| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0000589 |
| Description | A congenital disorder (due to inherited enzyme abnormality) or acquired (due to failure of a metabolically important organ) disorder resulting from an abnormal metabolic process. [NCIT: C3235] | Trait category |
Metabolic disorder
|
| Synonyms |
26 synonyms
|
| Mapped terms |
13 mapped terms
|
| Child trait(s) |
16 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000014 (GPS_T2D) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Type 2 diabetes | type 2 diabetes mellitus | 6,917,436 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000014/ScoringFiles/PGS000014.txt.gz | |
| PGS000020 (dGRS1000) |
PGP000010 | Läll K et al. Genet Med (2016) |
Type 2 diabetes | type 2 diabetes mellitus | 7,502 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000020/ScoringFiles/PGS000020.txt.gz |
| PGS000021 (GRS1) |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Type 1 diabetes | type 1 diabetes mellitus | 30 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000021/ScoringFiles/PGS000021.txt.gz | |
| PGS000022 (T1D_GRS) |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Type 1 diabetes | type 1 diabetes mellitus | 37 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000022/ScoringFiles/PGS000022.txt.gz |
| PGS000023 (AA_GRS) |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Type 1 diabetes | type 1 diabetes mellitus | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000023/ScoringFiles/PGS000023.txt.gz |
| PGS000024 (GRS2) |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Type 1 diabetes | type 1 diabetes mellitus | 67 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000024/ScoringFiles/PGS000024.txt.gz |
| PGS000031 (GRSt) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes | type 2 diabetes mellitus | 62 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000031/ScoringFiles/PGS000031.txt.gz |
| PGS000032 (GRSB) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (based on SNPs involved in β-cell function) | type 2 diabetes mellitus | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000032/ScoringFiles/PGS000032.txt.gz |
| PGS000033 (GRSIR) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (based on SNPs involved in insulin resistance) | type 2 diabetes mellitus | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000033/ScoringFiles/PGS000033.txt.gz |
| PGS000036 (gePS_T2D) |
PGP000023 | Mahajan A et al. Nat Genet (2018) |
Type 2 diabetes | type 2 diabetes mellitus | 171,249 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000036/ScoringFiles/PGS000036.txt.gz | |
| PGS000125 (Qi_T2D_2017) |
PGP000062 | Qi Q et al. Diabetes (2017) |
Type 2 Diabetes | type 2 diabetes mellitus | 80 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000125/ScoringFiles/PGS000125.txt.gz |
| PGS000199 (G-PROB_Gout) |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Gout | gout | 250 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000199/ScoringFiles/PGS000199.txt.gz |
| PGS000330 (PRS_T2D) |
PGP000100 | Mars N et al. Nat Med (2020) |
Type 2 diabetes | type 2 diabetes mellitus | 6,437,380 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000330/ScoringFiles/PGS000330.txt.gz | |
| PGS000711 (HC328) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Gout | gout | 183,332 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000711/ScoringFiles/PGS000711.txt.gz |
| PGS000712 (T2D_HbA1c_39) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
T2D (cases vs HbA1c filtered controls) | type 2 diabetes mellitus | 183,695 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000712/ScoringFiles/PGS000712.txt.gz |
| PGS000713 (T2D) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
T2D | type 2 diabetes mellitus | 183,830 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000713/ScoringFiles/PGS000713.txt.gz |
| PGS000729 (T2D_PGS) |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 2,017,388 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000729/ScoringFiles/PGS000729.txt.gz |
| PGS000804 (GRS582_T2Dmulti) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000804/ScoringFiles/PGS000804.txt.gz |
| PGS000805 (GRS582_T2Deur) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000805/ScoringFiles/PGS000805.txt.gz |
| PGS000806 (GRS582_T2Dafr) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000806/ScoringFiles/PGS000806.txt.gz |
| PGS000807 (GRS582_T2Dasn) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000807/ScoringFiles/PGS000807.txt.gz |
| PGS000808 (GRS582_T2Dhis) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000808/ScoringFiles/PGS000808.txt.gz |
| PGS000819 (PRS_DR) |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Diabetic retinopathy | diabetic retinopathy | 3,537,914 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000819/ScoringFiles/PGS000819.txt.gz |
| PGS000832 (T2D-GRS) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 384 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000832/ScoringFiles/PGS000832.txt.gz |
| PGS000833 (T1D) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 1 diabetes | type 1 diabetes mellitus | 66 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz |
| PGS000848 (T2D_Adiposity) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with adiposity) | type 2 diabetes mellitus | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000848/ScoringFiles/PGS000848.txt.gz |
| PGS000849 (T2D_Impaired_Lipids) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with impaired lipids) | type 2 diabetes mellitus | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000849/ScoringFiles/PGS000849.txt.gz |
| PGS000850 (T2D_Insulin_Action) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin action) | type 2 diabetes mellitus | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000850/ScoringFiles/PGS000850.txt.gz |
| PGS000851 (T2D_Insulin_Action_Secretion) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin action/secretion) | type 2 diabetes mellitus | 37 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000851/ScoringFiles/PGS000851.txt.gz |
| PGS000852 (T2D_Insulin_Secretion_1) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000852/ScoringFiles/PGS000852.txt.gz |
| PGS000853 (T2D_Insulin_Secretion_2) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000853/ScoringFiles/PGS000853.txt.gz |
| PGS000854 (T2D_BetaCell) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with beta cell function) | type 2 diabetes mellitus | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000854/ScoringFiles/PGS000854.txt.gz |
| PGS000855 (T2D_Lipodystrophy) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with lipodystrophy) | type 2 diabetes mellitus | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000855/ScoringFiles/PGS000855.txt.gz |
| PGS000856 (T2D_LiverLipids) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with liver lipids) | type 2 diabetes mellitus | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000856/ScoringFiles/PGS000856.txt.gz |
| PGS000857 (T2D_Obesity) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with obesity) | type 2 diabetes mellitus | 4 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000857/ScoringFiles/PGS000857.txt.gz |
| PGS000858 (T2D_Proinsulin) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with proinsulin levels) | type 2 diabetes mellitus | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000858/ScoringFiles/PGS000858.txt.gz |
| PGS000862 (DR) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Diabetic Retinopathy | diabetic retinopathy | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000862/ScoringFiles/PGS000862.txt.gz |
| PGS000864 (T2D-gPRS) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 389,243 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000864/ScoringFiles/PGS000864.txt.gz |
| PGS000868 (T2D_221) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type II diabetes | type 2 diabetes mellitus | 221 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000868/ScoringFiles/PGS000868.txt.gz |
| PGS000869 (T1D_48) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type I diabetes | type 1 diabetes mellitus | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.txt.gz |
| PGS000924 (GBE_HC702) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Disorders of porphyrin and bilirubin metabolism (time-to-event) | bilirubin metabolism disease, porphyrin metabolism disease |
5 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000924/ScoringFiles/PGS000924.txt.gz |
| PGS001023 (GBE_HC703) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Disorders of mineral metabolism (time-to-event) | mineral metabolism disease | 2 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001023/ScoringFiles/PGS001023.txt.gz |
| PGS001248 (GBE_HC328) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Gout | gout | 880 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001248/ScoringFiles/PGS001248.txt.gz |
| PGS001249 (GBE_HC1215) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Gout (time-to-event) | gout | 1,796 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001249/ScoringFiles/PGS001249.txt.gz |
| PGS001294 (GBE_HC649) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Non-insulin-dependent diabetes (time-to-event) | type 2 diabetes mellitus | 3,496 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001294/ScoringFiles/PGS001294.txt.gz |
| PGS001295 (GBE_HC165) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001295/ScoringFiles/PGS001295.txt.gz |
| PGS001296 (GBE_HC648) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Insulin-dependent diabetes mellitus (time-to-event) | type 1 diabetes mellitus | 356 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz |
| PGS001297 (GBE_HC337) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 1 diabetes | type 1 diabetes mellitus | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz |
| PGS001298 (GBE_HC689) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Obesity (time-to-event) | obesity | 9,227 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001298/ScoringFiles/PGS001298.txt.gz |
| PGS001305 (GBE_HC608) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Vitamin b12 deficiency induced anemia (time-to-event) | vitamin B12 deficiency, anemia |
121 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001305/ScoringFiles/PGS001305.txt.gz |
| PGS001318 (GBE_HC700) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Disorders of lipoprotein metabolism and other lipidaemias (time-to-event) | metabolic disease | 7,845 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001318/ScoringFiles/PGS001318.txt.gz |
| PGS001319 (GBE_HC708) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other metabolic disorders (time-to-event) | metabolic disease | 2 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001319/ScoringFiles/PGS001319.txt.gz |
| PGS001327 (GBE_HC221) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diabetes | diabetes mellitus | 4,053 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001327/ScoringFiles/PGS001327.txt.gz |
| PGS001329 (GBE_HC652) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Unspecified diabetes mellitus (time-to-event) | diabetes mellitus | 2,270 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001329/ScoringFiles/PGS001329.txt.gz |
| PGS001357 (T2D_AnnoPred_PRS) |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Type 2 diabetes | type 2 diabetes mellitus | 2,996,761 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001357/ScoringFiles/PGS001357.txt.gz | |
| PGS001371 (GBE_INI2976) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Age diabetes diagnosed | diabetes mellitus, age at diagnosis |
26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001371/ScoringFiles/PGS001371.txt.gz |
| PGS001781 (T2D_PRSCS) |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 1,091,673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001781/ScoringFiles/PGS001781.txt.gz |
| PGS001789 (1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Gout | gout | 910,151 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001789/ScoringFiles/PGS001789.txt.gz |
| PGS001817 (portability-PLR_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes | type 1 diabetes mellitus | 825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.txt.gz |
| PGS001818 (portability-PLR_250.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 30,745 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001818/ScoringFiles/PGS001818.txt.gz |
| PGS001819 (portability-PLR_250.7) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diabetic retinopathy | diabetic retinopathy | 249 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001819/ScoringFiles/PGS001819.txt.gz |
| PGS001822 (portability-PLR_274.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Gout | gout | 216 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001822/ScoringFiles/PGS001822.txt.gz |
| PGS001823 (portability-PLR_275.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Disorders of iron metabolism | iron metabolism disease | 654 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001823/ScoringFiles/PGS001823.txt.gz |
| PGS001824 (portability-PLR_277.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Disorders of bilirubin excretion | Disorder of bilirubin metabolism and excretion | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001824/ScoringFiles/PGS001824.txt.gz |
| PGS001825 (portability-PLR_278) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Overweight, obesity and other hyperalimentation | obesity, overweight body mass index status, overnutrition |
13,009 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001825/ScoringFiles/PGS001825.txt.gz |
| PGS002025 (portability-ldpred2_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes | type 1 diabetes mellitus | 106,800 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.txt.gz |
| PGS002026 (portability-ldpred2_250.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 830,783 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002026/ScoringFiles/PGS002026.txt.gz |
| PGS002027 (portability-ldpred2_250.7) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diabetic retinopathy | diabetic retinopathy | 389,029 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002027/ScoringFiles/PGS002027.txt.gz |
| PGS002030 (portability-ldpred2_274.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Gout | gout | 163,210 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002030/ScoringFiles/PGS002030.txt.gz |
| PGS002031 (portability-ldpred2_275.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Disorders of iron metabolism | iron metabolism disease | 6,713 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002031/ScoringFiles/PGS002031.txt.gz |
| PGS002032 (portability-ldpred2_277.4) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Disorders of bilirubin excretion | Disorder of bilirubin metabolism and excretion | 19,768 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002032/ScoringFiles/PGS002032.txt.gz |
| PGS002033 (portability-ldpred2_278) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Overweight, obesity and other hyperalimentation | obesity, overweight body mass index status, overnutrition |
846,292 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002033/ScoringFiles/PGS002033.txt.gz |
| PGS002098 (portability-ldpred2_abnormal_appetite) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Recent poor appetite or overeating | eating disorder | 764,146 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002098/ScoringFiles/PGS002098.txt.gz |
| PGS002243 (ldpred_t2d) |
PGP000271 | Mars N et al. Cell Genom (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 6,431,973 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002243/ScoringFiles/PGS002243.txt.gz | |
| PGS002256 (GRS4_GDM) |
PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022) |
Gestational diabetes mellitus in early pregnancy | gestational diabetes | 4 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002256/ScoringFiles/PGS002256.txt.gz | |
| PGS002277 (pPS_Insulin_secretion_1) |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002277/ScoringFiles/PGS002277.txt.gz |
| PGS002307 (PRS33_gout) |
PGP000329 | Zhang Y et al. BMC Med (2022) |
Gout | gout | 33 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002307/ScoringFiles/PGS002307.txt.gz |
| PGS002308 (PRScsx_T2D) |
PGP000331 | Ge T et al. Genome Med (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 1,259,754 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002308/ScoringFiles/PGS002308.txt.gz |
| PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002321/ScoringFiles/PGS002321.txt.gz |
| PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002324/ScoringFiles/PGS002324.txt.gz |
| PGS002354 (disease_T2D.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002354/ScoringFiles/PGS002354.txt.gz |
| PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 920,930 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002379/ScoringFiles/PGS002379.txt.gz |
| PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 3,813 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002393/ScoringFiles/PGS002393.txt.gz |
| PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
3,681 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002396/ScoringFiles/PGS002396.txt.gz |
| PGS002426 (disease_T2D.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 3,947 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002426/ScoringFiles/PGS002426.txt.gz |
| PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 15,915 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002442/ScoringFiles/PGS002442.txt.gz |
| PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
15,629 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002445/ScoringFiles/PGS002445.txt.gz |
| PGS002475 (disease_T2D.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 16,275 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002475/ScoringFiles/PGS002475.txt.gz |
| PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 95,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002491/ScoringFiles/PGS002491.txt.gz |
| PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
93,293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002494/ScoringFiles/PGS002494.txt.gz |
| PGS002524 (disease_T2D.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 95,287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002524/ScoringFiles/PGS002524.txt.gz |
| PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 598 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002540/ScoringFiles/PGS002540.txt.gz |
| PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
528 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002543/ScoringFiles/PGS002543.txt.gz |
| PGS002573 (disease_T2D.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002573/ScoringFiles/PGS002573.txt.gz |
| PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 267 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002589/ScoringFiles/PGS002589.txt.gz |
| PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002592/ScoringFiles/PGS002592.txt.gz |
| PGS002622 (disease_T2D.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002622/ScoringFiles/PGS002622.txt.gz |
| PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 247,386 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002638/ScoringFiles/PGS002638.txt.gz |
| PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
256,678 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002641/ScoringFiles/PGS002641.txt.gz |
| PGS002671 (disease_T2D.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 258,382 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002671/ScoringFiles/PGS002671.txt.gz |
| PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 923,080 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002687/ScoringFiles/PGS002687.txt.gz |
| PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
905,637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002690/ScoringFiles/PGS002690.txt.gz |
| PGS002720 (disease_T2D.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 911,809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002720/ScoringFiles/PGS002720.txt.gz |
| PGS002733 (GRS17_T2D) |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 17 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002733/ScoringFiles/PGS002733.txt.gz |
| PGS002762 (Urate_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Gout | gout | 1,092,214 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002762/ScoringFiles/PGS002762.txt.gz |
| PGS002771 (Type_2_diabetes_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 1,091,608 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002771/ScoringFiles/PGS002771.txt.gz |
| PGS002779 (GTG_T2D_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident type 2 diabetes | type 2 diabetes mellitus | 46,353 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002779/ScoringFiles/PGS002779.txt.gz | |
| PGS002780 (GTG_T2D_SCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident type 2 diabetes | type 2 diabetes mellitus | 419,209 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002780/ScoringFiles/PGS002780.txt.gz | |
| PGS003089 (ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 488,969 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003089/ScoringFiles/PGS003089.txt.gz | |
| PGS003090 (ExPRSweb_T2D_2443_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 1,888 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003090/ScoringFiles/PGS003090.txt.gz | |
| PGS003091 (ExPRSweb_T2D_2443_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 2,707 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003091/ScoringFiles/PGS003091.txt.gz | |
| PGS003092 (ExPRSweb_T2D_2443_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 10,304,000 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003092/ScoringFiles/PGS003092.txt.gz | |
| PGS003093 (ExPRSweb_T2D_2443_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003093/ScoringFiles/PGS003093.txt.gz | |
| PGS003094 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 266,890 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003094/ScoringFiles/PGS003094.txt.gz | |
| PGS003095 (ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 45 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003095/ScoringFiles/PGS003095.txt.gz | |
| PGS003096 (ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 46 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003096/ScoringFiles/PGS003096.txt.gz | |
| PGS003097 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 229 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003097/ScoringFiles/PGS003097.txt.gz | |
| PGS003098 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 1,116,101 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003098/ScoringFiles/PGS003098.txt.gz | |
| PGS003099 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 555,512 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003099/ScoringFiles/PGS003099.txt.gz | |
| PGS003100 (ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 5,693 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003100/ScoringFiles/PGS003100.txt.gz | |
| PGS003101 (ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 5,693 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003101/ScoringFiles/PGS003101.txt.gz | |
| PGS003102 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 5,052,574 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003102/ScoringFiles/PGS003102.txt.gz | |
| PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 945,820 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003103/ScoringFiles/PGS003103.txt.gz | |
| PGS003104 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 374,510 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003104/ScoringFiles/PGS003104.txt.gz | |
| PGS003105 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 187 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003105/ScoringFiles/PGS003105.txt.gz | |
| PGS003106 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 187 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003106/ScoringFiles/PGS003106.txt.gz | |
| PGS003107 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 995 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003107/ScoringFiles/PGS003107.txt.gz | |
| PGS003108 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 1,118,480 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003108/ScoringFiles/PGS003108.txt.gz | |
| PGS003109 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 311,565 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003109/ScoringFiles/PGS003109.txt.gz | |
| PGS003110 (ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 118 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003110/ScoringFiles/PGS003110.txt.gz | |
| PGS003111 (ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 143 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003111/ScoringFiles/PGS003111.txt.gz | |
| PGS003112 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 222 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003112/ScoringFiles/PGS003112.txt.gz | |
| PGS003113 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 1,117,087 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003113/ScoringFiles/PGS003113.txt.gz | |
| PGS003114 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 555,528 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003114/ScoringFiles/PGS003114.txt.gz | |
| PGS003115 (ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 31,462 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003115/ScoringFiles/PGS003115.txt.gz | |
| PGS003116 (ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 31,462 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003116/ScoringFiles/PGS003116.txt.gz | |
| PGS003117 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 5,052,993 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003117/ScoringFiles/PGS003117.txt.gz | |
| PGS003118 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 945,921 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003118/ScoringFiles/PGS003118.txt.gz | |
| PGS003119 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 407,553 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003119/ScoringFiles/PGS003119.txt.gz | |
| PGS003120 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 193 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003120/ScoringFiles/PGS003120.txt.gz | |
| PGS003121 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 193 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003121/ScoringFiles/PGS003121.txt.gz | |
| PGS003122 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 264 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003122/ScoringFiles/PGS003122.txt.gz | |
| PGS003123 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 1,119,522 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003123/ScoringFiles/PGS003123.txt.gz | |
| PGS003329 (PRS19_gout) |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Gout | gout | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003329/ScoringFiles/PGS003329.txt.gz |
| PGS003353 (GRS_T2D) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Type 2 diabetes | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003353/ScoringFiles/PGS003353.txt.gz |
| PGS003400 (PRS97_obesity) |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |
Obesity | obesity | 97 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003400/ScoringFiles/PGS003400.txt.gz |
| PGS003402 (PRS_T2D) |
PGP000419 | Lamri A et al. Elife (2022) |
Type 2 Diabetes | type 2 diabetes mellitus | 6,838 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003402/ScoringFiles/PGS003402.txt.gz | |
| PGS003443 (PRScsx_T2D_LAT_EURweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
type 2 diabetes | type 2 diabetes mellitus | 1,092,496 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003443/ScoringFiles/PGS003443.txt.gz | |
| PGS003444 (PRScsx_T2D_LAT_EASweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
type 2 diabetes | type 2 diabetes mellitus | 1,001,579 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003444/ScoringFiles/PGS003444.txt.gz | |
| PGS003445 (PRScsx_T2D_LAT_LATweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
type 2 diabetes | type 2 diabetes mellitus | 1,149,210 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003445/ScoringFiles/PGS003445.txt.gz | |
| PGS003452 (PRS2_WM) |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Waldenström macroglobulinemia | Waldenstrom macroglobulinemia | 2 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003452/ScoringFiles/PGS003452.txt.gz |
| PGS003728 (PS_T2D_183-AGEN) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 183 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003728/ScoringFiles/PGS003728.txt.gz |
| PGS003729 (PS_T2D_293-DIAGRAM) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003729/ScoringFiles/PGS003729.txt.gz |
| PGS003730 (PS_T2D_287-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003730/ScoringFiles/PGS003730.txt.gz |
| PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 282 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003731/ScoringFiles/PGS003731.txt.gz |
| PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003732/ScoringFiles/PGS003732.txt.gz |
| PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003733/ScoringFiles/PGS003733.txt.gz |
| PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003734/ScoringFiles/PGS003734.txt.gz |
| PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 276 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003735/ScoringFiles/PGS003735.txt.gz |
| PGS003749 (ModelT1D_under25) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 6,612 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003749/ScoringFiles/PGS003749.txt.gz | |
| PGS003750 (ModelT1D) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 7,835 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003750/ScoringFiles/PGS003750.txt.gz | |
| PGS003751 (ModelT2D_over45) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003751/ScoringFiles/PGS003751.txt.gz | |
| PGS003752 (ModelT2D) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 333 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003752/ScoringFiles/PGS003752.txt.gz |
|
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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000040 | PGS000020 (dGRS1000) |
PSS000025| European Ancestry| 6,280 individuals |
PGP000010 | Läll K et al. Genet Med (2016) |
Reported Trait: Incident type 2 diabetes | HR: 1.48 [1.32, 1.66] | C-index: 0.79 [0.771, 0.812] | — | BMI category, smoking level, waist-to-hip ratio, waist circumference, physical activity level, history of high blood glucose, fruit and vegetable consumption, and sex. | Cox age-as-time-scale |
| PPM000062 | PGS000031 (GRSt) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [1.04, 1.08] | C-index: 0.906 [0.892, 0.92] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000063 | PGS000031 (GRSt) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [1.02, 1.1] | C-index: 0.853 [0.81, 0.896] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000064 | PGS000031 (GRSt) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.05 [1.0, 1.09] | C-index: 0.771 [0.727, 0.814] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000065 | PGS000032 (GRSB) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.1 [1.06, 1.14] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000066 | PGS000032 (GRSB) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.09 [1.02, 1.17] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000067 | PGS000032 (GRSB) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [0.99, 1.15] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000068 | PGS000033 (GRSIR) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 0.98 [0.93, 1.04] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000069 | PGS000033 (GRSIR) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.01 [0.91, 1.12] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000070 | PGS000033 (GRSIR) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [0.99, 1.15] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000080 | PGS000036 (gePS_T2D) |
PSS000054| European Ancestry| 324,870 individuals |
PGP000024 | Udler MS et al. Endocr Rev (2019) |Ext. |
Reported Trait: Type 2 diabetes | — | AUROC: 0.66 | — | genotyping array, first 6 PCs of ancestry | — |
| PPM000081 | PGS000036 (gePS_T2D) |
PSS000054| European Ancestry| 324,870 individuals |
PGP000024 | Udler MS et al. Endocr Rev (2019) |Ext. |
Reported Trait: Type 2 diabetes | — | AUROC: 0.73 | — | age, sex, genotyping array, first 6 PCs of ancestry | — |
| PPM000582 | PGS000199 (G-PROB_Gout) |
PSS000311| European Ancestry| 243 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Gout diagnosis in patient with arthritis | — | AUROC: 0.85 [0.8, 0.91] | — | — | (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit) |
| PPM016117 | PGS003329 (PRS19_gout) |
PSS010039| European Ancestry| 5,522 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Age at onset of gout (in men) | β: -3.61 [-4.32, -2.9] | — | — | 10 Global PCs | — |
| PPM016120 | PGS003329 (PRS19_gout) |
PSS010039| European Ancestry| 5,522 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Tophaceous Disease (in men) | β: 1.15 [1.0, 1.31] | — | — | 10 Global PCs | — |
| PPM016123 | PGS003329 (PRS19_gout) |
PSS010039| European Ancestry| 5,522 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Age at onset of gout (in women) | β: 0.07 [-2.32, 2.45] | — | — | 10 Global PCs | — |
| PPM016126 | PGS003329 (PRS19_gout) |
PSS010039| European Ancestry| 5,522 individuals |
PGP000394 | Sumpter NA et al. Arthritis Rheumatol (2022) |
Reported Trait: Tophaceous Disease (in women) | β: 0.68 [0.42, 1.1] | — | — | 10 Global PCs | — |
| PPM001667 | PGS000729 (T2D_PGS) |
PSS000869| European Ancestry| 3,087 individuals |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Reported Trait: Incident type 2 diabetes | HR: 2.0 [1.36, 2.94] | — | — | age, sex, 10 genetic PCs | — |
| PPM000404 | PGS000125 (Qi_T2D_2017) |
PSS000232| Hispanic or Latin American Ancestry| 7,746 individuals |
PGP000062 | Qi Q et al. Diabetes (2017) |
Reported Trait: Type 2 Diabetes | — | — | OR (Odds Ratio, per risk allele): 1.07 [1.06, 1.08] | center, age, sex, 5 PCs of ancestry | Covariance matrices corresponding to genetic relatedness (kinship), household, and census block group were included as random effects in the mixed model analysis |
| PPM000132 | PGS000021 (GRS1) |
PSS000083| European Ancestry| 2,768 individuals |
PGP000038 | Patel KA et al. Diabetes (2016) |Ext. |
Reported Trait: Type 1 diabetes aetiology (non-monogenic) | — | AUROC: 0.87 [0.86, 0.89] | — | — | Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation |
| PPM000042 | PGS000022 (T1D_GRS) |
PSS000029| European Ancestry| 1,447 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.8508 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000043 | PGS000022 (T1D_GRS) |
PSS000028| Hispanic or Latin American Ancestry| 252 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.9003 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000044 | PGS000022 (T1D_GRS) |
PSS000027| African Ancestry| 299 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7522 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000045 | PGS000023 (AA_GRS) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.87 | — | — | NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations) |
| PPM000023 | PGS000014 (GPS_T2D) |
PSS000017| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.73 [0.72, 0.73] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM000041 | PGS000021 (GRS1) |
PSS000026| European Ancestry| 223 individuals |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Reported Trait: Severe insulin deficiency | — | AUROC: 0.96 [0.94, 0.99] | AUROC (without covariates): 0.87 | islet auto-antibody status, body mass index (BMI), age at diagnosis | — |
| PPM000897 | PGS000330 (PRS_T2D) |
PSS000441| European Ancestry| 21,030 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident type 2 diabetes | — | C-index: 0.845 | — | age, sex, BMI, history of stroke or CHD, parental history of diabetes, SBP, DBP, HDL, triglycerides, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000892 | PGS000330 (PRS_T2D) |
PSS000441| European Ancestry| 21,030 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident type 2 diabetes | HR: 1.7 [1.63, 1.78] | C-index: 0.763 | — | age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000046 | PGS000021 (GRS1) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.798 | — | — | — |
| PPM000047 | PGS000023 (AA_GRS) |
PSS000031| African Ancestry| 145 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.779 | — | — | — |
| PPM000048 | PGS000024 (GRS2) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.921 | Youden index: 0.698 | — | — |
| PPM000049 | PGS000021 (GRS1) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.893 | — | — | — |
| PPM000753 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) | — | AUROC: 0.93 | — | autoantibodies, family history | — |
| PPM000754 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) | — | AUROC: 0.87 | — | autoantibodies, family history | — |
| PPM000755 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000751 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM002240 | PGS000832 (T2D-GRS) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.24 [1.16, 1.34] | — | — | PC1-10 | — |
| PPM002242 | PGS000832 (T2D-GRS) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.77 [1.67, 1.88] | — | — | PC1-10 | — |
| PPM002243 | PGS000833 (T1D) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.39 [1.25, 1.54] | — | — | PC1-10 | — |
| PPM000887 | PGS000330 (PRS_T2D) |
PSS000448| European Ancestry| 135,300 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Type 2 diabetes (incident and prevalent cases) | HR: 1.74 [1.72, 1.77] | — | — | genotyping array/batch, 10 ancestry PCs, stratified by sex | — |
| PPM002190 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Retinal hemorrhage in inidividuals with type 2 diabetes | OR: 1.44 [1.03, 2.02] | — | — | — | — |
| PPM000752 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) | — | AUROC: 0.94 | — | autoantibodies, family history | — |
| PPM000750 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) | — | AUROC: 0.73 [0.7, 0.77] | — | — | — |
| PPM001603 | PGS000711 (HC328) |
PSS000815| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Gout | — | AUROC: 0.7107 | — | Age, sex, PCs(1-10) | — |
| PPM001604 | PGS000712 (T2D_HbA1c_39) |
PSS000755| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68713 | — | Age, sex, PCs(1-10) | — |
| PPM001605 | PGS000713 (T2D) |
PSS000754| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.688 | — | Age, sex, PCs(1-10) | — |
| PPM001615 | PGS000713 (T2D) |
PSS000756| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | HR: 1.49 [1.47, 1.51] | C-index: 0.669 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001616 | PGS000711 (HC328) |
PSS000816| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Gout | HR: 1.58 [1.51, 1.65] | C-index: 0.673 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM002116 | PGS000806 (GRS582_T2Dafr) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6656 [0.6569, 0.6743] | Odds Ratio (OR, top 10% vs middle 20%): 1.53 [1.36, 1.73] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002117 | PGS000804 (GRS582_T2Dmulti) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.568 [0.5588, 0.5772] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002118 | PGS000806 (GRS582_T2Dafr) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.5592 [0.5499, 0.5684] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002119 | PGS000804 (GRS582_T2Dmulti) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.825 [0.8222, 0.8279] | Odds Ratio (OR, top 10% vs middle 20%): 2.94 [2.8, 3.08] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002120 | PGS000805 (GRS582_T2Deur) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8253 [0.8224, 0.8281] | Odds Ratio (OR, top 10% vs middle 20%): 2.95 [2.81, 3.1] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002121 | PGS000804 (GRS582_T2Dmulti) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6586 [0.6547, 0.6624] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002122 | PGS000805 (GRS582_T2Deur) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6593 [0.6555, 0.6632] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002123 | PGS000804 (GRS582_T2Dmulti) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7293 [0.721, 0.7376] | Odds Ratio (OR, top 10% vs middle 20%): 2.39 [2.1, 2.73] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002124 | PGS000808 (GRS582_T2Dhis) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7202 [0.7118, 0.7286] | Odds Ratio (OR, top 10% vs middle 20%): 2.04 [1.79, 2.32] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002125 | PGS000804 (GRS582_T2Dmulti) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6249 [0.6156, 0.6342] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002126 | PGS000808 (GRS582_T2Dhis) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6098 [0.6004, 0.6192] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002127 | PGS000804 (GRS582_T2Dmulti) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8411 [0.8298, 0.8523] | Odds Ratio (OR, top 10% vs middle 20%): 3.08 [2.4, 3.95] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002128 | PGS000807 (GRS582_T2Dasn) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8388 [0.8274, 0.8502] | Odds Ratio (OR, top 10% vs middle 20%): 2.84 [2.21, 3.65] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002129 | PGS000804 (GRS582_T2Dmulti) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6263 [0.6101, 0.6425] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM000576 | PGS000199 (G-PROB_Gout) |
PSS000310| European Ancestry| 245 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Gout diagnosis in patient with arthritis | — | AUROC: 0.82 [0.73, 0.94] | — | — | (Setting II: Assigning patient diagnoses based on medical records) |
| PPM002130 | PGS000807 (GRS582_T2Dasn) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6161 [0.5998, 0.6324] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002131 | PGS000804 (GRS582_T2Dmulti) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7989 [0.7845, 0.8133] | Odds Ratio (OR, top 10% vs middle 20%): 2.02 [1.54, 2.65] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002133 | PGS000804 (GRS582_T2Dmulti) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6214 [0.603, 0.6399] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002134 | PGS000805 (GRS582_T2Deur) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6213 [0.6029, 0.6397] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002135 | PGS000807 (GRS582_T2Dasn) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7909 [0.7763, 0.8056] | Odds Ratio (OR, top 10% vs middle 20%): 1.62 [1.23, 2.14] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002136 | PGS000807 (GRS582_T2Dasn) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.5768 [0.558, 0.5956] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM000570 | PGS000199 (G-PROB_Gout) |
PSS000320| Multi-ancestry (including European)| 1,211 individuals |
PGP000081 | Knevel R et al. Sci Transl Med (2020) |
Reported Trait: Gout diagnosis in patient with arthritis | — | AUROC: 0.78 [0.75, 0.8] | — | — | (Setting I: Assigning patient diagnoses based on billing codes) |
| PPM002115 | PGS000804 (GRS582_T2Dmulti) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6701 [0.6615, 0.6788] | Odds Ratio (OR, top 10% vs middle 20%): 1.57 [1.39, 1.77] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM012948 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (normal BMI) | β: 37.31 (16.7) | — | R²: 0.012 | — | — |
| PPM002132 | PGS000805 (GRS582_T2Deur) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7985 [0.7842, 0.8129] | Odds Ratio (OR, top 10% vs middle 20%): 2.13 [1.63, 2.79] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002246 | PGS000833 (T1D) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002247 | PGS000833 (T1D) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.02 [0.97, 1.07] | — | — | PC1-10 | — |
| PPM002185 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.12 [1.04, 1.2] | — | — | — | — |
| PPM002186 | PGS000819 (PRS_DR) |
PSS001066| European Ancestry| 978 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.22 [1.02, 1.41] | — | — | — | — |
| PPM002187 | PGS000819 (PRS_DR) |
PSS001065| African Ancestry| 1,925 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.15 [1.03, 1.28] | — | — | — | — |
| PPM002188 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | — | — | Odds Ratio (OR, top 10% vs bottom 10%): 1.8 [1.28, 2.55] | Age, sex, body mass index, PCs(1-20), history of hypertension, glucose levels | — |
| PPM002189 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.14 [1.05, 1.23] | — | — | PCs(1-20), type 2 diabetes duration, type 2 diabetes medication, hyperglycemia, elevated HbA1c, hypertension, hypercholesterolemia, hyperlipidemia, insomina, sleep apnea, age, sex, body mass index | — |
| PPM002191 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diplopia in individuals with type 2 diabetes | OR: 1.31 [1.02, 1.7] | — | — | — | — |
| PPM002192 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Time to diabetic retinopathy diagnosis in individuals with type 2 diabetes | HR: 1.13 [1.05, 1.21] | — | — | Age, sex, body mass index, PCs(1-20), history of hypertension, glucose levels | — |
| PPM002249 | PGS000024 (GRS2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002250 | PGS000024 (GRS2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002251 | PGS000024 (GRS2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.01 [0.95, 1.08] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002252 | PGS000024 (GRS2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.99 [0.94, 1.04] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002323 | PGS000848 (T2D_Adiposity) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.11 [1.0, 1.23] | — | — | PC1-10 | — |
| PPM002324 | PGS000848 (T2D_Adiposity) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.1 [1.02, 1.18] | — | — | PC1-10 | — |
| PPM002325 | PGS000848 (T2D_Adiposity) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.11 [1.03, 1.19] | — | — | PC1-10 | — |
| PPM002326 | PGS000848 (T2D_Adiposity) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.2 [1.12, 1.28] | — | — | PC1-10 | — |
| PPM002327 | PGS000848 (T2D_Adiposity) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.06 [1.0, 1.12] | — | — | PC1-10 | — |
| PPM002329 | PGS000849 (T2D_Impaired_Lipids) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.07 [1.0, 1.15] | — | — | PC1-10 | — |
| PPM002330 | PGS000849 (T2D_Impaired_Lipids) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.09 [1.01, 1.17] | — | — | PC1-10 | — |
| PPM002331 | PGS000849 (T2D_Impaired_Lipids) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | — |
| PPM002332 | PGS000849 (T2D_Impaired_Lipids) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.06 [1.0, 1.12] | — | — | PC1-10 | — |
| PPM002333 | PGS000850 (T2D_Insulin_Action) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.08 [0.98, 1.2] | — | — | PC1-10 | — |
| PPM002334 | PGS000850 (T2D_Insulin_Action) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.17 [1.09, 1.25] | — | — | PC1-10 | — |
| PPM002335 | PGS000850 (T2D_Insulin_Action) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.17 [1.09, 1.26] | — | — | PC1-10 | — |
| PPM002337 | PGS000850 (T2D_Insulin_Action) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.16 [1.1, 1.23] | — | — | PC1-10 | — |
| PPM002338 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.24 [1.12, 1.37] | — | — | PC1-10 | — |
| PPM002339 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.23 [1.15, 1.32] | — | — | PC1-10 | — |
| PPM002340 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002341 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.19 [1.12, 1.28] | — | — | PC1-10 | — |
| PPM002342 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.19 [1.13, 1.26] | — | — | PC1-10 | — |
| PPM002343 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.01 [0.91, 1.12] | — | — | PC1-10 | — |
| PPM002344 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.31 [1.22, 1.41] | — | — | PC1-10 | — |
| PPM002345 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.12] | — | — | PC1-10 | — |
| PPM002347 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.29 [1.22, 1.37] | — | — | PC1-10 | — |
| PPM002348 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.99 [0.9, 1.1] | — | — | PC1-10 | — |
| PPM002349 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.26 [1.18, 1.36] | — | — | PC1-10 | — |
| PPM002350 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002351 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.18 [1.11, 1.27] | — | — | PC1-10 | — |
| PPM002352 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.23 [1.17, 1.3] | — | — | PC1-10 | — |
| PPM002353 | PGS000854 (T2D_BetaCell) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.0 [0.91, 1.11] | — | — | PC1-10 | — |
| PPM002354 | PGS000854 (T2D_BetaCell) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.32 [1.23, 1.42] | — | — | PC1-10 | — |
| PPM002355 | PGS000854 (T2D_BetaCell) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002357 | PGS000854 (T2D_BetaCell) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.27 [1.2, 1.34] | — | — | PC1-10 | — |
| PPM002358 | PGS000855 (T2D_Lipodystrophy) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.12 [1.01, 1.25] | — | — | PC1-10 | — |
| PPM002359 | PGS000855 (T2D_Lipodystrophy) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.23 [1.15, 1.33] | — | — | PC1-10 | — |
| PPM002360 | PGS000855 (T2D_Lipodystrophy) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.15 [1.07, 1.24] | — | — | PC1-10 | — |
| PPM002361 | PGS000855 (T2D_Lipodystrophy) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.14 [1.06, 1.22] | — | — | PC1-10 | — |
| PPM002362 | PGS000855 (T2D_Lipodystrophy) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.18 [1.11, 1.24] | — | — | PC1-10 | — |
| PPM002363 | PGS000856 (T2D_LiverLipids) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.35 [1.22, 1.51] | — | — | PC1-10 | — |
| PPM002364 | PGS000856 (T2D_LiverLipids) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002366 | PGS000856 (T2D_LiverLipids) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002367 | PGS000856 (T2D_LiverLipids) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.95 [0.9, 1.01] | — | — | PC1-10 | — |
| PPM002368 | PGS000857 (T2D_Obesity) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.07 [0.97, 1.19] | — | — | PC1-10 | — |
| PPM002369 | PGS000857 (T2D_Obesity) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.08 [1.01, 1.16] | — | — | PC1-10 | — |
| PPM002370 | PGS000857 (T2D_Obesity) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.13 [1.05, 1.22] | — | — | PC1-10 | — |
| PPM002371 | PGS000857 (T2D_Obesity) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.19 [1.11, 1.27] | — | — | PC1-10 | — |
| PPM002372 | PGS000857 (T2D_Obesity) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.04 [0.99, 1.1] | — | — | PC1-10 | — |
| PPM002373 | PGS000858 (T2D_Proinsulin) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.94 [0.85, 1.04] | — | — | PC1-10 | — |
| PPM002374 | PGS000858 (T2D_Proinsulin) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.14 [1.06, 1.22] | — | — | PC1-10 | — |
| PPM002376 | PGS000858 (T2D_Proinsulin) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.06 [0.99, 1.13] | — | — | PC1-10 | — |
| PPM002377 | PGS000858 (T2D_Proinsulin) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.1 [1.04, 1.16] | — | — | PC1-10 | — |
| PPM002393 | PGS000862 (DR) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.98 [0.89, 1.08] | — | — | PC1-10 | — |
| PPM002395 | PGS000862 (DR) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.09 [1.02, 1.17] | — | — | PC1-10 | — |
| PPM002413 | PGS000868 (T2D_221) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Reported Trait: Cystic-fibrosis related diabetes | HR: 1.285 | — | — | PCs(1-4), site of recruitment | — |
| PPM002414 | PGS000869 (T1D_48) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Reported Trait: Cystic-fibrosis related diabetes | HR: 1.077 | — | — | PCs(1-4), site of recruitment | — |
| PPM002415 | PGS000032 (GRSB) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |Ext. |
Reported Trait: Cystic-fibrosis related diabetes onset | HR: 1.192 | — | — | PCs(1-4), site of recruitment | — |
| PPM002403 | PGS000864 (T2D-gPRS) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.42 [1.28, 1.58] | — | — | PC1-10 | — |
| PPM002404 | PGS000864 (T2D-gPRS) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.93 [1.79, 2.09] | — | — | PC1-10 | — |
| PPM002406 | PGS000864 (T2D-gPRS) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 2.12 [1.96, 2.29] | — | — | PC1-10 | — |
| PPM002407 | PGS000864 (T2D-gPRS) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.59 [1.5, 1.69] | — | — | PC1-10 | — |
| PPM017036 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x BMI interaction | β: 89.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017037 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x Born in South Asia interaction | β: 84.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017038 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x Low diet quality interaction (only in START cohort) | β: 0.141 [0.053, 0.228] | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM002477 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.709 [0.696, 0.722] | Hazard ratio (HR, top 10% vs. remaining 90%): 2.0 [1.73, 2.31] | Sex, age, principal components, assessment center | — |
| PPM002478 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.68 [0.663, 0.697] | — | Age, principal components and assessment center | — |
| PPM002479 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.705 [0.682, 0.728] | — | Age, principal components and assessment center | — |
| PPM002480 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.776 [0.764, 0.788] | — | Sex, age, principal components, assessment center, polyexposure score | — |
| PPM002481 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.844 [0.834, 0.854] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002482 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.855 [0.845, 0.865] | — | Sex, age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002483 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.786 [0.765, 0.807] | — | Age, principal components, assessment center, polyexposure score | — |
| PPM002485 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.859 [0.842, 0.876] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002486 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.749 [0.734, 0.764] | — | Age, principal components, assessment center, polyexposure score | — |
| PPM002487 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.821 [0.808, 0.834] | — | Age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002488 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.834 [0.821, 0.847] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM017039 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: AUC glucose x BMI interaction | β: 77.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017040 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: GDM (IADPSG criteria) x BMI interaction | OR: 0.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM002484 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.869 [0.853, 0.885] | — | Age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002239 | PGS000832 (T2D-GRS) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.96 [1.81, 2.12] | — | — | PC1-10 | — |
| PPM002244 | PGS000833 (T1D) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002238 | PGS000832 (T2D-GRS) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.28 [1.16, 1.42] | — | — | PC1-10 | — |
| PPM002241 | PGS000832 (T2D-GRS) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.73 [1.61, 1.86] | — | — | PC1-10 | — |
| PPM002397 | PGS000862 (DR) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.01 [0.96, 1.07] | — | — | PC1-10 | — |
| PPM002245 | PGS000833 (T1D) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.03 [0.96, 1.11] | — | — | PC1-10 | — |
| PPM002248 | PGS000024 (GRS2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Autoimmune Diabetes | OR: 2.55 [2.28, 2.86] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002328 | PGS000849 (T2D_Impaired_Lipids) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.08 [0.97, 1.2] | — | — | PC1-10 | — |
| PPM002336 | PGS000850 (T2D_Insulin_Action) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.14 [1.07, 1.22] | — | — | PC1-10 | — |
| PPM002346 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.26 [1.18, 1.35] | — | — | PC1-10 | — |
| PPM002356 | PGS000854 (T2D_BetaCell) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.21 [1.13, 1.3] | — | — | PC1-10 | — |
| PPM005189 | PGS001357 (T2D_AnnoPred_PRS) |
PSS003606| European Ancestry| 178,138 individuals |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6446 | — | Age, sex, PCs(1-10) | — |
| PPM002365 | PGS000856 (T2D_LiverLipids) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.97 [0.91, 1.05] | — | — | PC1-10 | — |
| PPM002375 | PGS000858 (T2D_Proinsulin) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.93 [0.87, 1.0] | — | — | PC1-10 | — |
| PPM002394 | PGS000862 (DR) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.03 [0.96, 1.1] | — | — | PC1-10 | — |
| PPM002396 | PGS000862 (DR) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.09 [1.02, 1.17] | — | — | PC1-10 | — |
| PPM002405 | PGS000864 (T2D-gPRS) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.56 [1.45, 1.69] | — | — | PC1-10 | — |
| PPM009277 | PGS001781 (T2D_PRSCS) |
PSS007684| European Ancestry| 309,154 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Type 2 diabetes (incident and prevalent) | OR: 1.59 [1.57, 1.61] | AUROC: 0.758 [0.756, 0.761] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009281 | PGS001781 (T2D_PRSCS) |
PSS007685| European Ancestry| 279,879 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.52 [1.49, 1.55] | AUROC: 0.852 [0.849, 0.855] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM007030 | PGS001371 (GBE_INI2976) |
PSS006886| African Ancestry| 673 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.28398 [0.26544, 0.30253] Incremental R2 (full-covars): -0.00362 PGS R2 (no covariates): 0.00112 [-0.0005, 0.00275] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007031 | PGS001371 (GBE_INI2976) |
PSS006887| East Asian Ancestry| 86 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.31131 [0.27489, 0.34772] Incremental R2 (full-covars): 0.00576 PGS R2 (no covariates): 0.00203 [-0.00223, 0.00629] |
age, sex, UKB array type, Genotype PCs | — |
| PPM016326 | PGS003400 (PRS97_obesity) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |
Reported Trait: Atrial fibrillation | OR: 1.45 β: 0.37 (0.07) |
— | — | — | — |
| PPM016327 | PGS003400 (PRS97_obesity) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |
Reported Trait: Ischemic Heart Disease | OR: 1.35 β: 0.3 (0.06) |
— | — | — | — |
| PPM016328 | PGS003400 (PRS97_obesity) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |
Reported Trait: Gastrojejunal ulcer | OR: 6.42 β: 1.86 (0.38) |
— | — | — | — |
| PPM016482 | PGS003400 (PRS97_obesity) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |
Reported Trait: Cholelithiasis | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM007032 | PGS001371 (GBE_INI2976) |
PSS006888| European Ancestry| 1,059 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.37828 [0.36879, 0.38778] Incremental R2 (full-covars): 0.02371 PGS R2 (no covariates): 0.04728 [0.04214, 0.05243] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007033 | PGS001371 (GBE_INI2976) |
PSS006889| South Asian Ancestry| 1,335 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.20384 [0.18792, 0.21975] Incremental R2 (full-covars): -0.00895 PGS R2 (no covariates): 0.00042 [-0.00049, 0.00133] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007034 | PGS001371 (GBE_INI2976) |
PSS006890| European Ancestry| 3,195 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.28031 [0.27455, 0.28606] Incremental R2 (full-covars): 0.02294 PGS R2 (no covariates): 0.03923 [0.03636, 0.0421] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007448 | PGS000924 (GBE_HC702) |
PSS004600| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism | — | AUROC: 0.87825 [0.76546, 0.99105] | R²: 0.13644 Incremental AUROC (full-covars): -0.00608 PGS R2 (no covariates): 0.01768 PGS AUROC (no covariates): 0.66722 [0.47474, 0.85969] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007449 | PGS000924 (GBE_HC702) |
PSS004602| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism | — | AUROC: 0.89799 [0.85782, 0.93815] | R²: 0.23107 Incremental AUROC (full-covars): 0.18304 PGS R2 (no covariates): 0.18886 PGS AUROC (no covariates): 0.85948 [0.81228, 0.90668] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007450 | PGS000924 (GBE_HC702) |
PSS004603| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism | — | AUROC: 0.85394 [0.77864, 0.92924] | R²: 0.15917 Incremental AUROC (full-covars): 0.14922 PGS R2 (no covariates): 0.11194 PGS AUROC (no covariates): 0.81401 [0.72659, 0.90144] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007451 | PGS000924 (GBE_HC702) |
PSS004604| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism | — | AUROC: 0.90591 [0.88325, 0.92858] | R²: 0.23709 Incremental AUROC (full-covars): 0.28213 PGS R2 (no covariates): 0.21843 PGS AUROC (no covariates): 0.88697 [0.86397, 0.90997] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007878 | PGS001023 (GBE_HC703) |
PSS004605| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of mineral metabolism | — | AUROC: 0.70572 [0.64003, 0.77141] | R²: 0.04772 Incremental AUROC (full-covars): -0.00243 PGS R2 (no covariates): 0.00257 PGS AUROC (no covariates): 0.49279 [0.49133, 0.49424] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007879 | PGS001023 (GBE_HC703) |
PSS004606| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of mineral metabolism | — | AUROC: 0.72332 [0.56417, 0.88247] | Incremental AUROC (full-covars): 0.0 R²: 0.06686 PGS R2 (no covariates): 0.00038 PGS AUROC (no covariates): 0.49882 [0.49767, 0.49998] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007880 | PGS001023 (GBE_HC703) |
PSS004607| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of mineral metabolism | — | AUROC: 0.70459 [0.66766, 0.74152] | R²: 0.07164 Incremental AUROC (full-covars): 0.05404 PGS R2 (no covariates): 0.07064 PGS AUROC (no covariates): 0.63902 [0.6046, 0.67344] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007881 | PGS001023 (GBE_HC703) |
PSS004608| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of mineral metabolism | — | AUROC: 0.60481 [0.54255, 0.66706] | R²: 0.01967 Incremental AUROC (full-covars): -0.00045 PGS R2 (no covariates): 0.00194 PGS AUROC (no covariates): 0.50905 [0.4878, 0.5303] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007882 | PGS001023 (GBE_HC703) |
PSS004609| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of mineral metabolism | — | AUROC: 0.65351 [0.63175, 0.67527] | R²: 0.03407 Incremental AUROC (full-covars): 0.05096 PGS R2 (no covariates): 0.02793 PGS AUROC (no covariates): 0.57843 [0.55918, 0.59767] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008749 | PGS001248 (GBE_HC328) |
PSS004452| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.8285 [0.79138, 0.86562] | R²: 0.15624 Incremental AUROC (full-covars): 0.01741 PGS R2 (no covariates): 0.02051 PGS AUROC (no covariates): 0.62118 [0.56505, 0.67731] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008750 | PGS001248 (GBE_HC328) |
PSS004453| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.84973 [0.79458, 0.90489] | R²: 0.22864 Incremental AUROC (full-covars): 0.02603 PGS R2 (no covariates): 0.04315 PGS AUROC (no covariates): 0.65938 [0.56975, 0.74901] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008751 | PGS001248 (GBE_HC328) |
PSS004454| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.83619 [0.82126, 0.85113] | R²: 0.17414 Incremental AUROC (full-covars): 0.02904 PGS R2 (no covariates): 0.03561 PGS AUROC (no covariates): 0.66092 [0.63744, 0.6844] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008752 | PGS001248 (GBE_HC328) |
PSS004455| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.77913 [0.74649, 0.81177] | R²: 0.11671 Incremental AUROC (full-covars): 0.03258 PGS R2 (no covariates): 0.0283 PGS AUROC (no covariates): 0.63533 [0.59256, 0.6781] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008753 | PGS001248 (GBE_HC328) |
PSS004456| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gout | — | AUROC: 0.81572 [0.80628, 0.82516] | Incremental AUROC (full-covars): 0.04061 PGS R2 (no covariates): 0.04014 R²: 0.15436 PGS AUROC (no covariates): 0.66908 [0.65556, 0.6826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008754 | PGS001249 (GBE_HC1215) |
PSS004203| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.77537 [0.73576, 0.81498] | R²: 0.12063 Incremental AUROC (full-covars): 0.01433 PGS R2 (no covariates): 0.01201 PGS AUROC (no covariates): 0.58952 [0.54447, 0.63458] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008755 | PGS001249 (GBE_HC1215) |
PSS004204| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.8503 [0.79897, 0.90164] | R²: 0.23863 Incremental AUROC (full-covars): 0.01971 PGS R2 (no covariates): 0.02733 PGS AUROC (no covariates): 0.62617 [0.54055, 0.7118] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008756 | PGS001249 (GBE_HC1215) |
PSS004205| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.81772 [0.80388, 0.83156] | R²: 0.17135 Incremental AUROC (full-covars): 0.02929 PGS R2 (no covariates): 0.03724 PGS AUROC (no covariates): 0.65807 [0.63913, 0.67702] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008757 | PGS001249 (GBE_HC1215) |
PSS004206| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.76492 [0.73884, 0.79099] | PGS AUROC (no covariates): 0.61344 [0.57941, 0.64746] R²: 0.11928 Incremental AUROC (full-covars): 0.02377 PGS R2 (no covariates): 0.02209 |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008758 | PGS001249 (GBE_HC1215) |
PSS004207| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.79258 [0.7842, 0.80095] | R²: 0.14867 Incremental AUROC (full-covars): 0.03784 PGS R2 (no covariates): 0.03919 PGS AUROC (no covariates): 0.65389 [0.64293, 0.66484] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008968 | PGS001294 (GBE_HC649) |
PSS004575| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.70052 [0.68094, 0.7201] | R²: 0.10493 Incremental AUROC (full-covars): 0.00213 PGS R2 (no covariates): 0.00615 PGS AUROC (no covariates): 0.54526 [0.52378, 0.56673] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008969 | PGS001294 (GBE_HC649) |
PSS004576| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.75536 [0.71488, 0.79584] | R²: 0.1242 Incremental AUROC (full-covars): 0.01544 PGS R2 (no covariates): 0.01604 PGS AUROC (no covariates): 0.5808 [0.52621, 0.63538] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008970 | PGS001294 (GBE_HC649) |
PSS004577| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.72888 [0.71557, 0.7422] | R²: 0.10344 Incremental AUROC (full-covars): 0.03534 PGS R2 (no covariates): 0.03413 PGS AUROC (no covariates): 0.63582 [0.62119, 0.65045] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008971 | PGS001294 (GBE_HC649) |
PSS004578| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.68707 [0.67293, 0.70121] | R²: 0.11343 Incremental AUROC (full-covars): 0.01724 PGS R2 (no covariates): 0.02384 PGS AUROC (no covariates): 0.58532 [0.56986, 0.60078] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008972 | PGS001294 (GBE_HC649) |
PSS004579| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.71038 [0.70256, 0.71821] | R²: 0.08854 Incremental AUROC (full-covars): 0.04133 PGS R2 (no covariates): 0.03493 PGS AUROC (no covariates): 0.63323 [0.62453, 0.64194] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008973 | PGS001295 (GBE_HC165) |
PSS004312| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68145 [0.62426, 0.73864] | R²: 0.04466 Incremental AUROC (full-covars): 0.00427 PGS R2 (no covariates): 0.00162 PGS AUROC (no covariates): 0.5359 [0.47698, 0.59482] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008974 | PGS001295 (GBE_HC165) |
PSS004313| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.83509 [0.71831, 0.95186] | R²: 0.20575 Incremental AUROC (full-covars): -0.00085 PGS R2 (no covariates): 0.00265 PGS AUROC (no covariates): 0.56328 [0.47919, 0.64736] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008975 | PGS001295 (GBE_HC165) |
PSS004314| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69318 [0.65625, 0.73011] | R²: 0.04603 Incremental AUROC (full-covars): 0.0115 PGS R2 (no covariates): 0.00675 PGS AUROC (no covariates): 0.58258 [0.54116, 0.62401] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008976 | PGS001295 (GBE_HC165) |
PSS004315| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.65806 [0.61856, 0.69756] | R²: 0.0392 Incremental AUROC (full-covars): 0.01243 PGS R2 (no covariates): 0.00618 PGS AUROC (no covariates): 0.5613 [0.5184, 0.60421] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008977 | PGS001295 (GBE_HC165) |
PSS004316| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68247 [0.66155, 0.70338] | R²: 0.03772 Incremental AUROC (full-covars): 0.01405 PGS R2 (no covariates): 0.00633 PGS AUROC (no covariates): 0.57592 [0.55208, 0.59975] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008978 | PGS001296 (GBE_HC648) |
PSS004570| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.66885 [0.62172, 0.71599] | R²: 0.04054 Incremental AUROC (full-covars): -0.01128 PGS R2 (no covariates): 0.00021 PGS AUROC (no covariates): 0.51906 [0.4689, 0.56923] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008979 | PGS001296 (GBE_HC648) |
PSS004571| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.89264 [0.80447, 0.98081] | R²: 0.19006 Incremental AUROC (full-covars): -0.01413 PGS R2 (no covariates): 0.00422 PGS AUROC (no covariates): 0.43531 [0.15162, 0.71901] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008980 | PGS001296 (GBE_HC648) |
PSS004572| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.70536 [0.66494, 0.74577] | R²: 0.0607 Incremental AUROC (full-covars): 0.12077 PGS R2 (no covariates): 0.05496 PGS AUROC (no covariates): 0.68941 [0.64672, 0.73209] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008981 | PGS001296 (GBE_HC648) |
PSS004573| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.67679 [0.6379, 0.71568] | R²: 0.04266 Incremental AUROC (full-covars): -0.01593 PGS R2 (no covariates): 0.0016 PGS AUROC (no covariates): 0.54249 [0.49552, 0.58946] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008982 | PGS001296 (GBE_HC648) |
PSS004574| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.65986 [0.63673, 0.68299] | R²: 0.03385 Incremental AUROC (full-covars): 0.06785 PGS R2 (no covariates): 0.02496 PGS AUROC (no covariates): 0.62694 [0.60131, 0.65256] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008983 | PGS001297 (GBE_HC337) |
PSS004457| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.78146 [0.64554, 0.91738] | R²: 0.08635 Incremental AUROC (full-covars): -0.05504 PGS R2 (no covariates): 0.00185 PGS AUROC (no covariates): 0.41884 [0.19064, 0.64704] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008984 | PGS001297 (GBE_HC337) |
PSS004458| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.79737 [0.708, 0.88674] | R²: 0.11683 Incremental AUROC (full-covars): 0.09636 PGS R2 (no covariates): 0.0912 PGS AUROC (no covariates): 0.77118 [0.67108, 0.87128] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008985 | PGS001297 (GBE_HC337) |
PSS004459| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.81031 [0.66359, 0.95703] | R²: 0.06825 Incremental AUROC (full-covars): -0.01908 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.53853 [0.37761, 0.69945] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008986 | PGS001297 (GBE_HC337) |
PSS004460| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7643 [0.7041, 0.8245] | R²: 0.06625 Incremental AUROC (full-covars): 0.19149 PGS R2 (no covariates): 0.06103 PGS AUROC (no covariates): 0.76543 [0.70744, 0.82342] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008987 | PGS001298 (GBE_HC689) |
PSS004590| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE obesity | — | AUROC: 0.631 [0.60757, 0.65443] | R²: 0.03591 Incremental AUROC (full-covars): -0.00374 PGS R2 (no covariates): 0.00346 PGS AUROC (no covariates): 0.54117 [0.51549, 0.56685] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008988 | PGS001298 (GBE_HC689) |
PSS004591| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE obesity | — | AUROC: 0.65328 [0.53612, 0.77044] | R²: 0.04232 Incremental AUROC (full-covars): -0.00574 PGS R2 (no covariates): 0.00287 PGS AUROC (no covariates): 0.54699 [0.43971, 0.65426] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008989 | PGS001298 (GBE_HC689) |
PSS004592| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE obesity | — | AUROC: 0.59854 [0.58297, 0.61411] | R²: 0.01902 Incremental AUROC (full-covars): 0.02082 PGS R2 (no covariates): 0.00911 PGS AUROC (no covariates): 0.56858 [0.5529, 0.58426] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008990 | PGS001298 (GBE_HC689) |
PSS004593| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE obesity | — | AUROC: 0.61415 [0.59079, 0.6375] | R²: 0.02737 Incremental AUROC (full-covars): 0.00377 PGS R2 (no covariates): 0.00603 PGS AUROC (no covariates): 0.55658 [0.53218, 0.58097] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008991 | PGS001298 (GBE_HC689) |
PSS004594| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE obesity | — | AUROC: 0.59555 [0.58697, 0.60413] | R²: 0.01814 Incremental AUROC (full-covars): 0.03355 PGS R2 (no covariates): 0.01146 PGS AUROC (no covariates): 0.57573 [0.56713, 0.58434] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009020 | PGS001305 (GBE_HC608) |
PSS004536| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.66063 [0.54547, 0.77579] | R²: 0.02699 Incremental AUROC (full-covars): 0.01762 PGS R2 (no covariates): 0.00536 PGS AUROC (no covariates): 0.5839 [0.43974, 0.72805] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009021 | PGS001305 (GBE_HC608) |
PSS004538| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.65118 [0.60827, 0.69409] | R²: 0.02729 Incremental AUROC (full-covars): 0.02555 PGS R2 (no covariates): 0.00865 PGS AUROC (no covariates): 0.59612 [0.5552, 0.63704] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009022 | PGS001305 (GBE_HC608) |
PSS004539| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.72387 [0.6834, 0.76434] | R²: 0.06747 Incremental AUROC (full-covars): 0.01252 PGS R2 (no covariates): 0.00966 PGS AUROC (no covariates): 0.57469 [0.52685, 0.62252] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009023 | PGS001305 (GBE_HC608) |
PSS004540| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vitamin b12 deficiency anaemia | — | AUROC: 0.64482 [0.61972, 0.66993] | R²: 0.02374 Incremental AUROC (full-covars): 0.02212 PGS R2 (no covariates): 0.0068 PGS AUROC (no covariates): 0.57972 [0.55331, 0.60612] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009083 | PGS001318 (GBE_HC700) |
PSS004595| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias | — | AUROC: 0.72671 [0.71075, 0.74267] | R²: 0.1504 Incremental AUROC (full-covars): 0.008 PGS R2 (no covariates): 0.01331 PGS AUROC (no covariates): 0.5658 [0.54786, 0.58375] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009084 | PGS001318 (GBE_HC700) |
PSS004596| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias | — | AUROC: 0.72108 [0.68694, 0.75523] | R²: 0.12667 Incremental AUROC (full-covars): 0.00638 PGS R2 (no covariates): 0.01352 PGS AUROC (no covariates): 0.56443 [0.52596, 0.6029] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009085 | PGS001318 (GBE_HC700) |
PSS004597| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias | — | AUROC: 0.74382 [0.73637, 0.75127] | R²: 0.17729 Incremental AUROC (full-covars): 0.02969 PGS R2 (no covariates): 0.04099 PGS AUROC (no covariates): 0.61613 [0.60728, 0.62497] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009086 | PGS001318 (GBE_HC700) |
PSS004598| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias | — | AUROC: 0.7175 [0.70581, 0.7292] | R²: 0.17483 Incremental AUROC (full-covars): 0.01739 PGS R2 (no covariates): 0.02931 PGS AUROC (no covariates): 0.5892 [0.57589, 0.60251] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009132 | PGS001329 (GBE_HC652) |
PSS004580| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.69503 [0.67407, 0.716] | R²: 0.08972 Incremental AUROC (full-covars): 0.00332 PGS R2 (no covariates): 0.00713 PGS AUROC (no covariates): 0.55713 [0.53377, 0.58048] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009087 | PGS001318 (GBE_HC700) |
PSS004599| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias | — | AUROC: 0.73453 [0.73009, 0.73896] | R²: 0.17195 Incremental AUROC (full-covars): 0.03242 PGS R2 (no covariates): 0.04352 PGS AUROC (no covariates): 0.61734 [0.61215, 0.62253] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009088 | PGS001319 (GBE_HC708) |
PSS004610| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other metabolic disorders | — | AUROC: 0.77406 [0.68678, 0.86135] | R²: 0.06649 Incremental AUROC (full-covars): -0.00199 PGS R2 (no covariates): 0.00603 PGS AUROC (no covariates): 0.44259 [0.3516, 0.53358] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009089 | PGS001319 (GBE_HC708) |
PSS004611| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other metabolic disorders | — | AUROC: 0.70958 [0.62744, 0.79171] | R²: 0.04504 Incremental AUROC (full-covars): 0.02495 PGS R2 (no covariates): 0.01479 PGS AUROC (no covariates): 0.54987 [0.46099, 0.63876] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009090 | PGS001319 (GBE_HC708) |
PSS004612| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other metabolic disorders | — | AUROC: 0.64684 [0.54842, 0.74526] | R²: 0.02913 Incremental AUROC (full-covars): -0.00029 PGS R2 (no covariates): 0.00067 PGS AUROC (no covariates): 0.52382 [0.42834, 0.61931] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009091 | PGS001319 (GBE_HC708) |
PSS004613| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other metabolic disorders | — | AUROC: 0.60186 [0.54294, 0.66079] | R²: 0.02952 Incremental AUROC (full-covars): 0.09428 PGS R2 (no covariates): 0.05151 PGS AUROC (no covariates): 0.62356 [0.56795, 0.67918] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009122 | PGS001327 (GBE_HC221) |
PSS004359| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.68586 [0.66802, 0.7037] | R²: 0.09776 Incremental AUROC (full-covars): 0.00638 PGS R2 (no covariates): 0.00926 PGS AUROC (no covariates): 0.55541 [0.53643, 0.5744] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009123 | PGS001327 (GBE_HC221) |
PSS004360| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.69569 [0.64958, 0.7418] | R²: 0.08294 Incremental AUROC (full-covars): 0.01187 PGS R2 (no covariates): 0.01141 PGS AUROC (no covariates): 0.56178 [0.51127, 0.61228] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009124 | PGS001327 (GBE_HC221) |
PSS004361| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.70541 [0.69227, 0.71854] | R²: 0.08595 Incremental AUROC (full-covars): 0.04263 PGS R2 (no covariates): 0.03446 PGS AUROC (no covariates): 0.63125 [0.61738, 0.64511] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009125 | PGS001327 (GBE_HC221) |
PSS004362| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.68746 [0.67395, 0.70097] | R²: 0.11895 Incremental AUROC (full-covars): 0.02618 PGS R2 (no covariates): 0.03527 PGS AUROC (no covariates): 0.60108 [0.5865, 0.61565] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009126 | PGS001327 (GBE_HC221) |
PSS004363| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.69818 [0.69047, 0.70589] | R²: 0.08111 Incremental AUROC (full-covars): 0.04455 PGS R2 (no covariates): 0.03558 PGS AUROC (no covariates): 0.63112 [0.6228, 0.63945] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009133 | PGS001329 (GBE_HC652) |
PSS004581| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.70891 [0.65305, 0.76477] | R²: 0.09058 Incremental AUROC (full-covars): 0.02211 PGS R2 (no covariates): 0.02321 PGS AUROC (no covariates): 0.60847 [0.55016, 0.66678] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009134 | PGS001329 (GBE_HC652) |
PSS004582| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.72437 [0.70887, 0.73987] | R²: 0.08424 Incremental AUROC (full-covars): 0.03715 PGS R2 (no covariates): 0.02619 PGS AUROC (no covariates): 0.62743 [0.60999, 0.64487] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009135 | PGS001329 (GBE_HC652) |
PSS004583| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.70359 [0.68854, 0.71865] | R²: 0.11885 Incremental AUROC (full-covars): 0.02262 PGS R2 (no covariates): 0.02671 PGS AUROC (no covariates): 0.59807 [0.58121, 0.61493] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009136 | PGS001329 (GBE_HC652) |
PSS004584| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.7046 [0.69521, 0.71399] | R²: 0.0749 Incremental AUROC (full-covars): 0.04078 PGS R2 (no covariates): 0.03024 PGS AUROC (no covariates): 0.63102 [0.62084, 0.64119] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009436 | PGS001817 (portability-PLR_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0752 [0.061, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009437 | PGS001817 (portability-PLR_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0684 [0.0372, 0.0994] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009438 | PGS001817 (portability-PLR_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0739 [0.0493, 0.0985] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009439 | PGS001817 (portability-PLR_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0349 [-0.0246, 0.0941] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009440 | PGS001817 (portability-PLR_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0224 [-0.0047, 0.0496] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009441 | PGS001817 (portability-PLR_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0001 [-0.0475, 0.0474] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009442 | PGS001817 (portability-PLR_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0006 [-0.0426, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009443 | PGS001817 (portability-PLR_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0187 [-0.052, 0.0146] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009444 | PGS001818 (portability-PLR_250.2) |
PSS009288| European Ancestry| 19,931 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1246 [0.1109, 0.1382] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009445 | PGS001818 (portability-PLR_250.2) |
PSS009062| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0862 [0.0557, 0.1165] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009447 | PGS001818 (portability-PLR_250.2) |
PSS008392| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1735 [0.1176, 0.2284] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009448 | PGS001818 (portability-PLR_250.2) |
PSS008170| South Asian Ancestry| 6,312 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1556 [0.1314, 0.1796] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009449 | PGS001818 (portability-PLR_250.2) |
PSS007957| East Asian Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0665 [0.0202, 0.1125] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009450 | PGS001818 (portability-PLR_250.2) |
PSS007738| African Ancestry| 2,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0956 [0.0562, 0.1346] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009451 | PGS001818 (portability-PLR_250.2) |
PSS008841| African Ancestry| 3,896 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0522 [0.0208, 0.0836] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009452 | PGS001819 (portability-PLR_250.7) |
PSS009289| European Ancestry| 19,330 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0366 [0.0226, 0.0507] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009453 | PGS001819 (portability-PLR_250.7) |
PSS009063| European Ancestry| 4,032 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0638 [0.033, 0.0946] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009454 | PGS001819 (portability-PLR_250.7) |
PSS008617| European Ancestry| 6,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0315 [0.0071, 0.0559] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009455 | PGS001819 (portability-PLR_250.7) |
PSS008393| Greater Middle Eastern Ancestry| 1,162 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0471 [-0.1048, 0.011] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009456 | PGS001819 (portability-PLR_250.7) |
PSS008171| South Asian Ancestry| 6,081 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0325 [0.0074, 0.0577] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009457 | PGS001819 (portability-PLR_250.7) |
PSS007958| East Asian Ancestry| 1,764 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0249 [-0.0718, 0.022] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009476 | PGS001822 (portability-PLR_274.1) |
PSS009292| European Ancestry| 19,983 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0364 [0.0226, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009477 | PGS001822 (portability-PLR_274.1) |
PSS009066| European Ancestry| 4,135 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.043 [0.0125, 0.0735] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009478 | PGS001822 (portability-PLR_274.1) |
PSS008620| European Ancestry| 6,655 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0538 [0.0297, 0.0777] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009479 | PGS001822 (portability-PLR_274.1) |
PSS008396| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0122 [-0.0449, 0.0692] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009480 | PGS001822 (portability-PLR_274.1) |
PSS008174| South Asian Ancestry| 6,325 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0166 [-0.008, 0.0413] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009481 | PGS001822 (portability-PLR_274.1) |
PSS007961| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0287 [-0.0176, 0.075] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009482 | PGS001822 (portability-PLR_274.1) |
PSS007742| African Ancestry| 2,480 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0314 [-0.0082, 0.0708] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009483 | PGS001822 (portability-PLR_274.1) |
PSS008845| African Ancestry| 3,918 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0294 [-0.002, 0.0607] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009484 | PGS001823 (portability-PLR_275.1) |
PSS009293| European Ancestry| 19,883 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.1307 [0.117, 0.1444] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009485 | PGS001823 (portability-PLR_275.1) |
PSS009067| European Ancestry| 4,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.109 [0.0786, 0.1392] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009486 | PGS001823 (portability-PLR_275.1) |
PSS008621| European Ancestry| 6,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.0178 [-0.0063, 0.0419] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009487 | PGS001823 (portability-PLR_275.1) |
PSS008175| South Asian Ancestry| 6,298 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.0003 [-0.0244, 0.025] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009489 | PGS001823 (portability-PLR_275.1) |
PSS008846| African Ancestry| 3,903 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.0193 [-0.0121, 0.0507] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009490 | PGS001824 (portability-PLR_277.4) |
PSS009294| European Ancestry| 19,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0716 [0.0577, 0.0854] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009491 | PGS001824 (portability-PLR_277.4) |
PSS009068| European Ancestry| 4,126 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0565 [0.026, 0.087] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009492 | PGS001824 (portability-PLR_277.4) |
PSS008622| European Ancestry| 6,636 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0696 [0.0455, 0.0935] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009493 | PGS001824 (portability-PLR_277.4) |
PSS008397| Greater Middle Eastern Ancestry| 1,196 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): -0.0314 [-0.0885, 0.0258] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009494 | PGS001824 (portability-PLR_277.4) |
PSS008176| South Asian Ancestry| 6,292 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0243 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009495 | PGS001824 (portability-PLR_277.4) |
PSS007743| African Ancestry| 2,472 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.002 [-0.0376, 0.0416] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009496 | PGS001824 (portability-PLR_277.4) |
PSS008847| African Ancestry| 3,901 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0014 [-0.0301, 0.0328] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009497 | PGS001825 (portability-PLR_278) |
PSS009295| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0547 [0.0409, 0.0686] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009499 | PGS001825 (portability-PLR_278) |
PSS008623| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0516 [0.0276, 0.0756] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009500 | PGS001825 (portability-PLR_278) |
PSS008398| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0493 [-0.0078, 0.106] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009501 | PGS001825 (portability-PLR_278) |
PSS008177| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0334 [0.0087, 0.058] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009502 | PGS001825 (portability-PLR_278) |
PSS007963| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): -0.0049 [-0.0513, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009503 | PGS001825 (portability-PLR_278) |
PSS007744| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0323 [-0.0072, 0.0717] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009504 | PGS001825 (portability-PLR_278) |
PSS008848| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0208 [-0.0105, 0.0522] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011116 | PGS002030 (portability-ldpred2_274.1) |
PSS008620| European Ancestry| 6,655 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0476 [0.0236, 0.0716] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011074 | PGS002025 (portability-ldpred2_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0824 [0.0682, 0.0965] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011075 | PGS002025 (portability-ldpred2_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0666 [0.0354, 0.0976] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011076 | PGS002025 (portability-ldpred2_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0719 [0.0472, 0.0964] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011077 | PGS002025 (portability-ldpred2_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0529 [-0.0066, 0.112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011078 | PGS002025 (portability-ldpred2_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0228 [-0.0044, 0.0499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011079 | PGS002025 (portability-ldpred2_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0048 [-0.0522, 0.0427] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011080 | PGS002025 (portability-ldpred2_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0089 [-0.0331, 0.0509] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011081 | PGS002025 (portability-ldpred2_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.013 [-0.0463, 0.0203] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011082 | PGS002026 (portability-ldpred2_250.2) |
PSS009288| European Ancestry| 19,931 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1304 [0.1168, 0.1441] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011083 | PGS002026 (portability-ldpred2_250.2) |
PSS009062| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0862 [0.0558, 0.1165] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011084 | PGS002026 (portability-ldpred2_250.2) |
PSS008616| European Ancestry| 6,646 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1134 [0.0896, 0.1371] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011085 | PGS002026 (portability-ldpred2_250.2) |
PSS008392| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1764 [0.1205, 0.2312] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011087 | PGS002026 (portability-ldpred2_250.2) |
PSS007957| East Asian Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0786 [0.0324, 0.1246] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011088 | PGS002026 (portability-ldpred2_250.2) |
PSS007738| African Ancestry| 2,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1001 [0.0607, 0.1391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011089 | PGS002026 (portability-ldpred2_250.2) |
PSS008841| African Ancestry| 3,896 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0806 [0.0493, 0.1118] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011090 | PGS002027 (portability-ldpred2_250.7) |
PSS009289| European Ancestry| 19,330 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0451 [0.031, 0.0592] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011091 | PGS002027 (portability-ldpred2_250.7) |
PSS009063| European Ancestry| 4,032 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0607 [0.0298, 0.0915] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011092 | PGS002027 (portability-ldpred2_250.7) |
PSS008617| European Ancestry| 6,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0241 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011093 | PGS002027 (portability-ldpred2_250.7) |
PSS008393| Greater Middle Eastern Ancestry| 1,162 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0311 [-0.0889, 0.027] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011094 | PGS002027 (portability-ldpred2_250.7) |
PSS008171| South Asian Ancestry| 6,081 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0351 [0.01, 0.0603] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011095 | PGS002027 (portability-ldpred2_250.7) |
PSS007958| East Asian Ancestry| 1,764 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0302 [-0.077, 0.0168] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011096 | PGS002027 (portability-ldpred2_250.7) |
PSS007739| African Ancestry| 2,385 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0204 [-0.0606, 0.0199] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011114 | PGS002030 (portability-ldpred2_274.1) |
PSS009292| European Ancestry| 19,983 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0415 [0.0277, 0.0554] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011115 | PGS002030 (portability-ldpred2_274.1) |
PSS009066| European Ancestry| 4,135 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.047 [0.0165, 0.0775] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011117 | PGS002030 (portability-ldpred2_274.1) |
PSS008396| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): -0.0053 [-0.0623, 0.0518] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011118 | PGS002030 (portability-ldpred2_274.1) |
PSS008174| South Asian Ancestry| 6,325 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0231 [-0.0015, 0.0478] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011119 | PGS002030 (portability-ldpred2_274.1) |
PSS007961| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0262 [-0.0201, 0.0725] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011120 | PGS002030 (portability-ldpred2_274.1) |
PSS007742| African Ancestry| 2,480 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0336 [-0.006, 0.073] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011121 | PGS002030 (portability-ldpred2_274.1) |
PSS008845| African Ancestry| 3,918 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Gout | — | — | Partial Correlation (partial-r): 0.0254 [-0.006, 0.0568] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011122 | PGS002031 (portability-ldpred2_275.1) |
