PGS Preprint: PGP000517

Publication Information (EuropePMC)
Title Evaluation of polygenic scoring methods in five biobanks reveals greater variability between biobanks than between methods and highlights benefits of ensemble learning
doi 10.1101/2023.11.20.23298215
Publication Date Nov. 16, 2023
Journal medRxiv Preprint
Author(s) Monti R, Eick L, Hudjashov G, Läll K, Kanoni S, Wolford BN, Wingfield B, Pain O, Wharrie S, Jermy B, McMahon A, Hartonen T, Heyne H, Mars N, Hveem K, Inouye M, van Heel DA, Mägi R, Marttinen P, Ripatti S, Ganna A, Lippert C.
Released in PGS Catalog: Dec. 19, 2023

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

PGS Developed By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS004139
(sbayesr.auto.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 945,385
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004139/ScoringFiles/PGS004139.txt.gz
PGS004141
(sbayesr.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 683,029
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004141/ScoringFiles/PGS004141.txt.gz
PGS004142
(sbayesr.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 804,867
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004142/ScoringFiles/PGS004142.txt.gz
PGS004144
(sbayesr.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 822,407
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004144/ScoringFiles/PGS004144.txt.gz
PGS004145
(sbayesr.auto.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 822,407
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004145/ScoringFiles/PGS004145.txt.gz
PGS004149
(sbayesr.auto.GCST90018959.Height)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Height body height 962,278
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004149/ScoringFiles/PGS004149.txt.gz
PGS004146
(sbayesr.auto.GCST90012877.AD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Alzheimer's disease Alzheimer disease 915,771
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004146/ScoringFiles/PGS004146.txt.gz
PGS004135
(sbayesr.auto.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 912,746
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004135/ScoringFiles/PGS004135.txt.gz
PGS004140
(sbayesr.auto.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 875,144
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004140/ScoringFiles/PGS004140.txt.gz
PGS004147
(sbayesr.auto.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 45,996
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004147/ScoringFiles/PGS004147.txt.gz
PGS004148
(sbayesr.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 671,211
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004148/ScoringFiles/PGS004148.txt.gz
PGS004136
(sbayesr.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 930,497
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004136/ScoringFiles/PGS004136.txt.gz
PGS004096
(prscs.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 1,011,571
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004096/ScoringFiles/PGS004096.txt.gz
PGS004045
(ldpred2.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,050,295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004045/ScoringFiles/PGS004045.txt.gz
PGS003981
(dbslmm.auto.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 1,103,311
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003981/ScoringFiles/PGS003981.txt.gz
PGS004039
(ldpred2.CV.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 958,046
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004039/ScoringFiles/PGS004039.txt.gz
PGS004102
(prscs.CV.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 61,651
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004102/ScoringFiles/PGS004102.txt.gz
PGS003982
(dbslmm.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,071,764
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003982/ScoringFiles/PGS003982.txt.gz
PGS003993
(dbslmm.auto.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 63,182
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003993/ScoringFiles/PGS003993.txt.gz
PGS003994
(dbslmm.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 778,205
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003994/ScoringFiles/PGS003994.txt.gz
PGS003989
(dbslmm.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,141,637
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003989/ScoringFiles/PGS003989.txt.gz
PGS003988
(dbslmm.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,141,637
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003988/ScoringFiles/PGS003988.txt.gz
PGS003990
(dbslmm.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 1,005,456
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003990/ScoringFiles/PGS003990.txt.gz
PGS003986
(dbslmm.auto.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 1,138,429
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003986/ScoringFiles/PGS003986.txt.gz
PGS003980
(dbslmm.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 1,039,020
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003980/ScoringFiles/PGS003980.txt.gz
PGS004106
(pt_clump.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 35
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004106/ScoringFiles/PGS004106.txt.gz
PGS004087
(prscs.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 989,845
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004087/ScoringFiles/PGS004087.txt.gz
PGS004021
(lassosum.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 315,740
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004021/ScoringFiles/PGS004021.txt.gz
PGS004095
(prscs.auto.GCST90018959.Height)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Height body height 1,088,125
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004095/ScoringFiles/PGS004095.txt.gz
PGS004041
(ldpred2.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,011,468
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004041/ScoringFiles/PGS004041.txt.gz
PGS003983
(dbslmm.auto.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 1,137,459
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003983/ScoringFiles/PGS003983.txt.gz
PGS003995
(dbslmm.auto.GCST90018959.Height)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Height body height 1,119,867
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003995/ScoringFiles/PGS003995.txt.gz
PGS004130
(pt_clump_nested.CV.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 7,279
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004130/ScoringFiles/PGS004130.txt.gz
PGS003999
(lassosum.auto.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 13,086
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003999/ScoringFiles/PGS003999.txt.gz
PGS003984
(dbslmm.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,121,845
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003984/ScoringFiles/PGS003984.txt.gz
PGS004019
(lassosum.CV.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 56,575
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004019/ScoringFiles/PGS004019.txt.gz
PGS004111
(pt_clump.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 51
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004111/ScoringFiles/PGS004111.txt.gz
PGS004113
(pt_clump.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 301
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004113/ScoringFiles/PGS004113.txt.gz
PGS004114
(pt_clump.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 248
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004114/ScoringFiles/PGS004114.txt.gz
PGS004018
(lassosum.CV.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 100,595
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004018/ScoringFiles/PGS004018.txt.gz
PGS003985
(dbslmm.auto.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 1,139,671
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003985/ScoringFiles/PGS003985.txt.gz
PGS003987
(dbslmm.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 1,009,642
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003987/ScoringFiles/PGS003987.txt.gz
PGS003991
(dbslmm.auto.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 1,005,456
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003991/ScoringFiles/PGS003991.txt.gz
PGS003997
(lassosum.auto.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 8,406
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003997/ScoringFiles/PGS003997.txt.gz
PGS004040
(ldpred2.CV.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 1,041,298
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004040/ScoringFiles/PGS004040.txt.gz
PGS004000
(lassosum.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 2,371
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004000/ScoringFiles/PGS004000.txt.gz
PGS004001
(lassosum.auto.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 26,873
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004001/ScoringFiles/PGS004001.txt.gz
PGS004002
(lassosum.auto.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 7,708
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004002/ScoringFiles/PGS004002.txt.gz
PGS004004
(lassosum.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 15,373
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004004/ScoringFiles/PGS004004.txt.gz
PGS004007
(lassosum.auto.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 19,101
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004007/ScoringFiles/PGS004007.txt.gz
PGS004009
(lassosum.auto.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 4,031
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004009/ScoringFiles/PGS004009.txt.gz
PGS004010
(lassosum.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 27,045
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004010/ScoringFiles/PGS004010.txt.gz
PGS004014
(lassosum.CV.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 95,649
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004014/ScoringFiles/PGS004014.txt.gz
PGS004022
(ldpred2.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 919,377
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004022/ScoringFiles/PGS004022.txt.gz
PGS004023
(ldpred2.auto.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 1,018,068
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004023/ScoringFiles/PGS004023.txt.gz
PGS004024
