| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004541 |
| Description | A quantification of glycated A1c hemoglobin in blood used as an index for blood glucose level over several months. | Trait category |
Hematological measurement
|
| Synonyms |
10 synonyms
|
| Mapped term | NCIt:C64849 |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000127 (GS-E-EUR) |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
HbA1c | HbA1c measurement | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000127/ScoringFiles/PGS000127.txt.gz |
| PGS000128 (GS-E-AFR) |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
HbA1c | HbA1c measurement | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000128/ScoringFiles/PGS000128.txt.gz |
| PGS000129 (GS-E-EAS) |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
HbA1c | HbA1c measurement | 17 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000129/ScoringFiles/PGS000129.txt.gz |
| PGS000130 (GS-G-EUR) |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
HbA1c | HbA1c measurement | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000130/ScoringFiles/PGS000130.txt.gz |
| PGS000131 (GS-G-AFR) |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
HbA1c | HbA1c measurement | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000131/ScoringFiles/PGS000131.txt.gz |
| PGS000132 (GS-G-EAS) |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
HbA1c | HbA1c measurement | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000132/ScoringFiles/PGS000132.txt.gz |
| PGS000304 (GRS43_HbA1c) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
HbA1c | HbA1c measurement | 43 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000304/ScoringFiles/PGS000304.txt.gz |
| PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
HbA1c [mmol/mol] | HbA1c measurement | 14,658 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000685/ScoringFiles/PGS000685.txt.gz |
| PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PGP000246 | Chen J et al. Nat Genet (2021) |
Glycated haemoglobin levels (HbA1c) | HbA1c measurement | 1,018,836 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001352/ScoringFiles/PGS001352.txt.gz | |
| PGS001953 (portability-PLR_log_HbA1c) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Glycated haemoglobin (HbA1c) | HbA1c measurement | 46,566 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001953/ScoringFiles/PGS001953.txt.gz |
| PGS002171 (portability-ldpred2_log_HbA1c) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Glycated haemoglobin (HbA1c) | HbA1c measurement | 736,730 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002171/ScoringFiles/PGS002171.txt.gz |
| PGS002331 (biochemistry_HbA1c.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002331/ScoringFiles/PGS002331.txt.gz |
| PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 920,924 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002367/ScoringFiles/PGS002367.txt.gz |
| PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 11,872 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002403/ScoringFiles/PGS002403.txt.gz |
| PGS002452 (biochemistry_HbA1c.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 30,603 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002452/ScoringFiles/PGS002452.txt.gz |
| PGS002501 (biochemistry_HbA1c.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 128,425 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002501/ScoringFiles/PGS002501.txt.gz |
| PGS002550 (biochemistry_HbA1c.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 4,546 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002550/ScoringFiles/PGS002550.txt.gz |
| PGS002599 (biochemistry_HbA1c.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 3,055 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002599/ScoringFiles/PGS002599.txt.gz |
| PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 394,312 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002648/ScoringFiles/PGS002648.txt.gz |
| PGS002697 (biochemistry_HbA1c.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 989,344 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002697/ScoringFiles/PGS002697.txt.gz |
| PGS003337 (CVGRS_HbA1c) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
HbA1c | HbA1c measurement | 68 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003337/ScoringFiles/PGS003337.txt.gz |
| PGS003346 (ALLGRS_HbA1c) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
HbA1c | HbA1c measurement | 74 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003346/ScoringFiles/PGS003346.txt.gz |
| PGS003471 (LDPred2_HbA1c) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
HbA1c | HbA1c measurement | 848,979 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003471/ScoringFiles/PGS003471.txt.gz |
| PGS003533 (cont-decay-log_HbA1c) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Glycated haemoglobin (HbA1c) | HbA1c measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003533/ScoringFiles/PGS003533.txt.gz |
| PGS003987 (dbslmm.auto.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 1,009,642 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003987/ScoringFiles/PGS003987.txt.gz | |
| PGS004003 (lassosum.auto.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 4,697 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004003/ScoringFiles/PGS004003.txt.gz | |
| PGS004029 (ldpred2.auto.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 907,906 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004029/ScoringFiles/PGS004029.txt.gz | |
| PGS004044 (ldpred2.CV.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 907,906 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004044/ScoringFiles/PGS004044.txt.gz | |
| PGS004057 (megaprs.auto.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 514,367 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004057/ScoringFiles/PGS004057.txt.gz | |
| PGS004073 (megaprs.CV.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 514,367 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004073/ScoringFiles/PGS004073.txt.gz | |
| PGS004087 (prscs.auto.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 989,845 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004087/ScoringFiles/PGS004087.txt.gz | |
| PGS004111 (pt_clump.auto.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 51 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004111/ScoringFiles/PGS004111.txt.gz | |
| PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 246 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004127/ScoringFiles/PGS004127.txt.gz | |
| PGS004141 (sbayesr.auto.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 683,029 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004141/ScoringFiles/PGS004141.txt.gz | |
| PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HbA1c | HbA1c measurement | 1,009,664 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004157/ScoringFiles/PGS004157.txt.gz | |
| PGS004337 (X30750.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Glycated haemoglobin (mmol/mol) | HbA1c measurement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004337/ScoringFiles/PGS004337.txt.gz |
| PGS004701 (a1c_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HbA1c | HbA1c measurement | 1,107,927 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004701/ScoringFiles/PGS004701.txt.gz |
| PGS004702 (a1c_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HbA1c | HbA1c measurement | 6,652,699 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004702/ScoringFiles/PGS004702.txt.gz |
| PGS004703 (a1c_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HbA1c | HbA1c measurement | 3,872,159 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004703/ScoringFiles/PGS004703.txt.gz |
| PGS004704 (a1c_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HbA1c | HbA1c measurement | 6,652,699 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004704/ScoringFiles/PGS004704.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000407 | PGS000127 (GS-E-EUR) |
PSS000236| European Ancestry| 37,357 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.0 [0.99, 1.01] | — | — | age, sex | — |
| PPM000408 | PGS000128 (GS-E-AFR) |
PSS000234| African Ancestry| 1,906 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 0.98 [0.96, 1.0] | — | — | age, sex | — |
| PPM000409 | PGS000129 (GS-E-EAS) |
PSS000235| East Asian Ancestry| 5,073 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.02 [0.99, 1.05] | — | — | age, sex | — |
| PPM000410 | PGS000130 (GS-G-EUR) |
PSS000236| European Ancestry| 37,357 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.05 [1.04, 1.06] | — | — | age, sex | — |
| PPM000411 | PGS000131 (GS-G-AFR) |
PSS000234| African Ancestry| 1,906 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.0 [0.95, 1.05] | — | — | age, sex | — |
| PPM000412 | PGS000132 (GS-G-EAS) |
PSS000235| East Asian Ancestry| 5,073 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.05 [1.02, 1.07] | — | — | age, sex | — |
| PPM000774 | PGS000304 (GRS43_HbA1c) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: HbA1c (%) | — | — | R²: 0.0283 | Sex, age, age^2 | — |
| PPM000803 | PGS000304 (GRS43_HbA1c) |
PSS000371| European Ancestry| 288 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: HbA1c (%) | — | — | R²: 0.0277 | Sex, age, age^2 | — |
| PPM001413 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000704| African Ancestry| 4,847 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.07974 Spearman's ρ: 0.132 |
Age, sex, PCs(1-40) | — |
| PPM001448 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000705| East Asian Ancestry| 1,032 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.16979 Spearman's ρ: 0.285 |
Age, sex, PCs(1-40) | — |
| PPM001483 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000706| European Ancestry| 22,518 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.17335 Spearman's ρ: 0.367 |
Age, sex, PCs(1-40) | — |
| PPM001518 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000707| South Asian Ancestry| 6,895 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.12743 Spearman's ρ: 0.268 |
Age, sex, PCs(1-40) | — |
| PPM001553 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000708| European Ancestry| 60,920 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.16381 Spearman's ρ: 0.375 |
Age, sex, PCs(1-40) | — |
| PPM001585 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000817| European Ancestry| 1,995 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | Spearman's ρ: 0.217 | Age, sex | — |
| PPM007350 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007156| African Ancestry| 5,219 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.05396 [0.04328, 0.06464] Incremental R2 (full-covars): 0.00054 PGS R2 (no covariates): 0.00619 [0.00239, 0.00998] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007351 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007157| East Asian Ancestry| 1,622 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.1264 [0.09696, 0.15583] Incremental R2 (full-covars): 0.00207 PGS R2 (no covariates): 0.04145 [0.02295, 0.05994] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007352 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007158| European Ancestry| 23,762 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.06205 [0.05625, 0.06785] Incremental R2 (full-covars): 0.00348 PGS R2 (no covariates): 0.06567 [0.05972, 0.07162] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007353 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007159| South Asian Ancestry| 7,345 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.05344 [0.04375, 0.06313] Incremental R2 (full-covars): 0.00135 PGS R2 (no covariates): 0.03576 [0.02769, 0.04383] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007354 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007160| European Ancestry| 64,432 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.05264 [0.04936, 0.05592] Incremental R2 (full-covars): 0.00369 PGS R2 (no covariates): 0.06933 [0.06563, 0.07303] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005139 | PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PSS003594| European Ancestry| 61,820 individuals |
PGP000246 | Chen J et al. Nat Genet (2021) |
Reported Trait: Glycated haemoglobin levels (HbA1c) | — | — | R²: 0.178 | — | — |
| PPM005142 | PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PSS003591| African Ancestry| 6,647 individuals |
PGP000246 | Chen J et al. Nat Genet (2021) |
Reported Trait: Glycated haemoglobin levels (HbA1c) | — | — | R²: 0.012 | — | — |
| PPM005145 | PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PSS003593| East Asian Ancestry| 31,236 individuals |
PGP000246 | Chen J et al. Nat Genet (2021) |
Reported Trait: Glycated haemoglobin levels (HbA1c) | — | — | R²: 0.026 | — | — |
| PPM005146 | PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PSS003592| African Ancestry| 4,441 individuals |
PGP000246 | Chen J et al. Nat Genet (2021) |
Reported Trait: Glycated haemoglobin levels (HbA1c) | — | — | R²: 0.006 | — | — |
| PPM010500 | PGS001953 (portability-PLR_log_HbA1c) |
PSS009208| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3374 [0.3093, 0.3649] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010501 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008762| European Ancestry| 6,326 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3092 [0.2867, 0.3314] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010502 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008536| Greater Middle Eastern Ancestry| 1,128 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.329 [0.2755, 0.3806] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010503 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008314| South Asian Ancestry| 5,936 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.2406 [0.2164, 0.2644] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010504 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008091| East Asian Ancestry| 1,731 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.2506 [0.2057, 0.2945] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010505 | PGS001953 (portability-PLR_log_HbA1c) |
PSS007878| African Ancestry| 2,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.1217 [0.0792, 0.1639] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010506 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008982| African Ancestry| 2,976 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.087 [0.0511, 0.1226] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010499 | PGS001953 (portability-PLR_log_HbA1c) |
PSS009434| European Ancestry| 19,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3405 [0.3279, 0.353] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012215 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS009434| European Ancestry| 19,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3359 [0.3233, 0.3485] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012216 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS009208| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3366 [0.3085, 0.3641] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012217 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008762| European Ancestry| 6,326 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3096 [0.2871, 0.3317] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012219 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008314| South Asian Ancestry| 5,936 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.2393 [0.2152, 0.2632] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012220 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008091| East Asian Ancestry| 1,731 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.2571 [0.2123, 0.3008] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012221 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS007878| African Ancestry| 2,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.1245 [0.082, 0.1666] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012222 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008982| African Ancestry| 2,976 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.0934 [0.0575, 0.129] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012218 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008536| Greater Middle Eastern Ancestry| 1,128 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3222 [0.2684, 0.374] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM013243 | PGS002331 (biochemistry_HbA1c.BOLT-LMM) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0576 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013096 | PGS002331 (biochemistry_HbA1c.BOLT-LMM) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0201 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013145 | PGS002331 (biochemistry_HbA1c.BOLT-LMM) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0596 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013194 | PGS002331 (biochemistry_HbA1c.BOLT-LMM) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.1142 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013279 | PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013302 | PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0153 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013325 | PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0014 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013348 | PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0018 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013384 | PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013433 | PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.024 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013482 | PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.033 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013531 | PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0108 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013580 | PGS002452 (biochemistry_HbA1c.P+T.0.001) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013629 | PGS002452 (biochemistry_HbA1c.P+T.0.001) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0058 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013678 | PGS002452 (biochemistry_HbA1c.P+T.0.001) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0272 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013727 | PGS002452 (biochemistry_HbA1c.P+T.0.001) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0056 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013776 | PGS002501 (biochemistry_HbA1c.P+T.0.01) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013825 | PGS002501 (biochemistry_HbA1c.P+T.0.01) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0071 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013874 | PGS002501 (biochemistry_HbA1c.P+T.0.01) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0215 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013923 | PGS002501 (biochemistry_HbA1c.P+T.0.01) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013972 | PGS002550 (biochemistry_HbA1c.P+T.1e-06) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014021 | PGS002550 (biochemistry_HbA1c.P+T.1e-06) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0268 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014070 | PGS002550 (biochemistry_HbA1c.P+T.1e-06) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0444 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014119 | PGS002550 (biochemistry_HbA1c.P+T.1e-06) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0172 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014168 | PGS002599 (biochemistry_HbA1c.P+T.5e-08) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014217 | PGS002599 (biochemistry_HbA1c.P+T.5e-08) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0234 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014266 | PGS002599 (biochemistry_HbA1c.P+T.5e-08) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0488 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014315 | PGS002599 (biochemistry_HbA1c.P+T.5e-08) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0179 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014364 | PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0239 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014413 | PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0785 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014511 | PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.064 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014462 | PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1252 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014560 | PGS002697 (biochemistry_HbA1c.SBayesR) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0181 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014609 | PGS002697 (biochemistry_HbA1c.SBayesR) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0677 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014658 | PGS002697 (biochemistry_HbA1c.SBayesR) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.112 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014707 | PGS002697 (biochemistry_HbA1c.SBayesR) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0608 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM016176 | PGS003337 (CVGRS_HbA1c) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Hemoglobin A1c level | β: 0.27528 | — | — | — | — |
| PPM016193 | PGS003337 (CVGRS_HbA1c) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Type 2 diabetes | OR: 1.35007 | — | — | — | — |
| PPM016185 | PGS003346 (ALLGRS_HbA1c) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Hemoglobin A1c level | β: 0.28295 | — | — | — | — |
| PPM017277 | PGS003471 (LDPred2_HbA1c) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: 0.023 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017300 | PGS003471 (LDPred2_HbA1c) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.045 (0.024) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017346 | PGS003471 (LDPred2_HbA1c) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in obsese | β: 0.027 (0.017) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017366 | PGS003471 (LDPred2_HbA1c) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in obsese | β: 0.056 (0.034) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017367 | PGS003471 (LDPred2_HbA1c) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in non-obsese | β: 0.037 (0.034) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017395 | PGS003471 (LDPred2_HbA1c) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index x obesity interaction | β: 0.008 (1.008) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017347 | PGS003471 (LDPred2_HbA1c) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in non-obsese | β: 0.025 (0.012) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017405 | PGS003471 (LDPred2_HbA1c) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea x obesity interaction | β: 1.042 (0.049) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017461 | PGS003533 (cont-decay-log_HbA1c) |
PSS010897| European Ancestry| 19,078 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017545 | PGS003533 (cont-decay-log_HbA1c) |
PSS010813| European Ancestry| 3,920 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017629 | PGS003533 (cont-decay-log_HbA1c) |
PSS010645| European Ancestry| 6,172 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017713 | PGS003533 (cont-decay-log_HbA1c) |
PSS010561| Greater Middle Eastern Ancestry| 1,100 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017797 | PGS003533 (cont-decay-log_HbA1c) |
PSS010225| European Ancestry| 2,233 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017881 | PGS003533 (cont-decay-log_HbA1c) |
PSS010477| South Asian Ancestry| 5,884 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017965 | PGS003533 (cont-decay-log_HbA1c) |
PSS010393| East Asian Ancestry| 1,718 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018049 | PGS003533 (cont-decay-log_HbA1c) |
PSS010309| African Ancestry| 2,089 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018133 | PGS003533 (cont-decay-log_HbA1c) |
PSS010729| African Ancestry| 2,950 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM019653 | PGS003987 (dbslmm.auto.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.0202 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019654 | PGS003987 (dbslmm.auto.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.1522 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019655 | PGS003987 (dbslmm.auto.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.14804 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019656 | PGS003987 (dbslmm.auto.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.18031 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019681 | PGS004003 (lassosum.auto.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.01939 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019682 | PGS004003 (lassosum.auto.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.15659 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019683 | PGS004003 (lassosum.auto.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.1469 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019684 | PGS004003 (lassosum.auto.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.18516 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019665 | PGS004029 (ldpred2.auto.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.03102 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019666 | PGS004029 (ldpred2.auto.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.11223 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019667 | PGS004029 (ldpred2.auto.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.10588 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019668 | PGS004029 (ldpred2.auto.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.13529 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019641 | PGS004044 (ldpred2.CV.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.02666 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019642 | PGS004044 (ldpred2.CV.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.16248 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019643 | PGS004044 (ldpred2.CV.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.15314 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019644 | PGS004044 (ldpred2.CV.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.19178 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019673 | PGS004057 (megaprs.auto.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.02167 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019674 | PGS004057 (megaprs.auto.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.16342 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019675 | PGS004057 (megaprs.auto.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.16331 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019676 | PGS004057 (megaprs.auto.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.18961 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019669 | PGS004073 (megaprs.CV.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.02487 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019670 | PGS004073 (megaprs.CV.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.16593 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019671 | PGS004073 (megaprs.CV.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.16274 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019672 | PGS004073 (megaprs.CV.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.19138 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019677 | PGS004087 (prscs.auto.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.02279 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019678 | PGS004087 (prscs.auto.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.1563 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019679 | PGS004087 (prscs.auto.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.15808 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019680 | PGS004087 (prscs.auto.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.17698 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019645 | PGS004111 (pt_clump.auto.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.00455 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019646 | PGS004111 (pt_clump.auto.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.1122 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019647 | PGS004111 (pt_clump.auto.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.07796 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019648 | PGS004111 (pt_clump.auto.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.13494 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019649 | PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.02027 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019650 | PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.13414 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019652 | PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.14619 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019651 | PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.12036 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019661 | PGS004141 (sbayesr.auto.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.02812 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019662 | PGS004141 (sbayesr.auto.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.15673 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019663 | PGS004141 (sbayesr.auto.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.14236 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019664 | PGS004141 (sbayesr.auto.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.18408 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019657 | PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c) |
PSS011242| South Asian Ancestry| 12,948 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.035 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019658 | PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c) |
PSS011258| European Ancestry| 34,192 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.17514 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019659 | PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c) |
PSS011286| South Asian Ancestry| 8,748 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.16507 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019660 | PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c) |
PSS011272| European Ancestry| 86,050 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Haemoglobin A1C | β: 0.20758 | — | — | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM020452 | PGS004337 (X30750.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Glycated haemoglobin (mmol/mol) | — | — | PGS R2 (no covariates): 0.26245 | — | — |
| PPM020926 | PGS004701 (a1c_PRSmix_eur) |
PSS011478| European Ancestry| 1,543 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: A1c | — | — | Incremental R2 (Full model versus model with only covariates): 0.068 [0.044, 0.093] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020927 | PGS004702 (a1c_PRSmix_sas) |
PSS011479| South Asian Ancestry| 6,414 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: A1c | — | — | Incremental R2 (Full model versus model with only covariates): 0.053 [0.042, 0.063] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020928 | PGS004703 (a1c_PRSmixPlus_eur) |
PSS011478| European Ancestry| 1,543 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: A1c | — | — | Incremental R2 (Full model versus model with only covariates): 0.1 [0.071, 0.129] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020929 | PGS004704 (a1c_PRSmixPlus_sas) |
PSS011479| South Asian Ancestry| 6,414 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: A1c | — | — | Incremental R2 (Full model versus model with only covariates): 0.071 [0.059, 0.084] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS003594 | — | — | 61,820 individuals | — | European | — | EPIC, InterAct, LifeLines, METSIM, WGHS | — |
| PSS011272 | — | — | 86,050 individuals | — | European | — | UKB | — |
| PSS007878 | — | — | 2,100 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000817 | — | — | 1,995 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS011286 | — | — | 8,748 individuals | — | South Asian | — | UKB | — |
| PSS010055 | — | — | 22,608 individuals | — | East Asian | — | KBA, KoGES | — |
| PSS008536 | — | — | 1,128 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009434 | — | — | 19,060 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000704 | — | — | 4,847 individuals | — | African unspecified | — | UKB | — |
| PSS000705 | — | — | 1,032 individuals | — | East Asian | — | UKB | — |
| PSS000706 | — | — | 22,518 individuals | — | European | Non-British White | UKB | — |
| PSS000707 | — | — | 6,895 individuals | — | South Asian | — | UKB | — |
| PSS000708 | — | — | 60,920 individuals | — | European (British) |
— | UKB | — |
| PSS009770 | — | — | 6,861 individuals | — | South Asian | — | UKB | — |
| PSS009767 | — | — | 4,803 individuals | — | African unspecified | — | UKB | — |
| PSS009768 | — | — | 841 individuals | — | East Asian | — | UKB | — |
| PSS009769 | — | — | 38,991 individuals | — | European | Non-British European | UKB | — |
| PSS010813 | — | — | 3,920 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010561 | — | — | 1,100 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS011478 | — | — | 1,543 individuals | — | European | — | AllofUs | — |
| PSS011479 | — | — | 6,414 individuals | — | South Asian | — | G&H | — |
| PSS010309 | — | — | 2,089 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS000371 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 288 individuals, 69.2 % Male samples |
Mean = 15.83 years Sd = 0.6 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000376 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,354 individuals, 47.56 % Male samples |
Mean = 16.22 years Sd = 0.66 years |
European | — | TRAILS | — |
| PSS009208 | — | — | 3,930 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008314 | — | — | 5,936 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS, SOL | — |
| PSS007156 | — | — | 5,219 individuals | — | African unspecified | — | UKB | — |
| PSS007157 | — | — | 1,622 individuals | — | East Asian | — | UKB | — |
| PSS007158 | — | — | 23,762 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007159 | — | — | 7,345 individuals | — | South Asian | — | UKB | — |
| PSS007160 | — | — | 64,432 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010729 | — | — | 2,950 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010477 | — | — | 5,884 individuals, 54.0 % Male samples |
Mean = 53.4 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS008982 | — | — | 2,976 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010225 | — | — | 2,233 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS008091 | — | — | 1,731 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS000234 | Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes | Range = [10.0, 15.0] years | [ ,
37.93 % Male samples |
Mean = 57.4 years Sd = 7.43 years |
African unspecified | — | ARIC, MESA | Partial overlap with discovery GWAS |
| PSS000235 | Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes | Range = [10.0, 15.0] years | [ ,
47.45 % Male samples |
Mean = 55.6 years Sd = 7.37 years |
East Asian | — | MESA, SCHS | Partial overlap with discovery GWAS |
| PSS000236 | Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes | Range = [10.0, 15.0] years | [ ,
43.47 % Male samples |
Mean = 54.63 years Sd = 8.27 years |
European | — | ARIC, FHS, InterAct, MESA | Partial overlap with discovery GWAS |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS011242 | — | — | 12,948 individuals | — | South Asian | — | G&H | — |
| PSS010897 | — | — | 19,078 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS011258 | — | — | 34,192 individuals | — | European | — | HUNT | — |
| PSS008762 | — | — | 6,326 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010645 | — | — | 6,172 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010393 | — | — | 1,718 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS003591 | — | — | 6,647 individuals | — | African American or Afro-Caribbean | — | ARIC, BioMe, HANDLS, JHS, MESA | — |
| PSS003592 | — | — | 4,441 individuals | — | Sub-Saharan African (Ugandan) |
— | NR | — |
| PSS003593 | — | — | 31,236 individuals | — | East Asian (Japanese, Chinese, Malay, Han Chinese) |
— | 15 cohorts
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