| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0001379 |
| Description | A disease involving the endocrine system. | Trait category |
Other disease
|
| Synonyms |
46 synonyms
|
| Mapped terms |
14 mapped terms
|
| Child trait(s) |
27 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000014 (GPS_T2D) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Type 2 diabetes | type 2 diabetes mellitus | 6,917,436 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000014/ScoringFiles/PGS000014.txt.gz | |
| PGS000020 (dGRS1000) |
PGP000010 | Läll K et al. Genet Med (2016) |
Type 2 diabetes | type 2 diabetes mellitus | 7,502 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000020/ScoringFiles/PGS000020.txt.gz |
| PGS000021 (GRS1) |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Type 1 diabetes | type 1 diabetes mellitus | 30 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000021/ScoringFiles/PGS000021.txt.gz | |
| PGS000022 (T1D_GRS) |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Type 1 diabetes | type 1 diabetes mellitus | 37 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000022/ScoringFiles/PGS000022.txt.gz |
| PGS000023 (AA_GRS) |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Type 1 diabetes | type 1 diabetes mellitus | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000023/ScoringFiles/PGS000023.txt.gz |
| PGS000024 (GRS2) |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Type 1 diabetes | type 1 diabetes mellitus | 67 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000024/ScoringFiles/PGS000024.txt.gz |
| PGS000031 (GRSt) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes | type 2 diabetes mellitus | 62 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000031/ScoringFiles/PGS000031.txt.gz |
| PGS000032 (GRSB) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (based on SNPs involved in β-cell function) | type 2 diabetes mellitus | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000032/ScoringFiles/PGS000032.txt.gz |
| PGS000033 (GRSIR) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (based on SNPs involved in insulin resistance) | type 2 diabetes mellitus | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000033/ScoringFiles/PGS000033.txt.gz |
| PGS000036 (gePS_T2D) |
PGP000023 | Mahajan A et al. Nat Genet (2018) |
Type 2 diabetes | type 2 diabetes mellitus | 171,249 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000036/ScoringFiles/PGS000036.txt.gz | |
| PGS000048 (OCPRS_Overall) |
PGP000033 | Kuchenbaecker KB et al. J Natl Cancer Inst (2017) |
Ovarian cancer | ovarian carcinoma | 17 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000048/ScoringFiles/PGS000048.txt.gz |
| PGS000068 (PRS_EOC) |
PGP000048 | Yang X et al. J Med Genet (2018) |
Epithelial ovarian cancer | ovarian carcinoma | 15 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000068/ScoringFiles/PGS000068.txt.gz |
| PGS000069 (PRS_sEOC) |
PGP000048 | Yang X et al. J Med Genet (2018) |
Serous epithelial ovarian cancer | ovarian serous carcinoma | 15 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000069/ScoringFiles/PGS000069.txt.gz |
| PGS000079 (CC_Melanoma) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Melanoma | melanoma | 24 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000079/ScoringFiles/PGS000079.txt.gz |
| PGS000082 (CC_Ovary) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Ovarian cancer | ovarian carcinoma | 36 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000082/ScoringFiles/PGS000082.txt.gz |
| PGS000083 (CC_Pancreas) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000083/ScoringFiles/PGS000083.txt.gz |
| PGS000086 (CC_Testis) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Testicular cancer | testicular carcinoma, Testicular Germ Cell Tumor |
52 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000086/ScoringFiles/PGS000086.txt.gz |
| PGS000087 (CC_Thyroid) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Thyroid cancer | thyroid carcinoma | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000087/ScoringFiles/PGS000087.txt.gz |
| PGS000118 (MEL29) |
PGP000055 | Fritsche LG et al. PLoS Genet (2019) |
Melanoma | melanoma | 29 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000118/ScoringFiles/PGS000118.txt.gz |
| PGS000125 (Qi_T2D_2017) |
PGP000062 | Qi Q et al. Diabetes (2017) |
Type 2 Diabetes | type 2 diabetes mellitus | 80 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000125/ScoringFiles/PGS000125.txt.gz |
| PGS000157 (cGRS_Melanoma) |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Melanoma | melanoma | 17 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000157/ScoringFiles/PGS000157.txt.gz |
| PGS000158 (cGRS_Ovarian) |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Ovarian cancer | ovarian carcinoma | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000158/ScoringFiles/PGS000158.txt.gz |
| PGS000159 (cGRS_Pancreatic) |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Pancreatic cancer | pancreatic carcinoma | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000159/ScoringFiles/PGS000159.txt.gz |
| PGS000162 (cGRS_Thyroid) |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Thyroid cancer | thyroid carcinoma | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000162/ScoringFiles/PGS000162.txt.gz |
| PGS000207 (TC10_Ohio) |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Thyroid cancer | thyroid carcinoma | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000207/ScoringFiles/PGS000207.txt.gz |
| PGS000208 (TC10_Iceland) |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Thyroid cancer | thyroid carcinoma | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000208/ScoringFiles/PGS000208.txt.gz |
| PGS000209 (TC10_UKB) |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Thyroid cancer | thyroid carcinoma | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000209/ScoringFiles/PGS000209.txt.gz |
| PGS000330 (PRS_T2D) |
PGP000100 | Mars N et al. Nat Med (2020) |
Type 2 diabetes | type 2 diabetes mellitus | 6,437,380 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000330/ScoringFiles/PGS000330.txt.gz | |
| PGS000339 (PRS22_CM) |
PGP000106 | Law MH et al. Hum Mol Genet (2020) |
Cutaneous melanoma | cutaneous melanoma | 22 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000339/ScoringFiles/PGS000339.txt.gz | |
| PGS000351 (PRS_EOC) |
PGP000117 | Barnes DR et al. Genet Med (2020) |
Invasive epithelial ovarian cancer | ovarian carcinoma | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000351/ScoringFiles/PGS000351.txt.gz |
| PGS000352 (PRS_HGS) |
PGP000117 | Barnes DR et al. Genet Med (2020) |
High grade serous ovarian cancer | high grade ovarian serous adenocarcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000352/ScoringFiles/PGS000352.txt.gz |
| PGS000385 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Pancreatic cancer | pancreatic carcinoma | 17 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000385/ScoringFiles/PGS000385.txt.gz | |
| PGS000386 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Pancreatic cancer | pancreatic carcinoma | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000386/ScoringFiles/PGS000386.txt.gz | |
| PGS000408 (PRSWEB_PHECODE172.1_20001-1059_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000408/ScoringFiles/PGS000408.txt.gz | |
| PGS000409 (PRSWEB_PHECODE172.1_20001-1059_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 1,111,490 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000409/ScoringFiles/PGS000409.txt.gz | |
| PGS000410 (PRSWEB_PHECODE172.1_20001-1059_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 7 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000410/ScoringFiles/PGS000410.txt.gz | |
| PGS000411 (PRSWEB_PHECODE172.1_20001-1059_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 185 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000411/ScoringFiles/PGS000411.txt.gz | |
| PGS000412 (PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 16 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000412/ScoringFiles/PGS000412.txt.gz | |
| PGS000413 (PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 1,111,490 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000413/ScoringFiles/PGS000413.txt.gz | |
| PGS000414 (PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000414/ScoringFiles/PGS000414.txt.gz | |
| PGS000415 (PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 505 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000415/ScoringFiles/PGS000415.txt.gz | |
| PGS000416 (PRSWEB_PHECODE172.1_C43_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 9 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000416/ScoringFiles/PGS000416.txt.gz | |
| PGS000417 (PRSWEB_PHECODE172.1_C43_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 1,109,519 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000417/ScoringFiles/PGS000417.txt.gz | |
| PGS000418 (PRSWEB_PHECODE172.1_C43_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 9 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000418/ScoringFiles/PGS000418.txt.gz | |
| PGS000419 (PRSWEB_PHECODE172.1_C43_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 436 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000419/ScoringFiles/PGS000419.txt.gz | |
| PGS000420 (PRSWEB_PHECODE172.1_D03_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 147 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000420/ScoringFiles/PGS000420.txt.gz | |
| PGS000421 (PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 18 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000421/ScoringFiles/PGS000421.txt.gz | |
| PGS000422 (PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 18 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000422/ScoringFiles/PGS000422.txt.gz | |
| PGS000423 (PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 29 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000423/ScoringFiles/PGS000423.txt.gz | |
| PGS000424 (PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 27 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000424/ScoringFiles/PGS000424.txt.gz | |
| PGS000425 (PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 20 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000425/ScoringFiles/PGS000425.txt.gz | |
| PGS000426 (PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 20 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000426/ScoringFiles/PGS000426.txt.gz | |
| PGS000427 (PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 20 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000427/ScoringFiles/PGS000427.txt.gz | |
| PGS000428 (PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 20 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000428/ScoringFiles/PGS000428.txt.gz | |
| PGS000429 (PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 12 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000429/ScoringFiles/PGS000429.txt.gz | |
| PGS000430 (PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 1,119,238 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000430/ScoringFiles/PGS000430.txt.gz | |
| PGS000431 (PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 15 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000431/ScoringFiles/PGS000431.txt.gz | |
| PGS000432 (PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Melanomas of skin (diagnosis or history) | melanoma | 296 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000432/ScoringFiles/PGS000432.txt.gz | |
| PGS000544 (PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000544/ScoringFiles/PGS000544.txt.gz | |
| PGS000545 (PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000545/ScoringFiles/PGS000545.txt.gz | |
| PGS000546 (PRSWEB_PHECODE184.11_Phelan-ENOC_PRS-CS_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 1,115,189 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000546/ScoringFiles/PGS000546.txt.gz | |
| PGS000547 (PRSWEB_PHECODE184.11_Phelan-EPOC_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 6 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000547/ScoringFiles/PGS000547.txt.gz | |
| PGS000548 (PRSWEB_PHECODE184.11_Phelan-EPOC_LASSOSUM_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 1,441 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000548/ScoringFiles/PGS000548.txt.gz | |
| PGS000549 (PRSWEB_PHECODE184.11_Phelan-IEOC_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 16 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000549/ScoringFiles/PGS000549.txt.gz | |
| PGS000550 (PRSWEB_PHECODE184.11_Phelan-IEOC_PRS-CS_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 1,115,189 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000550/ScoringFiles/PGS000550.txt.gz | |
| PGS000551 (PRSWEB_PHECODE184.11_Phelan-IEOC_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 12 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000551/ScoringFiles/PGS000551.txt.gz | |
| PGS000552 (PRSWEB_PHECODE184.11_Phelan-IEOC_LASSOSUM_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 41,269 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000552/ScoringFiles/PGS000552.txt.gz | |
| PGS000553 (PRSWEB_PHECODE184.11_Phelan-LSASBOC_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000553/ScoringFiles/PGS000553.txt.gz | |
| PGS000554 (PRSWEB_PHECODE184.11_Phelan-LSASBOC_PRS-CS_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 1,115,189 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000554/ScoringFiles/PGS000554.txt.gz | |
| PGS000555 (PRSWEB_PHECODE184.11_Phelan-LSASBOC_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 15 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000555/ScoringFiles/PGS000555.txt.gz | |
| PGS000556 (PRSWEB_PHECODE184.11_Phelan-LSASBOC_LASSOSUM_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 486,841 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000556/ScoringFiles/PGS000556.txt.gz | |
| PGS000557 (PRSWEB_PHECODE184.11_Phelan-OCCC_PRS-CS_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 1,115,187 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000557/ScoringFiles/PGS000557.txt.gz | |
| PGS000558 (PRSWEB_PHECODE184.11_Phelan-OCCC_LASSOSUM_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 1,098,236 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000558/ScoringFiles/PGS000558.txt.gz | |
| PGS000559 (PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000559/ScoringFiles/PGS000559.txt.gz | |
| PGS000560 (PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 21 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000560/ScoringFiles/PGS000560.txt.gz | |
| PGS000561 (PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 1,114,056 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000561/ScoringFiles/PGS000561.txt.gz | |