(ldpred2.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 958,046
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004024/ScoringFiles/PGS004024.txt.gz
PGS004027
(ldpred2.auto.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 1,045,276
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004027/ScoringFiles/PGS004027.txt.gz
PGS004029
(ldpred2.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 907,906
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004029/ScoringFiles/PGS004029.txt.gz
PGS004031
(ldpred2.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,050,295
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004031/ScoringFiles/PGS004031.txt.gz
PGS004033
(ldpred2.auto.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 865,644
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004033/ScoringFiles/PGS004033.txt.gz
PGS004035
(ldpred2.auto.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 56,562
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004035/ScoringFiles/PGS004035.txt.gz
PGS004038
(ldpred2.CV.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 1,018,068
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004038/ScoringFiles/PGS004038.txt.gz
PGS004042
(ldpred2.CV.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 1,045,276
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004042/ScoringFiles/PGS004042.txt.gz
PGS004043
(ldpred2.CV.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 578,264
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004043/ScoringFiles/PGS004043.txt.gz
PGS004044
(ldpred2.CV.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 907,906
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004044/ScoringFiles/PGS004044.txt.gz
PGS004046
(ldpred2.CV.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,050,295
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004046/ScoringFiles/PGS004046.txt.gz
PGS004047
(ldpred2.CV.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 865,644
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004047/ScoringFiles/PGS004047.txt.gz
PGS004048
(ldpred2.CV.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 865,644
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004048/ScoringFiles/PGS004048.txt.gz
PGS004050
(megaprs.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 609,706
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004050/ScoringFiles/PGS004050.txt.gz
PGS004052
(megaprs.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 800,598
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004052/ScoringFiles/PGS004052.txt.gz
PGS004054
(megaprs.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 852,173
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004054/ScoringFiles/PGS004054.txt.gz
PGS004056
(megaprs.auto.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 791,965
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004056/ScoringFiles/PGS004056.txt.gz
PGS004037
(ldpred2.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 919,377
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004037/ScoringFiles/PGS004037.txt.gz
PGS004061
(megaprs.auto.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 677,631
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004061/ScoringFiles/PGS004061.txt.gz
PGS004063
(megaprs.auto.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 56,288
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004063/ScoringFiles/PGS004063.txt.gz
PGS004064
(megaprs.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 402,214
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004064/ScoringFiles/PGS004064.txt.gz
PGS004066
(megaprs.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 602,445
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004066/ScoringFiles/PGS004066.txt.gz
PGS004070
(megaprs.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 852,173
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004070/ScoringFiles/PGS004070.txt.gz
PGS004075
(megaprs.CV.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 846,995
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004075/ScoringFiles/PGS004075.txt.gz
PGS004077
(megaprs.CV.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 677,631
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004077/ScoringFiles/PGS004077.txt.gz
PGS004080
(prscs.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 1,011,571
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004080/ScoringFiles/PGS004080.txt.gz
PGS004086
(prscs.auto.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 1,103,534
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004086/ScoringFiles/PGS004086.txt.gz
PGS004092
(prscs.auto.GCST90012877.AD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Alzheimer's disease Alzheimer disease 1,109,233
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004092/ScoringFiles/PGS004092.txt.gz
PGS004093
(prscs.auto.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 61,651
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004093/ScoringFiles/PGS004093.txt.gz
PGS004097
(prscs.CV.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 1,073,268
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004097/ScoringFiles/PGS004097.txt.gz
PGS004098
(prscs.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,091,747
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004098/ScoringFiles/PGS004098.txt.gz
PGS004100
(prscs.CV.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 1,103,534
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004100/ScoringFiles/PGS004100.txt.gz
PGS004103
(prscs.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 755,048
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004103/ScoringFiles/PGS004103.txt.gz
PGS004107
(pt_clump.auto.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 209
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004107/ScoringFiles/PGS004107.txt.gz
PGS004112
(pt_clump.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 301
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004112/ScoringFiles/PGS004112.txt.gz
PGS004115
(pt_clump.auto.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 248
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004115/ScoringFiles/PGS004115.txt.gz
PGS004118
(pt_clump.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 91
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004118/ScoringFiles/PGS004118.txt.gz
PGS004119
(pt_clump.auto.GCST90018959.Height)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Height body height 2,632
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004119/ScoringFiles/PGS004119.txt.gz
PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 297
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004122/ScoringFiles/PGS004122.txt.gz
PGS004108
(pt_clump.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004108/ScoringFiles/PGS004108.txt.gz
PGS004109
(pt_clump.auto.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 200
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004109/ScoringFiles/PGS004109.txt.gz
PGS004124
(pt_clump_nested.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 5,808
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004124/ScoringFiles/PGS004124.txt.gz
PGS004126
(pt_clump_nested.CV.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 579
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004126/ScoringFiles/PGS004126.txt.gz
PGS004129
(pt_clump_nested.CV.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 8,543
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004129/ScoringFiles/PGS004129.txt.gz
PGS004131
(pt_clump_nested.CV.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 7,279
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004131/ScoringFiles/PGS004131.txt.gz
PGS004133
(pt_clump_nested.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 155
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004133/ScoringFiles/PGS004133.txt.gz
PGS004134
(sbayesr.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 782,021
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004134/ScoringFiles/PGS004134.txt.gz
PGS004138
(sbayesr.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 888,649
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004138/ScoringFiles/PGS004138.txt.gz
PGS004143
(sbayesr.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 804,867
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004143/ScoringFiles/PGS004143.txt.gz
PGS004104
(pt_clump.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 83
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004104/ScoringFiles/PGS004104.txt.gz
PGS004160
(UKBB_EnsPGS.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 976,174
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004160/ScoringFiles/PGS004160.txt.gz
PGS004151
(UKBB_EnsPGS.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 1,102,205
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004151/ScoringFiles/PGS004151.txt.gz
PGS004154
(UKBB_EnsPGS.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,116,976
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004154/ScoringFiles/PGS004154.txt.gz
PGS004157
(UKBB_EnsPGS.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 1,009,664
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004157/ScoringFiles/PGS004157.txt.gz
PGS004162
(UKBB_EnsPGS.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 62,645
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004162/ScoringFiles/PGS004162.txt.gz
PGS004105
(pt_clump.auto.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 139
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004105/ScoringFiles/PGS004105.txt.gz
PGS004005
(lassosum.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 15,373
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004005/ScoringFiles/PGS004005.txt.gz
PGS004101
(prscs.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,109,217
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004101/ScoringFiles/PGS004101.txt.gz
PGS004116
(pt_clump.auto.GCST90012877.AD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Alzheimer's disease Alzheimer disease 58
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004116/ScoringFiles/PGS004116.txt.gz
PGS003998
(lassosum.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 5,548
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003998/ScoringFiles/PGS003998.txt.gz
PGS004003
