neoplasm of colon, rectum, anus and anal canal) | OR: 1.19821 | — | — | — | — |
| PPM020589 | PGS004474 (disease.K57.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K57 (Diverticular disease of intestine) | OR: 1.3125 | — | — | — | — |
| PPM020590 | PGS004475 (disease.K59.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K59 (Other functional intestinal disorders) | OR: 1.06814 | — | — | — | — |
| PPM020630 | PGS004515 (meta.D12.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: D12 (Benign neoplasm of colon, rectum, anus and anal canal) | OR: 1.20806 | — | — | — | — |
| PPM020659 | PGS004544 (meta.K57.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K57 (Diverticular disease of intestine) | OR: 1.32103 | — | — | — | — |
| PPM020660 | PGS004545 (meta.K59.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K59 (Other functional intestinal disorders) | OR: 1.11541 | — | — | — | — |
| PPM020695 | PGS004580 (CRC_PRSCS) |
PSS011366| European Ancestry| 342,499 individuals |
PGP000562 | Youssef O et al. Lab Invest (2024) |
Reported Trait: Colorectal cancer | OR: 1.5 [1.46, 1.55] | — | — | — | — |
| PPM020702 | PGS004586 (PPS_CRC) |
PSS011374| East Asian Ancestry| 543 individuals |
PGP000564 | Xin J et al. Nat Commun (2024) |
Reported Trait: Overall survival of colorectal cancer | HR: 1.9 [1.61, 2.24] | AUROC: 0.649 | — | sex, age, smoking status, drinking status and top 10 principal components | — |
| PPM020701 | PGS004586 (PPS_CRC) |
PSS011373| European Ancestry| 470 individuals |
PGP000564 | Xin J et al. Nat Commun (2024) |
Reported Trait: Overall survival of colorectal cancer | HR: 1.99 [1.57, 2.52] | AUROC: 0.652 | — | sex, age, stage and top 10 principal components | — |
| PPM020703 | PGS004586 (PPS_CRC) |
PSS011372| European Ancestry| 713 individuals |
PGP000564 | Xin J et al. Nat Commun (2024) |
Reported Trait: Overall survival of colorectal cancer | HR: 1.8 [1.49, 2.17] | AUROC: 0.658 | — | sex, age, smoking status, drinking status, research center, arm, stage, grade and top 10 principal components | — |
| PPM020789 | PGS004614 (DivD_SNPWeights) |
PSS011413| European Ancestry| 7,696 individuals |
PGP000592 | Wu Y et al. Cell Genom (2023) |
Reported Trait: Diverticular disease | — | AUROC: 0.76 [0.721, 0.8] | — | family history, age, and sex | — |
| PPM020790 | PGS004614 (DivD_SNPWeights) |
PSS011415| South Asian Ancestry| 11,896 individuals |
PGP000592 | Wu Y et al. Cell Genom (2023) |
Reported Trait: Diverticular disease | — | AUROC: 0.638 [0.612, 0.658] | — | — | — |
| PPM020791 | PGS004614 (DivD_SNPWeights) |
PSS011414| African Ancestry| 9,175 individuals |
PGP000592 | Wu Y et al. Cell Genom (2023) |
Reported Trait: Diverticular disease | — | AUROC: 0.587 [0.563, 0.611] | — | — | — |
| PPM020874 | PGS004689 (colorectal_cancer) |
PSS011433| European Ancestry| 40,648 individuals |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Reported Trait: Colorectal cancer | — | AUROC: 0.556 | — | — | — |
| PPM021188 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011551| European Ancestry| 38,191 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.04 [0.96, 1.14] | C-index: 0.58 [0.55, 0.61] | — | PCs 1-10 | — |
| PPM021189 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011550| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.07 [1.02, 1.12] | C-index: 0.54 [0.53, 0.56] | — | PCs 1-10 | — |
| PPM021190 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011549| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.1 [1.01, 1.19] | C-index: 0.56 [0.53, 0.58] | — | PCs 1-10 | — |
| PPM021191 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011547| European Ancestry| 44,188 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.06 [0.97, 1.16] | — | — | PCs 1-10 | — |
| PPM021192 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011548| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.1 [1.01, 1.2] | C-index: 0.57 [0.54, 0.59] | — | PCs 1-10 | — |
| PPM021193 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011546| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.07 [1.06, 1.08] | C-index: 0.53 [0.52, 0.53] | — | PCs 1-10 | — |
| PPM021194 | PGS004876 (INTERVENE_MegaPRS_Appendicitis) |
