| Trait Information | |
| Identifier | OBA_VT0005416 |
| Description | The amount of a protein when measured in blood. [AUTO: patterns/patterns/entity_attribute_location] | Trait category |
Other measurement
|
| Synonyms |
3 synonyms
|
| Child trait(s) | 5 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) |
|---|---|---|---|---|---|---|
| PGS000217 (ADM) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Adrenomedullin (ADM) serum levels | blood protein amount | 552,254 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000217/ScoringFiles/PGS000217.txt.gz |
| PGS000218 (AGRP) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Agouti-related protein (AGRP) serum levels | blood protein amount | 552,121 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000218/ScoringFiles/PGS000218.txt.gz |
| PGS000219 (CA-125) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Ovarian cancer-related tumor marker CA 125 (CA-125) serum levels | blood protein amount | 553,819 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000219/ScoringFiles/PGS000219.txt.gz |
| PGS000220 (CCL20) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
C-C motif chemokine 20 (CCL20) serum levels | blood protein amount | 551,989 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000220/ScoringFiles/PGS000220.txt.gz |
| PGS000221 (CCL3) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
C-C motif chemokine 3 (CCL3) serum levels | blood protein amount | 552,347 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000221/ScoringFiles/PGS000221.txt.gz |
| PGS000222 (CCL4) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
C-C motif chemokine 4 (CCL4) serum levels | blood protein amount | 552,214 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000222/ScoringFiles/PGS000222.txt.gz |
| PGS000223 (CD40) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Tumor necrosis factor receptor superfamily member 5 (CD40) serum levels | blood protein amount | 552,187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000223/ScoringFiles/PGS000223.txt.gz |
| PGS000224 (CHI3L1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Chitinase-3-like protein 1 (CHI3L1) serum levels | blood protein amount | 552,106 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000224/ScoringFiles/PGS000224.txt.gz |
| PGS000225 (CSF-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Macrophage colony-stimulating factor 1 (CSF-1) serum levels | blood protein amount | 552,163 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000225/ScoringFiles/PGS000225.txt.gz |
| PGS000226 (CSTB) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Cystatin-B (CSTB) serum levels | blood protein amount | 552,195 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000226/ScoringFiles/PGS000226.txt.gz |
| PGS000227 (CTSD) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Cathepsin D (CTSD) serum levels | blood protein amount | 552,134 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000227/ScoringFiles/PGS000227.txt.gz |
| PGS000228 (CTSL1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Cathepsin L1 (CTSL1) serum levels | blood protein amount | 552,084 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000228/ScoringFiles/PGS000228.txt.gz |
| PGS000229 (CX3CL1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Fractalkine (CX3CL1) serum levels | blood protein amount | 552,274 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000229/ScoringFiles/PGS000229.txt.gz |
| PGS000230 (CXCL1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
C-X-C motif chemokine 1 (CXCL1) serum levels | blood protein amount | 552,234 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000230/ScoringFiles/PGS000230.txt.gz |
| PGS000231 (CXCL16) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
C-X-C motif chemokine 16 (CXCL16) serum levels | blood protein amount | 552,241 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000231/ScoringFiles/PGS000231.txt.gz |
| PGS000232 (CXCL6) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
C-X-C motif chemokine 6 (CXCL6) serum levels | blood protein amount | 552,061 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000232/ScoringFiles/PGS000232.txt.gz |
| PGS000233 (Dkk-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Dickkopf-related protein 1 (Dkk-1) serum levels | blood protein amount | 552,067 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000233/ScoringFiles/PGS000233.txt.gz |
| PGS000234 (ECP) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Eosinophil cationic protein (ECP) serum levels | blood protein amount | 553,046 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000234/ScoringFiles/PGS000234.txt.gz |
| PGS000235 (EGF) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Epidermal growth factor (EGF) serum levels | blood protein amount | 553,163 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000235/ScoringFiles/PGS000235.txt.gz |
| PGS000236 (ESM-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Endothelial cell-specific molecule 1 (ESM-1) serum levels | blood protein amount | 553,240 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000236/ScoringFiles/PGS000236.txt.gz |
| PGS000237 (FABP4) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Fatty acid-binding protein, adipocyte (FABP4) serum levels | blood protein amount | 552,343 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000237/ScoringFiles/PGS000237.txt.gz |
| PGS000238 (FAS) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Tumor necrosis factor receptor superfamily member 6 (FAS) serum levels | blood protein amount | 552,335 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000238/ScoringFiles/PGS000238.txt.gz |
| PGS000239 (FGF-23) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Fibroblast growth factor 23 (FGF-23) serum levels | blood protein amount | 552,100 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000239/ScoringFiles/PGS000239.txt.gz |
| PGS000240 (FS) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Follistatin (FS) serum levels | blood protein amount | 552,138 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000240/ScoringFiles/PGS000240.txt.gz |
| PGS000241 (GAL) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Galanin peptides (GAL) serum levels | blood protein amount | 553,548 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000241/ScoringFiles/PGS000241.txt.gz |
| PGS000242 (Gal-3) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Galectin-3 (Gal-3) serum levels | blood protein amount | 552,282 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000242/ScoringFiles/PGS000242.txt.gz |
| PGS000243 (GDF-15) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Growth/differentiation factor 15 (GDF-15) serum levels | blood protein amount | 552,228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000243/ScoringFiles/PGS000243.txt.gz |
| PGS000244 (GH) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Growth hormone (GH) serum levels | blood protein amount | 552,236 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000244/ScoringFiles/PGS000244.txt.gz |
| PGS000245 (HB-EGF) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Proheparin-binding EGF-like growth factor (HB-EGF) serum levels | blood protein amount | 552,108 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000245/ScoringFiles/PGS000245.txt.gz |
| PGS000246 (HGF) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Hepatocyte growth factor (HGF) serum levels | blood protein amount | 552,104 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000246/ScoringFiles/PGS000246.txt.gz |
| PGS000247 (hK11) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Kallikrein-11 (hK11) serum levels | blood protein amount | 553,239 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000247/ScoringFiles/PGS000247.txt.gz |
| PGS000248 (HSP_27) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Heat shock 27 kDa protein (HSP_27) serum levels | blood protein amount | 552,212 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000248/ScoringFiles/PGS000248.txt.gz |
| PGS000249 (IL-18) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Interleukin-18 (IL-18) serum levels | blood protein amount | 552,186 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000249/ScoringFiles/PGS000249.txt.gz |
| PGS000250 (IL-1ra) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Interleukin-1 receptor antagonist protein (IL-1ra) serum levels | blood protein amount | 551,917 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000250/ScoringFiles/PGS000250.txt.gz |
| PGS000251 (IL-27) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Interleukin-27 (IL-27) serum levels | blood protein amount | 552,026 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000251/ScoringFiles/PGS000251.txt.gz |
| PGS000252 (IL-6) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Interleukin-6 (IL-6) serum levels | blood protein amount | 552,426 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000252/ScoringFiles/PGS000252.txt.gz |
| PGS000253 (IL-6RA) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Interleukin-6 receptor subunit alpha (IL-6RA) serum levels | blood protein amount | 552,132 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000253/ScoringFiles/PGS000253.txt.gz |
| PGS000254 (IL-8) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Interleukin-8 (IL-8) serum levels | blood protein amount | 551,990 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000254/ScoringFiles/PGS000254.txt.gz |
| PGS000255 (IL16) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Pro-interleukin-16 (IL16) serum levels | blood protein amount | 551,884 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000255/ScoringFiles/PGS000255.txt.gz |
| PGS000256 (ITGB1BP2) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Melusin (ITGB1BP2) serum levels | blood protein amount | 552,423 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000256/ScoringFiles/PGS000256.txt.gz |
| PGS000257 (KIM-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Kidney injury molecule 1 (KIM-1) serum levels | blood protein amount | 552,062 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000257/ScoringFiles/PGS000257.txt.gz |
| PGS000258 (KLK6) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Kallikrein-6 (KLK6) serum levels | blood protein amount | 552,053 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000258/ScoringFiles/PGS000258.txt.gz |
| PGS000259 (LEP) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Leptin (LEP) serum levels | blood protein amount | 552,110 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000259/ScoringFiles/PGS000259.txt.gz |
| PGS000260 (LOX-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Lectin-like oxidized LDL receptor 1 (LOX-1) serum levels | blood protein amount | 552,045 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000260/ScoringFiles/PGS000260.txt.gz |
| PGS000261 (mAmP) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Membrane-bound aminopeptidase P (mAmP) serum levels | blood protein amount | 553,070 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000261/ScoringFiles/PGS000261.txt.gz |
| PGS000262 (MB) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Myoglobin (MB) serum levels | blood protein amount | 552,171 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000262/ScoringFiles/PGS000262.txt.gz |
| PGS000263 (MCP-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Monocyte chemotactic protein 1 (MCP-1) serum levels | blood protein amount | 552,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000263/ScoringFiles/PGS000263.txt.gz |
| PGS000264 (MMP-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Matrix metalloproteinase-1 (MMP-1) serum levels | blood protein amount | 552,116 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000264/ScoringFiles/PGS000264.txt.gz |
| PGS000265 (MMP-10) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Matrix metalloproteinase-10 (MMP-10) serum levels | blood protein amount | 552,072 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000265/ScoringFiles/PGS000265.txt.gz |
| PGS000266 (MMP-12) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Matrix metalloproteinase-12 (MMP-12) serum levels | blood protein amount | 552,021 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000266/ScoringFiles/PGS000266.txt.gz |
| PGS000267 (MMP-3) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Matrix metalloproteinase-3 (MMP-3) serum levels | blood protein amount | 552,328 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000267/ScoringFiles/PGS000267.txt.gz |
| PGS000268 (MMP-7) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Matrix metalloproteinase-7 (MMP-7) serum levels | blood protein amount | 552,052 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000268/ScoringFiles/PGS000268.txt.gz |
| PGS000269 (MPO) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Myeloperoxidase (MPO) serum levels | blood protein amount | 552,278 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000269/ScoringFiles/PGS000269.txt.gz |
| PGS000270 (NT-pro_BNP) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
N-terminal prohormone brain natriuretic peptide (NT-pro_BNP) serum levels | blood protein amount | 554,137 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000270/ScoringFiles/PGS000270.txt.gz |
| PGS000271 (OPG) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Osteoprotegerin (OPG) serum levels | blood protein amount | 552,205 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000271/ScoringFiles/PGS000271.txt.gz |
| PGS000272 (PAPPA) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Pappalysin-1 (PAPPA) serum levels | blood protein amount | 552,298 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000272/ScoringFiles/PGS000272.txt.gz |
| PGS000273 (PAR-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Proteinase-activated receptor 1 (PAR-1) serum levels | blood protein amount | 552,202 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000273/ScoringFiles/PGS000273.txt.gz |
| PGS000274 (PDGF_subunit_B) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Platelet-derived growth factor subunit B (PDGF_subunit_B) serum levels | blood protein amount | 552,265 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000274/ScoringFiles/PGS000274.txt.gz |
| PGS000275 (PECAM-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Platelet endothelial cell adhesion molecule (PECAM-1) serum levels | blood protein amount | 552,010 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000275/ScoringFiles/PGS000275.txt.gz |
| PGS000276 (PlGF) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Placenta growth factor (PlGF) serum levels | blood protein amount | 552,275 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000276/ScoringFiles/PGS000276.txt.gz |
| PGS000277 (PSGL-1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
P-selectin glycoprotein ligand 1 (PSGL-1) serum levels | blood protein amount | 552,165 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000277/ScoringFiles/PGS000277.txt.gz |
| PGS000278 (PTX3) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Pentraxin-related protein PTX3 (PTX3) serum levels | blood protein amount | 552,474 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000278/ScoringFiles/PGS000278.txt.gz |
| PGS000279 (RAGE) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Receptor for advanced glycosylation end products (RAGE) serum levels | blood protein amount | 552,298 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000279/ScoringFiles/PGS000279.txt.gz |
| PGS000280 (REN) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Renin (REN) serum levels | blood protein amount | 552,078 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000280/ScoringFiles/PGS000280.txt.gz |
| PGS000281 (RETN) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Resistin (RETN) serum levels | blood protein amount | 552,002 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000281/ScoringFiles/PGS000281.txt.gz |
| PGS000282 (SCF) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Stem cell factor (SCF) serum levels | blood protein amount | 552,420 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000282/ScoringFiles/PGS000282.txt.gz |
| PGS000283 (SPON1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Spondin-1 (SPON1) serum levels | blood protein amount | 552,703 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000283/ScoringFiles/PGS000283.txt.gz |
| PGS000284 (ST2) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
ST2 protein (ST2) serum levels | blood protein amount | 552,006 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000284/ScoringFiles/PGS000284.txt.gz |
| PGS000285 (TF) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Tissue factor (TF) serum levels | blood protein amount | 552,228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000285/ScoringFiles/PGS000285.txt.gz |
| PGS000286 (TM) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Thrombomodulin (TM) serum levels | blood protein amount | 552,241 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000286/ScoringFiles/PGS000286.txt.gz |
| PGS000287 (TNF-R1) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Tumor necrosis factor receptor 1 (TNF-R1) serum levels | blood protein amount | 552,317 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000287/ScoringFiles/PGS000287.txt.gz |
| PGS000288 (TNF-R2) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Tumor necrosis factor receptor 2 (TNF-R2) serum levels | blood protein amount | 552,185 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000288/ScoringFiles/PGS000288.txt.gz |
| PGS000289 (TNFSF14) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Tumor necrosis factor ligand superfamily member 14 (TNFSF14) serum levels | blood protein amount | 552,048 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000289/ScoringFiles/PGS000289.txt.gz |
| PGS000290 (TRAIL) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
TNF-related apoptosis-inducing ligand (TRAIL) serum levels | blood protein amount | 552,279 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000290/ScoringFiles/PGS000290.txt.gz |
| PGS000291 (TRAIL-R2) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
TNF-related apoptosis-inducing ligand receptor 2 (TRAIL-R2) serum levels | blood protein amount | 552,198 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000291/ScoringFiles/PGS000291.txt.gz |
| PGS000292 (TRANCE) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
TNF-related activation-induced cytokine (TRANCE) serum levels | blood protein amount | 552,090 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000292/ScoringFiles/PGS000292.txt.gz |
| PGS000293 (U-PAR) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Urokinase plasminogen activator surface receptor (U-PAR) serum levels | blood protein amount | 552,048 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000293/ScoringFiles/PGS000293.txt.gz |
| PGS000294 (VEGF-A) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Vascular endothelial growth factor A (VEGF-A) serum levels | blood protein amount | 552,070 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000294/ScoringFiles/PGS000294.txt.gz |
| PGS000295 (VEGF-D) |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Vascular endothelial growth factor D (VEGF-D) serum levels | blood protein amount | 551,905 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000295/ScoringFiles/PGS000295.txt.gz |
| PGS000315 (GRS7_lgE) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Immunoglobulin E (IgE) | serum IgE amount | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000315/ScoringFiles/PGS000315.txt.gz |
| PGS000668 (snpnet.Alanine_aminotransferase) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Alanine aminotransferase [U/L] | serum alanine aminotransferase amount | 12,076 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000668/ScoringFiles/PGS000668.txt.gz |
| PGS000669 (snpnet.Albumin) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Albumin [g/L] | serum albumin amount | 11,912 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000669/ScoringFiles/PGS000669.txt.gz |
| PGS000691 (snpnet.Non_albumin_protein) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Non-albumin protein [g/L] | amount of serum globulin type protein | 18,670 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000691/ScoringFiles/PGS000691.txt.gz |
| PGS000816 (GRS150_ALT) |
PGP000201 | Pazoki R et al. Nat Commun (2021) |
Alanine transaminase | serum alanine aminotransferase amount | 150 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000816/ScoringFiles/PGS000816.txt.gz | |
| PGS001081 (GBE_INI23027) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
JC VP1 antigen for Human Polyomavirus JCV | blood protein amount | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001081/ScoringFiles/PGS001081.txt.gz |
| PGS001082 (GBE_INI23028) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
MC VP1 antigen for Merkel Cell Polyomavirus | blood protein amount | 143 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001082/ScoringFiles/PGS001082.txt.gz |
| PGS001407 (GBE_INI23022) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
HTLV-1 gag antigen for Human T-Lymphotropic Virus 1 | blood protein amount | 66 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001407/ScoringFiles/PGS001407.txt.gz |
| PGS001772 (GBE_INI23005) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
ZEBRA antigen for Epstein-Barr Virus | blood immunoglobulin amount | 158 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001772/ScoringFiles/PGS001772.txt.gz |
| PGS001886 (portability-PLR_albumin) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Albumin | serum albumin amount | 60,423 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001886/ScoringFiles/PGS001886.txt.gz |
| PGS001940 (portability-PLR_log_ALT) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Alanine aminotransferase | serum alanine aminotransferase amount | 51,849 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001940/ScoringFiles/PGS001940.txt.gz |