(lassosum.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 4,697
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004003/ScoringFiles/PGS004003.txt.gz
PGS004006
(lassosum.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 19,101
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004006/ScoringFiles/PGS004006.txt.gz
PGS004008
(lassosum.auto.GCST90012877.AD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Alzheimer's disease Alzheimer disease 5,663
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004008/ScoringFiles/PGS004008.txt.gz
PGS004011
(lassosum.auto.GCST90018959.Height)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Height body height 315,596
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004011/ScoringFiles/PGS004011.txt.gz
PGS004013
(lassosum.CV.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 22,690
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004013/ScoringFiles/PGS004013.txt.gz
PGS004016
(lassosum.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 88,605
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004016/ScoringFiles/PGS004016.txt.gz
PGS004017
(lassosum.CV.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 88,605
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004017/ScoringFiles/PGS004017.txt.gz
PGS004020
(lassosum.CV.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 6,682
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004020/ScoringFiles/PGS004020.txt.gz
PGS004051
(megaprs.auto.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 784,928
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004051/ScoringFiles/PGS004051.txt.gz
PGS004091
(prscs.auto.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 976,777
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004091/ScoringFiles/PGS004091.txt.gz
PGS004055
(megaprs.auto.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 777,255
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004055/ScoringFiles/PGS004055.txt.gz
PGS004057
(megaprs.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 514,367
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004057/ScoringFiles/PGS004057.txt.gz
PGS004059
(megaprs.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 846,995
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004059/ScoringFiles/PGS004059.txt.gz
PGS004060
(megaprs.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 677,631
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004060/ScoringFiles/PGS004060.txt.gz
PGS004062
(megaprs.auto.GCST90012877.AD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Alzheimer's disease Alzheimer disease 691,136
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004062/ScoringFiles/PGS004062.txt.gz
PGS004065
(megaprs.auto.GCST90018959.Height)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Height body height 980,499
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004065/ScoringFiles/PGS004065.txt.gz
PGS004067
(megaprs.CV.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 784,928
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004067/ScoringFiles/PGS004067.txt.gz
PGS004069
(megaprs.CV.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 869,407
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004069/ScoringFiles/PGS004069.txt.gz
PGS004071
(megaprs.CV.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 777,255
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004071/ScoringFiles/PGS004071.txt.gz
PGS004074
(megaprs.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 846,995
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004074/ScoringFiles/PGS004074.txt.gz
PGS004076
(megaprs.CV.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 677,631
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004076/ScoringFiles/PGS004076.txt.gz
PGS004078
(megaprs.CV.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 56,288
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004078/ScoringFiles/PGS004078.txt.gz
PGS004083
(prscs.auto.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 1,103,877
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004083/ScoringFiles/PGS004083.txt.gz
PGS004090
(prscs.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 976,777
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004090/ScoringFiles/PGS004090.txt.gz
PGS004099
(prscs.CV.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 1,105,199
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004099/ScoringFiles/PGS004099.txt.gz
PGS004117
(pt_clump.auto.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 131
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004117/ScoringFiles/PGS004117.txt.gz
PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 23,190
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004120/ScoringFiles/PGS004120.txt.gz
PGS004121
(pt_clump_nested.CV.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 774
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004121/ScoringFiles/PGS004121.txt.gz
PGS004123
(pt_clump_nested.CV.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 982
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004123/ScoringFiles/PGS004123.txt.gz
PGS004125
(pt_clump_nested.CV.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 765
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004125/ScoringFiles/PGS004125.txt.gz
PGS004127
(pt_clump_nested.CV.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 246
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004127/ScoringFiles/PGS004127.txt.gz
PGS004128
(pt_clump_nested.CV.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 8,543
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004128/ScoringFiles/PGS004128.txt.gz
PGS004132
(pt_clump_nested.CV.GCST90013445.T1D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 1 diabetes (T1D) type 1 diabetes mellitus 354
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004132/ScoringFiles/PGS004132.txt.gz
PGS004137
(sbayesr.auto.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 950,524
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004137/ScoringFiles/PGS004137.txt.gz
PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,071,786
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004152/ScoringFiles/PGS004152.txt.gz
PGS004155
(UKBB_EnsPGS.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 1,139,693
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004155/ScoringFiles/PGS004155.txt.gz
PGS004156
(UKBB_EnsPGS.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 1,138,452
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004156/ScoringFiles/PGS004156.txt.gz
PGS004158
(UKBB_EnsPGS.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,135,455
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004158/ScoringFiles/PGS004158.txt.gz
PGS004159
(UKBB_EnsPGS.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,141,659
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004159/ScoringFiles/PGS004159.txt.gz
PGS004161
(UKBB_EnsPGS.GCST008972.Urate)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Urate urate measurement 1,005,478
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004161/ScoringFiles/PGS004161.txt.gz
PGS004163
(UKBB_EnsPGS.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 778,275
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004163/ScoringFiles/PGS004163.txt.gz
PGS004025
(ldpred2.auto.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 1,041,298
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004025/ScoringFiles/PGS004025.txt.gz
PGS003992
(dbslmm.auto.GCST90012877.AD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Alzheimer's disease Alzheimer disease 1,136,212
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003992/ScoringFiles/PGS003992.txt.gz
PGS004026
(ldpred2.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,011,468
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004026/ScoringFiles/PGS004026.txt.gz
PGS004049
(ldpred2.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 373,627
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004049/ScoringFiles/PGS004049.txt.gz
PGS004058
(megaprs.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 846,995
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004058/ScoringFiles/PGS004058.txt.gz
PGS004068
(megaprs.CV.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 800,598
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004068/ScoringFiles/PGS004068.txt.gz
PGS004085
(prscs.auto.GCST006085.Prostate_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Prostate cancer prostate carcinoma 1,105,199
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004085/ScoringFiles/PGS004085.txt.gz
PGS004110
(pt_clump.auto.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 161
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004110/ScoringFiles/PGS004110.txt.gz
PGS004153
(UKBB_EnsPGS.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 1,133,268
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004153/ScoringFiles/PGS004153.txt.gz
PGS003996
(lassosum.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 16,785
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003996/ScoringFiles/PGS003996.txt.gz
PGS004012
(lassosum.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 437,695
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004012/ScoringFiles/PGS004012.txt.gz
PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 1,039,042
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004150/ScoringFiles/PGS004150.txt.gz
PGS004079
(megaprs.CV.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 402,214
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004079/ScoringFiles/PGS004079.txt.gz
PGS004030
(ldpred2.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,050,295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004030/ScoringFiles/PGS004030.txt.gz
PGS004032
(ldpred2.auto.GCST008972.Gout)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Gout gout 865,644
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004032/ScoringFiles/PGS004032.txt.gz
PGS004034
(ldpred2.auto.GCST90012877.AD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Alzheimer's disease Alzheimer disease 1,046,908
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004034/ScoringFiles/PGS004034.txt.gz
PGS004036
(ldpred2.auto.GCST90018959.Height)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Height body height 929,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004036/ScoringFiles/PGS004036.txt.gz
PGS004084
(prscs.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,091,747
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004084/ScoringFiles/PGS004084.txt.gz
PGS004089
(prscs.auto.GCST008059.eGFR)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
eGFR glomerular filtration rate 1,109,217
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004089/ScoringFiles/PGS004089.txt.gz
PGS004082
(prscs.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,043,329
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004082/ScoringFiles/PGS004082.txt.gz
PGS004088
(prscs.auto.GCST008059.CKD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Chronic kidney disease (CKD) chronic kidney disease 1,109,217
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004088/ScoringFiles/PGS004088.txt.gz
PGS004094
(prscs.auto.GCST90013534.RA)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Rheumatoid arthritis rheumatoid arthritis 755,048
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004094/ScoringFiles/PGS004094.txt.gz
PGS004015
(lassosum.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 65,138
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004015/ScoringFiles/PGS004015.txt.gz
PGS004028
(ldpred2.auto.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 992,696
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004028/ScoringFiles/PGS004028.txt.gz
PGS004053
(megaprs.auto.GCST004988.Breast_cancer)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Breast cancer breast carcinoma 869,407
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004053/ScoringFiles/PGS004053.txt.gz
PGS004072
(megaprs.CV.GCST007140.HDL)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HDL cholesterol high density lipoprotein cholesterol measurement 791,965
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004072/ScoringFiles/PGS004072.txt.gz
PGS004073
(megaprs.CV.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 514,367
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004073/ScoringFiles/PGS004073.txt.gz
PGS004081
(prscs.auto.GCST004131.IBD)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Inflammatory bowel disease (IBD) inflammatory bowel disease 1,073,268
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004081/ScoringFiles/PGS004081.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
PPM019425 PGS003999
(lassosum.auto.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.65454
β: 0.50352
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019426 PGS003999
(lassosum.auto.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.7112
β: 0.5372
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019912 PGS004018
(lassosum.CV.GCST008972.Gout)
PSS011240|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Gout OR: 1.79341
β: 0.58412
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019198 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.21196 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019193 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.20292 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019194 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23169 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019150 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.22681 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019151 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13234 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019152 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23703 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019153 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.18732 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019154 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24564 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019155 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27279 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019156 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.17614 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019157 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28307 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019158 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23025 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019159 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.29441 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019160 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13262 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019161 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13437 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019162 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13976 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019163 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13361 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019164 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.12888 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019165 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28774 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019166 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.21492 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019167 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.2987 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019168 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.25738 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019169 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.31034 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019170 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.26843 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019171 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.21006 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019172 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28302 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019173 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23645 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019174 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28337 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019175 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23628 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019176 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.18382 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019177 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23811 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019178 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.2074 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019182 PGS004022
(ldpred2.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.22725 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019183 PGS004022
(ldpred2.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.20804 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019184 PGS004022
(ldpred2.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23174 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019185 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27372 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019186 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.19873 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019187 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28643 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019188 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24111 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019189 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.29808 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019190 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.22924 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019191 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.19661 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019192 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.236 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019195 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.26769 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019196 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.16504 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019197 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27794 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019199 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.29179 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019200 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.26849 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019201 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.20035 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019202 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27952 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019203 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23887 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019204 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28279 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019205 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24937 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019206 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.21681 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019207 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.25672 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019208 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.2328 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019209 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.2558 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019210 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27473 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019211 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.20034 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019212 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28629 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019213 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24618 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019214 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.29892 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019215 PGS004038
(ldpred2.CV.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.3661
β: 0.31196
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019216 PGS004038
(ldpred2.CV.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 2.00709
β: 0.69669
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019217 PGS004038
(ldpred2.CV.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.946
β: 0.66578
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019218 PGS004038
(ldpred2.CV.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.55477
β: 0.44133
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019219 PGS004038
(ldpred2.CV.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.71999
β: 0.54232
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019220 PGS004038
(ldpred2.CV.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.96885
β: 0.67745
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019221 PGS004105
(pt_clump.auto.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.24143
β: 0.21627
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019222 PGS004105
(pt_clump.auto.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.63002
β: 0.48859
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019223 PGS004105
(pt_clump.auto.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.40101
β: 0.33719
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019224 PGS004105
(pt_clump.auto.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.35946
β: 0.30709
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019225 PGS004105
(pt_clump.auto.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.34635
β: 0.29739
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019226 PGS004105
(pt_clump.auto.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.59062
β: 0.46412
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019227 PGS004121
(pt_clump_nested.CV.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.27323
β: 0.24156
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019228 PGS004121
(pt_clump_nested.CV.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.74769
β: 0.55829
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019229 PGS004121
(pt_clump_nested.CV.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.51461
β: 0.41516
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019230 PGS004121
(pt_clump_nested.CV.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.38976
β: 0.32913
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019231 PGS004121
(pt_clump_nested.CV.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.49325
β: 0.40096
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019232 PGS004121
(pt_clump_nested.CV.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.68525
β: 0.52191
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019233 PGS003981
(dbslmm.auto.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.33244
β: 0.28701
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019234 PGS003981
(dbslmm.auto.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.89729
β: 0.64043
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019235 PGS003981
(dbslmm.auto.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.82983
β: 0.60422
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019236 PGS003981
(dbslmm.auto.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.51174
β: 0.41326
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019237 PGS003981
(dbslmm.auto.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.62008
β: 0.48247
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019238 PGS003981
(dbslmm.auto.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.8704
β: 0.62615
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019239 PGS004151
(UKBB_EnsPGS.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.39728
β: 0.33453
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019240 PGS004151
(UKBB_EnsPGS.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 2.06398
β: 0.72464
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019241 PGS004151
(UKBB_EnsPGS.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.99477
β: 0.69053
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019242 PGS004151
(UKBB_EnsPGS.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.58122
β: 0.4582
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019243 PGS004151
(UKBB_EnsPGS.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.76291
β: 0.56697
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019244 PGS004151
(UKBB_EnsPGS.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 2.04212
β: 0.71399
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019245 PGS004135
(sbayesr.auto.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.33765
β: 0.29091
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019247 PGS004135
(sbayesr.auto.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.8584
β: 0.61972
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019248 PGS004135
(sbayesr.auto.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.53371
β: 0.42769
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019249 PGS004135
(sbayesr.auto.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.68556
β: 0.5221
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019250 PGS004135
(sbayesr.auto.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.91118
β: 0.64772
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019252 PGS004023
(ldpred2.auto.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.98269
β: 0.68445
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019253 PGS004023
(ldpred2.auto.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.96487
β: 0.67543
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019254 PGS004023
(ldpred2.auto.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.53961
β: 0.43153
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019255 PGS004023
(ldpred2.auto.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.7204
β: 0.54256
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019256 PGS004023
(ldpred2.auto.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.95616
β: 0.67098
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019257 PGS004051
(megaprs.auto.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.36888
β: 0.314
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019258 PGS004051
(megaprs.auto.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 2.00653
β: 0.69641
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019259 PGS004051
(megaprs.auto.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.90388
β: 0.64389
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019260 PGS004051
(megaprs.auto.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.53763
β: 0.43024
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019261 PGS004051
(megaprs.auto.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.63845
β: 0.49375
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019262 PGS004051
(megaprs.auto.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.9624
β: 0.67417
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019263 PGS004067
(megaprs.CV.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.38476
β: 0.32553
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019264 PGS004067
(megaprs.CV.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 2.01137
β: 0.69881
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019265 PGS004067
(megaprs.CV.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.90373
β: 0.64382
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019266 PGS004067
(megaprs.CV.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.53272
β: 0.42704
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019267 PGS004067
(megaprs.CV.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.64423
β: 0.49727
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019268 PGS004067
(megaprs.CV.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.9918
β: 0.68904
AUROC: 0.69 0 beta = log(or)/sd_pgs
PPM019269 PGS004097
(prscs.CV.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.33762
β: 0.29089
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019270 PGS004097
(prscs.CV.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.9368
β: 0.66104
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019271 PGS004097
(prscs.CV.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.81277
β: 0.59485
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019272 PGS004097
(prscs.CV.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.53892
β: 0.43108
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019273 PGS004097
(prscs.CV.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.64559
β: 0.4981
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019274 PGS004097
(prscs.CV.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.86814
β: 0.62494
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019275 PGS004081
(prscs.auto.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.33947
β: 0.29227
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019276 PGS004081
(prscs.auto.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.93798
β: 0.66165
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019277 PGS004081
(prscs.auto.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.81701
β: 0.59719
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019278 PGS004081
(prscs.auto.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.52897
β: 0.4246
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019279 PGS004081
(prscs.auto.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.64491
β: 0.49768
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019281 PGS004013
(lassosum.CV.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.37266
β: 0.31675
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019282 PGS004013
(lassosum.CV.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.95504
β: 0.67041
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019283 PGS004013
(lassosum.CV.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.88804
β: 0.63554
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019284 PGS004013
(lassosum.CV.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.53614
β: 0.42927
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019285 PGS004013
(lassosum.CV.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.72939
β: 0.54777
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019286 PGS004013
(lassosum.CV.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.8643
β: 0.62289
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019287 PGS003997
(lassosum.auto.GCST004131.IBD)
PSS011220|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.35075
β: 0.30066
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019288 PGS003997
(lassosum.auto.GCST004131.IBD)
PSS011231|
European Ancestry|
396,819 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.94603
β: 0.66579
AUROC: 0.68 0 beta = log(or)/sd_pgs
PPM019289 PGS003997
(lassosum.auto.GCST004131.IBD)
PSS011244|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.83801
β: 0.60869
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019290 PGS003997
(lassosum.auto.GCST004131.IBD)
PSS011260|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.53922
β: 0.43128
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019291 PGS003997
(lassosum.auto.GCST004131.IBD)
PSS011288|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.73594
β: 0.55155
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019292 PGS003997
(lassosum.auto.GCST004131.IBD)
PSS011273|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Inflammatory bowel disease OR: 1.84612
β: 0.61309
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019293 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.51531
β: 0.41562
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019294 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.52599
β: 0.42265
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019295 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.29096
β: 0.25538
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019296 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.55991
β: 0.44463
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019297 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.41025
β: 0.34376
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019298 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.6442
β: 0.49725
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019299 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.25413
β: 0.22644
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019300 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.2706
β: 0.23949
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019301 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.1856
β: 0.17025
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019302 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.30688
β: 0.26765
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019303 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.25033
β: 0.22341
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019304 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.32877
β: 0.28426
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019305 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.32208
β: 0.2792
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019306 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.34756
β: 0.29829
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019307 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.21072
β: 0.19122
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019308 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.36428
β: 0.31063
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019309 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.28905
β: 0.2539
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019310 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.41752
β: 0.34891
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019312 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.50796
β: 0.41076
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019313 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.26658
β: 0.23632
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019314 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53274
β: 0.42705
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019315 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.40966
β: 0.34335
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019316 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.6067
β: 0.47419
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019317 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.48356
β: 0.39444
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019319 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.28557
β: 0.2512
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019320 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.54343
β: 0.43401
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019321 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.4041
β: 0.3394
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019322 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.60963
β: 0.476
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019323 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53171
β: 0.42638
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019324 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.5534
β: 0.44045
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019325 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.29976
β: 0.26218
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019326 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.57552
β: 0.45459
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019327 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.44083
β: 0.36522
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019328 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.66922
β: 0.51236
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019329 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.48498
β: 0.3954
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019330 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.50219
β: 0.40693
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019331 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.2876
β: 0.25278
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019332 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53513
β: 0.42861
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019333 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.39993
β: 0.33642
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019334 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.608
β: 0.47499
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019335 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.51227
β: 0.41361
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019337 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.2863
β: 0.25177
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019338 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.5456
β: 0.43541
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019339 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.4232
β: 0.35291
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019340 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.64766
β: 0.49936
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019341 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.51406
β: 0.41479
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019342 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.54026
β: 0.43195
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019343 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.28668
β: 0.25206
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019344 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.55065
β: 0.43868
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019345 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.42683
β: 0.35546
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019346 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.65089
β: 0.50131
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019347 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.49969
β: 0.40526
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019348 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.49743
β: 0.40375
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019349 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.26384
β: 0.23416
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019350 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.52107
β: 0.41942
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019351 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.37392
β: 0.31767
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019352 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.61184
β: 0.47737
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019353 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.42404
β: 0.3535
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019354 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.43926
β: 0.36413
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019355 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.2647
β: 0.23483
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019356 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.47667
β: 0.38979
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019357 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.36032
β: 0.30772
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019358 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53698
β: 0.42982
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019359 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.48322
β: 0.39422
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019360 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.47356
β: 0.38768
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019361 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.25868
β: 0.23007
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019362 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.49153
β: 0.3998
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019364 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.57088
β: 0.45164
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019365 PGS004040
(ldpred2.CV.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.66024
β: 0.50696
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019366 PGS004040
(ldpred2.CV.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.77072
β: 0.57138
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019367 PGS004040
(ldpred2.CV.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.60503
β: 0.47314
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019368 PGS004040
(ldpred2.CV.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.74575
β: 0.55719
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019369 PGS004040
(ldpred2.CV.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.46589
β: 0.38246
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019370 PGS004040
(ldpred2.CV.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.80882
β: 0.59268
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019371 PGS004107
(pt_clump.auto.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.50345
β: 0.40776
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019372 PGS004107
(pt_clump.auto.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.5159
β: 0.41601
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019373 PGS004107
(pt_clump.auto.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.41368
β: 0.34619
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019374 PGS004107
(pt_clump.auto.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.51726
β: 0.4169
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019375 PGS004107
(pt_clump.auto.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.36644
β: 0.31221
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019376 PGS004107
(pt_clump.auto.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.52553
β: 0.42234
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019377 PGS004123
(pt_clump_nested.CV.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.51371
β: 0.41457
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019378 PGS004123
(pt_clump_nested.CV.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.57309
β: 0.45304
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019379 PGS004123
(pt_clump_nested.CV.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.48885
β: 0.39801
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019380 PGS004123
(pt_clump_nested.CV.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.54351
β: 0.43406
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019381 PGS004123
(pt_clump_nested.CV.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.35605
β: 0.30458
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019382 PGS004123
(pt_clump_nested.CV.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.58738
β: 0.46208
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019383 PGS004153
(UKBB_EnsPGS.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.68728
β: 0.52312
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019384 PGS004153
(UKBB_EnsPGS.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.79574
β: 0.58542
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019385 PGS004153
(UKBB_EnsPGS.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.65971
β: 0.50664
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019386 PGS004153
(UKBB_EnsPGS.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.77954
β: 0.57636
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019387 PGS004153
(UKBB_EnsPGS.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.54652
β: 0.43601
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019388 PGS004153
(UKBB_EnsPGS.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.82572
β: 0.60197
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019389 PGS003983
(dbslmm.auto.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.60508
β: 0.47317
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019390 PGS003983
(dbslmm.auto.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.71525
β: 0.53956
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019391 PGS003983
(dbslmm.auto.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.53934
β: 0.43136
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019392 PGS003983
(dbslmm.auto.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.70143
β: 0.53147
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019394 PGS003983
(dbslmm.auto.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.75801
β: 0.56418
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019395 PGS004137
(sbayesr.auto.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.59437
β: 0.46648
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019396 PGS004137
(sbayesr.auto.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.66993
β: 0.51278
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019397 PGS004137
(sbayesr.auto.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.51618
β: 0.41619
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019398 PGS004137
(sbayesr.auto.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.73541
β: 0.55124
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019399 PGS004137
(sbayesr.auto.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.41849
β: 0.34959
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019400 PGS004137
(sbayesr.auto.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.75895
β: 0.56472
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019401 PGS004025
(ldpred2.auto.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.66191
β: 0.50797
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019402 PGS004025
(ldpred2.auto.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.77035
β: 0.57118
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019403 PGS004025
(ldpred2.auto.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.61352
β: 0.47842
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019404 PGS004025
(ldpred2.auto.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.74007
β: 0.55393
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019405 PGS004025
(ldpred2.auto.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.44836
β: 0.37043
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019406 PGS004025
(ldpred2.auto.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.80647
β: 0.59138
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019407 PGS004069
(megaprs.CV.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.64103
β: 0.49532
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019408 PGS004069
(megaprs.CV.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.7432
β: 0.55573
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019409 PGS004069
(megaprs.CV.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.56536
β: 0.44811
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019410 PGS004069
(megaprs.CV.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.72445
β: 0.54491
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019411 PGS004069
(megaprs.CV.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.51041
β: 0.41238
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019412 PGS004069
(megaprs.CV.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.78417
β: 0.57895
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019413 PGS004053
(megaprs.auto.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.61464
β: 0.47911
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019414 PGS004053
(megaprs.auto.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.72899
β: 0.54754
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019415 PGS004053
(megaprs.auto.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.58283
β: 0.45922
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019416 PGS004053
(megaprs.auto.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.7155
β: 0.5397
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019417 PGS004053
(megaprs.auto.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.42423
β: 0.35363
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019418 PGS004053
(megaprs.auto.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.75979
β: 0.5652
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019419 PGS004083
(prscs.auto.GCST004988.Breast_cancer)
PSS011215|
European Ancestry|
130,758 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.62802
β: 0.48736
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019420 PGS004083
(prscs.auto.GCST004988.Breast_cancer)
PSS011227|
European Ancestry|
217,530 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.73797
β: 0.55272
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019421 PGS004083
(prscs.auto.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.57454
β: 0.45396
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019422 PGS004083
(prscs.auto.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.72094
β: 0.54287
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019423 PGS004083
(prscs.auto.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.51133
β: 0.41299
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019424 PGS004083
(prscs.auto.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.77492
β: 0.57375
AUROC: 0.66 0 beta = log(or)/sd_pgs
PPM019427 PGS003999
(lassosum.auto.GCST004988.Breast_cancer)
PSS011238|
South Asian Ancestry|
24,319 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.60371
β: 0.47232
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019428 PGS003999
(lassosum.auto.GCST004988.Breast_cancer)
PSS011254|
European Ancestry|
35,377 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.71179
β: 0.53754
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019429 PGS003999
(lassosum.auto.GCST004988.Breast_cancer)
PSS011282|
South Asian Ancestry|
4,350 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.48538
β: 0.39567
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019430 PGS003999
(lassosum.auto.GCST004988.Breast_cancer)
PSS011268|
European Ancestry|
48,968 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Breast cancer OR: 1.75341
β: 0.56157
AUROC: 0.65 0 beta = log(or)/sd_pgs
PPM019431 PGS004041
(ldpred2.CV.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.11588
β: 0.10965
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019432 PGS004041
(ldpred2.CV.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.16332
β: 0.15128
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019433 PGS004041
(ldpred2.CV.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.1116
β: 0.1058
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019434 PGS004041
(ldpred2.CV.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.13921
β: 0.13033
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019435 PGS004041
(ldpred2.CV.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.21092
β: 0.19138
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019436 PGS004041
(ldpred2.CV.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.20936
β: 0.19009
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019437 PGS004108
(pt_clump.auto.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.08291
β: 0.07965
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019438 PGS004108
(pt_clump.auto.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.06579
β: 0.06372
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019439 PGS004108
(pt_clump.auto.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 0.97393
β: -0.02642
AUROC: 0.51 0 beta = log(or)/sd_pgs
PPM019440 PGS004108
(pt_clump.auto.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.06709
β: 0.06493
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019441 PGS004108
(pt_clump.auto.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 0.99729
β: -0.00271
AUROC: 0.5 0 beta = log(or)/sd_pgs
PPM019442 PGS004108
(pt_clump.auto.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.08405
β: 0.0807
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019443 PGS004124
(pt_clump_nested.CV.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.06894
β: 0.06667
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019444 PGS004124
(pt_clump_nested.CV.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.10078
β: 0.09602
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019445 PGS004124
(pt_clump_nested.CV.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.12773
β: 0.12021
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019446 PGS004124
(pt_clump_nested.CV.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.10772
β: 0.1023
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019447 PGS004124
(pt_clump_nested.CV.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.14403
β: 0.13455
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019448 PGS004124
(pt_clump_nested.CV.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.13266
β: 0.12457
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019449 PGS003984
(dbslmm.auto.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.12083
β: 0.11407
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019450 PGS003984
(dbslmm.auto.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.15341
β: 0.14273
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019451 PGS003984
(dbslmm.auto.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.09189
β: 0.08791
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019452 PGS003984
(dbslmm.auto.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.12141
β: 0.11459
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019453 PGS003984
(dbslmm.auto.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.18126
β: 0.16658
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019454 PGS003984
(dbslmm.auto.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.20912
β: 0.1899
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019455 PGS004138
(sbayesr.auto.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.08855
β: 0.08485
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019456 PGS004138
(sbayesr.auto.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.14381
β: 0.13436
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019457 PGS004138
(sbayesr.auto.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.09703
β: 0.09261
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019458 PGS004138
(sbayesr.auto.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.09561
β: 0.09131
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019459 PGS004138
(sbayesr.auto.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.15035
β: 0.14007
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019460 PGS004138
(sbayesr.auto.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.20185
β: 0.18386
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019927 PGS004146
(sbayesr.auto.GCST90012877.AD)
PSS011252|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: AD OR: 1.79245
β: 0.58358
AUROC: 0.67 0 beta = log(or)/sd_pgs
PPM019462 PGS004154
(UKBB_EnsPGS.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.17327
β: 0.15979
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019463 PGS004154
(UKBB_EnsPGS.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.08287
β: 0.07961
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019464 PGS004154
(UKBB_EnsPGS.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.14197
β: 0.13276
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019466 PGS004154
(UKBB_EnsPGS.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.23115
β: 0.20795
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019467 PGS004026
(ldpred2.auto.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.10756
β: 0.10216
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019468 PGS004026
(ldpred2.auto.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.16199
β: 0.15013
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019469 PGS004026
(ldpred2.auto.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.13492
β: 0.12656
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019470 PGS004026
(ldpred2.auto.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.1247
β: 0.11752
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019471 PGS004026
(ldpred2.auto.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.23606
β: 0.21193
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019472 PGS004026
(ldpred2.auto.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.21946
β: 0.19841
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019473 PGS004054
(megaprs.auto.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.12005
β: 0.11337
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019474 PGS004054
(megaprs.auto.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.16971
β: 0.15675
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019475 PGS004054
(megaprs.auto.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.09218
β: 0.08817
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019476 PGS004054
(megaprs.auto.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.1469
β: 0.13706
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019477 PGS004054
(megaprs.auto.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.23492
β: 0.211
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019478 PGS004054
(megaprs.auto.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.21483
β: 0.1946
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019479 PGS004070
(megaprs.CV.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.12262
β: 0.11566
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019480 PGS004070
(megaprs.CV.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.17236
β: 0.15902
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019481 PGS004070
(megaprs.CV.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.09524
β: 0.09097
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019482 PGS004070
(megaprs.CV.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.14508
β: 0.13548
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019483 PGS004070
(megaprs.CV.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.24252
β: 0.21714
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019484 PGS004070
(megaprs.CV.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.22477
β: 0.20275
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019485 PGS004098
(prscs.CV.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.10211
β: 0.09723
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019486 PGS004098
(prscs.CV.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.15335
β: 0.14267
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019487 PGS004098
(prscs.CV.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.14227
β: 0.13302
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019488 PGS004098
(prscs.CV.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.11617
β: 0.1099
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019489 PGS004098
(prscs.CV.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.23173
β: 0.20842
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019490 PGS004098
(prscs.CV.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.19231
β: 0.17589
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019491 PGS004084
(prscs.auto.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.10161
β: 0.09677
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019492 PGS004084
(prscs.auto.GCST005838.Stroke)
PSS011234|
European Ancestry|
376,733 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.15354
β: 0.14283
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019493 PGS004084
(prscs.auto.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.1249
β: 0.1177
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019494 PGS004084
(prscs.auto.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.10581
β: 0.10058
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019495 PGS004084
(prscs.auto.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.23758
β: 0.21316
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019496 PGS004084
(prscs.auto.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.20497
β: 0.18646
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019497 PGS004000
(lassosum.auto.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.09992
β: 0.09524
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019499 PGS004000
(lassosum.auto.GCST005838.Stroke)
PSS011247|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.03582
β: 0.0352
AUROC: 0.51 0 beta = log(or)/sd_pgs
PPM019500 PGS004000
(lassosum.auto.GCST005838.Stroke)
PSS011263|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.12602
β: 0.11869
AUROC: 0.53 0 beta = log(or)/sd_pgs
PPM019501 PGS004000
(lassosum.auto.GCST005838.Stroke)
PSS011290|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.05895
β: 0.05728
AUROC: 0.52 0 beta = log(or)/sd_pgs
PPM019502 PGS004000
(lassosum.auto.GCST005838.Stroke)
PSS011276|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Stroke excluding subarachnoid hemorrhage OR: 1.12993
β: 0.12215
AUROC: 0.54 0 beta = log(or)/sd_pgs
PPM019503 PGS004015
(lassosum.CV.GCST005838.Stroke)
PSS011223|
European Ancestry|
48,148 indiv