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

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "endocrine system disease" and any child terms of this trait in the EFO hierarchy by default.
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
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
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
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
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
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
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
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
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
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
PGS001174
(GBE_HC1125)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Cholelithiasis (time-to-event) cholelithiasis 970
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001174/ScoringFiles/PGS001174.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
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
PGS001794
(1kgeur_gbmi_leaveUKBBout_ThC_pst_eff_a1_b0.5_phiauto)
PGP000262 |
Wang Y et al. Cell Genom (2023)
Thyroid cancer thyroid carcinoma 911,462
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001794/ScoringFiles/PGS001794.txt.gz
PGS001799
(1kgeur_gbmi_ThC_pst_eff_a1_b0.5_phiauto)
PGP000262 |
Wang Y et al. Cell Genom (2023)
Thyroid cancer thyroid carcinoma 885,482
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001799/ScoringFiles/PGS001799.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
PGS001861
(portability-PLR_574)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Cholelithiasis and cholecystitis cholelithiasis,
Cholecystitis
2,059
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001861/ScoringFiles/PGS001861.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
PGS002072
(portability-ldpred2_574)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Cholelithiasis and cholecystitis cholelithiasis,
Cholecystitis
428,587
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002072/ScoringFiles/PGS002072.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
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
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
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
PGS002766
(Hypothyroidism_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Hypothyroidism hypothyroidism 1,092,122
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002766/ScoringFiles/PGS002766.txt.gz
PGS002771
(Type_2_diabetes_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 1,091,608
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002771/ScoringFiles/PGS002771.txt.gz
PGS002779
(GTG_T2D_maxCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident type 2 diabetes type 2 diabetes mellitus 46,353
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002779/ScoringFiles/PGS002779.txt.gz - Check Terms/Licenses
PGS002780
(GTG_T2D_SCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident type 2 diabetes type 2 diabetes mellitus 419,209
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002780/ScoringFiles/PGS002780.txt.gz - Check Terms/Licenses
PGS003089
(ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 488,969
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003089/ScoringFiles/PGS003089.txt.gz
PGS003090
(ExPRSweb_T2D_2443_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 1,888
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003090/ScoringFiles/PGS003090.txt.gz
PGS003091
(ExPRSweb_T2D_2443_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 2,707
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003091/ScoringFiles/PGS003091.txt.gz
PGS003092
(ExPRSweb_T2D_2443_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 10,304,000
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003092/ScoringFiles/PGS003092.txt.gz
PGS003093
(ExPRSweb_T2D_2443_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 1,113,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003093/ScoringFiles/PGS003093.txt.gz
PGS003094
(ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 266,890
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003094/ScoringFiles/PGS003094.txt.gz
PGS003095
(ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 45
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003095/ScoringFiles/PGS003095.txt.gz
PGS003096
(ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 46
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003096/ScoringFiles/PGS003096.txt.gz
PGS003097
(ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 229
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003097/ScoringFiles/PGS003097.txt.gz
PGS003098
(ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 1,116,101
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003098/ScoringFiles/PGS003098.txt.gz
PGS003099
(ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 555,512
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003099/ScoringFiles/PGS003099.txt.gz
PGS003100
(ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 5,693
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003100/ScoringFiles/PGS003100.txt.gz
PGS003101
(ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 5,693
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003101/ScoringFiles/PGS003101.txt.gz
PGS003102
(ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 5,052,574
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003102/ScoringFiles/PGS003102.txt.gz
PGS003103
(ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 945,820
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003103/ScoringFiles/PGS003103.txt.gz
PGS003104
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 374,510
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003104/ScoringFiles/PGS003104.txt.gz
PGS003105
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 187
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003105/ScoringFiles/PGS003105.txt.gz
PGS003106
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 187
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003106/ScoringFiles/PGS003106.txt.gz
PGS003107
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 995
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003107/ScoringFiles/PGS003107.txt.gz
PGS003108
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 1,118,480
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003108/ScoringFiles/PGS003108.txt.gz
PGS003109
(ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 311,565
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003109/ScoringFiles/PGS003109.txt.gz
PGS003110
(ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 118
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003110/ScoringFiles/PGS003110.txt.gz
PGS003111
(ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 143
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003111/ScoringFiles/PGS003111.txt.gz
PGS003112
(ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 222
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003112/ScoringFiles/PGS003112.txt.gz
PGS003113
(ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 1,117,087
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003113/ScoringFiles/PGS003113.txt.gz
PGS003114
(ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 555,528
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003114/ScoringFiles/PGS003114.txt.gz
PGS003115
(ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 31,462
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003115/ScoringFiles/PGS003115.txt.gz
PGS003116
(ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 31,462
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003116/ScoringFiles/PGS003116.txt.gz
PGS003117
(ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 5,052,993
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003117/ScoringFiles/PGS003117.txt.gz
PGS003118
(ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 945,921
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003118/ScoringFiles/PGS003118.txt.gz
PGS003119
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 407,553
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003119/ScoringFiles/PGS003119.txt.gz
PGS003120
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 193
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003120/ScoringFiles/PGS003120.txt.gz
PGS003121
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 193
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003121/ScoringFiles/PGS003121.txt.gz
PGS003122
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 264
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003122/ScoringFiles/PGS003122.txt.gz
PGS003123
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 Diabetes type 2 diabetes mellitus 1,119,522
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003123/ScoringFiles/PGS003123.txt.gz
PGS003353
(GRS_T2D)
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Type 2 diabetes type 2 diabetes mellitus 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003353/ScoringFiles/PGS003353.txt.gz
PGS003385
(best_OV)
PGP000413 |
Namba S et al. Cancer Res (2022)
Ovarian serous carcinoma ovarian serous carcinoma 144,810
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003385/ScoringFiles/PGS003385.txt.gz
PGS003394
(PRS_Stepwise)
PGP000277 |
Dareng EO et al. Eur J Hum Genet (2022)
Epithelial ovarian cancer ovarian carcinoma 36
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003394/ScoringFiles/PGS003394.txt.gz
PGS003402
(PRS_T2D)
PGP000419 |
Lamri A et al. Elife (2022)
Type 2 Diabetes type 2 diabetes mellitus 6,838
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003402/ScoringFiles/PGS003402.txt.gz
PGS003437
(PRS23_TC)
PGP000439 |
Feng X et al. JAMA Netw Open (2022)
Thyroid cancer thyroid carcinoma 23
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003437/ScoringFiles/PGS003437.txt.gz
PGS003443
(PRScsx_T2D_LAT_EURweights)
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
type 2 diabetes type 2 diabetes mellitus 1,092,496
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003443/ScoringFiles/PGS003443.txt.gz
PGS003444
(PRScsx_T2D_LAT_EASweights)
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
type 2 diabetes type 2 diabetes mellitus 1,001,579
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003444/ScoringFiles/PGS003444.txt.gz
PGS003445
(PRScsx_T2D_LAT_LATweights)
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
type 2 diabetes type 2 diabetes mellitus 1,149,210
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003445/ScoringFiles/PGS003445.txt.gz
PGS003728
(PS_T2D_183-AGEN)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes type 2 diabetes mellitus 183
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003728/ScoringFiles/PGS003728.txt.gz
PGS003729
(PS_T2D_293-DIAGRAM)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes type 2 diabetes mellitus 293
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003729/ScoringFiles/PGS003729.txt.gz
PGS003730
(PS_T2D_287-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes type 2 diabetes mellitus 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003730/ScoringFiles/PGS003730.txt.gz
PGS003731
(PS_T2D_282-SAS-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes type 2 diabetes mellitus 282
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003731/ScoringFiles/PGS003731.txt.gz
PGS003732
(PS_T2D_287-HIS-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes type 2 diabetes mellitus 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003732/ScoringFiles/PGS003732.txt.gz
PGS003733
(PS_T2D_287-EUR-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes type 2 diabetes mellitus 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003733/ScoringFiles/PGS003733.txt.gz
PGS003734
(PS_T2D_280-EAS-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes type 2 diabetes mellitus 280
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003734/ScoringFiles/PGS003734.txt.gz
PGS003735
(PS_T2D_276-AFR-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes type 2 diabetes mellitus 276
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003735/ScoringFiles/PGS003735.txt.gz
PGS003741
(PRS28_OC)
PGP000470 |
Xin J et al. EBioMedicine (2023)
Ovarian cancer ovarian carcinoma 28
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003741/ScoringFiles/PGS003741.txt.gz
PGS003742
(PRS19_PC)
PGP000470 |
Xin J et al. EBioMedicine (2023)
Pancreatic cancer pancreatic neoplasm 19
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003742/ScoringFiles/PGS003742.txt.gz
PGS003746
(PRS11_TC)
PGP000470 |
Xin J et al. EBioMedicine (2023)
Thyroid cancer thyroid carcinoma 11
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003746/ScoringFiles/PGS003746.txt.gz
PGS003749
(ModelT1D_under25)
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Type 1 diabetes type 1 diabetes mellitus 6,612
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003749/ScoringFiles/PGS003749.txt.gz
PGS003750
(ModelT1D)
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Type 1 diabetes type 1 diabetes mellitus 7,835
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003750/ScoringFiles/PGS003750.txt.gz
PGS003751
(ModelT2D_over45)
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Type 2 diabetes type 2 diabetes mellitus 354
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003751/ScoringFiles/PGS003751.txt.gz
PGS003752
(ModelT2D)
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Type 2 diabetes type 2 diabetes mellitus 333
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003752/ScoringFiles/PGS003752.txt.gz
PGS003754
(PRS22_OCstepwise)
PGP000474 |
Hurwitz LM et al. JAMA Netw Open (2023)
Nonmucinous Epithelial Ovarian Cancer ovarian carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003754/ScoringFiles/PGS003754.txt.gz
PGS003867
(T2D_PRScs_ARB)
PGP000501 |
Shim I et al. Nature Communications (2023)
Type 2 diabetes type 2 diabetes mellitus 1,068,166
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003867/ScoringFiles/PGS003867.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
PPM015522 PGS000014
(GPS_T2D)
PSS009971|
Multi-ancestry (including European)|
36,422 individuals
PGP000381 |
Hao L et al. Nat Med (2022)
|Ext.
Reported Trait: Type 2 diabetes mellitus OR: 1.75 [1.57, 1.95] 4 genetic PCs
PPM019100 PGS000014
(GPS_T2D)
PSS011181|
Ancestry Not Reported|
3,071 individuals
PGP000504 |
Duschek E et al. Sci Rep (2023)
|Ext.
Reported Trait: Incident type 2 diabetes AUROC: 0.613 [0.565, 0.657]
PPM019098 PGS000014
(GPS_T2D)
PSS011181|
Ancestry Not Reported|
3,071 individuals
PGP000504 |
Duschek E et al. Sci Rep (2023)
|Ext.
Reported Trait: Incident type 2 diabetes OR: 1.67 [1.37, 2.03] Age, Sex, BMI, Physical activity, FamRS
PPM019099 PGS000014
(GPS_T2D)
PSS011181|
Ancestry Not Reported|
3,071 individuals
PGP000504 |
Duschek E et al. Sci Rep (2023)
|Ext.
Reported Trait: Prevelant type 2 diabetes AUROC: 0.869 [0.842, 0.896]
PPM019097 PGS000014
(GPS_T2D)
PSS011181|
Ancestry Not Reported|
3,071 individuals
PGP000504 |
Duschek E et al. Sci Rep (2023)
|Ext.
Reported Trait: Prevelant type 2 diabetes OR: 6.21 [5.06, 7.74] Age, Sex, BMI, Physical activity, FamRS
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
PPM018539 PGS000023
(AA_GRS)
PSS011011|
European Ancestry|
16,663 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 97.0 %
PPV (reference): 86.0 %
eMERGE type 1 diabetes algorithm
PPM018536 PGS000023
(AA_GRS)
PSS011012|
Multi-ancestry (including European)|
39,820 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.781
PPM018537 PGS000023
(AA_GRS)
PSS011009|
Multi-ancestry (including European)|
57,643 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.817
PPM018541 PGS000023
(AA_GRS)
PSS011010|
Multi-ancestry (excluding European)|
40,980 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 86.0 %
PPV (reference): 71.0 %
eMERGE type 1 diabetes algorithm
PPM018543 PGS000023
(AA_GRS)
PSS011013|
Multi-ancestry (excluding European)|
4,881 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 83.0 %
PPV (reference): 53.0 %
eMERGE type 1 diabetes algorithm
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]
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
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
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
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]
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]
PPM018532 PGS000024
(GRS2)
PSS011012|
Multi-ancestry (including European)|
39,820 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.875
PPM018533 PGS000024
(GRS2)
PSS011009|
Multi-ancestry (including European)|
57,643 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.822
PPM018534 PGS000024
(GRS2)
PSS011014|
European Ancestry|
34,939 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.888
PPM018535 PGS000024
(GRS2)
PSS011014|
European Ancestry|
34,939 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.858
PPM018538 PGS000024
(GRS2)
PSS011011|
European Ancestry|
16,663 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 100.0 %
PPV (reference): 86.0 %
eMERGE type 1 diabetes algorithm
PPM018540 PGS000024
(GRS2)
PSS011010|
Multi-ancestry (excluding European)|
40,980 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 93.0 %
PPV (reference): 71.0 %
eMERGE type 1 diabetes algorithm
PPM018542 PGS000024
(GRS2)
PSS011014|
European Ancestry|
34,939 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 97.0 %
PPV (reference): 71.0 %
eMERGE type 1 diabetes algorithm
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
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]
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]
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]
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.
PPM017174 PGS000082
(CC_Ovary)
PSS010149|
European Ancestry|
315 individuals
PGP000443 |
Byrne S et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Ovarian cancer HR: 1.09 [0.97, 1.21] age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates
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.
PPM017171 PGS000083
(CC_Pancreas)
PSS010154|
European Ancestry|
451 individuals
PGP000443 |
Byrne S et al. Int J Epidemiol (2023)
|Ext.
Reported Trait: Pancreatic cancer HR: 1.51 [1.38, 1.66] age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates
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.
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
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]
PPM017146 PGS000207
(TC10_Ohio)
PSS010136|
European Ancestry|
264,956 individuals
PGP000439 |
Feng X et al. JAMA Netw Open (2022)
|Ext.
Reported Trait: Thyroid cancer HR: 1.74 [1.56, 1.94] AUROC: 0.62 [0.59, 0.64] age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax
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
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
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
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
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
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)
: 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)
: 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)
: 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)
: 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.
PPM002193 PGS000820
(PRS_hypothyroidism)
PSS001068|
European Ancestry|
51,070 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Spontaneous hypothyroidism OR: 1.33 [1.29, 1.37] AUROC: 0.6 Age, sex, PCs(1-10)
PPM002195 PGS000820
(PRS_hypothyroidism)
PSS001070|
Multi-ancestry (including European)|
744 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.34 [1.08, 1.66] AUROC: 0.6 Age, sex, PCs(1-10)
PPM002197 PGS000820
(PRS_hypothyroidism)
PSS001070|
Multi-ancestry (including European)|
744 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Anti-PD-(L)1 monotherapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.34 [1.07, 1.69] Age, sex, PCs(1-10)
PPM002199 PGS000820
(PRS_hypothyroidism)
PSS001069|
Multi-ancestry (including European)|
561 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.39 [1.07, 1.82] AUROC: 0.64 Age, sex, PCs(1-10)
PPM002198 PGS000820
(PRS_hypothyroidism)
PSS001071|
European Ancestry|
634 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.27 [1.02, 1.59] Age, sex
PPM002240 PGS000832
(T2D-GRS)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.24 [1.16, 1.34] PC1-10
PPM002242 PGS000832
(T2D-GRS)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.77 [1.67, 1.88] PC1-10
PPM002239 PGS000832
(T2D-GRS)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.96 [1.81, 2.12] PC1-10
PPM002238 PGS000832
(T2D-GRS)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.28 [1.16, 1.42] PC1-10
PPM002241 PGS000832
(T2D-GRS)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.73 [1.61, 1.86] PC1-10
PPM002243 PGS000833
(T1D)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.39 [1.25, 1.54] PC1-10
PPM002246 PGS000833
(T1D)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002247 PGS000833
(T1D)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.02 [0.97, 1.07] PC1-10
PPM002244 PGS000833
(T1D)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002245 PGS000833
(T1D)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.03 [0.96, 1.11] PC1-10
PPM002323 PGS000848
(T2D_Adiposity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.11 [1.0, 1.23] PC1-10
PPM002324 PGS000848
(T2D_Adiposity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.1 [1.02, 1.18] PC1-10
PPM002325 PGS000848
(T2D_Adiposity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.11 [1.03, 1.19] PC1-10
PPM002326 PGS000848
(T2D_Adiposity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.2 [1.12, 1.28] PC1-10
PPM002327 PGS000848
(T2D_Adiposity)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.06 [1.0, 1.12] PC1-10
PPM002329 PGS000849
(T2D_Impaired_Lipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.07 [1.0, 1.15] PC1-10
PPM002330 PGS000849
(T2D_Impaired_Lipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.09 [1.01, 1.17] PC1-10
PPM002331 PGS000849
(T2D_Impaired_Lipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.0 [0.93, 1.07] PC1-10
PPM002332 PGS000849
(T2D_Impaired_Lipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.06 [1.0, 1.12] PC1-10
PPM002328 PGS000849
(T2D_Impaired_Lipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.08 [0.97, 1.2] PC1-10
PPM002333 PGS000850
(T2D_Insulin_Action)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.08 [0.98, 1.2] PC1-10
PPM002334 PGS000850
(T2D_Insulin_Action)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.17 [1.09, 1.25] PC1-10
PPM002335 PGS000850
(T2D_Insulin_Action)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.17 [1.09, 1.26] PC1-10
PPM002337 PGS000850
(T2D_Insulin_Action)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.16 [1.1, 1.23] PC1-10
PPM002336 PGS000850
(T2D_Insulin_Action)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.07, 1.22] PC1-10
PPM002338 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.24 [1.12, 1.37] PC1-10
PPM002339 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.32] PC1-10
PPM002340 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002341 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.12, 1.28] PC1-10
PPM002342 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.19 [1.13, 1.26] PC1-10
PPM002343 PGS000852
(T2D_Insulin_Secretion_1)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.01 [0.91, 1.12] PC1-10
PPM002344 PGS000852
(T2D_Insulin_Secretion_1)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.31 [1.22, 1.41] PC1-10
PPM002345 PGS000852
(T2D_Insulin_Secretion_1)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.12] PC1-10
PPM002347 PGS000852
(T2D_Insulin_Secretion_1)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.29 [1.22, 1.37] PC1-10
PPM002346 PGS000852
(T2D_Insulin_Secretion_1)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.26 [1.18, 1.35] PC1-10
PPM002348 PGS000853
(T2D_Insulin_Secretion_2)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.99 [0.9, 1.1] PC1-10
PPM002349 PGS000853
(T2D_Insulin_Secretion_2)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.26 [1.18, 1.36] PC1-10
PPM002350 PGS000853
(T2D_Insulin_Secretion_2)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002351 PGS000853
(T2D_Insulin_Secretion_2)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.18 [1.11, 1.27] PC1-10
PPM002352 PGS000853
(T2D_Insulin_Secretion_2)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.23 [1.17, 1.3] PC1-10
PPM002353 PGS000854
(T2D_BetaCell)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.0 [0.91, 1.11] PC1-10
PPM002354 PGS000854
(T2D_BetaCell)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.32 [1.23, 1.42] PC1-10
PPM002355 PGS000854
(T2D_BetaCell)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002357 PGS000854
(T2D_BetaCell)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.27 [1.2, 1.34] PC1-10
PPM002356 PGS000854
(T2D_BetaCell)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.21 [1.13, 1.3] PC1-10
PPM002358 PGS000855
(T2D_Lipodystrophy)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.12 [1.01, 1.25] PC1-10
PPM002359 PGS000855
(T2D_Lipodystrophy)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.33] PC1-10
PPM002360 PGS000855
(T2D_Lipodystrophy)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.15 [1.07, 1.24] PC1-10
PPM002361 PGS000855
(T2D_Lipodystrophy)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002362 PGS000855
(T2D_Lipodystrophy)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.18 [1.11, 1.24] PC1-10
PPM002363 PGS000856
(T2D_LiverLipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.35 [1.22, 1.51] PC1-10
PPM002364 PGS000856
(T2D_LiverLipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002366 PGS000856
(T2D_LiverLipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002367 PGS000856
(T2D_LiverLipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 0.95 [0.9, 1.01] PC1-10
PPM002365 PGS000856
(T2D_LiverLipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.97 [0.91, 1.05] PC1-10
PPM002368 PGS000857
(T2D_Obesity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.07 [0.97, 1.19] PC1-10
PPM002369 PGS000857
(T2D_Obesity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.08 [1.01, 1.16] PC1-10
PPM002370 PGS000857
(T2D_Obesity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.13 [1.05, 1.22] PC1-10
PPM002371 PGS000857
(T2D_Obesity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.11, 1.27] PC1-10
PPM002372 PGS000857
(T2D_Obesity)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.04 [0.99, 1.1] PC1-10
PPM002373 PGS000858
(T2D_Proinsulin)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.94 [0.85, 1.04] PC1-10
PPM002374 PGS000858
(T2D_Proinsulin)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002376 PGS000858
(T2D_Proinsulin)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.06 [0.99, 1.13] PC1-10
PPM002377 PGS000858
(T2D_Proinsulin)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.1 [1.04, 1.16] PC1-10
PPM002375 PGS000858
(T2D_Proinsulin)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.93 [0.87, 1.0] PC1-10
PPM002403 PGS000864
(T2D-gPRS)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.42 [1.28, 1.58] PC1-10
PPM002404<