| PGS000562 (PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 1,115,189 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000562/ScoringFiles/PGS000562.txt.gz | |
| PGS000563 (PRSWEB_PHECODE184.11_Phelan-SIOC_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 12 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000563/ScoringFiles/PGS000563.txt.gz | |
| PGS000564 (PRSWEB_PHECODE184.11_Phelan-SIOC_LASSOSUM_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of ovary | ovarian neoplasm | 110,710 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000564/ScoringFiles/PGS000564.txt.gz | |
| PGS000595 (PRSWEB_PHECODE187.2_20001-1045_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 9 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000595/ScoringFiles/PGS000595.txt.gz | |
| PGS000596 (PRSWEB_PHECODE187.2_20001-1045_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000596/ScoringFiles/PGS000596.txt.gz | |
| PGS000597 (PRSWEB_PHECODE187.2_20001-1045_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000597/ScoringFiles/PGS000597.txt.gz | |
| PGS000598 (PRSWEB_PHECODE187.2_C3-TESTIS_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 6 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000598/ScoringFiles/PGS000598.txt.gz | |
| PGS000599 (PRSWEB_PHECODE187.2_C3-TESTIS_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 31 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000599/ScoringFiles/PGS000599.txt.gz | |
| PGS000600 (PRSWEB_PHECODE187.2_C3-TESTIS_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 250 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000600/ScoringFiles/PGS000600.txt.gz | |
| PGS000601 (PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 40 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000601/ScoringFiles/PGS000601.txt.gz | |
| PGS000602 (PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 40 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000602/ScoringFiles/PGS000602.txt.gz | |
| PGS000603 (PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 22 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000603/ScoringFiles/PGS000603.txt.gz | |
| PGS000604 (PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of testis | testicular carcinoma | 44 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000604/ScoringFiles/PGS000604.txt.gz | |
| PGS000626 (PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 8 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000626/ScoringFiles/PGS000626.txt.gz | |
| PGS000627 (PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 11 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000627/ScoringFiles/PGS000627.txt.gz | |
| PGS000628 (PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 656 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000628/ScoringFiles/PGS000628.txt.gz | |
| PGS000629 (PRSWEB_PHECODE193_C73_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 8 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000629/ScoringFiles/PGS000629.txt.gz | |
| PGS000630 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000630/ScoringFiles/PGS000630.txt.gz | |
| PGS000631 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000631/ScoringFiles/PGS000631.txt.gz | |
| PGS000632 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 8 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000632/ScoringFiles/PGS000632.txt.gz | |
| PGS000633 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000633/ScoringFiles/PGS000633.txt.gz | |
| PGS000634 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 1,119,238 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000634/ScoringFiles/PGS000634.txt.gz | |
| PGS000635 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000635/ScoringFiles/PGS000635.txt.gz | |
| PGS000636 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid carcinoma | 954 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000636/ScoringFiles/PGS000636.txt.gz | |
| PGS000655 (NAFLD-10) |
PGP000119 | Namjou B et al. BMC Med (2019) |
Non-alcoholic fatty liver disease | non-alcoholic fatty liver disease | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000655/ScoringFiles/PGS000655.txt.gz |
| PGS000663 (wGRS22) |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000663/ScoringFiles/PGS000663.txt.gz |
| PGS000704 (HC171) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Alcoholic cirrhosis | alcoholic liver cirrhosis | 183,271 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000704/ScoringFiles/PGS000704.txt.gz |
| PGS000712 (T2D_HbA1c_39) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
T2D (cases vs HbA1c filtered controls) | type 2 diabetes mellitus | 183,695 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000712/ScoringFiles/PGS000712.txt.gz |
| PGS000713 (T2D) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
T2D | type 2 diabetes mellitus | 183,830 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000713/ScoringFiles/PGS000713.txt.gz |
| PGS000724 (PRS_Ovary) |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Epithelial ovarian cancer | ovarian carcinoma | 31 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000724/ScoringFiles/PGS000724.txt.gz |
| PGS000725 (PRS_Pancreas) |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000725/ScoringFiles/PGS000725.txt.gz |
| PGS000726 (PGS12_CIR) |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Cirrhosis | cirrhosis of liver | 12 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000726/ScoringFiles/PGS000726.txt.gz | |
| PGS000729 (T2D_PGS) |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 2,017,388 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000729/ScoringFiles/PGS000729.txt.gz |
| PGS000732 (PRS_Melanoma) |
PGP000138 | Fontanillas P et al. Nat Commun (2021) |
Melanoma | melanoma | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000732/ScoringFiles/PGS000732.txt.gz |
| PGS000743 (PRS_melanoma) |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Melanoma | melanoma | 45 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000743/ScoringFiles/PGS000743.txt.gz |
| PGS000744 (PRS_melanoma_pigment.pathway) |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Melanoma | melanoma | 31 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000744/ScoringFiles/PGS000744.txt.gz |
| PGS000745 (PRS_melanoma_telomere.pathway) |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Melanoma | melanoma | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000745/ScoringFiles/PGS000745.txt.gz |
| PGS000759 (hypoT) |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Hypothyroidism | hypothyroidism | 140 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000759/ScoringFiles/PGS000759.txt.gz |
| PGS000761 (LDpred2_hypoT_PRS) |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Hypothyroidism | hypothyroidism | 1,099,649 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000761/ScoringFiles/PGS000761.txt.gz |
| PGS000766 (PRS56_CM) |
PGP000172 | Bakshi A et al. J Natl Cancer Inst (2021) |
Cutaneous melanoma | cutaneous melanoma | 56 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000766/ScoringFiles/PGS000766.txt.gz |
| PGS000776 (GRS9_Cirr) |
PGP000180 | Innes H et al. Gastroenterology (2020) |
Cirrhosis | cirrhosis of liver | 9 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000776/ScoringFiles/PGS000776.txt.gz | |
| PGS000790 (CC_Melanoma_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Melanoma | melanoma | 24 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000790/ScoringFiles/PGS000790.txt.gz |
| PGS000793 (CC_Ovary_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Ovarian cancer | ovarian carcinoma | 36 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000793/ScoringFiles/PGS000793.txt.gz |
| PGS000794 (CC_Pancreas_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000794/ScoringFiles/PGS000794.txt.gz |
| PGS000796 (CC_Testis_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Testicular cancer | testicular carcinoma, Testicular Germ Cell Tumor |
52 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000796/ScoringFiles/PGS000796.txt.gz |
| PGS000797 (CC_Thyroid_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Thyroid cancer | thyroid carcinoma | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000797/ScoringFiles/PGS000797.txt.gz |
| PGS000804 (GRS582_T2Dmulti) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000804/ScoringFiles/PGS000804.txt.gz |
| PGS000805 (GRS582_T2Deur) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000805/ScoringFiles/PGS000805.txt.gz |
| PGS000806 (GRS582_T2Dafr) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000806/ScoringFiles/PGS000806.txt.gz |
| PGS000807 (GRS582_T2Dasn) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000807/ScoringFiles/PGS000807.txt.gz |
| PGS000808 (GRS582_T2Dhis) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000808/ScoringFiles/PGS000808.txt.gz |
| PGS000813 (PRS46_melanoma) |
PGP000197 | Potjer TP et al. J Med Genet (2020) |
melanoma | melanoma | 46 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000813/ScoringFiles/PGS000813.txt.gz |
| PGS000820 (PRS_hypothyroidism) |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Hypothyroidism (self-reported) | hypothyroidism | 890,908 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000820/ScoringFiles/PGS000820.txt.gz |
| PGS000832 (T2D-GRS) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 384 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000832/ScoringFiles/PGS000832.txt.gz |
| PGS000833 (T1D) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 1 diabetes | type 1 diabetes mellitus | 66 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz |
| PGS000848 (T2D_Adiposity) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with adiposity) | type 2 diabetes mellitus | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000848/ScoringFiles/PGS000848.txt.gz |
| PGS000849 (T2D_Impaired_Lipids) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with impaired lipids) | type 2 diabetes mellitus | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000849/ScoringFiles/PGS000849.txt.gz |
| PGS000850 (T2D_Insulin_Action) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin action) | type 2 diabetes mellitus | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000850/ScoringFiles/PGS000850.txt.gz |
| PGS000851 (T2D_Insulin_Action_Secretion) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin action/secretion) | type 2 diabetes mellitus | 37 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000851/ScoringFiles/PGS000851.txt.gz |
| PGS000852 (T2D_Insulin_Secretion_1) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000852/ScoringFiles/PGS000852.txt.gz |
| PGS000853 (T2D_Insulin_Secretion_2) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000853/ScoringFiles/PGS000853.txt.gz |
| PGS000854 (T2D_BetaCell) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with beta cell function) | type 2 diabetes mellitus | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000854/ScoringFiles/PGS000854.txt.gz |
| PGS000855 (T2D_Lipodystrophy) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with lipodystrophy) | type 2 diabetes mellitus | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000855/ScoringFiles/PGS000855.txt.gz |
| PGS000856 (T2D_LiverLipids) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with liver lipids) | type 2 diabetes mellitus | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000856/ScoringFiles/PGS000856.txt.gz |
| PGS000857 (T2D_Obesity) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with obesity) | type 2 diabetes mellitus | 4 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000857/ScoringFiles/PGS000857.txt.gz |
| PGS000858 (T2D_Proinsulin) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with proinsulin levels) | type 2 diabetes mellitus | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000858/ScoringFiles/PGS000858.txt.gz |
| PGS000864 (T2D-gPRS) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 389,243 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000864/ScoringFiles/PGS000864.txt.gz |
| PGS000868 (T2D_221) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type II diabetes | type 2 diabetes mellitus | 221 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000868/ScoringFiles/PGS000868.txt.gz |
| PGS000869 (T1D_48) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type I diabetes | type 1 diabetes mellitus | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.txt.gz |
| PGS000872 (PRS-5) |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Non-alcoholic fatty liver disease | non-alcoholic fatty liver disease | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000872/ScoringFiles/PGS000872.txt.gz | |
| PGS000928 (GBE_HC644) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other non-toxic goitre (time-to-event) | nontoxic goiter | 170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000928/ScoringFiles/PGS000928.txt.gz |
| PGS000965 (GBE_HC219) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hypothyroidism/myxoedema | hypothyroidism, myxedema |
4,535 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000965/ScoringFiles/PGS000965.txt.gz |
| PGS001014 (GBE_HC654) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other disorders of pancreatic internal secretion (time-to-event) | pancreas disease | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001014/ScoringFiles/PGS001014.txt.gz |
| PGS001042 (GBE_HC645) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Thyrotoxicosis [hyperthyroidism] (time-to-event) | Thyrotoxicosis | 226 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001042/ScoringFiles/PGS001042.txt.gz |
| PGS001043 (GBE_HC55) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hyperthyroidism, thyrotoxicosis | Hyperthyroidism, Thyrotoxicosis |
69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001043/ScoringFiles/PGS001043.txt.gz |
| PGS001164 (GBE_cancer1045) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Testicular cancer | testicular carcinoma | 280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001164/ScoringFiles/PGS001164.txt.gz |
| PGS001181 (GBE_HC643) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other hypothyroidism (time-to-event) | hypothyroidism | 4,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001181/ScoringFiles/PGS001181.txt.gz |
| PGS001289 (GBE_cancer1065) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Thyroid cancer | thyroid carcinoma | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001289/ScoringFiles/PGS001289.txt.gz |
| PGS001293 (GBE_HC1123) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other diseases of liver (time-to-event) | liver disease | 92 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001293/ScoringFiles/PGS001293.txt.gz |
| PGS001294 (GBE_HC649) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Non-insulin-dependent diabetes (time-to-event) | type 2 diabetes mellitus | 3,496 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001294/ScoringFiles/PGS001294.txt.gz |
| PGS001295 (GBE_HC165) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001295/ScoringFiles/PGS001295.txt.gz |
| PGS001296 (GBE_HC648) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Insulin-dependent diabetes mellitus (time-to-event) | type 1 diabetes mellitus | 356 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz |
| PGS001297 (GBE_HC337) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 1 diabetes | type 1 diabetes mellitus | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz |
| PGS001304 (GBE_cancer1059) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Melanoma (malignant) | melanoma | 116 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001304/ScoringFiles/PGS001304.txt.gz |
| PGS001327 (GBE_HC221) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diabetes | diabetes mellitus | 4,053 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001327/ScoringFiles/PGS001327.txt.gz |
| PGS001329 (GBE_HC652) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Unspecified diabetes mellitus (time-to-event) | diabetes mellitus | 2,270 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001329/ScoringFiles/PGS001329.txt.gz |
| PGS001354 (PRS12_TC) |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Thyroid cancer | thyroid carcinoma | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001354/ScoringFiles/PGS001354.txt.gz |
| PGS001357 (T2D_AnnoPred_PRS) |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 2,996,761 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001357/ScoringFiles/PGS001357.txt.gz | |
| PGS001371 (GBE_INI2976) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Age diabetes diagnosed | diabetes mellitus, age at diagnosis |
26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001371/ScoringFiles/PGS001371.txt.gz |
| PGS001777 (3-SNP_cirr) |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Cirrhosis (alcohol related) | alcoholic liver cirrhosis | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001777/ScoringFiles/PGS001777.txt.gz |
| PGS001781 (T2D_PRSCS) |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 1,091,673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001781/ScoringFiles/PGS001781.txt.gz |
| PGS001809 (portability-PLR_193) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyroid cancer | thyroid carcinoma | 111 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001809/ScoringFiles/PGS001809.txt.gz |
| PGS001814 (portability-PLR_241.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Nontoxic multinodular goiter | multinodular goiter, nontoxic goiter |
322 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001814/ScoringFiles/PGS001814.txt.gz |
| PGS001815 (portability-PLR_242) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyrotoxicosis with or without goiter | Thyrotoxicosis | 280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001815/ScoringFiles/PGS001815.txt.gz |
| PGS001816 (portability-PLR_244) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 11,130 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001816/ScoringFiles/PGS001816.txt.gz |
| PGS001817 (portability-PLR_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes | type 1 diabetes mellitus | 825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.txt.gz |
| PGS001818 (portability-PLR_250.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 30,745 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001818/ScoringFiles/PGS001818.txt.gz |
| PGS001860 (portability-PLR_571.5) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Other chronic nonalcoholic liver disease | liver disease | 497 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001860/ScoringFiles/PGS001860.txt.gz |
| PGS002018 (portability-ldpred2_193) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyroid cancer | thyroid carcinoma | 311,520 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002018/ScoringFiles/PGS002018.txt.gz |
| PGS002022 (portability-ldpred2_241.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Nontoxic multinodular goiter | multinodular goiter, nontoxic goiter |
375,470 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002022/ScoringFiles/PGS002022.txt.gz |
| PGS002023 (portability-ldpred2_242) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyrotoxicosis with or without goiter | Thyrotoxicosis | 279,385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002023/ScoringFiles/PGS002023.txt.gz |
| PGS002024 (portability-ldpred2_244) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 632,597 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002024/ScoringFiles/PGS002024.txt.gz |
| PGS002025 (portability-ldpred2_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes | type 1 diabetes mellitus | 106,800 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.txt.gz |
| PGS002026 (portability-ldpred2_250.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 830,783 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002026/ScoringFiles/PGS002026.txt.gz |
| PGS002071 (portability-ldpred2_571.5) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Other chronic nonalcoholic liver disease | liver disease | 352,506 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002071/ScoringFiles/PGS002071.txt.gz |
| PGS002243 (ldpred_t2d) |
PGP000271 | Mars N et al. Cell Genom (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 6,431,973 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002243/ScoringFiles/PGS002243.txt.gz | |
| PGS002246 (Melanoma_PRS50) |
PGP000274 | Steinberg J et al. Br J Dermatol (2021) |
Melanoma | melanoma | 50 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002246/ScoringFiles/PGS002246.txt.gz |
| PGS002247 (Melanoma_PRS68) |
PGP000274 | Steinberg J et al. Br J Dermatol (2021) |
Melanoma | melanoma | 68 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002247/ScoringFiles/PGS002247.txt.gz |
| PGS002250 (PRS_S4) |
PGP000277 | Dareng EO et al. Eur J Hum Genet (2022) |
Epithelial ovarian cancer | ovarian carcinoma | 27,240 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002250/ScoringFiles/PGS002250.txt.gz |
| PGS002253 (Melanoma_PRS45) |
PGP000274 | Steinberg J et al. Br J Dermatol (2021) |
Melanoma | melanoma | 45 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002253/ScoringFiles/PGS002253.txt.gz |
| PGS002256 (GRS4_GDM) |
PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022) |
Gestational diabetes mellitus in early pregnancy | gestational diabetes | 4 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002256/ScoringFiles/PGS002256.txt.gz | |
| PGS002264 (PRS_Combined) |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Pancreatic ductal adenocarcinoma | pancreatic ductal adenocarcinoma | 49 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002264/ScoringFiles/PGS002264.txt.gz |
| PGS002277 (pPS_Insulin_secretion_1) |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002277/ScoringFiles/PGS002277.txt.gz |
| PGS002282 (GRS68_NAFLD) |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Nonalcoholic fatty liver disease | non-alcoholic fatty liver disease | 68 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002282/ScoringFiles/PGS002282.txt.gz |
| PGS002283 (GRS15_NAFLD) |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Nonalcoholic fatty liver disease | non-alcoholic fatty liver disease | 15 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002283/ScoringFiles/PGS002283.txt.gz |
| PGS002301 (PRS22_melanoma) |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Melanoma | melanoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002301/ScoringFiles/PGS002301.txt.gz |
| PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002321/ScoringFiles/PGS002321.txt.gz |
| PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002324/ScoringFiles/PGS002324.txt.gz |
| PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002324/ScoringFiles/PGS002324.txt.gz |
| PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002336/ScoringFiles/PGS002336.txt.gz |
| PGS002351 (disease_THYROID_ANY_SELF_REP.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid disease | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002351/ScoringFiles/PGS002351.txt.gz |
| PGS002354 (disease_T2D.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002354/ScoringFiles/PGS002354.txt.gz |
| PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 920,930 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002379/ScoringFiles/PGS002379.txt.gz |
| PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 3,813 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002393/ScoringFiles/PGS002393.txt.gz |
| PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
3,681 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002396/ScoringFiles/PGS002396.txt.gz |
| PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
3,681 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002396/ScoringFiles/PGS002396.txt.gz |
| PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 4,815 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002408/ScoringFiles/PGS002408.txt.gz |
| PGS002423 (disease_THYROID_ANY_SELF_REP.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid disease | 4,483 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002423/ScoringFiles/PGS002423.txt.gz |
| PGS002426 (disease_T2D.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 3,947 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002426/ScoringFiles/PGS002426.txt.gz |
| PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 15,915 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002442/ScoringFiles/PGS002442.txt.gz |
| PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
15,629 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002445/ScoringFiles/PGS002445.txt.gz |
| PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
15,629 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002445/ScoringFiles/PGS002445.txt.gz |
| PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 17,519 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002457/ScoringFiles/PGS002457.txt.gz |
| PGS002472 (disease_THYROID_ANY_SELF_REP.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid disease | 16,694 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002472/ScoringFiles/PGS002472.txt.gz |
| PGS002475 (disease_T2D.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 16,275 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002475/ScoringFiles/PGS002475.txt.gz |
| PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 95,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002491/ScoringFiles/PGS002491.txt.gz |
| PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
93,293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002494/ScoringFiles/PGS002494.txt.gz |
| PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
93,293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002494/ScoringFiles/PGS002494.txt.gz |
| PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 97,010 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002506/ScoringFiles/PGS002506.txt.gz |
| PGS002521 (disease_THYROID_ANY_SELF_REP.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid disease | 95,522 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002521/ScoringFiles/PGS002521.txt.gz |
| PGS002524 (disease_T2D.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 95,287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002524/ScoringFiles/PGS002524.txt.gz |
| PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 598 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002540/ScoringFiles/PGS002540.txt.gz |
| PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
528 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002543/ScoringFiles/PGS002543.txt.gz |
| PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
528 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002543/ScoringFiles/PGS002543.txt.gz |
| PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 986 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002555/ScoringFiles/PGS002555.txt.gz |
| PGS002570 (disease_THYROID_ANY_SELF_REP.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid disease | 954 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002570/ScoringFiles/PGS002570.txt.gz |
| PGS002573 (disease_T2D.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002573/ScoringFiles/PGS002573.txt.gz |
| PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 267 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002589/ScoringFiles/PGS002589.txt.gz |
| PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002592/ScoringFiles/PGS002592.txt.gz |
| PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002592/ScoringFiles/PGS002592.txt.gz |
| PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 550 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002604/ScoringFiles/PGS002604.txt.gz |
| PGS002619 (disease_THYROID_ANY_SELF_REP.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid disease | 548 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002619/ScoringFiles/PGS002619.txt.gz |
| PGS002622 (disease_T2D.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002622/ScoringFiles/PGS002622.txt.gz |
| PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 247,386 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002638/ScoringFiles/PGS002638.txt.gz |
| PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
256,678 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002641/ScoringFiles/PGS002641.txt.gz |
| PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
256,678 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002641/ScoringFiles/PGS002641.txt.gz |
| PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 197,450 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002653/ScoringFiles/PGS002653.txt.gz |
| PGS002668 (disease_THYROID_ANY_SELF_REP.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid disease | 189,808 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002668/ScoringFiles/PGS002668.txt.gz |
| PGS002671 (disease_T2D.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 258,382 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002671/ScoringFiles/PGS002671.txt.gz |
| PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 923,080 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002687/ScoringFiles/PGS002687.txt.gz |
| PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
905,637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002690/ScoringFiles/PGS002690.txt.gz |
| PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
905,637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002690/ScoringFiles/PGS002690.txt.gz |
| PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 889,041 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002702/ScoringFiles/PGS002702.txt.gz |
| PGS002717 (disease_THYROID_ANY_SELF_REP.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid disease | 895,602 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002717/ScoringFiles/PGS002717.txt.gz |
| PGS002720 (disease_T2D.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 911,809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002720/ScoringFiles/PGS002720.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000023 | PGS000014 (GPS_T2D) |
PSS000017| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.73 [0.72, 0.73] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM002477 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.709 [0.696, 0.722] | Hazard ratio (HR, top 10% vs. remaining 90%): 2.0 [1.73, 2.31] | Sex, age, principal components, assessment center | — |
| PPM002478 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.68 [0.663, 0.697] | — | Age, principal components and assessment center | — |
| PPM002479 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.705 [0.682, 0.728] | — | Age, principal components and assessment center | — |
| PPM002480 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.776 [0.764, 0.788] | — | Sex, age, principal components, assessment center, polyexposure score | — |
| PPM002481 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.844 [0.834, 0.854] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002482 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.855 [0.845, 0.865] | — | Sex, age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002483 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.786 [0.765, 0.807] | — | Age, principal components, assessment center, polyexposure score | — |
| PPM002485 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.859 [0.842, 0.876] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002486 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.749 [0.734, 0.764] | — | Age, principal components, assessment center, polyexposure score | — |
| PPM002487 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.821 [0.808, 0.834] | — | Age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002488 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.834 [0.821, 0.847] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002484 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.869 [0.853, 0.885] | — | Age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM000040 | PGS000020 (dGRS1000) |
PSS000025| European Ancestry| 6,280 individuals |
PGP000010 | Läll K et al. Genet Med (2016) |
Reported Trait: Incident type 2 diabetes | HR: 1.48 [1.32, 1.66] | C-index: 0.79 [0.771, 0.812] | — | BMI category, smoking level, waist-to-hip ratio, waist circumference, physical activity level, history of high blood glucose, fruit and vegetable consumption, and sex. | Cox age-as-time-scale |
| PPM000132 | PGS000021 (GRS1) |
PSS000083| European Ancestry| 2,768 individuals |
PGP000038 | Patel KA et al. Diabetes (2016) |Ext. |
Reported Trait: Type 1 diabetes aetiology (non-monogenic) | — | AUROC: 0.87 [0.86, 0.89] | — | — | Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation |
| PPM000041 | PGS000021 (GRS1) |
PSS000026| European Ancestry| 223 individuals |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Reported Trait: Severe insulin deficiency | — | AUROC: 0.96 [0.94, 0.99] | AUROC (without covariates): 0.87 | islet auto-antibody status, body mass index (BMI), age at diagnosis | — |
| PPM000046 | PGS000021 (GRS1) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.798 | — | — | — |
| PPM000049 | PGS000021 (GRS1) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.893 | — | — | — |
| PPM000042 | PGS000022 (T1D_GRS) |
PSS000029| European Ancestry| 1,447 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.8508 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000043 | PGS000022 (T1D_GRS) |
PSS000028| Hispanic or Latin American Ancestry| 252 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.9003 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000044 | PGS000022 (T1D_GRS) |
PSS000027| African Ancestry| 299 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7522 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000045 | PGS000023 (AA_GRS) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.87 | — | — | NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations) |
| PPM000047 | PGS000023 (AA_GRS) |
PSS000031| African Ancestry| 145 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.779 | — | — | — |
| PPM000048 | PGS000024 (GRS2) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.921 | Youden index: 0.698 | — | — |
| PPM000753 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) | — | AUROC: 0.93 | — | autoantibodies, family history | — |
| PPM000754 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) | — | AUROC: 0.87 | — | autoantibodies, family history | — |
| PPM000755 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000751 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000752 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) | — | AUROC: 0.94 | — | autoantibodies, family history | — |
| PPM000750 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) | — | AUROC: 0.73 [0.7, 0.77] | — | — | — |
| PPM002250 | PGS000024 (GRS2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002251 | PGS000024 (GRS2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.01 [0.95, 1.08] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002252 | PGS000024 (GRS2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.99 [0.94, 1.04] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002249 | PGS000024 (GRS2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002248 | PGS000024 (GRS2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Autoimmune Diabetes | OR: 2.55 [2.28, 2.86] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM000062 | PGS000031 (GRSt) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [1.04, 1.08] | C-index: 0.906 [0.892, 0.92] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000063 | PGS000031 (GRSt) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [1.02, 1.1] | C-index: 0.853 [0.81, 0.896] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000064 | PGS000031 (GRSt) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.05 [1.0, 1.09] | C-index: 0.771 [0.727, 0.814] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000065 | PGS000032 (GRSB) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.1 [1.06, 1.14] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000066 | PGS000032 (GRSB) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.09 [1.02, 1.17] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000067 | PGS000032 (GRSB) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [0.99, 1.15] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM002415 | PGS000032 (GRSB) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |Ext. |
Reported Trait: Cystic-fibrosis related diabetes onset | HR: 1.192 | — | — | PCs(1-4), site of recruitment | — |
| PPM000068 | PGS000033 (GRSIR) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 0.98 [0.93, 1.04] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000069 | PGS000033 (GRSIR) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.01 [0.91, 1.12] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000070 | PGS000033 (GRSIR) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [0.99, 1.15] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000080 | PGS000036 (gePS_T2D) |
PSS000054| European Ancestry| 324,870 individuals |
PGP000024 | Udler MS et al. Endocr Rev (2019) |Ext. |
Reported Trait: Type 2 diabetes | — | AUROC: 0.66 | — | genotyping array, first 6 PCs of ancestry | — |
| PPM000081 | PGS000036 (gePS_T2D) |
PSS000054| European Ancestry| 324,870 individuals |
PGP000024 | Udler MS et al. Endocr Rev (2019) |Ext. |
Reported Trait: Type 2 diabetes | — | AUROC: 0.73 | — | age, sex, genotyping array, first 6 PCs of ancestry | — |
| PPM000112 | PGS000048 (OCPRS_Overall) |
PSS000072| European Ancestry| 15,252 individuals |
PGP000033 | Kuchenbaecker KB et al. J Natl Cancer Inst (2017) |
Reported Trait: Ovarian cancer in BRCA1 mutation carriers | HR: 1.28 [1.22, 1.34] | C-index: 0.579 [0.559, 0.6] | — | Country, birth year | — |
| PPM000113 | PGS000048 (OCPRS_Overall) |
PSS000073| European Ancestry| 8,211 individuals |
PGP000033 | Kuchenbaecker KB et al. J Natl Cancer Inst (2017) |
Reported Trait: Ovarian cancer in BRCA2 mutation carriers | HR: 1.49 [1.34, 1.65] | C-index: 0.628 [0.592, 0.665] | — | Country, birth year | — |
| PPM000188 | PGS000068 (PRS_EOC) |
PSS000108| European Ancestry| 4,095 individuals |
PGP000048 | Yang X et al. J Med Genet (2018) |
Reported Trait: all invasive epithelial ovarian cancer | OR: 1.32 [1.21, 1.45] | C-index: 0.58 [0.55, 0.6] | — | — | — |
| PPM000189 | PGS000069 (PRS_sEOC) |
PSS000108| European Ancestry| 4,095 individuals |
PGP000048 | Yang X et al. J Med Genet (2018) |
Reported Trait: serous epithelial ovarian cancer | OR: 1.43 [1.29, 1.58] | C-index: 0.6 [0.57, 0.63] | — | — | — |
| PPM000199 | PGS000079 (CC_Melanoma) |
PSS000118| European Ancestry| 417,136 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Melanoma | OR: 1.44 [1.41, 1.48] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM002045 | PGS000079 (CC_Melanoma) |
PSS001018| European Ancestry| 392,803 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident melanoma | HR: 1.43 [1.36, 1.49] | AUROC: 0.652 C-index: 0.663 (0.008) |
— | Age at assessment, sex, genotyping array, PCs(1-15), frequency of UV protection use (always vs. most times vs. never out in the sun vs. never), time outdoors in summer (hours per day), ease of tanning (very easily, vs. moderate vs mild vs. mostly burn) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM000202 | PGS000082 (CC_Ovary) |
PSS000121| European Ancestry| 220,909 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Ovarian cancer | OR: 1.14 [1.08, 1.2] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM002048 | PGS000082 (CC_Ovary) |
PSS001021| European Ancestry| 211,958 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident ovarian cancer | HR: 1.13 [1.04, 1.24] | AUROC: 0.656 C-index: 0.655 (0.015) |
— | Age at assessment, family history of breast cancer, genotyping array, PCs(1-15), parity ( ≥1 live birth vs. none), body mass index, Menopausal status (pre-menopausal vs. post-menopausal vs. unknown or hysterectomy), ever used hormone replacement therapy, oral contraceptive use (never used (0) vs. <20 years vs. ≥20 years), BMI*menopausal status | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM000203 | PGS000083 (CC_Pancreas) |
PSS000122| European Ancestry| 411,019 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Pancreatic cancer | OR: 1.44 [1.33, 1.55] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM002049 | PGS000083 (CC_Pancreas) |
PSS001022| European Ancestry| 391,491 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident pancreatic cancer | HR: 1.49 [1.36, 1.62] | AUROC: 0.745 C-index: 0.742 (0.012) |
— | Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM000206 | PGS000086 (CC_Testis) |
PSS000125| European Ancestry| 170,680 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Testicular cancer | OR: 2.29 [2.13, 2.47] | — | — | Genotyping array, age, 10 PCs. | — |
| PPM002051 | PGS000086 (CC_Testis) |
PSS001024| European Ancestry| 179,537 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident testicular cancer | HR: 2.18 [1.66, 2.87] | AUROC: 0.783 C-index: 0.749 (0.034) |
— | Age at assessment, genotyping array, PCs(1-15) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM000207 | PGS000087 (CC_Thyroid) |
PSS000126| European Ancestry| 411,118 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Thyroid cancer | OR: 1.55 [1.44, 1.67] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM002052 | PGS000087 (CC_Thyroid) |
PSS001025| European Ancestry| 391,189 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident thyroid cancer | HR: 1.57 [1.36, 1.82] | AUROC: 0.679 C-index: 0.666 (0.023) |
— | Age at assessment, sex,, genotyping array, PCs(1-15), body mass index (BMI <25 vs. 25≤BMI<30, BMI≥30) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM000342 | PGS000118 (MEL29) |
PSS000207| European Ancestry| 20,468 individuals |
PGP000055 | Fritsche LG et al. PLoS Genet (2019) |
Reported Trait: Skin cancer | OR: 1.3 [1.26, 1.34] | AUROC: 0.57 [0.56, 0.58] | — | age, sex, batch, PC1-4 | — |
| PPM000339 | PGS000118 (MEL29) |
PSS000206| European Ancestry| 20,468 individuals |
PGP000055 | Fritsche LG et al. PLoS Genet (2019) |
Reported Trait: Melanoma | OR: 1.48 [1.41, 1.56] | AUROC: 0.61 [0.59, 0.62] | — | age, sex, batch, PC1-4 | — |
| PPM000348 | PGS000118 (MEL29) |
PSS000210| European Ancestry| 29,898 individuals |
PGP000055 | Fritsche LG et al. PLoS Genet (2019) |
Reported Trait: Melanoma | OR: 1.5 [1.44, 1.55] | — | — | age, sex, genotyping array, first 4 genotype PCs | — |
| PPM000345 | PGS000118 (MEL29) |
PSS000211| European Ancestry| 149,857 individuals |
PGP000055 | Fritsche LG et al. PLoS Genet (2019) |
Reported Trait: Skin cancer | OR: 1.2 [1.22, 1.36] | — | — | age, sex, genotyping array, first 4 genotype PCs | — |
| PPM000404 | PGS000125 (Qi_T2D_2017) |
PSS000232| Hispanic or Latin American Ancestry| 7,746 individuals |
PGP000062 | Qi Q et al. Diabetes (2017) |
Reported Trait: Type 2 Diabetes | — | — | OR (Odds Ratio, per risk allele): 1.07 [1.06, 1.08] | center, age, sex, 5 PCs of ancestry | Covariance matrices corresponding to genetic relatedness (kinship), household, and census block group were included as random effects in the mixed model analysis |
| PPM000488 | PGS000157 (cGRS_Melanoma) |
PSS000277| European Ancestry| 13,877 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Melanoma | — | — | Odds Ratio (OR; high vs. average risk groups): 1.72 [1.37, 2.16] | — | — |
| PPM000477 | PGS000157 (cGRS_Melanoma) |
PSS000277| European Ancestry| 13,877 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Melanoma | — | — | Mean realative risk: 1.2 [1.14, 1.26] Wilcoxon test (case vs. control) p-value: 5.99e-11 |
— | — |
| PPM000489 | PGS000158 (cGRS_Ovarian) |
PSS000278| European Ancestry| 7,551 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Ovarian cancer | — | — | Odds Ratio (OR; high vs. average risk groups): 1.63 [1.3, 2.06] | — | — |
| PPM000478 | PGS000158 (cGRS_Ovarian) |
PSS000278| European Ancestry| 7,551 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Ovarian cancer | — | — | Mean realative risk: 1.12 [1.08, 1.16] Wilcoxon test (case vs. control) p-value: 0.00015 |
— | — |
| PPM000490 | PGS000159 (cGRS_Pancreatic) |
PSS000279| European Ancestry| 13,590 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Pancreatic cancer | — | — | Odds Ratio (OR; high vs. average risk groups): 1.67 [1.1, 2.53] | — | — |
| PPM000479 | PGS000159 (cGRS_Pancreatic) |
PSS000279| European Ancestry| 13,590 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Pancreatic cancer | — | — | Mean realative risk: 1.13 [1.07, 1.18] Wilcoxon test (case vs. control) p-value: 0.00015 |
— | — |
| PPM000493 | PGS000162 (cGRS_Thyroid) |
PSS000282| European Ancestry| 13,814 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Thyroid cancer | — | — | Odds Ratio (OR; high vs. average risk groups): 1.7 [1.29, 2.25] | — | — |
| PPM000482 | PGS000162 (cGRS_Thyroid) |
PSS000282| European Ancestry| 13,814 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Thyroid cancer | — | — | Mean realative risk: 1.09 [1.04, 1.15] Wilcoxon test (case vs. control) p-value: 4e-05 |
— | — |
| PPM000631 | PGS000207 (TC10_Ohio) |
PSS000342| European Ancestry| 3,137 individuals |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Reported Trait: Thyroid cancer | — | AUROC: 0.692 [0.673, 0.71] | — | gender, birth year, family history of disease (1st or 2nd degree relative) | AUROC (Clinical factors alone) = 0.585 [0.565 - 0.605] |
| PPM000632 | PGS000208 (TC10_Iceland) |
PSS000341| European Ancestry| 130,279 individuals |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Reported Trait: Thyroid cancer | — | AUROC: 0.751 [0.736, 0.768] | — | gender, birth year, family history of disease (1st or 2nd degree relative) | AUROC (Clinical factors alone) = 0.697 [0.680 - 0.714] |
| PPM000633 | PGS000209 (TC10_UKB) |
PSS000343| European Ancestry| 408,479 individuals |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Reported Trait: Thyroid cancer | — | AUROC: 0.694 [0.673, 0.716] | — | gender, birth year | AUROC (Clinical factors alone) = 0.629 [0.606 - 0.651] |
| PPM000897 | PGS000330 (PRS_T2D) |
PSS000441| European Ancestry| 21,030 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident type 2 diabetes | — | C-index: 0.845 | — | age, sex, BMI, history of stroke or CHD, parental history of diabetes, SBP, DBP, HDL, triglycerides, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000892 | PGS000330 (PRS_T2D) |
PSS000441| European Ancestry| 21,030 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident type 2 diabetes | HR: 1.7 [1.63, 1.78] | C-index: 0.763 | — | age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000887 | PGS000330 (PRS_T2D) |
PSS000448| European Ancestry| 135,300 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Type 2 diabetes (incident and prevalent cases) | HR: 1.74 [1.72, 1.77] | — | — | genotyping array/batch, 10 ancestry PCs, stratified by sex | — |
| PPM000922 | PGS000339 (PRS22_CM) |
PSS000464| European Ancestry| 1,885 individuals |
PGP000106 | Law MH et al. Hum Mol Genet (2020) |
Reported Trait: Cutaneous melanoma in multiplex melanoma families | — | — | Difference of PRS (deltaPRS; unaffected melanoma family members vs. unrelated controls): 0.347 (0.104) | PCs (1-10) | *Sample overlap between the controls used in this analysis and score development |
| PPM000921 | PGS000339 (PRS22_CM) |
PSS000463| European Ancestry| 3,066 individuals |
PGP000106 | Law MH et al. Hum Mol Genet (2020) |
Reported Trait: Cutaneous melanoma in multiplex melanoma families | — | — | Difference of PRS (deltaPRS; melanoma family cases vs. unrelated controls): 0.505 (0.036) | PCs (1-10) | *Sample overlap between the controls used in this analysis and score development |
| PPM001030 | PGS000351 (PRS_EOC) |
PSS000524| European Ancestry| 18,935 individuals |
PGP000117 | Barnes DR et al. Genet Med (2020) |
Reported Trait: Ovarian cancer in BRCA1 carriers | HR: 1.31 [1.24, 1.39] | — | — | birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives | — |
| PPM001031 | PGS000351 (PRS_EOC) |
PSS000528| European Ancestry| 12,339 individuals |
PGP000117 | Barnes DR et al. Genet Med (2020) |
Reported Trait: Ovarian cancer in BRCA2 carriers | HR: 1.42 [1.28, 1.58] | — | — | birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives | — |
| PPM001032 | PGS000352 (PRS_HGS) |
PSS000524| European Ancestry| 18,935 individuals |
PGP000117 | Barnes DR et al. Genet Med (2020) |
Reported Trait: Ovarian cancer in BRCA1 carriers | HR: 1.32 [1.25, 1.4] | — | — | birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives | — |
| PPM001033 | PGS000352 (PRS_HGS) |
PSS000528| European Ancestry| 12,339 individuals |
PGP000117 | Barnes DR et al. Genet Med (2020) |
Reported Trait: Ovarian cancer in BRCA2 carriers | HR: 1.43 [1.29, 1.59] | — | — | birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives | — |
| PPM001036 | PGS000352 (PRS_HGS) |
PSS000530| European Ancestry| 3,152 individuals |
PGP000117 | Barnes DR et al. Genet Med (2020) |
Reported Trait: Incident ovarian cancer in BRCA1 carriers | HR: 1.28 [1.06, 1.55] | — | — | family history of the appropriate cancer in first- and second-degree relatives | — |
| PPM001037 | PGS000352 (PRS_HGS) |
PSS000532| European Ancestry| 2,495 individuals |
PGP000117 | Barnes DR et al. Genet Med (2020) |
Reported Trait: Incident ovarian cancer in BRCA2 carriers | HR: 1.45 [1.13, 1.86] | — | — | family history of the appropriate cancer in first- and second-degree relatives | — |
| PPM001070 | PGS000385 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608) |
PSS000565| European Ancestry| 3,591 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Pancreatic cancer | OR: 1.384 [1.235, 1.552] β: 0.325 (0.0583) |
AUROC: 0.589 [0.559, 0.622] | Nagelkerke's Pseudo-R²: 0.019 Brier score: 0.082 Odds Ratio (OR, top 1% vs. Rest): 2.58 [1.19, 5.57] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608 |
| PPM001071 | PGS000386 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608) |
PSS000565| European Ancestry| 3,591 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Pancreatic cancer | OR: 1.342 [1.199, 1.503] β: 0.294 (0.0577) |
AUROC: 0.579 [0.548, 0.611] | Nagelkerke's Pseudo-R²: 0.0157 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 1.64 [0.655, 4.12] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608 |
| PPM001093 | PGS000408 (PRSWEB_PHECODE172.1_20001-1059_P_5e-08_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.384 [1.311, 1.461] β: 0.325 (0.0276) |
AUROC: 0.576 [0.561, 0.593] | Nagelkerke's Pseudo-R²: 0.0217 Brier score: 0.0957 Odds Ratio (OR, top 1% vs. Rest): 2.25 [1.48, 3.42] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_20001-1059_P_5e-08_MGI_20200608 |
| PPM001094 | PGS000409 (PRSWEB_PHECODE172.1_20001-1059_PRS-CS_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.192 [1.126, 1.263] β: 0.176 (0.0292) |
AUROC: 0.547 [0.531, 0.563] | Nagelkerke's Pseudo-R²: 0.0061 Brier score: 0.0966 Odds Ratio (OR, top 1% vs. Rest): 1.94 [1.25, 3.02] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_20001-1059_PRS-CS_MGI_20200608 |
| PPM001095 | PGS000410 (PRSWEB_PHECODE172.1_20001-1059_PT_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.399 [1.327, 1.476] β: 0.336 (0.0272) |
AUROC: 0.578 [0.562, 0.594] | Nagelkerke's Pseudo-R²: 0.0239 Brier score: 0.0956 Odds Ratio (OR, top 1% vs. Rest): 2.65 [1.79, 3.93] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_20001-1059_PT_MGI_20200608 |
| PPM001096 | PGS000411 (PRSWEB_PHECODE172.1_20001-1059_LASSOSUM_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.378 [1.308, 1.451] β: 0.32 (0.0265) |
AUROC: 0.571 [0.555, 0.587] | Nagelkerke's Pseudo-R²: 0.0222 Brier score: 0.0957 Odds Ratio (OR, top 1% vs. Rest): 2.0 [1.29, 3.09] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_20001-1059_LASSOSUM_MGI_20200608 |
| PPM001097 | PGS000412 (PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_P_5e-08_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.414 [1.338, 1.495] β: 0.347 (0.0282) |
AUROC: 0.585 [0.569, 0.6] | Nagelkerke's Pseudo-R²: 0.0236 Brier score: 0.0955 Odds Ratio (OR, top 1% vs. Rest): 3.26 [2.26, 4.7] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_P_5e-08_MGI_20200608 |
| PPM001098 | PGS000413 (PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PRS-CS_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.27 [1.199, 1.346] β: 0.239 (0.0294) |
AUROC: 0.568 [0.552, 0.584] | Nagelkerke's Pseudo-R²: 0.0109 Brier score: 0.0964 Odds Ratio (OR, top 1% vs. Rest): 2.09 [1.35, 3.22] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PRS-CS_MGI_20200608 |
| PPM001099 | PGS000414 (PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PT_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.44 [1.363, 1.522] β: 0.365 (0.0283) |
AUROC: 0.593 [0.576, 0.609] | Nagelkerke's Pseudo-R²: 0.026 Brier score: 0.0954 Odds Ratio (OR, top 1% vs. Rest): 2.97 [2.02, 4.36] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PT_MGI_20200608 |
| PPM001100 | PGS000415 (PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_LASSOSUM_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.391 [1.318, 1.467] β: 0.33 (0.0272) |
AUROC: 0.578 [0.562, 0.595] | Nagelkerke's Pseudo-R²: 0.0227 Brier score: 0.0957 Odds Ratio (OR, top 1% vs. Rest): 2.34 [1.55, 3.53] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_LASSOSUM_MGI_20200608 |
| PPM001101 | PGS000416 (PRSWEB_PHECODE172.1_C43_P_5e-08_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.473 [1.394, 1.557] β: 0.388 (0.0282) |
AUROC: 0.598 [0.582, 0.613] | Nagelkerke's Pseudo-R²: 0.0297 Brier score: 0.0952 Odds Ratio (OR, top 1% vs. Rest): 2.88 [1.96, 4.21] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C43_P_5e-08_MGI_20200608 |
| PPM001102 | PGS000417 (PRSWEB_PHECODE172.1_C43_PRS-CS_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.228 [1.159, 1.3] β: 0.205 (0.0294) |
AUROC: 0.556 [0.541, 0.571] | Nagelkerke's Pseudo-R²: 0.00812 Brier score: 0.0965 Odds Ratio (OR, top 1% vs. Rest): 1.88 [1.2, 2.95] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C43_PRS-CS_MGI_20200608 |
| PPM001103 | PGS000418 (PRSWEB_PHECODE172.1_C43_PT_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.473 [1.394, 1.557] β: 0.388 (0.0282) |
AUROC: 0.598 [0.582, 0.613] | Nagelkerke's Pseudo-R²: 0.0297 Brier score: 0.0952 Odds Ratio (OR, top 1% vs. Rest): 2.88 [1.96, 4.21] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C43_PT_MGI_20200608 |
| PPM001104 | PGS000419 (PRSWEB_PHECODE172.1_C43_LASSOSUM_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.348 [1.279, 1.421] β: 0.299 (0.0268) |
AUROC: 0.565 [0.549, 0.583] | Nagelkerke's Pseudo-R²: 0.0188 Brier score: 0.0959 Odds Ratio (OR, top 1% vs. Rest): 1.93 [1.24, 3.0] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C43_LASSOSUM_MGI_20200608 |
| PPM001105 | PGS000420 (PRSWEB_PHECODE172.1_D03_PT_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.066 [1.007, 1.128] β: 0.0639 (0.029) |
AUROC: 0.516 [0.5, 0.533] | Nagelkerke's Pseudo-R²: 0.00074 Brier score: 0.0969 Odds Ratio (OR, top 1% vs. Rest): 1.07 [0.603, 1.9] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_D03_PT_MGI_20200608 |
| PPM001106 | PGS000421 (PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.453 [1.37, 1.541] β: 0.374 (0.03) |
AUROC: 0.6 [0.584, 0.616] | Nagelkerke's Pseudo-R²: 0.0257 Brier score: 0.0955 Odds Ratio (OR, top 1% vs. Rest): 2.39 [1.58, 3.61] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_MGI_20200608 |
| PPM001107 | PGS000422 (PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_UKB_20200608) |
PSS000567| European Ancestry| 14,482 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.539 [1.454, 1.629] β: 0.431 (0.029) |
AUROC: 0.615 [0.599, 0.63] | Nagelkerke's Pseudo-R²: 0.0332 Brier score: 0.0813 Odds Ratio (OR, top 1% vs. Rest): 2.57 [1.75, 3.77] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_UKB_20200608 |
| PPM001108 | PGS000423 (PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | β: 0.394 (0.0301) OR: 1.484 [1.399, 1.574] |
AUROC: 0.608 [0.592, 0.623] | Nagelkerke's Pseudo-R²: 0.0289 Brier score: 0.0954 Odds Ratio (OR, top 1% vs. Rest): 2.93 [2.0, 4.3] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_MGI_20200608 |
| PPM001109 | PGS000424 (PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_UKB_20200608) |
PSS000567| European Ancestry| 14,482 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.563 [1.475, 1.656] β: 0.447 (0.0294) |
AUROC: 0.619 [0.603, 0.634] | Nagelkerke's Pseudo-R²: 0.035 Brier score: 0.0812 Odds Ratio (OR, top 1% vs. Rest): 3.12 [2.18, 4.47] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_UKB_20200608 |
| PPM001110 | PGS000425 (PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.453 [1.369, 1.542] β: 0.374 (0.0304) |
AUROC: 0.601 [0.585, 0.617] | Nagelkerke's Pseudo-R²: 0.0255 Brier score: 0.0955 Odds Ratio (OR, top 1% vs. Rest): 2.54 [1.7, 3.8] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_MGI_20200608 |
| PPM001111 | PGS000426 (PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_UKB_20200608) |
PSS000567| European Ancestry| 14,482 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.551 [1.463, 1.643] β: 0.439 (0.0296) |
AUROC: 0.62 [0.604, 0.635] | Nagelkerke's Pseudo-R²: 0.0335 Brier score: 0.0813 Odds Ratio (OR, top 1% vs. Rest): 2.81 [1.93, 4.07] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_UKB_20200608 |
| PPM001112 | PGS000427 (PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.453 [1.369, 1.542] β: 0.374 (0.0304) |
AUROC: 0.601 [0.585, 0.617] | Nagelkerke's Pseudo-R²: 0.0255 Brier score: 0.0955 Odds Ratio (OR, top 1% vs. Rest): 2.54 [1.7, 3.8] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_MGI_20200608 |
| PPM001113 | PGS000428 (PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_UKB_20200608) |
PSS000567| European Ancestry| 14,482 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.551 [1.463, 1.643] β: 0.439 (0.0296) |
AUROC: 0.62 [0.604, 0.635] | Nagelkerke's Pseudo-R²: 0.0335 Brier score: 0.0813 Odds Ratio (OR, top 1% vs. Rest): 2.81 [1.93, 4.07] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_UKB_20200608 |
| PPM001114 | PGS000429 (PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_P_5e-08_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.503 [1.422, 1.589] β: 0.408 (0.0284) |
AUROC: 0.606 [0.591, 0.622] | Nagelkerke's Pseudo-R²: 0.0332 Brier score: 0.0951 Odds Ratio (OR, top 1% vs. Rest): 2.62 [1.77, 3.88] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_P_5e-08_MGI_20200608 |
| PPM001115 | PGS000430 (PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PRS-CS_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.219 [1.151, 1.292] β: 0.198 (0.0296) |
AUROC: 0.555 [0.54, 0.573] | Nagelkerke's Pseudo-R²: 0.00721 Brier score: 0.0965 Odds Ratio (OR, top 1% vs. Rest): 1.64 [1.01, 2.66] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PRS-CS_MGI_20200608 |
| PPM001116 | PGS000431 (PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PT_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.486 [1.405, 1.571] β: 0.396 (0.0285) |
AUROC: 0.604 [0.587, 0.62] | Nagelkerke's Pseudo-R²: 0.0312 Brier score: 0.0952 Odds Ratio (OR, top 1% vs. Rest): 2.97 [2.04, 4.34] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PT_MGI_20200608 |
| PPM001117 | PGS000432 (PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_LASSOSUM_MGI_20200608) |
PSS000543| European Ancestry| 11,974 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Melanomas of skin, dx or hx | OR: 1.391 [1.318, 1.467] β: 0.33 (0.0273) |
AUROC: 0.582 [0.566, 0.599] | Nagelkerke's Pseudo-R²: 0.0228 Brier score: 0.0957 Odds Ratio (OR, top 1% vs. Rest): 1.99 [1.29, 3.07] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_LASSOSUM_MGI_20200608 |
| PPM001229 | PGS000544 (PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_P_5e-08_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.12 [1.021, 1.23] β: 0.114 (0.0475) |
AUROC: 0.532 [0.506, 0.559] | Nagelkerke's Pseudo-R²: 0.00239 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 0.923 [0.347, 2.45] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_P_5e-08_UKB_20200608 |
| PPM001230 | PGS000545 (PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_PT_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.12 [1.021, 1.23] β: 0.114 (0.0475) |
AUROC: 0.532 [0.506, 0.559] | Nagelkerke's Pseudo-R²: 0.00239 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 0.923 [0.347, 2.45] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_PT_UKB_20200608 |
| PPM001231 | PGS000546 (PRSWEB_PHECODE184.11_Phelan-ENOC_PRS-CS_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.119 [1.017, 1.231] β: 0.112 (0.0488) |
AUROC: 0.526 [0.498, 0.554] | Nagelkerke's Pseudo-R²: 0.00221 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 1.97 [0.973, 4.0] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-ENOC_PRS-CS_UKB_20200608 |
| PPM001232 | PGS000547 (PRSWEB_PHECODE184.11_Phelan-EPOC_P_5e-08_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.156 [1.051, 1.27] β: 0.145 (0.0482) |
AUROC: 0.544 [0.517, 0.573] | Nagelkerke's Pseudo-R²: 0.00379 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 0.922 [0.347, 2.45] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-EPOC_P_5e-08_UKB_20200608 |
| PPM001233 | PGS000548 (PRSWEB_PHECODE184.11_Phelan-EPOC_LASSOSUM_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.132 [1.03, 1.244] β: 0.124 (0.0483) |
AUROC: 0.538 [0.512, 0.565] | Nagelkerke's Pseudo-R²: 0.00277 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 1.13 [0.463, 2.77] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-EPOC_LASSOSUM_UKB_20200608 |
| PPM001234 | PGS000549 (PRSWEB_PHECODE184.11_Phelan-IEOC_P_5e-08_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.263 [1.15, 1.387] β: 0.234 (0.0479) |
AUROC: 0.567 [0.539, 0.595] | Nagelkerke's Pseudo-R²: 0.00996 Brier score: 0.0824 Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-IEOC_P_5e-08_UKB_20200608 |
| PPM001235 | PGS000550 (PRSWEB_PHECODE184.11_Phelan-IEOC_PRS-CS_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.286 [1.169, 1.414] β: 0.251 (0.0485) |
AUROC: 0.568 [0.542, 0.595] | Nagelkerke's Pseudo-R²: 0.0113 Brier score: 0.0823 Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.838, 3.7] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-IEOC_PRS-CS_UKB_20200608 |
| PPM001236 | PGS000551 (PRSWEB_PHECODE184.11_Phelan-IEOC_PT_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.234 [1.125, 1.354] β: 0.21 (0.0473) |
AUROC: 0.558 [0.53, 0.586] | Nagelkerke's Pseudo-R²: 0.00819 Brier score: 0.0824 Odds Ratio (OR, top 1% vs. Rest): 1.55 [0.71, 3.38] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-IEOC_PT_UKB_20200608 |
| PPM001237 | PGS000552 (PRSWEB_PHECODE184.11_Phelan-IEOC_LASSOSUM_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.19 [1.084, 1.308] β: 0.174 (0.048) |
AUROC: 0.552 [0.523, 0.58] | Nagelkerke's Pseudo-R²: 0.00552 Brier score: 0.0825 Odds Ratio (OR, top 1% vs. Rest): 1.97 [0.97, 3.99] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-IEOC_LASSOSUM_UKB_20200608 |
| PPM001238 | PGS000553 (PRSWEB_PHECODE184.11_Phelan-LSASBOC_P_5e-08_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.188 [1.079, 1.308] β: 0.172 (0.0491) |
AUROC: 0.556 [0.53, 0.584] | Nagelkerke's Pseudo-R²: 0.00531 Brier score: 0.0825 Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-LSASBOC_P_5e-08_UKB_20200608 |
| PPM001239 | PGS000554 (PRSWEB_PHECODE184.11_Phelan-LSASBOC_PRS-CS_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.11 [1.009, 1.221] β: 0.104 (0.0486) |
AUROC: 0.522 [0.491, 0.548] | Nagelkerke's Pseudo-R²: 0.00193 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 3.92 [2.27, 6.79] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-LSASBOC_PRS-CS_UKB_20200608 |
| PPM001240 | PGS000555 (PRSWEB_PHECODE184.11_Phelan-LSASBOC_PT_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.133 [1.03, 1.245] β: 0.125 (0.0483) |
AUROC: 0.539 [0.513, 0.568] | Nagelkerke's Pseudo-R²: 0.00282 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 2.18 [1.11, 4.3] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-LSASBOC_PT_UKB_20200608 |
| PPM001241 | PGS000556 (PRSWEB_PHECODE184.11_Phelan-LSASBOC_LASSOSUM_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.122 [1.022, 1.233] β: 0.116 (0.0478) |
AUROC: 0.516 [0.489, 0.544] | Nagelkerke's Pseudo-R²: 0.00242 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 2.4 [1.24, 4.62] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-LSASBOC_LASSOSUM_UKB_20200608 |
| PPM001242 | PGS000557 (PRSWEB_PHECODE184.11_Phelan-OCCC_PRS-CS_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.149 [1.045, 1.262] β: 0.139 (0.048) |
AUROC: 0.534 [0.508, 0.562] | Nagelkerke's Pseudo-R²: 0.00348 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 1.55 [0.71, 3.38] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-OCCC_PRS-CS_UKB_20200608 |
| PPM001243 | PGS000558 (PRSWEB_PHECODE184.11_Phelan-OCCC_LASSOSUM_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.207 [1.102, 1.321] β: 0.188 (0.0463) |
AUROC: 0.546 [0.52, 0.574] | Nagelkerke's Pseudo-R²: 0.00676 Brier score: 0.0824 Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-OCCC_LASSOSUM_UKB_20200608 |
| PPM001244 | PGS000559 (PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_MGI_20200608) |
PSS000550| European Ancestry| 1,904 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.183 [1.015, 1.378] β: 0.168 (0.078) |
AUROC: 0.554 [0.509, 0.597] | Nagelkerke's Pseudo-R²: 0.00516 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 0.784 [0.142, 4.32] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_MGI_20200608 |
| PPM001245 | PGS000560 (PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.233 [1.125, 1.352] β: 0.21 (0.047) |
AUROC: 0.552 [0.523, 0.581] | Nagelkerke's Pseudo-R²: 0.00819 Brier score: 0.0824 Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_UKB_20200608 |
| PPM001246 | PGS000561 (PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_MGI_20200608) |
PSS000550| European Ancestry| 1,904 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.185 [1.011, 1.39] β: 0.17 (0.0812) |
AUROC: 0.552 [0.513, 0.598] | Nagelkerke's Pseudo-R²: 0.00517 Brier score: 0.0827 |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_MGI_20200608 |
| PPM001247 | PGS000562 (PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.209 [1.099, 1.329] β: 0.19 (0.0484) |
AUROC: 0.552 [0.526, 0.58] | Nagelkerke's Pseudo-R²: 0.00646 Brier score: 0.0825 Odds Ratio (OR, top 1% vs. Rest): 1.55 [0.708, 3.38] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_UKB_20200608 |
| PPM001248 | PGS000563 (PRSWEB_PHECODE184.11_Phelan-SIOC_PT_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.192 [1.086, 1.308] β: 0.175 (0.0476) |
AUROC: 0.547 [0.52, 0.574] | Brier score: 0.0826 Nagelkerke's Pseudo-R²: 0.00564 Odds Ratio (OR, top 1% vs. Rest): 0.511 [0.142, 1.84] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_PT_UKB_20200608 |
| PPM001249 | PGS000564 (PRSWEB_PHECODE184.11_Phelan-SIOC_LASSOSUM_UKB_20200608) |
PSS000572| European Ancestry| 5,196 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of ovary | OR: 1.215 [1.106, 1.336] β: 0.195 (0.0481) |
AUROC: 0.556 [0.529, 0.583] | Nagelkerke's Pseudo-R²: 0.00692 Brier score: 0.0825 Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_LASSOSUM_UKB_20200608 |
| PPM001280 | PGS000595 (PRSWEB_PHECODE187.2_20001-1045_P_5e-08_MGI_20200608) |
PSS000553| European Ancestry| 755 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 1.713 [1.33, 2.206] β: 0.538 (0.129) |
AUROC: 0.658 [0.594, 0.719] | Nagelkerke's Pseudo-R²: 0.0543 Brier score: 0.0838 Odds Ratio (OR, top 1% vs. Rest): 2.64 [0.535, 13.0] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_20001-1045_P_5e-08_MGI_20200608 |
| PPM001281 | PGS000596 (PRSWEB_PHECODE187.2_20001-1045_PT_MGI_20200608) |
PSS000553| European Ancestry| 755 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 1.68 [1.28, 2.206] β: 0.519 (0.139) |
AUROC: 0.649 [0.586, 0.714] | Nagelkerke's Pseudo-R²: 0.0475 Brier score: 0.0841 Odds Ratio (OR, top 1% vs. Rest): 3.49 [0.816, 14.9] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_20001-1045_PT_MGI_20200608 |
| PPM001282 | PGS000597 (PRSWEB_PHECODE187.2_20001-1045_LASSOSUM_MGI_20200608) |
PSS000553| European Ancestry| 755 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 1.667 [1.296, 2.143] β: 0.511 (0.128) |
AUROC: 0.656 [0.593, 0.717] | Nagelkerke's Pseudo-R²: 0.0487 Brier score: 0.084 Odds Ratio (OR, top 1% vs. Rest): 2.72 [0.568, 13.1] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_20001-1045_LASSOSUM_MGI_20200608 |
| PPM001283 | PGS000598 (PRSWEB_PHECODE187.2_C3-TESTIS_P_5e-08_MGI_20200608) |
PSS000553| European Ancestry| 755 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 1.639 [1.263, 2.126] β: 0.494 (0.133) |
AUROC: 0.648 [0.581, 0.712] | Nagelkerke's Pseudo-R²: 0.0447 Brier score: 0.0841 Odds Ratio (OR, top 1% vs. Rest): 3.85 [0.942, 15.7] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_C3-TESTIS_P_5e-08_MGI_20200608 |
| PPM001284 | PGS000599 (PRSWEB_PHECODE187.2_C3-TESTIS_PT_MGI_20200608) |
PSS000553| European Ancestry| 755 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 1.628 [1.281, 2.069] β: 0.487 (0.122) |
AUROC: 0.637 [0.568, 0.703] | Nagelkerke's Pseudo-R²: 0.0473 Brier score: 0.0844 Odds Ratio (OR, top 1% vs. Rest): 4.35 [1.08, 17.5] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_C3-TESTIS_PT_MGI_20200608 |
| PPM001285 | PGS000600 (PRSWEB_PHECODE187.2_C3-TESTIS_LASSOSUM_MGI_20200608) |
PSS000553| European Ancestry| 755 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 1.619 [1.267, 2.067] β: 0.482 (0.125) |
AUROC: 0.636 [0.565, 0.698] | Nagelkerke's Pseudo-R²: 0.046 Brier score: 0.0839 Odds Ratio (OR, top 1% vs. Rest): 6.35 [1.81, 22.3] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_C3-TESTIS_LASSOSUM_MGI_20200608 |
| PPM001286 | PGS000601 (PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_MGI_20200608) |
PSS000553| European Ancestry| 755 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 1.438 [1.132, 1.827] β: 0.363 (0.122) |
AUROC: 0.598 [0.526, 0.672] | Nagelkerke's Pseudo-R²: 0.0258 Brier score: 0.085 |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_MGI_20200608 |
| PPM001287 | PGS000602 (PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_UKB_20200608) |
PSS000574| European Ancestry| 1,484 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 2.055 [1.692, 2.496] β: 0.72 (0.0993) |
AUROC: 0.698 [0.656, 0.74] | Nagelkerke's Pseudo-R²: 0.0839 Brier score: 0.0795 Odds Ratio (OR, top 1% vs. Rest): 4.6 [1.75, 12.1] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_UKB_20200608 |
| PPM001288 | PGS000603 (PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_MGI_20200608) |
PSS000553| European Ancestry| 755 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 1.625 [1.27, 2.079] β: 0.485 (0.126) |
AUROC: 0.625 [0.557, 0.693] | Nagelkerke's Pseudo-R²: 0.044 Brier score: 0.084 Odds Ratio (OR, top 1% vs. Rest): 6.05 [1.73, 21.2] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_MGI_20200608 |
| PPM001289 | PGS000604 (PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_UKB_20200608) |
PSS000574| European Ancestry| 1,484 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of testis | OR: 2.106 [1.729, 2.565] β: 0.745 (0.101) |
AUROC: 0.703 [0.659, 0.745] | Brier score: 0.0793 Nagelkerke's Pseudo-R²: 0.0882 Odds Ratio (OR, top 1% vs. Rest): 4.6 [1.75, 12.1] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_UKB_20200608 |
| PPM001311 | PGS000626 (PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.161 [1.048, 1.285] β: 0.149 (0.052) |
AUROC: 0.529 [0.496, 0.559] | Nagelkerke's Pseudo-R²: 0.0041 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 2.44 [1.18, 5.02] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608 |
| PPM001312 | PGS000627 (PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.27 [1.148, 1.405] β: 0.239 (0.0515) |
AUROC: 0.56 [0.53, 0.59] | Nagelkerke's Pseudo-R²: 0.0107 Brier score: 0.0824 Odds Ratio (OR, top 1% vs. Rest): 2.42 [1.17, 4.98] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608 |
| PPM001313 | PGS000628 (PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.276 [1.155, 1.41] β: 0.244 (0.0509) |
AUROC: 0.565 [0.535, 0.595] | Nagelkerke's Pseudo-R²: 0.0114 Brier score: 0.0823 Odds Ratio (OR, top 1% vs. Rest): 1.91 [0.861, 4.22] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608 |
| PPM001314 | PGS000629 (PRSWEB_PHECODE193_C73_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | β: 0.114 (0.0517) OR: 1.121 [1.013, 1.24] |
AUROC: 0.52 [0.488, 0.55] | Nagelkerke's Pseudo-R²: 0.00247 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 2.15 [1.01, 4.59] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C73_PT_MGI_20200608 |
| PPM001315 | PGS000630 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.598 [1.439, 1.775] β: 0.469 (0.0536) |
AUROC: 0.626 [0.597, 0.655] | Nagelkerke's Pseudo-R²: 0.0393 Brier score: 0.0811 Odds Ratio (OR, top 1% vs. Rest): 3.53 [1.87, 6.66] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608 |
| PPM001316 | PGS000631 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608) |
PSS000579| European Ancestry| 1,778 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.651 [1.41, 1.934] β: 0.501 (0.0806) |
AUROC: 0.636 [0.589, 0.682] | Nagelkerke's Pseudo-R²: 0.0478 Brier score: 0.0803 Odds Ratio (OR, top 1% vs. Rest): 4.4 [1.81, 10.7] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608 |
| PPM001317 | PGS000632 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.568 [1.412, 1.74] β: 0.45 (0.0532) |
AUROC: 0.618 [0.587, 0.647] | Nagelkerke's Pseudo-R²: 0.0365 Brier score: 0.0812 Odds Ratio (OR, top 1% vs. Rest): 5.14 [2.94, 8.99] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608 |
| PPM001318 | PGS000633 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608) |
PSS000579| European Ancestry| 1,778 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.609 [1.38, 1.876] β: 0.476 (0.0783) |
AUROC: 0.628 [0.582, 0.675] | Nagelkerke's Pseudo-R²: 0.0447 Brier score: 0.0804 Odds Ratio (OR, top 1% vs. Rest): 4.41 [1.81, 10.7] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608 |
| PPM001319 | PGS000634 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.119 [1.008, 1.241] β: 0.112 (0.053) |
AUROC: 0.535 [0.504, 0.567] | Nagelkerke's Pseudo-R²: 0.00228 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 1.39 [0.562, 3.45] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608 |
| PPM001320 | PGS000635 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.315 [1.194, 1.448] β: 0.274 (0.0492) |
AUROC: 0.569 [0.538, 0.598] | Nagelkerke's Pseudo-R²: 0.0151 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 1.65 [0.708, 3.83] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608 |
| PPM001321 | PGS000636 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.385 [1.254, 1.529] β: 0.325 (0.0507) |
AUROC: 0.578 [0.548, 0.607] | Nagelkerke's Pseudo-R²: 0.0205 Brier score: 0.0819 Odds Ratio (OR, top 1% vs. Rest): 3.21 [1.67, 6.15] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608 |
| PPM001341 | PGS000655 (NAFLD-10) |
PSS000584| European Ancestry| 235 individuals |
PGP000119 | Namjou B et al. BMC Med (2019) |
Reported Trait: Nonalcoholic fatty liver disease severity (NAFLD activity score above 5) | — | AUROC: 0.724 | Odds Ratio (OR, highest vs. lowest quintile): 8.5 [3.45, 20.96] | sex, age, PCs (1-3), BMI, study site/medical centre | — |
| PPM001340 | PGS000655 (NAFLD-10) |
PSS000583| European Ancestry| 9,677 individuals |
PGP000119 | Namjou B et al. BMC Med (2019) |
Reported Trait: Nonalcoholic fatty liver disease | — | AUROC: 0.596 | Odds Ratio (OR, highest vs. lowest quintile): 2.16 [1.81, 2.58] | sex, age, PCs (1-3), BMI, study site/medical centre | — |
| PPM001367 | PGS000663 (wGRS22) |
PSS000598| European Ancestry| 1,591 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer | OR: 1.37 [1.23, 1.53] | — | — | — | Cross validation approach-testing sample = 20% |
| PPM001368 | PGS000663 (wGRS22) |
PSS000597| European Ancestry| 956 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer (0-10 years of follow-up) | OR: 1.46 [1.27, 1.68] | — | — | — | Cross validation approach-testing sample = 20% |
| PPM001369 | PGS000663 (wGRS22) |
PSS000598| European Ancestry| 1,591 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer | OR: 1.37 [1.22, 1.53] | AUROC: 0.65 | — | matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status | Cross validation approach-testing sample = 20% |
| PPM001370 | PGS000663 (wGRS22) |
PSS000597| European Ancestry| 956 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer (0-10 years of follow-up) | OR: 1.44 [1.25, 1.67] | AUROC: 0.67 | — | matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status | Cross validation approach-testing sample = 20% |
| PPM001596 | PGS000704 (HC171) |
PSS000792| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alcoholic cirrhosis | — | AUROC: 0.55471 | — | Age, sex, PCs(1-10) | — |
| PPM001607 | PGS000704 (HC171) |
PSS000793| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alcoholic cirrhosis | HR: 1.18 [1.11, 1.27] | C-index: 0.711 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001604 | PGS000712 (T2D_HbA1c_39) |
PSS000755| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68713 | — | Age, sex, PCs(1-10) | — |
| PPM001605 | PGS000713 (T2D) |
PSS000754| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.688 | — | Age, sex, PCs(1-10) | — |
| PPM001615 | PGS000713 (T2D) |
PSS000756| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | HR: 1.49 [1.47, 1.51] | C-index: 0.669 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001654 | PGS000724 (PRS_Ovary) |
PSS000858| European Ancestry| 400,812 individuals |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Reported Trait: Incident epithelial ovarian cancer | — | AUROC: 0.568 [0.537, 0.598] | — | Genotyping array | — |
| PPM001655 | PGS000725 (PRS_Pancreas) |
PSS000859| European Ancestry| 400,812 individuals |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Reported Trait: Incident Pancreatic cancer | — | AUROC: 0.639 [0.613, 0.664] | — | Genotyping array | — |
| PPM001656 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis | OR: 1.32 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 2.26 [1.87, 2.73] | Age, sex, PCs (1-5) | — |
| PPM001657 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Biopsy-confirmed cirrhosis | OR: 1.39 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 2.21 [1.59, 3.08] | Age, sex, PCs (1-5) | — |
| PPM001658 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Esophageal varices | OR: 1.45 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 3.1 [1.97, 4.9] | Age, sex, PCs (1-5) | — |
| PPM001659 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Hepatocellular carcioma | OR: 1.39 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 2.51 [1.59, 3.97] | Age, sex, PCs (1-5) | — |
| PPM001660 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Death from liver disease | OR: 1.29 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 2.03 [1.24, 3.32] | Age, sex, PCs (1-5) | — |
| PPM001661 | PGS000726 (PGS12_CIR) |
PSS000866| African Ancestry| 1,442 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis | — | — | Odds Ratio (OR, 20-80% vs. bottom 20%): 3.63 [1.55, 8.5] Odds Ratio (OR, top 20% risk vs. bottom 20%): 2.44 [0.92, 6.48] |
Age, sex, PCs (1-5) | — |
| PPM001662 | PGS000726 (PGS12_CIR) |
PSS000863| Ancestry Not Reported| 13,826 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis | — | — | Odds Ratio (OR, top 1% vs. bottom 20%): 3.16 [2.03, 4.9] | Age, sex, PCs (1-5) | — |
| PPM001663 | PGS000726 (PGS12_CIR) |
PSS000862| Ancestry Not Reported| 13,047 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Biopsy-confirmed cirrhosis | — | — | Odds Ratio (OR, top 1% vs. bottom 20%): 6.12 [3.55, 10.58] | Age, sex, PCs (1-5) | — |
| PPM001664 | PGS000726 (PGS12_CIR) |
PSS000864| European Ancestry| 213 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis in individuals with hepatitis B | — | — | Odds ratio (OR, top 20% vs. bottom 20%): 4.83 [1.12, 20.0] | Age, sex, PCs (1-5) | — |
| PPM001665 | PGS000726 (PGS12_CIR) |
PSS000865| European Ancestry| 661 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis in individuals with hepatitis C | — | — | Odds ratio (OR, top 20% vs. bottom 20%): 2.2 [1.2, 4.05] | Age, sex, PCs (1-5) | — |
| PPM001667 | PGS000729 (T2D_PGS) |
PSS000869| European Ancestry| 3,087 individuals |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Reported Trait: Incident type 2 diabetes | HR: 2.0 [1.36, 2.94] | — | — | age, sex, 10 genetic PCs | — |
| PPM001672 | PGS000732 (PRS_Melanoma) |
PSS000872| European Ancestry| 88,924 individuals |
PGP000138 | Fontanillas P et al. Nat Commun (2021) |
Reported Trait: Melanoma | OR: 1.33 [1.29, 1.37] | AUROC: 0.579 | — | — | — |
| PPM001827 | PGS000743 (PRS_melanoma) |
PSS000928| European Ancestry| 1,460 individuals |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Reported Trait: Melanoma | OR: 1.63 [1.46, 1.83] | — | Odds Ratio (OR, top vs. bottom tertile): 2.84 [2.14, 3.77] Odds Ratio (OR, top vs. bottom decile): 5.62 [3.41, 9.29] |
Age, sex, self reported European ancestry | Overlap between testing and score development samples, testing <10% of score development |
| PPM001829 | PGS000743 (PRS_melanoma) |
PSS000928| European Ancestry| 1,460 individuals |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Reported Trait: Melanoma | — | AUROC: 0.68 [0.65, 0.71] | — | Traditional risk factors (hair colour, skin colour, eye colour, freckling as an adult, skin photosensitivity, self reported nevi, sunbed use, keratinocyte cancer personal history, first degree family history of melanoma, vacation sun exposure, blistering sunburns as a child), age, sex, self-reported European ancestry | — |
| PPM001826 | PGS000743 (PRS_melanoma) |
PSS000927| European Ancestry| 1,035 individuals |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Reported Trait: Melanoma | OR: 1.75 [1.53, 2.01] | — | Odds Ratio (OR, top vs. bottom tertile): 3.22 [2.3, 4.51] Odds Ratio (OR, top vs. bottom decile): 5.88 [3.14, 11.03] |
Age, sex, recruitment city, self-reported European ancestry | Overlap between testing and score development samples, testing <10% of score development |
| PPM001828 | PGS000743 (PRS_melanoma) |
PSS000927| European Ancestry| 1,035 individuals |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Reported Trait: Melanoma | — | AUROC: 0.74 [0.71, 0.77] | — | Traditional risk factors (hair colour, skin colour, eye colour, freckling as an adult, skin photosensitivity, self reported nevi, sunbed use, keratinocyte cancer personal history, first degree family history of melanoma, vacation sun exposure, blistering sunburns as a child), age, sex, recruitment city, self-reported European ancestry | — |
| PPM001830 | PGS000744 (PRS_melanoma_pigment.pathway) |
PSS000927| European Ancestry| 1,035 individuals |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Reported Trait: Melanoma | OR: 1.71 [1.49, 1.96] | — | Odds Ratio (OR, top vs. bottom tertile): 3.11 [2.21, 4.36] Odds Ratio (OR, top vs. bottom decile): 5.75 [3.09, 10.72] |
Age, sex, recruitment city, self-reported European ancestry | — |
| PPM001831 | PGS000744 (PRS_melanoma_pigment.pathway) |
PSS000928| European Ancestry| 1,460 individuals |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Reported Trait: Melanoma | OR: 1.66 [1.49, 1.86] | — | Odds Ratio (OR, top vs. bottom tertile): 2.94 [2.23, 3.88] Odds Ratio (OR, top vs. bottom decile): 7.0 [4.12, 11.88] |
Age, sex, self reported European ancestry | — |
| PPM001832 | PGS000745 (PRS_melanoma_telomere.pathway) |
PSS000927| European Ancestry| 1,035 individuals |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Reported Trait: Melanoma | OR: 1.15 [1.01, 1.31] | — | Odds Ratio (OR, top vs. bottom tertile): 1.4 [1.01, 1.93] | Age, sex, recruitment city, self-reported European ancestry | — |
| PPM001833 | PGS000745 (PRS_melanoma_telomere.pathway) |
PSS000928| European Ancestry| 1,460 individuals |
PGP000151 | Cust AE et al. J Invest Dermatol (2018) |
Reported Trait: Melanoma | OR: 1.18 [1.06, 1.31] | — | Odds Ratio (OR, top vs. bottom tertile): 1.55 [1.19, 2.02] Odds Ratio (OR, top vs. bottom decile): 2.0 [1.24, 3.23] |
Age, sex, self reported European ancestry | — |
| PPM001934 | PGS000759 (hypoT) |
PSS000970| European Ancestry| 1,584 individuals |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients | HR: 1.52 [1.31, 1.74] | — | meta-analysis p-value: 7.52e-09 | 5 genotype PCs | — |
| PPM001936 | PGS000761 (LDpred2_hypoT_PRS) |
PSS000970| European Ancestry| 1,584 individuals |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients | HR: 1.49 [1.3, 1.71] | — | meta-analysis p-value: 5.49e-09 | 5 genotype PCs | — |
| PPM001963 | PGS000766 (PRS56_CM) |
PSS000982| European Ancestry| 12,712 individuals |
PGP000172 | Bakshi A et al. J Natl Cancer Inst (2021) |
Reported Trait: Incident cutaneous melanoma | — | — | Hazard Ratio (HR, top 20% vs bottom 20%): 2.51 [1.28, 4.92] | — | Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control. |
| PPM001964 | PGS000766 (PRS56_CM) |
PSS000982| European Ancestry| 12,712 individuals |
PGP000172 | Bakshi A et al. J Natl Cancer Inst (2021) |
Reported Trait: Incident cutaneous melanoma (males) | — | — | Hazard Ratio (HR, top 20% vs bottom 20%): 3.7 [1.37, 9.98] | — | Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control. |
| PPM001965 | PGS000766 (PRS56_CM) |
PSS000982| European Ancestry| 12,712 individuals |
PGP000172 | Bakshi A et al. J Natl Cancer Inst (2021) |
Reported Trait: Incident cutaneous melanoma (males) | — | — | Hazard Ratio (HR, middle 60% vs bottom 20%): 2.61 [1.03, 6.63] | — | Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control. |
| PPM001966 | PGS000766 (PRS56_CM) |
PSS000982| European Ancestry| 12,712 individuals |
PGP000172 | Bakshi A et al. J Natl Cancer Inst (2021) |
Reported Trait: Prevalent cutaneous melanoma | OR: 1.55 [1.42, 1.69] | AUROC: 0.64 [0.62, 0.66] | Odds Ratio (OR, top 20% vs bottom 20%): 3.66 [2.69, 5.05] | Sex, family history | Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control. |
| PPM001967 | PGS000766 (PRS56_CM) |
PSS000982| European Ancestry| 12,712 individuals |
PGP000172 | Bakshi A et al. J Natl Cancer Inst (2021) |
Reported Trait: Prevalent cutaneous melanoma (males) | OR: 1.39 [1.23, 1.57] | — | — | Family history | Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control. |
| PPM001968 | PGS000766 (PRS56_CM) |
PSS000982| European Ancestry| 12,712 individuals |
PGP000172 | Bakshi A et al. J Natl Cancer Inst (2021) |
Reported Trait: Prevalent cutaneous melanoma (females) | OR: 1.72 [1.53, 1.94] | — | — | Family history | Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control. |
| PPM001962 | PGS000766 (PRS56_CM) |
PSS000982| European Ancestry| 12,712 individuals |
PGP000172 | Bakshi A et al. J Natl Cancer Inst (2021) |
Reported Trait: Incident cutaneous melanoma | HR: 1.46 [1.2, 1.77] | C-index: 0.643 [0.584, 0.702] | — | Sex, melanoma family history, treatment (aspirin/placebo), age at enrolment, PRS*treatment | Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control. |
| PPM002011 | PGS000776 (GRS9_Cirr) |
PSS000996| Ancestry Not Reported| 107,014 individuals |
PGP000180 | Innes H et al. Gastroenterology (2020) |
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) | — | C-index: 0.62 [0.59, 0.64] | Hazard Ratio (HR, top 20% vs bottom 20%): 3.12 [2.37, 4.12] | — | — |
| PPM002012 | PGS000776 (GRS9_Cirr) |
PSS000996| Ancestry Not Reported| 107,014 individuals |
PGP000180 | Innes H et al. Gastroenterology (2020) |
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) | — | — | Hazard Ratio (HR, top 20% vs bottom 20%): 3.16 [2.38, 4.21] | Age, sex, BMI, diabetes, units of alcohol consumed per week | — |
| PPM002013 | PGS000776 (GRS9_Cirr) |
PSS000996| Ancestry Not Reported| 107,014 individuals |
PGP000180 | Innes H et al. Gastroenterology (2020) |
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) | — | C-index: 0.677 [0.653, 0.7] | — | Age, sex | — |
| PPM002061 | PGS000790 (CC_Melanoma_IV) |
PSS001018| European Ancestry| 392,803 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident melanoma | HR: 1.44 [1.37, 1.5] | AUROC: 0.654 C-index: 0.664 (0.008) |
R²: 0.18 | Age at assessment, sex, genotyping array, PCs(1-15), frequency of UV protection use (always vs. most times vs. never out in the sun vs. never), time outdoors in summer (hours per day), ease of tanning (very easily, vs. moderate vs mild vs. mostly burn) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002064 | PGS000793 (CC_Ovary_IV) |
PSS001021| European Ancestry| 211,958 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident ovarian cancer | HR: 1.2 [1.1, 1.32] | AUROC: 0.66 C-index: 0.654 (0.015) |
R²: 0.193 | Age at assessment, family history of breast cancer, genotyping array, PCs(1-15), parity ( ≥1 live birth vs. none), body mass index, Menopausal status (pre-menopausal vs. post-menopausal vs. unknown or hysterectomy), ever used hormone replacement therapy, oral contraceptive use (never used (0) vs. <20 years vs. ≥20 years), BMI*menopausal status | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002065 | PGS000794 (CC_Pancreas_IV) |
PSS001022| European Ancestry| 391,491 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident pancreatic cancer | HR: 1.49 [1.37, 1.63] | AUROC: 0.745 C-index: 0.743 (0.012) |
R²: 0.439 | Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002067 | PGS000796 (CC_Testis_IV) |
PSS001024| European Ancestry| 179,537 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident testicular cancer | HR: 2.26 [1.71, 2.99] | AUROC: 0.787 C-index: 0.766 (0.033) |
R²: 0.605 | Age at assessment, genotyping array, PCs(1-15) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002068 | PGS000797 (CC_Thyroid_IV) |
PSS001025| European Ancestry| 391,189 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident thyroid cancer | HR: 1.75 [1.53, 2.01] | AUROC: 0.701 C-index: 0.692 (0.022) |
R²: 0.31 | Age at assessment, sex,, genotyping array, PCs(1-15), body mass index (BMI <25 vs. 25≤BMI<30, BMI≥30) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002117 | PGS000804 (GRS582_T2Dmulti) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.568 [0.5588, 0.5772] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002119 | PGS000804 (GRS582_T2Dmulti) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.825 [0.8222, 0.8279] | Odds Ratio (OR, top 10% vs middle 20%): 2.94 [2.8, 3.08] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002121 | PGS000804 (GRS582_T2Dmulti) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6586 [0.6547, 0.6624] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002123 | PGS000804 (GRS582_T2Dmulti) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7293 [0.721, 0.7376] | Odds Ratio (OR, top 10% vs middle 20%): 2.39 [2.1, 2.73] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002125 | PGS000804 (GRS582_T2Dmulti) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6249 [0.6156, 0.6342] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002127 | PGS000804 (GRS582_T2Dmulti) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8411 [0.8298, 0.8523] | Odds Ratio (OR, top 10% vs middle 20%): 3.08 [2.4, 3.95] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002129 | PGS000804 (GRS582_T2Dmulti) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6263 [0.6101, 0.6425] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002131 | PGS000804 (GRS582_T2Dmulti) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7989 [0.7845, 0.8133] | Odds Ratio (OR, top 10% vs middle 20%): 2.02 [1.54, 2.65] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002133 | PGS000804 (GRS582_T2Dmulti) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6214 [0.603, 0.6399] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002115 | PGS000804 (GRS582_T2Dmulti) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6701 [0.6615, 0.6788] | Odds Ratio (OR, top 10% vs middle 20%): 1.57 [1.39, 1.77] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002120 | PGS000805 (GRS582_T2Deur) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8253 [0.8224, 0.8281] | Odds Ratio (OR, top 10% vs middle 20%): 2.95 [2.81, 3.1] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002122 | PGS000805 (GRS582_T2Deur) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6593 [0.6555, 0.6632] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002134 | PGS000805 (GRS582_T2Deur) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6213 [0.6029, 0.6397] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002132 | PGS000805 (GRS582_T2Deur) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7985 [0.7842, 0.8129] | Odds Ratio (OR, top 10% vs middle 20%): 2.13 [1.63, 2.79] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002116 | PGS000806 (GRS582_T2Dafr) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6656 [0.6569, 0.6743] | Odds Ratio (OR, top 10% vs middle 20%): 1.53 [1.36, 1.73] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002118 | PGS000806 (GRS582_T2Dafr) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.5592 [0.5499, 0.5684] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002128 | PGS000807 (GRS582_T2Dasn) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8388 [0.8274, 0.8502] | Odds Ratio (OR, top 10% vs middle 20%): 2.84 [2.21, 3.65] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002130 | PGS000807 (GRS582_T2Dasn) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6161 [0.5998, 0.6324] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002135 | PGS000807 (GRS582_T2Dasn) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7909 [0.7763, 0.8056] | Odds Ratio (OR, top 10% vs middle 20%): 1.62 [1.23, 2.14] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002136 | PGS000807 (GRS582_T2Dasn) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.5768 [0.558, 0.5956] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002124 | PGS000808 (GRS582_T2Dhis) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7202 [0.7118, 0.7286] | Odds Ratio (OR, top 10% vs middle 20%): 2.04 [1.79, 2.32] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002126 | PGS000808 (GRS582_T2Dhis) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6098 [0.6004, 0.6192] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002147 | PGS000813 (PRS46_melanoma) |
PSS001053| European Ancestry| 3,841 individuals |
PGP000197 | Potjer TP et al. J Med Genet (2020) |
Reported Trait: Familial cutaneous melanoma in non-carriers of a CDKN2A mutation | OR: 2.12 [1.9, 2.35] | AUROC: 0.77 [0.75, 0.79] | Odds ratio (OR, top 10% vs. middle 20%): 5.7 [3.93, 8.28] | Age, sex | — |
| PPM002148 | PGS000813 (PRS46_melanoma) |
PSS001053| European Ancestry| 3,841 individuals |
PGP000197 | Potjer TP et al. J Med Genet (2020) |
Reported Trait: Single familial cutaneous melanoma in non-carriers of a CDKN2A mutation | OR: 1.98 [1.77, 2.22] | — | — | Age, sex | — |
| PPM002149 | PGS000813 (PRS46_melanoma) |
PSS001053| European Ancestry| 3,841 individuals |
PGP000197 | Potjer TP et al. J Med Genet (2020) |
Reported Trait: Multiple familial cutaneous melanoma in non-carriers of a CDKN2A mutation | OR: 2.86 [2.3, 3.55] | — | — | Age, sex | — |
| PPM002193 | PGS000820 (PRS_hypothyroidism) |
PSS001068| European Ancestry| 51,070 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Spontaneous hypothyroidism | OR: 1.33 [1.29, 1.37] | AUROC: 0.6 | — | Age, sex, PCs(1-10) | — |
| PPM002195 | PGS000820 (PRS_hypothyroidism) |
PSS001070| Multi-ancestry (including European)| 744 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.34 [1.08, 1.66] | AUROC: 0.6 | — | Age, sex, PCs(1-10) | — |
| PPM002197 | PGS000820 (PRS_hypothyroidism) |
PSS001070| Multi-ancestry (including European)| 744 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Anti-PD-(L)1 monotherapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.34 [1.07, 1.69] | — | — | Age, sex, PCs(1-10) | — |
| PPM002199 | PGS000820 (PRS_hypothyroidism) |
PSS001069| Multi-ancestry (including European)| 561 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.39 [1.07, 1.82] | AUROC: 0.64 | — | Age, sex, PCs(1-10) | — |
| PPM002198 | PGS000820 (PRS_hypothyroidism) |
PSS001071| European Ancestry| 634 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.27 [1.02, 1.59] | — | — | Age, sex | — |
| PPM002240 | PGS000832 (T2D-GRS) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.24 [1.16, 1.34] | — | — | PC1-10 | — |
| PPM002242 | PGS000832 (T2D-GRS) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.77 [1.67, 1.88] | — | — | PC1-10 | — |
| PPM002239 | PGS000832 (T2D-GRS) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.96 [1.81, 2.12] | — | — | PC1-10 | — |
| PPM002238 | PGS000832 (T2D-GRS) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.28 [1.16, 1.42] | — | — | PC1-10 | — |
| PPM002241 | PGS000832 (T2D-GRS) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.73 [1.61, 1.86] | — | — | PC1-10 | — |
| PPM002243 | PGS000833 (T1D) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.39 [1.25, 1.54] | — | — | PC1-10 | — |
| PPM002246 | PGS000833 (T1D) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002247 | PGS000833 (T1D) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.02 [0.97, 1.07] | — | — | PC1-10 | — |
| PPM002244 | PGS000833 (T1D) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002245 | PGS000833 (T1D) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.03 [0.96, 1.11] | — | — | PC1-10 | — |
| PPM002323 | PGS000848 (T2D_Adiposity) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.11 [1.0, 1.23] | — | — | PC1-10 | — |
| PPM002324 | PGS000848 (T2D_Adiposity) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.1 [1.02, 1.18] | — | — | PC1-10 | — |
| PPM002325 | PGS000848 (T2D_Adiposity) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.11 [1.03, 1.19] | — | — | PC1-10 | — |
| PPM002326 | PGS000848 (T2D_Adiposity) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.2 [1.12, 1.28] | — | — | PC1-10 | — |
| PPM002327 | PGS000848 (T2D_Adiposity) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.06 [1.0, 1.12] | — | — | PC1-10 | — |
| PPM002329 | PGS000849 (T2D_Impaired_Lipids) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.07 [1.0, 1.15] | — | — | PC1-10 | — |
| PPM002330 | PGS000849 (T2D_Impaired_Lipids) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.09 [1.01, 1.17] | — | — | PC1-10 | — |
| PPM002331 | PGS000849 (T2D_Impaired_Lipids) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | — |
| PPM002332 | PGS000849 (T2D_Impaired_Lipids) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.06 [1.0, 1.12] | — | — | PC1-10 | — |
| PPM002328 | PGS000849 (T2D_Impaired_Lipids) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.08 [0.97, 1.2] | — | — | PC1-10 | — |
| PPM002333 | PGS000850 (T2D_Insulin_Action) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.08 [0.98, 1.2] | — | — | PC1-10 | — |
| PPM002334 | PGS000850 (T2D_Insulin_Action) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.17 [1.09, 1.25] | — | — | PC1-10 | — |
| PPM002335 | PGS000850 (T2D_Insulin_Action) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.17 [1.09, 1.26] | — | — | PC1-10 | — |
| PPM002337 | PGS000850 (T2D_Insulin_Action) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.16 [1.1, 1.23] | — | — | PC1-10 | — |
| PPM002336 | PGS000850 (T2D_Insulin_Action) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.14 [1.07, 1.22] | — | — | PC1-10 | — |
| PPM002338 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.24 [1.12, 1.37] | — | — | PC1-10 | — |
| PPM002339 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.23 [1.15, 1.32] | — | — | PC1-10 | — |
| PPM002340 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002341 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.19 [1.12, 1.28] | — | — | PC1-10 | — |
| PPM002342 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.19 [1.13, 1.26] | — | — | PC1-10 | — |
| PPM002343 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.01 [0.91, 1.12] | — | — | PC1-10 | — |
| PPM002344 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.31 [1.22, 1.41] | — | — | PC1-10 | — |
| PPM002345 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.12] | — | — | PC1-10 | — |
| PPM002347 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.29 [1.22, 1.37] | — | — | PC1-10 | — |
| PPM002346 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.26 [1.18, 1.35] | — | — | PC1-10 | — |
| PPM002348 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.99 [0.9, 1.1] | — | — | PC1-10 | — |
| PPM002349 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.26 [1.18, 1.36] | — | — | PC1-10 | — |
| PPM002350 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002351 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.18 [1.11, 1.27] | — | — | PC1-10 | — |
| PPM002352 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.23 [1.17, 1.3] | — | — | PC1-10 | — |
| PPM002353 | PGS000854 (T2D_BetaCell) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.0 [0.91, 1.11] | — | — | PC1-10 | — |
| PPM002354 | PGS000854 (T2D_BetaCell) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.32 [1.23, 1.42] | — | — | PC1-10 | — |
| PPM002355 | PGS000854 (T2D_BetaCell) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002357 | PGS000854 (T2D_BetaCell) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.27 [1.2, 1.34] | — | — | PC1-10 | — |
| PPM002356 | PGS000854 (T2D_BetaCell) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.21 [1.13, 1.3] | — | — | PC1-10 | — |
| PPM002358 | PGS000855 (T2D_Lipodystrophy) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.12 [1.01, 1.25] | — | — | PC1-10 | — |
| PPM002359 | PGS000855 (T2D_Lipodystrophy) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.23 [1.15, 1.33] | — | — | PC1-10 | — |
| PPM002360 | PGS000855 (T2D_Lipodystrophy) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.15 [1.07, 1.24] | — | — | PC1-10 | — |
| PPM002361 | PGS000855 (T2D_Lipodystrophy) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.14 [1.06, 1.22] | — | — | PC1-10 | — |
| PPM002362 | PGS000855 (T2D_Lipodystrophy) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.18 [1.11, 1.24] | — | — | PC1-10 | — |
| PPM002363 | PGS000856 (T2D_LiverLipids) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.35 [1.22, 1.51] | — | — | PC1-10 | — |
| PPM002364 | PGS000856 (T2D_LiverLipids) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002366 | PGS000856 (T2D_LiverLipids) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002367 | PGS000856 (T2D_LiverLipids) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.95 [0.9, 1.01] | — | — | PC1-10 | — |
| PPM002365 | PGS000856 (T2D_LiverLipids) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.97 [0.91, 1.05] | — | — | PC1-10 | — |
| PPM002368 | PGS000857 (T2D_Obesity) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.07 [0.97, 1.19] | — | — | PC1-10 | — |
| PPM002369 | PGS000857 (T2D_Obesity) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.08 [1.01, 1.16] | — | — | PC1-10 | — |
| PPM002370 | PGS000857 (T2D_Obesity) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.13 [1.05, 1.22] | — | — | PC1-10 | — |
| PPM002371 | PGS000857 (T2D_Obesity) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021)</ |