Trait: glucose measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004468
Description Is any quantification of glucose.
Trait category
Other measurement
Synonym glucose level
Mapped terms 3 mapped terms
  • ICD10:R73
  • NCIt:C105585
  • SNOMEDCT:36048009
Child trait(s) 6 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 "glucose 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)
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
PGS000305
(GRS31_FG)
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Fasting glucose fasting blood glucose measurement 31
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000305/ScoringFiles/PGS000305.txt.gz
PGS000306
(GRS19_FGadjBMI)
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Fasting glucose (body mass index adjusted) BMI-adjusted fasting blood glucose measurement 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000306/ScoringFiles/PGS000306.txt.gz
PGS000684
(snpnet.Glucose)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Glucose [mmol/L] glucose measurement 3,313
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000684/ScoringFiles/PGS000684.txt.gz - Check Terms/Licenses
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
PGS000838
(Fasting_Glucose)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Fasting glucose fasting blood glucose measurement 224
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000838/ScoringFiles/PGS000838.txt.gz
PGS000839
(2H_Glucose)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Two hour glucose during OGTT glucose tolerance test 219
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000839/ScoringFiles/PGS000839.txt.gz
PGS001350
(MAGICTA_EUR_PGS_FG)
PGP000246 |
Chen J et al. Nat Genet (2021)
Fasting glucose fasting blood glucose measurement 1,023,373
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001350/ScoringFiles/PGS001350.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
PGS001952
(portability-PLR_log_glucose)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Glucose glucose measurement 14,811
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001952/ScoringFiles/PGS001952.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
PGS002170
(portability-ldpred2_log_glucose)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Glucose glucose measurement 602,241
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002170/ScoringFiles/PGS002170.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
PGS002328
(biochemistry_Glucose.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002328/ScoringFiles/PGS002328.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
PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 920,926
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002365/ScoringFiles/PGS002365.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
PGS002400
(biochemistry_Glucose.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 3,774
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002400/ScoringFiles/PGS002400.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
PGS002449
(biochemistry_Glucose.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 15,659
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002449/ScoringFiles/PGS002449.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
PGS002498
(biochemistry_Glucose.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 95,023
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002498/ScoringFiles/PGS002498.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
PGS002547
(biochemistry_Glucose.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 840
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002547/ScoringFiles/PGS002547.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
PGS002596
(biochemistry_Glucose.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 482
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002596/ScoringFiles/PGS002596.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
PGS002645
(biochemistry_Glucose.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 412,574
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002645/ScoringFiles/PGS002645.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
PGS002694
(biochemistry_Glucose.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Glucose glucose measurement 969,640
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002694/ScoringFiles/PGS002694.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
PGS002924
(ExPRSweb_FPG_FGovertime-corrected_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 281
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002924/ScoringFiles/PGS002924.txt.gz
PGS002925
(ExPRSweb_FPG_FGovertime-corrected_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002925/ScoringFiles/PGS002925.txt.gz
PGS002926
(ExPRSweb_FPG_FGovertime-corrected_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002926/ScoringFiles/PGS002926.txt.gz
PGS002927
(ExPRSweb_FPG_FGovertime-corrected_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 5,106
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002927/ScoringFiles/PGS002927.txt.gz
PGS002928
(ExPRSweb_FPG_FGovertime-corrected_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 392
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002928/ScoringFiles/PGS002928.txt.gz
PGS002929
(ExPRSweb_FPG_MAGIC-FastingGlucose_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 71,791
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002929/ScoringFiles/PGS002929.txt.gz
PGS002930
(ExPRSweb_FPG_MAGIC-FastingGlucose_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 264
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002930/ScoringFiles/PGS002930.txt.gz
PGS002931
(ExPRSweb_FPG_MAGIC-FastingGlucose_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 273
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002931/ScoringFiles/PGS002931.txt.gz
PGS002932
(ExPRSweb_FPG_MAGIC-FastingGlucose_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 1,202,298
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002932/ScoringFiles/PGS002932.txt.gz
PGS002933
(ExPRSweb_FPG_MAGIC-FastingGlucose_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Fasting plasma glucose fasting blood glucose measurement 1,007,415
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002933/ScoringFiles/PGS002933.txt.gz
PGS002934
(ExPRSweb_Glucose_30740-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 513,495
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002934/ScoringFiles/PGS002934.txt.gz
PGS002935
(ExPRSweb_Glucose_30740-irnt_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 4,535
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002935/ScoringFiles/PGS002935.txt.gz
PGS002936
(ExPRSweb_Glucose_30740-irnt_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 4,405
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002936/ScoringFiles/PGS002936.txt.gz
PGS002937
(ExPRSweb_Glucose_30740-irnt_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 7,600,988
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002937/ScoringFiles/PGS002937.txt.gz
PGS002938
(ExPRSweb_Glucose_30740-irnt_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 1,113,830
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002938/ScoringFiles/PGS002938.txt.gz
PGS002939
(ExPRSweb_Glucose_30740-raw_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 444,825
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002939/ScoringFiles/PGS002939.txt.gz
PGS002940
(ExPRSweb_Glucose_30740-raw_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 1,080
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002940/ScoringFiles/PGS002940.txt.gz
PGS002941
(ExPRSweb_Glucose_30740-raw_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 1,049
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002941/ScoringFiles/PGS002941.txt.gz
PGS002942
(ExPRSweb_Glucose_30740-raw_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 7,600,988
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002942/ScoringFiles/PGS002942.txt.gz
PGS002943
(ExPRSweb_Glucose_30740-raw_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose glucose measurement 1,113,830
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002943/ScoringFiles/PGS002943.txt.gz
PGS002944
(ExPRSweb_Glucose_FGovertime-corrected_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 519
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002944/ScoringFiles/PGS002944.txt.gz
PGS002945
(ExPRSweb_Glucose_FGovertime-corrected_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 1,479
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002945/ScoringFiles/PGS002945.txt.gz
PGS002946
(ExPRSweb_Glucose_FGovertime-corrected_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 1,553
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002946/ScoringFiles/PGS002946.txt.gz
PGS002947
(ExPRSweb_Glucose_FGovertime-corrected_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 1,501
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002947/ScoringFiles/PGS002947.txt.gz
PGS002948
(ExPRSweb_Glucose_FGovertime-corrected_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 392
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002948/ScoringFiles/PGS002948.txt.gz
PGS002949
(ExPRSweb_Glucose_MAGIC-FastingGlucose_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 72,352
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002949/ScoringFiles/PGS002949.txt.gz
PGS002950
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 38
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002950/ScoringFiles/PGS002950.txt.gz
PGS002951
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 38
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002951/ScoringFiles/PGS002951.txt.gz
PGS002952
(ExPRSweb_Glucose_MAGIC-FastingGlucose_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 1,501
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002952/ScoringFiles/PGS002952.txt.gz
PGS002953
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Glucose fasting blood glucose measurement 1,008,035
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002953/ScoringFiles/PGS002953.txt.gz
PGS003336
(CVGRS_FPG)
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Fasting plasma glucose fasting blood glucose measurement 56
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003336/ScoringFiles/PGS003336.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
PGS003345
(ALLGRS_FPG)
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Fasting plasma glucose fasting blood glucose measurement 60
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003345/ScoringFiles/PGS003345.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
PGS003469
(LDPred2_HOMA_B)
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
HOMA-B HOMA-B 775,825