PSS009293| European Ancestry| 19,883 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.1355 [0.1219, 0.1492] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011123 | PGS002031 (portability-ldpred2_275.1) |
PSS009067| European Ancestry| 4,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.1073 [0.0769, 0.1375] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011124 | PGS002031 (portability-ldpred2_275.1) |
PSS008621| European Ancestry| 6,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.0173 [-0.0068, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011125 | PGS002031 (portability-ldpred2_275.1) |
PSS008175| South Asian Ancestry| 6,298 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): -0.0027 [-0.0274, 0.0221] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011127 | PGS002031 (portability-ldpred2_275.1) |
PSS008846| African Ancestry| 3,903 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): -0.0075 [-0.039, 0.0239] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011128 | PGS002032 (portability-ldpred2_277.4) |
PSS009294| European Ancestry| 19,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0716 [0.0578, 0.0854] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011129 | PGS002032 (portability-ldpred2_277.4) |
PSS009068| European Ancestry| 4,126 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0534 [0.0228, 0.0838] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011130 | PGS002032 (portability-ldpred2_277.4) |
PSS008622| European Ancestry| 6,636 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0714 [0.0474, 0.0953] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011131 | PGS002032 (portability-ldpred2_277.4) |
PSS008397| Greater Middle Eastern Ancestry| 1,196 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): -0.0333 [-0.0903, 0.0239] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011132 | PGS002032 (portability-ldpred2_277.4) |
PSS008176| South Asian Ancestry| 6,292 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0252 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011133 | PGS002032 (portability-ldpred2_277.4) |
PSS007743| African Ancestry| 2,472 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): 0.0011 [-0.0385, 0.0406] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011134 | PGS002032 (portability-ldpred2_277.4) |
PSS008847| African Ancestry| 3,901 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of bilirubin excretion | — | — | Partial Correlation (partial-r): -0.0017 [-0.0332, 0.0297] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011135 | PGS002033 (portability-ldpred2_278) |
PSS009295| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0789 [0.0651, 0.0927] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011137 | PGS002033 (portability-ldpred2_278) |
PSS008623| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0824 [0.0585, 0.1062] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011138 | PGS002033 (portability-ldpred2_278) |
PSS008398| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0801 [0.0232, 0.1366] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011139 | PGS002033 (portability-ldpred2_278) |
PSS008177| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0502 [0.0255, 0.0747] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011140 | PGS002033 (portability-ldpred2_278) |
PSS007963| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0109 [-0.0354, 0.0572] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011141 | PGS002033 (portability-ldpred2_278) |
PSS007744| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0265 [-0.013, 0.0659] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011142 | PGS002033 (portability-ldpred2_278) |
PSS008848| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0516 [0.0203, 0.0829] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011640 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS009381| European Ancestry| 6,451 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.0629 [0.0385, 0.0872] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011641 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS009155| European Ancestry| 1,243 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.1194 [0.0638, 0.1743] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011642 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008709| European Ancestry| 2,260 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.0823 [0.0411, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011644 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008261| South Asian Ancestry| 814 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.0558 [-0.0138, 0.1249] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011645 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008039| East Asian Ancestry| 427 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.0486 [-0.0488, 0.1451] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011646 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS007825| African Ancestry| 372 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): -0.0014 [-0.1059, 0.1032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011647 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008929| African Ancestry| 511 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): -0.014 [-0.1023, 0.0746] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009459 | PGS001819 (portability-PLR_250.7) |
PSS008842| African Ancestry| 3,732 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0089 [-0.0233, 0.041] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009446 | PGS001818 (portability-PLR_250.2) |
PSS008616| European Ancestry| 6,646 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.108 [0.0842, 0.1317] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009458 | PGS001819 (portability-PLR_250.7) |
PSS007739| African Ancestry| 2,385 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0193 [-0.0596, 0.021] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009488 | PGS001823 (portability-PLR_275.1) |
PSS007962| East Asian Ancestry| 1,809 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): 0.0117 [-0.0346, 0.058] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009498 | PGS001825 (portability-PLR_278) |
PSS009069| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0453 [0.0148, 0.0758] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM014802 | PGS000036 (gePS_T2D) |
PSS009895| European Ancestry| 1,168 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.661 [0.606, 0.716] | — | — | — |
| PPM011086 | PGS002026 (portability-ldpred2_250.2) |
PSS008170| South Asian Ancestry| 6,312 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.158 [0.1338, 0.182] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011097 | PGS002027 (portability-ldpred2_250.7) |
PSS008842| African Ancestry| 3,732 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0062 [-0.0259, 0.0384] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011126 | PGS002031 (portability-ldpred2_275.1) |
PSS007962| East Asian Ancestry| 1,809 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Disorders of iron metabolism | — | — | Partial Correlation (partial-r): -0.008 [-0.0543, 0.0384] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011136 | PGS002033 (portability-ldpred2_278) |
PSS009069| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0523 [0.0218, 0.0827] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011643 | PGS002098 (portability-ldpred2_abnormal_appetite) |
PSS008483| Greater Middle Eastern Ancestry| 201 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Recent poor appetite or overeating | — | — | Partial Correlation (partial-r): 0.1181 [-0.0282, 0.2595] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012733 | PGS002243 (ldpred_t2d) |
PSS009522| European Ancestry| 258,402 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.58 [1.56, 1.6] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012737 | PGS002243 (ldpred_t2d) |
PSS009518| European Ancestry| 110,597 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.55 [1.51, 1.59] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012741 | PGS002243 (ldpred_t2d) |
PSS009514| East Asian Ancestry| 178,726 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.37 [1.36, 1.39] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012745 | PGS002243 (ldpred_t2d) |
PSS009526| European Ancestry| 69,422 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.64 [1.6, 1.69] | — | — | birth year, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012749 | PGS002243 (ldpred_t2d) |
PSS009534| European Ancestry| 25,696 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.41, 1.51] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012753 | PGS002243 (ldpred_t2d) |
PSS009530| African Ancestry| 1,535 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.24 [1.09, 1.42] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012757 | PGS002243 (ldpred_t2d) |
PSS009542| European Ancestry| 343,676 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.78 [1.75, 1.81] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012762 | PGS002243 (ldpred_t2d) |
PSS009538| African Ancestry| 7,618 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.32, 1.62] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012767 | PGS002243 (ldpred_t2d) |
PSS009546| South Asian Ancestry| 7,628 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.66 [1.55, 1.79] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM009287 | PGS001781 (T2D_PRSCS) |
PSS007692| European Ancestry| 343,672 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Prevalent type 2 diabetes | OR: 1.75 [1.72, 1.78] | AUROC: 0.725 [0.721, 0.729] | — | year of birth, sex | — |
| PPM012834 | PGS002256 (GRS4_GDM) |
PSS009573| East Asian Ancestry| 985 individuals |
PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022) |
Reported Trait: Gestational diabetes mellitus in early pregnancy | — | AUROC: 0.62 [0.573, 0.667] | — | — | — |
| PPM009283 | PGS001781 (T2D_PRSCS) |
PSS007691| European Ancestry| 328,115 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.51 [1.48, 1.54] | AUROC: 0.669 [0.664, 0.675] | — | year of birth, sex | — |
| PPM009285 | PGS001781 (T2D_PRSCS) |
PSS007686| European Ancestry| 309,154 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Prevalent type 2 diabetes | OR: 1.59 [1.57, 1.61] | AUROC: 0.81 [0.808, 0.813] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009279 | PGS001781 (T2D_PRSCS) |
PSS007690| European Ancestry| 343,672 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Type 2 diabetes (incident and prevalent) | OR: 1.68 [1.65, 1.7] | AUROC: 0.708 [0.705, 0.711] | — | year of birth, sex | — |
| PPM014801 | PGS000024 (GRS2) |
PSS009895| European Ancestry| 1,168 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.864 [0.823, 0.905] | — | — | — |
| PPM012947 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis | — | — | Z: 5.2 | — | Z-score p-value < 0.0001 |
| PPM012949 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (overweight BMI) | β: 32.68 (20.7) | — | R²: 0.0097 | — | — |
| PPM012950 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (obese BMI) | β: 18.9 (10.76) | — | R²: 0.0036 | — | — |
| PPM013067 | PGS002308 (PRScsx_T2D) |
PSS009671| African Ancestry| 6,745 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.7 [1.58, 1.84] | AUROC: 0.631 | R²: 0.046 | age, sex, top 10 PCs | — |
| PPM014803 | PGS000024 (GRS2) |
PSS009893| African Ancestry| 366 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.851 [0.805, 0.897] | — | — | — |
| PPM014804 | PGS000036 (gePS_T2D) |
PSS009893| African Ancestry| 366 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.574 [0.506, 0.643] | — | — | — |
| PPM014805 | PGS000024 (GRS2) |
PSS009894| Hispanic or Latin American Ancestry| 412 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.935 [0.906, 0.964] | — | — | — |
| PPM014806 | PGS000036 (gePS_T2D) |
PSS009894| Hispanic or Latin American Ancestry| 412 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.722 [0.667, 0.778] | — | — | — |
| PPM014807 | PGS000024 (GRS2) |
PSS009896| Ancestry Not Reported| 99 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.79 [0.679, 0.902] | — | — | — |
| PPM014808 | PGS000036 (gePS_T2D) |
PSS009896| Ancestry Not Reported| 99 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.677 [0.532, 0.822] | — | — | — |
| PPM013064 | PGS002308 (PRScsx_T2D) |
PSS009677| European Ancestry| 54,793 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.96 [1.91, 2.02] | AUROC: 0.793 | R²: 0.092 | age, sex, top 10 PCs, study site | — |
| PPM013065 | PGS002308 (PRScsx_T2D) |
PSS009676| African Ancestry| 12,472 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.54 [1.46, 1.64] | AUROC: 0.848 | R²: 0.028 | age, sex, top 10 PCs, study site | — |
| PPM013066 | PGS002308 (PRScsx_T2D) |
PSS009678| Hispanic or Latin American Ancestry| 2,374 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.08 [1.84, 2.35] | AUROC: 0.851 | R²: 0.08 | age, sex, top 10 PCs, study site | — |
| PPM013068 | PGS002308 (PRScsx_T2D) |
PSS009669| African Ancestry| 5,498 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.85 [1.7, 2.01] | AUROC: 0.633 | R²: 0.036 | age, sex, top 10 PCs | — |
| PPM013069 | PGS002308 (PRScsx_T2D) |
PSS009670| African Ancestry| 1,896 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.75 [1.52, 2.02] | AUROC: 0.757 | R²: 0.062 | age, sex, top 10 PCs | — |
| PPM013070 | PGS002308 (PRScsx_T2D) |
PSS009675| African Ancestry| 655 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.37 [1.13, 1.65] | AUROC: 0.631 | R²: 0.015 | age, sex, top 10 PCs | — |
| PPM013071 | PGS002308 (PRScsx_T2D) |
PSS009672| East Asian Ancestry| 25,110 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.19 [2.05, 2.33] | AUROC: 0.81 | R²: 0.151 | age, sex, top 10 PCs | — |