| PGS002099 (portability-ldpred2_albumin) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Albumin | serum albumin amount | 816,264 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002099/ScoringFiles/PGS002099.txt.gz |
| PGS002158 (portability-ldpred2_log_ALT) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Alanine aminotransferase | serum alanine aminotransferase amount | 774,274 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002158/ScoringFiles/PGS002158.txt.gz |
| PGS002732 (GRS_77) |
PGP000341 | Vujkovic M et al. Nat Genet (2022) |
Chronic elevation of alanine aminotransferase | serum alanine aminotransferase amount | 77 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002732/ScoringFiles/PGS002732.txt.gz |
| PGS003342 (CVGRS_ALT) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Alanine aminotransferase level | serum alanine aminotransferase amount | 51 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003342/ScoringFiles/PGS003342.txt.gz |
| PGS003351 (ALLGRS_ALT) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Alanine aminotransferase level | serum alanine aminotransferase amount | 57 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003351/ScoringFiles/PGS003351.txt.gz |
| PGS003522 (cont-decay-log_ALT) |
PGP000457 | Ding Y et al. Nature (2023) |
Alanine aminotransferase | serum alanine aminotransferase amount | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003522/ScoringFiles/PGS003522.txt.gz |
| PGS004328 (X30600.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Albumin | serum albumin amount | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004328/ScoringFiles/PGS004328.txt.gz |
| PGS004329 (X30620.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Alanine aminotransferase (U/L) | serum alanine aminotransferase amount | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004329/ScoringFiles/PGS004329.txt.gz |
| PGS004707 (Albumin_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Albumin | serum albumin amount | 589,303 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004707/ScoringFiles/PGS004707.txt.gz |
| PGS004708 (Albumin_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Albumin | serum albumin amount | 2,071,924 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004708/ScoringFiles/PGS004708.txt.gz |
| PGS004709 (Albumin_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Albumin | serum albumin amount | 2,659,200 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004709/ScoringFiles/PGS004709.txt.gz |
| PGS004710 (Albumin_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Albumin | serum albumin amount | 2,071,924 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004710/ScoringFiles/PGS004710.txt.gz |
| PGS004715 (ALT_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Alanine aminotransferase | serum alanine aminotransferase amount | 559,731 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004715/ScoringFiles/PGS004715.txt.gz |
| PGS004716 (ALT_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Alanine aminotransferase | serum alanine aminotransferase amount | 2,283,693 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004716/ScoringFiles/PGS004716.txt.gz |
| PGS004717 (ALT_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Alanine aminotransferase | serum alanine aminotransferase amount | 1,051,633 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004717/ScoringFiles/PGS004717.txt.gz |
| PGS004718 (ALT_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Alanine aminotransferase | serum alanine aminotransferase amount | 2,283,693 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004718/ScoringFiles/PGS004718.txt.gz |
| PGS019789 (TPMI_ALT_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Serum glutamate pyruvate transaminase | serum alanine aminotransferase amount | 15,260 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019789/ScoringFiles/PGS019789.txt.gz | |
| PGS019813 (TPMI_ALT_LDPred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Serum glutamate pyruvate transaminase | serum alanine aminotransferase amount | 939,836 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019813/ScoringFiles/PGS019813.txt.gz | |
| PGS019837 (TPMI_ALT_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Serum glutamate pyruvate transaminase | serum alanine aminotransferase amount | 983,787 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019837/ScoringFiles/PGS019837.txt.gz | |
| PGS019861 (TPMI_ALT_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Serum glutamate pyruvate transaminase | serum alanine aminotransferase amount | 143,622 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019861/ScoringFiles/PGS019861.txt.gz | |
| PGS019885 (TPMI_ALT_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Serum glutamate pyruvate transaminase | serum alanine aminotransferase amount | 367,008 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019885/ScoringFiles/PGS019885.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000689 | PGS000217 (ADM) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Adrenomedullin (ADM) serum levels | — | — | R²: 0.07313 R² difference (PGS+covariates vs. covariates only): 0.01413 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039201 | PGS000217 (ADM) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.00943 | — | — | — | — |
| PPM000674 | PGS000218 (AGRP) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Agouti-related protein (AGRP) serum levels | — | — | R²: 0.0215 R² difference (PGS+covariates vs. covariates only): 0.0075 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000687 | PGS000219 (CA-125) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Ovarian cancer-related tumor marker CA 125 (CA-125) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.01315 R²: 0.02315 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000685 | PGS000220 (CCL20) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: C-C motif chemokine 20 (CCL20) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.01158 R²: 0.02158 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039019 | PGS000220 (CCL20) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01195 | — | — | — | — |
| PPM000726 | PGS000221 (CCL3) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: C-C motif chemokine 3 (CCL3) serum levels | — | — | R²: 0.10469 R² difference (PGS+covariates vs. covariates only): 0.05869 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM038979 | PGS000221 (CCL3) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01254 | — | — | — | — |
| PPM000736 | PGS000222 (CCL4) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: C-C motif chemokine 4 (CCL4) serum levels | — | — | R²: 0.13833 R² difference (PGS+covariates vs. covariates only): 0.11033 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM038935 | PGS000222 (CCL4) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.01363 | — | — | — | — |
| PPM000717 | PGS000223 (CD40) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Tumor necrosis factor receptor superfamily member 5 (CD40) serum levels | — | — | R²: 0.04728 R² difference (PGS+covariates vs. covariates only): 0.04528 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000729 | PGS000224 (CHI3L1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Chitinase-3-like protein 1 (CHI3L1) serum levels | — | — | R²: 0.15424 R² difference (PGS+covariates vs. covariates only): 0.07924 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000669 | PGS000225 (CSF-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Macrophage colony-stimulating factor 1 (CSF-1) serum levels | — | — | R²: 0.01849 R² difference (PGS+covariates vs. covariates only): 0.00549 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000734 | PGS000226 (CSTB) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Cystatin-B (CSTB) serum levels | — | — | R²: 0.14472 R² difference (PGS+covariates vs. covariates only): 0.10072 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000695 | PGS000227 (CTSD) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Cathepsin D (CTSD) serum levels | — | — | R²: 0.09886 R² difference (PGS+covariates vs. covariates only): 0.01786 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000712 | PGS000228 (CTSL1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Cathepsin L1 (CTSL1) serum levels | — | — | R²: 0.09752 R² difference (PGS+covariates vs. covariates only): 0.03852 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000703 | PGS000229 (CX3CL1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Fractalkine (CX3CL1) serum levels | — | — | R²: 0.03603 R² difference (PGS+covariates vs. covariates only): 0.02403 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039166 | PGS000229 (CX3CL1) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.00967 | — | — | — | — |
| PPM000730 | PGS000230 (CXCL1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: C-X-C motif chemokine 1 (CXCL1) serum levels | — | — | R²: 0.08781 R² difference (PGS+covariates vs. covariates only): 0.07981 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000691 | PGS000231 (CXCL16) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: C-X-C motif chemokine 16 (CXCL16) serum levels | — | — | R²: 0.01734 R² difference (PGS+covariates vs. covariates only): 0.01434 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039252 | PGS000231 (CXCL16) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00892 | — | — | — | — |
| PPM000740 | PGS000232 (CXCL6) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: C-X-C motif chemokine 6 (CXCL6) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.1496 R²: 0.1536 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000698 | PGS000233 (Dkk-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Dickkopf-related protein 1 (Dkk-1) serum levels | — | — | R²: 0.02226 R² difference (PGS+covariates vs. covariates only): 0.01926 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000697 | PGS000234 (ECP) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Eosinophil cationic protein (ECP) serum levels | — | — | R²: 0.023 R² difference (PGS+covariates vs. covariates only): 0.019 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000680 | PGS000235 (EGF) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Epidermal growth factor (EGF) serum levels | — | — | R²: 0.01262 R² difference (PGS+covariates vs. covariates only): 0.00962 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000679 | PGS000236 (ESM-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Endothelial cell-specific molecule 1 (ESM-1) serum levels | — | — | R²: 0.03924 R² difference (PGS+covariates vs. covariates only): 0.00924 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000677 | PGS000237 (FABP4) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Fatty acid-binding protein, adipocyte (FABP4) serum levels | — | — | R²: 0.14804 R² difference (PGS+covariates vs. covariates only): 0.00804 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM038893 | PGS000237 (FABP4) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01527 | — | — | — | — |