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003469/ScoringFiles/PGS003469.txt.gz
PGS003470
(LDPred2_HOMA_IR)
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
HOMA-IR HOMA-IR 775,999
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003470/ScoringFiles/PGS003470.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

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
PPM000775 PGS000305
(GRS31_FG)
PSS000376|
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Fasting glucose (mmol/l) : 0.0367 Sex, age, age^2
PPM000776 PGS000306
(GRS19_FGadjBMI)
PSS000376|
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Fasting glucose (mmol/l) : 0.0095 Sex, age, BMI
PPM001447 PGS000684
(snpnet.Glucose)
PSS000695|
East Asian Ancestry|
60 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Glucose [mmol/L] : 0.08219
Spearman's ρ: 0.178
Age, sex, PCs(1-40)
PPM001482 PGS000684
(snpnet.Glucose)
PSS000696|
European Ancestry|
986 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Glucose [mmol/L] : 0.06962
Spearman's ρ: 0.242
Age, sex, PCs(1-40)
PPM001517 PGS000684
(snpnet.Glucose)
PSS000697|
South Asian Ancestry|
337 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Glucose [mmol/L] : 0.05599
Spearman's ρ: 0.227
Age, sex, PCs(1-40)
PPM001552 PGS000684
(snpnet.Glucose)
PSS000698|
European Ancestry|
2,208 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Glucose [mmol/L] : 0.06966
Spearman's ρ: 0.214
Age, sex, PCs(1-40)
PPM001583 PGS000684
(snpnet.Glucose)
PSS000813|
European Ancestry|
2,129 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Glucose [mmol/L] Spearman's ρ: 0.132 Age, sex
PPM001584 PGS000684
(snpnet.Glucose)
PSS000814|
European Ancestry|
2,002 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Glucose [mmol/L] Spearman's ρ: 0.135 Age, sex
PPM001412 PGS000684
(snpnet.Glucose)
PSS000694|
African Ancestry|
760 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Glucose [mmol/L] : 0.05168
Spearman's ρ: 0.059
Age, sex, PCs(1-40)
PPM007345 PGS000684
(snpnet.Glucose)
PSS007151|
African Ancestry|
5,651 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Glucose : 0.02744 [0.01961, 0.03527]
Incremental R2 (full-covars): 0.00103
PGS R2 (no covariates): 0.00255 [0.0001, 0.005]
age, sex, UKB array type, Genotype PCs
PPM007346 PGS000684
(snpnet.Glucose)
PSS007152|
East Asian Ancestry|
1,474 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Glucose : 0.04784 [0.02811, 0.06758]
Incremental R2 (full-covars): 0.00354
PGS R2 (no covariates): 0.00962 [0.00041, 0.01883]
age, sex, UKB array type, Genotype PCs
PPM007347 PGS000684
(snpnet.Glucose)
PSS007153|
European Ancestry|
21,725 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Glucose : 0.01933 [0.01594, 0.02271]
Incremental R2 (full-covars): 0.00451
PGS R2 (no covariates): 0.01332 [0.01049, 0.01615]
age, sex, UKB array type, Genotype PCs
PPM007348 PGS000684
(snpnet.Glucose)
PSS007154|
South Asian Ancestry|
6,787 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Glucose : 0.02105 [0.01476, 0.02734]
Incremental R2 (full-covars): 0.00223
PGS R2 (no covariates): 0.01136 [0.0067, 0.01603]
age, sex, UKB array type, Genotype PCs
PPM007349 PGS000684
(snpnet.Glucose)
PSS007155|
European Ancestry|
59,031 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Glucose : 0.01813 [0.01614, 0.02013]
Incremental R2 (full-covars): 0.00467
PGS R2 (no covariates): 0.01444 [0.01265, 0.01622]
age, sex, UKB array type, Genotype PCs
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
PPM002273 PGS000838
(Fasting_Glucose)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.09 [0.98, 1.2] PC1-10
PPM002275 PGS000838
(Fasting_Glucose)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.05 [0.98, 1.13] PC1-10
PPM002276 PGS000838
(Fasting_Glucose)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.38 [1.29, 1.48] PC1-10
PPM002277 PGS000838
(Fasting_Glucose)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.33 [1.26, 1.41] PC1-10
PPM002274 PGS000838
(Fasting_Glucose)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.33 [1.24, 1.42] PC1-10
PPM002278 PGS000839
(2H_Glucose)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.12 [1.01, 1.24] PC1-10
PPM002279 PGS000839
(2H_Glucose)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.4 [1.31, 1.51] PC1-10
PPM002280 PGS000839
(2H_Glucose)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.13 [1.06, 1.22] PC1-10
PPM002281 PGS000839
(2H_Glucose)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.31 [1.22, 1.4] PC1-10
PPM002282 PGS000839
(2H_Glucose)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.34 [1.27, 1.42] PC1-10
PPM005137 PGS001350
(MAGICTA_EUR_PGS_FG)
PSS003587|
European Ancestry|
45,038 individuals
PGP000246 |
Chen J et al. Nat Genet (2021)
Reported Trait: Fasting glucose : 0.229
PPM005140 PGS001350
(MAGICTA_EUR_PGS_FG)
PSS003585|
African Ancestry|
16,579 individuals
PGP000246 |
Chen J et al. Nat Genet (2021)
Reported Trait: Fasting glucose : 0.032
PPM005143 PGS001350
(MAGICTA_EUR_PGS_FG)
PSS003586|
East Asian Ancestry|
31,669 individuals
PGP000246 |
Chen J et al. Nat Genet (2021)
Reported Trait: Fasting glucose : 0.027
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
PPM010491 PGS001952
(portability-PLR_log_glucose)
PSS009445|
European Ancestry|
17,440 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1692 [0.1548, 0.1836] sex, age, birth date, deprivation index, 16 PCs
PPM010492 PGS001952
(portability-PLR_log_glucose)
PSS009219|
European Ancestry|
3,591 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1835 [0.1516, 0.215] sex, age, birth date, deprivation index, 16 PCs
PPM010493 PGS001952
(portability-PLR_log_glucose)
PSS008773|
European Ancestry|
5,795 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1572 [0.1319, 0.1822] sex, age, birth date, deprivation index, 16 PCs
PPM010494 PGS001952
(portability-PLR_log_glucose)
PSS008547|
Greater Middle Eastern Ancestry|
1,034 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1414 [0.0806, 0.2012] sex, age, birth date, deprivation index, 16 PCs
PPM010495 PGS001952
(portability-PLR_log_glucose)
PSS008325|
South Asian Ancestry|
5,481 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.142 [0.116, 0.1679] sex, age, birth date, deprivation index, 16 PCs
PPM010496 PGS001952
(portability-PLR_log_glucose)
PSS008102|
East Asian Ancestry|
1,562 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1327 [0.0833, 0.1814] sex, age, birth date, deprivation index, 16 PCs
PPM010497 PGS001952
(portability-PLR_log_glucose)
PSS007889|
African Ancestry|
2,159 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.0635 [0.0212, 0.1056] sex, age, birth date, deprivation index, 16 PCs
PPM010498 PGS001952
(portability-PLR_log_glucose)
PSS008993|
African Ancestry|
3,397 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.0622 [0.0286, 0.0958] 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
PPM012208 PGS002170
(portability-ldpred2_log_glucose)
PSS009219|
European Ancestry|
3,591 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1797 [0.1478, 0.2113] sex, age, birth date, deprivation index, 16 PCs
PPM012209 PGS002170
(portability-ldpred2_log_glucose)
PSS008773|
European Ancestry|
5,795 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1621 [0.1369, 0.1871] sex, age, birth date, deprivation index, 16 PCs
PPM012207 PGS002170
(portability-ldpred2_log_glucose)
PSS009445|
European Ancestry|
17,440 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1726 [0.1581, 0.1869] sex, age, birth date, deprivation index, 16 PCs
PPM012210 PGS002170
(portability-ldpred2_log_glucose)
PSS008547|
Greater Middle Eastern Ancestry|
1,034 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1516 [0.0909, 0.2112] sex, age, birth date, deprivation index, 16 PCs
PPM012211 PGS002170
(portability-ldpred2_log_glucose)
PSS008325|
South Asian Ancestry|
5,481 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1434 [0.1173, 0.1692] sex, age, birth date, deprivation index, 16 PCs
PPM012213 PGS002170
(portability-ldpred2_log_glucose)
PSS007889|
African Ancestry|
2,159 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.0711 [0.0288, 0.1131] sex, age, birth date, deprivation index, 16 PCs
PPM012214 PGS002170
(portability-ldpred2_log_glucose)
PSS008993|
African Ancestry|
3,397 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.0703 [0.0366, 0.1037] sex, age, birth date, deprivation index, 16 PCs
PPM012212 PGS002170
(portability-ldpred2_log_glucose)
PSS008102|
East Asian Ancestry|
1,562 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Glucose Partial Correlation (partial-r): 0.1358 [0.0864, 0.1844] 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
PPM013093 PGS002328
(biochemistry_Glucose.BOLT-LMM)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0089 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013142 PGS002328
(biochemistry_Glucose.BOLT-LMM)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0154 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013191 PGS002328
(biochemistry_Glucose.BOLT-LMM)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0298 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013240 PGS002328
(biochemistry_Glucose.BOLT-LMM)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0219 age, sex, age*sex, assessment center, genotyping array, 10 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
PPM013277 PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013300 PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0068 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013323 PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.001 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013346 PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0025 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
PPM013381 PGS002400
(biochemistry_Glucose.P+T.0.0001)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013430 PGS002400
(biochemistry_Glucose.P+T.0.0001)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0029 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013479 PGS002400
(biochemistry_Glucose.P+T.0.0001)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013528 PGS002400
(biochemistry_Glucose.P+T.0.0001)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0014 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
PPM013577 PGS002449
(biochemistry_Glucose.P+T.0.001)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013626 PGS002449
(biochemistry_Glucose.P+T.0.001)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0039 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013675 PGS002449
(biochemistry_Glucose.P+T.0.001)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0009 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013724 PGS002449
(biochemistry_Glucose.P+T.0.001)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0015 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
PPM013773 PGS002498
(biochemistry_Glucose.P+T.0.01)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0005 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013822 PGS002498
(biochemistry_Glucose.P+T.0.01)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0136 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013871 PGS002498
(biochemistry_Glucose.P+T.0.01)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013920 PGS002498
(biochemistry_Glucose.P+T.0.01)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0003 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
PPM013969 PGS002547
(biochemistry_Glucose.P+T.1e-06)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014018 PGS002547
(biochemistry_Glucose.P+T.1e-06)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0011 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014067 PGS002547
(biochemistry_Glucose.P+T.1e-06)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0015 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014116 PGS002547
(biochemistry_Glucose.P+T.1e-06)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.001 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
PPM014165 PGS002596
(biochemistry_Glucose.P+T.5e-08)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014214 PGS002596
(biochemistry_Glucose.P+T.5e-08)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014263 PGS002596
(biochemistry_Glucose.P+T.5e-08)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0038 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014312 PGS002596
(biochemistry_Glucose.P+T.5e-08)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0011 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
PPM014361 PGS002645
(biochemistry_Glucose.PolyFun-pred)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0126 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014410 PGS002645
(biochemistry_Glucose.PolyFun-pred)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0197 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014459 PGS002645
(biochemistry_Glucose.PolyFun-pred)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.033 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014508 PGS002645
(biochemistry_Glucose.PolyFun-pred)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0248 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
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
PPM014606 PGS002694
(biochemistry_Glucose.SBayesR)
PSS009756|
East Asian Ancestry|
794 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0177 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014655 PGS002694
(biochemistry_Glucose.SBayesR)
PSS009757|
European Ancestry|
37,281 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0296 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014704 PGS002694
(biochemistry_Glucose.SBayesR)
PSS009758|
South Asian Ancestry|
6,744 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0212 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014557 PGS002694
(biochemistry_Glucose.SBayesR)
PSS009755|
African Ancestry|
5,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Glucose Incremental R2 (full model vs. covariates alone): 0.0094 age, sex, age*sex, assessment center, genotyping array, 10 PCs
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
PPM015803 PGS002924
(ExPRSweb_FPG_FGovertime-corrected_LASSOSUM_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: -0.0308 (0.564) : 0.0004 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015806 PGS002925
(ExPRSweb_FPG_FGovertime-corrected_PT_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: -0.531 (0.592) : 0.00991 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015804 PGS002926
(ExPRSweb_FPG_FGovertime-corrected_PLINK_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: 0.294 (0.661) : 0.00282 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015802 PGS002927
(ExPRSweb_FPG_FGovertime-corrected_DBSLMM_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: -0.263 (0.601) : 0.00714 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015805 PGS002928
(ExPRSweb_FPG_FGovertime-corrected_PRSCS_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: -0.564 (0.613) : 0.00161 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015808 PGS002929
(ExPRSweb_FPG_MAGIC-FastingGlucose_LASSOSUM_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: 0.864 (0.634) : 0.00726 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015811 PGS002930
(ExPRSweb_FPG_MAGIC-FastingGlucose_PT_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: 1.6 (0.657) : 0.0076 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015809 PGS002931
(ExPRSweb_FPG_MAGIC-FastingGlucose_PLINK_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: 1.71 (0.658) : 0.00975 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015807 PGS002932
(ExPRSweb_FPG_MAGIC-FastingGlucose_DBSLMM_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: -0.414 (0.655) : 6e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015810 PGS002933
(ExPRSweb_FPG_MAGIC-FastingGlucose_PRSCS_MGI_20211120)
PSS010004|
European Ancestry|
286 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Fasting Plasma Glucose β: 1.15 (0.65) : 0.011 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015813 PGS002934
(ExPRSweb_Glucose_30740-irnt_LASSOSUM_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 2.52 (0.125) : 0.0194 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015816 PGS002935
(ExPRSweb_Glucose_30740-irnt_PT_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 2.29 (0.124) : 0.016 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015814 PGS002936
(ExPRSweb_Glucose_30740-irnt_PLINK_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 2.26 (0.124) : 0.0154 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015812 PGS002937
(ExPRSweb_Glucose_30740-irnt_DBSLMM_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 1.68 (0.125) : 0.0089 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015815 PGS002938
(ExPRSweb_Glucose_30740-irnt_PRSCS_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 2.53 (0.125) : 0.0195 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015818 PGS002939
(ExPRSweb_Glucose_30740-raw_LASSOSUM_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 2.57 (0.132) : 0.0196 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015821 PGS002940
(ExPRSweb_Glucose_30740-raw_PT_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 2.12 (0.129) : 0.0157 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015819 PGS002941
(ExPRSweb_Glucose_30740-raw_PLINK_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 2.15 (0.129) : 0.0159 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015817 PGS002942
(ExPRSweb_Glucose_30740-raw_DBSLMM_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 1.46 (0.125) : 0.00746 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015820 PGS002943
(ExPRSweb_Glucose_30740-raw_PRSCS_MGI_20211120)
PSS010005|
European Ancestry|
20,401 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 2.97 (0.132) : 0.0243 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015823 PGS002944
(ExPRSweb_Glucose_FGovertime-corrected_LASSOSUM_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: -0.00088 (0.00289) : 5.33e-07 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015826 PGS002945
(ExPRSweb_Glucose_FGovertime-corrected_PT_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 0.00046 (0.0029) : 4.59e-07 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015824 PGS002946
(ExPRSweb_Glucose_FGovertime-corrected_PLINK_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: -0.00035 (0.0029) : 1.98e-08 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015822 PGS002947
(ExPRSweb_Glucose_FGovertime-corrected_DBSLMM_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 0.00449 (0.00291) : 2e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015825 PGS002948
(ExPRSweb_Glucose_FGovertime-corrected_PRSCS_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: -0.00129 (0.0029) : 1.39e-06 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015828 PGS002949
(ExPRSweb_Glucose_MAGIC-FastingGlucose_LASSOSUM_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 0.084 (0.00289) : 0.00479 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015831 PGS002950
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PT_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 0.0808 (0.00289) : 0.00442 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015829 PGS002951
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PLINK_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 0.0808 (0.00289) : 0.00442 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015827 PGS002952
(ExPRSweb_Glucose_MAGIC-FastingGlucose_DBSLMM_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 0.00449 (0.00291) : 2e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015830 PGS002953
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PRSCS_UKB_20211120)
PSS010028|
European Ancestry|
173,111 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Glucose β: 0.0818 (0.00289) : 0.00451 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016175 PGS003336
(CVGRS_FPG)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Fasting plasma glucose β: 0.20444
PPM016192 PGS003336
(CVGRS_FPG)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Type 2 diabetes OR: 1.46435
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
PPM016184 PGS003345
(ALLGRS_FPG)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Fasting plasma glucose β: 0.20689
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
PPM017280 PGS003469
(LDPred2_HOMA_B)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index β: 0.002 (0.01) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017303 PGS003469
(LDPred2_HOMA_B)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea β: 0.023 (0.024) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017348 PGS003469
(LDPred2_HOMA_B)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index in obsese β: 0.025 (0.017) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017368 PGS003469
(LDPred2_HOMA_B)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea in obsese β: 0.049 (0.034) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017369 PGS003469
(LDPred2_HOMA_B)
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: -0.007 (0.035) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017396 PGS003469
(LDPred2_HOMA_B)
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: 0.041 (1.042) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017349 PGS003469
(LDPred2_HOMA_B)
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: -0.016 (0.012) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017406 PGS003469