PSS011545| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Appendicitis | HR: 1.05 [1.03, 1.07] | C-index: 0.54 [0.53, 0.54] | — | PCs 1-10 | — |
| PPM021216 | PGS004880 (INTERVENE_MegaPRS_Colorectal_cancer) |
PSS011566| European Ancestry| 38,448 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Colorectal Cancer | HR: 1.28 [1.21, 1.35] | C-index: 0.57 [0.56, 0.59] | — | PCs 1-10 | — |
| PPM021217 | PGS004880 (INTERVENE_MegaPRS_Colorectal_cancer) |
PSS011565| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Colorectal Cancer | HR: 1.34 [1.27, 1.41] | C-index: 0.58 [0.57, 0.6] | — | PCs 1-10 | — |
| PPM021218 | PGS004880 (INTERVENE_MegaPRS_Colorectal_cancer) |
PSS011564| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Colorectal Cancer | HR: 1.44 [1.38, 1.5] | C-index: 0.6 [0.59, 0.62] | — | PCs 1-10 | — |
| PPM021220 | PGS004880 (INTERVENE_MegaPRS_Colorectal_cancer) |
PSS011563| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Colorectal Cancer | HR: 1.59 [1.41, 1.79] | C-index: 0.64 [0.61, 0.68] | — | PCs 1-10 | — |
| PPM021221 | PGS004880 (INTERVENE_MegaPRS_Colorectal_cancer) |
PSS011561| European Ancestry| 407,920 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Colorectal Cancer | HR: 1.54 [1.5, 1.58] | C-index: 0.62 [0.61, 0.63] | — | PCs 1-10 | — |
| PPM021222 | PGS004880 (INTERVENE_MegaPRS_Colorectal_cancer) |
PSS011560| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Colorectal Cancer | HR: 1.44 [1.37, 1.51] | C-index: 0.61 [0.59, 0.63] | — | PCs 1-10 | — |
| PPM021219 | PGS004880 (INTERVENE_MegaPRS_Colorectal_cancer) |
PSS011562| European Ancestry| 44,186 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident Colorectal Cancer | HR: 1.37 [1.12, 1.68] | — | — | PCs 1-10 | — |
| PPM021341 | PGS004904 (PRS127_CRC) |
PSS011697| European Ancestry| 113,256 individuals |
PGP000636 | Jiang F et al. Int J Cancer (2023) |
Reported Trait: Incident and prevelant early-onset colorectal cancer | OR: 2.29 [1.98, 2.64] | — | — | Age, sex, education, family history, type 1 diabetes, 5 PCs | — |
| PPM021342 | PGS004904 (PRS127_CRC) |
PSS011697| European Ancestry| 113,256 individuals |
PGP000636 | Jiang F et al. Int J Cancer (2023) |
Reported Trait: Incident early-onset colorectal cancer | OR: 2.51 [1.77, 3.56] | — | — | Age, sex, education, family history, type 1 diabetes, 5 PCs | — |
| PPM021343 | PGS004904 (PRS127_CRC) |
PSS011697| European Ancestry| 113,256 individuals |
PGP000636 | Jiang F et al. Int J Cancer (2023) |
Reported Trait: Incident and prevelant early-onset colorectal adenoma | OR: 1.59 [1.48, 1.71] | — | — | Age, sex, education, family history, type 1 diabetes, 5 PCs | — |
| PPM021344 | PGS004904 (PRS127_CRC) |
PSS011697| European Ancestry| 113,256 individuals |
PGP000636 | Jiang F et al. Int J Cancer (2023) |
Reported Trait: Incident early-onset colorectal adenoma | OR: 1.57 [1.39, 1.77] | — | — | Age, sex, education, family history, type 1 diabetes, 5 PCs | — |
| PPM021368 | PGS004912 (PRS183) |
PSS011706| East Asian Ancestry| 2,344 individuals |
PGP000643 | Tian J et al. Genome Med (2024) |
Reported Trait: Colorectal advanced neoplasm | OR: 1.61 [1.33, 1.94] | AUROC: 0.591 | — | age, sex, family history, principal components, genotype platform | — |
| PPM021369 | PGS004912 (PRS183) |
PSS011706| East Asian Ancestry| 2,344 individuals |
PGP000643 | Tian J et al. Genome Med (2024) |
Reported Trait: Colorectal non-advanced adenoma | OR: 1.25 [1.14, 1.38] | AUROC: 0.556 | — | age, sex, family history, principal components, genotype platform | — |
| PPM021370 | PGS004912 (PRS183) |
PSS011705| European Ancestry| 24,322 individuals |
PGP000643 | Tian J et al. Genome Med (2024) |
Reported Trait: Colorectal advanced neoplasm | OR: 1.34 [1.28, 1.4] | AUROC: 0.582 | — | age, sex, family history, principal components, genotype platform | — |
| PPM021371 | PGS004912 (PRS183) |
PSS011705| European Ancestry| 24,322 individuals |
PGP000643 | Tian J et al. Genome Med (2024) |
Reported Trait: Colorectal non-advanced adenoma | OR: 1.19 [1.15, 1.23] | AUROC: 0.546 | — | age, sex, family history, principal components, genotype platform | — |
| PPM021718 | PGS004930 (celiac_disease_snpnet_combined) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Reported Trait: Celiac disease | OR: 1.52 [1.35, 1.71] | AUROC: 0.67 | — | — | — |
| PPM021752 | PGS004945 (PRS87_CRC) |
PSS011779| European Ancestry| 306,857 individuals |
PGP000671 | Gao P et al. Int J Cancer (2023) |
Reported Trait: Incident colorectal cancer | — | — | Hazard ratio (HR, top vs bottom PGS tertile): 2.35 [2.11, 2.6] | Age, sex, ethnic, college or university degree, Townsend deprivation index, alcohol drinking, smoking status, BMI, protein diet, regular physical activity, sleep duration, hyperlipidemia, hypertension, T2D, triglycerides, total cholesterol, glucose, eGFR, genotyping array, 10 PCs | — |
|
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 | — |
| PSS011697 | — | — | 113,256 individuals | — | European | — | 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) |
| PSS011433 | — | — | [
|
— | European | — | UKB | — |
| 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 | — |
| PSS011444 | Participants were classified according to the most advanced finding at colonoscopy (CRC, AA, non-advanced adenoma, other or none of above). Fecal hemoglobin concentrations were measured using Ridascreen Haemoglobin which is based on an enzyme immunoassay (participants recruited until December 2008), and FOB Gold which is based on a latex agglutination assay (participants recruited from December 2008 on). In both groups of participants, fully automated FIT analyses were conducted, blinded with respect to colonoscopy results, using Tecan Freedom Evolyzer (Ridascreen Haemoglobin) and Abbott Architect c8000 (FOB Gold), respectively. | — | [ ,
51.4 % Male samples |
Mean = 61.8 years | European, Not reported | — | BLITZ | — |
| PSS011445 | Participants were classified according to the most advanced finding at colonoscopy (CRC, AA, non-advanced adenoma, other or none of above). Fecal hemoglobin concentrations were measured using Ridascreen Haemoglobin which is based on an enzyme immunoassay (participants recruited until December 2008), and FOB Gold which is based on a latex agglutination assay (participants recruited from December 2008 on). In both groups of participants, fully automated FIT analyses were conducted, blinded with respect to colonoscopy results, using Tecan Freedom Evolyzer (Ridascreen Haemoglobin) and Abbott Architect c8000 (FOB Gold), respectively. | — | [ ,
53.5 % Male samples |
Mean = 63.1 years | European, Not reported | — | BLITZ | — |
| PSS011705 | — | — | [ ,
55.6 % Male samples |
Mean = 62.07 years Sd = 5.21 years |
European | — | PLCO | — |
| PSS011706 | — | — | [ ,
46.72 % Male samples |
Mean = 57.59 years Sd = 8.47 years |
East Asian (Chinese) |
— | ZJCRC | — |
| 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 | — |
| PSS011220 | — | — | [
|
— | European | — | EB | — |
| PSS011231 | K11_IBD_STRICT, ICD10: K50|K51, ICD9: 555|556 | — | [
|
— | European | — | FinnGen | — |
| PSS009390 | — | — | 7,142 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011244 | — | — | [
|
— | South Asian | — | G&H | — |
| 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 | — |
| PSS011260 | — | — | [
|
— | European | — | HUNT | — |
| PSS011545 | — | — | [
|
— | European | — | EB | — |
| PSS011546 | — | — | [
|
— | European | — | FinnGen | — |
| PSS009281 | — | — | 19,812 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011547 | — | — | [
|
— | European | — | G&H | — |
| PSS011273 | — | — | [
|
— | European | — | UKB | — |
| PSS011548 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS009918 | — | — | 5,306 individuals, 51.9 % Male samples |
Mean = 62.1 years | European | — | BLITZ | — |
| PSS008270 | — | — | 908 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011549 | — | — | [
|
— | European | — | GEL | — |
| PSS011288 | — | — | [
|
— | South Asian | — | 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 | — |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| 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 | — |
| PSS011326 | — | — | [ ,
56.4 % Male samples |
Mean = 60.9 years Sd = 6.15 years |
European, Asian unspecified, African unspecified, East Asian, Not reported | European (>97%), Asian unspecified, African unspecified, East Asian, Not reported | UKB | — |
| PSS011327 | — | — | [ ,
44.9 % Male samples |
Mean = 54.9 years Sd = 7.9 years |
European, Asian unspecified, African unspecified, East Asian, Not reported | European (>95%), Asian unspecified, African unspecified, East Asian, Not reported | UKB | — |
| 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
|
— |
| PSS011328 | — | — | 133,830 individuals, 0.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011329 | — | — | 115,207 individuals, 100.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011779 | — | — | 306,857 individuals | — | European | — | UKB | — |
| PSS011332 | — | — | [
|
— | European | — | BioVU | — |
| PSS009566 | — | — | [
|
Maximum = 50.0 years | European | — | 9 cohorts
|
CRCGEN, Kentucky, LCCS |
| PSS011334 | — | — | [
|
— | European | — | BioVU | — |
| PSS011335 | — | — | [
|
— | European | — | UKB | — |
| 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 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004445 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004446 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011333 | — | — | [
|
— | European | — | UKB | — |
| PSS008718 | — | — | 2,442 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008938 | — | — | 526 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008429 | — | — | 1,076 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS001031 | Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. | — | [ ,
51.39 % Male samples |
— | East Asian (Han-Chinese) |
— | NR | Subects obtained from First Hospital of China Medical University (CMU) |
| PSS001032 | Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. | — | [ ,
53.86 % Male samples |
— | East Asian (Han-Chinese) |
— | NR | Subjects obtained from Fudan University Shanghai Cancer Center (FUSCC) |
| PSS001033 | Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. | — | [ ,
53.72 % Male samples |
— | East Asian (Han-Chinese) |
— | NR | Subjects obtained from Sun Yat-Sen University Cancer Center (SYSUCC) |
| PSS008430 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008432 | — | — | 1,007 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008433 | — | — | 998 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008436 | — | — | 1,135 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011341 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS011340 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS009971 | — | — | 30,716 individuals | — | European | — | MGBB | — |
| PSS009971 | — | — | 1,807 individuals | — | African unspecified (Black) |
— | MGBB | — |
| PSS009971 | — | — | 786 individuals | — | Asian unspecified | — | MGBB | — |
| PSS009971 | — | — | 3,113 individuals | — | Other | — | MGBB | — |
| PSS010129 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
Median = 58.0 years | Other, NR | All ancestral backgrounds within UKB | UKB | Cohort for integrated model development in men |
| PSS010130 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European (British) |
— | UKB | Cohort for logistic regression model testing |
| PSS010131 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European (British) |
— | UKB | Cohort for logistic regression model testing |
| PSS010132 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European | Scottish UKB participants self-identifying as "British", "Irish", "white" or "any other white background|" | UKB | Cohort for logistic regression model validation (European populations) |
| PSS010133 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
— | European | Scottish UKB participants self-identifying as "British", "Irish", "white" or "any other white background|" | UKB | Cohort for cox regression model validation (European populations) |
| PSS000260 | — | — | [ ,
0.0 % Male samples |
Mean (Cases) = 68.8 years Sd (Cases) = 9.7 years |
European | — | 14 cohorts
|
— |
| PSS000261 | — | — | [ ,
100.0 % Male samples |
Mean (Cases) = 67.8 years Sd (Cases) = 9.7 years |
European | — | 14 cohorts
|
— |
| PSS000262 | Excluding participants with prevalent cancer at recruitment colorectal cancer was defined as ICD codes: C18 (except C18.1, Appendix), C19 and C20 | — | [ ,
45.0 % Male samples |
Mean = 57.0 years IQR = [50.0, 63.0] years |
European | — | UKB | Follow-up time = 1,751,445 person years |
| PSS000263 | Excluding participants with prevalent cancer at recruitment colorectal cancer was defined as ICD codes: C18 (except C18.1, Appendix), C19 and C20 | — | [ ,
46.0 % Male samples |
Mean = 57.0 years IQR = [50.0, 63.0] years |
European | — | UKB | Follow-up time = 1,388,191 person years |
| PSS007942 | — | — | 1,719 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010134 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | Other, NR | Scottish UKB participants self-identifying as diverse ethnic groups other than "British", "Irish", "white" or "any other white background|" | UKB | Cohort for logistic regression model validation (minority ethnic population) |
| PSS010135 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
— | Other, NR | Scottish UKB participants self-identifying as diverse ethnic groups other than "British", "Irish", "white" or "any other white background|" | UKB | Cohort for cox regression model validation (minority ethnic population) |
| PSS011551 | — | — | [
|
— | European | — | MGBB | — |
| PSS011018 | — | — | [
|
— | European | — | UKB | — |
| PSS011550 | — | — | [
|
— | European | — | HUNT | — |
| PSS007950 | — | — | 1,800 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011560 | — | — | [
|
— | European | — | EB | — |
| PSS010138 | — | — | 66,282 individuals, 42.3 % Male samples |
Median = 63.0 years | European | — | GERA | — |
| PSS011018 | — | — | [
|
— | European, African American or Afro-Caribbean, African unspecified, Asian unspecified, NR | European and African Caribbean, European and Black African, European and Asian, NR | UKB | — |
| PSS011563 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011564 | — | — | [
|
— | European | — | GEL | — |
| PSS011565 | — | — | [
|
— | European | — | HUNT | — |
| PSS011566 | — | — | [
|
— | European | — | MGBB | — |
| PSS010144 | — | — | [
|
— | European | — | UKB | — |
| PSS011018 | — | — | [
|
— | Asian unspecified | — | UKB | — |
| PSS011561 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011562 | — | — | [
|
— | European | — | G&H | — |
| PSS011018 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS011018 | — | — | [
|
— | Not reported | — | UKB | — |
| PSS011366 | — | — | [ ,
44.0 % Male samples |
— | European (Finnish) |
— | FinnGen | — |
| PSS008492 | — | — | 208 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011372 | — | — | 713 individuals | — | European | — | PLCO | — |
| PSS011373 | — | — | 470 individuals | — | European | — | TCGA | — |
| PSS011374 | — | — | 543 individuals | — | East Asian (Chinese) |
— | NCRCC | ZJCRC |
| PSS007991 | — | — | 1,684 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007992 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007994 | — | — | 1,630 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007997 | — | — | 1,770 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS000268 | Unselected participants of the German screening colonoscopy program are recruited by gastroenterology practices in southern Germany in this multicenter study.Colonoscopy and histology reports are collected and information from these reports is extracted independently in a standardized way by two trained investigators, who are blinded with respect to questionnaire and genotype data and who resolve discrepancies by consensus after further review and discussion. Based on colonoscopy reports, participants are categorized with respect to the most advanced lesion: CRC, advanced adenoma (AA), non-advanced adenoma (NAA), hyperplastic polyp, or undefined polyp. Advanced adenomas are defined as adenomas ≥1 cm or adenomas with cellular or structural atypia. | — | [ ,
61.74 % Male samples |
Range = [50.0, 79.0] years | European | — | BLITZ | — |
| PSS000269 | Unselected participants of the German screening colonoscopy program are recruited by gastroenterology practices in southern Germany in this multicenter study.Colonoscopy and histology reports are collected and information from these reports is extracted independently in a standardized way by two trained investigators, who are blinded with respect to questionnaire and genotype data and who resolve discrepancies by consensus after further review and discussion. Based on colonoscopy reports, participants are categorized with respect to the most advanced lesion: CRC, advanced adenoma (AA), non-advanced adenoma (NAA), hyperplastic polyp, or undefined polyp. Advanced adenomas are defined as adenomas ≥1 cm or adenomas with cellular or structural atypia. | — | [ ,
60.48 % Male samples |
Range = [50.0, 79.0] years | European | — | BLITZ | — |
| PSS000271 | — | — | [ ,
40.85 % Male samples |
Mean (Cases) = 58.34 years Sd (Cases) = 12.85 years |
East Asian (Han Chinese) |
— | NCRCC | — |
| PSS011386 | — | — | 3,025 individuals | — | Not reported | — | BLITZ | — |
| PSS010988 | — | — | 470 individuals | Mean = 67.3 years | European | — | TCGA | — |
| PSS009046 | — | — | 3,922 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011211 | Colorectal cancer cases were identified through the Finnish Cancer Registry with International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) codes C18-C20 and from the death registry with ICD-10 codes C18-C20, or ICD-9 codes of 153, 1540 and 154, or ICD-8 codes of 153, 1540 and 1541. | Median = 4.1 years | [ ,
43.9 % Male samples |
Mean = 52.9 years Sd = 18.0 years |
European (Finnish) |
— | FinnGen | — |
| PSS011413 | — | — | [ ,
43.0 % Male samples |
— | European | — | CARTaGENE | — |
| PSS011414 | — | — | [ ,
42.0 % Male samples |
— | African unspecified | — | UKB | — |
| PSS009055 | — | — | 4,121 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011415 | — | — | [ ,
53.0 % Male samples |
— | South Asian | — | UKB | — |
| PSS011399 | — | — | [
|
— | European | — | ICO, UKBonn | — |
| PSS000895 | Participants were 50 years of age or older with no family history of colorectal cancer. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. | — | [
|
Range = [50.0, 100.0] years | European | — | RPGEH | — |
| PSS000896 | Participants were under 50 years of age with no family history of colorectal cancer. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. | — | [
|
Range = [0.0, 50.0] years | European | — | RPGEH | — |
| PSS011409 | Cases were individuals with familial/early-onset mismatch repair (MMR)-proficient unrelated colorectal cancer (CRC). Cases fulfilled either the Amsterdam I/ Amsterdam II criteria or the Bethesda guidelines for hereditary nonpolyposis CRC. For the Amsterdam I criteria, individuals had to fulfil the following: have at least three relatives affected with CRC, have at least two successive generations are affected, have at least one person diagnosed before the age of 50 years, have familial adenomatous polyposis excluded and have tumors verified by pathologic examination. For the Amsterdam II criteria, individuals had to fulfil the following: have at least three relatives with an HNPCC-associated cancer (large bowel, endometrium, small bowel, ureter, or renal pelvis, though not including stomach, ovary, brain, bladder, or skin), have one affected person who is a first-degree relative of the other two, have at least two successive generations affected, have at least one person diagnosed before the age of 50 years, have familial adenomatous polyposis excluded and tumors verified by pathologic examination. For the Bethesda guidelines for hereditary nonpolyposis CRC criteria, inidividuals had to fulfil at least one of the following: CRC < age 50 years, synchronous or metachronous colorectal or other HNPCC-associated tumors regardless of age, CRC with microsatellite instability-positive morphology < age 60 years, CRC with one or more first-degree relatives with CRC or other HNPCC-related tumor, with one of the cancers < age 50 years or CRC with two or more first- or second-degree relatives with CRC or other hereditary nonpolyposis colon cancer-related tumor (endometrial, stomach, ovarian, cervical, esophageal, leukemia, thyroid, bladder, ureter and renal pelvis, biliary tract, small bowel, breast, pancreas, liver, larynx, bronchus, lung, and brain (glioblastoma), sebaceous gland adenomas, and keratoacanthomas), regardless of age. | — | [ ,
51.97 % Male samples |
— | European | — | CRCGEN | Cases were obtained from the Hereditary Cancer Program of the Catalan Institute of Oncology |
| PSS011410 | Cases were individuals with sporadic colorectal cancer (CRC). | — | [ ,
56.53 % Male samples |
— | European | — | CRCGEN | — |
| PSS000381 | Control subjects (n = 40) were paediatric general gastroenterology patients whom were negative for coeliac disease by both intestinal biopsy and negative tissue transglutaminase serology. | — | [ ,
48.0 % Male samples |
Mean = 4.9 years Sd = 4.0 years |
NR | — | STOLLERY_CC | — |
| PSS000381 | Diagnosis of coeliac disease was made by a modification of European serological diagnostic guidelines for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis | — | [ ,
63.0 % Male samples |
Mean = 8.6 years Sd = 3.9 years |
NR | — | STOLLERY_CC | — |
| PSS000381 | Diagnosis of coeliac disease was made by endoscopy for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis | — | [ ,
57.0 % Male samples |
Mean = 7.5 years Sd = 3.8 years |
NR | — | STOLLERY_CC | — |
| PSS000382 | Coeliac disease cases were identified using either hospital admission code and/or self‐reported coeliac disease. | — | [
|
— | European | — | UKB | — |
| PSS004094 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004095 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004099 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004100 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004101 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004102 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004103 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004096 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004097 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004098 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007664 | Cases were individuals with (incident) invasive colorectal cancer diagnosed after a baseline assessment. Colorectal cancer was identified using linkedc cancer registry data using ICD-9 (1530–1539, 1540–1541), ICD-10 (C18–C20) codes or self-reported disease). | — | [ ,
45.85 % Male samples |
— | European | — | UKB | — |
| PSS009101 | — | — | 3,868 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009102 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009104 | — | — | 3,520 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000274 | Primary tumor samples from TCGA | — | [
|
Mean = 68.0 years Sd = 13.0 years |
European | — | TCGA | — |
| PSS000274 | — | — | [
|
— | European | — | eMERGE | — |
| PSS008600 | — | — | 6,241 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS004114 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004115 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004116 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004117 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004118 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011020 | ICD-10: C18.X or C20.X, D01.[0,1,2], D37.[4, 5] | — | [
|
— | European, Not reported | — | UKB | — |
| PSS000981 | Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. | — | [
|
— | European | — | UKB | — |
| PSS000981 | Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. | — | [
|
— | African unspecified | — | UKB | — |
| PSS000981 | Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. | — | [
|
— | Asian unspecified | — | UKB | — |
| PSS000981 | Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. | — | [
|
— | Not reported | — | UKB | — |
| PSS004124 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004125 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004126 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004127 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004128 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004120 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004121 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004122 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004123 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004129 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004130 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004131 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004132 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004133 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS000113 | Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 21041 - 21049, 21051, 21052, and 21060 | — | [ ,
46.0 % Male samples |
Mean = 58.0 years | European | — | GERA, UKB | — |