| PPM000704 | PGS000238 (FAS) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Tumor necrosis factor receptor superfamily member 6 (FAS) serum levels | — | — | R²: 0.08826 R² difference (PGS+covariates vs. covariates only): 0.02626 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000692 | PGS000239 (FGF-23) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Fibroblast growth factor 23 (FGF-23) serum levels | — | — | R²: 0.01903 R² difference (PGS+covariates vs. covariates only): 0.01503 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000684 | PGS000240 (FS) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Follistatin (FS) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.01152 R²: 0.05152 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000707 | PGS000241 (GAL) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Galanin peptides (GAL) serum levels | — | — | R²: 0.07696 R² difference (PGS+covariates vs. covariates only): 0.02796 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000721 | PGS000242 (Gal-3) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Galectin-3 (Gal-3) serum levels | — | — | R²: 0.11502 R² difference (PGS+covariates vs. covariates only): 0.05002 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000718 | PGS000243 (GDF-15) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Growth/differentiation factor 15 (GDF-15) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.04577 R²: 0.19577 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039037 | PGS000243 (GDF-15) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01185 | — | — | — | — |
| PPM000665 | PGS000244 (GH) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Growth hormone (GH) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.00246 R²: 0.32546 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000670 | PGS000245 (HB-EGF) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Proheparin-binding EGF-like growth factor (HB-EGF) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.00607 R²: 0.00807 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000686 | PGS000246 (HGF) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Hepatocyte growth factor (HGF) serum levels | — | — | R²: 0.0741 R² difference (PGS+covariates vs. covariates only): 0.0131 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM038812 | PGS000246 (HGF) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01648 | — | — | — | — |
| PPM000693 | PGS000247 (hK11) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Kallikrein-11 (hK11) serum levels | — | — | R²: 0.03621 R² difference (PGS+covariates vs. covariates only): 0.01721 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000735 | PGS000248 (HSP_27) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Heat shock 27 kDa protein (HSP_27) serum levels | — | — | R²: 0.10996 R² difference (PGS+covariates vs. covariates only): 0.10196 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000711 | PGS000249 (IL-18) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Interleukin-18 (IL-18) serum levels | — | — | R²: 0.08863 R² difference (PGS+covariates vs. covariates only): 0.03763 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000714 | PGS000250 (IL-1ra) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Interleukin-1 receptor antagonist protein (IL-1ra) serum levels | — | — | R²: 0.05359 R² difference (PGS+covariates vs. covariates only): 0.03959 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000733 | PGS000251 (IL-27) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Interleukin-27 (IL-27) serum levels | — | — | R²: 0.11711 R² difference (PGS+covariates vs. covariates only): 0.09911 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000675 | PGS000252 (IL-6) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Interleukin-6 (IL-6) serum levels | — | — | R²: 0.01995 R² difference (PGS+covariates vs. covariates only): 0.00795 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039159 | PGS000252 (IL-6) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00992 | — | — | — | — |
| PPM000742 | PGS000253 (IL-6RA) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Interleukin-6 receptor subunit alpha (IL-6RA) serum levels | — | — | R²: 0.31718 R² difference (PGS+covariates vs. covariates only): 0.28118 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039232 | PGS000253 (IL-6RA) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00922 | — | — | — | — |
| PPM000666 | PGS000254 (IL-8) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Interleukin-8 (IL-8) serum levels | — | — | R²: 0.03298 R² difference (PGS+covariates vs. covariates only): 0.00298 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039239 | PGS000254 (IL-8) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00897 | — | — | — | — |
| PPM000737 | PGS000255 (IL16) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Pro-interleukin-16 (IL16) serum levels | — | — | R²: 0.1446 R² difference (PGS+covariates vs. covariates only): 0.1136 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000667 | PGS000256 (ITGB1BP2) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Melusin (ITGB1BP2) serum levels | — | — | R²: 0.00624 R² difference (PGS+covariates vs. covariates only): 0.00324 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000739 | PGS000257 (KIM-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Kidney injury molecule 1 (KIM-1) serum levels | — | — | R²: 0.22579 R² difference (PGS+covariates vs. covariates only): 0.13579 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039238 | PGS000257 (KIM-1) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00887 | — | — | — | — |
| PPM000696 | PGS000258 (KLK6) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Kallikrein-6 (KLK6) serum levels | — | — | R²: 0.03607 R² difference (PGS+covariates vs. covariates only): 0.01807 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000672 | PGS000259 (LEP) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Leptin (LEP) serum levels | — | — | R²: 0.32983 R² difference (PGS+covariates vs. covariates only): 0.00683 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039197 | PGS000259 (LEP) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00952 | — | — | — | — |
| PPM000681 | PGS000260 (LOX-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Lectin-like oxidized LDL receptor 1 (LOX-1) serum levels | — | — | R²: 0.01745 R² difference (PGS+covariates vs. covariates only): 0.01045 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039086 | PGS000260 (LOX-1) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01098 | — | — | — | — |
| PPM000694 | PGS000261 (mAmP) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Membrane-bound aminopeptidase P (mAmP) serum levels | — | — | R²: 0.02085 R² difference (PGS+covariates vs. covariates only): 0.01785 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000683 | PGS000262 (MB) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Myoglobin (MB) serum levels | — | — | R²: 0.14211 R² difference (PGS+covariates vs. covariates only): 0.01111 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000702 | PGS000263 (MCP-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Monocyte chemotactic protein 1 (MCP-1) serum levels | — | — | R²: 0.04833 R² difference (PGS+covariates vs. covariates only): 0.02333 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000738 | PGS000264 (MMP-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Matrix metalloproteinase-1 (MMP-1) serum levels | — | — | R²: 0.2112 R² difference (PGS+covariates vs. covariates only): 0.1192 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000722 | PGS000265 (MMP-10) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Matrix metalloproteinase-10 (MMP-10) serum levels | — | — | R²: 0.0618 R² difference (PGS+covariates vs. covariates only): 0.0518 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000731 | PGS000266 (MMP-12) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Matrix metalloproteinase-12 (MMP-12) serum levels | — | — | R²: 0.08867 R² difference (PGS+covariates vs. covariates only): 0.08867 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000728 | PGS000267 (MMP-3) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Matrix metalloproteinase-3 (MMP-3) serum levels | — | — | R²: 0.40253 R² difference (PGS+covariates vs. covariates only): 0.06753 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000701 | PGS000268 (MMP-7) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Matrix metalloproteinase-7 (MMP-7) serum levels | — | — | R²: 0.0571 R² difference (PGS+covariates vs. covariates only): 0.0221 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000719 | PGS000269 (MPO) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Myeloperoxidase (MPO) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.04865 R²: 0.05565 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM038787 | PGS000269 (MPO) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01705 | — | — | — | — |
| PPM000664 | PGS000270 (NT-pro_BNP) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: N-terminal prohormone brain natriuretic peptide (NT-pro_BNP) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.00108 R²: 0.07108 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000699 | PGS000271 (OPG) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Osteoprotegerin (OPG) serum levels | — | — | R²: 0.09428 R² difference (PGS+covariates vs. covariates only): 0.02128 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000720 | PGS000272 (PAPPA) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Pappalysin-1 (PAPPA) serum levels | — | — | R²: 0.14698 R² difference (PGS+covariates vs. covariates only): 0.04998 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039260 | PGS000272 (PAPPA) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00874 | — | — | — | — |
| PPM000678 | PGS000273 (PAR-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Proteinase-activated receptor 1 (PAR-1) serum levels | — | — | R²: 0.01206 R² difference (PGS+covariates vs. covariates only): 0.00906 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM038810 | PGS000273 (PAR-1) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.01665 | — | — | — | — |
| PPM000668 | PGS000274 (PDGF_subunit_B) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Platelet-derived growth factor subunit B (PDGF_subunit_B) serum levels | — | — | R²: 0.00734 R² difference (PGS+covariates vs. covariates only): 0.00434 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000725 | PGS000275 (PECAM-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Platelet endothelial cell adhesion molecule (PECAM-1) serum levels | — | — | R²: 0.07059 R² difference (PGS+covariates vs. covariates only): 0.05759 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039285 | PGS000275 (PECAM-1) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00937 | — | — | — | — |
| PPM000671 | PGS000276 (PlGF) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Placenta growth factor (PlGF) serum levels | — | — | R²: 0.09579 R² difference (PGS+covariates vs. covariates only): 0.00679 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039223 | PGS000276 (PlGF) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01011 | — | — | — | — |
| PPM000682 | PGS000277 (PSGL-1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: P-selectin glycoprotein ligand 1 (PSGL-1) serum levels | — | — | R²: 0.01086 R² difference (PGS+covariates vs. covariates only): 0.01086 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000708 | PGS000278 (PTX3) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Pentraxin-related protein PTX3 (PTX3) serum levels | — | — | R²: 0.03012 R² difference (PGS+covariates vs. covariates only): 0.02812 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000705 | PGS000279 (RAGE) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Receptor for advanced glycosylation end products (RAGE) serum levels | — | — | R²: 0.04312 R² difference (PGS+covariates vs. covariates only): 0.02712 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000673 | PGS000280 (REN) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Renin (REN) serum levels | — | — | R²: 0.08537 R² difference (PGS+covariates vs. covariates only): 0.00737 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000709 | PGS000281 (RETN) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Resistin (RETN) serum levels | — | — | R²: 0.04427 R² difference (PGS+covariates vs. covariates only): 0.03327 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039274 | PGS000281 (RETN) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00909 | — | — | — | — |
| PPM000723 | PGS000282 (SCF) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Stem cell factor (SCF) serum levels | — | — | R²: 0.05956 R² difference (PGS+covariates vs. covariates only): 0.05256 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000706 | PGS000283 (SPON1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Spondin-1 (SPON1) serum levels | — | — | R²: 0.06873 R² difference (PGS+covariates vs. covariates only): 0.02773 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039071 | PGS000283 (SPON1) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01122 | — | — | — | — |
| PPM000741 | PGS000284 (ST2) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: ST2 protein (ST2) serum levels | — | — | R²: 0.32939 R² difference (PGS+covariates vs. covariates only): 0.19039 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000727 | PGS000285 (TF) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Tissue factor (TF) serum levels | — | — | R²: 0.10251 R² difference (PGS+covariates vs. covariates only): 0.06551 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000710 | PGS000286 (TM) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Thrombomodulin (TM) serum levels | — | — | R²: 0.08819 R² difference (PGS+covariates vs. covariates only): 0.03619 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000676 | PGS000287 (TNF-R1) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Tumor necrosis factor receptor 1 (TNF-R1) serum levels | — | — | R²: 0.06801 R² difference (PGS+covariates vs. covariates only): 0.00801 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000688 | PGS000288 (TNF-R2) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Tumor necrosis factor receptor 2 (TNF-R2) serum levels | — | — | R²: 0.05136 R² difference (PGS+covariates vs. covariates only): 0.01336 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000713 | PGS000289 (TNFSF14) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Tumor necrosis factor ligand superfamily member 14 (TNFSF14) serum levels | — | — | R²: 0.04311 R² difference (PGS+covariates vs. covariates only): 0.03911 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM039236 | PGS000289 (TNFSF14) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.00926 | — | — | — | — |
| PPM000724 | PGS000290 (TRAIL) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: TNF-related apoptosis-inducing ligand (TRAIL) serum levels | — | — | R²: 0.11259 R² difference (PGS+covariates vs. covariates only): 0.05259 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000716 | PGS000291 (TRAIL-R2) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: TNF-related apoptosis-inducing ligand receptor 2 (TRAIL-R2) serum levels | — | — | R² difference (PGS+covariates vs. covariates only): 0.04464 R²: 0.05164 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000715 | PGS000292 (TRANCE) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: TNF-related activation-induced cytokine (TRANCE) serum levels | — | — | R²: 0.0487 R² difference (PGS+covariates vs. covariates only): 0.0427 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000690 | PGS000293 (U-PAR) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Urokinase plasminogen activator surface receptor (U-PAR) serum levels | — | — | R²: 0.03628 R² difference (PGS+covariates vs. covariates only): 0.01428 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000732 | PGS000294 (VEGF-A) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Vascular endothelial growth factor A (VEGF-A) serum levels | — | — | R²: 0.10967 R² difference (PGS+covariates vs. covariates only): 0.08967 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM038868 | PGS000294 (VEGF-A) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01633 | — | — | — | — |
| PPM000700 | PGS000295 (VEGF-D) |
PSS000364| European Ancestry| 4,678 individuals |
PGP000089 | Folkersen L et al. Nat Metab (2020) |
Reported Trait: Vascular endothelial growth factor D (VEGF-D) serum levels | — | — | R²: 0.0429 R² difference (PGS+covariates vs. covariates only): 0.0219 |
age + sex + 10 genetic PCs | The main manuscript further reports scores divided into genome-wide significant loci (major loci) and remaining polygenic loci, but this performance metric just reports the sum of both. |
| PPM000785 | PGS000315 (GRS7_lgE) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Immunoglobulin E (kU/I) | — | — | R²: 0.0206 | Sex, age | — |
| PPM001466 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS000624| European Ancestry| 23,569 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alanine aminotransferase [U/L] | — | — | R²: 0.2041 Spearman's ρ: 0.22 |
Age, sex, PCs(1-40) | — |
| PPM001501 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS000625| South Asian Ancestry| 7,325 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alanine aminotransferase [U/L] | — | — | R²: 0.18304 Spearman's ρ: 0.198 |
Age, sex, PCs(1-40) | — |
| PPM001536 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS000626| European Ancestry| 63,766 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alanine aminotransferase [U/L] | — | — | R²: 0.19165 Spearman's ρ: 0.244 |
Age, sex, PCs(1-40) | — |
| PPM001396 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS000622| African Ancestry| 6,017 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alanine aminotransferase [U/L] | — | — | R²: 0.17646 Spearman's ρ: 0.092 |
Age, sex, PCs(1-40) | — |
| PPM001431 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS000623| East Asian Ancestry| 1,081 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alanine aminotransferase [U/L] | — | — | R²: 0.1561 Spearman's ρ: 0.145 |
Age, sex, PCs(1-40) | — |
| PPM007267 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS007078| European Ancestry| 23,758 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Alanine aminotransferase | — | — | R²: 0.07978 [0.07332, 0.08623] Incremental R2 (full-covars): 0.00218 PGS R2 (no covariates): 0.03 [0.02583, 0.03418] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007265 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS007076| African Ancestry| 6,099 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Alanine aminotransferase | — | — | R²: 0.0977 [0.084, 0.11141] Incremental R2 (full-covars): 0.00077 PGS R2 (no covariates): 0.00447 [0.00124, 0.00771] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007266 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS007077| East Asian Ancestry| 1,615 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Alanine aminotransferase | — | — | R²: 0.08994 [0.06408, 0.11581] Incremental R2 (full-covars): 0.00177 PGS R2 (no covariates): 0.02382 [0.00954, 0.03809] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007268 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS007079| South Asian Ancestry| 7,414 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Alanine aminotransferase | — | — | R²: 0.08504 [0.07323, 0.09685] Incremental R2 (full-covars): 0.00213 PGS R2 (no covariates): 0.02862 [0.02135, 0.0359] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007269 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS007080| European Ancestry| 64,440 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Alanine aminotransferase | — | — | R²: 0.06901 [0.06532, 0.0727] Incremental R2 (full-covars): 0.00284 PGS R2 (no covariates): 0.03994 [0.03705, 0.04284] |
age, sex, UKB array type, Genotype PCs | — |
| PPM038753 | PGS000668 (snpnet.Alanine_aminotransferase) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01835 | — | — | — | — |
| PPM001397 | PGS000669 (snpnet.Albumin) |
PSS000627| African Ancestry| 5,573 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Albumin [g/L] | — | — | R²: 0.10081 Spearman's ρ: 0.121 |
Age, sex, PCs(1-40) | — |
| PPM001432 | PGS000669 (snpnet.Albumin) |
PSS000628| East Asian Ancestry| 984 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Albumin [g/L] | — | — | R²: 0.08916 Spearman's ρ: 0.198 |
Age, sex, PCs(1-40) | — |
| PPM001467 | PGS000669 (snpnet.Albumin) |
PSS000629| European Ancestry| 21,516 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Albumin [g/L] | — | — | R²: 0.13257 Spearman's ρ: 0.25 |
Age, sex, PCs(1-40) | — |
| PPM001502 | PGS000669 (snpnet.Albumin) |
PSS000630| South Asian Ancestry| 6,687 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Albumin [g/L] | — | — | R²: 0.15158 Spearman's ρ: 0.216 |
Age, sex, PCs(1-40) | — |
| PPM001537 | PGS000669 (snpnet.Albumin) |
PSS000631| European Ancestry| 58,196 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Albumin [g/L] | — | — | R²: 0.13054 Spearman's ρ: 0.262 |
Age, sex, PCs(1-40) | — |
| PPM007271 | PGS000669 (snpnet.Albumin) |
PSS007067| East Asian Ancestry| 1,472 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Albumin | — | — | R²: 0.02049 [0.0072, 0.03378] Incremental R2 (full-covars): 0.00193 PGS R2 (no covariates): 0.05108 [0.03075, 0.0714] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007270 | PGS000669 (snpnet.Albumin) |
PSS007066| African Ancestry| 5,658 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Albumin | — | — | R²: 0.07255 [0.06041, 0.08469] Incremental R2 (full-covars): 0.00087 PGS R2 (no covariates): 0.01339 [0.00784, 0.01894] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007272 | PGS000669 (snpnet.Albumin) |
PSS007068| European Ancestry| 21,759 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Albumin | — | — | R²: 0.04362 [0.03866, 0.04859] Incremental R2 (full-covars): 0.00252 PGS R2 (no covariates): 0.0618 [0.05601, 0.06759] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007273 | PGS000669 (snpnet.Albumin) |