(LDPred2_HOMA_B)
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: 1.041 (0.049) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017281 PGS003470
(LDPred2_HOMA_IR)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index β: 0.003 (0.011) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017304 PGS003470
(LDPred2_HOMA_IR)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea β: 0.006 (0.025) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
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

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
PSS000694 760 individuals African unspecified UKB
PSS000695 60 individuals East Asian UKB
PSS000696 986 individuals European Non-British White UKB
PSS000697 337 individuals South Asian UKB
PSS000698 2,208 individuals European
(British)
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
PSS010004 GLUCOSE, FASTING; Quantitative 286 individuals European MGI
PSS009208 3,930 individuals European Poland (NE Europe) UKB
PSS010005 GLUCOSE LEVEL (LOINC: 2345-7); Quantitative 20,401 individuals European MGI
PSS009219 3,591 individuals European Poland (NE Europe) UKB
PSS010729 2,950 individuals,
46.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS010028 Field ID: 30740; Quantitative 173,111 individuals European UKB
PSS010225 2,233 individuals,
45.0 % Male samples
Mean = 58.0 years
Sd = 7.1 years
European Ashkenazi UKB
PSS011242 12,948 individuals South Asian G&H
PSS011258 34,192 individuals European HUNT
PSS008762 6,326 individuals European Italy (South Europe) UKB
PSS008773 5,795 individuals European Italy (South Europe) UKB
PSS011272 86,050 individuals European UKB
PSS000813 2,129 individuals European Participants self-identifying as white MESA
PSS000814 2,002 individuals European Participants self-identifying as white MESA
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
PSS010813 3,920 individuals,
38.0 % Male samples
Mean = 54.4 years
Sd = 7.5 years
European Polish UKB
PSS010309 2,089 individuals,
37.0 % Male samples
Mean = 52.4 years
Sd = 8.0 years
African American or Afro-Caribbean Caribbean UKB
PSS008314 5,936 individuals South Asian India (South Asia) UKB
PSS008325 5,481 individuals South Asian India (South 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
PSS010897 19,078 individuals,
46.0 % Male samples
Mean = 56.8 years
Sd = 7.9 years
European white British UKB
PSS010393 1,718 individuals,
33.0 % Male samples
Mean = 52.5 years
Sd = 7.8 years
East Asian Chinese UKB
PSS007878 2,100 individuals African American or Afro-Caribbean Carribean UKB
PSS007889 2,159 individuals African American or Afro-Caribbean Carribean UKB
PSS009434 19,060 individuals European UK (+ Ireland) UKB
PSS009445 17,440 individuals European UK (+ Ireland) UKB
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls
[
  • 2,853 cases
  • , 2,744 controls
]
European Swedish ANDIS
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
PSS011364 56,192 individuals European UKB
PSS008993 3,397 individuals African unspecified Nigeria (West Africa) UKB
PSS003585 16,579 individuals African American or Afro-Caribbean 10 cohorts
  • ARIC
  • ,BioMe
  • ,CHS
  • ,FamHS
  • ,GENOA
  • ,GeneSTAR
  • ,HANDLS
  • ,JHS
  • ,MESA
  • ,WHI
PSS003586 31,669 individuals East Asian
(Japanese, Chinese, Malay, Filipino, Han Chinese)
13 cohorts
  • AASC
  • ,CAGE
  • ,CHNS
  • ,CLHNS
  • ,CRC
  • ,KARE
  • ,Living-Biobank
  • ,MESA
  • ,NHAPC
  • ,Nagahama_Study
  • ,SBCS
  • ,SMHS
  • ,SP2
PSS003587 45,038 individuals European ARIC, LifeLines, METSIM, TwinGene Additional cases and controls were obtained from Fenland-OMICS.
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
PSS003594 61,820 individuals European EPIC, InterAct, LifeLines, METSIM, WGHS
PSS009755 5,505 individuals African unspecified UKB
PSS009756 794 individuals East Asian UKB
PSS009757 37,281 individuals European Non-British European UKB
PSS009758 6,744 individuals South Asian UKB
PSS008536 1,128 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009767 4,803 individuals African unspecified UKB
PSS009768 841 individuals East Asian UKB
PSS009769 38,991 individuals European Non-British European UKB
PSS009770 6,861 individuals South Asian UKB
PSS008547 1,034 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) 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
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
PSS007151 5,651 individuals African unspecified UKB
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
PSS010185 1,115 individuals,
41.1 % Male samples
Mean = 46.18 years Hispanic or Latin American HCHS, SOL
PSS007152 1,474 individuals East Asian UKB
PSS007153 21,725 individuals European non-white British ancestry UKB
PSS007155 59,031 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007154 6,787 individuals South Asian 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)
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls
[
  • 450 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls
[
  • 1,125 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls
[
  • 1,372 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls
[
  • 1,186 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS008091 1,731 individuals East Asian China (East Asia) UKB
PSS008102 1,562 individuals East Asian China (East Asia) UKB
PSS010645 6,172 individuals,
45.0 % Male samples
Mean = 54.5 years
Sd = 8.4 years
European Italian UKB