Trait: HbA1c measurement

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
  • A1C measurement
  • A1c measurement
  • Glycosylated Hemoglobin
  • Glycosylated Hemoglobin Measurement
  • HBA1C
  • HbA1c levels
  • Hemoglobin A1C
  • glycated hemoglobin levels
  • glycosylated Haemoglobin A level
  • glycosylated Hemoglobin A level
Mapped term NCIt:C64849

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution 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 - Check Terms/Licenses
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 M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 1,009,642
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003987/ScoringFiles/PGS003987.txt.gz
PGS004003
(lassosum.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 4,697
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004003/ScoringFiles/PGS004003.txt.gz
PGS004029
(ldpred2.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 907,906
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004029/ScoringFiles/PGS004029.txt.gz
PGS004044
(ldpred2.CV.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 907,906
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004044/ScoringFiles/PGS004044.txt.gz
PGS004057
(megaprs.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 514,367
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004057/ScoringFiles/PGS004057.txt.gz
PGS004073
(megaprs.CV.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 514,367
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004073/ScoringFiles/PGS004073.txt.gz
PGS004087
(prscs.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 989,845
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004087/ScoringFiles/PGS004087.txt.gz
PGS004111
(pt_clump.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 51
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004111/ScoringFiles/PGS004111.txt.gz
PGS004127
(pt_clump_nested.CV.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 246
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004127/ScoringFiles/PGS004127.txt.gz
PGS004141
(sbayesr.auto.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 683,029
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004141/ScoringFiles/PGS004141.txt.gz
PGS004157
(UKBB_EnsPGS.GCST007954.HbA1c)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
HbA1c HbA1c measurement 1,009,664
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004157/ScoringFiles/PGS004157.txt.gz
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

Performance Metrics

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

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
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 (%) : 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 (%) : 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] : 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] : 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] : 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] : 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] : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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)

Evaluated Samples

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
[
  • 262 cases
  • , 1,644 controls
]
,
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
[
  • 2,391 cases
  • , 2,682 controls
]
,
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
[
  • 13,145 cases
  • , 24,212 controls
]
,
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
  • AASC
  • ,BES
  • ,CAGE
  • ,CHNS
  • ,CRC
  • ,KARE
  • ,Living-Biobank
  • ,MESA
  • ,NHAPC
  • ,Nagahama_Study
  • ,SBCS
  • ,SCES
  • ,SIMES
  • ,SP2
  • ,TWSC