PSS007069| South Asian Ancestry| 6,786 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Albumin | — | — | R²: 0.0904 [0.07829, 0.10251] Incremental R2 (full-covars): 0.00198 PGS R2 (no covariates): 0.04739 [0.03821, 0.05657] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007274 | PGS000669 (snpnet.Albumin) |
PSS007070| European Ancestry| 59,097 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Albumin | — | — | R²: 0.03793 [0.0351, 0.04076] Incremental R2 (full-covars): 0.00267 PGS R2 (no covariates): 0.06779 [0.06413, 0.07145] |
age, sex, UKB array type, Genotype PCs | — |
| PPM039136 | PGS000669 (snpnet.Albumin) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.01021 | — | — | — | — |
| PPM001419 | PGS000691 (snpnet.Non_albumin_protein) |
PSS000729| African Ancestry| 5,573 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.07146 Spearman's ρ: 0.16 |
Age, sex, PCs(1-40) | — |
| PPM001454 | PGS000691 (snpnet.Non_albumin_protein) |
PSS000730| East Asian Ancestry| 984 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.0886 Spearman's ρ: 0.216 |
Age, sex, PCs(1-40) | — |
| PPM001489 | PGS000691 (snpnet.Non_albumin_protein) |
PSS000731| European Ancestry| 21,516 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.12839 Spearman's ρ: 0.31 |
Age, sex, PCs(1-40) | — |
| PPM001524 | PGS000691 (snpnet.Non_albumin_protein) |
PSS000732| South Asian Ancestry| 6,687 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.15158 Spearman's ρ: 0.292 |
Age, sex, PCs(1-40) | — |
| PPM001559 | PGS000691 (snpnet.Non_albumin_protein) |
PSS000733| European Ancestry| 58,196 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Non-albumin protein [g/L] | — | — | R²: 0.12321 Spearman's ρ: 0.311 |
Age, sex, PCs(1-40) | — |
| PPM007380 | PGS000691 (snpnet.Non_albumin_protein) |
PSS006916| African Ancestry| 5,573 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Non-albumin protein | — | — | R²: 0.02946 [0.02136, 0.03756] Incremental R2 (full-covars): 0.02412 PGS R2 (no covariates): 0.02397 [0.01663, 0.03132] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007381 | PGS000691 (snpnet.Non_albumin_protein) |
PSS006917| East Asian Ancestry| 1,436 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Non-albumin protein | — | — | R²: 0.09152 [0.06547, 0.11756] Incremental R2 (full-covars): 0.05716 PGS R2 (no covariates): 0.06672 [0.04387, 0.08956] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007382 | PGS000691 (snpnet.Non_albumin_protein) |
PSS006918| European Ancestry| 21,514 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Non-albumin protein | — | — | R²: 0.09985 [0.09278, 0.10691] Incremental R2 (full-covars): 0.09891 PGS R2 (no covariates): 0.09939 [0.09234, 0.10644] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007383 | PGS000691 (snpnet.Non_albumin_protein) |
PSS006919| South Asian Ancestry| 6,643 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Non-albumin protein | — | — | R²: 0.09351 [0.08124, 0.10578] Incremental R2 (full-covars): 0.08375 PGS R2 (no covariates): 0.08889 [0.07686, 0.10091] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007384 | PGS000691 (snpnet.Non_albumin_protein) |
PSS006920| European Ancestry| 58,191 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Non-albumin protein | — | — | R²: 0.10006 [0.09577, 0.10436] Incremental R2 (full-covars): 0.10006 PGS R2 (no covariates): 0.10018 [0.09588, 0.10448] |
age, sex, UKB array type, Genotype PCs | — |
| PPM002176 | PGS000816 (GRS150_ALT) |
PSS001062| European Ancestry| 3,620 individuals |
PGP000201 | Pazoki R et al. Nat Commun (2021) |
Reported Trait: Serum alanine transaminase level | OR: 1.72 [1.36, 2.07] | — | — | — | — |
| PPM002173 | PGS000816 (GRS150_ALT) |
PSS001060| European Ancestry| 331 individuals |
PGP000201 | Pazoki R et al. Nat Commun (2021) |
Reported Trait: Serum alanine transaminase level | β: 3.09 [2.02, 4.17] | — | — | — | Unit of measurement = U/L in alanine transaminase |
| PPM008163 | PGS001081 (GBE_INI23027) |
PSS005026| African Ancestry| 119 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: JC VP1 antigen for Human Polyomavirus JCV | — | — | R²: 0.12869 [0.11349, 0.14388] Incremental R2 (full-covars): 0.01063 PGS R2 (no covariates): 0.01501 [0.00914, 0.02087] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008164 | PGS001081 (GBE_INI23027) |
PSS005027| East Asian Ancestry| 41 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: JC VP1 antigen for Human Polyomavirus JCV | — | — | R²: 0.29085 [0.2546, 0.32709] Incremental R2 (full-covars): 0.00221 PGS R2 (no covariates): 0.02124 [0.00772, 0.03476] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008165 | PGS001081 (GBE_INI23027) |
PSS005028| European Ancestry| 471 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: JC VP1 antigen for Human Polyomavirus JCV | — | — | R²: 0.06173 [0.05594, 0.06752] Incremental R2 (full-covars): 0.03591 PGS R2 (no covariates): 0.03303 [0.02867, 0.0374] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008166 | PGS001081 (GBE_INI23027) |
PSS005029| South Asian Ancestry| 164 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: JC VP1 antigen for Human Polyomavirus JCV | — | — | R²: 0.13865 [0.12444, 0.15285] Incremental R2 (full-covars): 0.02165 PGS R2 (no covariates): 0.02983 [0.02241, 0.03725] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008167 | PGS001081 (GBE_INI23027) |
PSS005030| European Ancestry| 1,275 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: JC VP1 antigen for Human Polyomavirus JCV | — | — | R²: 0.03787 [0.03505, 0.0407] Incremental R2 (full-covars): 0.03172 PGS R2 (no covariates): 0.03585 [0.0331, 0.03861] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008168 | PGS001082 (GBE_INI23028) |
PSS005031| African Ancestry| 119 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: MC VP1 antigen for Merkel Cell Polyomavirus | — | — | R²: 0.10713 [0.09292, 0.12133] Incremental R2 (full-covars): -0.0241 PGS R2 (no covariates): 0.00153 [-0.00037, 0.00343] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008169 | PGS001082 (GBE_INI23028) |
PSS005032| East Asian Ancestry| 41 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: MC VP1 antigen for Merkel Cell Polyomavirus | — | — | R²: 0.39043 [0.35434, 0.42653] Incremental R2 (full-covars): -0.00937 PGS R2 (no covariates): 0.00795 [-0.00043, 0.01633] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008170 | PGS001082 (GBE_INI23028) |
PSS005033| European Ancestry| 471 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: MC VP1 antigen for Merkel Cell Polyomavirus | — | — | R²: 0.09403 [0.08713, 0.10093] Incremental R2 (full-covars): 0.06025 PGS R2 (no covariates): 0.08198 [0.07546, 0.08851] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008171 | PGS001082 (GBE_INI23028) |
PSS005034| South Asian Ancestry| 164 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: MC VP1 antigen for Merkel Cell Polyomavirus | — | — | R²: 0.08623 [0.07435, 0.09811] Incremental R2 (full-covars): 0.01085 PGS R2 (no covariates): 0.00773 [0.00387, 0.0116] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008172 | PGS001082 (GBE_INI23028) |
PSS005035| European Ancestry| 1,275 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: MC VP1 antigen for Merkel Cell Polyomavirus | — | — | R²: 0.05319 [0.04989, 0.05648] Incremental R2 (full-covars): 0.04747 PGS R2 (no covariates): 0.04937 [0.04618, 0.05256] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005345 | PGS001407 (GBE_INI23022) |
PSS005021| African Ancestry| 119 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: HTLV-1 gag antigen for Human T-Lymphotropic Virus 1 | — | — | R²: 0.18173 [0.16477, 0.19868] Incremental R2 (full-covars): 0.00586 PGS R2 (no covariates): 0.02091 [0.01403, 0.02779] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005346 | PGS001407 (GBE_INI23022) |
PSS005022| East Asian Ancestry| 41 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: HTLV-1 gag antigen for Human T-Lymphotropic Virus 1 | — | — | R²: 0.22757 [0.19265, 0.26249] Incremental R2 (full-covars): 0.01155 PGS R2 (no covariates): 0.00849 [-0.00017, 0.01714] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005347 | PGS001407 (GBE_INI23022) |
PSS005023| European Ancestry| 471 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: HTLV-1 gag antigen for Human T-Lymphotropic Virus 1 | — | — | R²: 0.08759 [0.08088, 0.0943] Incremental R2 (full-covars): 0.02612 PGS R2 (no covariates): 0.03168 [0.0274, 0.03596] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005348 | PGS001407 (GBE_INI23022) |
PSS005024| South Asian Ancestry| 164 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: HTLV-1 gag antigen for Human T-Lymphotropic Virus 1 | — | — | Incremental R2 (full-covars): 0.0038 R²: 0.22286 [0.20661, 0.2391] PGS R2 (no covariates): 0.01447 [0.00922, 0.01972] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005349 | PGS001407 (GBE_INI23022) |
PSS005025| European Ancestry| 1,275 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: HTLV-1 gag antigen for Human T-Lymphotropic Virus 1 | — | — | R²: 0.03666 [0.03387, 0.03944] Incremental R2 (full-covars): 0.01644 PGS R2 (no covariates): 0.01753 [0.01557, 0.0195] |
age, sex, UKB array type, Genotype PCs | — |
| PPM039230 | PGS001407 (GBE_INI23022) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.00891 | — | — | — | — |
| PPM005340 | PGS001772 (GBE_INI23005) |
PSS005016| African Ancestry| 119 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: ZEBRA antigen for Epstein-Barr Virus | — | — | R²: 0.13241 [0.11706, 0.14775] Incremental R2 (full-covars): 0.0307 PGS R2 (no covariates): 0.04734 [0.03727, 0.05742] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005341 | PGS001772 (GBE_INI23005) |
PSS005017| East Asian Ancestry| 41 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: ZEBRA antigen for Epstein-Barr Virus | — | — | R²: 0.42791 [0.39244, 0.46337] Incremental R2 (full-covars): 0.00179 PGS R2 (no covariates): 0.02952 [0.01372, 0.04533] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005342 | PGS001772 (GBE_INI23005) |
PSS005018| European Ancestry| 471 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: ZEBRA antigen for Epstein-Barr Virus | — | — | R²: 0.07688 [0.07052, 0.08324] Incremental R2 (full-covars): 0.02635 PGS R2 (no covariates): 0.02765 [0.02363, 0.03166] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005343 | PGS001772 (GBE_INI23005) |
PSS005019| South Asian Ancestry| 164 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: ZEBRA antigen for Epstein-Barr Virus | — | — | R²: 0.15445 [0.13974, 0.16917] Incremental R2 (full-covars): -0.01516 PGS R2 (no covariates): 0.00397 [0.00119, 0.00675] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005344 | PGS001772 (GBE_INI23005) |
PSS005020| European Ancestry| 1,275 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: ZEBRA antigen for Epstein-Barr Virus | — | — | R²: 0.05788 [0.05445, 0.0613] Incremental R2 (full-covars): 0.03995 PGS R2 (no covariates): 0.03909 [0.03622, 0.04196] |
age, sex, UKB array type, Genotype PCs | — |
| PPM039025 | PGS001772 (GBE_INI23005) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01181 | — | — | — | — |
| PPM009972 | PGS001886 (portability-PLR_albumin) |
PSS009382| European Ancestry| 17,457 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2949 [0.2813, 0.3084] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009973 | PGS001886 (portability-PLR_albumin) |
PSS009156| European Ancestry| 3,593 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2758 [0.2452, 0.3058] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009974 | PGS001886 (portability-PLR_albumin) |
PSS008710| European Ancestry| 5,803 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2722 [0.2482, 0.2959] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009975 | PGS001886 (portability-PLR_albumin) |
PSS008484| Greater Middle Eastern Ancestry| 1,036 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2704 [0.2124, 0.3264] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009976 | PGS001886 (portability-PLR_albumin) |
PSS008262| South Asian Ancestry| 5,478 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2714 [0.2467, 0.2958] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009977 | PGS001886 (portability-PLR_albumin) |
PSS008040| East Asian Ancestry| 1,560 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.226 [0.178, 0.2729] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009978 | PGS001886 (portability-PLR_albumin) |
PSS007826| African Ancestry| 2,159 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.1475 [0.1058, 0.1887] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009979 | PGS001886 (portability-PLR_albumin) |
PSS008930| African Ancestry| 3,401 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.1407 [0.1075, 0.1736] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM038813 | PGS001886 (portability-PLR_albumin) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.01647 | — | — | — | — |
| PPM010396 | PGS001940 (portability-PLR_log_ALT) |
PSS009201| European Ancestry| 3,950 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.2328 [0.203, 0.2622] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010397 | PGS001940 (portability-PLR_log_ALT) |
PSS008755| European Ancestry| 6,321 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.2248 [0.2012, 0.2481] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010399 | PGS001940 (portability-PLR_log_ALT) |
PSS008307| South Asian Ancestry| 5,992 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.2205 [0.1963, 0.2445] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010400 | PGS001940 (portability-PLR_log_ALT) |
PSS008084| East Asian Ancestry| 1,716 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.1841 [0.1377, 0.2297] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010401 | PGS001940 (portability-PLR_log_ALT) |
PSS007871| African Ancestry| 2,345 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.1008 [0.0604, 0.1409] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010402 | PGS001940 (portability-PLR_log_ALT) |
PSS008975| African Ancestry| 3,656 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.1054 [0.0731, 0.1374] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010395 | PGS001940 (portability-PLR_log_ALT) |
PSS009427| European Ancestry| 18,995 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.2633 [0.25, 0.2765] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010398 | PGS001940 (portability-PLR_log_ALT) |
PSS008529| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.1871 [0.1295, 0.2435] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM038771 | PGS001940 (portability-PLR_log_ALT) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01765 | — | — | — | — |
| PPM011648 | PGS002099 (portability-ldpred2_albumin) |
PSS009382| European Ancestry| 17,457 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.289 [0.2754, 0.3026] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011649 | PGS002099 (portability-ldpred2_albumin) |
PSS009156| European Ancestry| 3,593 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2771 [0.2465, 0.3071] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011650 | PGS002099 (portability-ldpred2_albumin) |
PSS008710| European Ancestry| 5,803 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2717 [0.2476, 0.2954] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011651 | PGS002099 (portability-ldpred2_albumin) |
PSS008484| Greater Middle Eastern Ancestry| 1,036 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2567 [0.1983, 0.3132] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011652 | PGS002099 (portability-ldpred2_albumin) |
PSS008262| South Asian Ancestry| 5,478 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.265 [0.2402, 0.2895] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011653 | PGS002099 (portability-ldpred2_albumin) |
PSS008040| East Asian Ancestry| 1,560 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.2305 [0.1827, 0.2773] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011654 | PGS002099 (portability-ldpred2_albumin) |
PSS007826| African Ancestry| 2,159 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.1481 [0.1063, 0.1893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011655 | PGS002099 (portability-ldpred2_albumin) |
PSS008930| African Ancestry| 3,401 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Albumin | — | — | Partial Correlation (partial-r): 0.1569 [0.1238, 0.1896] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM038798 | PGS002099 (portability-ldpred2_albumin) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.01701 | — | — | — | — |
| PPM012112 | PGS002158 (portability-ldpred2_log_ALT) |
PSS009201| European Ancestry| 3,950 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.2355 [0.2058, 0.2648] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012111 | PGS002158 (portability-ldpred2_log_ALT) |
PSS009427| European Ancestry| 18,995 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.2622 [0.2489, 0.2754] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012113 | PGS002158 (portability-ldpred2_log_ALT) |
PSS008755| European Ancestry| 6,321 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.2258 [0.2022, 0.2491] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012114 | PGS002158 (portability-ldpred2_log_ALT) |
PSS008529| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.1997 [0.1423, 0.2557] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012115 | PGS002158 (portability-ldpred2_log_ALT) |
PSS008307| South Asian Ancestry| 5,992 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.2086 [0.1842, 0.2328] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012116 | PGS002158 (portability-ldpred2_log_ALT) |
PSS008084| East Asian Ancestry| 1,716 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.194 [0.1478, 0.2394] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012117 | PGS002158 (portability-ldpred2_log_ALT) |
PSS007871| African Ancestry| 2,345 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.1063 [0.0659, 0.1463] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012118 | PGS002158 (portability-ldpred2_log_ALT) |
PSS008975| African Ancestry| 3,656 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Alanine aminotransferase | — | — | Partial Correlation (partial-r): 0.088 [0.0557, 0.1202] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM038777 | PGS002158 (portability-ldpred2_log_ALT) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01742 | — | — | — | — |
| PPM014820 | PGS002732 (GRS_77) |
PSS009901| Multi-ancestry (including European)| 45,007 individuals |
PGP000341 | Vujkovic M et al. Nat Genet (2022) |
Reported Trait: Non-alcoholic fatty liver disease | — | — | Risk difference: 0.604 [0.418, 0.79] | age, gender, 3-5 ancestry PCs | — |
| PPM022311 | PGS002732 (GRS_77) |
PSS011911| Multi-ancestry (including European)| 48,603 individuals |
PGP000701 | Loesch DP et al. Nat Commun (2025) |Ext. |
Reported Trait: non-alcoholic fattly liver disease | OR: 1.31 [1.21, 1.41] | — | — | age, age^2, sex, UKB centre, array, genetic PCS 1-20 | — |
| PPM022322 | PGS002732 (GRS_77) |
PSS011912| European Ancestry| 45,356 individuals |
PGP000701 | Loesch DP et al. Nat Commun (2025) |Ext. |
Reported Trait: non-alcoholic fattly liver disease | OR: 1.31 [1.21, 1.42] | — | — | age, age^2, sex, UKB centre, array, genetic PCS 1-20 | — |
| PPM016181 | PGS003342 (CVGRS_ALT) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Alanine aminotransferase level | β: 0.1213 | — | — | — | — |
| PPM016198 | PGS003342 (CVGRS_ALT) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Type 2 diabetes | OR: 1.04754 | — | — | — | — |
| PPM016190 | PGS003351 (ALLGRS_ALT) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Alanine aminotransferase level | β: 0.16161 | — | — | — | — |
| PPM017450 | PGS003522 (cont-decay-log_ALT) |
PSS010885| European Ancestry| 19,106 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017534 | PGS003522 (cont-decay-log_ALT) |
PSS010801| European Ancestry| 3,939 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017702 | PGS003522 (cont-decay-log_ALT) |
PSS010549| Greater Middle Eastern Ancestry| 1,094 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017786 | PGS003522 (cont-decay-log_ALT) |
PSS010213| European Ancestry| 2,238 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017870 | PGS003522 (cont-decay-log_ALT) |
PSS010465| South Asian Ancestry| 5,938 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017954 | PGS003522 (cont-decay-log_ALT) |
PSS010381| East Asian Ancestry| 1,705 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018038 | PGS003522 (cont-decay-log_ALT) |
PSS010297| African Ancestry| 2,333 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018122 | PGS003522 (cont-decay-log_ALT) |
PSS010717| African Ancestry| 3,627 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017618 | PGS003522 (cont-decay-log_ALT) |
PSS010633| European Ancestry| 6,169 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM020443 | PGS004328 (X30600.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Albumin | — | — | PGS R2 (no covariates): 0.18905 | — | — |
| PPM020444 | PGS004329 (X30620.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Alanine aminotransferase (U/L) | — | — | PGS R2 (no covariates): 0.17221 | — | — |
| PPM020932 | PGS004707 (Albumin_PRSmix_eur) |
PSS011480| European Ancestry| 4,879 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Albumin | — | — | Incremental R2 (Full model versus model with only covariates): 0.029 [0.019, 0.038] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020933 | PGS004708 (Albumin_PRSmix_sas) |
PSS011460| South Asian Ancestry| 6,864 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Albumin | — | — | Incremental R2 (Full model versus model with only covariates): 0.029 [0.021, 0.037] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020934 | PGS004709 (Albumin_PRSmixPlus_eur) |
PSS011480| European Ancestry| 4,879 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Albumin | — | — | Incremental R2 (Full model versus model with only covariates): 0.042 [0.031, 0.053] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020935 | PGS004710 (Albumin_PRSmixPlus_sas) |
PSS011460| South Asian Ancestry| 6,864 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Albumin | — | — | Incremental R2 (Full model versus model with only covariates): 0.033 [0.025, 0.041] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020940 | PGS004715 (ALT_PRSmix_eur) |
PSS011457| European Ancestry| 5,247 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Alanine aminotransferase | — | — | Incremental R2 (Full model versus model with only covariates): 0.013 [0.007, 0.019] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020941 | PGS004716 (ALT_PRSmix_sas) |
PSS011458| South Asian Ancestry| 6,794 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Alanine aminotransferase | — | — | Incremental R2 (Full model versus model with only covariates): 0.03 [0.022, 0.038] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020942 | PGS004717 (ALT_PRSmixPlus_eur) |
PSS011457| European Ancestry| 5,247 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Alanine aminotransferase | — | — | Incremental R2 (Full model versus model with only covariates): 0.041 [0.03, 0.052] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020943 | PGS004718 (ALT_PRSmixPlus_sas) |
PSS011458| South Asian Ancestry| 6,794 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Alanine aminotransferase | — | — | Incremental R2 (Full model versus model with only covariates): 0.031 [0.023, 0.039] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM037971 | PGS019789 (TPMI_ALT_Lassosum2) |
PSS013691| East Asian Ancestry| 14,357 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Serum glutamate pyruvate transaminase | — | AUROC: 0.57287 | R²: 0.04167 | sex, age, array, PCs 1-10 | — |
| PPM037995 | PGS019813 (TPMI_ALT_LDPred2) |
PSS013690| East Asian Ancestry| 14,357 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Serum glutamate pyruvate transaminase | — | AUROC: 0.78939 | R²: 0.04462 | sex, age, array, PCs 1-10 | — |
| PPM038019 | PGS019837 (TPMI_ALT_PRS-CS) |
PSS013693| East Asian Ancestry| 14,357 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Serum glutamate pyruvate transaminase | — | AUROC: 0.67402 | R²: 0.04349 | sex, age, array, PCs 1-10 | — |
| PPM038043 | PGS019861 (TPMI_ALT_SBayesR) |
PSS013694| East Asian Ancestry| 14,357 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Serum glutamate pyruvate transaminase | — | — | R²: 0.0322 | sex, age, array, PCs 1-10 | — |
| PPM038067 | PGS019885 (TPMI_ALT_MegaPRS) |
PSS013692| East Asian Ancestry| 14,357 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Serum glutamate pyruvate transaminase | — | — | R²: 0.03914 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS009156 | — | — | 3,593 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS005021 | — | — | 119 individuals | — | African unspecified | — | UKB | — |
| PSS009201 | — | — | 3,950 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS000729 | — | — | 5,573 individuals | — | African unspecified | — | UKB | — |
| PSS000730 | — | — | 984 individuals | — | East Asian | — | UKB | — |
| PSS000731 | — | — | 21,516 individuals | — | European | Non-British White | UKB | — |
| PSS000732 | — | — | 6,687 individuals | — | South Asian | — | UKB | — |
| PSS000733 | — | — | 58,196 individuals | — | European (British) |
— | UKB | — |
| PSS010717 | — | — | 3,627 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS008710 | — | — | 5,803 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS005028 | — | — | 471 individuals | — | European | non-white British ancestry | UKB | — |
| PSS010213 | — | — | 2,238 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS005029 | — | — | 164 individuals | — | South Asian | — | UKB | — |
| PSS011911 | ICD10: E11 for T2D, N18 for CKD, first occurence of I20-125 for CAD. BMI: baseline body mass index | Median = 14.8 years | 48,603 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 8.2 years |
European, East Asian, South Asian, Hispanic or Latin American, African unspecified | — | UKB | — |
| PSS011912 | ICD10: E11 for T2D, N18 for CKD, first occurence of I20-125 for CAD, K76.0 for NAFLD. BMI: baseline body mass index | Median = 14.8 years | 45,356 individuals, 46.0 % Male samples |
Mean = 57.1 years Sd = 8.1 years |
European | — | UKB | — |
| PSS005030 | — | — | 1,275 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009901 | — | — | [
|
— | European | U.S. | BioVU, CAP, EPOS | PIVENS, FLINT, NASH |
| PSS009901 | — | — | [
|
— | Hispanic or Latin American | U.S. | NR | LQTS, NASH |
| PSS008755 | — | — | 6,321 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS013916 | — | — | [ ,
46.21 % Male samples |
— | European (British, Irish) |
— | UKB | — |
| PSS008262 | — | — | 5,478 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011457 | — | — | 5,247 individuals | — | European | — | AllofUs | — |
| PSS011458 | — | — | 6,794 individuals | — | South Asian | — | G&H | — |
| PSS010055 | — | — | 22,608 individuals | — | East Asian | — | KBA, KoGES | — |
| PSS011460 | — | — | 6,864 individuals | — | South Asian | — | G&H | — |
| PSS010801 | — | — | 3,939 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010297 | — | — | 2,333 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS011480 | — | — | 4,879 individuals | — | European | — | AllofUs | — |
| PSS008307 | — | — | 5,992 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS006916 | — | — | 5,573 individuals | — | African unspecified | — | UKB | — |
| PSS006917 | — | — | 1,436 individuals | — | East Asian | — | UKB | — |
| PSS006918 | — | — | 21,514 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006919 | — | — | 6,643 individuals | — | South Asian | — | UKB | — |
| PSS006920 | — | — | 58,191 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007826 | — | — | 2,159 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009382 | — | — | 17,457 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010885 | — | — | 19,106 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010381 | — | — | 1,705 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS007871 | — | — | 2,345 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS013690 | — | — | 14,357 individuals, 46.65 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013691 | — | — | 14,357 individuals, 46.65 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013692 | — | — | 14,357 individuals, 46.65 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013693 | — | — | 14,357 individuals, 46.65 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013694 | — | — | 14,357 individuals, 46.65 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009427 | — | — | 18,995 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008930 | — | — | 3,401 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010465 | — | — | 5,938 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS008975 | — | — | 3,656 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS005016 | — | — | 119 individuals | — | African unspecified | — | UKB | — |
| PSS005017 | — | — | 41 individuals | — | East Asian | — | UKB | — |
| PSS005018 | — | — | 471 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005019 | — | — | 164 individuals | — | South Asian | — | UKB | — |
| PSS008484 | — | — | 1,036 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS005020 | — | — | 1,275 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007066 | — | — | 5,658 individuals | — | African unspecified | — | UKB | — |
| PSS005023 | — | — | 471 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005024 | — | — | 164 individuals | — | South Asian | — | UKB | — |
| PSS005025 | — | — | 1,275 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007067 | — | — | 1,472 individuals | — | East Asian | — | UKB | — |
| PSS007068 | — | — | 21,759 individuals | — | European | non-white British ancestry | UKB | — |
| PSS000364 | — | — | 4,678 individuals | — | European (Swedish) |
— | MDC | — |
| PSS007069 | — | — | 6,786 individuals | — | South Asian | — | UKB | — |
| PSS007070 | — | — | 59,097 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005022 | — | — | 41 individuals | — | East Asian | — | UKB | — |
| PSS005026 | — | — | 119 individuals | — | African unspecified | — | UKB | — |
| PSS005027 | — | — | 41 individuals | — | East Asian | — | UKB | — |
| PSS007076 | — | — | 6,099 individuals | — | African unspecified | — | UKB | — |
| PSS007077 | — | — | 1,615 individuals | — | East Asian | — | UKB | — |
| PSS007078 | — | — | 23,758 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007079 | — | — | 7,414 individuals | — | South Asian | — | UKB | — |
| PSS007080 | — | — | 64,440 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS001062 | Serum concentrations of alanine transaminase (ALT), alkaline phosphatase (ALP), and gamma-glutamyl transferase (GGT) were measured from stored blood samples using the enzymatic rate analytical method on a Beckman Coulter AU5800. The manufacturer’s analytic range for ALT was 3–500 U/L, for ALP, 5–1500 U/L, and it was 5–1200 U/L for GGT. | — | 3,620 individuals | — | European | — | NFBC | — |
| PSS005031 | — | — | 119 individuals | — | African unspecified | — | UKB | — |
| PSS005032 | — | — | 41 individuals | — | East Asian | — | UKB | — |
| PSS005033 | — | — | 471 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005034 | — | — | 164 individuals | — | South Asian | — | UKB | — |
| PSS005035 | — | — | 1,275 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008529 | — | — | 1,123 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS010549 | — | — | 1,094 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS008040 | — | — | 1,560 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS000376 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,354 individuals, 47.56 % Male samples |
Mean = 16.22 years Sd = 0.66 years |
European | — | TRAILS | — |
| PSS001060 | Serum concentrations of alanine transaminase (ALT) and alkaline phosphatase (ALP), were measured from stored blood samples using the enzymatic rate analytical method on a Beckman Coulter AU5800. The manufacturer’s analytic range for ALT was 3–500 U/L, for ALP, 5–1500 U/L, and it was 5–1200 U/L for GGT. | — | 331 individuals | — | European | — | Airwave | — |
| PSS000622 | — | — | 6,017 individuals | — | African unspecified | — | UKB | — |
| PSS000623 | — | — | 1,081 individuals | — | East Asian | — | UKB | — |
| PSS000624 | — | — | 23,569 individuals | — | European | Non-British White | UKB | — |
| PSS000625 | — | — | 7,325 individuals | — | South Asian | — | UKB | — |
| PSS000626 | — | — | 63,766 individuals | — | European (British) |
— | UKB | — |
| PSS000627 | — | — | 5,573 individuals | — | African unspecified | — | UKB | — |
| PSS000628 | — | — | 984 individuals | — | East Asian | — | UKB | — |
| PSS000629 | — | — | 21,516 individuals | — | European | Non-British White | UKB | — |
| PSS000630 | — | — | 6,687 individuals | — | South Asian | — | UKB | — |
| PSS000631 | — | — | 58,196 individuals | — | European (British) |
— | UKB | — |
| PSS008084 | — | — | 1,716 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010633 | — | — | 6,169 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |