Trait: hemoglobin measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004509
Description
  • Hemoglobin measurement is a measure of the quantity of the metallo protein hemoglobin in blood often used in the diagnosis of anaemia.
  • hemoglobin levels
Trait category
Hematological measurement
Synonyms 3 synonyms
  • Hb
  • haemoglobin measurement
  • hemoglobin count
Mapped term NCIt:C64848
Child trait(s) 2 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "hemoglobin measurement" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000093
(hgb)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Hemoglobin concentration hemoglobin measurement 25,090
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000093/ScoringFiles/PGS000093.txt.gz
PGS000100
(mchc)
PGP000051 |
Xu Y et al. Cell Genom (2022)
Mean corpuscular hemoglobin concentration mean corpuscular hemoglobin concentration 11,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000100/ScoringFiles/PGS000100.txt.gz
PGS000127
(GS-E-EUR)
PGP000064 |
Wheeler E et al. PLoS Med (2017)
Hemoglobin A1c 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)
Hemoglobin A1c 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)
Hemoglobin A1c 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)
Hemoglobin A1c 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)
Hemoglobin A1c 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)
Hemoglobin A1c HbA1c measurement 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000132/ScoringFiles/PGS000132.txt.gz
PGS000168
(hgb)
PGP000078 |
Vuckovic D et al. Cell (2020)
Hemoglobin concentration hemoglobin measurement 515
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000168/ScoringFiles/PGS000168.txt.gz
PGS000175
(mchc)
PGP000078 |
Vuckovic D et al. Cell (2020)
Mean corpuscular hemoglobin concentration mean corpuscular hemoglobin concentration 224
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000175/ScoringFiles/PGS000175.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
PGS001218
(GBE_INI30060)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Mean corpuscular haemoglobin concentration mean corpuscular hemoglobin concentration 2,359
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001218/ScoringFiles/PGS001218.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
PGS001400
(GBE_INI30020)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Haemoglobin concentration hemoglobin measurement 15,602
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001400/ScoringFiles/PGS001400.txt.gz
PGS001926
(portability-PLR_haemoglobin)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Haemoglobin concentration hemoglobin measurement 69,467
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001926/ScoringFiles/PGS001926.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
PGS002142
(portability-ldpred2_haemoglobin)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Haemoglobin concentration hemoglobin measurement 786,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002142/ScoringFiles/PGS002142.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

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
PPM000218 PGS000093
(hgb)
PSS000158|
European Ancestry|
81,548 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Hemoglobin concentration Pearson correlation coefficent (r): 0.37936 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000219 PGS000093
(hgb)
PSS000132|
European Ancestry|
40,329 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Hemoglobin concentration Pearson correlation coefficent (r): 0.30254 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
PPM000232 PGS000100
(mchc)
PSS000165|
European Ancestry|
81,570 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean corpuscular hemoglobin concentration Pearson correlation coefficent (r): 0.2805 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000233 PGS000100
(mchc)
PSS000139|
European Ancestry|
40,265 individuals
PGP000051 |
Xu Y et al. Cell Genom (2022)
Reported Trait: Mean corpuscular hemoglobin concentration Pearson correlation coefficent (r): 0.29105 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment)
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
PPM001778 PGS000168
(hgb)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Hemoglobin Pearson correlation coefficent (r): 0.14
PPM000549 PGS000168
(hgb)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Hemoglobin concentration : 0.0646 sex, age, 10 genetic PCs
PPM000524 PGS000168
(hgb)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Hemoglobin concentration : 0.05697 sex, age, 10 genetic PCs
PPM000551 PGS000175
(mchc)
PSS000290|
European Ancestry|
2,314 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean corpuscular hemoglobin concentration : 0.04796 sex, age, 10 genetic PCs
PPM000531 PGS000175
(mchc)
PSS000291|
European Ancestry|
39,260 individuals
PGP000078 |
Vuckovic D et al. Cell (2020)
Reported Trait: Mean corpuscular hemoglobin concentration : 0.05159 sex, age, 10 genetic PCs
PPM001772 PGS000175
(mchc)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Mean cell hemoglobin concentration Pearson correlation coefficent (r): 0.12
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
PPM008624 PGS001218
(GBE_INI30060)
PSS006936|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean corpuscular haemoglobin concentration : 0.01334 [0.0078, 0.01888]
Incremental R2 (full-covars): 0.0007
PGS R2 (no covariates): 0.00244 [0.00004, 0.00483]
age, sex, UKB array type, Genotype PCs
PPM008625 PGS001218
(GBE_INI30060)
PSS006937|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean corpuscular haemoglobin concentration : 0.05415 [0.03329, 0.07501]
Incremental R2 (full-covars): 0.01409
PGS R2 (no covariates): 0.01986 [0.00677, 0.03295]
age, sex, UKB array type, Genotype PCs
PPM008626 PGS001218
(GBE_INI30060)
PSS006938|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean corpuscular haemoglobin concentration : 0.02769 [0.02367, 0.03171]
Incremental R2 (full-covars): 0.01601
PGS R2 (no covariates): 0.01701 [0.01382, 0.02019]
age, sex, UKB array type, Genotype PCs
PPM008627 PGS001218
(GBE_INI30060)
PSS006939|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean corpuscular haemoglobin concentration : 0.04592 [0.03687, 0.05498]
Incremental R2 (full-covars): 0.01608
PGS R2 (no covariates): 0.01906 [0.01306, 0.02505]
age, sex, UKB array type, Genotype PCs
PPM008628 PGS001218
(GBE_INI30060)
PSS006940|
European Ancestry|
65,635 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Mean corpuscular haemoglobin concentration : 0.03753 [0.03472, 0.04035]
Incremental R2 (full-covars): 0.02447
PGS R2 (no covariates): 0.02534 [0.023, 0.02768]
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
PPM007035 PGS001400
(GBE_INI30020)
PSS006901|
African Ancestry|
6,139 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Haemoglobin concentration : 0.38602 [0.36748, 0.40456]
Incremental R2 (full-covars): 0.00491
PGS R2 (no covariates): 0.01221 [0.00691, 0.01752]
age, sex, UKB array type, Genotype PCs
PPM007036 PGS001400
(GBE_INI30020)
PSS006902|
East Asian Ancestry|
1,655 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Haemoglobin concentration : 0.40783 [0.37199, 0.44367]
Incremental R2 (full-covars): 0.02084
PGS R2 (no covariates): 0.01558 [0.00394, 0.02723]
age, sex, UKB array type, Genotype PCs
PPM007037 PGS001400
(GBE_INI30020)
PSS006903|
European Ancestry|
24,175 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Haemoglobin concentration : 0.43532 [0.42607, 0.44457]
Incremental R2 (full-covars): 0.06361
PGS R2 (no covariates): 0.06382 [0.05795, 0.06969]
age, sex, UKB array type, Genotype PCs
PPM007038 PGS001400
(GBE_INI30020)
PSS006904|
South Asian Ancestry|
7,520 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Haemoglobin concentration : 0.4337 [0.41719, 0.45022]
Incremental R2 (full-covars): 0.02482
PGS R2 (no covariates): 0.01823 [0.01236, 0.0241]
age, sex, UKB array type, Genotype PCs
PPM007039 PGS001400
(GBE_INI30020)
PSS006905|
European Ancestry|
65,638 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Haemoglobin concentration : 0.42918 [0.42353, 0.43482]
Incremental R2 (full-covars): 0.06776
PGS R2 (no covariates): 0.06681 [0.06316, 0.07045]
age, sex, UKB array type, Genotype PCs
PPM010284 PGS001926
(portability-PLR_haemoglobin)
PSS009186|
European Ancestry|
4,001 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.3146 [0.2864, 0.3423] sex, age, birth date, deprivation index, 16 PCs
PPM010285 PGS001926
(portability-PLR_haemoglobin)
PSS008740|
European Ancestry|
6,436 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2911 [0.2686, 0.3134] sex, age, birth date, deprivation index, 16 PCs
PPM010286 PGS001926
(portability-PLR_haemoglobin)
PSS008514|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2493 [0.1938, 0.3031] sex, age, birth date, deprivation index, 16 PCs
PPM010287 PGS001926
(portability-PLR_haemoglobin)
PSS008292|
South Asian Ancestry|
6,077 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2104 [0.1863, 0.2344] sex, age, birth date, deprivation index, 16 PCs
PPM010288 PGS001926
(portability-PLR_haemoglobin)
PSS008069|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.208 [0.1627, 0.2525] sex, age, birth date, deprivation index, 16 PCs
PPM010289 PGS001926
(portability-PLR_haemoglobin)
PSS007856|
African Ancestry|
2,340 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.1224 [0.0822, 0.1623] sex, age, birth date, deprivation index, 16 PCs
PPM010290 PGS001926
(portability-PLR_haemoglobin)
PSS008960|
African Ancestry|
3,709 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.1163 [0.0844, 0.148] sex, age, birth date, deprivation index, 16 PCs
PPM010283 PGS001926
(portability-PLR_haemoglobin)
PSS009412|
European Ancestry|
19,423 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.3431 [0.3306, 0.3555] sex, age, birth date, deprivation index, 16 PCs
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
PPM011983 PGS002142
(portability-ldpred2_haemoglobin)
PSS009412|
European Ancestry|
19,423 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.3358 [0.3233, 0.3482] sex, age, birth date, deprivation index, 16 PCs
PPM011984 PGS002142
(portability-ldpred2_haemoglobin)
PSS009186|
European Ancestry|
4,001 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.3107 [0.2824, 0.3385] sex, age, birth date, deprivation index, 16 PCs
PPM011985 PGS002142
(portability-ldpred2_haemoglobin)
PSS008740|
European Ancestry|
6,436 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2912 [0.2686, 0.3134] sex, age, birth date, deprivation index, 16 PCs
PPM011986 PGS002142
(portability-ldpred2_haemoglobin)
PSS008514|
Greater Middle Eastern Ancestry|
1,153 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2407 [0.185, 0.2948] sex, age, birth date, deprivation index, 16 PCs
PPM011987 PGS002142
(portability-ldpred2_haemoglobin)
PSS008292|
South Asian Ancestry|
6,077 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.2123 [0.1881, 0.2362] sex, age, birth date, deprivation index, 16 PCs
PPM011988 PGS002142
(portability-ldpred2_haemoglobin)
PSS008069|
East Asian Ancestry|
1,762 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.1969 [0.1513, 0.2416] sex, age, birth date, deprivation index, 16 PCs
PPM011989 PGS002142
(portability-ldpred2_haemoglobin)
PSS007856|
African Ancestry|
2,340 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.1241 [0.0838, 0.164] sex, age, birth date, deprivation index, 16 PCs
PPM011990 PGS002142
(portability-ldpred2_haemoglobin)
PSS008960|
African Ancestry|
3,709 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Haemoglobin concentration Partial Correlation (partial-r): 0.1255 [0.0936, 0.1572] 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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚age*sex, assessment center, genotyping array, 10 PCs

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
PSS009412 19,423 individuals European UK (+ Ireland) UKB
PSS007878 2,100 individuals African American or Afro-Caribbean Carribean UKB
PSS000817 1,995 individuals European Participants self-identifying as white MESA
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
PSS009186 4,001 individuals European Poland (NE Europe) UKB
PSS009770 6,861 individuals South Asian UKB
PSS008292 6,077 individuals South Asian India (South Asia) UKB
PSS009767 4,803 individuals African unspecified UKB
PSS008514 1,153 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009768 841 individuals East Asian UKB
PSS009769 38,991 individuals European Non-British European UKB
PSS000290 2,314 individuals European
(French Canadian)
CARTaGENE
PSS000291 39,260 individuals European INTERVAL
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
PSS000911 13,989 individuals Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)
QBB
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
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)
PSS006901 6,139 individuals African unspecified UKB
PSS006902 1,655 individuals East Asian UKB
PSS006903 24,175 individuals European non-white British ancestry UKB
PSS000132 40,329 individuals,
49.0 % Male samples
Mean = 43.84 years
Range = [18.0, 76.4] years
European INTERVAL
PSS006904 7,520 individuals South Asian UKB
PSS006905 65,638 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS008069 1,762 individuals East Asian China (East Asia) UKB
PSS008960 3,709 individuals African unspecified Nigeria (West Africa) UKB
PSS000139 40,265 individuals,
50.0 % Male samples
Mean = 43.83 years
Range = [18.0, 76.4] years
European INTERVAL
PSS008982 2,976 individuals African unspecified Nigeria (West Africa) 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
PSS000158 81,548 individuals,
46.0 % Male samples
Mean = 57.23 years
Range = [40.16, 72.91] years
European UKB
PSS006936 6,139 individuals African unspecified UKB
PSS006937 1,655 individuals East Asian UKB
PSS006938 24,175 individuals European non-white British ancestry UKB
PSS006939 7,520 individuals South Asian UKB
PSS006940 65,635 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS000165 81,570 individuals,
46.0 % Male samples
Mean = 57.27 years
Range = [39.98, 70.7] years
European UKB
PSS008740 6,436 individuals European Italy (South Europe) UKB
PSS007856 2,340 individuals African American or Afro-Caribbean Carribean UKB
PSS008762 6,326 individuals European Italy (South Europe) 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