| Trait Information | |
| Identifier | MONDO_0002423 |
| Description | A benign or malignant neoplasm that affects the rectosigmoid region. Representative examples of benign neoplasms include lipoma and leiomyoma. Representative examples of malignant neoplasms include carcinoma, lymphoma, and sarcoma. Rectosigmoid adenomas always exhibit epithelial dysplasia and are considered premalignant neoplasms. [NCIT: C4877] | Trait category |
Other trait
|
| Synonyms |
12 synonyms
|
| Mapped terms |
5 mapped terms
|
| 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) |
|---|---|---|---|---|---|---|
| PGS000383 (PRSWEB_PHECODE153.3_C19_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of rectum, rectosigmoid junction, and anus | rectosigmoid junction neoplasm, rectal cancer |
1,078,799 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000383/ScoringFiles/PGS000383.txt.gz | |
| PGS000384 (PRSWEB_PHECODE153.3_C3-RECTUM_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of rectum, rectosigmoid junction, and anus | rectosigmoid junction neoplasm, rectal cancer |
1,104,018 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000384/ScoringFiles/PGS000384.txt.gz | |
| PGS018495 (TPMI_153.3_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Malignant neoplasm of rectum rectosigmoid junction and anus | rectosigmoid junction neoplasm | 133,830 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018495/ScoringFiles/PGS018495.txt.gz | |
| PGS018496 (TPMI_153.3_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Malignant neoplasm of rectum rectosigmoid junction and anus | rectosigmoid junction neoplasm | 939,895 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018496/ScoringFiles/PGS018496.txt.gz | |
| PGS018497 (TPMI_153.3_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Malignant neoplasm of rectum rectosigmoid junction and anus | rectosigmoid junction neoplasm | 21,604 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018497/ScoringFiles/PGS018497.txt.gz | |
| PGS018498 (TPMI_153.3_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Malignant neoplasm of rectum rectosigmoid junction and anus | rectosigmoid junction neoplasm | 983,831 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018498/ScoringFiles/PGS018498.txt.gz | |
| PGS018499 (TPMI_153.3_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Malignant neoplasm of rectum rectosigmoid junction and anus | rectosigmoid junction neoplasm | 1,000,378 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018499/ScoringFiles/PGS018499.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 |
|---|---|---|---|---|---|---|---|---|---|
| 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 |
| PPM036677 | PGS018495 (TPMI_153.3_Lassosum2) |
PSS012393| East Asian Ancestry| 16,918 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Malignant neoplasm of rectum rectosigmoid junction and anus | — | AUROC: 0.64845 | R²: 0.01445 | sex, age, array, PCs 1-10 | — |
| PPM036678 | PGS018496 (TPMI_153.3_LDpred2) |
PSS012392| East Asian Ancestry| 16,918 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Malignant neoplasm of rectum rectosigmoid junction and anus | — | AUROC: 0.64998 | R²: 0.01477 | sex, age, array, PCs 1-10 | — |
| PPM036679 | PGS018497 (TPMI_153.3_MegaPRS) |
PSS012394| East Asian Ancestry| 16,918 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Malignant neoplasm of rectum rectosigmoid junction and anus | — | AUROC: 0.6481 | R²: 0.01452 | sex, age, array, PCs 1-10 | — |
| PPM036680 | PGS018498 (TPMI_153.3_PRS-CS) |
PSS012395| East Asian Ancestry| 16,918 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Malignant neoplasm of rectum rectosigmoid junction and anus | — | AUROC: 0.64899 | R²: 0.01469 | sex, age, array, PCs 1-10 | — |
| PPM036681 | PGS018499 (TPMI_153.3_SBayesR) |
PSS012396| East Asian Ancestry| 16,918 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Malignant neoplasm of rectum rectosigmoid junction and anus | — | AUROC: 0.64811 | R²: 0.01447 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012392 | 154, 209.17, 230.4, 230.5, 230.6, 796.7, V10.06,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, Z85.04 | — | [ ,
44.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012393 | 154, 209.17, 230.4, 230.5, 230.6, 796.7, V10.06,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, Z85.04 | — | [ ,
44.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012394 | 154, 209.17, 230.4, 230.5, 230.6, 796.7, V10.06,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, Z85.04 | — | [ ,
44.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012395 | 154, 209.17, 230.4, 230.5, 230.6, 796.7, V10.06,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, Z85.04 | — | [ ,
44.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012396 | 154, 209.17, 230.4, 230.5, 230.6, 796.7, V10.06,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, Z85.04 | — | [ ,
44.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| 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 | — |