| 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
|
| Synonym | blood protein amount |
| Child trait(s) | 3 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| 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 |
| 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] | level 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 |
| 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. bioRxiv (2022) |Pre |
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 |
|
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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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. bioRxiv (2022) |Pre |
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) |
|
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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| PSS007066 | — | — | 5,658 individuals | — | African unspecified | — | UKB | — |
| PSS007067 | — | — | 1,472 individuals | — | East Asian | — | UKB | — |
| PSS008484 | — | — | 1,036 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS007068 | — | — | 21,759 individuals | — | European | non-white British ancestry | UKB | — |
| PSS000364 | — | — | 4,678 individuals | — | European (Swedish) |
— | MDC | — |
| 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) |
| PSS007070 | — | — | 59,097 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007069 | — | — | 6,786 individuals | — | South Asian | — | UKB | — |
| PSS005021 | — | — | 119 individuals | — | African unspecified | — | UKB | — |
| 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 | — |
| PSS005029 | — | — | 164 individuals | — | South Asian | — | UKB | — |
| PSS005030 | — | — | 1,275 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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 | — |
| 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 | — |