| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004509 |
| Description |
|
Trait category |
Hematological measurement
|
| Synonyms |
3 synonyms
|
| Mapped term | NCIt:C64848 |
| Child trait(s) | 3 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000093 (hgb) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Hemoglobin concentration | hemoglobin measurement | 25,090 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000093/ScoringFiles/PGS000093.txt.gz | |
| PGS000100 (mchc) |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Mean corpuscular hemoglobin concentration | mean corpuscular hemoglobin concentration | 11,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000100/ScoringFiles/PGS000100.txt.gz | |
| PGS000127 (GS-E-EUR) |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
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 |
| PGS000168 (hgb) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Hemoglobin concentration | hemoglobin measurement | 515 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000168/ScoringFiles/PGS000168.txt.gz |
| PGS000175 (mchc) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Mean corpuscular hemoglobin concentration | mean corpuscular hemoglobin concentration | 224 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000175/ScoringFiles/PGS000175.txt.gz |
| PGS000188 (rdw) |
PGP000078 | Vuckovic D et al. Cell (2020) |
Red cell distribution width | Red cell distribution width | 546 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000188/ScoringFiles/PGS000188.txt.gz |
| PGS000304 (GRS43_HbA1c) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
HbA1c | HbA1c measurement | 43 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000304/ScoringFiles/PGS000304.txt.gz |
| PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
HbA1c [mmol/mol] | HbA1c measurement | 14,658 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000685/ScoringFiles/PGS000685.txt.gz |
| PGS001152 (GBE_INI30070) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 10,179 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001152/ScoringFiles/PGS001152.txt.gz |
| PGS001218 (GBE_INI30060) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Mean corpuscular hemoglobin concentration | mean corpuscular hemoglobin concentration | 2,359 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001218/ScoringFiles/PGS001218.txt.gz |
| PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PGP000246 | Chen J et al. Nat Genet (2021) |
Glycated haemoglobin levels (HbA1c) | HbA1c measurement | 1,018,836 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001352/ScoringFiles/PGS001352.txt.gz | |
| PGS001400 (GBE_INI30020) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Haemoglobin concentration | hemoglobin measurement | 15,602 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001400/ScoringFiles/PGS001400.txt.gz |
| PGS001908 (portability-PLR_erythrocyte_width) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Red blood cell (erythrocyte) distribution width | Red cell distribution width | 32,431 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001908/ScoringFiles/PGS001908.txt.gz |
| PGS001926 (portability-PLR_haemoglobin) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Haemoglobin concentration | hemoglobin measurement | 69,467 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001926/ScoringFiles/PGS001926.txt.gz |
| PGS001953 (portability-PLR_log_HbA1c) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Glycated haemoglobin (HbA1c) | HbA1c measurement | 46,566 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001953/ScoringFiles/PGS001953.txt.gz |
| PGS002122 (portability-ldpred2_erythrocyte_width) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Red blood cell (erythrocyte) distribution width | Red cell distribution width | 543,714 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002122/ScoringFiles/PGS002122.txt.gz |
| PGS002142 (portability-ldpred2_haemoglobin) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Haemoglobin concentration | hemoglobin measurement | 786,386 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002142/ScoringFiles/PGS002142.txt.gz |
| PGS002171 (portability-ldpred2_log_HbA1c) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Glycated haemoglobin (HbA1c) | HbA1c measurement | 736,730 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002171/ScoringFiles/PGS002171.txt.gz |
| PGS002331 (biochemistry_HbA1c.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002331/ScoringFiles/PGS002331.txt.gz |
| PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002346/ScoringFiles/PGS002346.txt.gz |
| PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 920,924 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002367/ScoringFiles/PGS002367.txt.gz |
| PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HbA1c | HbA1c measurement | 11,872 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002403/ScoringFiles/PGS002403.txt.gz |
| PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 16,996 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002418/ScoringFiles/PGS002418.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 |
| PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 36,619 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002467/ScoringFiles/PGS002467.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 |
| PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 136,154 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002516/ScoringFiles/PGS002516.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 |
| PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 7,740 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002565/ScoringFiles/PGS002565.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 |
| PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 5,543 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002614/ScoringFiles/PGS002614.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 |
| PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 340,172 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002663/ScoringFiles/PGS002663.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 |
| PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Red blood cell distribution width | Red cell distribution width | 976,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002712/ScoringFiles/PGS002712.txt.gz |
| PGS003337 (CVGRS_HbA1c) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
HbA1c | HbA1c measurement | 68 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003337/ScoringFiles/PGS003337.txt.gz |
| PGS003346 (ALLGRS_HbA1c) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
HbA1c | HbA1c measurement | 74 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003346/ScoringFiles/PGS003346.txt.gz |
| PGS003425 (prscs_hemoglobin) |
PGP000432 | Toivonen J et al. Vox Sanguinis (2023) |
Hemoglobin | hemoglobin measurement | 1,082,250 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003425/ScoringFiles/PGS003425.txt.gz | |
| PGS003468 (LDPred2_HGB) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Hemoglobin | hemoglobin measurement | 860,341 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003468/ScoringFiles/PGS003468.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 |
| PGS003503 (cont-decay-erythrocyte_width) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Red blood cell (erythrocyte) distribution width | Red cell distribution width | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003503/ScoringFiles/PGS003503.txt.gz |
| PGS003512 (cont-decay-haemoglobin) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Haemoglobin concentration | hemoglobin measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003512/ScoringFiles/PGS003512.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 |
| PGS003926 (INI30020) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Hemoglobin concentration | hemoglobin measurement | 21,078 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003926/ScoringFiles/PGS003926.txt.gz |
| PGS003930 (INI30060) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Mean corpuscular hemoglobin concentration | mean corpuscular hemoglobin concentration | 4,468 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003930/ScoringFiles/PGS003930.txt.gz |
| PGS003931 (INI30070) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Red blood cell (erythrocyte) distribution width | Red cell distribution width | 12,557 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003931/ScoringFiles/PGS003931.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 |
| PGS004347 (X30020.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Haemoglobin concentration | hemoglobin measurement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004347/ScoringFiles/PGS004347.txt.gz |
| PGS004350 (X30050.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Mean corpuscular haemoglobin | mean corpuscular hemoglobin concentration | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004350/ScoringFiles/PGS004350.txt.gz |
| PGS004351 (X30070.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Red blood cell (erythrocyte) distribution width | Red cell distribution width | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004351/ScoringFiles/PGS004351.txt.gz |
| PGS004701 (a1c_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HbA1c | HbA1c measurement | 1,107,927 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004701/ScoringFiles/PGS004701.txt.gz |
| PGS004702 (a1c_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HbA1c | HbA1c measurement | 6,652,699 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004702/ScoringFiles/PGS004702.txt.gz |
| PGS004703 (a1c_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HbA1c | HbA1c measurement | 3,872,159 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004703/ScoringFiles/PGS004703.txt.gz |
| PGS004704 (a1c_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HbA1c | HbA1c measurement | 6,652,699 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004704/ScoringFiles/PGS004704.txt.gz |
| PGS004769 (Hb_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hemoglobin | hemoglobin measurement | 584,676 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004769/ScoringFiles/PGS004769.txt.gz |
| PGS004770 (Hb_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hemoglobin | hemoglobin measurement | 3,913,042 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004770/ScoringFiles/PGS004770.txt.gz |
| PGS004825 (RDW_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Red cell distribution width | Red cell distribution width | 1,082,665 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004825/ScoringFiles/PGS004825.txt.gz |
| PGS004826 (RDW_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Red cell distribution width | Red cell distribution width | 5,175,389 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004826/ScoringFiles/PGS004826.txt.gz |
| PGS004827 (RDW_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Red cell distribution width | Red cell distribution width | 4,698,860 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004827/ScoringFiles/PGS004827.txt.gz |
| PGS004828 (RDW_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Red cell distribution width | Red cell distribution width | 5,175,389 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004828/ScoringFiles/PGS004828.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000218 | PGS000093 (hgb) |
PSS000158| European Ancestry| 81,548 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Hemoglobin concentration | — | — | Pearson correlation coefficent (r): 0.37936 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS) |
| PPM000219 | PGS000093 (hgb) |
PSS000132| European Ancestry| 40,329 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Hemoglobin concentration | — | — | Pearson correlation coefficent (r): 0.30254 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | — |
| PPM000232 | PGS000100 (mchc) |
PSS000165| European Ancestry| 81,570 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | Pearson correlation coefficent (r): 0.2805 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS) |
| PPM000233 | PGS000100 (mchc) |
PSS000139| European Ancestry| 40,265 individuals |
PGP000051 | Xu Y et al. Cell Genom (2022) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | Pearson correlation coefficent (r): 0.29105 | age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) | — |
| PPM000407 | PGS000127 (GS-E-EUR) |
PSS000236| European Ancestry| 37,357 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.0 [0.99, 1.01] | — | — | age, sex | — |
| PPM000408 | PGS000128 (GS-E-AFR) |
PSS000234| African Ancestry| 1,906 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 0.98 [0.96, 1.0] | — | — | age, sex | — |
| PPM000409 | PGS000129 (GS-E-EAS) |
PSS000235| East Asian Ancestry| 5,073 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.02 [0.99, 1.05] | — | — | age, sex | — |
| PPM000410 | PGS000130 (GS-G-EUR) |
PSS000236| European Ancestry| 37,357 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.05 [1.04, 1.06] | — | — | age, sex | — |
| PPM000411 | PGS000131 (GS-G-AFR) |
PSS000234| African Ancestry| 1,906 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.0 [0.95, 1.05] | — | — | age, sex | — |
| PPM000412 | PGS000132 (GS-G-EAS) |
PSS000235| East Asian Ancestry| 5,073 individuals |
PGP000064 | Wheeler E et al. PLoS Med (2017) |
Reported Trait: Incident type 2 diabetes | OR: 1.05 [1.02, 1.07] | — | — | age, sex | — |
| PPM001778 | PGS000168 (hgb) |
PSS000911| Greater Middle Eastern Ancestry| 13,989 individuals |
PGP000147 | Thareja G et al. Nat Commun (2021) |Ext. |
Reported Trait: Hemoglobin | — | — | Pearson correlation coefficent (r): 0.14 | — | — |
| PPM000549 | PGS000168 (hgb) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Hemoglobin concentration | — | — | R²: 0.0646 | sex, age, 10 genetic PCs | — |
| PPM000524 | PGS000168 (hgb) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Hemoglobin concentration | — | — | R²: 0.05697 | sex, age, 10 genetic PCs | — |
| PPM000551 | PGS000175 (mchc) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | R²: 0.04796 | sex, age, 10 genetic PCs | — |
| PPM000531 | PGS000175 (mchc) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | R²: 0.05159 | sex, age, 10 genetic PCs | — |
| PPM001772 | PGS000175 (mchc) |
PSS000911| Greater Middle Eastern Ancestry| 13,989 individuals |
PGP000147 | Thareja G et al. Nat Commun (2021) |Ext. |
Reported Trait: Mean cell hemoglobin concentration | — | — | Pearson correlation coefficent (r): 0.12 | — | — |
| PPM000559 | PGS000188 (rdw) |
PSS000290| European Ancestry| 2,314 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Red cell distribution width | — | — | R²: 0.07409 | sex, age, 10 genetic PCs | — |
| PPM000542 | PGS000188 (rdw) |
PSS000291| European Ancestry| 39,260 individuals |
PGP000078 | Vuckovic D et al. Cell (2020) |
Reported Trait: Red cell distribution width | — | — | R²: 0.09519 | sex, age, 10 genetic PCs | — |
| PPM000774 | PGS000304 (GRS43_HbA1c) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: HbA1c (%) | — | — | R²: 0.0283 | Sex, age, age^2 | — |
| PPM000803 | PGS000304 (GRS43_HbA1c) |
PSS000371| European Ancestry| 288 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: HbA1c (%) | — | — | R²: 0.0277 | Sex, age, age^2 | — |
| PPM001413 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000704| African Ancestry| 4,847 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.07974 Spearman's ρ: 0.132 |
Age, sex, PCs(1-40) | — |
| PPM001448 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000705| East Asian Ancestry| 1,032 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.16979 Spearman's ρ: 0.285 |
Age, sex, PCs(1-40) | — |
| PPM001483 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000706| European Ancestry| 22,518 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.17335 Spearman's ρ: 0.367 |
Age, sex, PCs(1-40) | — |
| PPM001518 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000707| South Asian Ancestry| 6,895 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.12743 Spearman's ρ: 0.268 |
Age, sex, PCs(1-40) | — |
| PPM001553 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000708| European Ancestry| 60,920 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | R²: 0.16381 Spearman's ρ: 0.375 |
Age, sex, PCs(1-40) | — |
| PPM001585 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS000817| European Ancestry| 1,995 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HbA1c [mmol/mol] | — | — | Spearman's ρ: 0.217 | Age, sex | — |
| PPM007350 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007156| African Ancestry| 5,219 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.05396 [0.04328, 0.06464] Incremental R2 (full-covars): 0.00054 PGS R2 (no covariates): 0.00619 [0.00239, 0.00998] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007351 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007157| East Asian Ancestry| 1,622 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.1264 [0.09696, 0.15583] Incremental R2 (full-covars): 0.00207 PGS R2 (no covariates): 0.04145 [0.02295, 0.05994] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007352 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007158| European Ancestry| 23,762 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.06205 [0.05625, 0.06785] Incremental R2 (full-covars): 0.00348 PGS R2 (no covariates): 0.06567 [0.05972, 0.07162] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007353 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007159| South Asian Ancestry| 7,345 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.05344 [0.04375, 0.06313] Incremental R2 (full-covars): 0.00135 PGS R2 (no covariates): 0.03576 [0.02769, 0.04383] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007354 | PGS000685 (snpnet.Glycated_haemoglobin_HbA1c) |
PSS007160| European Ancestry| 64,432 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | R²: 0.05264 [0.04936, 0.05592] Incremental R2 (full-covars): 0.00369 PGS R2 (no covariates): 0.06933 [0.06563, 0.07303] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008482 | PGS001152 (GBE_INI30070) |
PSS006941| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.02633 [0.01865, 0.03401] Incremental R2 (full-covars): 0.00466 PGS R2 (no covariates): 0.00617 [0.00238, 0.00997] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008483 | PGS001152 (GBE_INI30070) |
PSS006942| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.06947 [0.04623, 0.09271] Incremental R2 (full-covars): 0.04028 PGS R2 (no covariates): 0.04714 [0.02754, 0.06675] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008484 | PGS001152 (GBE_INI30070) |
PSS006943| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.08241 [0.07587, 0.08895] Incremental R2 (full-covars): 0.07409 PGS R2 (no covariates): 0.0754 [0.06909, 0.0817] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008485 | PGS001152 (GBE_INI30070) |
PSS006944| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.06357 [0.05312, 0.07403] Incremental R2 (full-covars): 0.04077 PGS R2 (no covariates): 0.04137 [0.03274, 0.05] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008486 | PGS001152 (GBE_INI30070) |
PSS006945| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Red blood cell distribution width | — | — | R²: 0.0852 [0.08117, 0.08923] Incremental R2 (full-covars): 0.07926 PGS R2 (no covariates): 0.07945 [0.07553, 0.08337] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008624 | PGS001218 (GBE_INI30060) |
PSS006936| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin concentration | — | — | R²: 0.01334 [0.0078, 0.01888] Incremental R2 (full-covars): 0.0007 PGS R2 (no covariates): 0.00244 [0.00004, 0.00483] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008625 | PGS001218 (GBE_INI30060) |
PSS006937| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin concentration | — | — | R²: 0.05415 [0.03329, 0.07501] Incremental R2 (full-covars): 0.01409 PGS R2 (no covariates): 0.01986 [0.00677, 0.03295] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008626 | PGS001218 (GBE_INI30060) |
PSS006938| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin concentration | — | — | R²: 0.02769 [0.02367, 0.03171] Incremental R2 (full-covars): 0.01601 PGS R2 (no covariates): 0.01701 [0.01382, 0.02019] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008627 | PGS001218 (GBE_INI30060) |
PSS006939| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin concentration | — | — | R²: 0.04592 [0.03687, 0.05498] Incremental R2 (full-covars): 0.01608 PGS R2 (no covariates): 0.01906 [0.01306, 0.02505] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008628 | PGS001218 (GBE_INI30060) |
PSS006940| European Ancestry| 65,635 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean corpuscular haemoglobin concentration | — | — | R²: 0.03753 [0.03472, 0.04035] Incremental R2 (full-covars): 0.02447 PGS R2 (no covariates): 0.02534 [0.023, 0.02768] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005139 | PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PSS003594| European Ancestry| 61,820 individuals |
PGP000246 | Chen J et al. Nat Genet (2021) |
Reported Trait: Glycated haemoglobin levels (HbA1c) | — | — | R²: 0.178 | — | — |
| PPM005142 | PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PSS003591| African Ancestry| 6,647 individuals |
PGP000246 | Chen J et al. Nat Genet (2021) |
Reported Trait: Glycated haemoglobin levels (HbA1c) | — | — | R²: 0.012 | — | — |
| PPM005145 | PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PSS003593| East Asian Ancestry| 31,236 individuals |
PGP000246 | Chen J et al. Nat Genet (2021) |
Reported Trait: Glycated haemoglobin levels (HbA1c) | — | — | R²: 0.026 | — | — |
| PPM005146 | PGS001352 (MAGICTA_EUR_PGS_HbA1c) |
PSS003592| African Ancestry| 4,441 individuals |
PGP000246 | Chen J et al. Nat Genet (2021) |
Reported Trait: Glycated haemoglobin levels (HbA1c) | — | — | R²: 0.006 | — | — |
| PPM007035 | PGS001400 (GBE_INI30020) |
PSS006901| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.38602 [0.36748, 0.40456] Incremental R2 (full-covars): 0.00491 PGS R2 (no covariates): 0.01221 [0.00691, 0.01752] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007036 | PGS001400 (GBE_INI30020) |
PSS006902| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.40783 [0.37199, 0.44367] Incremental R2 (full-covars): 0.02084 PGS R2 (no covariates): 0.01558 [0.00394, 0.02723] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007037 | PGS001400 (GBE_INI30020) |
PSS006903| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.43532 [0.42607, 0.44457] Incremental R2 (full-covars): 0.06361 PGS R2 (no covariates): 0.06382 [0.05795, 0.06969] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007038 | PGS001400 (GBE_INI30020) |
PSS006904| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.4337 [0.41719, 0.45022] Incremental R2 (full-covars): 0.02482 PGS R2 (no covariates): 0.01823 [0.01236, 0.0241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007039 | PGS001400 (GBE_INI30020) |
PSS006905| European Ancestry| 65,638 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | R²: 0.42918 [0.42353, 0.43482] Incremental R2 (full-covars): 0.06776 PGS R2 (no covariates): 0.06681 [0.06316, 0.07045] |
age, sex, UKB array type, Genotype PCs | — |
| PPM010147 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS009400| European Ancestry| 19,392 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.3342 [0.3217, 0.3467] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010148 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS009174| European Ancestry| 3,996 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.3297 [0.3017, 0.3571] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010149 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008728| European Ancestry| 6,422 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2987 [0.2762, 0.3208] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010150 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008502| Greater Middle Eastern Ancestry| 1,144 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2615 [0.2062, 0.3152] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010151 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008280| South Asian Ancestry| 6,035 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2435 [0.2196, 0.2671] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010152 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008057| East Asian Ancestry| 1,757 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2371 [0.1922, 0.281] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010154 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS008948| African Ancestry| 3,680 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.1241 [0.092, 0.1558] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010153 | PGS001908 (portability-PLR_erythrocyte_width) |
PSS007844| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.1157 [0.0753, 0.1558] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010284 | PGS001926 (portability-PLR_haemoglobin) |
PSS009186| European Ancestry| 4,001 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.3146 [0.2864, 0.3423] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010285 | PGS001926 (portability-PLR_haemoglobin) |
PSS008740| European Ancestry| 6,436 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.2911 [0.2686, 0.3134] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010286 | PGS001926 (portability-PLR_haemoglobin) |
PSS008514| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.2493 [0.1938, 0.3031] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010287 | PGS001926 (portability-PLR_haemoglobin) |
PSS008292| South Asian Ancestry| 6,077 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.2104 [0.1863, 0.2344] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010288 | PGS001926 (portability-PLR_haemoglobin) |
PSS008069| East Asian Ancestry| 1,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.208 [0.1627, 0.2525] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010289 | PGS001926 (portability-PLR_haemoglobin) |
PSS007856| African Ancestry| 2,340 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.1224 [0.0822, 0.1623] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010290 | PGS001926 (portability-PLR_haemoglobin) |
PSS008960| African Ancestry| 3,709 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.1163 [0.0844, 0.148] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010283 | PGS001926 (portability-PLR_haemoglobin) |
PSS009412| European Ancestry| 19,423 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.3431 [0.3306, 0.3555] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010500 | PGS001953 (portability-PLR_log_HbA1c) |
PSS009208| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3374 [0.3093, 0.3649] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010501 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008762| European Ancestry| 6,326 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3092 [0.2867, 0.3314] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010502 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008536| Greater Middle Eastern Ancestry| 1,128 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.329 [0.2755, 0.3806] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010503 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008314| South Asian Ancestry| 5,936 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.2406 [0.2164, 0.2644] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010504 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008091| East Asian Ancestry| 1,731 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.2506 [0.2057, 0.2945] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010505 | PGS001953 (portability-PLR_log_HbA1c) |
PSS007878| African Ancestry| 2,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.1217 [0.0792, 0.1639] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010506 | PGS001953 (portability-PLR_log_HbA1c) |
PSS008982| African Ancestry| 2,976 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.087 [0.0511, 0.1226] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010499 | PGS001953 (portability-PLR_log_HbA1c) |
PSS009434| European Ancestry| 19,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3405 [0.3279, 0.353] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011832 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS009174| European Ancestry| 3,996 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.3227 [0.2946, 0.3503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011831 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS009400| European Ancestry| 19,392 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.3341 [0.3215, 0.3465] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011833 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008728| European Ancestry| 6,422 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2938 [0.2713, 0.3161] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011834 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008502| Greater Middle Eastern Ancestry| 1,144 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2528 [0.1972, 0.3067] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011835 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008280| South Asian Ancestry| 6,035 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2424 [0.2185, 0.266] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011836 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008057| East Asian Ancestry| 1,757 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.2289 [0.1838, 0.273] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011837 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS007844| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.0986 [0.058, 0.1388] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011838 | PGS002122 (portability-ldpred2_erythrocyte_width) |
PSS008948| African Ancestry| 3,680 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | Partial Correlation (partial-r): 0.1434 [0.1115, 0.175] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011983 | PGS002142 (portability-ldpred2_haemoglobin) |
PSS009412| European Ancestry| 19,423 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.3358 [0.3233, 0.3482] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011984 | PGS002142 (portability-ldpred2_haemoglobin) |
PSS009186| European Ancestry| 4,001 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.3107 [0.2824, 0.3385] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011985 | PGS002142 (portability-ldpred2_haemoglobin) |
PSS008740| European Ancestry| 6,436 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.2912 [0.2686, 0.3134] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011986 | PGS002142 (portability-ldpred2_haemoglobin) |
PSS008514| Greater Middle Eastern Ancestry| 1,153 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.2407 [0.185, 0.2948] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011987 | PGS002142 (portability-ldpred2_haemoglobin) |
PSS008292| South Asian Ancestry| 6,077 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.2123 [0.1881, 0.2362] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011988 | PGS002142 (portability-ldpred2_haemoglobin) |
PSS008069| East Asian Ancestry| 1,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.1969 [0.1513, 0.2416] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011989 | PGS002142 (portability-ldpred2_haemoglobin) |
PSS007856| African Ancestry| 2,340 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.1241 [0.0838, 0.164] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011990 | PGS002142 (portability-ldpred2_haemoglobin) |
PSS008960| African Ancestry| 3,709 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Haemoglobin concentration | — | — | Partial Correlation (partial-r): 0.1255 [0.0936, 0.1572] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012215 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS009434| European Ancestry| 19,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3359 [0.3233, 0.3485] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012216 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS009208| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3366 [0.3085, 0.3641] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012217 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008762| European Ancestry| 6,326 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3096 [0.2871, 0.3317] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012219 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008314| South Asian Ancestry| 5,936 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.2393 [0.2152, 0.2632] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012220 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008091| East Asian Ancestry| 1,731 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.2571 [0.2123, 0.3008] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012221 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS007878| African Ancestry| 2,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.1245 [0.082, 0.1666] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012222 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008982| African Ancestry| 2,976 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.0934 [0.0575, 0.129] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012218 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS008536| Greater Middle Eastern Ancestry| 1,128 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | Partial Correlation (partial-r): 0.3222 [0.2684, 0.374] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM013243 | PGS002331 (biochemistry_HbA1c.BOLT-LMM) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0576 | age, sex, age*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 | — |
| PPM013111 | PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0257 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013160 | PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0933 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013209 | PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.1557 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013258 | PGS002346 (blood_RBC_DISTRIB_WIDTH.BOLT-LMM) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0998 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013279 | PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013302 | PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0153 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013325 | PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0014 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013348 | PGS002367 (biochemistry_HbA1c.BOLT-LMM-BBJ) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0018 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013384 | PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013433 | PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.024 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013482 | PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.033 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013531 | PGS002403 (biochemistry_HbA1c.P+T.0.0001) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0108 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013399 | PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013448 | PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0576 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013497 | PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0994 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013546 | PGS002418 (blood_RBC_DISTRIB_WIDTH.P+T.0.0001) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0649 | 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 | — |
| PPM013595 | PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013644 | PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0099 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013693 | PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0856 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013742 | PGS002467 (blood_RBC_DISTRIB_WIDTH.P+T.0.001) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0084 | 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 | — |
| PPM013791 | PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013840 | PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013889 | PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0643 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013938 | PGS002516 (blood_RBC_DISTRIB_WIDTH.P+T.0.01) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0048 | 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 | — |
| PPM013987 | PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.014 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014036 | PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0554 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014085 | PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0938 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014134 | PGS002565 (blood_RBC_DISTRIB_WIDTH.P+T.1e-06) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0644 | 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 | — |
| PPM014183 | PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0136 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014232 | PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0506 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014281 | PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0887 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014330 | PGS002614 (blood_RBC_DISTRIB_WIDTH.P+T.5e-08) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0604 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014364 | PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0239 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014413 | PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0785 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014511 | PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.064 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014462 | PGS002648 (biochemistry_HbA1c.PolyFun-pred) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1252 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014379 | PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0343 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_RBC_DISTRIB_WIDTH.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014428 | PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1048 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_RBC_DISTRIB_WIDTH.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014477 | PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1682 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_RBC_DISTRIB_WIDTH.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014526 | PGS002663 (blood_RBC_DISTRIB_WIDTH.PolyFun-pred) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1097 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See blood_RBC_DISTRIB_WIDTH.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014560 | PGS002697 (biochemistry_HbA1c.SBayesR) |
PSS009767| African Ancestry| 4,803 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0181 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014609 | PGS002697 (biochemistry_HbA1c.SBayesR) |
PSS009768| East Asian Ancestry| 841 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0677 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014658 | PGS002697 (biochemistry_HbA1c.SBayesR) |
PSS009769| European Ancestry| 38,991 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.112 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014707 | PGS002697 (biochemistry_HbA1c.SBayesR) |
PSS009770| South Asian Ancestry| 6,861 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HbA1c | — | — | Incremental R2 (full model vs. covariates alone): 0.0608 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014575 | PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PSS009827| African Ancestry| 5,990 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0314 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014624 | PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PSS009828| East Asian Ancestry| 888 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0864 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014673 | PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PSS009829| European Ancestry| 41,837 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.1461 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014722 | PGS002712 (blood_RBC_DISTRIB_WIDTH.SBayesR) |
PSS009830| South Asian Ancestry| 7,623 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Red Blood Cell Distribution Width | — | — | Incremental R2 (full model vs. covariates alone): 0.0986 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM016176 | PGS003337 (CVGRS_HbA1c) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Hemoglobin A1c level | β: 0.27528 | — | — | — | — |
| PPM016193 | PGS003337 (CVGRS_HbA1c) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Type 2 diabetes | OR: 1.35007 | — | — | — | — |
| PPM016185 | PGS003346 (ALLGRS_HbA1c) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Hemoglobin A1c level | β: 0.28295 | — | — | — | — |
| PPM017080 | PGS003425 (prscs_hemoglobin) |
PSS010117| European Ancestry| 13,780 individuals |
PGP000432 | Toivonen J et al. Vox Sanguinis (2023) |
Reported Trait: Hemoglobin levels in postmenopausal females | — | — | R²: 0.04 | — | — |
| PPM017078 | PGS003425 (prscs_hemoglobin) |
PSS010118| European Ancestry| 21,577 individuals |
PGP000432 | Toivonen J et al. Vox Sanguinis (2023) |
Reported Trait: Hemoglobin levels in males | — | — | R²: 0.07 | — | — |
| PPM017079 | PGS003425 (prscs_hemoglobin) |
PSS010116| European Ancestry| 5,403 individuals |
PGP000432 | Toivonen J et al. Vox Sanguinis (2023) |
Reported Trait: Hemoglobin levels in postmenopausal females | — | — | R²: 0.06 | — | — |
| PPM017279 | PGS003468 (LDPred2_HGB) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: -0.012 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017302 | PGS003468 (LDPred2_HGB) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.0 (0.024) | — | — | 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 | — |
| PPM017431 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010864| European Ancestry| 19,389 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017515 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010780| European Ancestry| 3,985 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017599 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010612| European Ancestry| 6,263 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017683 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010528| Greater Middle Eastern Ancestry| 1,114 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017851 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010444| South Asian Ancestry| 5,983 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017935 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010360| East Asian Ancestry| 1,744 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018019 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010276| African Ancestry| 2,315 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017767 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010192| European Ancestry| 2,258 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM018103 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010696| African Ancestry| 3,651 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017440 | PGS003512 (cont-decay-haemoglobin) |
PSS010874| European Ancestry| 19,417 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017524 | PGS003512 (cont-decay-haemoglobin) |
PSS010790| European Ancestry| 3,990 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017608 | PGS003512 (cont-decay-haemoglobin) |
PSS010622| European Ancestry| 6,277 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017692 | PGS003512 (cont-decay-haemoglobin) |
PSS010538| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017776 | PGS003512 (cont-decay-haemoglobin) |
PSS010202| European Ancestry| 2,263 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017860 | PGS003512 (cont-decay-haemoglobin) |
PSS010454| South Asian Ancestry| 6,025 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018028 | PGS003512 (cont-decay-haemoglobin) |
PSS010286| African Ancestry| 2,327 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018112 | PGS003512 (cont-decay-haemoglobin) |
PSS010706| African Ancestry| 3,680 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017944 | PGS003512 (cont-decay-haemoglobin) |
PSS010370| East Asian Ancestry| 1,749 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| 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 | — |
| PPM018949 | PGS003926 (INI30020) |
PSS011136| European Ancestry| 65,932 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Hemoglobin concentration | — | — | R²: 0.4378 [0.43219, 0.4434] PGS R2 (no covariates): 0.06821 [0.06455, 0.07188] Incremental R2 (full-covars): 0.06859 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018950 | PGS003926 (INI30020) |
PSS011109| European Ancestry| 2,813 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Hemoglobin concentration | — | — | R²: 0.46462 [0.43806, 0.49117] PGS R2 (no covariates): 0.06272 [0.04564, 0.0798] Incremental R2 (full-covars): 0.06567 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018951 | PGS003926 (INI30020) |
PSS011113| South Asian Ancestry| 1,433 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Hemoglobin concentration | — | — | R²: 0.43017 [0.39227, 0.46807] PGS R2 (no covariates): 0.02868 [0.012, 0.04536] Incremental R2 (full-covars): 0.03286 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018952 | PGS003926 (INI30020) |
PSS011155| African Ancestry| 1,157 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Hemoglobin concentration | — | — | R²: 0.40118 [0.35861, 0.44374] PGS R2 (no covariates): 0.01753 [0.00293, 0.03213] Incremental R2 (full-covars): 0.00674 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018953 | PGS003926 (INI30020) |
PSS011166| Multi-ancestry (excluding European)| 7,746 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Hemoglobin concentration | — | — | R²: 0.43523 [0.41892, 0.45155] PGS R2 (no covariates): 0.04824 [0.03908, 0.05739] Incremental R2 (full-covars): 0.0422 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018969 | PGS003930 (INI30060) |
PSS011137| European Ancestry| 65,929 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | R²: 0.03988 [0.03699, 0.04277] PGS R2 (no covariates): 0.0253 [0.02296, 0.02763] Incremental R2 (full-covars): 0.02492 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018970 | PGS003930 (INI30060) |
PSS011109| European Ancestry| 2,813 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | R²: 0.0486 [0.03333, 0.06386] PGS R2 (no covariates): 0.03186 [0.01929, 0.04444] Incremental R2 (full-covars): 0.02908 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018971 | PGS003930 (INI30060) |
PSS011113| South Asian Ancestry| 1,433 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | R²: 0.0252 [0.0095, 0.04089] PGS R2 (no covariates): 0.01719 [0.00412, 0.03026] Incremental R2 (full-covars): 0.01588 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018973 | PGS003930 (INI30060) |
PSS011166| Multi-ancestry (excluding European)| 7,746 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | R²: 0.04959 [0.04032, 0.05886] PGS R2 (no covariates): 0.02383 [0.01723, 0.03043] Incremental R2 (full-covars): 0.01421 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018972 | PGS003930 (INI30060) |
PSS011155| African Ancestry| 1,157 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Mean corpuscular hemoglobin concentration | — | — | R²: 0.01616 [0.00212, 0.03019] PGS R2 (no covariates): 0.00861 [-0.00171, 0.01894] Incremental R2 (full-covars): 0.00736 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018974 | PGS003931 (INI30070) |
PSS011136| European Ancestry| 65,932 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | R²: 0.09215 [0.088, 0.0963] PGS R2 (no covariates): 0.07947 [0.07556, 0.08338] Incremental R2 (full-covars): 0.07934 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018975 | PGS003931 (INI30070) |
PSS011109| European Ancestry| 2,813 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | R²: 0.10616 [0.08496, 0.12736] PGS R2 (no covariates): 0.08744 [0.06781, 0.10708] Incremental R2 (full-covars): 0.08479 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018976 | PGS003931 (INI30070) |
PSS011113| South Asian Ancestry| 1,433 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | R²: 0.06648 [0.04207, 0.09088] PGS R2 (no covariates): 0.05249 [0.03048, 0.07451] Incremental R2 (full-covars): 0.05172 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018977 | PGS003931 (INI30070) |
PSS011155| African Ancestry| 1,157 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | R²: 0.0264 [0.00865, 0.04415] PGS R2 (no covariates): 0.01807 [0.00326, 0.03288] Incremental R2 (full-covars): 0.01826 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018978 | PGS003931 (INI30070) |
PSS011166| Multi-ancestry (excluding European)| 7,746 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | R²: 0.08776 [0.07593, 0.09959] PGS R2 (no covariates): 0.06743 [0.05683, 0.07804] Incremental R2 (full-covars): 0.06076 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| 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 | — | — |
| PPM020462 | PGS004347 (X30020.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Haemoglobin concentration | — | — | PGS R2 (no covariates): 0.19005 | — | — |
| PPM020465 | PGS004350 (X30050.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Mean corpuscular haemoglobin | — | — | PGS R2 (no covariates): 0.31917 | — | — |
| PPM020466 | PGS004351 (X30070.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | PGS R2 (no covariates): 0.26452 | — | — |
| PPM020926 | PGS004701 (a1c_PRSmix_eur) |
PSS011478| European Ancestry| 1,543 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: A1c | — | — | Incremental R2 (Full model versus model with only covariates): 0.068 [0.044, 0.093] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020927 | PGS004702 (a1c_PRSmix_sas) |
PSS011479| South Asian Ancestry| 6,414 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: A1c | — | — | Incremental R2 (Full model versus model with only covariates): 0.053 [0.042, 0.063] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020928 | PGS004703 (a1c_PRSmixPlus_eur) |
PSS011478| European Ancestry| 1,543 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: A1c | — | — | Incremental R2 (Full model versus model with only covariates): 0.1 [0.071, 0.129] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020929 | PGS004704 (a1c_PRSmixPlus_sas) |
PSS011479| South Asian Ancestry| 6,414 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: A1c | — | — | Incremental R2 (Full model versus model with only covariates): 0.071 [0.059, 0.084] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020994 | PGS004769 (Hb_PRSmix_eur) |
PSS011466| European Ancestry| 5,325 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hemoglobin | — | — | Incremental R2 (Full model versus model with only covariates): 0.041 [0.03, 0.051] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020995 | PGS004770 (Hb_PRSmixPlus_eur) |
PSS011466| European Ancestry| 5,325 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hemoglobin | — | — | Incremental R2 (Full model versus model with only covariates): 0.044 [0.033, 0.055] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021050 | PGS004825 (RDW_PRSmix_eur) |
PSS011504| European Ancestry| 5,060 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Red cell distribution width | — | — | Incremental R2 (Full model versus model with only covariates): 0.076 [0.062, 0.09] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021051 | PGS004826 (RDW_PRSmix_sas) |
PSS011473| South Asian Ancestry| 6,847 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Red cell distribution width | — | — | Incremental R2 (Full model versus model with only covariates): 0.04 [0.031, 0.049] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021052 | PGS004827 (RDW_PRSmixPlus_eur) |
PSS011504| European Ancestry| 5,060 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Red cell distribution width | — | — | Incremental R2 (Full model versus model with only covariates): 0.093 [0.078, 0.108] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021053 | PGS004828 (RDW_PRSmixPlus_sas) |
PSS011473| South Asian Ancestry| 6,847 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Red cell distribution width | — | — | Incremental R2 (Full model versus model with only covariates): 0.047 [0.037, 0.056] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS009174 | — | — | 3,996 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000704 | — | — | 4,847 individuals | — | African unspecified | — | UKB | — |
| PSS000705 | — | — | 1,032 individuals | — | East Asian | — | UKB | — |
| PSS000706 | — | — | 22,518 individuals | — | European | Non-British White | UKB | — |
| PSS000707 | — | — | 6,895 individuals | — | South Asian | — | UKB | — |
| PSS000708 | — | — | 60,920 individuals | — | European (British) |
— | UKB | — |
| PSS009186 | — | — | 4,001 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000290 | — | — | 2,314 individuals | — | European (French Canadian) |
— | CARTaGENE | — |
| PSS000291 | — | — | 39,260 individuals | — | European | — | INTERVAL | — |
| PSS010696 | — | — | 3,651 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010192 | — | — | 2,258 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS009208 | — | — | 3,930 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010706 | — | — | 3,680 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010202 | — | — | 2,263 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS000132 | — | — | 40,329 individuals, 49.0 % Male samples |
Mean = 43.84 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS000139 | — | — | 40,265 individuals, 50.0 % Male samples |
Mean = 43.83 years Range = [18.0, 76.4] years |
European | — | INTERVAL | — |
| PSS010729 | — | — | 2,950 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010225 | — | — | 2,233 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS008728 | — | — | 6,422 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS000158 | — | — | 81,548 individuals, 46.0 % Male samples |
Mean = 57.23 years Range = [40.16, 72.91] years |
European | — | UKB | — |
| PSS008740 | — | — | 6,436 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS000165 | — | — | 81,570 individuals, 46.0 % Male samples |
Mean = 57.27 years Range = [39.98, 70.7] years |
European | — | UKB | — |
| PSS010874 | — | — | 19,417 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS011242 | — | — | 12,948 individuals | — | South Asian | — | G&H | — |
| PSS011258 | — | — | 34,192 individuals | — | European | — | HUNT | — |
| PSS008762 | — | — | 6,326 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010780 | — | — | 3,985 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS011272 | — | — | 86,050 individuals | — | European | — | UKB | — |
| PSS010276 | — | — | 2,315 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010790 | — | — | 3,990 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS000817 | — | — | 1,995 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS011286 | — | — | 8,748 individuals | — | South Asian | — | UKB | — |
| PSS010286 | — | — | 2,327 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010055 | — | — | 22,608 individuals | — | East Asian | — | KBA, KoGES | — |
| PSS008280 | — | — | 6,035 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011466 | — | — | 5,325 individuals | — | European | — | AllofUs | — |
| PSS011473 | — | — | 6,847 individuals | — | South Asian | — | G&H | — |
| PSS010813 | — | — | 3,920 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS008292 | — | — | 6,077 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011478 | — | — | 1,543 individuals | — | European | — | AllofUs | — |
| PSS011479 | — | — | 6,414 individuals | — | South Asian | — | G&H | — |
| PSS010309 | — | — | 2,089 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS008314 | — | — | 5,936 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS006901 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
| PSS006902 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
| PSS006903 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006904 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
| PSS006905 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011504 | — | — | 5,060 individuals | — | European | — | AllofUs | — |
| PSS010864 | — | — | 19,389 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS000234 | Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes | Range = [10.0, 15.0] years | [ ,
37.93 % Male samples |
Mean = 57.4 years Sd = 7.43 years |
African unspecified | — | ARIC, MESA | Partial overlap with discovery GWAS |
| PSS000235 | Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes | Range = [10.0, 15.0] years | [ ,
47.45 % Male samples |
Mean = 55.6 years Sd = 7.37 years |
East Asian | — | MESA, SCHS | Partial overlap with discovery GWAS |
| PSS000236 | Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes | Range = [10.0, 15.0] years | [ ,
43.47 % Male samples |
Mean = 54.63 years Sd = 8.27 years |
European | — | ARIC, FHS, InterAct, MESA | Partial overlap with discovery GWAS |
| PSS010360 | — | — | 1,744 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS006936 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
| PSS006937 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
| PSS006938 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006939 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
| PSS006940 | — | — | 65,635 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006941 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
| PSS006942 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
| PSS006943 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006944 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
| PSS006945 | — | — | 65,638 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007844 | — | — | 2,328 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010370 | — | — | 1,749 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS011109 | — | — | 2,813 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011113 | — | — | 1,433 individuals | — | South Asian | — | UKB | — |
| PSS007856 | — | — | 2,340 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010897 | — | — | 19,078 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS009400 | — | — | 19,392 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010393 | — | — | 1,718 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS011136 | — | — | 65,932 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011137 | — | — | 65,929 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS009412 | — | — | 19,423 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS007878 | — | — | 2,100 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011155 | — | — | 1,157 individuals | — | African unspecified | — | UKB | — |
| PSS009434 | — | — | 19,060 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011166 | — | — | 7,746 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS010116 | — | — | 5,403 individuals, 0.0 % Male samples |
— | European (British) |
— | INTERVAL | — |
| PSS010117 | — | — | 13,780 individuals, 0.0 % Male samples |
— | European (British) |
— | INTERVAL | — |
| PSS010118 | — | — | 21,577 individuals, 100.0 % Male samples |
— | European (British) |
— | INTERVAL | — |
| PSS010444 | — | — | 5,983 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS000911 | — | — | 13,989 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS008948 | — | — | 3,680 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010454 | — | — | 6,025 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS008960 | — | — | 3,709 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010477 | — | — | 5,884 individuals, 54.0 % Male samples |
Mean = 53.4 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS008982 | — | — | 2,976 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS008502 | — | — | 1,144 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS003591 | — | — | 6,647 individuals | — | African American or Afro-Caribbean | — | ARIC, BioMe, HANDLS, JHS, MESA | — |
| PSS008514 | — | — | 1,153 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS003592 | — | — | 4,441 individuals | — | Sub-Saharan African (Ugandan) |
— | NR | — |
| PSS003594 | — | — | 61,820 individuals | — | European | — | EPIC, InterAct, LifeLines, METSIM, WGHS | — |
| PSS003593 | — | — | 31,236 individuals | — | East Asian (Japanese, Chinese, Malay, Han Chinese) |
— | 15 cohorts
|
— |
| PSS010528 | — | — | 1,114 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010538 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | 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 | — |
| 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 |
| 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 | — |
| PSS008057 | — | — | 1,757 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS, SOL | — |
| PSS007156 | — | — | 5,219 individuals | — | African unspecified | — | UKB | — |
| PSS007157 | — | — | 1,622 individuals | — | East Asian | — | UKB | — |
| PSS007158 | — | — | 23,762 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007159 | — | — | 7,345 individuals | — | South Asian | — | UKB | — |
| PSS007160 | — | — | 64,432 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008069 | — | — | 1,762 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010612 | — | — | 6,263 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS009827 | — | — | 5,990 individuals | — | African unspecified | — | UKB | — |
| PSS009828 | — | — | 888 individuals | — | East Asian | — | UKB | — |
| PSS009829 | — | — | 41,837 individuals | — | European | Non-British European | UKB | — |
| PSS009830 | — | — | 7,623 individuals | — | South Asian | — | UKB | — |
| PSS008091 | — | — | 1,731 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010622 | — | — | 6,277 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010645 | — | — | 6,172 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |