PGS Catalog - endocrine system disease [EFO:0001379] (Polygenic Trait)

Trait: endocrine system disease

Experimental Factor Ontology (EFO) Information
Identifier	EFO_0001379
Description	A disease involving the endocrine system.
Trait category	Other disease
Synonyms	46 synonyms DIS ENDOCRINE SYSTEM Disease of endocrine gland Disease, Endocrine Disease, Endocrine System Diseases of Endocrine System Diseases, Endocrine Diseases, Endocrine System Disorder of endocrine gland Disorder of endocrine system Disorder of endocrine system (disorder) ENDOCRINE DIS ENDOCRINE DISORDER NOS ENDOCRINE DISORDERS ENDOCRINE SYSTEM DIS Endocrine Diseases Endocrine Diseases and Manifestations Endocrine System Diseases Endocrine System Disorder Endocrine disease Endocrine disorder Endocrine disorder NOS (disorder) Endocrine disturbance Endocrine disturbance NOS Endocrine disturbance NOS (disorder) Endocrine gland disease NOS Endocrine gland disease NOS (disorder) Endocrinopathy Endocrinopathy, NOS Hormone abnormality Hormone abnormality (finding) Hormone disorders Hormone disturbance Hormone disturbance NOS System Disease, Endocrine System Diseases, Endocrine Unspecified endocrine disorder disease of endocrine system disease or disorder of endocrine system disorder of endocrine system endocrine disease endocrine disorder endocrine system disease endocrine system disease or disorder endocrine system disorder endocrinopathy thyroid or other glandular disorders
Mapped terms	14 mapped terms DOID:28 ICD10:E34 ICD9:259.8 ICD9:259.9 MESH:D004700 MONDO:0005151 MeSH:D004700 NCIT:C3009 NCIt:C27565 NCIt:C3009 SCTID:362969004 SNOMEDCT:362969004 SNOMEDCT:84452004 UMLS:C0014130
Child trait(s)	27 child traits Hyperthyroidism Testicular Germ Cell Tumor Thyrotoxicosis alcoholic liver cirrhosis cirrhosis of liver cutaneous melanoma diabetes mellitus gestational diabetes high grade ovarian serous adenocarcinoma hypothyroidism liver disease melanoma multinodular goiter myxedema non-alcoholic fatty liver disease nontoxic goiter ovarian carcinoma ovarian neoplasm ovarian serous carcinoma pancreas disease pancreatic carcinoma pancreatic ductal adenocarcinoma testicular carcinoma thyroid carcinoma thyroid disease type 1 diabetes mellitus type 2 diabetes mellitus

Associated Polygenic Score(s)

Note: This table shows all PGS for "endocrine system disease" and any child terms of this trait in the EFO hierarchy by default. Include PGS Score(s) for 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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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
PGS002308 (PRScsx_T2D)	PGP000331 \| Ge T et al. Genome Med (2022)	Type 2 diabetes	type 2 diabetes mellitus	1,259,754	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002308/ScoringFiles/PGS002308.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
PGS002733 (GRS17_T2D)	PGP000342 \| Pezzilli S et al. Diabetes Metab (2022)	Type 2 diabetes	type 2 diabetes mellitus	17	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002733/ScoringFiles/PGS002733.txt.gz
PGS002740 (PRS22_PC)	PGP000347 \| Yuan C et al. Ann Oncol (2022)	Pancreatic cancer	pancreatic carcinoma	22	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002740/ScoringFiles/PGS002740.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM014803	PGS000024 (GRS2)	PSS009893\| African Ancestry\| 366 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.851 [0.805, 0.897]	—	—	—
PPM014805	PGS000024 (GRS2)	PSS009894\| Hispanic or Latin American Ancestry\| 412 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.935 [0.906, 0.964]	—	—	—
PPM014807	PGS000024 (GRS2)	PSS009896\| Ancestry Not Reported\| 99 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.79 [0.679, 0.902]	—	—	—
PPM014801	PGS000024 (GRS2)	PSS009895\| European Ancestry\| 1,168 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.864 [0.823, 0.905]	—	—	—
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	—
PPM014804	PGS000036 (gePS_T2D)	PSS009893\| African Ancestry\| 366 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.574 [0.506, 0.643]	—	—	—
PPM014806	PGS000036 (gePS_T2D)	PSS009894\| Hispanic or Latin American Ancestry\| 412 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.722 [0.667, 0.778]	—	—	—
PPM014808	PGS000036 (gePS_T2D)	PSS009896\| Ancestry Not Reported\| 99 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.677 [0.532, 0.822]	—	—	—
PPM014802	PGS000036 (gePS_T2D)	PSS009895\| European Ancestry\| 1,168 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.661 [0.606, 0.716]	—	—	—
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]	—	—	P