| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0005127 |
| Description | cancer biomarkers, such as cancer antigen 19-9, carcinoembryonic antigen and α fetoprotein, are used as indicators for cancer screening and as predictors for therapeutic responses and prognoses in cancer patient | Trait category |
Other measurement
|
| Child trait(s) | IGF-1 measurement |
| 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) |
|---|---|---|---|---|---|---|
| PGS000687 (snpnet.IGF_1) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
IGF-1 [nmol/L] | IGF-1 measurement | 23,443 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000687/ScoringFiles/PGS000687.txt.gz |
| PGS001960 (portability-PLR_log_IGF1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
IGF-1 | IGF-1 measurement | 87,149 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001960/ScoringFiles/PGS001960.txt.gz |
| PGS002178 (portability-ldpred2_log_IGF1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
IGF-1 | IGF-1 measurement | 817,740 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002178/ScoringFiles/PGS002178.txt.gz |
| PGS003539 (cont-decay-log_IGF1) |
PGP000457 | Ding Y et al. Nature (2023) |
IGF-1 | IGF-1 measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003539/ScoringFiles/PGS003539.txt.gz |
| PGS004338 (X30770.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
IGF-1 (nmol/L) | IGF-1 measurement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004338/ScoringFiles/PGS004338.txt.gz |
| PGS019768 (TPMI_795.8_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Abnormal tumor markers | cancer biomarker measurement | 141 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019768/ScoringFiles/PGS019768.txt.gz | |
| PGS019769 (TPMI_795.8_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Abnormal tumor markers | cancer biomarker measurement | 939,841 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019769/ScoringFiles/PGS019769.txt.gz | |
| PGS019770 (TPMI_795.8_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Abnormal tumor markers | cancer biomarker measurement | 24,096 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019770/ScoringFiles/PGS019770.txt.gz | |
| PGS019771 (TPMI_795.8_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Abnormal tumor markers | cancer biomarker measurement | 983,789 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019771/ScoringFiles/PGS019771.txt.gz | |
| PGS019772 (TPMI_795.8_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Abnormal tumor markers | cancer biomarker measurement | 998,333 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019772/ScoringFiles/PGS019772.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM001415 | PGS000687 (snpnet.IGF_1) |
PSS000709| African Ancestry| 5,974 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.11454 Spearman's ρ: 0.182 |
Age, sex, PCs(1-40) | — |
| PPM001450 | PGS000687 (snpnet.IGF_1) |
PSS000710| East Asian Ancestry| 1,074 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.17702 Spearman's ρ: 0.258 |
Age, sex, PCs(1-40) | — |
| PPM001485 | PGS000687 (snpnet.IGF_1) |
PSS000711| European Ancestry| 23,453 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.22328 Spearman's ρ: 0.362 |
Age, sex, PCs(1-40) | — |
| PPM001520 | PGS000687 (snpnet.IGF_1) |
PSS000712| South Asian Ancestry| 7,283 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.20212 Spearman's ρ: 0.313 |
Age, sex, PCs(1-40) | — |
| PPM001555 | PGS000687 (snpnet.IGF_1) |
PSS000713| European Ancestry| 63,393 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.20434 Spearman's ρ: 0.369 |
Age, sex, PCs(1-40) | — |
| PPM007360 | PGS000687 (snpnet.IGF_1) |
PSS007166| African Ancestry| 6,058 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.08755 [0.07443, 0.10068] Incremental R2 (full-covars): 0.00429 PGS R2 (no covariates): 0.03282 [0.0243, 0.04133] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007361 | PGS000687 (snpnet.IGF_1) |
PSS007167| East Asian Ancestry| 1,609 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.14261 [0.11193, 0.1733] Incremental R2 (full-covars): 0.00641 PGS R2 (no covariates): 0.06187 [0.03976, 0.08399] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007362 | PGS000687 (snpnet.IGF_1) |
PSS007168| European Ancestry| 23,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.10834 [0.10105, 0.11562] Incremental R2 (full-covars): 0.01189 PGS R2 (no covariates): 0.12448 [0.11681, 0.13216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007363 | PGS000687 (snpnet.IGF_1) |
PSS007169| South Asian Ancestry| 7,373 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.11511 [0.10181, 0.1284] Incremental R2 (full-covars): 0.00941 PGS R2 (no covariates): 0.08722 [0.07528, 0.09915] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007364 | PGS000687 (snpnet.IGF_1) |
PSS007170| European Ancestry| 64,106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.07984 [0.07592, 0.08377] Incremental R2 (full-covars): 0.01227 PGS R2 (no covariates): 0.12763 [0.12293, 0.13233] |
age, sex, UKB array type, Genotype PCs | — |
| PPM010555 | PGS001960 (portability-PLR_log_IGF1) |
PSS009435| European Ancestry| 18,901 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3977 [0.3856, 0.4096] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010556 | PGS001960 (portability-PLR_log_IGF1) |
PSS009209| European Ancestry| 3,935 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3641 [0.3366, 0.391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010557 | PGS001960 (portability-PLR_log_IGF1) |
PSS008763| European Ancestry| 6,290 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3719 [0.3503, 0.393] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010558 | PGS001960 (portability-PLR_log_IGF1) |
PSS008537| Greater Middle Eastern Ancestry| 1,118 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3755 [0.3236, 0.4253] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010559 | PGS001960 (portability-PLR_log_IGF1) |
PSS008315| South Asian Ancestry| 5,961 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3361 [0.3134, 0.3585] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010560 | PGS001960 (portability-PLR_log_IGF1) |
PSS008092| East Asian Ancestry| 1,710 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2886 [0.2443, 0.3317] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010561 | PGS001960 (portability-PLR_log_IGF1) |
PSS007879| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.1917 [0.1521, 0.2307] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010562 | PGS001960 (portability-PLR_log_IGF1) |
PSS008983| African Ancestry| 3,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2039 [0.1725, 0.2349] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012271 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS009435| European Ancestry| 18,901 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3913 [0.3791, 0.4033] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012272 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS009209| European Ancestry| 3,935 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3623 [0.3347, 0.3892] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012273 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008763| European Ancestry| 6,290 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3614 [0.3397, 0.3827] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012275 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008315| South Asian Ancestry| 5,961 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3299 [0.3071, 0.3524] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012276 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008092| East Asian Ancestry| 1,710 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2809 [0.2364, 0.3242] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012277 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS007879| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.1863 [0.1466, 0.2254] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012278 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008983| African Ancestry| 3,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2085 [0.1771, 0.2395] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012274 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008537| Greater Middle Eastern Ancestry| 1,118 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3575 [0.3048, 0.408] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM017551 | PGS003539 (cont-decay-log_IGF1) |
PSS010820| European Ancestry| 3,924 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017467 | PGS003539 (cont-decay-log_IGF1) |
PSS010904| European Ancestry| 19,017 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017635 | PGS003539 (cont-decay-log_IGF1) |
PSS010652| European Ancestry| 6,139 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017719 | PGS003539 (cont-decay-log_IGF1) |
PSS010568| Greater Middle Eastern Ancestry| 1,089 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017803 | PGS003539 (cont-decay-log_IGF1) |
PSS010232| European Ancestry| 2,227 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017887 | PGS003539 (cont-decay-log_IGF1) |
PSS010484| South Asian Ancestry| 5,908 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017971 | PGS003539 (cont-decay-log_IGF1) |
PSS010400| East Asian Ancestry| 1,699 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018055 | PGS003539 (cont-decay-log_IGF1) |
PSS010316| African Ancestry| 2,316 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018139 | PGS003539 (cont-decay-log_IGF1) |
PSS010736| African Ancestry| 3,608 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM020453 | PGS004338 (X30770.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: IGF-1 (nmol/L) | — | — | PGS R2 (no covariates): 0.28637 | — | — |
| PPM037950 | PGS019768 (TPMI_795.8_Lassosum2) |
PSS013666| East Asian Ancestry| 19,661 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Abnormal tumor markers | — | AUROC: 0.7395 | R²: 0.01644 | sex, age, array, PCs 1-10 | — |
| PPM037951 | PGS019769 (TPMI_795.8_LDpred2) |
PSS013665| East Asian Ancestry| 19,661 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Abnormal tumor markers | — | AUROC: 0.74457 | R²: 0.01701 | sex, age, array, PCs 1-10 | — |
| PPM037952 | PGS019770 (TPMI_795.8_MegaPRS) |
PSS013667| East Asian Ancestry| 19,661 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Abnormal tumor markers | — | AUROC: 0.73716 | R²: 0.01579 | sex, age, array, PCs 1-10 | — |
| PPM037953 | PGS019771 (TPMI_795.8_PRS-CS) |
PSS013668| East Asian Ancestry| 19,661 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Abnormal tumor markers | — | AUROC: 0.74155 | R²: 0.01621 | sex, age, array, PCs 1-10 | — |
| PPM037954 | PGS019772 (TPMI_795.8_SBayesR) |
PSS013669| East Asian Ancestry| 19,661 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Abnormal tumor markers | — | AUROC: 0.74098 | R²: 0.01618 | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS010400 | — | — | 1,699 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS007879 | — | — | 2,328 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS008537 | — | — | 1,118 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009435 | — | — | 18,901 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000709 | — | — | 5,974 individuals | — | African unspecified | — | UKB | — |
| PSS000710 | — | — | 1,074 individuals | — | East Asian | — | UKB | — |
| PSS000711 | — | — | 23,453 individuals | — | European | Non-British White | UKB | — |
| PSS000712 | — | — | 7,283 individuals | — | South Asian | — | UKB | — |
| PSS000713 | — | — | 63,393 individuals | — | European (British) |
— | UKB | — |
| PSS010820 | — | — | 3,924 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010568 | — | — | 1,089 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010316 | — | — | 2,316 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS009209 | — | — | 3,935 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008315 | — | — | 5,961 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS007166 | — | — | 6,058 individuals | — | African unspecified | — | UKB | — |
| PSS007167 | — | — | 1,609 individuals | — | East Asian | — | UKB | — |
| PSS007168 | — | — | 23,653 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007169 | — | — | 7,373 individuals | — | South Asian | — | UKB | — |
| PSS007170 | — | — | 64,106 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010736 | — | — | 3,608 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS008983 | — | — | 3,637 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010484 | — | — | 5,908 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS008092 | — | — | 1,710 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010232 | — | — | 2,227 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS013665 | 795.81, 795.82, 795.89,R97 | — | [ ,
46.16 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013666 | 795.81, 795.82, 795.89,R97 | — | [ ,
46.16 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013667 | 795.81, 795.82, 795.89,R97 | — | [ ,
46.16 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013668 | 795.81, 795.82, 795.89,R97 | — | [ ,
46.16 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013669 | 795.81, 795.82, 795.89,R97 | — | [ ,
46.16 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008763 | — | — | 6,290 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010904 | — | — | 19,017 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010652 | — | — | 6,139 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |