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
PGS000079
(CC_Melanoma)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Melanoma melanoma 24
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000079/ScoringFiles/PGS000079.txt.gz
PGS000082
(CC_Ovary)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Ovarian cancer ovarian carcinoma 36
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000082/ScoringFiles/PGS000082.txt.gz
PGS000083
(CC_Pancreas)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Pancreatic cancer pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000083/ScoringFiles/PGS000083.txt.gz
PGS000086
(CC_Testis)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Testicular cancer testicular carcinoma,
Testicular Germ Cell Tumor
52
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000086/ScoringFiles/PGS000086.txt.gz
PGS000087
(CC_Thyroid)
PGP000050 |
Graff RE et al. Nat Commun (2021)
Thyroid cancer thyroid carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000087/ScoringFiles/PGS000087.txt.gz
PGS000118
(MEL29)
PGP000055 |
Fritsche LG et al. PLoS Genet (2019)
Melanoma melanoma 29
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000118/ScoringFiles/PGS000118.txt.gz
PGS000125
(Qi_T2D_2017)
PGP000062 |
Qi Q et al. Diabetes (2017)
Type 2 Diabetes type 2 diabetes mellitus 80
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000125/ScoringFiles/PGS000125.txt.gz
PGS000157
(cGRS_Melanoma)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Melanoma melanoma 17
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000157/ScoringFiles/PGS000157.txt.gz
PGS000158
(cGRS_Ovarian)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Ovarian cancer ovarian carcinoma 11
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000158/ScoringFiles/PGS000158.txt.gz
PGS000159
(cGRS_Pancreatic)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Pancreatic cancer pancreatic carcinoma 9
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000159/ScoringFiles/PGS000159.txt.gz
PGS000162
(cGRS_Thyroid)
PGP000075 |
Shi Z et al. Cancer Med (2019)
Thyroid cancer thyroid carcinoma 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000162/ScoringFiles/PGS000162.txt.gz
PGS000207
(TC10_Ohio)
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Thyroid cancer thyroid carcinoma 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000207/ScoringFiles/PGS000207.txt.gz
PGS000208
(TC10_Iceland)
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Thyroid cancer thyroid carcinoma 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000208/ScoringFiles/PGS000208.txt.gz
PGS000209
(TC10_UKB)
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Thyroid cancer thyroid carcinoma 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000209/ScoringFiles/PGS000209.txt.gz
PGS000330
(PRS_T2D)
PGP000100 |
Mars N et al. Nat Med (2020)
Type 2 diabetes type 2 diabetes mellitus 6,437,380
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000330/ScoringFiles/PGS000330.txt.gz
PGS000339
(PRS22_CM)
PGP000106 |
Law MH et al. Hum Mol Genet (2020)
Cutaneous melanoma cutaneous melanoma 22
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000339/ScoringFiles/PGS000339.txt.gz
PGS000351
(PRS_EOC)
PGP000117 |
Barnes DR et al. Genet Med (2020)
Invasive epithelial ovarian cancer ovarian carcinoma 30
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000351/ScoringFiles/PGS000351.txt.gz
PGS000352
(PRS_HGS)
PGP000117 |
Barnes DR et al. Genet Med (2020)
High grade serous ovarian cancer high grade ovarian serous adenocarcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000352/ScoringFiles/PGS000352.txt.gz
PGS000385
(PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Pancreatic cancer pancreatic carcinoma 17
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000385/ScoringFiles/PGS000385.txt.gz
PGS000386
(PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Pancreatic cancer pancreatic carcinoma 10
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000386/ScoringFiles/PGS000386.txt.gz
PGS000408
(PRSWEB_PHECODE172.1_20001-1059_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 10
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000408/ScoringFiles/PGS000408.txt.gz
PGS000409
(PRSWEB_PHECODE172.1_20001-1059_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 1,111,490
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000409/ScoringFiles/PGS000409.txt.gz
PGS000410
(PRSWEB_PHECODE172.1_20001-1059_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 7
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000410/ScoringFiles/PGS000410.txt.gz
PGS000411
(PRSWEB_PHECODE172.1_20001-1059_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 185
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000411/ScoringFiles/PGS000411.txt.gz
PGS000412
(PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 16
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000412/ScoringFiles/PGS000412.txt.gz
PGS000413
(PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 1,111,490
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000413/ScoringFiles/PGS000413.txt.gz
PGS000414
(PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 21
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000414/ScoringFiles/PGS000414.txt.gz
PGS000415
(PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 505
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000415/ScoringFiles/PGS000415.txt.gz
PGS000416
(PRSWEB_PHECODE172.1_C43_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 9
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000416/ScoringFiles/PGS000416.txt.gz
PGS000417
(PRSWEB_PHECODE172.1_C43_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 1,109,519
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000417/ScoringFiles/PGS000417.txt.gz
PGS000418
(PRSWEB_PHECODE172.1_C43_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 9
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000418/ScoringFiles/PGS000418.txt.gz
PGS000419
(PRSWEB_PHECODE172.1_C43_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 436
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000419/ScoringFiles/PGS000419.txt.gz
PGS000420
(PRSWEB_PHECODE172.1_D03_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 147
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000420/ScoringFiles/PGS000420.txt.gz
PGS000421
(PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 18
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000421/ScoringFiles/PGS000421.txt.gz
PGS000422
(PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 18
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000422/ScoringFiles/PGS000422.txt.gz
PGS000423
(PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 29
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000423/ScoringFiles/PGS000423.txt.gz
PGS000424
(PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 27
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000424/ScoringFiles/PGS000424.txt.gz
PGS000425
(PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 20
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000425/ScoringFiles/PGS000425.txt.gz
PGS000426
(PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 20
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000426/ScoringFiles/PGS000426.txt.gz
PGS000427
(PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 20
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000427/ScoringFiles/PGS000427.txt.gz
PGS000428
(PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 20
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000428/ScoringFiles/PGS000428.txt.gz
PGS000429
(PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 12
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000429/ScoringFiles/PGS000429.txt.gz
PGS000430
(PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000430/ScoringFiles/PGS000430.txt.gz
PGS000431
(PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 15
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000431/ScoringFiles/PGS000431.txt.gz
PGS000432
(PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Melanomas of skin (diagnosis or history) melanoma 296
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000432/ScoringFiles/PGS000432.txt.gz
PGS000544
(PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 21
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000544/ScoringFiles/PGS000544.txt.gz
PGS000545
(PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 21
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000545/ScoringFiles/PGS000545.txt.gz
PGS000546
(PRSWEB_PHECODE184.11_Phelan-ENOC_PRS-CS_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 1,115,189
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000546/ScoringFiles/PGS000546.txt.gz
PGS000547
(PRSWEB_PHECODE184.11_Phelan-EPOC_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 6
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000547/ScoringFiles/PGS000547.txt.gz
PGS000548
(PRSWEB_PHECODE184.11_Phelan-EPOC_LASSOSUM_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 1,441
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000548/ScoringFiles/PGS000548.txt.gz
PGS000549
(PRSWEB_PHECODE184.11_Phelan-IEOC_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 16
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000549/ScoringFiles/PGS000549.txt.gz
PGS000550
(PRSWEB_PHECODE184.11_Phelan-IEOC_PRS-CS_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 1,115,189
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000550/ScoringFiles/PGS000550.txt.gz
PGS000551
(PRSWEB_PHECODE184.11_Phelan-IEOC_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 12
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000551/ScoringFiles/PGS000551.txt.gz
PGS000552
(PRSWEB_PHECODE184.11_Phelan-IEOC_LASSOSUM_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 41,269
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000552/ScoringFiles/PGS000552.txt.gz
PGS000553
(PRSWEB_PHECODE184.11_Phelan-LSASBOC_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 10
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000553/ScoringFiles/PGS000553.txt.gz
PGS000554
(PRSWEB_PHECODE184.11_Phelan-LSASBOC_PRS-CS_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 1,115,189
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000554/ScoringFiles/PGS000554.txt.gz
PGS000555
(PRSWEB_PHECODE184.11_Phelan-LSASBOC_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 15
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000555/ScoringFiles/PGS000555.txt.gz
PGS000556
(PRSWEB_PHECODE184.11_Phelan-LSASBOC_LASSOSUM_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 486,841
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000556/ScoringFiles/PGS000556.txt.gz
PGS000557
(PRSWEB_PHECODE184.11_Phelan-OCCC_PRS-CS_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 1,115,187
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000557/ScoringFiles/PGS000557.txt.gz
PGS000558
(PRSWEB_PHECODE184.11_Phelan-OCCC_LASSOSUM_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 1,098,236
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000558/ScoringFiles/PGS000558.txt.gz
PGS000559
(PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 21
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000559/ScoringFiles/PGS000559.txt.gz
PGS000560
(PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 21
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000560/ScoringFiles/PGS000560.txt.gz
PGS000561
(PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 1,114,056
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000561/ScoringFiles/PGS000561.txt.gz
PGS000562
(PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 1,115,189
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000562/ScoringFiles/PGS000562.txt.gz
PGS000563
(PRSWEB_PHECODE184.11_Phelan-SIOC_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 12
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000563/ScoringFiles/PGS000563.txt.gz
PGS000564
(PRSWEB_PHECODE184.11_Phelan-SIOC_LASSOSUM_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of ovary ovarian neoplasm 110,710
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000564/ScoringFiles/PGS000564.txt.gz
PGS000595
(PRSWEB_PHECODE187.2_20001-1045_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 9
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000595/ScoringFiles/PGS000595.txt.gz
PGS000596
(PRSWEB_PHECODE187.2_20001-1045_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 5
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000596/ScoringFiles/PGS000596.txt.gz
PGS000597
(PRSWEB_PHECODE187.2_20001-1045_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 771
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000597/ScoringFiles/PGS000597.txt.gz
PGS000598
(PRSWEB_PHECODE187.2_C3-TESTIS_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 6
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000598/ScoringFiles/PGS000598.txt.gz
PGS000599
(PRSWEB_PHECODE187.2_C3-TESTIS_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 31
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000599/ScoringFiles/PGS000599.txt.gz
PGS000600
(PRSWEB_PHECODE187.2_C3-TESTIS_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 250
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000600/ScoringFiles/PGS000600.txt.gz
PGS000601
(PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 40
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000601/ScoringFiles/PGS000601.txt.gz
PGS000602
(PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 40
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000602/ScoringFiles/PGS000602.txt.gz
PGS000603
(PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 22
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000603/ScoringFiles/PGS000603.txt.gz
PGS000604
(PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Malignant neoplasm of testis testicular carcinoma 44
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000604/ScoringFiles/PGS000604.txt.gz
PGS000626
(PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 8
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000626/ScoringFiles/PGS000626.txt.gz
PGS000627
(PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 11
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000627/ScoringFiles/PGS000627.txt.gz
PGS000628
(PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 656
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000628/ScoringFiles/PGS000628.txt.gz
PGS000629
(PRSWEB_PHECODE193_C73_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 8
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000629/ScoringFiles/PGS000629.txt.gz
PGS000630
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 10
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000630/ScoringFiles/PGS000630.txt.gz
PGS000631
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 10
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000631/ScoringFiles/PGS000631.txt.gz
PGS000632
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 8
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000632/ScoringFiles/PGS000632.txt.gz
PGS000633
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 5
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000633/ScoringFiles/PGS000633.txt.gz
PGS000634
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 1,119,238
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000634/ScoringFiles/PGS000634.txt.gz
PGS000635
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 5
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000635/ScoringFiles/PGS000635.txt.gz
PGS000636
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608)
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Thyroid cancer thyroid carcinoma 954
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000636/ScoringFiles/PGS000636.txt.gz
PGS000655
(NAFLD-10)
PGP000119 |
Namjou B et al. BMC Med (2019)
Non-alcoholic fatty liver disease non-alcoholic fatty liver disease 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000655/ScoringFiles/PGS000655.txt.gz
PGS000663
(wGRS22)
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Pancreatic cancer pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000663/ScoringFiles/PGS000663.txt.gz
PGS000704
(HC171)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Alcoholic cirrhosis alcoholic liver cirrhosis 183,271
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000704/ScoringFiles/PGS000704.txt.gz - Check Terms/Licenses
PGS000712
(T2D_HbA1c_39)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
T2D (cases vs HbA1c filtered controls) type 2 diabetes mellitus 183,695
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000712/ScoringFiles/PGS000712.txt.gz - Check Terms/Licenses
PGS000713
(T2D)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
T2D type 2 diabetes mellitus 183,830
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000713/ScoringFiles/PGS000713.txt.gz - Check Terms/Licenses
PGS000724
(PRS_Ovary)
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Epithelial ovarian cancer ovarian carcinoma 31
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000724/ScoringFiles/PGS000724.txt.gz
PGS000725
(PRS_Pancreas)
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Pancreatic cancer pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000725/ScoringFiles/PGS000725.txt.gz
PGS000726
(PGS12_CIR)
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Cirrhosis cirrhosis of liver 12
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000726/ScoringFiles/PGS000726.txt.gz
PGS000729
(T2D_PGS)
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
Type 2 diabetes type 2 diabetes mellitus 2,017,388
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000729/ScoringFiles/PGS000729.txt.gz
PGS000732
(PRS_Melanoma)
PGP000138 |
Fontanillas P et al. Nat Commun (2021)
Melanoma melanoma 18
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000732/ScoringFiles/PGS000732.txt.gz - Check Terms/Licenses
PGS000743
(PRS_melanoma)
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Melanoma melanoma 45
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000743/ScoringFiles/PGS000743.txt.gz
PGS000744
(PRS_melanoma_pigment.pathway)
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Melanoma melanoma 31
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000744/ScoringFiles/PGS000744.txt.gz
PGS000745
(PRS_melanoma_telomere.pathway)
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Melanoma melanoma 9
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000745/ScoringFiles/PGS000745.txt.gz
PGS000759
(hypoT)
PGP000164 |
Khan Z et al. Nat Commun (2021)
Hypothyroidism hypothyroidism 140
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000759/ScoringFiles/PGS000759.txt.gz
PGS000761
(LDpred2_hypoT_PRS)
PGP000164 |
Khan Z et al. Nat Commun (2021)
Hypothyroidism hypothyroidism 1,099,649
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000761/ScoringFiles/PGS000761.txt.gz
PGS000766
(PRS56_CM)
PGP000172 |
Bakshi A et al. J Natl Cancer Inst (2021)
Cutaneous melanoma cutaneous melanoma 56
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000766/ScoringFiles/PGS000766.txt.gz
PGS000776
(GRS9_Cirr)
PGP000180 |
Innes H et al. Gastroenterology (2020)
Cirrhosis cirrhosis of liver 9
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000776/ScoringFiles/PGS000776.txt.gz
PGS000790
(CC_Melanoma_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Melanoma melanoma 24
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000790/ScoringFiles/PGS000790.txt.gz
PGS000793
(CC_Ovary_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Ovarian cancer ovarian carcinoma 36
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000793/ScoringFiles/PGS000793.txt.gz
PGS000794
(CC_Pancreas_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Pancreatic cancer pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000794/ScoringFiles/PGS000794.txt.gz
PGS000796
(CC_Testis_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Testicular cancer testicular carcinoma,
Testicular Germ Cell Tumor
52
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000796/ScoringFiles/PGS000796.txt.gz
PGS000797
(CC_Thyroid_IV)
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Thyroid cancer thyroid carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000797/ScoringFiles/PGS000797.txt.gz
PGS000804
(GRS582_T2Dmulti)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000804/ScoringFiles/PGS000804.txt.gz - Check Terms/Licenses
PGS000805
(GRS582_T2Deur)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000805/ScoringFiles/PGS000805.txt.gz - Check Terms/Licenses
PGS000806
(GRS582_T2Dafr)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000806/ScoringFiles/PGS000806.txt.gz - Check Terms/Licenses
PGS000807
(GRS582_T2Dasn)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000807/ScoringFiles/PGS000807.txt.gz - Check Terms/Licenses
PGS000808
(GRS582_T2Dhis)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000808/ScoringFiles/PGS000808.txt.gz - Check Terms/Licenses
PGS000813
(PRS46_melanoma)
PGP000197 |
Potjer TP et al. J Med Genet (2020)
melanoma melanoma 46
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000813/ScoringFiles/PGS000813.txt.gz
PGS000820
(PRS_hypothyroidism)
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Hypothyroidism (self-reported) hypothyroidism 890,908
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000820/ScoringFiles/PGS000820.txt.gz
PGS000832
(T2D-GRS)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes type 2 diabetes mellitus 384
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000832/ScoringFiles/PGS000832.txt.gz
PGS000833
(T1D)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 1 diabetes type 1 diabetes mellitus 66
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz
PGS000848
(T2D_Adiposity)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with adiposity) type 2 diabetes mellitus 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000848/ScoringFiles/PGS000848.txt.gz
PGS000849
(T2D_Impaired_Lipids)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with impaired lipids) type 2 diabetes mellitus 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000849/ScoringFiles/PGS000849.txt.gz
PGS000850
(T2D_Insulin_Action)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin action) type 2 diabetes mellitus 16
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000850/ScoringFiles/PGS000850.txt.gz
PGS000851
(T2D_Insulin_Action_Secretion)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin action/secretion) type 2 diabetes mellitus 37
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000851/ScoringFiles/PGS000851.txt.gz
PGS000852
(T2D_Insulin_Secretion_1)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin secretion) type 2 diabetes mellitus 8
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000852/ScoringFiles/PGS000852.txt.gz
PGS000853
(T2D_Insulin_Secretion_2)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin secretion) type 2 diabetes mellitus 21
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000853/ScoringFiles/PGS000853.txt.gz
PGS000854
(T2D_BetaCell)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with beta cell function) type 2 diabetes mellitus 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000854/ScoringFiles/PGS000854.txt.gz
PGS000855
(T2D_Lipodystrophy)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with lipodystrophy) type 2 diabetes mellitus 18
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000855/ScoringFiles/PGS000855.txt.gz
PGS000856
(T2D_LiverLipids)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with liver lipids) type 2 diabetes mellitus 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000856/ScoringFiles/PGS000856.txt.gz
PGS000857
(T2D_Obesity)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with obesity) type 2 diabetes mellitus 4
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000857/ScoringFiles/PGS000857.txt.gz
PGS000858
(T2D_Proinsulin)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with proinsulin levels) type 2 diabetes mellitus 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000858/ScoringFiles/PGS000858.txt.gz
PGS000864
(T2D-gPRS)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes type 2 diabetes mellitus 389,243
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000864/ScoringFiles/PGS000864.txt.gz
PGS000868
(T2D_221)
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Type II diabetes type 2 diabetes mellitus 221
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000868/ScoringFiles/PGS000868.txt.gz
PGS000869
(T1D_48)
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Type I diabetes type 1 diabetes mellitus 48
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.txt.gz
PGS000872
(PRS-5)
PGP000215 |
Bianco C et al. J Hepatol (2020)
Non-alcoholic fatty liver disease non-alcoholic fatty liver disease 5
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000872/ScoringFiles/PGS000872.txt.gz
PGS000928
(GBE_HC644)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other non-toxic goitre (time-to-event) nontoxic goiter 170
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000928/ScoringFiles/PGS000928.txt.gz
PGS000965
(GBE_HC219)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Hypothyroidism/myxoedema hypothyroidism,
myxedema
4,535
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000965/ScoringFiles/PGS000965.txt.gz
PGS001014
(GBE_HC654)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other disorders of pancreatic internal secretion (time-to-event) pancreas disease 69
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001014/ScoringFiles/PGS001014.txt.gz
PGS001042
(GBE_HC645)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Thyrotoxicosis [hyperthyroidism] (time-to-event) Thyrotoxicosis 226
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001042/ScoringFiles/PGS001042.txt.gz
PGS001043
(GBE_HC55)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Hyperthyroidism, thyrotoxicosis Hyperthyroidism,
Thyrotoxicosis
69
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001043/ScoringFiles/PGS001043.txt.gz
PGS001164
(GBE_cancer1045)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Testicular cancer testicular carcinoma 280
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001164/ScoringFiles/PGS001164.txt.gz
PGS001181
(GBE_HC643)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other hypothyroidism (time-to-event) hypothyroidism 4,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001181/ScoringFiles/PGS001181.txt.gz
PGS001289
(GBE_cancer1065)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Thyroid cancer thyroid carcinoma 11
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001289/ScoringFiles/PGS001289.txt.gz
PGS001293
(GBE_HC1123)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other diseases of liver (time-to-event) liver disease 92
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001293/ScoringFiles/PGS001293.txt.gz
PGS001294
(GBE_HC649)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Non-insulin-dependent diabetes (time-to-event) type 2 diabetes mellitus 3,496
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001294/ScoringFiles/PGS001294.txt.gz
PGS001295
(GBE_HC165)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 385
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001295/ScoringFiles/PGS001295.txt.gz
PGS001296
(GBE_HC648)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Insulin-dependent diabetes mellitus (time-to-event) type 1 diabetes mellitus 356
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz
PGS001297
(GBE_HC337)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Type 1 diabetes type 1 diabetes mellitus 69
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz
PGS001304
(GBE_cancer1059)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Melanoma (malignant) melanoma 116
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001304/ScoringFiles/PGS001304.txt.gz
PGS001327
(GBE_HC221)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Diabetes diabetes mellitus 4,053
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001327/ScoringFiles/PGS001327.txt.gz
PGS001329
(GBE_HC652)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Unspecified diabetes mellitus (time-to-event) diabetes mellitus 2,270
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001329/ScoringFiles/PGS001329.txt.gz
PGS001354
(PRS12_TC)
PGP000251 |
Song N et al. Cancer Epidemiol Biomarkers Prev (2021)
Thyroid cancer thyroid carcinoma 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001354/ScoringFiles/PGS001354.txt.gz
PGS001357
(T2D_AnnoPred_PRS)
PGP000252 |
Ye Y et al. Circ Genom Precis Med (2021)
Type 2 diabetes type 2 diabetes mellitus 2,996,761
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001357/ScoringFiles/PGS001357.txt.gz
PGS001371
(GBE_INI2976)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Age diabetes diagnosed diabetes mellitus,
age at diagnosis
26
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001371/ScoringFiles/PGS001371.txt.gz
PGS001777
(3-SNP_cirr)
PGP000258 |
Whitfield JB et al. J Hepatol (2021)
Cirrhosis (alcohol related) alcoholic liver cirrhosis 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001777/ScoringFiles/PGS001777.txt.gz
PGS001781
(T2D_PRSCS)
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Type 2 diabetes type 2 diabetes mellitus 1,091,673
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001781/ScoringFiles/PGS001781.txt.gz
PGS001809
(portability-PLR_193)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyroid cancer thyroid carcinoma 111
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001809/ScoringFiles/PGS001809.txt.gz
PGS001814
(portability-PLR_241.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Nontoxic multinodular goiter multinodular goiter,
nontoxic goiter
322
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001814/ScoringFiles/PGS001814.txt.gz
PGS001815
(portability-PLR_242)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyrotoxicosis with or without goiter Thyrotoxicosis 280
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001815/ScoringFiles/PGS001815.txt.gz
PGS001816
(portability-PLR_244)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Hypothyroidism hypothyroidism 11,130
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001816/ScoringFiles/PGS001816.txt.gz
PGS001817
(portability-PLR_250.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 1 diabetes type 1 diabetes mellitus 825
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.txt.gz
PGS001818
(portability-PLR_250.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 30,745
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001818/ScoringFiles/PGS001818.txt.gz
PGS001860
(portability-PLR_571.5)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Other chronic nonalcoholic liver disease liver disease 497
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001860/ScoringFiles/PGS001860.txt.gz
PGS002018
(portability-ldpred2_193)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyroid cancer thyroid carcinoma 311,520
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002018/ScoringFiles/PGS002018.txt.gz
PGS002022
(portability-ldpred2_241.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Nontoxic multinodular goiter multinodular goiter,
nontoxic goiter
375,470
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002022/ScoringFiles/PGS002022.txt.gz
PGS002023
(portability-ldpred2_242)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Thyrotoxicosis with or without goiter Thyrotoxicosis 279,385
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002023/ScoringFiles/PGS002023.txt.gz
PGS002024
(portability-ldpred2_244)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Hypothyroidism hypothyroidism 632,597
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002024/ScoringFiles/PGS002024.txt.gz
PGS002025
(portability-ldpred2_250.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 1 diabetes type 1 diabetes mellitus 106,800
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.txt.gz
PGS002026
(portability-ldpred2_250.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 830,783
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002026/ScoringFiles/PGS002026.txt.gz
PGS002071
(portability-ldpred2_571.5)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Other chronic nonalcoholic liver disease liver disease 352,506
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002071/ScoringFiles/PGS002071.txt.gz
PGS002243
(ldpred_t2d)
PGP000271 |
Mars N et al. Cell Genom (2022)
Type 2 diabetes type 2 diabetes mellitus 6,431,973
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002243/ScoringFiles/PGS002243.txt.gz
PGS002246
(Melanoma_PRS50)
PGP000274 |
Steinberg J et al. Br J Dermatol (2021)
Melanoma melanoma 50
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002246/ScoringFiles/PGS002246.txt.gz
PGS002247
(Melanoma_PRS68)
PGP000274 |
Steinberg J et al. Br J Dermatol (2021)
Melanoma melanoma 68
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002247/ScoringFiles/PGS002247.txt.gz
PGS002250
(PRS_S4)
PGP000277 |
Dareng EO et al. Eur J Hum Genet (2022)
Epithelial ovarian cancer ovarian carcinoma 27,240
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002250/ScoringFiles/PGS002250.txt.gz
PGS002253
(Melanoma_PRS45)
PGP000274 |
Steinberg J et al. Br J Dermatol (2021)
Melanoma melanoma 45
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002253/ScoringFiles/PGS002253.txt.gz
PGS002256
(GRS4_GDM)
PGP000282 |
Wu Q et al. Diabetol Metab Syndr (2022)
Gestational diabetes mellitus in early pregnancy gestational diabetes 4
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002256/ScoringFiles/PGS002256.txt.gz
PGS002264
(PRS_Combined)
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Pancreatic ductal adenocarcinoma pancreatic ductal adenocarcinoma 49
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002264/ScoringFiles/PGS002264.txt.gz
PGS002277
(pPS_Insulin_secretion_1)
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Type 2 diabetes (based on SNPs associated with insulin secretion) type 2 diabetes mellitus 8
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002277/ScoringFiles/PGS002277.txt.gz
PGS002282
(GRS68_NAFLD)
PGP000312 |
Schnurr TM et al. Hepatol Commun (2022)
Nonalcoholic fatty liver disease non-alcoholic fatty liver disease 68
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002282/ScoringFiles/PGS002282.txt.gz
PGS002283
(GRS15_NAFLD)
PGP000312 |
Schnurr TM et al. Hepatol Commun (2022)
Nonalcoholic fatty liver disease non-alcoholic fatty liver disease 15
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002283/ScoringFiles/PGS002283.txt.gz
PGS002301
(PRS22_melanoma)
PGP000328 |
Choi J et al. Int J Cancer (2020)
Melanoma melanoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002301/ScoringFiles/PGS002301.txt.gz
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

Performance Metrics

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

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM000023 PGS000014
(GPS_T2D)
PSS000017|
European Ancestry|
288,978 individuals
PGP000006 |
Khera AV et al. Nat Genet (2018)
Reported Trait: Type 2 diabetes AUROC: 0.73 [0.72, 0.73] Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029 age; sex; Ancestry PC 1-4; genotyping chip
PPM002477 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes C-index: 0.709 [0.696, 0.722] Hazard ratio (HR, top 10% vs. remaining 90%): 2.0 [1.73, 2.31] Sex, age, principal components, assessment center
PPM002478 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in males C-index: 0.68 [0.663, 0.697] Age, principal components and assessment center
PPM002479 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in females C-index: 0.705 [0.682, 0.728] Age, principal components and assessment center
PPM002480 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes C-index: 0.776 [0.764, 0.788] Sex, age, principal components, assessment center, polyexposure score
PPM002481 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes C-index: 0.844 [0.834, 0.854] Sex, age, principal components, assessment center, clinical risk score
PPM002482 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes C-index: 0.855 [0.845, 0.865] Sex, age, principal components, assessment center, polyexposure socre, clinical risk score
PPM002483 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in females C-index: 0.786 [0.765, 0.807] Age, principal components, assessment center, polyexposure score
PPM002485 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in females C-index: 0.859 [0.842, 0.876] Sex, age, principal components, assessment center, clinical risk score
PPM002486 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in males C-index: 0.749 [0.734, 0.764] Age, principal components, assessment center, polyexposure score
PPM002487 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in males C-index: 0.821 [0.808, 0.834] Age, principal components, assessment center, polyexposure socre, clinical risk score
PPM002488 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in males C-index: 0.834 [0.821, 0.847] Sex, age, principal components, assessment center, clinical risk score
PPM002484 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in females C-index: 0.869 [0.853, 0.885] Age, principal components, assessment center, polyexposure socre, clinical risk score
PPM000040 PGS000020
(dGRS1000)
PSS000025|
European Ancestry|
6,280 individuals
PGP000010 |
Läll K et al. Genet Med (2016)
Reported Trait: Incident type 2 diabetes HR: 1.48 [1.32, 1.66] C-index: 0.79 [0.771, 0.812] BMI category, smoking level, waist-to-hip ratio, waist circumference, physical activity level, history of high blood glucose, fruit and vegetable consumption, and sex. Cox age-as-time-scale
PPM000132 PGS000021
(GRS1)
PSS000083|
European Ancestry|
2,768 individuals
PGP000038 |
Patel KA et al. Diabetes (2016)
|Ext.
Reported Trait: Type 1 diabetes aetiology (non-monogenic) AUROC: 0.87 [0.86, 0.89] Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation
PPM000041 PGS000021
(GRS1)
PSS000026|
European Ancestry|
223 individuals
PGP000011 |
Oram RA et al. Diabetes Care (2015)
Reported Trait: Severe insulin deficiency AUROC: 0.96 [0.94, 0.99] AUROC (without covariates): 0.87 islet auto-antibody status, body mass index (BMI), age at diagnosis
PPM000046 PGS000021
(GRS1)
PSS000030|
African Ancestry|
3,949 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.798
PPM000049 PGS000021
(GRS1)
PSS000032|
European Ancestry|
374,000 individuals
PGP000014 |
Sharp SA et al. Diabetes Care (2019)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.893
PPM000042 PGS000022
(T1D_GRS)
PSS000029|
European Ancestry|
1,447 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.8508 AUROCs are reported with respect to unrelated-control samples
PPM000043 PGS000022
(T1D_GRS)
PSS000028|
Hispanic or Latin American Ancestry|
252 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.9003 AUROCs are reported with respect to unrelated-control samples
PPM000044 PGS000022
(T1D_GRS)
PSS000027|
African Ancestry|
299 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.7522 AUROCs are reported with respect to unrelated-control samples
PPM000045 PGS000023
(AA_GRS)
PSS000030|
African Ancestry|
3,949 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.87 NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations)
PPM000047 PGS000023
(AA_GRS)
PSS000031|
African Ancestry|
145 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.779
PPM000048 PGS000024
(GRS2)
PSS000032|
European Ancestry|
374,000 individuals
PGP000014 |
Sharp SA et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.921 Youden index: 0.698
PPM000753 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) AUROC: 0.93 autoantibodies, family history
PPM000754 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) AUROC: 0.87 autoantibodies, family history
PPM000755 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) AUROC: 0.96 autoantibodies, family history
PPM000751 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) AUROC: 0.96 autoantibodies, family history
PPM000752 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) AUROC: 0.94 autoantibodies, family history
PPM000750 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) AUROC: 0.73 [0.7, 0.77]
PPM002250 PGS000024
(GRS2)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.0 [0.93, 1.07] PC1-10 8 proxy variants were used to evaluate this score
PPM002251 PGS000024
(GRS2)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Moderate Obesity-related Diabetes OR: 1.01 [0.95, 1.08] PC1-10 8 proxy variants were used to evaluate this score
PPM002252 PGS000024
(GRS2)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Moderate Age-Related Diabetes OR: 0.99 [0.94, 1.04] PC1-10 8 proxy variants were used to evaluate this score
PPM002249 PGS000024
(GRS2)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.0 [0.93, 1.07] PC1-10 8 proxy variants were used to evaluate this score
PPM002248 PGS000024
(GRS2)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Autoimmune Diabetes OR: 2.55 [2.28, 2.86] PC1-10 8 proxy variants were used to evaluate this score
PPM000062 PGS000031
(GRSt)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [1.04, 1.08] C-index: 0.906 [0.892, 0.92] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000063 PGS000031
(GRSt)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [1.02, 1.1] C-index: 0.853 [0.81, 0.896] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000064 PGS000031
(GRSt)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.05 [1.0, 1.09] C-index: 0.771 [0.727, 0.814] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000065 PGS000032
(GRSB)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.1 [1.06, 1.14] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000066 PGS000032
(GRSB)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.09 [1.02, 1.17] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000067 PGS000032
(GRSB)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [0.99, 1.15] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM002415 PGS000032
(GRSB)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
|Ext.
Reported Trait: Cystic-fibrosis related diabetes onset HR: 1.192 PCs(1-4), site of recruitment
PPM000068 PGS000033
(GRSIR)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 0.98 [0.93, 1.04] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000069 PGS000033
(GRSIR)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.01 [0.91, 1.12] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000070 PGS000033
(GRSIR)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [0.99, 1.15] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000080 PGS000036
(gePS_T2D)
PSS000054|
European Ancestry|
324,870 individuals
PGP000024 |
Udler MS et al. Endocr Rev (2019)
|Ext.
Reported Trait: Type 2 diabetes AUROC: 0.66 genotyping array, first 6 PCs of ancestry
PPM000081 PGS000036
(gePS_T2D)
PSS000054|
European Ancestry|
324,870 individuals
PGP000024 |
Udler MS et al. Endocr Rev (2019)
|Ext.
Reported Trait: Type 2 diabetes AUROC: 0.73 age, sex, genotyping array, first 6 PCs of ancestry
PPM000112 PGS000048
(OCPRS_Overall)
PSS000072|
European Ancestry|
15,252 individuals
PGP000033 |
Kuchenbaecker KB et al. J Natl Cancer Inst (2017)
Reported Trait: Ovarian cancer in BRCA1 mutation carriers HR: 1.28 [1.22, 1.34] C-index: 0.579 [0.559, 0.6] Country, birth year
PPM000113 PGS000048
(OCPRS_Overall)
PSS000073|
European Ancestry|
8,211 individuals
PGP000033 |
Kuchenbaecker KB et al. J Natl Cancer Inst (2017)
Reported Trait: Ovarian cancer in BRCA2 mutation carriers HR: 1.49 [1.34, 1.65] C-index: 0.628 [0.592, 0.665] Country, birth year
PPM000188 PGS000068
(PRS_EOC)
PSS000108|
European Ancestry|
4,095 individuals
PGP000048 |
Yang X et al. J Med Genet (2018)
Reported Trait: all invasive epithelial ovarian cancer OR: 1.32 [1.21, 1.45] C-index: 0.58 [0.55, 0.6]
PPM000189 PGS000069
(PRS_sEOC)
PSS000108|
European Ancestry|
4,095 individuals
PGP000048 |
Yang X et al. J Med Genet (2018)
Reported Trait: serous epithelial ovarian cancer OR: 1.43 [1.29, 1.58] C-index: 0.6 [0.57, 0.63]
PPM000199 PGS000079
(CC_Melanoma)
PSS000118|
European Ancestry|
417,136 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Melanoma OR: 1.44 [1.41, 1.48] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002045 PGS000079
(CC_Melanoma)
PSS001018|
European Ancestry|
392,803 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident melanoma HR: 1.43 [1.36, 1.49] AUROC: 0.652
C-index: 0.663 (0.008)
Age at assessment, sex, genotyping array, PCs(1-15), frequency of UV protection use (always vs. most times vs. never out in the sun vs. never), time outdoors in summer (hours per day), ease of tanning (very easily, vs. moderate vs mild vs. mostly burn) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM000202 PGS000082
(CC_Ovary)
PSS000121|
European Ancestry|
220,909 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Ovarian cancer OR: 1.14 [1.08, 1.2] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002048 PGS000082
(CC_Ovary)
PSS001021|
European Ancestry|
211,958 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident ovarian cancer HR: 1.13 [1.04, 1.24] AUROC: 0.656
C-index: 0.655 (0.015)
Age at assessment, family history of breast cancer, genotyping array, PCs(1-15), parity ( ≥1 live birth vs. none), body mass index, Menopausal status (pre-menopausal vs. post-menopausal vs. unknown or hysterectomy), ever used hormone replacement therapy, oral contraceptive use (never used (0) vs. <20 years vs. ≥20 years), BMI*menopausal status C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM000203 PGS000083
(CC_Pancreas)
PSS000122|
European Ancestry|
411,019 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Pancreatic cancer OR: 1.44 [1.33, 1.55] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002049 PGS000083
(CC_Pancreas)
PSS001022|
European Ancestry|
391,491 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident pancreatic cancer HR: 1.49 [1.36, 1.62] AUROC: 0.745
C-index: 0.742 (0.012)
Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM000206 PGS000086
(CC_Testis)
PSS000125|
European Ancestry|
170,680 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Testicular cancer OR: 2.29 [2.13, 2.47] Genotyping array, age, 10 PCs.
PPM002051 PGS000086
(CC_Testis)
PSS001024|
European Ancestry|
179,537 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident testicular cancer HR: 2.18 [1.66, 2.87] AUROC: 0.783
C-index: 0.749 (0.034)
Age at assessment, genotyping array, PCs(1-15) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM000207 PGS000087
(CC_Thyroid)
PSS000126|
European Ancestry|
411,118 individuals
PGP000050 |
Graff RE et al. Nat Commun (2021)
Reported Trait: Thyroid cancer OR: 1.55 [1.44, 1.67] Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. Results from meta-analysis of GERA and UKB
PPM002052 PGS000087
(CC_Thyroid)
PSS001025|
European Ancestry|
391,189 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
|Ext.
Reported Trait: Incident thyroid cancer HR: 1.57 [1.36, 1.82] AUROC: 0.679
C-index: 0.666 (0.023)
Age at assessment, sex,, genotyping array, PCs(1-15), body mass index (BMI <25 vs. 25≤BMI<30, BMI≥30) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM000342 PGS000118
(MEL29)
PSS000207|
European Ancestry|
20,468 individuals
PGP000055 |
Fritsche LG et al. PLoS Genet (2019)
Reported Trait: Skin cancer OR: 1.3 [1.26, 1.34] AUROC: 0.57 [0.56, 0.58] age, sex, batch, PC1-4
PPM000339 PGS000118
(MEL29)
PSS000206|
European Ancestry|
20,468 individuals
PGP000055 |
Fritsche LG et al. PLoS Genet (2019)
Reported Trait: Melanoma OR: 1.48 [1.41, 1.56] AUROC: 0.61 [0.59, 0.62] age, sex, batch, PC1-4
PPM000348 PGS000118
(MEL29)
PSS000210|
European Ancestry|
29,898 individuals
PGP000055 |
Fritsche LG et al. PLoS Genet (2019)
Reported Trait: Melanoma OR: 1.5 [1.44, 1.55] age, sex, genotyping array, first 4 genotype PCs
PPM000345 PGS000118
(MEL29)
PSS000211|
European Ancestry|
149,857 individuals
PGP000055 |
Fritsche LG et al. PLoS Genet (2019)
Reported Trait: Skin cancer OR: 1.2 [1.22, 1.36] age, sex, genotyping array, first 4 genotype PCs
PPM000404 PGS000125
(Qi_T2D_2017)
PSS000232|
Hispanic or Latin American Ancestry|
7,746 individuals
PGP000062 |
Qi Q et al. Diabetes (2017)
Reported Trait: Type 2 Diabetes OR (Odds Ratio, per risk allele): 1.07 [1.06, 1.08] center, age, sex, 5 PCs of ancestry Covariance matrices corresponding to genetic relatedness (kinship), household, and census block group were included as random effects in the mixed model analysis
PPM000488 PGS000157
(cGRS_Melanoma)
PSS000277|
European Ancestry|
13,877 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Melanoma Odds Ratio (OR; high vs. average risk groups): 1.72 [1.37, 2.16]
PPM000477 PGS000157
(cGRS_Melanoma)
PSS000277|
European Ancestry|
13,877 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Melanoma Mean realative risk: 1.2 [1.14, 1.26]
Wilcoxon test (case vs. control) p-value: 5.99e-11
PPM000489 PGS000158
(cGRS_Ovarian)
PSS000278|
European Ancestry|
7,551 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Ovarian cancer Odds Ratio (OR; high vs. average risk groups): 1.63 [1.3, 2.06]
PPM000478 PGS000158
(cGRS_Ovarian)
PSS000278|
European Ancestry|
7,551 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Ovarian cancer Mean realative risk: 1.12 [1.08, 1.16]
Wilcoxon test (case vs. control) p-value: 0.00015
PPM000490 PGS000159
(cGRS_Pancreatic)
PSS000279|
European Ancestry|
13,590 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Pancreatic cancer Odds Ratio (OR; high vs. average risk groups): 1.67 [1.1, 2.53]
PPM000479 PGS000159
(cGRS_Pancreatic)
PSS000279|
European Ancestry|
13,590 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Pancreatic cancer Mean realative risk: 1.13 [1.07, 1.18]
Wilcoxon test (case vs. control) p-value: 0.00015
PPM000493 PGS000162
(cGRS_Thyroid)
PSS000282|
European Ancestry|
13,814 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Thyroid cancer Odds Ratio (OR; high vs. average risk groups): 1.7 [1.29, 2.25]
PPM000482 PGS000162
(cGRS_Thyroid)
PSS000282|
European Ancestry|
13,814 individuals
PGP000075 |
Shi Z et al. Cancer Med (2019)
Reported Trait: Thyroid cancer Mean realative risk: 1.09 [1.04, 1.15]
Wilcoxon test (case vs. control) p-value: 4e-05
PPM000631 PGS000207
(TC10_Ohio)
PSS000342|
European Ancestry|
3,137 individuals
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Reported Trait: Thyroid cancer AUROC: 0.692 [0.673, 0.71] gender, birth year, family history of disease (1st or 2nd degree relative) AUROC (Clinical factors alone) = 0.585 [0.565 - 0.605]
PPM000632 PGS000208
(TC10_Iceland)
PSS000341|
European Ancestry|
130,279 individuals
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Reported Trait: Thyroid cancer AUROC: 0.751 [0.736, 0.768] gender, birth year, family history of disease (1st or 2nd degree relative) AUROC (Clinical factors alone) = 0.697 [0.680 - 0.714]
PPM000633 PGS000209
(TC10_UKB)
PSS000343|
European Ancestry|
408,479 individuals
PGP000085 |
Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020)
Reported Trait: Thyroid cancer AUROC: 0.694 [0.673, 0.716] gender, birth year AUROC (Clinical factors alone) = 0.629 [0.606 - 0.651]
PPM000897 PGS000330
(PRS_T2D)
PSS000441|
European Ancestry|
21,030 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Incident type 2 diabetes C-index: 0.845 age, sex, BMI, history of stroke or CHD, parental history of diabetes, SBP, DBP, HDL, triglycerides, FINRISK cohort, genotyping array/batch, 10 ancestry PCs 10-year risk
PPM000892 PGS000330
(PRS_T2D)
PSS000441|
European Ancestry|
21,030 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Incident type 2 diabetes HR: 1.7 [1.63, 1.78] C-index: 0.763 age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs 10-year risk
PPM000887 PGS000330
(PRS_T2D)
PSS000448|
European Ancestry|
135,300 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Type 2 diabetes (incident and prevalent cases) HR: 1.74 [1.72, 1.77] genotyping array/batch, 10 ancestry PCs, stratified by sex
PPM000922 PGS000339
(PRS22_CM)
PSS000464|
European Ancestry|
1,885 individuals
PGP000106 |
Law MH et al. Hum Mol Genet (2020)
Reported Trait: Cutaneous melanoma in multiplex melanoma families Difference of PRS (deltaPRS; unaffected melanoma family members vs. unrelated controls): 0.347 (0.104) PCs (1-10) *Sample overlap between the controls used in this analysis and score development
PPM000921 PGS000339
(PRS22_CM)
PSS000463|
European Ancestry|
3,066 individuals
PGP000106 |
Law MH et al. Hum Mol Genet (2020)
Reported Trait: Cutaneous melanoma in multiplex melanoma families Difference of PRS (deltaPRS; melanoma family cases vs. unrelated controls): 0.505 (0.036) PCs (1-10) *Sample overlap between the controls used in this analysis and score development
PPM001030 PGS000351
(PRS_EOC)
PSS000524|
European Ancestry|
18,935 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Ovarian cancer in BRCA1 carriers HR: 1.31 [1.24, 1.39] birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives
PPM001031 PGS000351
(PRS_EOC)
PSS000528|
European Ancestry|
12,339 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Ovarian cancer in BRCA2 carriers HR: 1.42 [1.28, 1.58] birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives
PPM001032 PGS000352
(PRS_HGS)
PSS000524|
European Ancestry|
18,935 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Ovarian cancer in BRCA1 carriers HR: 1.32 [1.25, 1.4] birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives
PPM001033 PGS000352
(PRS_HGS)
PSS000528|
European Ancestry|
12,339 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Ovarian cancer in BRCA2 carriers HR: 1.43 [1.29, 1.59] birth cohort, PCs(1-4) of ancestry, family history in first- and second-degree relatives
PPM001036 PGS000352
(PRS_HGS)
PSS000530|
European Ancestry|
3,152 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Incident ovarian cancer in BRCA1 carriers HR: 1.28 [1.06, 1.55] family history of the appropriate cancer in first- and second-degree relatives
PPM001037 PGS000352
(PRS_HGS)
PSS000532|
European Ancestry|
2,495 individuals
PGP000117 |
Barnes DR et al. Genet Med (2020)
Reported Trait: Incident ovarian cancer in BRCA2 carriers HR: 1.45 [1.13, 1.86] family history of the appropriate cancer in first- and second-degree relatives
PPM001070 PGS000385
(PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608)
PSS000565|
European Ancestry|
3,591 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Pancreatic cancer OR: 1.384 [1.235, 1.552]
β: 0.325 (0.0583)
AUROC: 0.589 [0.559, 0.622] Nagelkerke's Pseudo-R²: 0.019
Brier score: 0.082
Odds Ratio (OR, top 1% vs. Rest): 2.58 [1.19, 5.57]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608
PPM001071 PGS000386
(PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608)
PSS000565|
European Ancestry|
3,591 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Pancreatic cancer OR: 1.342 [1.199, 1.503]
β: 0.294 (0.0577)
AUROC: 0.579 [0.548, 0.611] Nagelkerke's Pseudo-R²: 0.0157
Brier score: 0.0822
Odds Ratio (OR, top 1% vs. Rest): 1.64 [0.655, 4.12]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608
PPM001093 PGS000408
(PRSWEB_PHECODE172.1_20001-1059_P_5e-08_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.384 [1.311, 1.461]
β: 0.325 (0.0276)
AUROC: 0.576 [0.561, 0.593] Nagelkerke's Pseudo-R²: 0.0217
Brier score: 0.0957
Odds Ratio (OR, top 1% vs. Rest): 2.25 [1.48, 3.42]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_20001-1059_P_5e-08_MGI_20200608
PPM001094 PGS000409
(PRSWEB_PHECODE172.1_20001-1059_PRS-CS_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.192 [1.126, 1.263]
β: 0.176 (0.0292)
AUROC: 0.547 [0.531, 0.563] Nagelkerke's Pseudo-R²: 0.0061
Brier score: 0.0966
Odds Ratio (OR, top 1% vs. Rest): 1.94 [1.25, 3.02]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_20001-1059_PRS-CS_MGI_20200608
PPM001095 PGS000410
(PRSWEB_PHECODE172.1_20001-1059_PT_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.399 [1.327, 1.476]
β: 0.336 (0.0272)
AUROC: 0.578 [0.562, 0.594] Nagelkerke's Pseudo-R²: 0.0239
Brier score: 0.0956
Odds Ratio (OR, top 1% vs. Rest): 2.65 [1.79, 3.93]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_20001-1059_PT_MGI_20200608
PPM001096 PGS000411
(PRSWEB_PHECODE172.1_20001-1059_LASSOSUM_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.378 [1.308, 1.451]
β: 0.32 (0.0265)
AUROC: 0.571 [0.555, 0.587] Nagelkerke's Pseudo-R²: 0.0222
Brier score: 0.0957
Odds Ratio (OR, top 1% vs. Rest): 2.0 [1.29, 3.09]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_20001-1059_LASSOSUM_MGI_20200608
PPM001097 PGS000412
(PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_P_5e-08_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.414 [1.338, 1.495]
β: 0.347 (0.0282)
AUROC: 0.585 [0.569, 0.6] Nagelkerke's Pseudo-R²: 0.0236
Brier score: 0.0955
Odds Ratio (OR, top 1% vs. Rest): 3.26 [2.26, 4.7]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_P_5e-08_MGI_20200608
PPM001098 PGS000413
(PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PRS-CS_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.27 [1.199, 1.346]
β: 0.239 (0.0294)
AUROC: 0.568 [0.552, 0.584] Nagelkerke's Pseudo-R²: 0.0109
Brier score: 0.0964
Odds Ratio (OR, top 1% vs. Rest): 2.09 [1.35, 3.22]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PRS-CS_MGI_20200608
PPM001099 PGS000414
(PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PT_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.44 [1.363, 1.522]
β: 0.365 (0.0283)
AUROC: 0.593 [0.576, 0.609] Nagelkerke's Pseudo-R²: 0.026
Brier score: 0.0954
Odds Ratio (OR, top 1% vs. Rest): 2.97 [2.02, 4.36]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_PT_MGI_20200608
PPM001100 PGS000415
(PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_LASSOSUM_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.391 [1.318, 1.467]
β: 0.33 (0.0272)
AUROC: 0.578 [0.562, 0.595] Nagelkerke's Pseudo-R²: 0.0227
Brier score: 0.0957
Odds Ratio (OR, top 1% vs. Rest): 2.34 [1.55, 3.53]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C3-MELANOMA-SKIN_LASSOSUM_MGI_20200608
PPM001101 PGS000416
(PRSWEB_PHECODE172.1_C43_P_5e-08_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.473 [1.394, 1.557]
β: 0.388 (0.0282)
AUROC: 0.598 [0.582, 0.613] Nagelkerke's Pseudo-R²: 0.0297
Brier score: 0.0952
Odds Ratio (OR, top 1% vs. Rest): 2.88 [1.96, 4.21]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C43_P_5e-08_MGI_20200608
PPM001102 PGS000417
(PRSWEB_PHECODE172.1_C43_PRS-CS_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.228 [1.159, 1.3]
β: 0.205 (0.0294)
AUROC: 0.556 [0.541, 0.571] Nagelkerke's Pseudo-R²: 0.00812
Brier score: 0.0965
Odds Ratio (OR, top 1% vs. Rest): 1.88 [1.2, 2.95]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C43_PRS-CS_MGI_20200608
PPM001103 PGS000418
(PRSWEB_PHECODE172.1_C43_PT_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.473 [1.394, 1.557]
β: 0.388 (0.0282)
AUROC: 0.598 [0.582, 0.613] Nagelkerke's Pseudo-R²: 0.0297
Brier score: 0.0952
Odds Ratio (OR, top 1% vs. Rest): 2.88 [1.96, 4.21]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C43_PT_MGI_20200608
PPM001104 PGS000419
(PRSWEB_PHECODE172.1_C43_LASSOSUM_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.348 [1.279, 1.421]
β: 0.299 (0.0268)
AUROC: 0.565 [0.549, 0.583] Nagelkerke's Pseudo-R²: 0.0188
Brier score: 0.0959
Odds Ratio (OR, top 1% vs. Rest): 1.93 [1.24, 3.0]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_C43_LASSOSUM_MGI_20200608
PPM001105 PGS000420
(PRSWEB_PHECODE172.1_D03_PT_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.066 [1.007, 1.128]
β: 0.0639 (0.029)
AUROC: 0.516 [0.5, 0.533] Nagelkerke's Pseudo-R²: 0.00074
Brier score: 0.0969
Odds Ratio (OR, top 1% vs. Rest): 1.07 [0.603, 1.9]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_D03_PT_MGI_20200608
PPM001106 PGS000421
(PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.453 [1.37, 1.541]
β: 0.374 (0.03)
AUROC: 0.6 [0.584, 0.616] Nagelkerke's Pseudo-R²: 0.0257
Brier score: 0.0955
Odds Ratio (OR, top 1% vs. Rest): 2.39 [1.58, 3.61]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_MGI_20200608
PPM001107 PGS000422
(PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_UKB_20200608)
PSS000567|
European Ancestry|
14,482 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.539 [1.454, 1.629]
β: 0.431 (0.029)
AUROC: 0.615 [0.599, 0.63] Nagelkerke's Pseudo-R²: 0.0332
Brier score: 0.0813
Odds Ratio (OR, top 1% vs. Rest): 2.57 [1.75, 3.77]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_P_5e-08_UKB_20200608
PPM001108 PGS000423
(PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx β: 0.394 (0.0301)
OR: 1.484 [1.399, 1.574]
AUROC: 0.608 [0.592, 0.623] Nagelkerke's Pseudo-R²: 0.0289
Brier score: 0.0954
Odds Ratio (OR, top 1% vs. Rest): 2.93 [2.0, 4.3]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_MGI_20200608
PPM001109 PGS000424
(PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_UKB_20200608)
PSS000567|
European Ancestry|
14,482 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.563 [1.475, 1.656]
β: 0.447 (0.0294)
AUROC: 0.619 [0.603, 0.634] Nagelkerke's Pseudo-R²: 0.035
Brier score: 0.0812
Odds Ratio (OR, top 1% vs. Rest): 3.12 [2.18, 4.47]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_GWAS-Catalog-r2019-05-03-X172.1_PT_UKB_20200608
PPM001110 PGS000425
(PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.453 [1.369, 1.542]
β: 0.374 (0.0304)
AUROC: 0.601 [0.585, 0.617] Nagelkerke's Pseudo-R²: 0.0255
Brier score: 0.0955
Odds Ratio (OR, top 1% vs. Rest): 2.54 [1.7, 3.8]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_MGI_20200608
PPM001111 PGS000426
(PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_UKB_20200608)
PSS000567|
European Ancestry|
14,482 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.551 [1.463, 1.643]
β: 0.439 (0.0296)
AUROC: 0.62 [0.604, 0.635] Nagelkerke's Pseudo-R²: 0.0335
Brier score: 0.0813
Odds Ratio (OR, top 1% vs. Rest): 2.81 [1.93, 4.07]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_Melanoma-Ransohoff_P_5e-08_UKB_20200608
PPM001112 PGS000427
(PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.453 [1.369, 1.542]
β: 0.374 (0.0304)
AUROC: 0.601 [0.585, 0.617] Nagelkerke's Pseudo-R²: 0.0255
Brier score: 0.0955
Odds Ratio (OR, top 1% vs. Rest): 2.54 [1.7, 3.8]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_MGI_20200608
PPM001113 PGS000428
(PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_UKB_20200608)
PSS000567|
European Ancestry|
14,482 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.551 [1.463, 1.643]
β: 0.439 (0.0296)
AUROC: 0.62 [0.604, 0.635] Nagelkerke's Pseudo-R²: 0.0335
Brier score: 0.0813
Odds Ratio (OR, top 1% vs. Rest): 2.81 [1.93, 4.07]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_Melanoma-Ransohoff_PT_UKB_20200608
PPM001114 PGS000429
(PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_P_5e-08_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.503 [1.422, 1.589]
β: 0.408 (0.0284)
AUROC: 0.606 [0.591, 0.622] Nagelkerke's Pseudo-R²: 0.0332
Brier score: 0.0951
Odds Ratio (OR, top 1% vs. Rest): 2.62 [1.77, 3.88]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_P_5e-08_MGI_20200608
PPM001115 PGS000430
(PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PRS-CS_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.219 [1.151, 1.292]
β: 0.198 (0.0296)
AUROC: 0.555 [0.54, 0.573] Nagelkerke's Pseudo-R²: 0.00721
Brier score: 0.0965
Odds Ratio (OR, top 1% vs. Rest): 1.64 [1.01, 2.66]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PRS-CS_MGI_20200608
PPM001116 PGS000431
(PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PT_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.486 [1.405, 1.571]
β: 0.396 (0.0285)
AUROC: 0.604 [0.587, 0.62] Nagelkerke's Pseudo-R²: 0.0312
Brier score: 0.0952
Odds Ratio (OR, top 1% vs. Rest): 2.97 [2.04, 4.34]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_PT_MGI_20200608
PPM001117 PGS000432
(PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_LASSOSUM_MGI_20200608)
PSS000543|
European Ancestry|
11,974 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Melanomas of skin, dx or hx OR: 1.391 [1.318, 1.467]
β: 0.33 (0.0273)
AUROC: 0.582 [0.566, 0.599] Nagelkerke's Pseudo-R²: 0.0228
Brier score: 0.0957
Odds Ratio (OR, top 1% vs. Rest): 1.99 [1.29, 3.07]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE172.1_UKBB-SAIGE-HRC-X172.1_LASSOSUM_MGI_20200608
PPM001229 PGS000544
(PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_P_5e-08_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.12 [1.021, 1.23]
β: 0.114 (0.0475)
AUROC: 0.532 [0.506, 0.559] Nagelkerke's Pseudo-R²: 0.00239
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 0.923 [0.347, 2.45]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_P_5e-08_UKB_20200608
PPM001230 PGS000545
(PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_PT_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.12 [1.021, 1.23]
β: 0.114 (0.0475)
AUROC: 0.532 [0.506, 0.559] Nagelkerke's Pseudo-R²: 0.00239
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 0.923 [0.347, 2.45]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_GWAS-Catalog-r2019-05-03-X184.11_PT_UKB_20200608
PPM001231 PGS000546
(PRSWEB_PHECODE184.11_Phelan-ENOC_PRS-CS_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.119 [1.017, 1.231]
β: 0.112 (0.0488)
AUROC: 0.526 [0.498, 0.554] Nagelkerke's Pseudo-R²: 0.00221
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 1.97 [0.973, 4.0]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-ENOC_PRS-CS_UKB_20200608
PPM001232 PGS000547
(PRSWEB_PHECODE184.11_Phelan-EPOC_P_5e-08_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.156 [1.051, 1.27]
β: 0.145 (0.0482)
AUROC: 0.544 [0.517, 0.573] Nagelkerke's Pseudo-R²: 0.00379
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 0.922 [0.347, 2.45]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-EPOC_P_5e-08_UKB_20200608
PPM001233 PGS000548
(PRSWEB_PHECODE184.11_Phelan-EPOC_LASSOSUM_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.132 [1.03, 1.244]
β: 0.124 (0.0483)
AUROC: 0.538 [0.512, 0.565] Nagelkerke's Pseudo-R²: 0.00277
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 1.13 [0.463, 2.77]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-EPOC_LASSOSUM_UKB_20200608
PPM001234 PGS000549
(PRSWEB_PHECODE184.11_Phelan-IEOC_P_5e-08_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.263 [1.15, 1.387]
β: 0.234 (0.0479)
AUROC: 0.567 [0.539, 0.595] Nagelkerke's Pseudo-R²: 0.00996
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-IEOC_P_5e-08_UKB_20200608
PPM001235 PGS000550
(PRSWEB_PHECODE184.11_Phelan-IEOC_PRS-CS_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.286 [1.169, 1.414]
β: 0.251 (0.0485)
AUROC: 0.568 [0.542, 0.595] Nagelkerke's Pseudo-R²: 0.0113
Brier score: 0.0823
Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.838, 3.7]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-IEOC_PRS-CS_UKB_20200608
PPM001236 PGS000551
(PRSWEB_PHECODE184.11_Phelan-IEOC_PT_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.234 [1.125, 1.354]
β: 0.21 (0.0473)
AUROC: 0.558 [0.53, 0.586] Nagelkerke's Pseudo-R²: 0.00819
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 1.55 [0.71, 3.38]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-IEOC_PT_UKB_20200608
PPM001237 PGS000552
(PRSWEB_PHECODE184.11_Phelan-IEOC_LASSOSUM_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.19 [1.084, 1.308]
β: 0.174 (0.048)
AUROC: 0.552 [0.523, 0.58] Nagelkerke's Pseudo-R²: 0.00552
Brier score: 0.0825
Odds Ratio (OR, top 1% vs. Rest): 1.97 [0.97, 3.99]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-IEOC_LASSOSUM_UKB_20200608
PPM001238 PGS000553
(PRSWEB_PHECODE184.11_Phelan-LSASBOC_P_5e-08_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.188 [1.079, 1.308]
β: 0.172 (0.0491)
AUROC: 0.556 [0.53, 0.584] Nagelkerke's Pseudo-R²: 0.00531
Brier score: 0.0825
Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-LSASBOC_P_5e-08_UKB_20200608
PPM001239 PGS000554
(PRSWEB_PHECODE184.11_Phelan-LSASBOC_PRS-CS_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.11 [1.009, 1.221]
β: 0.104 (0.0486)
AUROC: 0.522 [0.491, 0.548] Nagelkerke's Pseudo-R²: 0.00193
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 3.92 [2.27, 6.79]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-LSASBOC_PRS-CS_UKB_20200608
PPM001240 PGS000555
(PRSWEB_PHECODE184.11_Phelan-LSASBOC_PT_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.133 [1.03, 1.245]
β: 0.125 (0.0483)
AUROC: 0.539 [0.513, 0.568] Nagelkerke's Pseudo-R²: 0.00282
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 2.18 [1.11, 4.3]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-LSASBOC_PT_UKB_20200608
PPM001241 PGS000556
(PRSWEB_PHECODE184.11_Phelan-LSASBOC_LASSOSUM_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.122 [1.022, 1.233]
β: 0.116 (0.0478)
AUROC: 0.516 [0.489, 0.544] Nagelkerke's Pseudo-R²: 0.00242
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 2.4 [1.24, 4.62]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-LSASBOC_LASSOSUM_UKB_20200608
PPM001242 PGS000557
(PRSWEB_PHECODE184.11_Phelan-OCCC_PRS-CS_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.149 [1.045, 1.262]
β: 0.139 (0.048)
AUROC: 0.534 [0.508, 0.562] Nagelkerke's Pseudo-R²: 0.00348
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 1.55 [0.71, 3.38]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-OCCC_PRS-CS_UKB_20200608
PPM001243 PGS000558
(PRSWEB_PHECODE184.11_Phelan-OCCC_LASSOSUM_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.207 [1.102, 1.321]
β: 0.188 (0.0463)
AUROC: 0.546 [0.52, 0.574] Nagelkerke's Pseudo-R²: 0.00676
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-OCCC_LASSOSUM_UKB_20200608
PPM001244 PGS000559
(PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_MGI_20200608)
PSS000550|
European Ancestry|
1,904 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.183 [1.015, 1.378]
β: 0.168 (0.078)
AUROC: 0.554 [0.509, 0.597] Nagelkerke's Pseudo-R²: 0.00516
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 0.784 [0.142, 4.32]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_MGI_20200608
PPM001245 PGS000560
(PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.233 [1.125, 1.352]
β: 0.21 (0.047)
AUROC: 0.552 [0.523, 0.581] Nagelkerke's Pseudo-R²: 0.00819
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_P_5e-08_UKB_20200608
PPM001246 PGS000561
(PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_MGI_20200608)
PSS000550|
European Ancestry|
1,904 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.185 [1.011, 1.39]
β: 0.17 (0.0812)
AUROC: 0.552 [0.513, 0.598] Nagelkerke's Pseudo-R²: 0.00517
Brier score: 0.0827
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_MGI_20200608
PPM001247 PGS000562
(PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.209 [1.099, 1.329]
β: 0.19 (0.0484)
AUROC: 0.552 [0.526, 0.58] Nagelkerke's Pseudo-R²: 0.00646
Brier score: 0.0825
Odds Ratio (OR, top 1% vs. Rest): 1.55 [0.708, 3.38]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_PRS-CS_UKB_20200608
PPM001248 PGS000563
(PRSWEB_PHECODE184.11_Phelan-SIOC_PT_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.192 [1.086, 1.308]
β: 0.175 (0.0476)
AUROC: 0.547 [0.52, 0.574] Brier score: 0.0826
Nagelkerke's Pseudo-R²: 0.00564
Odds Ratio (OR, top 1% vs. Rest): 0.511 [0.142, 1.84]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_PT_UKB_20200608
PPM001249 PGS000564
(PRSWEB_PHECODE184.11_Phelan-SIOC_LASSOSUM_UKB_20200608)
PSS000572|
European Ancestry|
5,196 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of ovary OR: 1.215 [1.106, 1.336]
β: 0.195 (0.0481)
AUROC: 0.556 [0.529, 0.583] Nagelkerke's Pseudo-R²: 0.00692
Brier score: 0.0825
Odds Ratio (OR, top 1% vs. Rest): 1.76 [0.839, 3.69]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE184.11_Phelan-SIOC_LASSOSUM_UKB_20200608
PPM001280 PGS000595
(PRSWEB_PHECODE187.2_20001-1045_P_5e-08_MGI_20200608)
PSS000553|
European Ancestry|
755 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 1.713 [1.33, 2.206]
β: 0.538 (0.129)
AUROC: 0.658 [0.594, 0.719] Nagelkerke's Pseudo-R²: 0.0543
Brier score: 0.0838
Odds Ratio (OR, top 1% vs. Rest): 2.64 [0.535, 13.0]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_20001-1045_P_5e-08_MGI_20200608
PPM001281 PGS000596
(PRSWEB_PHECODE187.2_20001-1045_PT_MGI_20200608)
PSS000553|
European Ancestry|
755 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 1.68 [1.28, 2.206]
β: 0.519 (0.139)
AUROC: 0.649 [0.586, 0.714] Nagelkerke's Pseudo-R²: 0.0475
Brier score: 0.0841
Odds Ratio (OR, top 1% vs. Rest): 3.49 [0.816, 14.9]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_20001-1045_PT_MGI_20200608
PPM001282 PGS000597
(PRSWEB_PHECODE187.2_20001-1045_LASSOSUM_MGI_20200608)
PSS000553|
European Ancestry|
755 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 1.667 [1.296, 2.143]
β: 0.511 (0.128)
AUROC: 0.656 [0.593, 0.717] Nagelkerke's Pseudo-R²: 0.0487
Brier score: 0.084
Odds Ratio (OR, top 1% vs. Rest): 2.72 [0.568, 13.1]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_20001-1045_LASSOSUM_MGI_20200608
PPM001283 PGS000598
(PRSWEB_PHECODE187.2_C3-TESTIS_P_5e-08_MGI_20200608)
PSS000553|
European Ancestry|
755 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 1.639 [1.263, 2.126]
β: 0.494 (0.133)
AUROC: 0.648 [0.581, 0.712] Nagelkerke's Pseudo-R²: 0.0447
Brier score: 0.0841
Odds Ratio (OR, top 1% vs. Rest): 3.85 [0.942, 15.7]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_C3-TESTIS_P_5e-08_MGI_20200608
PPM001284 PGS000599
(PRSWEB_PHECODE187.2_C3-TESTIS_PT_MGI_20200608)
PSS000553|
European Ancestry|
755 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 1.628 [1.281, 2.069]
β: 0.487 (0.122)
AUROC: 0.637 [0.568, 0.703] Nagelkerke's Pseudo-R²: 0.0473
Brier score: 0.0844
Odds Ratio (OR, top 1% vs. Rest): 4.35 [1.08, 17.5]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_C3-TESTIS_PT_MGI_20200608
PPM001285 PGS000600
(PRSWEB_PHECODE187.2_C3-TESTIS_LASSOSUM_MGI_20200608)
PSS000553|
European Ancestry|
755 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 1.619 [1.267, 2.067]
β: 0.482 (0.125)
AUROC: 0.636 [0.565, 0.698] Nagelkerke's Pseudo-R²: 0.046
Brier score: 0.0839
Odds Ratio (OR, top 1% vs. Rest): 6.35 [1.81, 22.3]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_C3-TESTIS_LASSOSUM_MGI_20200608
PPM001286 PGS000601
(PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_MGI_20200608)
PSS000553|
European Ancestry|
755 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 1.438 [1.132, 1.827]
β: 0.363 (0.122)
AUROC: 0.598 [0.526, 0.672] Nagelkerke's Pseudo-R²: 0.0258
Brier score: 0.085
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_MGI_20200608
PPM001287 PGS000602
(PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_UKB_20200608)
PSS000574|
European Ancestry|
1,484 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 2.055 [1.692, 2.496]
β: 0.72 (0.0993)
AUROC: 0.698 [0.656, 0.74] Nagelkerke's Pseudo-R²: 0.0839
Brier score: 0.0795
Odds Ratio (OR, top 1% vs. Rest): 4.6 [1.75, 12.1]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_P_5e-08_UKB_20200608
PPM001288 PGS000603
(PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_MGI_20200608)
PSS000553|
European Ancestry|
755 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 1.625 [1.27, 2.079]
β: 0.485 (0.126)
AUROC: 0.625 [0.557, 0.693] Nagelkerke's Pseudo-R²: 0.044
Brier score: 0.084
Odds Ratio (OR, top 1% vs. Rest): 6.05 [1.73, 21.2]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_MGI_20200608
PPM001289 PGS000604
(PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_UKB_20200608)
PSS000574|
European Ancestry|
1,484 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Malignant neoplasm of testis OR: 2.106 [1.729, 2.565]
β: 0.745 (0.101)
AUROC: 0.703 [0.659, 0.745] Brier score: 0.0793
Nagelkerke's Pseudo-R²: 0.0882
Odds Ratio (OR, top 1% vs. Rest): 4.6 [1.75, 12.1]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE187.2_GWAS-Catalog-r2019-05-03-X187.2_PT_UKB_20200608
PPM001311 PGS000626
(PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.161 [1.048, 1.285]
β: 0.149 (0.052)
AUROC: 0.529 [0.496, 0.559] Nagelkerke's Pseudo-R²: 0.0041
Brier score: 0.0826
Odds Ratio (OR, top 1% vs. Rest): 2.44 [1.18, 5.02]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608
PPM001312 PGS000627
(PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.27 [1.148, 1.405]
β: 0.239 (0.0515)
AUROC: 0.56 [0.53, 0.59] Nagelkerke's Pseudo-R²: 0.0107
Brier score: 0.0824
Odds Ratio (OR, top 1% vs. Rest): 2.42 [1.17, 4.98]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608
PPM001313 PGS000628
(PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.276 [1.155, 1.41]
β: 0.244 (0.0509)
AUROC: 0.565 [0.535, 0.595] Nagelkerke's Pseudo-R²: 0.0114
Brier score: 0.0823
Odds Ratio (OR, top 1% vs. Rest): 1.91 [0.861, 4.22]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608
PPM001314 PGS000629
(PRSWEB_PHECODE193_C73_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer β: 0.114 (0.0517)
OR: 1.121 [1.013, 1.24]
AUROC: 0.52 [0.488, 0.55] Nagelkerke's Pseudo-R²: 0.00247
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 2.15 [1.01, 4.59]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C73_PT_MGI_20200608
PPM001315 PGS000630
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.598 [1.439, 1.775]
β: 0.469 (0.0536)
AUROC: 0.626 [0.597, 0.655] Nagelkerke's Pseudo-R²: 0.0393
Brier score: 0.0811
Odds Ratio (OR, top 1% vs. Rest): 3.53 [1.87, 6.66]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608
PPM001316 PGS000631
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608)
PSS000579|
European Ancestry|
1,778 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.651 [1.41, 1.934]
β: 0.501 (0.0806)
AUROC: 0.636 [0.589, 0.682] Nagelkerke's Pseudo-R²: 0.0478
Brier score: 0.0803
Odds Ratio (OR, top 1% vs. Rest): 4.4 [1.81, 10.7]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608
PPM001317 PGS000632
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.568 [1.412, 1.74]
β: 0.45 (0.0532)
AUROC: 0.618 [0.587, 0.647] Nagelkerke's Pseudo-R²: 0.0365
Brier score: 0.0812
Odds Ratio (OR, top 1% vs. Rest): 5.14 [2.94, 8.99]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608
PPM001318 PGS000633
(PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608)
PSS000579|
European Ancestry|
1,778 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.609 [1.38, 1.876]
β: 0.476 (0.0783)
AUROC: 0.628 [0.582, 0.675] Nagelkerke's Pseudo-R²: 0.0447
Brier score: 0.0804
Odds Ratio (OR, top 1% vs. Rest): 4.41 [1.81, 10.7]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608
PPM001319 PGS000634
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.119 [1.008, 1.241]
β: 0.112 (0.053)
AUROC: 0.535 [0.504, 0.567] Nagelkerke's Pseudo-R²: 0.00228
Brier score: 0.0827
Odds Ratio (OR, top 1% vs. Rest): 1.39 [0.562, 3.45]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608
PPM001320 PGS000635
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.315 [1.194, 1.448]
β: 0.274 (0.0492)
AUROC: 0.569 [0.538, 0.598] Nagelkerke's Pseudo-R²: 0.0151
Brier score: 0.0822
Odds Ratio (OR, top 1% vs. Rest): 1.65 [0.708, 3.83]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608
PPM001321 PGS000636
(PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608)
PSS000558|
European Ancestry|
4,270 individuals
PGP000118 |
Fritsche LG et al. Am J Hum Genet (2020)
Reported Trait: Thyroid cancer OR: 1.385 [1.254, 1.529]
β: 0.325 (0.0507)
AUROC: 0.578 [0.548, 0.607] Nagelkerke's Pseudo-R²: 0.0205
Brier score: 0.0819
Odds Ratio (OR, top 1% vs. Rest): 3.21 [1.67, 6.15]
age, sex, batch PCs 1-4 Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608
PPM001341 PGS000655
(NAFLD-10)
PSS000584|
European Ancestry|
235 individuals
PGP000119 |
Namjou B et al. BMC Med (2019)
Reported Trait: Nonalcoholic fatty liver disease severity (NAFLD activity score above 5) AUROC: 0.724 Odds Ratio (OR, highest vs. lowest quintile): 8.5 [3.45, 20.96] sex, age, PCs (1-3), BMI, study site/medical centre
PPM001340 PGS000655
(NAFLD-10)
PSS000583|
European Ancestry|
9,677 individuals
PGP000119 |
Namjou B et al. BMC Med (2019)
Reported Trait: Nonalcoholic fatty liver disease AUROC: 0.596 Odds Ratio (OR, highest vs. lowest quintile): 2.16 [1.81, 2.58] sex, age, PCs (1-3), BMI, study site/medical centre
PPM001367 PGS000663
(wGRS22)
PSS000598|
European Ancestry|
1,591 individuals
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Reported Trait: Pancreatic cancer OR: 1.37 [1.23, 1.53] Cross validation approach-testing sample = 20%
PPM001368 PGS000663
(wGRS22)
PSS000597|
European Ancestry|
956 individuals
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Reported Trait: Pancreatic cancer (0-10 years of follow-up) OR: 1.46 [1.27, 1.68] Cross validation approach-testing sample = 20%
PPM001369 PGS000663
(wGRS22)
PSS000598|
European Ancestry|
1,591 individuals
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Reported Trait: Pancreatic cancer OR: 1.37 [1.22, 1.53] AUROC: 0.65 matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status Cross validation approach-testing sample = 20%
PPM001370 PGS000663
(wGRS22)
PSS000597|
European Ancestry|
956 individuals
PGP000123 |
Kim J et al. Cancer Epidemiol Biomarkers Prev (2020)
Reported Trait: Pancreatic cancer (0-10 years of follow-up) OR: 1.44 [1.25, 1.67] AUROC: 0.67 matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status Cross validation approach-testing sample = 20%
PPM001596 PGS000704
(HC171)
PSS000792|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Alcoholic cirrhosis AUROC: 0.55471 Age, sex, PCs(1-10)
PPM001607 PGS000704
(HC171)
PSS000793|
European Ancestry|
135,300 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Alcoholic cirrhosis HR: 1.18 [1.11, 1.27] C-index: 0.711 Age as time scale, sex, batch, PCs(1-10)
PPM001604 PGS000712
(T2D_HbA1c_39)
PSS000755|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Type 2 diabetes AUROC: 0.68713 Age, sex, PCs(1-10)
PPM001605 PGS000713
(T2D)
PSS000754|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Type 2 diabetes AUROC: 0.688 Age, sex, PCs(1-10)
PPM001615 PGS000713
(T2D)
PSS000756|
European Ancestry|
135,300 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Type 2 diabetes HR: 1.49 [1.47, 1.51] C-index: 0.669 Age as time scale, sex, batch, PCs(1-10)
PPM001654 PGS000724
(PRS_Ovary)
PSS000858|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident epithelial ovarian cancer AUROC: 0.568 [0.537, 0.598] Genotyping array
PPM001655 PGS000725
(PRS_Pancreas)
PSS000859|
European Ancestry|
400,812 individuals
PGP000135 |
Jia G et al. JNCI Cancer Spectr (2020)
Reported Trait: Incident Pancreatic cancer AUROC: 0.639 [0.613, 0.664] Genotyping array
PPM001656 PGS000726
(PGS12_CIR)
PSS000861|
European Ancestry|
30,469 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Cirrhosis OR: 1.32 Odds Ratio (OR, top 20% vs. bottom 20%): 2.26 [1.87, 2.73] Age, sex, PCs (1-5)
PPM001657 PGS000726
(PGS12_CIR)
PSS000861|
European Ancestry|
30,469 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Biopsy-confirmed cirrhosis OR: 1.39 Odds Ratio (OR, top 20% vs. bottom 20%): 2.21 [1.59, 3.08] Age, sex, PCs (1-5)
PPM001658 PGS000726
(PGS12_CIR)
PSS000861|
European Ancestry|
30,469 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Esophageal varices OR: 1.45 Odds Ratio (OR, top 20% vs. bottom 20%): 3.1 [1.97, 4.9] Age, sex, PCs (1-5)
PPM001659 PGS000726
(PGS12_CIR)
PSS000861|
European Ancestry|
30,469 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Hepatocellular carcioma OR: 1.39 Odds Ratio (OR, top 20% vs. bottom 20%): 2.51 [1.59, 3.97] Age, sex, PCs (1-5)
PPM001660 PGS000726
(PGS12_CIR)
PSS000861|
European Ancestry|
30,469 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Death from liver disease OR: 1.29 Odds Ratio (OR, top 20% vs. bottom 20%): 2.03 [1.24, 3.32] Age, sex, PCs (1-5)
PPM001661 PGS000726
(PGS12_CIR)
PSS000866|
African Ancestry|
1,442 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Cirrhosis Odds Ratio (OR, 20-80% vs. bottom 20%): 3.63 [1.55, 8.5]
Odds Ratio (OR, top 20% risk vs. bottom 20%): 2.44 [0.92, 6.48]
Age, sex, PCs (1-5)
PPM001662 PGS000726
(PGS12_CIR)
PSS000863|
Ancestry Not Reported|
13,826 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Cirrhosis Odds Ratio (OR, top 1% vs. bottom 20%): 3.16 [2.03, 4.9] Age, sex, PCs (1-5)
PPM001663 PGS000726
(PGS12_CIR)
PSS000862|
Ancestry Not Reported|
13,047 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Biopsy-confirmed cirrhosis Odds Ratio (OR, top 1% vs. bottom 20%): 6.12 [3.55, 10.58] Age, sex, PCs (1-5)
PPM001664 PGS000726
(PGS12_CIR)
PSS000864|
European Ancestry|
213 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Cirrhosis in individuals with hepatitis B Odds ratio (OR, top 20% vs. bottom 20%): 4.83 [1.12, 20.0] Age, sex, PCs (1-5)
PPM001665 PGS000726
(PGS12_CIR)
PSS000865|
European Ancestry|
661 individuals
PGP000136 |
Emdin CA et al. Gastroenterology (2020)
Reported Trait: Cirrhosis in individuals with hepatitis C Odds ratio (OR, top 20% vs. bottom 20%): 2.2 [1.2, 4.05] Age, sex, PCs (1-5)
PPM001667 PGS000729
(T2D_PGS)
PSS000869|
European Ancestry|
3,087 individuals
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
Reported Trait: Incident type 2 diabetes HR: 2.0 [1.36, 2.94] age, sex, 10 genetic PCs
PPM001672 PGS000732
(PRS_Melanoma)
PSS000872|
European Ancestry|
88,924 individuals
PGP000138 |
Fontanillas P et al. Nat Commun (2021)
Reported Trait: Melanoma OR: 1.33 [1.29, 1.37] AUROC: 0.579
PPM001827 PGS000743
(PRS_melanoma)
PSS000928|
European Ancestry|
1,460 individuals
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Reported Trait: Melanoma OR: 1.63 [1.46, 1.83] Odds Ratio (OR, top vs. bottom tertile): 2.84 [2.14, 3.77]
Odds Ratio (OR, top vs. bottom decile): 5.62 [3.41, 9.29]
Age, sex, self reported European ancestry Overlap between testing and score development samples, testing <10% of score development
PPM001829 PGS000743
(PRS_melanoma)
PSS000928|
European Ancestry|
1,460 individuals
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Reported Trait: Melanoma AUROC: 0.68 [0.65, 0.71] Traditional risk factors (hair colour, skin colour, eye colour, freckling as an adult, skin photosensitivity, self reported nevi, sunbed use, keratinocyte cancer personal history, first degree family history of melanoma, vacation sun exposure, blistering sunburns as a child), age, sex, self-reported European ancestry
PPM001826 PGS000743
(PRS_melanoma)
PSS000927|
European Ancestry|
1,035 individuals
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Reported Trait: Melanoma OR: 1.75 [1.53, 2.01] Odds Ratio (OR, top vs. bottom tertile): 3.22 [2.3, 4.51]
Odds Ratio (OR, top vs. bottom decile): 5.88 [3.14, 11.03]
Age, sex, recruitment city, self-reported European ancestry Overlap between testing and score development samples, testing <10% of score development
PPM001828 PGS000743
(PRS_melanoma)
PSS000927|
European Ancestry|
1,035 individuals
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Reported Trait: Melanoma AUROC: 0.74 [0.71, 0.77] Traditional risk factors (hair colour, skin colour, eye colour, freckling as an adult, skin photosensitivity, self reported nevi, sunbed use, keratinocyte cancer personal history, first degree family history of melanoma, vacation sun exposure, blistering sunburns as a child), age, sex, recruitment city, self-reported European ancestry
PPM001830 PGS000744
(PRS_melanoma_pigment.pathway)
PSS000927|
European Ancestry|
1,035 individuals
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Reported Trait: Melanoma OR: 1.71 [1.49, 1.96] Odds Ratio (OR, top vs. bottom tertile): 3.11 [2.21, 4.36]
Odds Ratio (OR, top vs. bottom decile): 5.75 [3.09, 10.72]
Age, sex, recruitment city, self-reported European ancestry
PPM001831 PGS000744
(PRS_melanoma_pigment.pathway)
PSS000928|
European Ancestry|
1,460 individuals
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Reported Trait: Melanoma OR: 1.66 [1.49, 1.86] Odds Ratio (OR, top vs. bottom tertile): 2.94 [2.23, 3.88]
Odds Ratio (OR, top vs. bottom decile): 7.0 [4.12, 11.88]
Age, sex, self reported European ancestry
PPM001832 PGS000745
(PRS_melanoma_telomere.pathway)
PSS000927|
European Ancestry|
1,035 individuals
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Reported Trait: Melanoma OR: 1.15 [1.01, 1.31] Odds Ratio (OR, top vs. bottom tertile): 1.4 [1.01, 1.93] Age, sex, recruitment city, self-reported European ancestry
PPM001833 PGS000745
(PRS_melanoma_telomere.pathway)
PSS000928|
European Ancestry|
1,460 individuals
PGP000151 |
Cust AE et al. J Invest Dermatol (2018)
Reported Trait: Melanoma OR: 1.18 [1.06, 1.31] Odds Ratio (OR, top vs. bottom tertile): 1.55 [1.19, 2.02]
Odds Ratio (OR, top vs. bottom decile): 2.0 [1.24, 3.23]
Age, sex, self reported European ancestry
PPM001934 PGS000759
(hypoT)
PSS000970|
European Ancestry|
1,584 individuals
PGP000164 |
Khan Z et al. Nat Commun (2021)
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients HR: 1.52 [1.31, 1.74] meta-analysis p-value: 7.52e-09 5 genotype PCs
PPM001936 PGS000761
(LDpred2_hypoT_PRS)
PSS000970|
European Ancestry|
1,584 individuals
PGP000164 |
Khan Z et al. Nat Commun (2021)
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients HR: 1.49 [1.3, 1.71] meta-analysis p-value: 5.49e-09 5 genotype PCs
PPM001963 PGS000766
(PRS56_CM)
PSS000982|
European Ancestry|
12,712 individuals
PGP000172 |
Bakshi A et al. J Natl Cancer Inst (2021)
Reported Trait: Incident cutaneous melanoma Hazard Ratio (HR, top 20% vs bottom 20%): 2.51 [1.28, 4.92] Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control.
PPM001964 PGS000766
(PRS56_CM)
PSS000982|
European Ancestry|
12,712 individuals
PGP000172 |
Bakshi A et al. J Natl Cancer Inst (2021)
Reported Trait: Incident cutaneous melanoma (males) Hazard Ratio (HR, top 20% vs bottom 20%): 3.7 [1.37, 9.98] Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control.
PPM001965 PGS000766
(PRS56_CM)
PSS000982|
European Ancestry|
12,712 individuals
PGP000172 |
Bakshi A et al. J Natl Cancer Inst (2021)
Reported Trait: Incident cutaneous melanoma (males) Hazard Ratio (HR, middle 60% vs bottom 20%): 2.61 [1.03, 6.63] Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control.
PPM001966 PGS000766
(PRS56_CM)
PSS000982|
European Ancestry|
12,712 individuals
PGP000172 |
Bakshi A et al. J Natl Cancer Inst (2021)
Reported Trait: Prevalent cutaneous melanoma OR: 1.55 [1.42, 1.69] AUROC: 0.64 [0.62, 0.66] Odds Ratio (OR, top 20% vs bottom 20%): 3.66 [2.69, 5.05] Sex, family history Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control.
PPM001967 PGS000766
(PRS56_CM)
PSS000982|
European Ancestry|
12,712 individuals
PGP000172 |
Bakshi A et al. J Natl Cancer Inst (2021)
Reported Trait: Prevalent cutaneous melanoma (males) OR: 1.39 [1.23, 1.57] Family history Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control.
PPM001968 PGS000766
(PRS56_CM)
PSS000982|
European Ancestry|
12,712 individuals
PGP000172 |
Bakshi A et al. J Natl Cancer Inst (2021)
Reported Trait: Prevalent cutaneous melanoma (females) OR: 1.72 [1.53, 1.94] Family history Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control.
PPM001962 PGS000766
(PRS56_CM)
PSS000982|
European Ancestry|
12,712 individuals
PGP000172 |
Bakshi A et al. J Natl Cancer Inst (2021)
Reported Trait: Incident cutaneous melanoma HR: 1.46 [1.2, 1.77] C-index: 0.643 [0.584, 0.702] Sex, melanoma family history, treatment (aspirin/placebo), age at enrolment, PRS*treatment Only 55 of the 56 SNPs within the PGS were utilised. Rs16891982 was not included as the SNP did not pass imputation quality control.
PPM002011 PGS000776
(GRS9_Cirr)
PSS000996|
Ancestry Not Reported|
107,014 individuals
PGP000180 |
Innes H et al. Gastroenterology (2020)
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) C-index: 0.62 [0.59, 0.64] Hazard Ratio (HR, top 20% vs bottom 20%): 3.12 [2.37, 4.12]
PPM002012 PGS000776
(GRS9_Cirr)
PSS000996|
Ancestry Not Reported|
107,014 individuals
PGP000180 |
Innes H et al. Gastroenterology (2020)
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) Hazard Ratio (HR, top 20% vs bottom 20%): 3.16 [2.38, 4.21] Age, sex, BMI, diabetes, units of alcohol consumed per week
PPM002013 PGS000776
(GRS9_Cirr)
PSS000996|
Ancestry Not Reported|
107,014 individuals
PGP000180 |
Innes H et al. Gastroenterology (2020)
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) C-index: 0.677 [0.653, 0.7] Age, sex
PPM002061 PGS000790
(CC_Melanoma_IV)
PSS001018|
European Ancestry|
392,803 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident melanoma HR: 1.44 [1.37, 1.5] AUROC: 0.654
C-index: 0.664 (0.008)
: 0.18 Age at assessment, sex, genotyping array, PCs(1-15), frequency of UV protection use (always vs. most times vs. never out in the sun vs. never), time outdoors in summer (hours per day), ease of tanning (very easily, vs. moderate vs mild vs. mostly burn) C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years.
PPM002064 PGS000793
(CC_Ovary_IV)
PSS001021|
European Ancestry|
211,958 individuals
PGP000186 |
Kachuri L et al. Nat Commun (2020)
Reported Trait: Incident ovarian cancer HR: 1.2 [1.1, 1.32] AUROC: 0.66
C-index: 0.654 (0.015)
: 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.
PPM002147 PGS000813
(PRS46_melanoma)
PSS001053|
European Ancestry|
3,841 individuals
PGP000197 |
Potjer TP et al. J Med Genet (2020)
Reported Trait: Familial cutaneous melanoma in non-carriers of a CDKN2A mutation OR: 2.12 [1.9, 2.35] AUROC: 0.77 [0.75, 0.79] Odds ratio (OR, top 10% vs. middle 20%): 5.7 [3.93, 8.28] Age, sex
PPM002148 PGS000813
(PRS46_melanoma)
PSS001053|
European Ancestry|
3,841 individuals
PGP000197 |
Potjer TP et al. J Med Genet (2020)
Reported Trait: Single familial cutaneous melanoma in non-carriers of a CDKN2A mutation OR: 1.98 [1.77, 2.22] Age, sex
PPM002149 PGS000813
(PRS46_melanoma)
PSS001053|
European Ancestry|
3,841 individuals
PGP000197 |
Potjer TP et al. J Med Genet (2020)
Reported Trait: Multiple familial cutaneous melanoma in non-carriers of a CDKN2A mutation OR: 2.86 [2.3, 3.55] Age, sex
PPM002193 PGS000820
(PRS_hypothyroidism)
PSS001068|
European Ancestry|
51,070 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Spontaneous hypothyroidism OR: 1.33 [1.29, 1.37] AUROC: 0.6 Age, sex, PCs(1-10)
PPM002195 PGS000820
(PRS_hypothyroidism)
PSS001070|
Multi-ancestry (including European)|
744 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.34 [1.08, 1.66] AUROC: 0.6 Age, sex, PCs(1-10)
PPM002197 PGS000820
(PRS_hypothyroidism)
PSS001070|
Multi-ancestry (including European)|
744 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Anti-PD-(L)1 monotherapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.34 [1.07, 1.69] Age, sex, PCs(1-10)
PPM002199 PGS000820
(PRS_hypothyroidism)
PSS001069|
Multi-ancestry (including European)|
561 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.39 [1.07, 1.82] AUROC: 0.64 Age, sex, PCs(1-10)
PPM002198 PGS000820
(PRS_hypothyroidism)
PSS001071|
European Ancestry|
634 individuals
PGP000204 |
Luo J et al. Clin Cancer Res (2021)
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.27 [1.02, 1.59] Age, sex
PPM002240 PGS000832
(T2D-GRS)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.24 [1.16, 1.34] PC1-10
PPM002242 PGS000832
(T2D-GRS)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.77 [1.67, 1.88] PC1-10
PPM002239 PGS000832
(T2D-GRS)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.96 [1.81, 2.12] PC1-10
PPM002238 PGS000832
(T2D-GRS)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.28 [1.16, 1.42] PC1-10
PPM002241 PGS000832
(T2D-GRS)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.73 [1.61, 1.86] PC1-10
PPM002243 PGS000833
(T1D)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.39 [1.25, 1.54] PC1-10
PPM002246 PGS000833
(T1D)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002247 PGS000833
(T1D)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.02 [0.97, 1.07] PC1-10
PPM002244 PGS000833
(T1D)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002245 PGS000833
(T1D)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.03 [0.96, 1.11] PC1-10
PPM002323 PGS000848
(T2D_Adiposity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.11 [1.0, 1.23] PC1-10
PPM002324 PGS000848
(T2D_Adiposity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.1 [1.02, 1.18] PC1-10
PPM002325 PGS000848
(T2D_Adiposity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.11 [1.03, 1.19] PC1-10
PPM002326 PGS000848
(T2D_Adiposity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.2 [1.12, 1.28] PC1-10
PPM002327 PGS000848
(T2D_Adiposity)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.06 [1.0, 1.12] PC1-10
PPM002329 PGS000849
(T2D_Impaired_Lipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.07 [1.0, 1.15] PC1-10
PPM002330 PGS000849
(T2D_Impaired_Lipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.09 [1.01, 1.17] PC1-10
PPM002331 PGS000849
(T2D_Impaired_Lipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.0 [0.93, 1.07] PC1-10
PPM002332 PGS000849
(T2D_Impaired_Lipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.06 [1.0, 1.12] PC1-10
PPM002328 PGS000849
(T2D_Impaired_Lipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.08 [0.97, 1.2] PC1-10
PPM002333 PGS000850
(T2D_Insulin_Action)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.08 [0.98, 1.2] PC1-10
PPM002334 PGS000850
(T2D_Insulin_Action)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.17 [1.09, 1.25] PC1-10
PPM002335 PGS000850
(T2D_Insulin_Action)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.17 [1.09, 1.26] PC1-10
PPM002337 PGS000850
(T2D_Insulin_Action)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.16 [1.1, 1.23] PC1-10
PPM002336 PGS000850
(T2D_Insulin_Action)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.07, 1.22] PC1-10
PPM002338 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.24 [1.12, 1.37] PC1-10
PPM002339 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.32] PC1-10
PPM002340 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002341 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.12, 1.28] PC1-10
PPM002342 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.19 [1.13, 1.26] PC1-10
PPM002343 PGS000852
(T2D_Insulin_Secretion_1)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.01 [0.91, 1.12] PC1-10
PPM002344 PGS000852
(T2D_Insulin_Secretion_1)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.31 [1.22, 1.41] PC1-10
PPM002345 PGS000852
(T2D_Insulin_Secretion_1)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.12] PC1-10
PPM002347 PGS000852
(T2D_Insulin_Secretion_1)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.29 [1.22, 1.37] PC1-10
PPM002346 PGS000852
(T2D_Insulin_Secretion_1)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.26 [1.18, 1.35] PC1-10
PPM002348 PGS000853
(T2D_Insulin_Secretion_2)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.99 [0.9, 1.1] PC1-10
PPM002349 PGS000853
(T2D_Insulin_Secretion_2)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.26 [1.18, 1.36] PC1-10
PPM002350 PGS000853
(T2D_Insulin_Secretion_2)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002351 PGS000853
(T2D_Insulin_Secretion_2)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.18 [1.11, 1.27] PC1-10
PPM002352 PGS000853
(T2D_Insulin_Secretion_2)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.23 [1.17, 1.3] PC1-10
PPM002353 PGS000854
(T2D_BetaCell)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.0 [0.91, 1.11] PC1-10
PPM002354 PGS000854
(T2D_BetaCell)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.32 [1.23, 1.42] PC1-10
PPM002355 PGS000854
(T2D_BetaCell)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002357 PGS000854
(T2D_BetaCell)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.27 [1.2, 1.34] PC1-10
PPM002356 PGS000854
(T2D_BetaCell)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.21 [1.13, 1.3] PC1-10
PPM002358 PGS000855
(T2D_Lipodystrophy)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.12 [1.01, 1.25] PC1-10
PPM002359 PGS000855
(T2D_Lipodystrophy)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.33] PC1-10
PPM002360 PGS000855
(T2D_Lipodystrophy)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.15 [1.07, 1.24] PC1-10
PPM002361 PGS000855
(T2D_Lipodystrophy)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002362 PGS000855
(T2D_Lipodystrophy)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.18 [1.11, 1.24] PC1-10
PPM002363 PGS000856
(T2D_LiverLipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.35 [1.22, 1.51] PC1-10
PPM002364 PGS000856
(T2D_LiverLipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002366 PGS000856
(T2D_LiverLipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002367 PGS000856
(T2D_LiverLipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 0.95 [0.9, 1.01] PC1-10
PPM002365 PGS000856
(T2D_LiverLipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.97 [0.91, 1.05] PC1-10
PPM002368 PGS000857
(T2D_Obesity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.07 [0.97, 1.19] PC1-10
PPM002369 PGS000857
(T2D_Obesity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.08 [1.01, 1.16] PC1-10
PPM002370 PGS000857
(T2D_Obesity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.13 [1.05, 1.22] PC1-10
PPM002371 PGS000857
(T2D_Obesity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)</